diff --git a/.gitignore b/.gitignore index a5e26829..4d8fb2a8 100644 --- a/.gitignore +++ b/.gitignore @@ -41,4 +41,5 @@ storybook-static/ CreateShaderFx/ # exclude private demo -app/private/ \ No newline at end of file +app/private/ +public/private/ diff --git a/.storybook/index.css b/.storybook/index.css deleted file mode 100644 index daa21042..00000000 --- a/.storybook/index.css +++ /dev/null @@ -1,9 +0,0 @@ -html, -body, -#storybook-root { - height: 100%; -} - -.sbdocs canvas { - height: 40rem; -} diff --git a/.storybook/main.ts b/.storybook/main.ts deleted file mode 100644 index c3232570..00000000 --- a/.storybook/main.ts +++ /dev/null @@ -1,28 +0,0 @@ -import type { StorybookConfig } from "@storybook/nextjs"; - -const config: StorybookConfig = { - staticDirs: ["./public"], - stories: [ - "./stories/**/*.mdx", - "./stories/**/*.stories.@(js|jsx|mjs|ts|tsx)", - ], - webpackFinal: async (config) => { - config.module?.rules?.push({ - test: /\.(glsl|vs|fs|vert|frag)$/, - exclude: /node_modules/, - use: ["raw-loader", "glslify-loader"], - }); - return config; - }, - addons: ["@storybook/addon-essentials", "@storybook/addon-docs"], - framework: { - name: "@storybook/nextjs", - options: { - nextConfigPath: "../next.config.js", - }, - }, - docs: { - autodocs: "tag", - }, -}; -export default config; diff --git a/.storybook/manager.ts b/.storybook/manager.ts deleted file mode 100644 index 18e76869..00000000 --- a/.storybook/manager.ts +++ /dev/null @@ -1,14 +0,0 @@ -import { addons } from "@storybook/manager-api"; -import { create } from "@storybook/theming/create"; - -addons.setConfig({ - theme: create({ - base: "dark", - brandImage: "/logo.svg", - brandUrl: "https://github.com/takuma-hmng8/use-shader-fx", - brandTitle: "use-shader-fx", - brandTarget: "_blank", - }), - panelPosition: "right", - showPanel: true, -}); diff --git a/.storybook/preview.tsx b/.storybook/preview.tsx deleted file mode 100644 index 4c8c7e3e..00000000 --- a/.storybook/preview.tsx +++ /dev/null @@ -1,36 +0,0 @@ -import React from "react"; -import type { Preview } from "@storybook/react"; -import { - Title, - Subtitle, - Description, - Primary, - Controls, -} from "@storybook/blocks"; - -import "./index.css"; - -const preview: Preview = { - parameters: { - layout: "fullscreen", - docs: { - page: () => ( - <> - - <Subtitle /> - <Description /> - <Primary /> - <Controls /> - </> - ), - }, - }, - decorators: [ - (Story) => ( - <React.Suspense fallback={null}> - <Story /> - </React.Suspense> - ), - ], -}; -export default preview; diff --git a/.storybook/public/app-head.jpg b/.storybook/public/app-head.jpg deleted file mode 100644 index 286c1a00..00000000 Binary files a/.storybook/public/app-head.jpg and /dev/null differ diff --git a/.storybook/public/favicon.ico b/.storybook/public/favicon.ico deleted file mode 100644 index 4a8c59a9..00000000 Binary files a/.storybook/public/favicon.ico and /dev/null differ diff --git a/.storybook/public/logo.svg 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a/.storybook/public/smoke.png b/.storybook/public/smoke.png deleted file mode 100644 index 06a600f7..00000000 Binary files a/.storybook/public/smoke.png and /dev/null differ diff --git a/.storybook/public/thumbnail.jpg b/.storybook/public/thumbnail.jpg deleted file mode 100644 index cc3791a6..00000000 Binary files a/.storybook/public/thumbnail.jpg and /dev/null differ diff --git a/.storybook/stories/UseAlphaBlending.stories.tsx b/.storybook/stories/UseAlphaBlending.stories.tsx deleted file mode 100644 index 6cab6e58..00000000 --- a/.storybook/stories/UseAlphaBlending.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseAlphaBlending } from "./UseAlphaBlending"; -import { - ALPHABLENDING_PARAMS, - AlphaBlendingParams, -} from "../../packages/use-shader-fx/src/fxs/utils/useAlphaBlending"; - -const meta = { - title: "utils/useAlphaBlending", - component: UseAlphaBlending, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseAlphaBlending>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: ALPHABLENDING_PARAMS, - argTypes: setArgTypes<AlphaBlendingParams>(ALPHABLENDING_PARAMS), -}; diff --git a/.storybook/stories/UseAlphaBlending.tsx b/.storybook/stories/UseAlphaBlending.tsx deleted file mode 100644 index df530850..00000000 --- a/.storybook/stories/UseAlphaBlending.tsx +++ /dev/null @@ -1,70 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, useLoader, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { - useAlphaBlending, - useMarble, - useBrush, -} from "../../packages/use-shader-fx/src"; -import { - ALPHABLENDING_PARAMS, - AlphaBlendingParams, -} from "../../packages/use-shader-fx/src/fxs/utils/useAlphaBlending"; - -extend({ FxMaterial }); - -const CONFIG: AlphaBlendingParams = structuredClone(ALPHABLENDING_PARAMS); -const setGUI = (gui: GUI) => {}; -const setConfig = () => { - return { - ...CONFIG, - } as AlphaBlendingParams; -}; - -export const UseAlphaBlending = (args: AlphaBlendingParams) => { - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - - const [updateBrush, setBrush, { output: brush }] = useBrush({ - size, - dpr, - }); - const [update, set, { output }] = useAlphaBlending({ - size, - dpr, - }); - const [updateMarble, setMarble, { output: marble }] = useMarble({ - size, - dpr, - }); - - set({ - texture: marble, - map: brush, - }); - - useFrame((props) => { - updateBrush(props); - updateMarble(props); - update(props); - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial - key={FxMaterial.key} - u_fx={output} - u_alpha={0.0} - ref={fxRef} - /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseBlank.stories.tsx b/.storybook/stories/UseBlank.stories.tsx deleted file mode 100644 index 1c398605..00000000 --- a/.storybook/stories/UseBlank.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseBlank } from "./UseBlank"; -import { - BLANK_PARAMS, - BlankParams, -} from "../../packages/use-shader-fx/src/fxs/misc/useBlank"; - -const meta = { - title: "misc/useBlank", - component: UseBlank, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseBlank>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: BLANK_PARAMS, - argTypes: setArgTypes<BlankParams>(BLANK_PARAMS), -}; diff --git a/.storybook/stories/UseBlank.tsx b/.storybook/stories/UseBlank.tsx deleted file mode 100644 index b0471c0c..00000000 --- a/.storybook/stories/UseBlank.tsx +++ /dev/null @@ -1,45 +0,0 @@ -import * as React from "react"; -import { useFrame, extend, useThree } from "@react-three/fiber"; -import { FxMaterial } from "../../utils/fxMaterial"; -import { useBlank } from "../../packages/use-shader-fx/src"; -import { BlankParams } from "../../packages/use-shader-fx/src/fxs/misc/useBlank"; -import { OnBeforeInitParameters } from "../../packages/use-shader-fx/src/fxs/types"; - -extend({ FxMaterial }); - -/** - * By default, it is a blank canvas with nothing drawn on it. You can customise the shaders using `onBeforeCompile`. - * Fragment shaders have `uTexture`,`uBackbuffer`,`uTime`,`uPointer` and `uResolution` as default uniforms. - * - * ※ `usf_FragColor` overrides `gl_FragColor` - * - * ※ `usf_Position` overrides `gl_Position` - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const UseBlank = (args: BlankParams) => { - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - - const [updateBlank, _, { output: blank }] = useBlank({ - size, - dpr: dpr, - onBeforeInit: React.useCallback((shader: OnBeforeInitParameters) => { - shader.fragmentShader = shader.fragmentShader.replace( - "#usf <main>", - `float t=uTime,c;vec2 z,n=vec2(cos(t),sin(t));z=vUv*2.-1.;for(int i=0;i<12;i++){if(dot(z,z)>8.)discard;z=vec2(z.x*z.x-z.y*z.y,z.x*z.y)+n;}c=cos(length(z)+log(length(z)));usf_FragColor=vec4(vec3(c),1.);` - ); - }, []), - }); - - useFrame((props) => { - updateBlank(props); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} u_fx={blank} u_alpha={0.0} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseBlending.tsx b/.storybook/stories/UseBlending.tsx deleted file mode 100644 index dc9ebc48..00000000 --- a/.storybook/stories/UseBlending.tsx +++ /dev/null @@ -1,88 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, useLoader, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { - useBlending, - useNoise, - useBrightnessPicker, - useFluid, - useCoverTexture, -} from "../../packages/use-shader-fx/src"; -import { - BlendingParams, - BLENDING_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/utils/useBlending"; - -extend({ FxMaterial }); - -const CONFIG: BlendingParams = structuredClone(BLENDING_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "mapIntensity", 0, 1, 0.01); - gui.add(CONFIG, "min", 0, 1, 0.01); - gui.add(CONFIG, "max", 0, 1, 0.01); -}; -const setConfig = () => { - return { - ...CONFIG, - } as BlendingParams; -}; - -/** - * Blend map to texture. You can set the threshold for blending with brightness. You can set the dodge color by setting color. If you don't want to reflect the map's color, you can use useFxBlending instead. - */ -export const UseBlending = (args: BlendingParams) => { - const updateGUI = useGUI(setGUI); - const [bg] = useLoader(THREE.TextureLoader, ["momo.jpg"]); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateCover] = useCoverTexture({ size, dpr }); - const [updateFluid, setFluid, { output: fluid }] = useFluid({ - size, - dpr, - }); - const [updateBlending] = useBlending({ size, dpr }); - - const colorVec = React.useMemo(() => new THREE.Vector3(), []); - - setFluid({ - densityDissipation: 0.92, - velocityDissipation: 0.99, - velocityAcceleration: 12.0, - splatRadius: 0.015, - curlStrength: 5.0, - pressureIterations: 4, - fluidColor: (velocity: THREE.Vector2) => { - const rCol = Math.max(0.0, Math.abs(velocity.x) * 150); - const gCol = Math.max(0.0, Math.abs(velocity.y) * 150); - const bCol = Math.max(0.1, (rCol + gCol) / 2); - return colorVec.set(rCol, gCol, bCol); - }, - }); - - useFrame((props) => { - const bgTexture = updateCover(props, { - texture: bg, - }); - updateFluid(props); - const fx = updateBlending(props, { - ...setConfig(), - texture: bgTexture, - map: fluid, - }); - fxRef.current!.u_fx = fx; - fxRef.current!.u_alpha = 0.0; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseBrightnessPicker.tsx b/.storybook/stories/UseBrightnessPicker.tsx deleted file mode 100644 index cf788883..00000000 --- a/.storybook/stories/UseBrightnessPicker.tsx +++ /dev/null @@ -1,61 +0,0 @@ -import * as React from "react"; -import { useFrame, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { - useNoise, - useBrightnessPicker, -} from "../../packages/use-shader-fx/src"; -import { - BrightnessPickerParams, - BRIGHTNESSPICKER_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/utils/useBrightnessPicker"; - -extend({ FxMaterial }); - -const CONFIG: BrightnessPickerParams = structuredClone(BRIGHTNESSPICKER_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG.brightness!, "x", 0, 1, 0.01); - gui.add(CONFIG.brightness!, "y", 0, 1, 0.01); - gui.add(CONFIG.brightness!, "z", 0, 1, 0.01); - gui.add(CONFIG, "min", 0, 1, 0.01); - gui.add(CONFIG, "max", 0, 1, 0.01); -}; -const setConfig = () => { - return { - ...CONFIG, - } as BrightnessPickerParams; -}; - -/** - * Blending the texture passed as map - */ -export const UseBrightnessPicker = (args: BrightnessPickerParams) => { - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - - const [updateNoise] = useNoise({ size, dpr }); - const [updateBrightnessPicker] = useBrightnessPicker({ size, dpr }); - - useFrame((props) => { - const noise = updateNoise(props); - const fx = updateBrightnessPicker(props, { - ...setConfig(), - texture: noise, - }); - fxRef.current!.u_fx = fx; - fxRef.current!.u_alpha = 0.0; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseBrush.tsx b/.storybook/stories/UseBrush.tsx deleted file mode 100644 index 056f6a7d..00000000 --- a/.storybook/stories/UseBrush.tsx +++ /dev/null @@ -1,82 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, extend, useThree, useLoader } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { useBrush, useFxTexture } from "../../packages/use-shader-fx/src"; -import { - BrushParams, - BRUSH_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/interactions/useBrush"; - -extend({ FxMaterial }); - -const CONFIG: BrushParams = structuredClone(BRUSH_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "radius", 0, 0.1, 0.01); - gui.add(CONFIG, "smudge", 0, 10, 0.01); - gui.add(CONFIG, "dissipation", 0, 1, 0.01); - gui.add(CONFIG, "motionBlur", 0, 10, 0.01); - gui.add(CONFIG, "motionSample", 0, 20, 1); - gui.addColor(CONFIG, "color"); -}; -const setConfig = () => { - return { - ...CONFIG, - } as BrushParams; -}; - -export const UseBrush = (args: BrushParams) => { - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateBrush] = useBrush({ - size, - dpr, - }); - useFrame((props) => { - const fx = updateBrush(props, setConfig()); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; - -export const UseBrushWithTexture = (args: BrushParams) => { - const [bg] = useLoader(THREE.TextureLoader, ["thumbnail.jpg"]); - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateFxTexture] = useFxTexture({ size, dpr }); - const [updateBrush, setBrush] = useBrush({ size, dpr }); - - useFrame((props) => { - const bgTexture = updateFxTexture(props, { - texture0: bg, - }); - const fx = updateBrush(props, { - ...setConfig(), - texture: bgTexture, - }); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseChromaKey.stories.tsx b/.storybook/stories/UseChromaKey.stories.tsx deleted file mode 100644 index 5d2c8eb1..00000000 --- a/.storybook/stories/UseChromaKey.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseChromaKey } from "./UseChromaKey"; -import { - CHROMAKEY_PARAMS, - ChromaKeyParams, -} from "../../packages/use-shader-fx/src/fxs/misc/useChromaKey"; - -const meta = { - title: "misc/useChromaKey", - component: UseChromaKey, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseChromaKey>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: CHROMAKEY_PARAMS, - argTypes: setArgTypes<ChromaKeyParams>(CHROMAKEY_PARAMS), -}; diff --git a/.storybook/stories/UseChromaKey.tsx b/.storybook/stories/UseChromaKey.tsx deleted file mode 100644 index 0e98164c..00000000 --- a/.storybook/stories/UseChromaKey.tsx +++ /dev/null @@ -1,74 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, useLoader, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { - useChromaKey, - useCoverTexture, -} from "../../packages/use-shader-fx/src"; -import { - CHROMAKEY_PARAMS, - ChromaKeyParams, -} from "../../packages/use-shader-fx/src/fxs/misc/useChromaKey"; - -extend({ FxMaterial }); - -const CONFIG: ChromaKeyParams = structuredClone(CHROMAKEY_PARAMS); -const setGUI = (gui: GUI) => { - gui.addColor(CONFIG, "keyColor"); - gui.add(CONFIG, "similarity", 0, 1, 0.01); - gui.add(CONFIG, "smoothness", 0, 1, 0.01); - gui.add(CONFIG, "spill", 0, 1, 0.01); - gui.addColor(CONFIG, "color"); - gui.add(CONFIG, "contrast", 0, 2, 0.01); - gui.add(CONFIG, "brightness", 0, 2, 0.01); - gui.add(CONFIG, "gamma", 0, 2, 0.01); -}; -const setConfig = () => { - return { - ...CONFIG, - } as ChromaKeyParams; -}; - -export const UseChromaKey = (args: ChromaKeyParams) => { - const updateGUI = useGUI(setGUI); - const [bg] = useLoader(THREE.TextureLoader, ["thumbnail.jpg"]); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - - const [update, set, { output }] = useChromaKey({ size, dpr }); - - const [updateCover, setCover, { output: cover }] = useCoverTexture({ - size, - dpr, - }); - - setCover({ - texture: bg, - }); - - useFrame((props) => { - updateCover(props); - update(props, { - ...setConfig(), - texture: cover, - }); - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial - key={FxMaterial.key} - u_fx={output} - u_alpha={0.0} - ref={fxRef} - /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseColorStrata.tsx b/.storybook/stories/UseColorStrata.tsx deleted file mode 100644 index 2b6f8fce..00000000 --- a/.storybook/stories/UseColorStrata.tsx +++ /dev/null @@ -1,93 +0,0 @@ -import * as React from "react"; -import { useFrame, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { useColorStrata, useNoise } from "../../packages/use-shader-fx/src"; -import { - COLORSTRATA_PARAMS, - ColorStrataParams, -} from "../../packages/use-shader-fx/src/fxs/noises/useColorStrata"; - -extend({ FxMaterial }); - -const CONFIG: ColorStrataParams = structuredClone(COLORSTRATA_PARAMS); - -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "laminateLayer", 0, 20, 1); - gui.add(CONFIG, "scale", 0, 1, 0.01); - const laminateInterval = gui.addFolder("laminateInterval"); - laminateInterval.add(CONFIG.laminateInterval!, "x", 0, 2, 0.01); - laminateInterval.add(CONFIG.laminateInterval!, "y", 0, 2, 0.01); - const laminateDetail = gui.addFolder("laminateDetail"); - laminateDetail.add(CONFIG.laminateDetail!, "x", 0, 10, 0.1); - laminateDetail.add(CONFIG.laminateDetail!, "y", 0, 10, 0.1); - const distortion = gui.addFolder("distortion"); - distortion.add(CONFIG.distortion!, "x", 0, 10, 0.01); - distortion.add(CONFIG.distortion!, "y", 0, 10, 0.01); - const colorFactor = gui.addFolder("colorFactor"); - colorFactor.add(CONFIG.colorFactor!, "x", 0, 10, 0.01); - colorFactor.add(CONFIG.colorFactor!, "y", 0, 10, 0.01); - colorFactor.add(CONFIG.colorFactor!, "z", 0, 10, 0.01); - const timeStrength = gui.addFolder("timeStrength"); - timeStrength.add(CONFIG.timeStrength!, "x", 0, 2, 0.01); - timeStrength.add(CONFIG.timeStrength!, "y", 0, 2, 0.01); -}; -const setConfig = () => { - return { - ...CONFIG, - } as ColorStrataParams; -}; - -export const UseColorStrata = (args: ColorStrataParams) => { - const updateGUI = useGUI(setGUI); - - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateColorStrata] = useColorStrata({ size, dpr }); - - useFrame((props) => { - const fx = updateColorStrata(props, { - ...setConfig(), - }); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; - -export const UseColorStrataWithNoise = (args: ColorStrataParams) => { - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateColorStrata] = useColorStrata({ size, dpr }); - const [updateNoise] = useNoise({ size, dpr }); - - useFrame((props) => { - const noise = updateNoise(props); - const fx = updateColorStrata(props, { - ...setConfig(), - texture: noise, - }); - - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseCosPalette.tsx b/.storybook/stories/UseCosPalette.tsx deleted file mode 100644 index 7283030b..00000000 --- a/.storybook/stories/UseCosPalette.tsx +++ /dev/null @@ -1,65 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, extend, useThree, useLoader } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { - useCosPalette, - useCoverTexture, -} from "../../packages/use-shader-fx/src"; -import { - CosPaletteParams, - COSPALETTE_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/noises/useCosPalette"; - -extend({ FxMaterial }); - -const CONFIG: CosPaletteParams = structuredClone(COSPALETTE_PARAMS); -const setGUI = (gui: GUI) => { - gui.addColor(CONFIG, "color1"); - gui.addColor(CONFIG, "color2"); - gui.addColor(CONFIG, "color3"); - gui.addColor(CONFIG, "color4"); - gui.add(CONFIG.rgbWeight!, "x", 0, 1, 0.299); - gui.add(CONFIG.rgbWeight!, "y", 0, 1, 0.587); - gui.add(CONFIG.rgbWeight!, "z", 0, 1, 0.114); -}; -const setConfig = () => { - return { - ...CONFIG, - } as CosPaletteParams; -}; - -export const UseCosPalette = (args: CosPaletteParams) => { - const updateGUI = useGUI(setGUI); - const [bg] = useLoader(THREE.TextureLoader, ["momo.jpg"]); - - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateCosPalette] = useCosPalette({ size, dpr }); - const [updateCover, setCover] = useCoverTexture({ size, dpr }); - - setCover({ - texture: bg, - }); - - useFrame((props) => { - const tex = updateCover(props); - const fx = updateCosPalette(props, { - ...setConfig(), - texture: tex, - }); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseCoverTexture.stories.tsx b/.storybook/stories/UseCoverTexture.stories.tsx deleted file mode 100644 index b1a7507a..00000000 --- a/.storybook/stories/UseCoverTexture.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseCoverTexture } from "./UseCoverTexture"; -import { - COVERTEXTURE_PARAMS, - CoverTextureParams, -} from "../../packages/use-shader-fx/src/fxs/utils/useCoverTexture"; - -const meta = { - title: "utils/useCoverTexture", - component: UseCoverTexture, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseCoverTexture>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: COVERTEXTURE_PARAMS, - argTypes: setArgTypes<CoverTextureParams>(COVERTEXTURE_PARAMS), -}; diff --git a/.storybook/stories/UseCoverTexture.tsx b/.storybook/stories/UseCoverTexture.tsx deleted file mode 100644 index 1173f50b..00000000 --- a/.storybook/stories/UseCoverTexture.tsx +++ /dev/null @@ -1,54 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, useLoader, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { useCoverTexture } from "../../packages/use-shader-fx/src"; -import { - COVERTEXTURE_PARAMS, - CoverTextureParams, -} from "../../packages/use-shader-fx/src/fxs/utils/useCoverTexture"; - -extend({ FxMaterial }); - -const CONFIG: CoverTextureParams = structuredClone(COVERTEXTURE_PARAMS); -const setGUI = (gui: GUI) => {}; -const setConfig = () => { - return { - ...CONFIG, - } as CoverTextureParams; -}; - -/** The hook with `~~Texutre` calculates the texture resolution and canvas resolution and covers the texture. */ -export const UseCoverTexture = (args: CoverTextureParams) => { - const [bg] = useLoader(THREE.TextureLoader, ["/momo.jpg"]); - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - - const [update, set, { output }] = useCoverTexture({ size, dpr }); - - set({ - texture: bg, - }); - - useFrame((props) => { - update(props); - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial - key={FxMaterial.key} - u_fx={output} - u_alpha={0.0} - ref={fxRef} - /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseDuoTone.tsx b/.storybook/stories/UseDuoTone.tsx deleted file mode 100644 index 2725fdd1..00000000 --- a/.storybook/stories/UseDuoTone.tsx +++ /dev/null @@ -1,54 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, useLoader, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import { useDuoTone, useFxTexture } from "../../packages/use-shader-fx/src"; -import { - DuoToneParams, - DUOTONE_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/utils/useDuoTone"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; - -extend({ FxMaterial }); - -const CONFIG: DuoToneParams = structuredClone(DUOTONE_PARAMS); -const setGUI = (gui: GUI) => { - gui.addColor(CONFIG, "color0"); - gui.addColor(CONFIG, "color1"); -}; -const setConfig = () => { - return { - ...CONFIG, - } as DuoToneParams; -}; - -export const UseDuoTone = (args: DuoToneParams) => { - const updateGUI = useGUI(setGUI); - const [bg] = useLoader(THREE.TextureLoader, ["thumbnail.jpg"]); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateFxTexture] = useFxTexture({ size, dpr }); - const [updateDuoTone] = useDuoTone({ size, dpr }); - - useFrame((props) => { - const bgTexture = updateFxTexture(props, { - texture0: bg, - }); - const fx = updateDuoTone(props, { - ...setConfig(), - texture: bgTexture, - }); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseFluid.tsx b/.storybook/stories/UseFluid.tsx deleted file mode 100644 index 25fc74bb..00000000 --- a/.storybook/stories/UseFluid.tsx +++ /dev/null @@ -1,101 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, extend, useThree, useLoader } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { - useFPSLimiter, - useFluid, - useFxTexture, -} from "../../packages/use-shader-fx/src"; -import { - FLUID_PARAMS, - FluidParams, -} from "../../packages/use-shader-fx/src/fxs/simulations/useFluid"; - -extend({ FxMaterial }); - -const CONFIG: FluidParams = structuredClone(FLUID_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "densityDissipation", 0, 1, 0.01); - gui.add(CONFIG, "velocityDissipation", 0, 1, 0.01); - gui.add(CONFIG, "velocityAcceleration", 0, 100, 1); - gui.add(CONFIG, "pressureDissipation", 0, 1, 0.01); - gui.add(CONFIG, "pressureIterations", 0, 30, 1); - gui.add(CONFIG, "curlStrength", 0, 100, 1); - gui.add(CONFIG, "splatRadius", 0, 0.2, 0.001); -}; -const setConfig = () => { - return { - ...CONFIG, - } as FluidParams; -}; - -export const UseFluid = (args: FluidParams) => { - const updateGUI = useGUI(setGUI); - - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateFluid] = useFluid({ - size, - dpr, - customFluidProps: { - curl: { - onBeforeInit: React.useCallback((shader: any) => { - console.log(shader.fragmentShader); - }, []), - }, - }, - }); - - useFrame((state) => { - const fx = updateFluid(state, setConfig()); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; - -export const UseFluidWithTexture = (args: FluidParams) => { - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateFluid] = useFluid({ size, dpr }); - - const [bg] = useLoader(THREE.TextureLoader, ["thumbnail.jpg"]); - const [updateFxTexture] = useFxTexture({ size, dpr }); - - useFrame((props) => { - const fx = updateFluid(props, setConfig()); - - const bgTexture = updateFxTexture(props, { - map: fx, - padding: 0.1, - mapIntensity: 0.3, - edgeIntensity: 0.3, - texture0: bg, - }); - - fxRef.current!.u_fx = bgTexture; - fxRef.current!.u_alpha = 0.0; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseFxBlending.tsx b/.storybook/stories/UseFxBlending.tsx deleted file mode 100644 index 1357c6b8..00000000 --- a/.storybook/stories/UseFxBlending.tsx +++ /dev/null @@ -1,60 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, useLoader, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { - useFxBlending, - useFluid, - useNoise, -} from "../../packages/use-shader-fx/src"; -import { - FxBlendingParams, - FXBLENDING_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/utils/useFxBlending"; - -extend({ FxMaterial }); - -const CONFIG: FxBlendingParams = structuredClone(FXBLENDING_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "mapIntensity", 0, 1, 0.01); -}; -const setConfig = () => { - return { - ...CONFIG, - } as FxBlendingParams; -}; - -/** - * Blend map to texture. You can change the intensity of fx applied by the rg value of map. Unlike "useBlending", the map color is not reflected. - */ -export const UseFxBlending = (args: FxBlendingParams) => { - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateFluid] = useFluid({ size, dpr }); - const [updateNoise] = useNoise({ size, dpr }); - const [updateFxBlending] = useFxBlending({ size, dpr }); - - useFrame((props) => { - const noise = updateNoise(props); - const fluid = updateFluid(props); - const blending = updateFxBlending(props, { - ...setConfig(), - texture: fluid, - map: noise, - }); - fxRef.current!.u_fx = blending; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseFxTexture.tsx b/.storybook/stories/UseFxTexture.tsx deleted file mode 100644 index 6ee369fe..00000000 --- a/.storybook/stories/UseFxTexture.tsx +++ /dev/null @@ -1,71 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, useLoader, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { useFxTexture, useNoise } from "../../packages/use-shader-fx/src"; -import { - FxTextureParams, - FXTEXTURE_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/utils/useFxTexture"; - -extend({ FxMaterial }); - -const CONFIG: FxTextureParams = structuredClone(FXTEXTURE_PARAMS); - -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "mapIntensity", 0, 10, 0.1); - gui.add(CONFIG, "edgeIntensity", 0, 10, 0.1); - const epicenter = gui.addFolder("epicenter"); - epicenter.add(CONFIG.epicenter!, "x", -1, 1, 0.1); - epicenter.add(CONFIG.epicenter!, "y", -1, 1, 0.1); - gui.add(CONFIG, "progress", 0, 1, 0.01); - const dir = gui.addFolder("dir"); - dir.add(CONFIG.dir!, "x", -1, 1, 0.01); - dir.add(CONFIG.dir!, "y", -1, 1, 0.01); - gui.add(CONFIG, "padding", 0, 0.3, 0.01); -}; -const setConfig = () => { - return { - ...CONFIG, - } as FxTextureParams; -}; - -/** - * Textures can be affected by a map; it is also possible to transition between two textures. If the resolution of texture0 and texture1 is different, it is linearly interpolated according to the value of progress - * - * ※ The hook with `~~Texutre` calculates the texture resolution and canvas resolution and covers the texture. - */ -export const UseFxTexture = (args: FxTextureParams) => { - const updateGUI = useGUI(setGUI); - const [bg, momo] = useLoader(THREE.TextureLoader, [ - "app-head.jpg", - "momo.jpg", - ]); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateFxTexture] = useFxTexture({ size, dpr }); - const [updateNoise] = useNoise({ size, dpr }); - - useFrame((props) => { - const noise = updateNoise(props); - const fx = updateFxTexture(props, { - ...setConfig(), - map: noise, - texture0: bg, - texture1: momo, - }); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseHSV.stories.tsx b/.storybook/stories/UseHSV.stories.tsx deleted file mode 100644 index c5c3f2cc..00000000 --- a/.storybook/stories/UseHSV.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseHSV } from "./UseHSV"; -import { - HSV_PARAMS, - HSVParams, -} from "../../packages/use-shader-fx/src/fxs/utils/useHSV"; - -const meta = { - title: "utils/useHSV", - component: UseHSV, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseHSV>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: HSV_PARAMS, - argTypes: setArgTypes<HSVParams>(HSV_PARAMS), -}; diff --git a/.storybook/stories/UseHSV.tsx b/.storybook/stories/UseHSV.tsx deleted file mode 100644 index 1613c735..00000000 --- a/.storybook/stories/UseHSV.tsx +++ /dev/null @@ -1,64 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, useLoader, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { useHSV, useCoverTexture } from "../../packages/use-shader-fx/src"; -import { - HSV_PARAMS, - HSVParams, -} from "../../packages/use-shader-fx/src/fxs/utils/useHSV"; - -extend({ FxMaterial }); - -const CONFIG: HSVParams = structuredClone(HSV_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "brightness", 0, 10, 0.01); - gui.add(CONFIG, "saturation", 0, 10, 0.01); -}; -const setConfig = () => { - return { - ...CONFIG, - } as HSVParams; -}; - -export const UseHSV = (args: HSVParams) => { - const [bg] = useLoader(THREE.TextureLoader, ["/momo.jpg"]); - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - - const [updateCover, setCover, { output: cover }] = useCoverTexture({ - size, - dpr, - }); - const [update, set, { output }] = useHSV({ size, dpr }); - - setCover({ - texture: bg, - }); - - useFrame((props) => { - updateCover(props); - update(props, { - ...setConfig(), - texture: cover, - }); - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial - key={FxMaterial.key} - u_fx={output} - u_alpha={0.0} - ref={fxRef} - /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseMarble.stories.tsx b/.storybook/stories/UseMarble.stories.tsx deleted file mode 100644 index be39ed4f..00000000 --- a/.storybook/stories/UseMarble.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseMarble } from "./UseMarble"; -import { - MARBLE_PARAMS, - MarbleParams, -} from "../../packages/use-shader-fx/src/fxs/noises/useMarble"; - -const meta = { - title: "noises/useMarble", - component: UseMarble, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseMarble>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: MARBLE_PARAMS, - argTypes: setArgTypes<MarbleParams>(MARBLE_PARAMS), -}; diff --git a/.storybook/stories/UseMarble.tsx b/.storybook/stories/UseMarble.tsx deleted file mode 100644 index 067c3777..00000000 --- a/.storybook/stories/UseMarble.tsx +++ /dev/null @@ -1,57 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, useLoader, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { useMarble } from "../../packages/use-shader-fx/src"; -import { - MARBLE_PARAMS, - MarbleParams, -} from "../../packages/use-shader-fx/src/fxs/noises/useMarble"; - -extend({ FxMaterial }); - -const CONFIG: MarbleParams = structuredClone(MARBLE_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "pattern", 0, 1000, 1); - gui.add(CONFIG, "complexity", 0, 10, 0.01); - gui.add(CONFIG, "complexityAttenuation", 0, 2, 0.01); - gui.add(CONFIG, "iterations", 0, 10, 1); - gui.add(CONFIG, "timeStrength", 0, 2, 0.01); - gui.add(CONFIG, "scale", 0, 1, 0.001); -}; -const setConfig = () => { - return { - ...CONFIG, - } as MarbleParams; -}; - -export const UseMarble = (args: MarbleParams) => { - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - - const [update, set, { output }] = useMarble({ size, dpr }); - - useFrame((props) => { - update(props, { - ...setConfig(), - }); - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial - key={FxMaterial.key} - u_fx={output} - u_alpha={0.0} - ref={fxRef} - /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseMorphParticles.tsx b/.storybook/stories/UseMorphParticles.tsx deleted file mode 100644 index 546da4de..00000000 --- a/.storybook/stories/UseMorphParticles.tsx +++ /dev/null @@ -1,78 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, extend, useThree, useLoader } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { useCreateMorphParticles } from "../../packages/use-shader-fx/src"; -import { - MORPHPARTICLES_PARAMS, - MorphParticlesParams, -} from "../../packages/use-shader-fx/src/fxs/3D/useMorphParticles"; -import { Environment, OrbitControls } from "@react-three/drei"; - -extend({ FxMaterial }); - -const CONFIG: MorphParticlesParams = structuredClone(MORPHPARTICLES_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "blurAlpha", 0, 1, 0.01); - gui.add(CONFIG, "blurRadius", 0, 2, 0.01); - gui.add(CONFIG, "pointSize", 0.01, 2, 0.01); - gui.addColor(CONFIG, "color0"); - gui.addColor(CONFIG, "color1"); - gui.addColor(CONFIG, "color2"); - gui.addColor(CONFIG, "color3"); - gui.add(CONFIG, "wobbleStrength", 0, 10, 0.01); - gui.add(CONFIG, "wobblePositionFrequency", 0, 10, 0.01); - gui.add(CONFIG, "wobbleTimeFrequency", 0, 10, 0.01); - gui.add(CONFIG, "warpStrength", 0, 10, 0.01); - gui.add(CONFIG, "warpPositionFrequency", 0, 10, 0.01); - gui.add(CONFIG, "warpTimeFrequency", 0, 10, 0.01); - gui.add(CONFIG, "displacementIntensity", 0, 10, 0.01); - gui.add(CONFIG, "displacementColorIntensity", 0, 40, 0.01); - gui.add(CONFIG, "morphProgress", 0, 1, 0.01); -}; -const setConfig = () => { - return { - ...CONFIG, - } as MorphParticlesParams; -}; - -const morphList = [ - new THREE.PlaneGeometry(5, 5, 100, 100).attributes.position - .array as Float32Array, - new THREE.TorusGeometry(2.5, 1, 50, 30).attributes.position - .array as Float32Array, -]; -const uvList = [ - new THREE.PlaneGeometry(5, 5, 100, 100).attributes.uv.array as Float32Array, - new THREE.TorusGeometry(2.5, 1, 50, 30).attributes.uv.array as Float32Array, -]; - -export const UseMorphParticles = (args: MorphParticlesParams) => { - const updateGUI = useGUI(setGUI); - - const { viewport, size } = useThree(); - - const [updateMorph, morph] = useCreateMorphParticles({ - scene: false, - size, - dpr: viewport.dpr, - geometry: React.useMemo(() => new THREE.IcosahedronGeometry(2.5, 50), []), - positions: morphList, - uvs: uvList, - }); - - useFrame((props) => { - updateMorph(props, { - ...setConfig(), - }); - updateGUI(); - }); - return ( - <mesh> - <OrbitControls /> - <primitive object={morph.points} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseMotionBlur.tsx b/.storybook/stories/UseMotionBlur.tsx deleted file mode 100644 index 5f62bd68..00000000 --- a/.storybook/stories/UseMotionBlur.tsx +++ /dev/null @@ -1,116 +0,0 @@ -import * as THREE from "three"; -import * as React from "react"; -import { useFrame, extend, useThree, createPortal } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { useMotionBlur, useSingleFBO } from "../../packages/use-shader-fx/src"; -import { - MotionBlurParams, - MOTIONBLUR_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/effects/useMotionBlur"; -import { OrbitControls } from "@react-three/drei"; - -extend({ FxMaterial }); - -const CONFIG: MotionBlurParams = structuredClone(MOTIONBLUR_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "strength", 0, 0.99, 0.01); -}; -const setConfig = () => { - return { - ...CONFIG, - } as MotionBlurParams; -}; - -export const UseMotionBlur = (args: MotionBlurParams) => { - const updateGUI = useGUI(setGUI); - - const fxRef = React.useRef<FxMaterialProps>(); - const { size, viewport, camera } = useThree(); - const [updateMotionBlur, setMotionBlur] = useMotionBlur({ - size, - dpr: viewport.dpr, - }); - - // This scene is rendered offscreen - const offscreenScene = React.useMemo(() => new THREE.Scene(), []); - - // create FBO for offscreen rendering - const [boxView, updateRenderTarget] = useSingleFBO({ - scene: offscreenScene, - camera, - size, - dpr: viewport.dpr, - samples: 4, - }); - - setMotionBlur({ - texture: boxView.texture, - }); - - useFrame((props) => { - updateRenderTarget(props.gl); - const fx = updateMotionBlur(props, { - strength: setConfig().strength, - }); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <> - {createPortal( - <mesh> - <ambientLight intensity={Math.PI} /> - <spotLight - position={[10, 10, 10]} - angle={0.15} - penumbra={1} - decay={0} - intensity={Math.PI} - /> - <pointLight - position={[-10, -10, -10]} - decay={0} - intensity={Math.PI} - /> - <Box position={[-1.5, 0, 0]} /> - <Box position={[1.5, 0, 0]} /> - </mesh>, - offscreenScene - )} - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - <OrbitControls /> - </> - ); -}; - -function Box(props: any) { - // This reference will give us direct access to the mesh - const meshRef = React.useRef<THREE.Mesh>(); - // Set up state for the hovered and active state - const [hovered, setHover] = React.useState(false); - const [active, setActive] = React.useState(false); - // Subscribe this component to the render-loop, rotate the mesh every frame - useFrame((state, delta) => { - meshRef.current!.rotation.x += delta; - meshRef.current!.rotation.y -= delta; - }); - // Return view, these are regular three.js elements expressed in JSX - return ( - <mesh - {...props} - ref={meshRef} - scale={active ? 2 : 1.5} - onClick={(event) => setActive(!active)} - onPointerOver={(event) => setHover(true)} - onPointerOut={(event) => setHover(false)}> - <boxGeometry args={[1, 1, 1]} /> - <meshStandardMaterial color={hovered ? "hotpink" : "orange"} /> - </mesh> - ); -} diff --git a/.storybook/stories/UseNoise.tsx b/.storybook/stories/UseNoise.tsx deleted file mode 100644 index 268f06a4..00000000 --- a/.storybook/stories/UseNoise.tsx +++ /dev/null @@ -1,55 +0,0 @@ -import * as React from "react"; -import { useFrame, extend, useThree } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { useNoise } from "../../packages/use-shader-fx/src"; -import { - NoiseParams, - NOISE_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/noises/useNoise"; - -extend({ FxMaterial }); - -const CONFIG: NoiseParams = structuredClone(NOISE_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "scale", 0, 10, 0.001); - gui.add(CONFIG, "timeStrength", 0, 10, 0.01); - gui.add(CONFIG, "noiseOctaves", 1, 10, 1); - gui.add(CONFIG, "fbmOctaves", 1, 10, 1); - gui.add(CONFIG, "warpOctaves", 1, 10, 1); - gui.add(CONFIG.warpDirection!, "x", 1, 10, 0.1); - gui.add(CONFIG.warpDirection!, "y", 1, 10, 0.1); - gui.add(CONFIG, "warpStrength", 1, 50, 0.1); -}; -const setConfig = () => { - return { - ...CONFIG, - } as NoiseParams; -}; - -/** - * Rather than using noise alone, use it by passing it to noise of another hook! This is to calculate noise at once when overlapping fx. - */ -export const UseNoise = (args: NoiseParams) => { - const updateGUI = useGUI(setGUI); - - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateNoise] = useNoise({ size, dpr }); - - useFrame((props) => { - const fx = updateNoise(props, setConfig()); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseRipple.tsx b/.storybook/stories/UseRipple.tsx deleted file mode 100644 index 78fefd44..00000000 --- a/.storybook/stories/UseRipple.tsx +++ /dev/null @@ -1,114 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, extend, useThree, useLoader } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { useRipple, useFxTexture } from "../../packages/use-shader-fx/src"; -import { - RippleParams, - RIPPLE_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/simulations/useRipple"; -import { OnBeforeInitParameters } from "../../packages/use-shader-fx/src/fxs/types"; - -extend({ FxMaterial }); - -const CONFIG: RippleParams = structuredClone(RIPPLE_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "frequency", 0, 0.1, 0.01); - gui.add(CONFIG, "rotation", 0, 1, 0.01); - gui.add(CONFIG, "fadeoutSpeed", 0, 0.99, 0.01); - gui.add(CONFIG, "scale", 0, 1, 0.01); - gui.add(CONFIG, "alpha", 0, 1, 0.01); -}; -const setConfig = () => { - return { - ...CONFIG, - } as RippleParams; -}; - -export const UseRipple = (args: RippleParams) => { - const [ripple] = useLoader(THREE.TextureLoader, ["smoke.png"]); - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, viewport } = useThree(); - const [updateRipple, setRipple] = useRipple({ - size, - texture: ripple, - dpr: viewport.dpr, - max: 80, - onBeforeInit: React.useCallback((shader: OnBeforeInitParameters) => { - Object.assign(shader.uniforms, { - testtest: { value: 0 }, - }); - shader.fragmentShader = shader.fragmentShader.replace( - "void main() {", - ` - uniform float testtest; - void main() { - ` - ); - shader.fragmentShader = shader.fragmentShader.replace( - "vec3 color = texture2D(uMap, uv).rgb", - ` - vec3 color = texture2D(uMap, uv).rgb; - color.r *= sin(testtest)*.5+.5; - color.g *= cos(testtest)*.5+.5; - ` - ); - }, []), - }); - - useFrame((props) => { - const fx = updateRipple(props, setConfig(), { - testtest: props.clock.getElapsedTime(), - }); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; - -export const UseRippleWithTexture = (args: RippleParams) => { - const [bg, ripple] = useLoader(THREE.TextureLoader, [ - "thumbnail.jpg", - "smoke.png", - ]); - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateFxTexture] = useFxTexture({ size, dpr }); - const [updateRipple] = useRipple({ - size, - dpr, - texture: ripple, - }); - - useFrame((props) => { - const fx = updateRipple(props, setConfig()); - - const bgTexture = updateFxTexture(props, { - texture0: bg, - map: fx, - mapIntensity: 1.3, - }); - - fxRef.current!.u_fx = bgTexture; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseSimpleBlur.tsx b/.storybook/stories/UseSimpleBlur.tsx deleted file mode 100644 index 261b434b..00000000 --- a/.storybook/stories/UseSimpleBlur.tsx +++ /dev/null @@ -1,66 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, extend, useThree, useLoader } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { - useSimpleBlur, - useFxTexture, - useCoverTexture, -} from "../../packages/use-shader-fx/src"; -import { - SimpleBlurParams, - SIMPLEBLUR_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/effects/useSimpleBlur"; - -extend({ FxMaterial }); - -const CONFIG: SimpleBlurParams = structuredClone(SIMPLEBLUR_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "blurSize", 0, 10, 0.01); - gui.add(CONFIG, "blurPower", 0, 10, 1); -}; -const setConfig = () => { - return { - ...CONFIG, - } as SimpleBlurParams; -}; - -export const UseSimpleBlur = (args: SimpleBlurParams) => { - const updateGUI = useGUI(setGUI); - const [bg] = useLoader(THREE.TextureLoader, ["thumbnail.jpg"]); - - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - - const [updateSimpleBlur] = useSimpleBlur({ size, dpr }); - - const [updateCover, setCover, { output: cover }] = useCoverTexture({ - size, - dpr, - }); - - setCover({ - texture: bg, - }); - - useFrame((props) => { - updateCover(props); - const fx = updateSimpleBlur(props, { - ...setConfig(), - texture: cover, - }); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseWave.tsx b/.storybook/stories/UseWave.tsx deleted file mode 100644 index a03d72fd..00000000 --- a/.storybook/stories/UseWave.tsx +++ /dev/null @@ -1,88 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, extend, useThree, useLoader } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { useWave, useFxTexture } from "../../packages/use-shader-fx/src"; -import { - WAVE_PARAMS, - WaveParams, -} from "../../packages/use-shader-fx/src/fxs/effects/useWave"; - -extend({ FxMaterial }); - -const CONFIG: WaveParams = structuredClone(WAVE_PARAMS); -const setGUI = (gui: GUI) => { - const epicenter = gui.addFolder("epicenter"); - epicenter.add(CONFIG.epicenter!, "x", -1, 1, 0.1); - epicenter.add(CONFIG.epicenter!, "y", -1, 1, 0.1); - gui.add(CONFIG, "progress", 0, 1, 0.1); - gui.add(CONFIG, "width", 0, 1, 0.1); - gui.add(CONFIG, "strength", 0, 1, 0.1); - gui.add(CONFIG, "mode", ["center", "horizontal", "vertical"]); -}; -const setConfig = () => { - return { - ...CONFIG, - } as WaveParams; -}; - -export const UseWave = (args: WaveParams) => { - const updateGUI = useGUI(setGUI); - - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - const [updateWave] = useWave({ size, dpr }); - - useFrame((props) => { - const fx = updateWave(props, setConfig()); - fxRef.current!.u_fx = fx; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; - -export const UseWaveWithTexture = (args: WaveParams) => { - const updateGUI = useGUI(setGUI); - const fxRef = React.useRef<FxMaterialProps>(); - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - - const [updateWave] = useWave({ size, dpr }); - const [updateFxTexture] = useFxTexture({ size, dpr }); - - const [bg] = useLoader(THREE.TextureLoader, ["thumbnail.jpg"]); - - useFrame((props) => { - const fx = updateWave(props, setConfig()); - - const bgTexture = updateFxTexture(props, { - map: fx, - padding: 0.2, - mapIntensity: 0.5, - edgeIntensity: 0.5, - texture0: bg, - }); - - fxRef.current!.u_fx = bgTexture; - fxRef.current!.u_alpha = 0.0; - updateGUI(); - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={fxRef} /> - </mesh> - ); -}; diff --git a/.storybook/stories/UseWobble3D.tsx b/.storybook/stories/UseWobble3D.tsx deleted file mode 100644 index deac12da..00000000 --- a/.storybook/stories/UseWobble3D.tsx +++ /dev/null @@ -1,71 +0,0 @@ -import * as React from "react"; -import * as THREE from "three"; -import { useFrame, extend, useThree, useLoader } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "../../utils/fxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "../../utils/useGUI"; -import { - useWobble3D, - useCreateWobble3D, -} from "../../packages/use-shader-fx/src"; -import { - WOBBLE3D_PARAMS, - Wobble3DParams, -} from "../../packages/use-shader-fx/src/fxs/3D/useWobble3D"; -import { Environment, OrbitControls } from "@react-three/drei"; - -extend({ FxMaterial }); - -const CONFIG: Wobble3DParams = structuredClone(WOBBLE3D_PARAMS); -const setGUI = (gui: GUI) => { - gui.addColor(CONFIG, "color0"); - gui.addColor(CONFIG, "color1"); - gui.addColor(CONFIG, "color2"); - gui.addColor(CONFIG, "color3"); - gui.add(CONFIG, "wobbleStrength", 0, 10, 0.01); - gui.add(CONFIG, "wobblePositionFrequency", 0, 10, 0.01); - gui.add(CONFIG, "wobbleTimeFrequency", 0, 10, 0.01); - gui.add(CONFIG, "warpStrength", 0, 10, 0.01); - gui.add(CONFIG, "warpPositionFrequency", 0, 10, 0.01); - gui.add(CONFIG, "warpTimeFrequency", 0, 10, 0.01); - gui.add(CONFIG, "colorMix", 0, 1, 0.01); - gui.add(CONFIG, "chromaticAberration", 0, 10, 0.01); - gui.add(CONFIG, "anisotropicBlur", 0, 10, 0.01); - gui.add(CONFIG, "distortion", 0, 10, 0.01); - gui.add(CONFIG, "distortionScale", 0, 10, 0.01); - gui.add(CONFIG, "temporalDistortion", 0, 10, 0.01); -}; -const setConfig = () => { - return { - ...CONFIG, - } as Wobble3DParams; -}; - -export const UseWobble3D = (args: Wobble3DParams) => { - const updateGUI = useGUI(setGUI); - - const [updateWobble, wobble] = useCreateWobble3D({ - baseMaterial: THREE.MeshPhysicalMaterial, - materialParameters: { - iridescence: 0.1, - metalness: 0.0, - roughness: 0.0, - transmission: 0.8, - thickness: 0.8, - }, - }); - - useFrame((props) => { - updateWobble(props, { - ...setConfig(), - }); - updateGUI(); - }); - return ( - <mesh> - <Environment preset="warehouse" background /> - <OrbitControls /> - <primitive object={wobble.mesh} /> - </mesh> - ); -}; diff --git a/.storybook/stories/useBlending.stories.tsx b/.storybook/stories/useBlending.stories.tsx deleted file mode 100644 index aed666a8..00000000 --- a/.storybook/stories/useBlending.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseBlending } from "./UseBlending"; -import { - BlendingParams, - BLENDING_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/utils/useBlending"; - -const meta = { - title: "utils/useBlending", - component: UseBlending, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseBlending>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: BLENDING_PARAMS, - argTypes: setArgTypes<BlendingParams>(BLENDING_PARAMS), -}; diff --git a/.storybook/stories/useBrightnessPicker.stories.tsx b/.storybook/stories/useBrightnessPicker.stories.tsx deleted file mode 100644 index 1ae16824..00000000 --- a/.storybook/stories/useBrightnessPicker.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseBrightnessPicker } from "./UseBrightnessPicker"; -import { - BrightnessPickerParams, - BRIGHTNESSPICKER_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/utils/useBrightnessPicker"; - -const meta = { - title: "utils/useBrightnessPicker", - component: UseBrightnessPicker, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseBrightnessPicker>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: BRIGHTNESSPICKER_PARAMS, - argTypes: setArgTypes<BrightnessPickerParams>(BRIGHTNESSPICKER_PARAMS), -}; diff --git a/.storybook/stories/useBrush.stories.tsx b/.storybook/stories/useBrush.stories.tsx deleted file mode 100644 index 98a6c13e..00000000 --- a/.storybook/stories/useBrush.stories.tsx +++ /dev/null @@ -1,34 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseBrush, UseBrushWithTexture } from "./UseBrush"; -import { - BRUSH_PARAMS, - BrushParams, -} from "../../packages/use-shader-fx/src/fxs/interactions/useBrush"; - -const meta = { - title: "interactions/useBrush", - component: UseBrush, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseBrush>; -export default meta; -type Story = StoryObj<typeof meta>; - -const storySetting = { - args: BRUSH_PARAMS, - argTypes: setArgTypes<BrushParams>(BRUSH_PARAMS), -}; - -export const Default: Story = { - render: (args) => <UseBrush {...args} />, - ...storySetting, -}; - -export const WithTexture: Story = { - render: (args) => <UseBrushWithTexture {...args} />, - ...storySetting, -}; diff --git a/.storybook/stories/useColorStrata.stories.tsx b/.storybook/stories/useColorStrata.stories.tsx deleted file mode 100644 index e66115e4..00000000 --- a/.storybook/stories/useColorStrata.stories.tsx +++ /dev/null @@ -1,33 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { - COLORSTRATA_PARAMS, - ColorStrataParams, -} from "../../packages/use-shader-fx/src/fxs/noises/useColorStrata"; -import { UseColorStrata, UseColorStrataWithNoise } from "./UseColorStrata"; - -const meta = { - title: "noises/useColorStrata", - component: UseColorStrata, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseColorStrata>; - -export default meta; -type Story = StoryObj<typeof meta>; - -const storySetting = { - args: COLORSTRATA_PARAMS, - argTypes: setArgTypes<ColorStrataParams>(COLORSTRATA_PARAMS), -}; -export const ColorStrata: Story = { - render: (args) => <UseColorStrata {...args} />, - ...storySetting, -}; -export const WithNoise: Story = { - render: (args) => <UseColorStrataWithNoise {...args} />, - ...storySetting, -}; diff --git a/.storybook/stories/useCosPalette.stories.tsx b/.storybook/stories/useCosPalette.stories.tsx deleted file mode 100644 index 9437f60a..00000000 --- a/.storybook/stories/useCosPalette.stories.tsx +++ /dev/null @@ -1,30 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseCosPalette } from "./UseCosPalette"; -import { - CosPaletteParams, - COSPALETTE_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/noises/useCosPalette"; - -const meta = { - title: "noises/useCosPalette", - component: UseCosPalette, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseCosPalette>; - -export default meta; -type Story = StoryObj<typeof meta>; - -const storySetting = { - args: COSPALETTE_PARAMS, - argTypes: setArgTypes<CosPaletteParams>(COSPALETTE_PARAMS), -}; - -export const Default: Story = { - render: (args) => <UseCosPalette {...args} />, - ...storySetting, -}; diff --git a/.storybook/stories/useDuoTone.stories.tsx b/.storybook/stories/useDuoTone.stories.tsx deleted file mode 100644 index f613eba3..00000000 --- a/.storybook/stories/useDuoTone.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseDuoTone } from "./UseDuoTone"; -import { - DUOTONE_PARAMS, - DuoToneParams, -} from "../../packages/use-shader-fx/src/fxs/utils/useDuoTone"; - -const meta = { - title: "utils/useDuoTone", - component: UseDuoTone, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseDuoTone>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: DUOTONE_PARAMS, - argTypes: setArgTypes<DuoToneParams>(DUOTONE_PARAMS), -}; diff --git a/.storybook/stories/useFluid.stories.tsx b/.storybook/stories/useFluid.stories.tsx deleted file mode 100644 index a5527e19..00000000 --- a/.storybook/stories/useFluid.stories.tsx +++ /dev/null @@ -1,33 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { - FLUID_PARAMS, - FluidParams, -} from "../../packages/use-shader-fx/src/fxs/simulations/useFluid"; -import { UseFluid, UseFluidWithTexture } from "./UseFluid"; - -const meta = { - title: "simulations/useFluid", - component: UseFluid, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseFluid>; - -export default meta; -type Story = StoryObj<typeof meta>; - -const storySetting = { - args: FLUID_PARAMS, - argTypes: setArgTypes<FluidParams>(FLUID_PARAMS), -}; -export const Fluid: Story = { - render: (args) => <UseFluid {...args} />, - ...storySetting, -}; -export const WithTexture: Story = { - render: (args) => <UseFluidWithTexture {...args} />, - ...storySetting, -}; diff --git a/.storybook/stories/useFxBlending.stories.tsx b/.storybook/stories/useFxBlending.stories.tsx deleted file mode 100644 index cac088c9..00000000 --- a/.storybook/stories/useFxBlending.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseFxBlending } from "./UseFxBlending"; -import { - FxBlendingParams, - FXBLENDING_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/utils/useFxBlending"; - -const meta = { - title: "utils/useFxBlending", - component: UseFxBlending, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseFxBlending>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: FXBLENDING_PARAMS, - argTypes: setArgTypes<FxBlendingParams>(FXBLENDING_PARAMS), -}; diff --git a/.storybook/stories/useFxTexture.stories.tsx b/.storybook/stories/useFxTexture.stories.tsx deleted file mode 100644 index ba62910f..00000000 --- a/.storybook/stories/useFxTexture.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseFxTexture } from "./UseFxTexture"; -import { - FxTextureParams, - FXTEXTURE_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/utils/useFxTexture"; - -const meta = { - title: "utils/useFxTexture", - component: UseFxTexture, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseFxTexture>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: FXTEXTURE_PARAMS, - argTypes: setArgTypes<FxTextureParams>(FXTEXTURE_PARAMS), -}; diff --git a/.storybook/stories/useMorphParticles.stories.tsx b/.storybook/stories/useMorphParticles.stories.tsx deleted file mode 100644 index 3c36df5f..00000000 --- a/.storybook/stories/useMorphParticles.stories.tsx +++ /dev/null @@ -1,29 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { - MORPHPARTICLES_PARAMS, - MorphParticlesParams, -} from "../../packages/use-shader-fx/src/fxs/3D/useMorphParticles"; -import { UseMorphParticles } from "./UseMorphParticles"; - -const meta = { - title: "3D/useMorphParticles", - component: UseMorphParticles, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseMorphParticles>; - -export default meta; -type Story = StoryObj<typeof meta>; - -const storySetting = { - args: MORPHPARTICLES_PARAMS, - argTypes: setArgTypes<MorphParticlesParams>(MORPHPARTICLES_PARAMS), -}; -export const MorphParticles: Story = { - render: (args) => <UseMorphParticles {...args} />, - ...storySetting, -}; diff --git a/.storybook/stories/useMotionBlur.stories.tsx b/.storybook/stories/useMotionBlur.stories.tsx deleted file mode 100644 index 07acc866..00000000 --- a/.storybook/stories/useMotionBlur.stories.tsx +++ /dev/null @@ -1,30 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { - MotionBlurParams, - MOTIONBLUR_PARAMS, -} from "../../packages/use-shader-fx/src/fxs/effects/useMotionBlur"; -import { UseMotionBlur } from "./UseMotionBlur"; - -const meta = { - title: "effects/useMotionBlur", - component: UseMotionBlur, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseMotionBlur>; - -export default meta; -type Story = StoryObj<typeof meta>; - -const storySetting = { - args: MOTIONBLUR_PARAMS, - argTypes: setArgTypes<MotionBlurParams>(MOTIONBLUR_PARAMS), -}; - -export const Default: Story = { - render: (args) => <UseMotionBlur {...args} />, - ...storySetting, -}; diff --git a/.storybook/stories/useNoise.stories.tsx b/.storybook/stories/useNoise.stories.tsx deleted file mode 100644 index ccd01c2d..00000000 --- a/.storybook/stories/useNoise.stories.tsx +++ /dev/null @@ -1,30 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { - NOISE_PARAMS, - NoiseParams, -} from "../../packages/use-shader-fx/src/fxs/noises/useNoise"; -import { UseNoise } from "./UseNoise"; - -const meta = { - title: "noises/useNoise", - component: UseNoise, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseNoise>; - -export default meta; -type Story = StoryObj<typeof meta>; - -const storySetting = { - args: NOISE_PARAMS, - argTypes: setArgTypes<NoiseParams>(NOISE_PARAMS), -}; - -export const Default: Story = { - render: (args) => <UseNoise {...args} />, - ...storySetting, -}; diff --git a/.storybook/stories/useRipple.stories.tsx b/.storybook/stories/useRipple.stories.tsx deleted file mode 100644 index 41b83887..00000000 --- a/.storybook/stories/useRipple.stories.tsx +++ /dev/null @@ -1,34 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseRipple, UseRippleWithTexture } from "./UseRipple"; -import { - RIPPLE_PARAMS, - RippleParams, -} from "../../packages/use-shader-fx/src/fxs/simulations/useRipple"; - -const meta = { - title: "simulations/useRipple", - component: UseRipple, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseRipple>; -export default meta; -type Story = StoryObj<typeof meta>; - -const storySetting = { - args: RIPPLE_PARAMS, - argTypes: setArgTypes<RippleParams>(RIPPLE_PARAMS), -}; - -export const Default: Story = { - render: (args) => <UseRipple {...args} />, - ...storySetting, -}; - -export const WithTexture: Story = { - render: (args) => <UseRippleWithTexture {...args} />, - ...storySetting, -}; diff --git a/.storybook/stories/useSimpleBlur.stories.tsx b/.storybook/stories/useSimpleBlur.stories.tsx deleted file mode 100644 index e4cfdc1e..00000000 --- a/.storybook/stories/useSimpleBlur.stories.tsx +++ /dev/null @@ -1,24 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { UseSimpleBlur } from "./UseSimpleBlur"; -import { - SIMPLEBLUR_PARAMS, - SimpleBlurParams, -} from "../../packages/use-shader-fx/src/fxs/effects/useSimpleBlur"; - -const meta = { - title: "effects/useSimpleBlur", - component: UseSimpleBlur, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseSimpleBlur>; -export default meta; -type Story = StoryObj<typeof meta>; - -export const Default: Story = { - args: SIMPLEBLUR_PARAMS, - argTypes: setArgTypes<SimpleBlurParams>(SIMPLEBLUR_PARAMS), -}; diff --git a/.storybook/stories/useWave.stories.tsx b/.storybook/stories/useWave.stories.tsx deleted file mode 100644 index 70444001..00000000 --- a/.storybook/stories/useWave.stories.tsx +++ /dev/null @@ -1,33 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { - WAVE_PARAMS, - WaveParams, -} from "../../packages/use-shader-fx/src/fxs/effects/useWave"; -import { UseWave, UseWaveWithTexture } from "./UseWave"; - -const meta = { - title: "effects/useWave", - component: UseWave, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseWave>; - -export default meta; -type Story = StoryObj<typeof meta>; - -const storySetting = { - args: WAVE_PARAMS, - argTypes: setArgTypes<WaveParams>(WAVE_PARAMS), -}; -export const Fluid: Story = { - render: (args) => <UseWave {...args} />, - ...storySetting, -}; -export const WithTexture: Story = { - render: (args) => <UseWaveWithTexture {...args} />, - ...storySetting, -}; diff --git a/.storybook/stories/useWobble3D.stories.tsx b/.storybook/stories/useWobble3D.stories.tsx deleted file mode 100644 index 01c619fe..00000000 --- a/.storybook/stories/useWobble3D.stories.tsx +++ /dev/null @@ -1,29 +0,0 @@ -import * as React from "react"; -import type { StoryObj } from "@storybook/react"; -import { setArgTypes } from "../utils/setArgTypes"; -import { Setup } from "../utils/Setup"; -import type { Meta } from "@storybook/react"; -import { - WOBBLE3D_PARAMS, - Wobble3DParams, -} from "../../packages/use-shader-fx/src/fxs/3D/useWobble3D"; -import { UseWobble3D } from "./UseWobble3D"; - -const meta = { - title: "3D/useWobble3D", - component: UseWobble3D, - tags: ["autodocs"], - decorators: [(storyFn: any) => <Setup>{storyFn()}</Setup>], -} satisfies Meta<typeof UseWobble3D>; - -export default meta; -type Story = StoryObj<typeof meta>; - -const storySetting = { - args: WOBBLE3D_PARAMS, - argTypes: setArgTypes<Wobble3DParams>(WOBBLE3D_PARAMS), -}; -export const Wobble3D: Story = { - render: (args) => <UseWobble3D {...args} />, - ...storySetting, -}; diff --git a/.storybook/utils/Setup.tsx b/.storybook/utils/Setup.tsx deleted file mode 100644 index 5fa185f0..00000000 --- a/.storybook/utils/Setup.tsx +++ /dev/null @@ -1,16 +0,0 @@ -"use client"; -import * as React from "react"; -import { useState } from "react"; -import { Canvas } from "@react-three/fiber"; -import { Perf } from "r3f-perf"; -import { PerformanceMonitor } from "@react-three/drei"; - -export const Setup = ({ children }: { children: React.ReactNode }) => { - // const [dpr, setDpr] = useState(1.5);s - return ( - <Canvas> - {children} - <Perf position={"bottom-left"} minimal={false} /> - </Canvas> - ); -}; diff --git a/.storybook/utils/setArgTypes.ts b/.storybook/utils/setArgTypes.ts deleted file mode 100644 index fd2601a4..00000000 --- a/.storybook/utils/setArgTypes.ts +++ /dev/null @@ -1,35 +0,0 @@ -/** - * Disables the argType control and sets the Default value. The Default value is set by converting the InitialParams value to a string. For objects, it is a JSON string. - */ -export const setArgTypes = <T extends Record<string, any>>(args: T) => { - return Object.keys(args).reduce< - Record< - keyof T, - { - control: { type: null }; - table: { defaultValue: { summary: string } }; - } - > - >( - (acc, key) => { - const value = args[key]; - const summaryValue = - typeof value === "object" && value !== null - ? JSON.stringify(value) - : String(value); - - acc[key as keyof T] = { - control: { type: null }, - table: { defaultValue: { summary: summaryValue } }, - }; - return acc; - }, - {} as Record< - keyof T, - { - control: { type: null }; - table: { defaultValue: { summary: string } }; - } - > - ); -}; diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index e02701b7..854139a3 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -1,22 +1 @@ # Contributing - -Thank you for considering contributing even a little to this maniacal and self-satisfied library！😊 -This repository uses Typescript so please continue to do so. - -## How to Contribute - -1. Fork and clone the repo -2. Run `yarn install` to install dependencies -3. Create a branch for your PR with `git switch -c /issue-number-your-branch-name` - -Please refer to the `README` for instructions on how to create a custom hook! -👉 [README](README.md)! 👈 - -## Storybook - -When creating a new FX, you need to add a Storybook Story. -I am creating a component to make the custom hook's args explicit to storybook. -(This is not the original usage, so the structure is a bit complicated...😭) - -- Each story is stored in .storybook/stories -- utils contains functions useful for creating stories diff --git a/README.md b/README.md index 2ca77a06..8dd24020 100644 --- a/README.md +++ b/README.md @@ -1,546 +1,3 @@ ![use-shader-fx](public/app-head.jpg) -`use-shader-fx` is a library designed to easily implement shader effects such as fluid simulations and noise. It relies on [react-three-fiber](https://github.com/pmndrs/react-three-fiber) and has been designed with performance control in mind, especially when combined with [drei](https://github.com/pmndrs/drei). - -For details on each FX, please refer to Storybook -👉 [Storybook](https://use-shader-fx-stories.vercel.app/) 👈 - -```bash -npm install @funtech-inc/use-shader-fx -``` - -### Click for the demo! 🤩 - -<table> - <tr> - <td><a href="https://use-shader-fx.vercel.app/"><img src="public/gif/gif0.gif" width="240"/></a></td> - <td><a href="https://use-shader-fx.vercel.app/cream"><img src="public/gif/gif1.gif" width="240"/></a></td> - <td><a href="https://use-shader-fx.vercel.app/useMorphParticles"><img src="public/gif/gif2.gif" - width="240"/></a></td> - <td><a href="https://use-shader-fx.vercel.app/obscurus"><img src="public/gif/gif3.gif" - width="240"/></a></td> - </tr> - <tr> - <td><a href="https://particles-demo-green.vercel.app/"><img src="public/gif/gif6.gif" - width="240"/></a></td> - <td><a href="https://use-shader-fx.vercel.app/useWobble3D"><img src="public/gif/gif4.gif" - width="240"/></a></td> - <td><a href="https://romanticism.vercel.app/"><img src="public/gif/gif5.gif" - width="240"/></a></td> - </tr> -</table> - -# Hooks Index - -### FXs - -<table> -<tr> -<th><strong>effects</strong></th> -<td><a href="https://use-shader-fx-stories.vercel.app/?path=/docs/effects-usemotionblur--docs">useMotionBlur</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/effects-usesimpleblur--docs">useSimpleBlur</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/effects-usewave--docs">useWave</a></td> -</tr> - -<tr> -<th><strong>interactions</strong></th> -<td><a href="https://use-shader-fx-stories.vercel.app/?path=/docs/interactions-usebrush--docs">useBrush</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/interactions-usefluid--docs">useFluid</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/interactions-useripple--docs">useRipple</a></td> -</tr> - -<tr> -<th><strong>misc</strong></th> -<td><a href="https://use-shader-fx-stories.vercel.app/?path=/docs/misc-usechromakey--docs">useChromaKey</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/misc-useblank--docs">useBlank</a></td> -</tr> - -<tr> -<th><strong>noises</strong></th> -<td><a href="https://use-shader-fx-stories.vercel.app/?path=/docs/noises-usecolorstrata--docs">useColorStrata</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/noises-usemarble--docs">useMarble</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/noises-usenoise--docs">useNoise</a></td> -</tr> - -<tr> -<th><strong>utils</strong></th> -<td><a href="https://use-shader-fx-stories.vercel.app/?path=/docs/utils-usealphablending--docs">useAlphaBlending</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/utils-useblending--docs">useBlending</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/utils-usebrightnesspicker--docs">useBrightnessPicker</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/utils-usecovertexture--docs">useCoverTexture</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/utils-useduotone--docs">useDuoTone</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/utils-usefxblending--docs">useFxBlending</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/utils-usefxtexture--docs">useFxTexture</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/utils-usehsv--docs">useHSV</a></td> -</tr> - -<tr> -<th><strong><a href="#3D">3D</a></strong></th> -<td><a href="https://use-shader-fx-stories.vercel.app/?path=/docs/3d-usemorphparticles--docs">useMorphParticles</a>, <a href="https://use-shader-fx-stories.vercel.app/?path=/docs/3d-usewobble3d--docs">useWobble3D</a></td> -</tr> - -</table> -※ The hook with `~~Texutre` calculates the texture resolution and canvas resolution and covers the texture. - -### Misc - -<table> -<tr> -<th><strong>misc</strong></th> -<td><a href="#usebeat">useBeat</a>, <a href="#usefpslimiter">useFPSLimiter</a>, <a href="#usepointer">usePointer</a>, <a href="#usedomsyncer">useDomSyncer</a></td> -</tr> -</table> - -# Usage - -From each `fxHooks`, you can receive [`updateFx`, `setParams`, `fxObject`] in array format. `HooksProps` are objects that are different for each hook and contain values such as `size`, `dpr` ... etc. - -1. `updateFx` - Functions to update parameters and render. -2. `updateParams` - Function to update parameters only. -3. `fxObject` - An object that holds various FX components, such as scene, camera, mesh, renderTarget, and `output`(final rendered texture). -4. `HooksProps` - `size`,`dpr`,`isSizeUpdate`,`onBeforeInit` and `renderTargetOptions` ※ `isSizeUpdate` : Whether to `setSize` the FBO when updating size or dpr(default : `false`). - -```js -const [updateFx, updateParams, fxObject] = useSomeFx(HooksProps); -``` - -Call `updateFx` on `useFrame`. The first argument is the RootState of `useFrame` and the second argument is `HookParams`. The third argument can be `CustomParams` customised by the user. Each FX has `HookParams` and each type is exported. - -```js -useFrame((rootState) => { - const texture = updateFx(rootState, HookParams, CustomParams); -}); -``` - -### Starter template with Next.js + TypeScript 🎨 - -<a href="/FunTechInc/blankcanvas"><img width="100%" src="public/gif/blankcanvas.gif"/></a> - -[blankcanvas](https://github.com/FunTechInc/blankcanvas) - -## The simplest example - -This is the simplest example! - -```tsx -import * as THREE from "three"; -import { useRef } from "react"; -import { useFrame, useThree } from "@react-three/fiber"; -import { useFluid } from "@funtech-inc/use-shader-fx"; - -export const Home = () => { - const { size } = useThree(); - const [updateFluid, , { output }] = useFluid({ - size: { - width: size.width, - height: size.height, - }, - dpr: 1, - }); - useFrame((rootState) => updateFluid(rootState)); - return ( - <mesh> - <boxGeometry args={[3, 3, 3]} /> - <meshStandardMaterial map={output} roughness={0.05} metalness={0.4} /> - </mesh> - ); -}; -``` - -## Integrate with r3f scenes. - -You can use `r3f/createPortal` to make some mesh render off-screen. All that remains is to combine the generated textures with FX! - -```tsx -import * as THREE from "three"; -import { useMemo, useRef, useState } from "react"; -import { useFrame, useThree, createPortal } from "@react-three/fiber"; -import { useNoise, useSingleFBO } from "@hmng8/use-shader-fx"; - -function Box(props: any) { - // This reference will give us direct access to the mesh - const meshRef = useRef<THREE.Mesh>(); - // Set up state for the hovered and active state - const [hovered, setHover] = useState(false); - const [active, setActive] = useState(false); - // Subscribe this component to the render-loop, rotate the mesh every frame - useFrame((state, delta) => { - meshRef.current!.rotation.x += delta; - meshRef.current!.rotation.y -= delta; - }); - // Return view, these are regular three.js elements expressed in JSX - return ( - <mesh - {...props} - ref={meshRef} - scale={active ? 2 : 1.5} - onClick={(event) => setActive(!active)} - onPointerOver={(event) => setHover(true)} - onPointerOut={(event) => setHover(false)}> - <boxGeometry args={[1, 1, 1]} /> - <meshStandardMaterial color={hovered ? "hotpink" : "orange"} /> - </mesh> - ); -} - -export const Home = () => { - const ref = useRef<THREE.ShaderMaterial>(null); - const { size, viewport, camera } = useThree(); - const [updateNoise, , { output }] = useNoise({ - size, - dpr: viewport.dpr, - }); - - // This scene is rendered offscreen - const offscreenScene = useMemo(() => new THREE.Scene(), []); - - // create FBO for offscreen rendering - const [boxView, updateRenderTarget] = useSingleFBO({ - scene: offscreenScene, - camera, - size, - dpr: viewport.dpr, - }); - - useFrame((rootState) => { - updateNoise(rootState); - updateRenderTarget(rootState.gl); - }); - - return ( - <> - {createPortal( - <mesh> - <ambientLight intensity={Math.PI} /> - <spotLight - position={[10, 10, 10]} - angle={0.15} - penumbra={1} - decay={0} - intensity={Math.PI} - /> - <pointLight - position={[-10, -10, -10]} - decay={0} - intensity={Math.PI} - /> - <Box position={[-1.5, 0, 0]} /> - <Box position={[1.5, 0, 0]} /> - </mesh>, - offscreenScene - )} - <mesh> - <planeGeometry args={[2, 2]} /> - <shaderMaterial - ref={ref} - transparent - vertexShader={` - varying vec2 vUv; - void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); - } - `} - fragmentShader={` - precision highp float; - varying vec2 vUv; - uniform sampler2D u_fx; - uniform sampler2D u_texture; - - void main() { - vec2 uv = vUv; - vec3 noiseMap = texture2D(u_fx, uv).rgb; - vec3 nNoiseMap = noiseMap * 2.0 - 1.0; - uv = uv * 2.0 - 1.0; - uv *= mix(vec2(1.0), abs(nNoiseMap.rg), .6); - uv = (uv + 1.0) / 2.0; - gl_FragColor = texture2D(u_texture, uv); - } - `} - uniforms={{ - u_texture: { value: boxView.texture }, - u_fx: { value: output }, - }} - /> - </mesh> - </> - ); -}; -``` - -# Performance - -You can control the `dpr` using the `PerformanceMonitor` from [drei](https://github.com/pmndrs/drei). For more details, please refer to the [scaling-performance](https://docs.pmnd.rs/react-three-fiber/advanced/scaling-performance) of r3f. - -```js -export const Fx = () => { - const [dpr, setDpr] = useState(1.5); - return ( - <Canvas dpr={dpr}> - <PerformanceMonitor - factor={1} - onChange={({ factor }) => { - console.log(`dpr:${dpr}`); - setDpr(Math.round((0.5 + 1.5 * factor) * 10) / 10); - }}> - <Suspense fallback={null}> - <Scene /> - </Suspense> - <Perf position={"bottom-right"} minimal={false} /> - </PerformanceMonitor> - </Canvas> - ); -}; -``` - -By using the `PerformanceMonitor`, you can subscribe to performance changes with `usePerformanceMonitor`. For more details, refer to [drei](https://github.com/pmndrs/drei#performancemonitor). - -With `setParams` received from `fxHooks`, it's possible to independently control high-load items such as iteration counts. - -```js -usePerformanceMonitor({ - onChange({ factor }) { - setParams({ - pressure_iterations: Math.round(20 * factor), - }); - }, -}); -``` - -When using some expensive FX (such as `useFluid`), lowering the `dpr` of the FBO of that FX can improve performance. - -```js -const [updateFx, setParams, fxObject] = useSomeFx({ size, dpr: 0.01 }); -``` - -Also, you can make more detailed adjustments by passing an object to `dpr` instead of `number`. - -```ts -type Dpr = - | number - | { - /** you can set whether `dpr` affects `shader`. default : `false` */ - shader?: false | number; - /** you can set whether `dpr` affects `fbo`. default : `false` */ - fbo?: false | number; - }; -``` - -# Misc - -## useDomSyncer - -The second argument contains the dependency array that updates the DOM. For example, you can pass a `pathname` when navigating pages. - -```tsx -const [updateDomSyncer, setDomSyncer, domSyncerObj] = useDomSyncer( - { size, dpr }, - [state] -); - -useLayoutEffect(() => { - if (state === 0) { - domArr.current = [...document.querySelectorAll(".item")!]; - } else { - domArr.current = [...document.querySelectorAll(".item2")!]; - } - setDomSyncer({ - // Because DOM rendering and React updates occur asynchronously, there may be a lag between updating dependent arrays and setting DOM arrays. That's what the Key is for. If the dependent array is updated but the Key is not, the loop will skip and return an empty texture. By updating the timing key when DOM acquisition is complete, you can perfectly synchronize DOM and Mesh updates.updateKey must be a unique value for each update, for example `performance.now() - updateKey: performance.now(), - dom: domArr.current, - boderRadius: [...Array(domArr.current.length)].map((_, i) => i * 50.0), - onIntersect: [...Array(domArr.current.length)].map((_, i) => (entry) => { - if (entry.isIntersecting && !domSyncerObj.isIntersecting(i, true)) { - // some callback - } - }), - }); -}, [state]); - -const [, copyTexture] = useCopyTexture( - { scene: fxTextureObj.scene, camera: fxTextureObj.camera, size, dpr }, - domArr.current.length -); - -useFrame((rootState) => { - const syncedTexture = updateDomSyncer(rootState, { - texture: [...Array(domArr.current.length)].map((_, i) => { - if (domSyncerObj.isIntersecting(i, false)) { - textureRef.current = updateFxTexture(rootState, { - map: someFx, - texture0: someTexture, - }); - return copyTexture(rootState.gl, i); - } - }), - }); -}); -``` - -`domSyncerObj` contains an isIntersecting function that returns the DOM intersection test -The boolean will be updated after executing the `onIntersect` function. - -```tsx -type DomSyncerObject = { - scene: THREE.Scene; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; - /** - * A function that returns a determination whether the DOM intersects or not. - * The boolean will be updated after executing the onIntersect function. - * @param index - Index of the dom for which you want to return an intersection decision. -1 will return the entire array. - * @param once - If set to true, it will continue to return true once crossed. - */ - isIntersecting: IsIntersecting; - /** target's DOMRect[] */ - DOMRects: DOMRect[]; - /** target's intersetions boolean[] */ - intersections: boolean[]; - /** You can set callbacks for when at least one DOM is visible and when it is completely hidden. */ - useDomView: UseDomView; -}; -``` - -`DomSyncerParams` can be passed the `onIntersect` function. - -```tsx -type DomSyncerParams = { - /** DOM array you want to synchronize */ - dom?: (HTMLElement | Element | null)[]; - /** Texture array that you want to synchronize with the DOM rectangle */ - texture?: THREE.Texture[]; - /** default:0.0[] */ - boderRadius?: number[]; - /** the angle you want to rotate */ - rotation?: THREE.Euler[]; - /** Array of callback functions when crossed */ - onIntersect?: ((entry: IntersectionObserverEntry) => void)[]; - /** Because DOM rendering and React updates occur asynchronously, there may be a lag between updating dependent arrays and setting DOM arrays. That's what the Key is for. If the dependent array is updated but the Key is not, the loop will skip and return an empty texture. By updating the timing key when DOM acquisition is complete, you can perfectly synchronize DOM and Mesh updates. */ - updateKey?: Key; -}; -``` - -`updateKey` : Because DOM rendering and React updates occur asynchronously, there may be a lag between updating dependent arrays and setting DOM arrays. That's what the Key is for. If the dependent array is updated but the Key is not, the loop will skip and return an empty texture. By updating the timing key when DOM acquisition is complete, you can perfectly synchronize DOM and Mesh updates. - -## usePointer - -When given the `pointer` vector2 from r3f's `RootState`, it generates an update function that returns {currentPointer, prevPointer, diffPointer, isVelocityUpdate, velocity}. -You can also add `lerp` (0~1, lerp intensity (0 to less than 1) , default: 0) - -```js -const updatePointer = usePointer(lerp); - -const { currentPointer, prevPointer, diffPointer, isVelocityUpdate, velocity } = - updatePointer(pointer); -``` - -You can override the pointer process by passing `pointerValues` to `updateFx` in the `useFrame`. - -```ts -useFrame((rootState) => { - const pointerValues = updatePointer(rootState.pointer); - updateBrush(rootState, { - pointerValues: pointerValues, - }); -}); -``` - -## useBeat - -Time-sensitive hooks such as `useNoise` and `useMarble` accept `beat`. -The second argument can be `easing`. -easing functions are referenced from https://github.com/ai/easings.net , default : "easeOutQuart" - -```ts -const beting = useBeat(bpm, "easeOutQuad"); -useFrame((rootState) => { - const { beat, hash } = beting(rootState.clock); - updateMarble(rootState, { - beat: beat, - }); -}); -``` - -```ts -type BeatValues = { - beat: number; - floor: number; - fract: number; - /** unique hash specific to the beat */ - hash: number; -}; -``` - -## useFPSLimiter - -Allows you to skip FX that do not need to be processed at 60 FPS. - -```ts -const limiter = useFPSLimiter(30); -useFrame((rootState) => { - if (!limiter(rootState.clock)) { - return; - } -}); -``` - -## useCopyTexture - -Generate an FBO array to copy the texture. - -```tsx -const [renderTargets, copyTexture] = useCopyTexture(UseFboProps, length); -copyTexture(gl, index); // return texture -``` - -# 3D - -The `3D` series has a set of exported hooks, each with `Create`, like `useCreateWobble3D`, which can be used as a texture, but also to add `object3D` as a `primitive` to an r3f scene. It is also possible to add `object3D` as a `primitive` to an r3f scene. - -```tsx -const [updateWobble, wobble] = useCreateWobble3D({ - baseMaterial: THREE.MeshPhysicalMaterial, - materialParameters: { - roughness: 0.0, - transmission: 1, - thickness: 1, - }, -}); -useFrame((rootState) => updateWobble(rootState)); -return ( - <mesh> - <Environment preset="warehouse" background /> - <primitive object={wobble.mesh} /> - </mesh> -); -``` - -👉 [wobble3D demo](https://use-shader-fx.vercel.app/useWobble3D) 👈 - -👉 [morphParticles demo](https://use-shader-fx.vercel.app/useMorphParticles) 👈 - -# useBlank / useRawBlank - -By default, it is a blank canvas with nothing drawn on it. You can customise the shaders using `onBeforeInit`. - -Fragment shaders have `uTexture`,`uBackbuffer`,`uTime`,`uPointer` and `uResolution` as default uniforms. -`useRawBlank` is more raw, default uniforms is only `uResolution`. - -```tsx -const [updateBlank, _, { output: blank, material }] = useBlank({ - size, - dpr: viewport.dpr, - onBeforeInit: useCallback((shader: OnBeforeInitParameters) => { - Object.assign(shader.uniforms, { - hoge: { value: 0 }, - }); - shader.fragmentShader = shader.fragmentShader.replace( - "#usf <uniforms>", - "uniform float hoge;" - ); - shader.fragmentShader = shader.fragmentShader.replace( - "#usf <main>", - `usf_FragColor=vec4(vec3(1.,hoge,1.),1.);` - ); - }, []), -}); -useFrame((rootState) => { - updateBlank( - rootState, - {}, - { - hoge: Math.sin(rootState.clock.getElapsedTime()), - } - ); -}); -``` - -※ `usf_FragColor` overrides `gl_FragColor` -※ `usf_Position` overrides `gl_Position` +TODO \* write docs diff --git a/app/_ui/index.module.scss b/app/_components/UI/index.module.scss similarity index 100% rename from app/_ui/index.module.scss rename to app/_components/UI/index.module.scss diff --git a/app/_ui/index.tsx b/app/_components/UI/index.tsx similarity index 84% rename from app/_ui/index.tsx rename to app/_components/UI/index.tsx index 551f42c7..cd8a8e05 100644 --- a/app/_ui/index.tsx +++ b/app/_components/UI/index.tsx @@ -44,7 +44,7 @@ export const UI = () => { href="/FunTechInc/use-shader-fx" target={"_blank"}> <Image - src="github-logo.svg" + src="/github-logo.svg" alt="GitHub" width={98} height={96} @@ -53,7 +53,13 @@ export const UI = () => { </li> <li> <a href="https://twitter.com/tkm_hmng8" target={"_blank"}> - <Image src="x-logo.svg" alt="X" width={1200} height={1227} /> + <Image + src="/x-logo.svg" + alt="X" + width={1200} + height={1227} + priority + /> </a> </li> </ul> diff --git a/app/_components/WebGL/TextureRenderer.tsx b/app/_components/WebGL/TextureRenderer.tsx new file mode 100644 index 00000000..147bf114 --- /dev/null +++ b/app/_components/WebGL/TextureRenderer.tsx @@ -0,0 +1,28 @@ +import * as THREE from "three"; + +export const TextureRenderer = ({ src }: { src: THREE.Texture }) => { + return ( + <mesh> + <planeGeometry args={[2, 2]} /> + <shaderMaterial + uniforms={{ + src: { value: src }, + }} + vertexShader={` + varying vec2 vUv; + void main() { + vUv = uv; + gl_Position = vec4(position, 1.0); + } + `} + fragmentShader={` + uniform sampler2D src; + varying vec2 vUv; + void main() { + gl_FragColor = texture2D(src, vUv); + } + `} + /> + </mesh> + ); +}; diff --git a/app/ShaderFx.tsx b/app/_components/WebGL/WebGLCanvas.tsx similarity index 89% rename from app/ShaderFx.tsx rename to app/_components/WebGL/WebGLCanvas.tsx index 5b8fe13a..0a25f66a 100644 --- a/app/ShaderFx.tsx +++ b/app/_components/WebGL/WebGLCanvas.tsx @@ -20,28 +20,31 @@ const Loading = () => { ); }; -export const ShaderFx = ({ +export const WebGLCanvas = ({ children, preserveDrawingBuffer = false, shadows = false, isDprUpdate = true, eventSource, + dpr, }: { children: React.ReactNode; preserveDrawingBuffer?: boolean; shadows?: boolean; isDprUpdate?: boolean; eventSource?: HTMLElement | React.MutableRefObject<HTMLElement> | undefined; + dpr?: number; }) => { - const [dpr, setDpr] = useState(1.5); + const [_dpr, setDpr] = useState(dpr || 1.5); return ( <Suspense fallback={<Loading />}> <Canvas eventSource={eventSource} eventPrefix={eventSource ? "client" : "offset"} - dpr={dpr} + dpr={_dpr} gl={{ preserveDrawingBuffer: preserveDrawingBuffer }} - shadows={shadows}> + shadows={shadows} + linear> <PerformanceMonitor onChange={({ factor }) => { if (preserveDrawingBuffer) { diff --git a/app/_components/WebGL/WebGLContainer.tsx b/app/_components/WebGL/WebGLContainer.tsx new file mode 100644 index 00000000..c5207931 --- /dev/null +++ b/app/_components/WebGL/WebGLContainer.tsx @@ -0,0 +1,19 @@ +export const WebGLContainer = ({ + style, + ...props +}: React.HTMLAttributes<HTMLDivElement>) => { + return ( + <div + style={{ + position: "fixed", + width: "100%", + height: "100%", + inset: 0, + userSelect: "none", + touchAction: "none", + ...style, + }} + {...props} + /> + ); +}; diff --git a/app/_components/WebGL/WebGLTestingContainer.tsx b/app/_components/WebGL/WebGLTestingContainer.tsx new file mode 100644 index 00000000..dc446385 --- /dev/null +++ b/app/_components/WebGL/WebGLTestingContainer.tsx @@ -0,0 +1,23 @@ +import { WebGLContainer } from "./WebGLContainer"; + +export const WebGLTestingContainer = ({ + style, + children, + ...props +}: React.HTMLAttributes<HTMLDivElement>) => { + return ( + <div + style={{ + overflow: "hidden", + backgroundImage: "url(/bg.jpg)", + backgroundSize: "cover", + backgroundPosition: "center", + backgroundRepeat: "repeat", + height: "100svh", + ...style, + }} + {...props}> + <WebGLContainer>{children}</WebGLContainer> + </div> + ); +}; diff --git a/app/_home/Playground.tsx b/app/_home/Playground.tsx index b9e883fd..befee727 100644 --- a/app/_home/Playground.tsx +++ b/app/_home/Playground.tsx @@ -12,10 +12,10 @@ import { HSVParams, MarbleParams, useBlank, -} from "@/packages/use-shader-fx/src"; +} from "@/packages/use-shader-fx/legacy"; import { Environment, OrbitControls } from "@react-three/drei"; -import { OnBeforeInitParameters } from "@/packages/use-shader-fx/src/fxs/types"; +// import { OnBeforeInitParameters } from "@/packages/use-shader-fx/src/fxs/types"; export const CONFIG = { marble: { @@ -102,7 +102,7 @@ export const Playground = ({ height: size.height, }, dpr: viewport.dpr, - onBeforeInit: useCallback((params: OnBeforeInitParameters) => { + onBeforeInit: useCallback((params: any) => { Object.assign(params.uniforms, { u_noise: { value: marble, diff --git a/app/_home/index.tsx b/app/_home/index.tsx index 6d992328..29b9e07f 100644 --- a/app/_home/index.tsx +++ b/app/_home/index.tsx @@ -1,109 +1,113 @@ -"use client"; +// "use client"; -import { ShaderFx } from "../ShaderFx"; -import { Playground } from "./Playground"; -import { useRef, useState } from "react"; -import { EasingTypes } from "@/packages/use-shader-fx/src"; -import Image from "next/image"; -import s from "./index.module.scss"; +// import { ShaderFx } from "../ShaderFx"; +// import { Playground } from "./Playground"; +// import { useRef, useState } from "react"; +// import { EasingTypes } from "@/packages/use-shader-fx/src"; +// import Image from "next/image"; +// import s from "./index.module.scss"; -const Install = () => { - const [copied, setIsCopied] = useState(false); - return ( - <button - onClick={(e) => { - const target = e.target as HTMLButtonElement; - navigator?.clipboard?.writeText(target.innerText).then(() => { - setIsCopied(true); - }); - }} - className={`${s.install} ${copied ? s.copied : ""}`}> - npm install @funtech-inc/use-shader-fx - <Image src="copy.svg" alt="Copy" width={12} height={12} /> - </button> - ); -}; +// const Install = () => { +// const [copied, setIsCopied] = useState(false); +// return ( +// <button +// onClick={(e) => { +// const target = e.target as HTMLButtonElement; +// navigator?.clipboard?.writeText(target.innerText).then(() => { +// setIsCopied(true); +// }); +// }} +// className={`${s.install} ${copied ? s.copied : ""}`}> +// npm install @funtech-inc/use-shader-fx +// <Image src="copy.svg" alt="Copy" width={12} height={12} /> +// </button> +// ); +// }; -export default function Page() { - const wrapper = useRef<HTMLDivElement>( - null - ) as React.MutableRefObject<HTMLDivElement>; - const [bpm, setBpm] = useState(120); - const [easing, setEasing] = useState<EasingTypes>("easeInOutBack"); +// export default function Page() { +// const wrapper = useRef<HTMLDivElement>( +// null +// ) as React.MutableRefObject<HTMLDivElement>; +// const [bpm, setBpm] = useState(120); +// const [easing, setEasing] = useState<EasingTypes>("easeInOutBack"); + +// const easingTypes: EasingTypes[] = [ +// "easeInSine", +// "easeOutSine", +// "easeInOutSine", +// "easeInQuad", +// "easeOutQuad", +// "easeInOutQuad", +// "easeInCubic", +// "easeOutCubic", +// "easeInOutCubic", +// "easeInQuart", +// "easeOutQuart", +// "easeInOutQuart", +// "easeInQuint", +// "easeOutQuint", +// "easeInOutQuint", +// "easeInExpo", +// "easeOutExpo", +// "easeInOutExpo", +// "easeInCirc", +// "easeOutCirc", +// "easeInOutCirc", +// "easeInBack", +// "easeOutBack", +// "easeInOutBack", +// "easeInElastic", +// "easeOutElastic", +// "easeInOutElastic", +// "easeInBounce", +// "easeOutBounce", +// "easeInOutBounce", +// ]; - const easingTypes: EasingTypes[] = [ - "easeInSine", - "easeOutSine", - "easeInOutSine", - "easeInQuad", - "easeOutQuad", - "easeInOutQuad", - "easeInCubic", - "easeOutCubic", - "easeInOutCubic", - "easeInQuart", - "easeOutQuart", - "easeInOutQuart", - "easeInQuint", - "easeOutQuint", - "easeInOutQuint", - "easeInExpo", - "easeOutExpo", - "easeInOutExpo", - "easeInCirc", - "easeOutCirc", - "easeInOutCirc", - "easeInBack", - "easeOutBack", - "easeInOutBack", - "easeInElastic", - "easeOutElastic", - "easeInOutElastic", - "easeInBounce", - "easeOutBounce", - "easeInOutBounce", - ]; +// return ( +// <> +// <div className={s.canvas}> +// <ShaderFx eventSource={wrapper} isDprUpdate={false}> +// <Playground bpm={bpm} easing={easing} /> +// </ShaderFx> +// </div> +// <div ref={wrapper} className={s.wrapper}> +// <div className={s.container}> +// <h1 className={s.title}>⚡️ More FXs, Less GLSL</h1> +// <Install /> +// <div className={s.input}> +// <p>BPM:</p> +// <input +// type="number" +// value={bpm} +// onChange={(e) => { +// setBpm(+e.target.value); +// }} +// /> +// </div> +// <div className={s.input}> +// <p>Easing:</p> +// <select +// value={easing} +// onChange={(e) => { +// setEasing(e.target.value as EasingTypes); +// }}> +// {easingTypes.map((type) => ( +// <option +// style={{ color: "black" }} +// key={type} +// value={type}> +// {type} +// </option> +// ))} +// </select> +// </div> +// </div> +// </div> +// </> +// ); +// } - return ( - <> - <div className={s.canvas}> - <ShaderFx eventSource={wrapper} isDprUpdate={false}> - <Playground bpm={bpm} easing={easing} /> - </ShaderFx> - </div> - <div ref={wrapper} className={s.wrapper}> - <div className={s.container}> - <h1 className={s.title}>⚡️ More FXs, Less GLSL</h1> - <Install /> - <div className={s.input}> - <p>BPM:</p> - <input - type="number" - value={bpm} - onChange={(e) => { - setBpm(+e.target.value); - }} - /> - </div> - <div className={s.input}> - <p>Easing:</p> - <select - value={easing} - onChange={(e) => { - setEasing(e.target.value as EasingTypes); - }}> - {easingTypes.map((type) => ( - <option - style={{ color: "black" }} - key={type} - value={type}> - {type} - </option> - ))} - </select> - </div> - </div> - </div> - </> - ); +export default function Page() { + return null; } diff --git a/app/cream/FxMaterial.tsx b/app/cream/FxMaterial.tsx deleted file mode 100644 index 8f28d08b..00000000 --- a/app/cream/FxMaterial.tsx +++ /dev/null @@ -1,41 +0,0 @@ -import * as THREE from "three"; -import { shaderMaterial } from "@react-three/drei"; - -declare global { - namespace JSX { - interface IntrinsicElements { - fxMaterial: any; - } - } -} - -export type FxMaterialProps = { - u_fx: THREE.Texture; -}; - -export const FxMaterial = shaderMaterial( - { - u_fx: new THREE.Texture(), - }, - - ` - varying vec2 vUv; - void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); - } - `, - ` - precision highp float; - varying vec2 vUv; - uniform sampler2D u_fx; - - void main() { - vec2 uv = vUv; - vec4 color = texture2D(u_fx, uv); - gl_FragColor = color; - // gl_FragColor.rgb = color.rgb; - // gl_FragColor.a = color.r + color.g + color.b; - } - ` -); diff --git a/app/cream/Playground.tsx b/app/cream/Playground.tsx deleted file mode 100644 index cc5c4aab..00000000 --- a/app/cream/Playground.tsx +++ /dev/null @@ -1,40 +0,0 @@ -"use client"; - -import * as THREE from "three"; -import { useEffect, useMemo, useRef, useState } from "react"; -import { useFrame, useThree, extend, useLoader } from "@react-three/fiber"; -import { useFluid } from "@/packages/use-shader-fx/src"; -import { FxMaterial } from "./FxMaterial"; - -extend({ FxMaterial }); - -export const Playground = () => { - const { size } = useThree(); - const [updateFluid, setFluid, { output: fluid }] = useFluid({ - size, - dpr: { - shader: 0.2, - fbo: 0.8, - }, - }); - - setFluid({ - densityDissipation: 0.99, - velocityDissipation: 0.99, - splatRadius: 0.001, - pressureIterations: 1, - }); - - useFrame((state) => { - updateFluid(state); - }); - - return ( - <> - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial u_fx={fluid} key={FxMaterial.key} /> - </mesh> - </> - ); -}; diff --git a/app/cream/page.tsx b/app/cream/page.tsx deleted file mode 100644 index 4afc0060..00000000 --- a/app/cream/page.tsx +++ /dev/null @@ -1,18 +0,0 @@ -import { ShaderFx } from "../ShaderFx"; -import { Playground } from "./Playground"; - -export default function Page() { - return ( - <div - style={{ - position: "fixed", - width: "100%", - height: "100svh", - pointerEvents: "none", - }}> - <ShaderFx> - <Playground /> - </ShaderFx> - </div> - ); -} diff --git a/app/domSyncer/DomSyncer.tsx b/app/domSyncer/DomSyncer.tsx deleted file mode 100644 index 23516103..00000000 --- a/app/domSyncer/DomSyncer.tsx +++ /dev/null @@ -1,166 +0,0 @@ -import * as THREE from "three"; -import { useEffect, useLayoutEffect, useRef } from "react"; -import { useFrame, extend, useThree, useLoader } from "@react-three/fiber"; -import { FxMaterial, FxMaterialProps } from "@/utils/fxMaterial"; -import { - useDomSyncer, - useWave, - useFxTexture, - useCopyTexture, -} from "@/packages/use-shader-fx/src"; -import { WaveParams } from "@/packages/use-shader-fx/src/fxs/effects/useWave"; -import gsap from "gsap"; - -extend({ FxMaterial }); - -const CONFIG: { - textureResolution: THREE.Vector2; - waveArr: WaveParams[]; - waveConfig: WaveParams; -} = { - textureResolution: new THREE.Vector2(1440, 1029), - waveArr: [], - waveConfig: { - epicenter: new THREE.Vector2(0.0, 0.0), - progress: 0.0, - strength: 0.2, - }, -}; - -export const DomSyncer = ({ state }: { state: number }) => { - useEffect(() => { - document.documentElement.style.overflow = "auto"; - }); - - const mainShaderRef = useRef<FxMaterialProps>(); - const textureRef = useRef(new THREE.Texture()); - - const [momo] = useLoader(THREE.TextureLoader, ["momo.jpg"]); - - const { size, dpr } = useThree((state) => { - return { size: state.size, dpr: state.viewport.dpr }; - }); - - const [updateFxTexture, , fxTextureObj] = useFxTexture({ size, dpr }); - const [updateWave] = useWave({ size, dpr }); - - const [updateDomSyncer, setDomSyncer, domSyncerObj] = useDomSyncer( - { size, dpr }, - [state] - ); - - const { setFrameloop } = useThree(); - domSyncerObj.useDomView({ - onView: () => { - console.log("play"); - setFrameloop("always"); - }, - onHidden: () => { - console.log("stop"); - setFrameloop("never"); - }, - }); - - const domArr = useRef<(HTMLElement | Element)[]>([]); - const contentArr = useRef<HTMLElement[]>([]); - - useLayoutEffect(() => { - CONFIG.waveArr = []; - - if (state === 0) { - domArr.current = [...document.querySelectorAll(".item")!]; - contentArr.current = Array.from( - document.querySelectorAll<HTMLElement>(".content") - ); - } else { - domArr.current = [...document.querySelectorAll(".item2")!]; - contentArr.current = Array.from( - document.querySelectorAll<HTMLElement>(".content2") - ); - } - CONFIG.waveArr = [...Array(domArr.current.length)].map(() => ({ - ...CONFIG.waveConfig, - })); - - setDomSyncer({ - dom: domArr.current, - updateKey: performance.now(), - boderRadius: [...Array(domArr.current.length)].map((_, i) => i * 50.0), - rotation: [...Array(domArr.current.length)].map( - (_, i) => new THREE.Euler(0.0, 0.0, i * 0.1) - ), - onIntersect: [...Array(domArr.current.length)].map( - (_, i) => (entry) => { - if ( - entry.isIntersecting && - !domSyncerObj.isIntersecting(i, false) - ) { - gsap.fromTo( - CONFIG.waveArr[i], - { - progress: 0.0, - }, - { - progress: 1.0, - duration: 10.0, - } - ); - } - } - ), - }); - // eslint-disable-next-line react-hooks/exhaustive-deps - }, [state]); - - const [, copyTexture] = useCopyTexture( - { scene: fxTextureObj.scene, camera: fxTextureObj.camera, size, dpr }, - domArr.current.length - ); - - useFrame((state) => { - const syncedTexture = updateDomSyncer(state, { - texture: [...Array(domArr.current.length)].map((_, i) => { - if (domSyncerObj.isIntersecting(i, false)) { - updateFxTexture(state, { - padding: 0.0, - map: updateWave(state, { - epicenter: CONFIG.waveArr[i].epicenter, - progress: CONFIG.waveArr[i].progress, - strength: CONFIG.waveArr[i].strength, - }), - mapIntensity: 0.4, - edgeIntensity: 0.0, - texture0: momo, - }); - - return copyTexture(state.gl, i); - } - return textureRef.current; - }), - }); - - contentArr.current.forEach((content, i) => { - if ( - domSyncerObj.DOMRects[i] && - domSyncerObj.isIntersecting(i, false) - ) { - content.style.opacity = "1.0"; - content.style.top = `${domSyncerObj.DOMRects[i].top}px`; - content.style.left = `${domSyncerObj.DOMRects[i].left}px`; - } - }); - - const main = mainShaderRef.current; - if (main) { - main.u_fx = syncedTexture; - main.u_alpha = 0.0; - } - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} ref={mainShaderRef} /> - </mesh> - ); -}; diff --git a/app/domSyncer/page.tsx b/app/domSyncer/page.tsx deleted file mode 100644 index 53e48e79..00000000 --- a/app/domSyncer/page.tsx +++ /dev/null @@ -1,103 +0,0 @@ -"use client"; - -import { useState } from "react"; -import { ShaderFx } from "../ShaderFx"; -import { DomSyncer } from "./DomSyncer"; - -export default function Page() { - const [domSwitch, setDomSwitch] = useState(0); - return ( - <> - <div - style={{ - position: "fixed", - top: 0, - width: "100%", - height: "100vh", - }}> - <ShaderFx> - <DomSyncer state={domSwitch} /> - </ShaderFx> - </div> - <button - onClick={() => { - setDomSwitch((prev) => (prev === 0 ? 1 : 0)); - }} - style={{ - width: "200px", - height: "200px", - backgroundColor: "red", - position: "fixed", - bottom: 0, - right: 0, - zIndex: 1000, - cursor: "pointer", - }}> - stateの切り替え - </button> - <div - style={{ - display: "flex", - flexWrap: "wrap", - justifyContent: "center", - gap: "40px", - padding: "16px", - pointerEvents: "none", - }}> - {domSwitch === 0 ? ( - <> - {[...Array(4)].map((_, i) => ( - <div key={i} style={{ width: "calc(50% - 40px)" }}> - <div - className="item" - style={{ - height: "120vh", - zIndex: 100, - borderRadius: `${i * 50}px`, - }}></div> - <div - className="content" - style={{ - marginTop: "40px", - position: "fixed", - top: 0, - left: 0, - opacity: 0, - }}> - <h1 style={{ fontSize: "40px" }}>title</h1> - <p style={{ fontSize: "26px" }}>text</p> - </div> - </div> - ))} - </> - ) : ( - <> - {[...Array(2)].map((_, i) => ( - <div key={i} style={{ width: "100%" }}> - <div - className="item2" - style={{ - height: "80vh", - zIndex: 100, - }}></div> - <div - className="content2" - style={{ - marginTop: "40px", - position: "fixed", - top: 0, - left: 0, - opacity: 0, - }}> - <h1 style={{ fontSize: "20px" }}>title</h1> - <p style={{ fontSize: "16px" }}>text</p> - </div> - </div> - ))} - </> - )} - </div> - <div style={{ height: "200vh" }}></div> - </> - ); -} diff --git a/app/examples/useFluid/Playground.tsx b/app/examples/useFluid/Playground.tsx new file mode 100644 index 00000000..a229d5b0 --- /dev/null +++ b/app/examples/useFluid/Playground.tsx @@ -0,0 +1,84 @@ +"use client"; + +import * as THREE from "three"; +import { useFrame, useThree } from "@react-three/fiber"; +import { + useBuffer, + useFluid, + useGrid, + useWindowPointer, +} from "@/packages/use-shader-fx/src"; +import { TextureRenderer } from "../../_components/WebGL/TextureRenderer"; +import { useTexture } from "@react-three/drei"; + +export const Playground = () => { + const { size } = useThree(); + + const [sprite] = useTexture(["/sprite.png"]); + + const fluid = useFluid({ + size, + dpr: 0.2, + radius: new THREE.Vector2(50, 50), + }); + + const grid = useGrid({ + size, + dpr: 1.5, + count: new THREE.Vector2(70, 70), + texture: { + src: fluid.texture, + }, + sprite: { + src: sprite, + length: 10, + shuffleSpeed: 0.2, + }, + }); + + const buffer = useBuffer({ + size, + dpr: 1.5, + texture: { + src: grid.texture, + }, + mixSrc: { + src: fluid.texture, + uv: { + factor: 0.01, + mixMap: { + src: fluid.texture, + }, + }, + }, + colorBalance: true, + hsv: true, + posterize: false, + }); + + const windowPointer = useWindowPointer(size); + + useFrame((state) => { + const loop = Math.sin(state.clock.getElapsedTime()) * 0.5 + 0.5; + grid.render(state); + fluid.render({ + ...state, + pointer: windowPointer, + }); + buffer.render(state, { + hsv: { + hueShift: loop, + saturation: 1 + loop * 4, + brightness: 1 + loop, + }, + colorBalance: { + factor: (val) => val.set(1 + loop, loop, 1 - loop), + }, + posterize: { + levels: (val) => val.set(3 + loop, 2 + loop, 1 + loop, 10 * loop), + }, + }); + }); + + return <TextureRenderer src={buffer.texture} />; +}; diff --git a/app/examples/useFluid/page.tsx b/app/examples/useFluid/page.tsx new file mode 100644 index 00000000..5ba79e95 --- /dev/null +++ b/app/examples/useFluid/page.tsx @@ -0,0 +1,22 @@ +import { WebGLCanvas } from "../../_components/WebGL/WebGLCanvas"; +import { Playground } from "./Playground"; +import { WebGLContainer } from "@/app/_components/WebGL/WebGLContainer"; + +export default function Page() { + return ( + <div> + <div + style={{ + fontSize: "60rem", + height: "500svh", + }}> + smooth touch interaction on mobile + </div> + <WebGLContainer style={{ pointerEvents: "none", zIndex: -100000 }}> + <WebGLCanvas dpr={1} isDprUpdate={false}> + <Playground /> + </WebGLCanvas> + </WebGLContainer> + </div> + ); +} diff --git a/app/expo2025/FxMaterial.tsx b/app/expo2025/FxMaterial.tsx deleted file mode 100644 index d1a9c743..00000000 --- a/app/expo2025/FxMaterial.tsx +++ /dev/null @@ -1,38 +0,0 @@ -import * as THREE from "three"; -import { shaderMaterial } from "@react-three/drei"; - -declare global { - namespace JSX { - interface IntrinsicElements { - fxMaterial: any; - } - } -} - -export type FxMaterialProps = { - u_fx: THREE.Texture; -}; - -export const FxMaterial = shaderMaterial( - { - u_fx: new THREE.Texture(), - }, - - ` - varying vec2 vUv; - void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); - } - `, - ` - precision highp float; - varying vec2 vUv; - uniform sampler2D u_fx; - - void main() { - gl_FragColor = texture2D(u_fx,vUv); - // gl_FragColor = vec4(1.,1.,0.,1.); - } - ` -); diff --git a/app/expo2025/Playground.tsx b/app/expo2025/Playground.tsx deleted file mode 100644 index b035a57b..00000000 --- a/app/expo2025/Playground.tsx +++ /dev/null @@ -1,179 +0,0 @@ -"use client"; - -import * as THREE from "three"; -import { useMemo, useRef } from "react"; -import { useFrame, useThree, extend, MeshProps } from "@react-three/fiber"; -import { - useCreateWobble3D, - Wobble3DParams, - WOBBLE3D_PARAMS, -} from "@/packages/use-shader-fx/src"; -import { FxMaterial } from "./FxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "@/utils/useGUI"; -import { Environment, Lightformer } from "@react-three/drei"; - -extend({ FxMaterial }); - -const CONFIG: Wobble3DParams = { - ...structuredClone(WOBBLE3D_PARAMS), - wobbleStrength: 0.16, - wobbleTimeFrequency: 0.2, - warpStrength: 0.0, - colorMix: 0, -}; - -const setGUI = (gui: GUI) => { - gui.addColor(CONFIG, "color0"); - gui.addColor(CONFIG, "color1"); - gui.addColor(CONFIG, "color2"); - gui.addColor(CONFIG, "color3"); - gui.add(CONFIG, "wobbleStrength", 0, 2, 0.01); - gui.add(CONFIG, "colorMix", 0, 1, 0.01); - return gui; -}; -const setConfig = () => { - return { - ...CONFIG, - } as Wobble3DParams; -}; - -const MyakuMyaku = (props: MeshProps) => { - const [updateWobble, wobble] = useCreateWobble3D({ - baseMaterial: THREE.MeshStandardMaterial, - materialParameters: useMemo( - () => ({ - color: new THREE.Color(0xd53220), - metalness: 0.16, - roughness: 0.16, - }), - [] - ), - onBeforeInit: (params) => { - Object.assign(params.uniforms, { - uEyeColor: { value: new THREE.Color(0x2469b3) }, - uEyeMoving: { value: new THREE.Vector2(0, 0) }, - }); - params.fragmentShader = params.fragmentShader.replace( - "uniform float uRefractionSamples;", - ` - uniform float uRefractionSamples; - uniform vec2 uEyeMoving; - uniform vec3 uEyeColor; - ` - ); - params.fragmentShader = params.fragmentShader.replace( - "#include <alphamap_fragment>", - ` - float whiteDist = distance(uEyeMoving * 0.4,vPosition); - float blackDist = distance(uEyeMoving * 0.8,vPosition); - if (whiteDist < .8) { - diffuseColor = vec4(vec3(1.), 1.0); - } - if (blackDist < .34) { - diffuseColor = vec4(uEyeColor, 1.0); - } - #include <alphamap_fragment> - ` - ); - }, - }); - const pointerVector = useRef(new THREE.Vector2(0, 0)); - const randomness = useMemo(() => Math.random() + 1, []); - useFrame((rootState) => { - updateWobble( - rootState, - { - ...setConfig(), - wobbleStrength: CONFIG.wobbleStrength! * randomness, - wobbleTimeFrequency: CONFIG.wobbleTimeFrequency! * randomness, - }, - { - uEyeMoving: pointerVector.current.lerp(rootState.pointer, 0.24), - } - ); - }); - return ( - <mesh {...props}> - <primitive object={wobble.mesh} /> - </mesh> - ); -}; - -export const Playground = () => { - const updateGUI = useGUI(setGUI); - - const { camera } = useThree(); - - const cameraVec = useRef(new THREE.Vector3(0, 0, 0)); - useFrame((props) => { - camera.position.lerp( - cameraVec.current.set(props.pointer.y * 3, props.pointer.x * 3, 12), - 0.1 - ); - camera.lookAt(0, 0, 0); - - updateGUI(); - }); - - return ( - <mesh> - <ambientLight intensity={0.4} /> - <spotLight - position={[10, 10, 10]} - angle={0.15} - penumbra={1} - intensity={1} - castShadow - /> - <Environment resolution={256}> - <group rotation={[-Math.PI / 3, 0, 1]}> - <Lightformer - form="circle" - intensity={3} - rotation-x={Math.PI / 2} - position={[0, 5, -9]} - scale={2} - /> - <Lightformer - form="circle" - intensity={1} - rotation-y={Math.PI / 2} - position={[-5, 1, -1]} - scale={2} - /> - <Lightformer - form="circle" - intensity={1} - rotation-y={Math.PI / 2} - position={[-5, -1, -1]} - scale={2} - /> - <Lightformer - form="circle" - intensity={1} - rotation-y={-Math.PI / 2} - position={[10, 1, 0]} - scale={4} - /> - </group> - </Environment> - <MyakuMyaku position={[-6, 0, 0]} scale={[1, 1, 1]} /> - <MyakuMyaku - position={[-4, 3.5, 0]} - rotation={[0, 0, -1]} - scale={[1, 1.2, 1]} - /> - <MyakuMyaku position={[6, 0, 0]} scale={[1.5, 1.5, 1.5]} /> - <MyakuMyaku position={[4, 4, 0]} scale={[1, 1, 1]} /> - <MyakuMyaku position={[-4, -4, 0]} scale={[1.3, 1.6, 1.6]} /> - <MyakuMyaku position={[0, 5, 0]} scale={[1.2, 1.4, 1.2]} /> - <MyakuMyaku position={[0, -5, 0]} scale={[1, 0.8, 1.8]} /> - <MyakuMyaku - position={[4, -4, 0]} - rotation={[0, 0, 1]} - scale={[1.2, 1.4, 1.2]} - /> - </mesh> - ); -}; diff --git a/app/expo2025/page.tsx b/app/expo2025/page.tsx deleted file mode 100644 index a84dd222..00000000 --- a/app/expo2025/page.tsx +++ /dev/null @@ -1,18 +0,0 @@ -import { ShaderFx } from "../ShaderFx"; -import { Playground } from "./Playground"; - -export default function Page() { - return ( - <div - style={{ - position: "fixed", - width: "100%", - height: "100svh", - pointerEvents: "none", - }}> - <ShaderFx isDprUpdate={false}> - <Playground /> - </ShaderFx> - </div> - ); -} diff --git a/app/gradation/FxMaterial.tsx b/app/gradation/FxMaterial.tsx deleted file mode 100644 index 98a03717..00000000 --- a/app/gradation/FxMaterial.tsx +++ /dev/null @@ -1,34 +0,0 @@ -import * as THREE from "three"; -import { shaderMaterial } from "@react-three/drei"; -import fragment from "./main.frag"; - -declare global { - namespace JSX { - interface IntrinsicElements { - fxMaterial: any; - } - } -} - -export type FxMaterialProps = { - u_noise: THREE.Texture; - u_colorStrata: THREE.Texture; - u_noiseIntensity: number; -}; - -export const FxMaterial = shaderMaterial( - { - u_noise: new THREE.Texture(), - u_colorStrata: new THREE.Texture(), - u_noiseIntensity: 1, - }, - - ` - varying vec2 vUv; - void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); - } - `, - fragment -); diff --git a/app/gradation/Playground.tsx b/app/gradation/Playground.tsx deleted file mode 100644 index 35fa8afe..00000000 --- a/app/gradation/Playground.tsx +++ /dev/null @@ -1,100 +0,0 @@ -"use client"; - -import * as THREE from "three"; -import { useMemo, useRef } from "react"; -import { useFrame, useThree, extend } from "@react-three/fiber"; -import { - useColorStrata, - useMarble, - useHSV, - ColorStrataParams, - HSVParams, - MarbleParams, -} from "@/packages/use-shader-fx/src"; -import { FxMaterial, FxMaterialProps } from "./FxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "@/utils/useGUI"; -import { CONFIG as HomeConfig } from "../_home/Playground"; -import { useDownloadCanvas } from "@/utils/useDownloadCanvas"; - -extend({ FxMaterial }); - -const CONFIG = { - ...HomeConfig, - save: () => {}, -}; -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "random").name("Randomize"); - gui.add(CONFIG, "save").name("Save"); -}; - -const setConfig = (key: "marble" | "colorStrata" | "hsv") => { - return { - ...CONFIG[key], - }; -}; - -export const Playground = () => { - const ref = useRef<FxMaterialProps>(); - - const saveImage = useDownloadCanvas(); - - useMemo(() => { - CONFIG.save = saveImage; - CONFIG.random(); - }, [saveImage]); - useGUI(setGUI); - - const { size, viewport } = useThree(); - - const [updateColorStrata, setColorStrata, { output: colorStrata }] = - useColorStrata({ size, dpr: viewport.dpr }); - const [updateMarble, setMarble, { output: marble }] = useMarble({ - size, - dpr: viewport.dpr, - }); - const [updateHSV, setHSV, { output: hsv }] = useHSV({ - size, - dpr: viewport.dpr, - }); - - setMarble({ - ...setConfig("marble"), - timeStrength: 0, - }); - - setColorStrata({ - ...setConfig("colorStrata"), - timeStrength: new THREE.Vector2(0, 0), - }); - - setHSV({ - ...setConfig("hsv"), - texture: colorStrata, - }); - - useFrame((state) => { - updateColorStrata(state, { - ...(setConfig("colorStrata") as ColorStrataParams), - }); - updateHSV(state, { - ...(setConfig("hsv") as HSVParams), - }); - updateMarble(state, { - ...(setConfig("marble") as MarbleParams), - }); - ref.current!.u_noiseIntensity = CONFIG.noiseIntensity; - }); - - return ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial - key={FxMaterial.key} - u_noise={marble} - u_colorStrata={hsv} - ref={ref} - /> - </mesh> - ); -}; diff --git a/app/gradation/main.frag b/app/gradation/main.frag deleted file mode 100644 index c696b891..00000000 --- a/app/gradation/main.frag +++ /dev/null @@ -1,23 +0,0 @@ -precision highp float; -varying vec2 vUv; -uniform sampler2D u_noise; -uniform float u_noiseIntensity; -uniform sampler2D u_colorStrata; - -float rand(vec2 n) { - return fract(sin(dot(n ,vec2(12.9898,78.233))) * 43758.5453); -} - -void main() { - - vec2 uv = vUv; - float grain = rand(uv) * 0.1; - vec4 noise = texture2D(u_noise, uv); - - uv += grain; - uv += noise.rg * u_noiseIntensity; - vec4 colorStrata = texture2D(u_colorStrata,uv); - - gl_FragColor = colorStrata; - gl_FragColor.a = 1.0; -} \ No newline at end of file diff --git a/app/gradation/page.tsx b/app/gradation/page.tsx deleted file mode 100644 index 0d7658ef..00000000 --- a/app/gradation/page.tsx +++ /dev/null @@ -1,18 +0,0 @@ -import { ShaderFx } from "../ShaderFx"; -import { Playground } from "./Playground"; - -export default function Page() { - return ( - <div - style={{ - position: "fixed", - width: "100%", - height: "100svh", - pointerEvents: "none", - }}> - <ShaderFx preserveDrawingBuffer isDprUpdate={false}> - <Playground /> - </ShaderFx> - </div> - ); -} diff --git a/app/layout.tsx b/app/layout.tsx index bbdb96e1..d72de0e0 100644 --- a/app/layout.tsx +++ b/app/layout.tsx @@ -1,8 +1,12 @@ import "the-new-css-reset/css/reset.css"; -import "./main.css"; +import "@/css/reset.css"; +import "@/css/global.scss"; import type { Metadata } from "next"; import { Oswald } from "next/font/google"; -import { UI } from "./_ui"; +import { UI } from "./_components/UI"; +import { userAgent } from "next/server"; +import { headers } from "next/headers"; +import { StableScroller } from "@funtech-inc/spice"; const oswald = Oswald({ subsets: ["latin"], @@ -14,22 +18,19 @@ const metadata: Metadata = { description: "⚡️ More FXs, Less GLSL", }; -export default function RootLayout({ +export default async function RootLayout({ children, }: { children: React.ReactNode; }) { + const headersList = await headers(); + const { device } = userAgent({ headers: headersList }); return ( - <html - lang="en" - style={{ - overflow: "hidden", - backgroundColor: "#000", - touchAction: "none", - userSelect: "none", - }}> + <html lang="en"> <body className={oswald.className}> - {children} + <StableScroller active={device.type === "mobile"}> + <main>{children}</main> + </StableScroller> <UI /> </body> </html> diff --git a/app/main.css b/app/main.css deleted file mode 100644 index 601fcbc7..00000000 --- a/app/main.css +++ /dev/null @@ -1,3 +0,0 @@ -.lil-gui { - right: 0 !important; -} diff --git a/app/obscurus/FxMaterial.tsx b/app/obscurus/FxMaterial.tsx deleted file mode 100644 index d1a9c743..00000000 --- a/app/obscurus/FxMaterial.tsx +++ /dev/null @@ -1,38 +0,0 @@ -import * as THREE from "three"; -import { shaderMaterial } from "@react-three/drei"; - -declare global { - namespace JSX { - interface IntrinsicElements { - fxMaterial: any; - } - } -} - -export type FxMaterialProps = { - u_fx: THREE.Texture; -}; - -export const FxMaterial = shaderMaterial( - { - u_fx: new THREE.Texture(), - }, - - ` - varying vec2 vUv; - void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); - } - `, - ` - precision highp float; - varying vec2 vUv; - uniform sampler2D u_fx; - - void main() { - gl_FragColor = texture2D(u_fx,vUv); - // gl_FragColor = vec4(1.,1.,0.,1.); - } - ` -); diff --git a/app/obscurus/Playground.tsx b/app/obscurus/Playground.tsx deleted file mode 100644 index ed47aed6..00000000 --- a/app/obscurus/Playground.tsx +++ /dev/null @@ -1,210 +0,0 @@ -"use client"; - -import * as THREE from "three"; -import { useMemo } from "react"; -import { useFrame, useThree, extend, useLoader } from "@react-three/fiber"; -import { - useCreateWobble3D, - Wobble3DParams, - WOBBLE3D_PARAMS, - useCreateMorphParticles, - MorphParticlesParams, - MORPHPARTICLES_PARAMS, -} from "@/packages/use-shader-fx/src"; -import { FxMaterial } from "./FxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "@/utils/useGUI"; -import { OrbitControls, Environment } from "@react-three/drei"; - -extend({ FxMaterial }); - -const WOBBLE_CONFIG: Wobble3DParams = { - ...structuredClone(WOBBLE3D_PARAMS), - color0: new THREE.Color(0x000000), - color1: new THREE.Color(0x000000), - color2: new THREE.Color(0x000000), - color3: new THREE.Color(0x000000), - wobbleStrength: 0.35, - wobbleTimeFrequency: 0.2, - warpStrength: 0.2, - colorMix: 0.3, - chromaticAberration: 0.05, - anisotropicBlur: 0.2, - distortion: 0.3, - distortionScale: 0.5, - temporalDistortion: 0.3, -}; - -const MATERIAL_CONFIG: THREE.MeshPhysicalMaterialParameters = { - iridescence: 0.1, - metalness: 0.0, - roughness: 0.0, - transmission: 2, - thickness: 1.2, - transparent: true, -}; - -const PARTICLE_CONFIG: MorphParticlesParams = { - ...structuredClone(MORPHPARTICLES_PARAMS), - blurAlpha: 0.01, - blurRadius: 0.6, - pointSize: 0.4, - sizeRandomIntensity: 1, - sizeRandomMax: 2.5, - sizeRandomMin: 0.8, - sizeRandomTimeFrequency: 1, - color0: new THREE.Color(0x000000), - color1: new THREE.Color(0x000000), - color2: new THREE.Color(0x000000), - color3: new THREE.Color(0x000000), - wobbleStrength: 0.6, - warpStrength: 3, - wobblePositionFrequency: 0.4, - wobbleTimeFrequency: 0.4, - warpTimeFrequency: 0.2, -}; - -const setGUI = (gui: GUI) => { - const wobble = gui.addFolder("Wobble3D"); - wobble.addColor(WOBBLE_CONFIG, "color0"); - wobble.addColor(WOBBLE_CONFIG, "color1"); - wobble.addColor(WOBBLE_CONFIG, "color2"); - wobble.addColor(WOBBLE_CONFIG, "color3"); - wobble.add(WOBBLE_CONFIG, "wobbleStrength", 0, 10, 0.01); - wobble.add(WOBBLE_CONFIG, "wobblePositionFrequency", 0, 10, 0.01); - wobble.add(WOBBLE_CONFIG, "wobbleTimeFrequency", 0, 10, 0.01); - wobble.add(WOBBLE_CONFIG, "warpStrength", 0, 10, 0.01); - wobble.add(WOBBLE_CONFIG, "warpPositionFrequency", 0, 10, 0.01); - wobble.add(WOBBLE_CONFIG, "warpTimeFrequency", 0, 10, 0.01); - // wobble.add(WOBBLE_CONFIG, "wobbleShine", 0, 5, 0.01); - // wobble.add(WOBBLE_CONFIG, "samples", 0, 10, 1); - wobble.add(WOBBLE_CONFIG, "colorMix", 0, 1, 0.01); - wobble.add(WOBBLE_CONFIG, "chromaticAberration", 0, 10, 0.01); - wobble.add(WOBBLE_CONFIG, "anisotropicBlur", 0, 10, 0.01); - wobble.add(WOBBLE_CONFIG, "distortion", 0, 10, 0.01); - wobble.add(WOBBLE_CONFIG, "distortionScale", 0, 10, 0.01); - wobble.add(WOBBLE_CONFIG, "temporalDistortion", 0, 10, 0.01); - - const mpm = gui.addFolder("MeshPhysicalMaterial"); - mpm.add(MATERIAL_CONFIG, "iridescence", 0, 1, 0.01); - mpm.add(MATERIAL_CONFIG, "metalness", 0, 1, 0.01); - mpm.add(MATERIAL_CONFIG, "roughness", 0, 1, 0.01); - mpm.add(MATERIAL_CONFIG, "transmission", 0, 10, 0.01); - mpm.add(MATERIAL_CONFIG, "thickness", 0, 10, 0.01); - - const particle = gui.addFolder("MorphParticles"); - particle.add(PARTICLE_CONFIG, "blurAlpha", 0, 1, 0.01); - particle.add(PARTICLE_CONFIG, "blurRadius", 0, 2, 0.01); - particle.add(PARTICLE_CONFIG, "pointSize", 0.01, 2, 0.01); - particle.addColor(PARTICLE_CONFIG, "color0"); - particle.addColor(PARTICLE_CONFIG, "color1"); - particle.addColor(PARTICLE_CONFIG, "color2"); - particle.addColor(PARTICLE_CONFIG, "color3"); - particle.add(PARTICLE_CONFIG, "wobbleStrength", 0, 10, 0.01); - particle.add(PARTICLE_CONFIG, "wobblePositionFrequency", 0, 10, 0.01); - particle.add(PARTICLE_CONFIG, "wobbleTimeFrequency", 0, 10, 0.01); - particle.add(PARTICLE_CONFIG, "warpStrength", 0, 10, 0.01); - particle.add(PARTICLE_CONFIG, "warpPositionFrequency", 0, 10, 0.01); - particle.add(PARTICLE_CONFIG, "warpTimeFrequency", 0, 10, 0.01); - particle.add(PARTICLE_CONFIG, "displacementIntensity", 0, 10, 0.01); - particle.add(PARTICLE_CONFIG, "displacementColorIntensity", 0, 40, 0.01); - particle.add(PARTICLE_CONFIG, "sizeRandomIntensity", 0, 10, 0.01); - particle.add(PARTICLE_CONFIG, "sizeRandomTimeFrequency", 0, 3, 0.01); - particle.add(PARTICLE_CONFIG, "sizeRandomMin", 0, 1, 0.01); - particle.add(PARTICLE_CONFIG, "sizeRandomMax", 1, 2, 0.01); - particle.add(PARTICLE_CONFIG, "divergence", -2, 2, 0.1); - return gui; -}; -const setParticleConfig = () => { - return { - ...PARTICLE_CONFIG, - } as MorphParticlesParams; -}; -const setWobbleConfig = () => { - return { - ...WOBBLE_CONFIG, - } as Wobble3DParams; -}; - -export const Playground = () => { - useGUI(setGUI); - const { size, viewport, camera } = useThree(); - const [noise] = useLoader(THREE.TextureLoader, ["/noise.jpg"]); - const [updateWobble, wobble] = useCreateWobble3D({ - geometry: useMemo(() => new THREE.IcosahedronGeometry(2.4, 10), []), - materialParameters: MATERIAL_CONFIG, - isCustomTransmission: true, - }); - const [updateParticle, particles] = useCreateMorphParticles({ - size, - dpr: viewport.dpr, - geometry: useMemo(() => new THREE.IcosahedronGeometry(0.8, 10), []), - }); - useMemo(() => { - particles.points.material.blending = THREE.NormalBlending; - camera.position.z = 8; - }, [particles.points.material, camera]); - useFrame((state) => { - updateWobble(state, { - ...setWobbleConfig(), - }); - const mat = wobble.mesh.material as THREE.MeshPhysicalMaterial; - mat.iridescence = MATERIAL_CONFIG.iridescence!; - mat.metalness = MATERIAL_CONFIG.metalness!; - mat.roughness = MATERIAL_CONFIG.roughness!; - mat.transmission = MATERIAL_CONFIG.transmission!; - mat.thickness = MATERIAL_CONFIG.thickness!; - updateParticle(state, { - ...setParticleConfig(), - alphaMap: noise, - }); - }); - - return ( - <mesh> - <OrbitControls /> - <Environment files={"/snowpark.exr"} background={true} /> - <primitive object={wobble.mesh} /> - <primitive object={particles.points} /> - </mesh> - ); -}; - -/*=============================================== -simple version -===============================================*/ -// export const Playground = () => { -// const { size, viewport, camera } = useThree(); -// const [noise] = useLoader(THREE.TextureLoader, ["/noise.jpg"]); - -// const [updateWobble, wobble] = useCreateWobble3D({ -// baseMaterial: THREE.MeshPhysicalMaterial, -// geometry: useMemo(() => new THREE.IcosahedronGeometry(2.4, 10), []), -// materialParameters: MATERIAL_CONFIG, -// }); -// const [updateParticle, particles] = useCreateMorphParticles({ -// size, -// dpr: viewport.dpr, -// geometry: useMemo(() => new THREE.IcosahedronGeometry(0.8, 10), []), -// }); - -// useEffect(() => { -// particles.points.material.blending = THREE.NormalBlending; -// camera.position.z = 8; -// updateWobble(null, WOBBLE_CONFIG); -// updateParticle(null, { ...PARTICLE_CONFIG, alphaMap: noise }); -// }, [particles.points.material, camera, updateWobble, updateParticle, noise]); -// useFrame((props) => { -// updateWobble(props); -// updateParticle(props); -// }); - -// return ( -// <mesh> -// <OrbitControls /> -// <Environment files={"/snowpark.exr"} background={true} /> -// <primitive object={wobble.mesh} /> -// <primitive object={particles.points} /> -// </mesh> -// ); -// }; diff --git a/app/obscurus/page.tsx b/app/obscurus/page.tsx deleted file mode 100644 index 4afc0060..00000000 --- a/app/obscurus/page.tsx +++ /dev/null @@ -1,18 +0,0 @@ -import { ShaderFx } from "../ShaderFx"; -import { Playground } from "./Playground"; - -export default function Page() { - return ( - <div - style={{ - position: "fixed", - width: "100%", - height: "100svh", - pointerEvents: "none", - }}> - <ShaderFx> - <Playground /> - </ShaderFx> - </div> - ); -} diff --git a/app/playground/FxMaterial.tsx b/app/playground/FxMaterial.tsx deleted file mode 100644 index b87eac16..00000000 --- a/app/playground/FxMaterial.tsx +++ /dev/null @@ -1,38 +0,0 @@ -import * as THREE from "three"; -import { shaderMaterial } from "@react-three/drei"; - -declare global { - namespace JSX { - interface IntrinsicElements { - fxMaterial: any; - } - } -} - -export type FxMaterialProps = { - u_fx: THREE.Texture; -}; - -export const FxMaterial = shaderMaterial( - { - u_fx: new THREE.Texture(), - }, - - ` - varying vec2 vUv; - void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); - } - `, - ` - precision highp float; - varying vec2 vUv; - uniform sampler2D u_fx; - void main() { - vec2 uv = vUv; - vec4 color = texture2D(u_fx, uv); - gl_FragColor = color; - } - ` -); diff --git a/app/playground/Playground.tsx b/app/playground/Playground.tsx deleted file mode 100644 index 99a4c5b6..00000000 --- a/app/playground/Playground.tsx +++ /dev/null @@ -1,80 +0,0 @@ -"use client"; - -import * as THREE from "three"; -import { useCallback, useEffect, useMemo, useRef, useState } from "react"; -import { - useFrame, - useThree, - extend, - useLoader, - createPortal, -} from "@react-three/fiber"; -import { useRawBlank } from "@/packages/use-shader-fx/src"; -import { FxMaterial } from "./FxMaterial"; -import { OrbitControls, useVideoTexture } from "@react-three/drei"; - -extend({ FxMaterial }); - -export const Playground = () => { - const { size, viewport, camera } = useThree(); - - const [funkun] = useLoader(THREE.TextureLoader, ["/funkun.jpg"]); - - const [update, set, { output }] = useRawBlank({ - size, - dpr: 2, - onBeforeInit: (param) => { - Object.assign(param.uniforms, { - uTexture: { value: funkun }, - uTime: { value: 0 }, - }); - param.fragmentShader = param.fragmentShader.replace( - "#usf <uniforms>", - ` - uniform sampler2D uTexture; - uniform float uTime; - ` - ); - param.fragmentShader = param.fragmentShader.replace( - "#usf <main>", - ` - vec2 uv = vUv; - vec2 perDivSize = vec2(20.) / uResolution; - vec4 outColor = vec4( - texture2D(uTexture, uv + perDivSize * vec2(-1.0, -1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(0.0, -1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(1.0, -1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(-1.0, 0.0)) + - texture2D(uTexture, uv + perDivSize * vec2(0.0, 0.0)) + - texture2D(uTexture, uv + perDivSize * vec2(1.0, 0.0)) + - texture2D(uTexture, uv + perDivSize * vec2(-1.0, 1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(0.0, 1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(1.0, 1.0)) - ) / 9.0; - usf_FragColor = outColor; - usf_FragColor.r += sin(uTime); - ` - ); - }, - }); - - useFrame((state) => { - update( - state, - { hofsehfgose: 2 }, - { - uTime: state.clock.getElapsedTime(), - } - ); - }); - - return ( - <> - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial u_fx={output} key={FxMaterial.key} /> - </mesh> - </> - ); -}; -// diff --git a/app/playground/page.tsx b/app/playground/page.tsx deleted file mode 100644 index a84dd222..00000000 --- a/app/playground/page.tsx +++ /dev/null @@ -1,18 +0,0 @@ -import { ShaderFx } from "../ShaderFx"; -import { Playground } from "./Playground"; - -export default function Page() { - return ( - <div - style={{ - position: "fixed", - width: "100%", - height: "100svh", - pointerEvents: "none", - }}> - <ShaderFx isDprUpdate={false}> - <Playground /> - </ShaderFx> - </div> - ); -} diff --git a/app/shoasakawa-0/FxMaterial.tsx b/app/shoasakawa-0/FxMaterial.tsx deleted file mode 100644 index b87eac16..00000000 --- a/app/shoasakawa-0/FxMaterial.tsx +++ /dev/null @@ -1,38 +0,0 @@ -import * as THREE from "three"; -import { shaderMaterial } from "@react-three/drei"; - -declare global { - namespace JSX { - interface IntrinsicElements { - fxMaterial: any; - } - } -} - -export type FxMaterialProps = { - u_fx: THREE.Texture; -}; - -export const FxMaterial = shaderMaterial( - { - u_fx: new THREE.Texture(), - }, - - ` - varying vec2 vUv; - void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); - } - `, - ` - precision highp float; - varying vec2 vUv; - uniform sampler2D u_fx; - void main() { - vec2 uv = vUv; - vec4 color = texture2D(u_fx, uv); - gl_FragColor = color; - } - ` -); diff --git a/app/shoasakawa-0/Playground.tsx b/app/shoasakawa-0/Playground.tsx deleted file mode 100644 index 88565d6d..00000000 --- a/app/shoasakawa-0/Playground.tsx +++ /dev/null @@ -1,182 +0,0 @@ -"use client"; - -import * as THREE from "three"; -import { useCallback, useRef, useState } from "react"; -import { useFrame, useThree, extend, useLoader } from "@react-three/fiber"; -import { useBeat, useBlank } from "@/packages/use-shader-fx/src"; -import { FxMaterial } from "./FxMaterial"; -import { Environment, OrbitControls } from "@react-three/drei"; -import GUI from "lil-gui"; -import { useGUI } from "@/utils/useGUI"; -import { OnBeforeInitParameters } from "@/packages/use-shader-fx/src/fxs/types"; - -extend({ FxMaterial }); - -const CONFIG = { - scale: 0.1, - box: () => {}, -}; - -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "scale", 0.0001, 0.2, 0.0001); - gui.add(CONFIG, "box").name("3D⚡️"); - return gui; -}; - -export const Playground = () => { - const updateGUI = useGUI(setGUI); - const { size, viewport } = useThree(); - const [gear] = useLoader(THREE.TextureLoader, [ - "/shoasakawa/gear/gear.webp", - ]); - const [updateBlank, setBlank, { output: blank }] = useBlank({ - size, - dpr: viewport.dpr, - onBeforeInit: useCallback((params: OnBeforeInitParameters) => { - Object.assign(params.uniforms, { - lerpPointer: { value: new THREE.Vector2(0) }, - tileSize: { value: CONFIG.scale }, - bigRadius: { value: 0.34 }, - smallRadius: { value: 0.12 }, - outerColor0: { value: new THREE.Color("#FF0038") }, - outerColor1: { value: new THREE.Color("#AD00FF") }, - outerColor2: { value: new THREE.Color(0, 0, 0) }, - innerColor0: { value: new THREE.Color("#FFD500") }, - innerColor1: { value: new THREE.Color("#FF0038") }, - innerColor2: { value: new THREE.Color("#008CFF") }, - isBox: { value: false }, - }); - params.fragmentShader = params.fragmentShader.replace( - "#usf <uniforms>", - ` - uniform float tileSize; - uniform float bigRadius; - uniform float smallRadius; - uniform vec3 outerColor0; - uniform vec3 outerColor1; - uniform vec3 outerColor2; - uniform vec3 innerColor0; - uniform vec3 innerColor1; - uniform vec3 innerColor2; - uniform vec2 lerpPointer; - uniform bool isBox; - - float hash(vec2 p) { return fract(1e4 * sin(17.0 * p.x + p.y * 0.1) * (0.1 + abs(sin(p.y * 13.0 + p.x)))); } - - vec4 getCircleColor (float d , float r, vec3 c0,vec3 c1, vec3 c2){ - float dist = d / r; - float nDist = dist*2.-1.; - return vec4(mix(mix(c0, c1, nDist),mix(c1, c2, nDist), dist),1.); - } - ` - ); - params.fragmentShader = params.fragmentShader.replace( - "#usf <main>", - ` - vec2 uv = vUv; - float aspect = uResolution.x / uResolution.y; - uv.x *= isBox ? 1. : aspect; - - float tile = tileSize; - vec2 gridUV = fract(uv / tile); - vec2 gridIndex = floor(uv / tile); - float gridHash = hash(gridIndex); - - float bigDist = distance(gridUV, vec2(.5)); - - if(bigDist>.49){ - discard; - } - - if(bigDist < bigRadius){ - usf_FragColor = getCircleColor(bigDist, bigRadius, outerColor0, outerColor1, outerColor2); - vec2 pointer = lerpPointer*(gridHash+.1); - vec2 offsets[4] = vec2[4]( - vec2(0., -smallRadius*2.2)+pointer*0.2, - vec2(smallRadius*1.6, 0.)+pointer*0.15, - vec2(0., smallRadius*2.2)+pointer*0.1, - vec2(smallRadius*-1.6, 0.)+pointer*0.05 - ); - for (int i = 0; i < 4; i++) { - vec2 smallCenter = vec2(.5)+offsets[i]*.4; - float smallDist = distance(gridUV, smallCenter); - if (smallDist < smallRadius + sin(uTime*(gridHash+.5)+float(i))*.05) { - usf_FragColor = getCircleColor(smallDist, smallRadius, innerColor0, innerColor1, innerColor2); - break; - } - } - }else{ - float angle = uTime*(gridHash+.1)*.2; - float cosAngle = cos(angle); - float sinAngle = sin(angle); - mat2 rotationMatrix = mat2( - cosAngle, -sinAngle, - sinAngle, cosAngle - ); - vec2 texCoord = gridUV-vec2(.5); - texCoord = rotationMatrix * texCoord; - texCoord += vec2(.5); - usf_FragColor = texture2D(uTexture,texCoord); - } - ` - ); - }, []), - }); - - setBlank({ - texture: gear, - }); - - const beater = useBeat(120, "easeInOutQuad"); - const pointerVec = new THREE.Vector2(); - - const [isBox, setIsBox] = useState(false); - - CONFIG.box = () => setIsBox((prev) => !prev); - - const meshRef = useRef<THREE.Mesh>(null); - useFrame((state) => { - const { beat } = beater(state.clock); - updateBlank( - state, - { - beat: beat, - }, - { - tileSize: CONFIG.scale, - lerpPointer: pointerVec.lerp(state.pointer, 0.1), - isBox, - } - ); - if (meshRef.current!) { - meshRef.current!.rotation.x += 0.01; - meshRef.current!.rotation.y += 0.01; - meshRef.current!.rotation.z += 0.01; - } - updateGUI(); - }); - - return ( - <> - {isBox ? ( - <mesh ref={meshRef}> - <ambientLight /> - <directionalLight position={[10, 10, 10]} /> - <Environment preset="warehouse" /> - <boxGeometry args={[3, 3, 3]} /> - <meshStandardMaterial - map={blank} - roughness={0.05} - metalness={0.4} - /> - <OrbitControls /> - </mesh> - ) : ( - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial u_fx={blank} key={FxMaterial.key} /> - </mesh> - )} - </> - ); -}; diff --git a/app/shoasakawa-0/page.tsx b/app/shoasakawa-0/page.tsx deleted file mode 100644 index 25a23700..00000000 --- a/app/shoasakawa-0/page.tsx +++ /dev/null @@ -1,33 +0,0 @@ -import { ShaderFx } from "../ShaderFx"; -import { Playground } from "./Playground"; - -export default function Page() { - return ( - <div - style={{ - position: "fixed", - width: "100%", - height: "100svh", - pointerEvents: "none", - }}> - <ShaderFx isDprUpdate={false}> - <Playground /> - </ShaderFx> - <a - style={{ - position: "fixed", - bottom: "16px", - width: "100%", - textAlign: "center", - color: "white", - pointerEvents: "auto", - fontSize: "14px", - }} - href="https://www.instagram.com/sho__asakawa/" - target={"_blank"}> - art by{" "} - <span style={{ textDecoration: "underline" }}>Sho Asakawa</span> - </a> - </div> - ); -} diff --git a/app/tests/_utils/useBasicFxGUI.ts b/app/tests/_utils/useBasicFxGUI.ts new file mode 100644 index 00000000..83f12830 --- /dev/null +++ b/app/tests/_utils/useBasicFxGUI.ts @@ -0,0 +1,610 @@ +import * as THREE from "three"; +import GUI from "lil-gui"; +import { useGUI } from "@/utils/useGUI"; +import { + BASICFX_VALUES, + BasicFxUniformsUnique, + BasicFxValues, + FitType, +} from "@/packages/use-shader-fx/src"; +import { useCallback } from "react"; + +const BASICFX_CONFIG: BasicFxUniformsUnique = + THREE.UniformsUtils.clone(BASICFX_VALUES); +const FIT_TYPE = ["fill", "cover", "contain"]; + +export const useBasicFxGUI = ( + setValues: (v: BasicFxValues) => void, + textures: { + mixSrc: THREE.Texture; + mixDst: THREE.Texture; + mixMap: THREE.Texture; + } +) => { + const setupGUI = useCallback( + (gui: GUI) => { + /*=============================================== + mixSrc + ===============================================*/ + const mixSrc = gui.addFolder("mixSrc"); + mixSrc + .add(BASICFX_CONFIG.mixSrc, "value") + .name("enabled") + .onChange((v: boolean) => + setValues({ mixSrc: v ? { src: textures.mixSrc } : v }) + ); + mixSrc + .add(BASICFX_CONFIG.mixSrc_fit, "value", FIT_TYPE) + .name("fit") + .onChange((v: string) => + setValues({ mixSrc: { fit: FIT_TYPE.indexOf(v) as FitType } }) + ); + // uv + const mixSrcUV = mixSrc.addFolder("uv"); + mixSrcUV.add(BASICFX_CONFIG.mixSrc_uv, "value").name("enabled"); + mixSrcUV.add(BASICFX_CONFIG.mixSrc_uv_ch, "value", 0, 3, 1).name("ch"); + mixSrcUV + .add(BASICFX_CONFIG.mixSrc_uv_factor, "value", 0, 1, 0.01) + .name("factor"); + const mixSrcUVOffset = mixSrcUV.addFolder("offset"); + mixSrcUVOffset + .add(BASICFX_CONFIG.mixSrc_uv_offset.value, "x", -1, 1, 0.01) + .name("x"); + mixSrcUVOffset + .add(BASICFX_CONFIG.mixSrc_uv_offset.value, "y", -1, 1, 0.01) + .name("y"); + mixSrcUV + .add(BASICFX_CONFIG.mixSrc_uv_radius, "value", 0, 1, 0.01) + .name("radius"); + const mixSrcUVPosition = mixSrcUV.addFolder("position"); + mixSrcUVPosition + .add(BASICFX_CONFIG.mixSrc_uv_position.value, "x", -1, 1, 0.01) + .name("x"); + mixSrcUVPosition + .add(BASICFX_CONFIG.mixSrc_uv_position.value, "y", -1, 1, 0.01) + .name("y"); + const mixSrcUVRange = mixSrcUV.addFolder("range"); + mixSrcUVRange + .add(BASICFX_CONFIG.mixSrc_uv_range.value, "x", 0, 1, 0.01) + .name("x"); + mixSrcUVRange + .add(BASICFX_CONFIG.mixSrc_uv_range.value, "y", 0, 1, 0.01) + .name("y"); + const mixSrcUvMixMap = mixSrcUV.addFolder("mixMap"); + mixSrcUvMixMap + .add(BASICFX_CONFIG.mixSrc_uv_mixMap, "value") + .name("enabled") + .onChange((v: boolean) => + setValues({ + mixSrc: { uv: { mixMap: v ? { src: textures.mixMap } : v } }, + }) + ); + mixSrcUvMixMap + .add(BASICFX_CONFIG.mixSrc_uv_mixMap_ch, "value", 0, 3, 1) + .name("ch"); + + // color + const mixSrcColor = mixSrc.addFolder("color"); + mixSrcColor.add(BASICFX_CONFIG.mixSrc_color, "value").name("enabled"); + mixSrcColor + .add(BASICFX_CONFIG.mixSrc_color_factor, "value", 0, 1, 0.01) + .name("factor"); + mixSrcColor + .add(BASICFX_CONFIG.mixSrc_color_radius, "value", 0, 1, 0.01) + .name("radius"); + const mixSrcColorPosition = mixSrcColor.addFolder("position"); + mixSrcColorPosition + .add(BASICFX_CONFIG.mixSrc_color_position.value, "x", -1, 1, 0.01) + .name("x"); + mixSrcColorPosition + .add(BASICFX_CONFIG.mixSrc_color_position.value, "y", -1, 1, 0.01) + .name("y"); + const mixSrcColorRange = mixSrcColor.addFolder("range"); + mixSrcColorRange + .add(BASICFX_CONFIG.mixSrc_color_range.value, "x", 0, 1, 0.01) + .name("x"); + mixSrcColorRange + .add(BASICFX_CONFIG.mixSrc_color_range.value, "y", 0, 1, 0.01) + .name("y"); + const mixSrcColorMixMap = mixSrcColor.addFolder("mixMap"); + mixSrcColorMixMap + .add(BASICFX_CONFIG.mixSrc_color_mixMap, "value") + .name("enabled") + .onChange((v: boolean) => + setValues({ + mixSrc: { + color: { mixMap: v ? { src: textures.mixMap } : v }, + }, + }) + ); + mixSrcColorMixMap + .add(BASICFX_CONFIG.mixSrc_color_mixMap_ch, "value", 0, 3, 1) + .name("ch"); + + // alpha + const mixSrcAlpha = mixSrc.addFolder("alpha"); + mixSrcAlpha.add(BASICFX_CONFIG.mixSrc_alpha, "value").name("enabled"); + mixSrcAlpha + .add(BASICFX_CONFIG.mixSrc_alpha_factor, "value", 0, 1, 0.01) + .name("factor"); + mixSrcAlpha + .add(BASICFX_CONFIG.mixSrc_alpha_radius, "value", 0, 1, 0.01) + .name("radius"); + const mixSrcAlphaPosition = mixSrcAlpha.addFolder("position"); + mixSrcAlphaPosition + .add(BASICFX_CONFIG.mixSrc_alpha_position.value, "x", -1, 1, 0.01) + .name("x"); + mixSrcAlphaPosition + .add(BASICFX_CONFIG.mixSrc_alpha_position.value, "y", -1, 1, 0.01) + .name("y"); + const mixSrcAlphaRange = mixSrcAlpha.addFolder("range"); + mixSrcAlphaRange + .add(BASICFX_CONFIG.mixSrc_alpha_range.value, "x", 0, 1, 0.01) + .name("x"); + mixSrcAlphaRange + .add(BASICFX_CONFIG.mixSrc_alpha_range.value, "y", 0, 1, 0.01) + .name("y"); + const mixSrcAlphaMixMap = mixSrcAlpha.addFolder("mixMap"); + mixSrcAlphaMixMap + .add(BASICFX_CONFIG.mixSrc_alpha_mixMap, "value") + .name("enabled") + .onChange((v: boolean) => + setValues({ + mixSrc: { + alpha: { mixMap: v ? { src: textures.mixMap } : v }, + }, + }) + ); + mixSrcAlphaMixMap + .add(BASICFX_CONFIG.mixSrc_alpha_mixMap_ch, "value", 0, 3, 1) + .name("ch"); + + /*=============================================== + mixDst + ===============================================*/ + const mixDst = gui.addFolder("mixDst"); + mixDst + .add(BASICFX_CONFIG.mixDst, "value") + .name("enabled") + .onChange((v: boolean) => + setValues({ mixDst: v ? { src: textures.mixDst } : v }) + ); + mixDst + .add(BASICFX_CONFIG.mixDst_fit, "value", FIT_TYPE) + .name("fit") + .onChange((v: string) => + setValues({ mixDst: { fit: FIT_TYPE.indexOf(v) as FitType } }) + ); + + // uv + const mixDstUV = mixDst.addFolder("uv"); + mixDstUV.add(BASICFX_CONFIG.mixDst_uv, "value").name("enabled"); + mixDstUV.add(BASICFX_CONFIG.mixDst_uv_ch, "value", 0, 3, 1).name("ch"); + mixDstUV + .add(BASICFX_CONFIG.mixDst_uv_factor, "value", 0, 1, 0.01) + .name("factor"); + const mixDstUVOffset = mixDstUV.addFolder("offset"); + mixDstUVOffset + .add(BASICFX_CONFIG.mixDst_uv_offset.value, "x", -1, 1, 0.01) + .name("x"); + mixDstUVOffset + .add(BASICFX_CONFIG.mixDst_uv_offset.value, "y", -1, 1, 0.01) + .name("y"); + mixDstUV + .add(BASICFX_CONFIG.mixDst_uv_radius, "value", 0, 1, 0.01) + .name("radius"); + const mixDstUVPosition = mixDstUV.addFolder("position"); + mixDstUVPosition + .add(BASICFX_CONFIG.mixDst_uv_position.value, "x", -1, 1, 0.01) + .name("x"); + mixDstUVPosition + .add(BASICFX_CONFIG.mixDst_uv_position.value, "y", -1, 1, 0.01) + .name("y"); + const mixDstUVRange = mixDstUV.addFolder("range"); + mixDstUVRange + .add(BASICFX_CONFIG.mixDst_uv_range.value, "x", 0, 1, 0.01) + .name("x"); + mixDstUVRange + .add(BASICFX_CONFIG.mixDst_uv_range.value, "y", 0, 1, 0.01) + .name("y"); + const mixDstUvMixMap = mixDstUV.addFolder("mixMap"); + mixDstUvMixMap + .add(BASICFX_CONFIG.mixDst_uv_mixMap, "value") + .name("enabled") + .onChange((v: boolean) => + setValues({ + mixDst: { uv: { mixMap: v ? { src: textures.mixMap } : v } }, + }) + ); + mixDstUvMixMap + .add(BASICFX_CONFIG.mixDst_uv_mixMap_ch, "value", 0, 3, 1) + .name("ch"); + + // color + const mixDstColor = mixDst.addFolder("color"); + mixDstColor.add(BASICFX_CONFIG.mixDst_color, "value").name("enabled"); + mixDstColor + .add(BASICFX_CONFIG.mixDst_color_factor, "value", 0, 1, 0.01) + .name("factor"); + mixDstColor + .add(BASICFX_CONFIG.mixDst_color_radius, "value", 0, 1, 0.01) + .name("radius"); + const mixDstColorPosition = mixDstColor.addFolder("position"); + mixDstColorPosition + .add(BASICFX_CONFIG.mixDst_color_position.value, "x", -1, 1, 0.01) + .name("x"); + mixDstColorPosition + .add(BASICFX_CONFIG.mixDst_color_position.value, "y", -1, 1, 0.01) + .name("y"); + const mixDstColorRange = mixDstColor.addFolder("range"); + mixDstColorRange + .add(BASICFX_CONFIG.mixDst_color_range.value, "x", 0, 1, 0.01) + .name("x"); + mixDstColorRange + .add(BASICFX_CONFIG.mixDst_color_range.value, "y", 0, 1, 0.01) + .name("y"); + const mixDstColorMixMap = mixDstColor.addFolder("mixMap"); + mixDstColorMixMap + .add(BASICFX_CONFIG.mixDst_color_mixMap, "value") + .name("enabled") + .onChange((v: boolean) => + setValues({ + mixDst: { + color: { mixMap: v ? { src: textures.mixMap } : v }, + }, + }) + ); + mixDstColorMixMap + .add(BASICFX_CONFIG.mixDst_color_mixMap_ch, "value", 0, 3, 1) + .name("ch"); + + // alpha + const mixDstAlpha = mixDst.addFolder("alpha"); + mixDstAlpha.add(BASICFX_CONFIG.mixDst_alpha, "value").name("enabled"); + mixDstAlpha + .add(BASICFX_CONFIG.mixDst_alpha_factor, "value", 0, 1, 0.01) + .name("factor"); + mixDstAlpha + .add(BASICFX_CONFIG.mixDst_alpha_radius, "value", 0, 1, 0.01) + .name("radius"); + const mixDstAlphaPosition = mixDstAlpha.addFolder("position"); + mixDstAlphaPosition + .add(BASICFX_CONFIG.mixDst_alpha_position.value, "x", -1, 1, 0.01) + .name("x"); + mixDstAlphaPosition + .add(BASICFX_CONFIG.mixDst_alpha_position.value, "y", -1, 1, 0.01) + .name("y"); + const mixDstAlphaRange = mixDstAlpha.addFolder("range"); + mixDstAlphaRange + .add(BASICFX_CONFIG.mixDst_alpha_range.value, "x", 0, 1, 0.01) + .name("x"); + mixDstAlphaRange + .add(BASICFX_CONFIG.mixDst_alpha_range.value, "y", 0, 1, 0.01) + .name("y"); + const mixDstAlphaMixMap = mixDstAlpha.addFolder("mixMap"); + mixDstAlphaMixMap + .add(BASICFX_CONFIG.mixDst_alpha_mixMap, "value") + .name("enabled") + .onChange((v: boolean) => + setValues({ + mixDst: { + alpha: { mixMap: v ? { src: textures.mixMap } : v }, + }, + }) + ); + mixDstAlphaMixMap + .add(BASICFX_CONFIG.mixDst_alpha_mixMap_ch, "value", 0, 3, 1) + .name("ch"); + + /*=============================================== + levels + ===============================================*/ + const levels = gui.addFolder("levels"); + levels + .add(BASICFX_CONFIG.levels, "value") + .name("enabled") + .onChange((v: boolean) => setValues({ levels: v })); + const shadows = levels.addFolder("shadows"); + shadows + .add(BASICFX_CONFIG.levels_shadows.value, "x", -1, 1, 0.01) + .name("shadows r"); + shadows + .add(BASICFX_CONFIG.levels_shadows.value, "y", -1, 1, 0.01) + .name("shadows g"); + shadows + .add(BASICFX_CONFIG.levels_shadows.value, "z", -1, 1, 0.01) + .name("shadows b"); + shadows + .add(BASICFX_CONFIG.levels_shadows.value, "w", -1, 1, 0.01) + .name("shadows a"); + const midtones = levels.addFolder("midtones"); + midtones + .add(BASICFX_CONFIG.levels_midtones.value, "x", -2, 2, 0.01) + .name("midtones r"); + midtones + .add(BASICFX_CONFIG.levels_midtones.value, "y", -2, 2, 0.01) + .name("midtones g"); + midtones + .add(BASICFX_CONFIG.levels_midtones.value, "z", -2, 2, 0.01) + .name("midtones b"); + midtones + .add(BASICFX_CONFIG.levels_midtones.value, "w", -2, 2, 0.01) + .name("midtones a"); + const highlights = levels.addFolder("highlights"); + highlights + .add(BASICFX_CONFIG.levels_highlights.value, "x", -2, 2, 0.01) + .name("highlights r"); + highlights + .add(BASICFX_CONFIG.levels_highlights.value, "y", -2, 2, 0.01) + .name("highlights g"); + highlights + .add(BASICFX_CONFIG.levels_highlights.value, "z", -2, 2, 0.01) + .name("highlights b"); + highlights + .add(BASICFX_CONFIG.levels_highlights.value, "w", -2, 2, 0.01) + .name("highlights a"); + const outputMin = levels.addFolder("outputMin"); + outputMin + .add(BASICFX_CONFIG.levels_outputMin.value, "x", 0, 1, 0.01) + .name("outputMin r"); + outputMin + .add(BASICFX_CONFIG.levels_outputMin.value, "y", 0, 1, 0.01) + .name("outputMin g"); + outputMin + .add(BASICFX_CONFIG.levels_outputMin.value, "z", 0, 1, 0.01) + .name("outputMin b"); + outputMin + .add(BASICFX_CONFIG.levels_outputMin.value, "w", 0, 1, 0.01) + .name("outputMin a"); + const outputMax = levels.addFolder("outputMax"); + outputMax + .add(BASICFX_CONFIG.levels_outputMax.value, "x", 0, 1, 0.01) + .name("outputMax r"); + outputMax + .add(BASICFX_CONFIG.levels_outputMax.value, "y", 0, 1, 0.01) + .name("outputMax g"); + outputMax + .add(BASICFX_CONFIG.levels_outputMax.value, "z", 0, 1, 0.01) + .name("outputMax b"); + outputMax + .add(BASICFX_CONFIG.levels_outputMax.value, "w", 0, 1, 0.01) + .name("outputMax a"); + + /*=============================================== + contrast + ===============================================*/ + const contrast = gui.addFolder("contrast"); + contrast + .add(BASICFX_CONFIG.contrast, "value") + .name("enabled") + .onChange((v: boolean) => setValues({ contrast: v })); + contrast + .add(BASICFX_CONFIG.contrast_factor.value, "x", 0, 2, 0.01) + .name("r"); + contrast + .add(BASICFX_CONFIG.contrast_factor.value, "y", 0, 2, 0.01) + .name("g"); + contrast + .add(BASICFX_CONFIG.contrast_factor.value, "z", 0, 2, 0.01) + .name("b"); + contrast + .add(BASICFX_CONFIG.contrast_factor.value, "w", 0, 20, 0.01) + .name("a"); + + /*=============================================== + color balance + ===============================================*/ + const colorBalance = gui.addFolder("colorBalance"); + colorBalance + .add(BASICFX_CONFIG.colorBalance, "value") + .name("enabled") + .onChange((v: boolean) => setValues({ colorBalance: v })); + colorBalance + .add(BASICFX_CONFIG.colorBalance_factor.value, "x", 0, 2, 0.01) + .name("r"); + colorBalance + .add(BASICFX_CONFIG.colorBalance_factor.value, "y", 0, 2, 0.01) + .name("g"); + colorBalance + .add(BASICFX_CONFIG.colorBalance_factor.value, "z", 0, 2, 0.01) + .name("b"); + + /*=============================================== + hsv + ===============================================*/ + const hsv = gui.addFolder("hsv"); + hsv.add(BASICFX_CONFIG.hsv, "value") + .name("enabled") + .onChange((v: boolean) => setValues({ hsv: v })); + hsv.add(BASICFX_CONFIG.hsv_hueShift, "value", 0, 1, 0.01).name("hue"); + hsv.add(BASICFX_CONFIG.hsv_saturation, "value", 0, 5, 0.01).name( + "saturation" + ); + hsv.add(BASICFX_CONFIG.hsv_brightness, "value", 0, 5, 0.01).name( + "brightness" + ); + + /*=============================================== + posterize + ===============================================*/ + const posterize = gui.addFolder("posterize"); + posterize + .add(BASICFX_CONFIG.posterize, "value") + .name("enabled") + .onChange((v: boolean) => setValues({ posterize: v })); + posterize + .add(BASICFX_CONFIG.posterize_levels.value, "x", 0, 10, 1) + .name("r"); + posterize + .add(BASICFX_CONFIG.posterize_levels.value, "y", 0, 10, 1) + .name("g"); + posterize + .add(BASICFX_CONFIG.posterize_levels.value, "z", 0, 10, 1) + .name("b"); + + /*=============================================== + grayscale + ===============================================*/ + const grayscale = gui.addFolder("grayscale"); + grayscale + .add(BASICFX_CONFIG.grayscale, "value") + .name("enabled") + .onChange((v: boolean) => setValues({ grayscale: v })); + const weight = grayscale.addFolder("weight"); + weight + .add(BASICFX_CONFIG.grayscale_weight.value, "x", 0, 5, 0.01) + .name("r"); + weight + .add(BASICFX_CONFIG.grayscale_weight.value, "y", 0, 5, 0.01) + .name("g"); + weight + .add(BASICFX_CONFIG.grayscale_weight.value, "z", 0, 5, 0.01) + .name("b"); + const duotone = grayscale.addFolder("duotone"); + duotone.add(BASICFX_CONFIG.grayscale_duotone, "value").name("enabled"); + duotone + .addColor(BASICFX_CONFIG.grayscale_duotone_color0, "value") + .name("color0"); + duotone + .addColor(BASICFX_CONFIG.grayscale_duotone_color1, "value") + .name("color1"); + grayscale + .add(BASICFX_CONFIG.grayscale_threshold, "value", -0.01, 1, 0.01) + .name("threshold"); + }, + [setValues, textures] + ); + + const updateBasicFxGUI = useGUI(setupGUI, "BasicFx"); + + return { + updateBasicFxGUI, + setBasicFxGUIValues: (): BasicFxValues => { + return { + ...{ + ...(BASICFX_CONFIG.mixSrc.value && { + mixSrc: { + uv: BASICFX_CONFIG.mixSrc_uv.value && { + ch: BASICFX_CONFIG.mixSrc_uv_ch.value, + factor: BASICFX_CONFIG.mixSrc_uv_factor.value, + offset: BASICFX_CONFIG.mixSrc_uv_offset.value, + radius: BASICFX_CONFIG.mixSrc_uv_radius.value, + position: BASICFX_CONFIG.mixSrc_uv_position.value, + range: BASICFX_CONFIG.mixSrc_uv_range.value, + mixMap: BASICFX_CONFIG.mixSrc_uv_mixMap.value && { + ch: BASICFX_CONFIG.mixSrc_uv_mixMap_ch.value, + }, + }, + color: BASICFX_CONFIG.mixSrc_color.value && { + factor: BASICFX_CONFIG.mixSrc_color_factor.value, + radius: BASICFX_CONFIG.mixSrc_color_radius.value, + position: BASICFX_CONFIG.mixSrc_color_position.value, + range: BASICFX_CONFIG.mixSrc_color_range.value, + mixMap: BASICFX_CONFIG.mixSrc_color_mixMap.value && { + ch: BASICFX_CONFIG.mixSrc_color_mixMap_ch.value, + }, + }, + alpha: BASICFX_CONFIG.mixSrc_alpha.value && { + factor: BASICFX_CONFIG.mixSrc_alpha_factor.value, + radius: BASICFX_CONFIG.mixSrc_alpha_radius.value, + position: BASICFX_CONFIG.mixSrc_alpha_position.value, + range: BASICFX_CONFIG.mixSrc_alpha_range.value, + mixMap: BASICFX_CONFIG.mixSrc_alpha_mixMap.value && { + ch: BASICFX_CONFIG.mixSrc_alpha_mixMap_ch.value, + }, + }, + }, + }), + }, + ...{ + ...(BASICFX_CONFIG.mixDst.value && { + mixDst: { + uv: BASICFX_CONFIG.mixDst_uv.value && { + ch: BASICFX_CONFIG.mixDst_uv_ch.value, + factor: BASICFX_CONFIG.mixDst_uv_factor.value, + offset: BASICFX_CONFIG.mixDst_uv_offset.value, + radius: BASICFX_CONFIG.mixDst_uv_radius.value, + position: BASICFX_CONFIG.mixDst_uv_position.value, + range: BASICFX_CONFIG.mixDst_uv_range.value, + mixMap: BASICFX_CONFIG.mixDst_uv_mixMap.value && { + ch: BASICFX_CONFIG.mixDst_uv_mixMap_ch.value, + }, + }, + color: BASICFX_CONFIG.mixDst_color.value && { + factor: BASICFX_CONFIG.mixDst_color_factor.value, + radius: BASICFX_CONFIG.mixDst_color_radius.value, + position: BASICFX_CONFIG.mixDst_color_position.value, + range: BASICFX_CONFIG.mixDst_color_range.value, + mixMap: BASICFX_CONFIG.mixDst_color_mixMap.value && { + ch: BASICFX_CONFIG.mixDst_color_mixMap_ch.value, + }, + }, + alpha: BASICFX_CONFIG.mixDst_alpha.value && { + factor: BASICFX_CONFIG.mixDst_alpha_factor.value, + radius: BASICFX_CONFIG.mixDst_alpha_radius.value, + position: BASICFX_CONFIG.mixDst_alpha_position.value, + range: BASICFX_CONFIG.mixDst_alpha_range.value, + mixMap: BASICFX_CONFIG.mixDst_alpha_mixMap.value && { + ch: BASICFX_CONFIG.mixDst_alpha_mixMap_ch.value, + }, + }, + }, + }), + }, + ...{ + ...(BASICFX_CONFIG.levels.value && { + levels: { + shadows: BASICFX_CONFIG.levels_shadows.value, + midtones: BASICFX_CONFIG.levels_midtones.value, + highlights: BASICFX_CONFIG.levels_highlights.value, + outputMin: BASICFX_CONFIG.levels_outputMin.value, + outputMax: BASICFX_CONFIG.levels_outputMax.value, + }, + }), + }, + ...{ + ...(BASICFX_CONFIG.contrast.value && { + contrast: { + factor: BASICFX_CONFIG.contrast_factor.value, + }, + }), + }, + ...{ + ...(BASICFX_CONFIG.colorBalance.value && { + colorBalance: { + factor: BASICFX_CONFIG.colorBalance_factor.value, + }, + }), + }, + ...{ + ...(BASICFX_CONFIG.hsv.value && { + hsv: { + hueShift: BASICFX_CONFIG.hsv_hueShift.value, + saturation: BASICFX_CONFIG.hsv_saturation.value, + brightness: BASICFX_CONFIG.hsv_brightness.value, + }, + }), + }, + ...{ + ...(BASICFX_CONFIG.posterize.value && { + posterize: { + levels: BASICFX_CONFIG.posterize_levels.value, + }, + }), + }, + ...{ + ...(BASICFX_CONFIG.grayscale.value && { + grayscale: { + weight: BASICFX_CONFIG.grayscale_weight.value, + duotone: BASICFX_CONFIG.grayscale_duotone.value && { + color0: BASICFX_CONFIG.grayscale_duotone_color0.value, + color1: BASICFX_CONFIG.grayscale_duotone_color1.value, + }, + threshold: BASICFX_CONFIG.grayscale_threshold.value, + }, + }), + }, + }; + }, + }; +}; diff --git a/app/tests/bufferMaterial/Playground.tsx b/app/tests/bufferMaterial/Playground.tsx new file mode 100644 index 00000000..584ad32d --- /dev/null +++ b/app/tests/bufferMaterial/Playground.tsx @@ -0,0 +1,56 @@ +"use client"; + +import * as THREE from "three"; +import { extend, useFrame, useThree } from "@react-three/fiber"; +import { BufferMaterial } from "@/packages/use-shader-fx/src"; +import { useTexture } from "@react-three/drei"; +import { useEffect, useRef } from "react"; +import { useFluid } from "@/packages/use-shader-fx/src"; + +extend({ BufferMaterial }); + +export const Playground = () => { + const { size } = useThree(); + const [momo] = useTexture(["/momo.jpg"]); + const material = useRef<BufferMaterial>(null); + useEffect(() => { + if (material.current) + material.current.updateResolution(size.width, size.height); + }, [size]); + const fluid = useFluid({ + size, + dpr: 0.25, + }); + fluid.setValues({ + // colorBalance: { + // factor: new THREE.Vector3(0.5, 0, 0), + // }, + // posterize: { + // levels: new THREE.Vector4(8, 8, 8, 8), + // }, + colorBalance: false, + posterize: false, + }); + useFrame((state) => { + fluid.render(state); + }); + return ( + <mesh> + <planeGeometry args={[2, 2]} /> + <bufferMaterial + ref={material} + key={BufferMaterial.key} + texture_src={momo} + texture_fit={1} + mixSrc={true} + mixSrc_src={fluid.texture} + mixSrc_uv={true} + mixSrc_uv_factor={0.1} + mixSrc_uv_mixMap={true} + mixSrc_uv_mixMap_src={fluid.texture} + posterize + posterize_levels={new THREE.Vector4(4, 4, 4, 4)} + /> + </mesh> + ); +}; diff --git a/app/tests/bufferMaterial/page.tsx b/app/tests/bufferMaterial/page.tsx new file mode 100644 index 00000000..e968de8f --- /dev/null +++ b/app/tests/bufferMaterial/page.tsx @@ -0,0 +1,13 @@ +import { WebGLCanvas } from "../../_components/WebGL/WebGLCanvas"; +import { Playground } from "./Playground"; +import { WebGLTestingContainer } from "@/app/_components/WebGL/WebGLTestingContainer"; + +export default function Page() { + return ( + <WebGLTestingContainer> + <WebGLCanvas isDprUpdate={false}> + <Playground /> + </WebGLCanvas> + </WebGLTestingContainer> + ); +} diff --git a/app/tests/useBlank-useBuffer/Playground.tsx b/app/tests/useBlank-useBuffer/Playground.tsx new file mode 100644 index 00000000..09d02e01 --- /dev/null +++ b/app/tests/useBlank-useBuffer/Playground.tsx @@ -0,0 +1,107 @@ +"use client"; + +import { useFrame, useThree } from "@react-three/fiber"; +import { useFluid, useBuffer, useBlank } from "@/packages/use-shader-fx/src"; +import { useBasicFxGUI } from "../_utils/useBasicFxGUI"; +import { useTexture } from "@react-three/drei"; +import { TextureRenderer } from "../../_components/WebGL/TextureRenderer"; + +export const Playground = () => { + const { size } = useThree(); + + const [mask] = useTexture(["/momo.jpg"]); + + const fluid = useFluid({ + size, + dpr: 0.25, + }); + + const blank = useBlank({ + size, + dpr: 1.5, + pointerLerp: 0.1, + vertexShader: ` + void main() { + gl_Position = vec4(position, 1.0); + } + `, + fragmentShader: ` + precision mediump float; + #define GLSLIFY 1 + + vec2 rotate2D(vec2 p, float angle) { + float s = sin(angle), c = cos(angle); + return mat2(c, -s, s, c) * p; + } + + float gridPattern(vec2 p) { + vec2 grid = abs(fract(p - 0.5) - 0.5) / fwidth(p); + return min(grid.x, grid.y); + } + + float isoGrid(vec2 p) { + p = rotate2D(p, 3.14159 / 4.0); + vec2 grid1 = p; + vec2 grid2 = rotate2D(p, 3.14159 / 3.0); + return min(gridPattern(grid1 * 8.0), gridPattern(grid2 * 8.0)); + } + + void main() { + vec2 uv = vUv; + + vec2 nPointer = pointer * .5 + .5; + + uv.x *= aspectRatio; + nPointer.x *= aspectRatio; + + vec2 mouseInfluence = nPointer - uv; + float mouseDist = length(mouseInfluence); + float distortionAmount = smoothstep(0.3, 0.0, mouseDist) * 0.2; + + vec2 distortedUV = uv + normalize(mouseInfluence) * distortionAmount; + + float grid = isoGrid(distortedUV + time * 0.1); + + vec3 color1 = vec3(0.2, 0.4, 0.8); + vec3 color2 = vec3(0.9, 0.3, 0.5); + vec3 bgColor = vec3(0., 0., 0.); + + float gridLines = smoothstep(0.8, 0.2, grid); + vec3 finalColor = mix(bgColor, mix(color1, color2, sin(time) * 0.5 + 0.5), gridLines); + float alpha = mix(0., 1., gridLines); + gl_FragColor = vec4(finalColor, alpha); + + #include <colorspace_fragment> + } + `, + }); + + const basic = useBuffer({ + size, + dpr: 1.5, + texture: { + src: mask, + fit: 1, + }, + }); + + const { updateBasicFxGUI, setBasicFxGUIValues } = useBasicFxGUI( + basic.setValues, + { + mixSrc: blank.texture, + mixDst: fluid.texture, + mixMap: fluid.texture, + } + ); + + useFrame((state) => { + basic.render(state, { + ...setBasicFxGUIValues(), + }); + blank.render(state); + fluid.render(state); + updateBasicFxGUI(); + }); + + return <TextureRenderer src={basic.texture} />; +}; diff --git a/app/tests/useBlank-useBuffer/page.tsx b/app/tests/useBlank-useBuffer/page.tsx new file mode 100644 index 00000000..e968de8f --- /dev/null +++ b/app/tests/useBlank-useBuffer/page.tsx @@ -0,0 +1,13 @@ +import { WebGLCanvas } from "../../_components/WebGL/WebGLCanvas"; +import { Playground } from "./Playground"; +import { WebGLTestingContainer } from "@/app/_components/WebGL/WebGLTestingContainer"; + +export default function Page() { + return ( + <WebGLTestingContainer> + <WebGLCanvas isDprUpdate={false}> + <Playground /> + </WebGLCanvas> + </WebGLTestingContainer> + ); +} diff --git a/app/tests/useBlank/Playground.tsx b/app/tests/useBlank/Playground.tsx new file mode 100644 index 00000000..351e0d2e --- /dev/null +++ b/app/tests/useBlank/Playground.tsx @@ -0,0 +1,84 @@ +"use client"; + +import { useFrame, useThree } from "@react-three/fiber"; +import { useBlank } from "@/packages/use-shader-fx/src"; +import { useTexture } from "@react-three/drei"; +import { TextureRenderer } from "../../_components/WebGL/TextureRenderer"; + +/*=============================================== +vibe coded by ShaderGPT +===============================================*/ +export const Playground = () => { + const { size } = useThree(); + + const [mask] = useTexture(["/momo.jpg"]); + + const blank = useBlank({ + size, + dpr: 1.5, + pointerLerp: 0.2, + uniforms: { + src: { value: mask }, + }, + vertexShader: ` + void main() { + gl_Position = vec4(position, 1.0); + } + `, + fragmentShader: ` + precision mediump float; + #define GLSLIFY 1 + + vec2 rotate2D(vec2 p, float angle) { + float s = sin(angle), c = cos(angle); + return mat2(c, -s, s, c) * p; + } + + float gridPattern(vec2 p) { + vec2 grid = abs(fract(p - 0.5) - 0.5) / fwidth(p); + return min(grid.x, grid.y); + } + + float isoGrid(vec2 p) { + p = rotate2D(p, 3.14159 / 4.0); + vec2 grid1 = p; + vec2 grid2 = rotate2D(p, 3.14159 / 3.0); + return min(gridPattern(grid1 * 8.0), gridPattern(grid2 * 8.0)); + } + + void main() { + vec2 uv = vUv; + + vec2 nPointer = pointer * .5 + .5; + + uv.x *= aspectRatio; + nPointer.x *= aspectRatio; + + vec2 mouseInfluence = nPointer - uv; + float mouseDist = length(mouseInfluence); + float distortionAmount = smoothstep(0.3, 0.0, mouseDist) * 0.2; + + vec2 distortedUV = uv + normalize(mouseInfluence) * distortionAmount; + + float grid = isoGrid(distortedUV + time * 0.1); + + vec3 color1 = vec3(0.2, 0.4, 0.8); + vec3 color2 = vec3(0.9, 0.3, 0.5); + vec3 bgColor = vec3(0.1, 0.1, 0.2); + + float gridLines = smoothstep(0.8, 0.2, grid); + vec3 finalColor = mix(bgColor, mix(color1, color2, sin(time) * 0.5 + 0.5), gridLines); + + gl_FragColor = vec4(finalColor, 1.0); + + #include <colorspace_fragment> + } + `, + }); + + useFrame((state) => { + blank.render(state); + }); + + return <TextureRenderer src={blank.texture} />; +}; diff --git a/app/tests/useBlank/page.tsx b/app/tests/useBlank/page.tsx new file mode 100644 index 00000000..e968de8f --- /dev/null +++ b/app/tests/useBlank/page.tsx @@ -0,0 +1,13 @@ +import { WebGLCanvas } from "../../_components/WebGL/WebGLCanvas"; +import { Playground } from "./Playground"; +import { WebGLTestingContainer } from "@/app/_components/WebGL/WebGLTestingContainer"; + +export default function Page() { + return ( + <WebGLTestingContainer> + <WebGLCanvas isDprUpdate={false}> + <Playground /> + </WebGLCanvas> + </WebGLTestingContainer> + ); +} diff --git a/app/tests/useBuffer/Playground.tsx b/app/tests/useBuffer/Playground.tsx new file mode 100644 index 00000000..fac46312 --- /dev/null +++ b/app/tests/useBuffer/Playground.tsx @@ -0,0 +1,53 @@ +"use client"; + +import { useFrame, useThree } from "@react-three/fiber"; +import { useBuffer, useFluid, useNoise } from "@/packages/use-shader-fx/src"; +import { useBasicFxGUI } from "../_utils/useBasicFxGUI"; +import { useTexture } from "@react-three/drei"; +import { TextureRenderer } from "../../_components/WebGL/TextureRenderer"; + +export const Playground = () => { + const { size } = useThree(); + + const [mask] = useTexture(["/momo.jpg"]); + const noise = useNoise({ + size, + dpr: 1, + scale: 0.01, + timeStrength: 0.4, + }); + + const buffer = useBuffer({ + size, + dpr: 1, + texture: { + src: mask, + fit: 2, + }, + }); + + const fluid = useFluid({ + size, + dpr: 0.25, + }); + + const { updateBasicFxGUI, setBasicFxGUIValues } = useBasicFxGUI( + buffer.setValues, + { + mixSrc: noise.texture, + mixDst: noise.texture, + mixMap: fluid.texture, + } + ); + + useFrame((state) => { + buffer.render(state, { + ...setBasicFxGUIValues(), + }); + fluid.render(state); + noise.render(state); + updateBasicFxGUI(); + }); + + return <TextureRenderer src={buffer.texture} />; +}; diff --git a/app/tests/useBuffer/page.tsx b/app/tests/useBuffer/page.tsx new file mode 100644 index 00000000..e968de8f --- /dev/null +++ b/app/tests/useBuffer/page.tsx @@ -0,0 +1,13 @@ +import { WebGLCanvas } from "../../_components/WebGL/WebGLCanvas"; +import { Playground } from "./Playground"; +import { WebGLTestingContainer } from "@/app/_components/WebGL/WebGLTestingContainer"; + +export default function Page() { + return ( + <WebGLTestingContainer> + <WebGLCanvas isDprUpdate={false}> + <Playground /> + </WebGLCanvas> + </WebGLTestingContainer> + ); +} diff --git a/app/tests/useFluid/Playground.tsx b/app/tests/useFluid/Playground.tsx new file mode 100644 index 00000000..b7356a14 --- /dev/null +++ b/app/tests/useFluid/Playground.tsx @@ -0,0 +1,37 @@ +"use client"; + +import * as THREE from "three"; +import { useFrame, useThree } from "@react-three/fiber"; +import { useFluid, useNoise } from "@/packages/use-shader-fx/src"; +import { useBasicFxGUI } from "../_utils/useBasicFxGUI"; +import { useTexture } from "@react-three/drei"; +import { TextureRenderer } from "../../_components/WebGL/TextureRenderer"; + +export const Playground = () => { + const { size } = useThree(); + + const [mask] = useTexture(["/mask.png"]); + + const fluid = useFluid({ + size, + dpr: 0.25, + }); + + const { updateBasicFxGUI, setBasicFxGUIValues } = useBasicFxGUI( + fluid.setValues, + { + mixSrc: mask, + mixDst: mask, + mixMap: mask, + } + ); + + useFrame((state) => { + fluid.render(state, { + ...setBasicFxGUIValues(), + }); + updateBasicFxGUI(); + }); + + return <TextureRenderer src={fluid.texture} />; +}; diff --git a/app/tests/useFluid/page.tsx b/app/tests/useFluid/page.tsx new file mode 100644 index 00000000..e968de8f --- /dev/null +++ b/app/tests/useFluid/page.tsx @@ -0,0 +1,13 @@ +import { WebGLCanvas } from "../../_components/WebGL/WebGLCanvas"; +import { Playground } from "./Playground"; +import { WebGLTestingContainer } from "@/app/_components/WebGL/WebGLTestingContainer"; + +export default function Page() { + return ( + <WebGLTestingContainer> + <WebGLCanvas isDprUpdate={false}> + <Playground /> + </WebGLCanvas> + </WebGLTestingContainer> + ); +} diff --git a/app/tests/useGrid/Playground.tsx b/app/tests/useGrid/Playground.tsx new file mode 100644 index 00000000..20474dd7 --- /dev/null +++ b/app/tests/useGrid/Playground.tsx @@ -0,0 +1,87 @@ +"use client"; +import * as THREE from "three"; +import { useFrame, useThree } from "@react-three/fiber"; +import { + useBuffer, + useFluid, + useGrid, + useNoise, +} from "@/packages/use-shader-fx/src"; +import { useBasicFxGUI } from "../_utils/useBasicFxGUI"; +import { useTexture } from "@react-three/drei"; +import { TextureRenderer } from "../../_components/WebGL/TextureRenderer"; + +export const Playground = () => { + const { size } = useThree(); + + const [momo] = useTexture(["/momo.jpg"]); + const [sprite] = useTexture(["/sprite.png"]); + + const buffer = useBuffer({ + size, + dpr: 1.5, + texture: { + src: momo, + fit: 1, + }, + }); + + const fluid = useFluid({ + size, + dpr: 0.3, + scale: new THREE.Vector2(70, 70), + colorBalance: { + factor: new THREE.Vector3(0, 10, 0), + }, + contrast: { + factor: new THREE.Vector4(1, 3, 1, 1), + }, + bounce: false, + }); + + const grid = useGrid({ + size, + dpr: 1.5, + texture: { + src: momo, + // src: fluid.texture, + fit: 0, + }, + }); + + grid.setValues({ + count: new THREE.Vector2(100, 100), + shuffle: { + frequency: 10, + }, + sprite: { + src: sprite, + shuffleSpeed: 0.4, + }, + }); + + const { updateBasicFxGUI, setBasicFxGUIValues } = useBasicFxGUI( + grid.setValues, + { + mixSrc: momo, + mixDst: momo, + mixMap: fluid.texture, + } + ); + + useFrame((state) => { + grid.render(state, { + ...setBasicFxGUIValues(), + }); + const nTime = Math.sin(state.clock.getElapsedTime()) * 0.5 + 0.5; + grid.setValues({ + shuffle: { + range: nTime * 100, + }, + }); + fluid.render(state); + updateBasicFxGUI(); + }); + + return <TextureRenderer src={grid.texture} />; +}; diff --git a/app/tests/useGrid/page.tsx b/app/tests/useGrid/page.tsx new file mode 100644 index 00000000..e968de8f --- /dev/null +++ b/app/tests/useGrid/page.tsx @@ -0,0 +1,13 @@ +import { WebGLCanvas } from "../../_components/WebGL/WebGLCanvas"; +import { Playground } from "./Playground"; +import { WebGLTestingContainer } from "@/app/_components/WebGL/WebGLTestingContainer"; + +export default function Page() { + return ( + <WebGLTestingContainer> + <WebGLCanvas isDprUpdate={false}> + <Playground /> + </WebGLCanvas> + </WebGLTestingContainer> + ); +} diff --git a/app/tests/useNoise/Playground.tsx b/app/tests/useNoise/Playground.tsx new file mode 100644 index 00000000..d4de33bb --- /dev/null +++ b/app/tests/useNoise/Playground.tsx @@ -0,0 +1,45 @@ +"use client"; + +import * as THREE from "three"; +import { useFrame, useThree } from "@react-three/fiber"; +import { useFluid, useNoise } from "@/packages/use-shader-fx/src"; +import { useBasicFxGUI } from "../_utils/useBasicFxGUI"; +import { useTexture } from "@react-three/drei"; +import { TextureRenderer } from "../../_components/WebGL/TextureRenderer"; + +export const Playground = () => { + const { size } = useThree(); + + const [mask] = useTexture(["/mask.png"]); + + const noise = useNoise({ + size, + dpr: 0.5, + scale: 0.01, + timeStrength: 0.4, + }); + + // const fluid = useFluid({ + // size, + // dpr: 0.24, + // }); + + const { updateBasicFxGUI, setBasicFxGUIValues } = useBasicFxGUI( + noise.setValues, + { + mixSrc: mask, + mixDst: mask, + mixMap: mask, + } + ); + + useFrame((state) => { + noise.render(state, { + ...setBasicFxGUIValues(), + }); + // fluid.render(state); + updateBasicFxGUI(); + }); + + return <TextureRenderer src={noise.texture} />; +}; diff --git a/app/tests/useNoise/page.tsx b/app/tests/useNoise/page.tsx new file mode 100644 index 00000000..e968de8f --- /dev/null +++ b/app/tests/useNoise/page.tsx @@ -0,0 +1,13 @@ +import { WebGLCanvas } from "../../_components/WebGL/WebGLCanvas"; +import { Playground } from "./Playground"; +import { WebGLTestingContainer } from "@/app/_components/WebGL/WebGLTestingContainer"; + +export default function Page() { + return ( + <WebGLTestingContainer> + <WebGLCanvas isDprUpdate={false}> + <Playground /> + </WebGLCanvas> + </WebGLTestingContainer> + ); +} diff --git a/app/tests/useRawBlank-useBuffer/Playground.tsx b/app/tests/useRawBlank-useBuffer/Playground.tsx new file mode 100644 index 00000000..48c98eed --- /dev/null +++ b/app/tests/useRawBlank-useBuffer/Playground.tsx @@ -0,0 +1,204 @@ +"use client"; + +import * as THREE from "three"; +import { useFrame, useThree } from "@react-three/fiber"; +import { useFluid, useRawBlank, useBuffer } from "@/packages/use-shader-fx/src"; +import { useBasicFxGUI } from "../_utils/useBasicFxGUI"; +import { TextureRenderer } from "../../_components/WebGL/TextureRenderer"; + +export const Playground = () => { + const { size } = useThree(); + + const fluid = useFluid({ + size, + dpr: 0.25, + }); + + const rawShader = useRawBlank({ + size, + dpr: 1, + uniforms: { + src: { value: fluid.velocity }, + time: { value: 0 }, + pointer: { value: new THREE.Vector2() }, + }, + vertexShader: ` + void main() { + gl_Position = vec4(position, 1.0); + } + `, + fragmentShader: ` + precision mediump float; + + uniform float time; + uniform vec2 pointer; + + #define PI 3.14159265359 + #define MAX_STEPS 100 + #define MAX_DIST 100.0 + #define SURF_DIST 0.001 + + // SDF for a sphere + float sdSphere(vec3 p, float r) { + return length(p) - r; + } + + // Smooth minimum function for gooey effect + float smin(float a, float b, float k) { + float h = clamp(0.5 + 0.5 * (b - a) / k, 0.0, 1.0); + return mix(b, a, h) - k * h * (1.0 - h); + } + + // Noise function for added texture + float hash21(vec2 p) { + p = fract(p * vec2(123.34, 456.21)); + p += dot(p, p + 45.32); + return fract(p.x * p.y); + } + + // Scene SDF + float map(vec3 p) { + // Mouse influence on movement + vec2 m = pointer * 2.0 - 1.0; + + // First sphere position with time-based animation + vec3 p1 = p - vec3(sin(time * 0.5) * 1.5 + m.x, cos(time * 0.7) * 0.5 + m.y, 0.0); + float sphere1 = sdSphere(p1, 1.0 + 0.2 * sin(time)); + + // Second sphere position with different animation pattern + vec3 p2 = p - vec3(cos(time * 0.6) * 1.5 - m.x, sin(time * 0.4) * 0.5 - m.y, 0.0); + float sphere2 = sdSphere(p2, 0.8 + 0.3 * cos(time * 0.8)); + + // Gooey blend between the two spheres + float mouseInfluence = length(m) * 2.0; // Stronger influence when mouse is further from center + float blendFactor = 0.8 + 0.5 * mouseInfluence; + return smin(sphere1, sphere2, blendFactor); + } + + // Calculate normal + vec3 getNormal(vec3 p) { + float d = map(p); + vec2 e = vec2(0.001, 0.0); + + vec3 n = d - vec3( + map(p - e.xyy), + map(p - e.yxy), + map(p - e.yyx) + ); + + return normalize(n); + } + + // Raymarching + float rayMarch(vec3 ro, vec3 rd) { + float dO = 0.0; + + for(int i = 0; i < MAX_STEPS; i++) { + vec3 p = ro + rd * dO; + float dS = map(p); + dO += dS; + if(dO > MAX_DIST || abs(dS) < SURF_DIST) break; + } + + return dO; + } + + // Color palette function + vec3 palette(float t) { + vec3 a = vec3(0.5, 0.5, 0.5); + vec3 b = vec3(0.5, 0.5, 0.5); + vec3 c = vec3(1.0, 1.0, 1.0); + vec3 d = vec3(0.3, 0.2, 0.2); + return a + b * cos(6.28318 * (c * t + d)); + } + + void main() { + // Adjust for aspect ratio + vec2 uv = vUv - 0.5; + uv.x *= resolution.x / resolution.y; + + // Setup camera + vec3 ro = vec3(0.0, 0.0, -4.0); + vec3 rd = normalize(vec3(uv, 1.0)); + + // Raymarch + float d = rayMarch(ro, rd); + + // Background color - deep purple + vec3 col = vec3(0.1, 0.05, 0.2); + + // If we hit something + if(d < MAX_DIST) { + vec3 p = ro + rd * d; + vec3 n = getNormal(p); + + // Basic lighting + vec3 lightPos = vec3(2.0, 4.0, -3.0); + vec3 lightDir = normalize(lightPos - p); + float diff = max(dot(n, lightDir), 0.0); + + // Add specular highlight + vec3 viewDir = normalize(ro - p); + vec3 reflectDir = reflect(-lightDir, n); + float spec = pow(max(dot(viewDir, reflectDir), 0.0), 32.0); + + // Gooey color based on position and time + float t = length(p) * 0.2 + time * 0.1; + vec3 baseColor = palette(t); + + // Add some noise texture + float noise = hash21(p.xy * 10.0 + time); + baseColor += noise * 0.05; + + // Final color with lighting + col = baseColor * (diff * 0.8 + 0.2) + vec3(1.0) * spec * 0.5; + + // Add rim lighting for gooey effect + float rim = 1.0 - max(dot(viewDir, n), 0.0); + rim = pow(rim, 4.0); + col += rim * vec3(0.3, 0.5, 0.7) * 0.5; + } + + // Apply subtle vignette + float vignette = 1.0 - length(vUv - 0.5) * 0.8; + col *= vignette; + + // Output final color + gl_FragColor = vec4(col, 1.0); + + #include <colorspace_fragment> + } + `, + }); + + const basic = useBuffer({ + size, + dpr: 1, + texture: { + src: rawShader.texture, + fit: 0, + }, + }); + + const { updateBasicFxGUI, setBasicFxGUIValues } = useBasicFxGUI( + basic.setValues, + { + mixSrc: fluid.texture, + mixDst: fluid.texture, + mixMap: fluid.texture, + } + ); + + useFrame((state) => { + basic.render(state, { + ...setBasicFxGUIValues(), + }); + rawShader.render(state); + rawShader.material!.uniforms.time.value = state.clock.getElapsedTime(); + rawShader.material!.uniforms.pointer.value.lerp(state.pointer, 0.1); + fluid.render(state); + updateBasicFxGUI(); + }); + + return <TextureRenderer src={basic.texture} />; +}; diff --git a/app/tests/useRawBlank-useBuffer/page.tsx b/app/tests/useRawBlank-useBuffer/page.tsx new file mode 100644 index 00000000..e968de8f --- /dev/null +++ b/app/tests/useRawBlank-useBuffer/page.tsx @@ -0,0 +1,13 @@ +import { WebGLCanvas } from "../../_components/WebGL/WebGLCanvas"; +import { Playground } from "./Playground"; +import { WebGLTestingContainer } from "@/app/_components/WebGL/WebGLTestingContainer"; + +export default function Page() { + return ( + <WebGLTestingContainer> + <WebGLCanvas isDprUpdate={false}> + <Playground /> + </WebGLCanvas> + </WebGLTestingContainer> + ); +} diff --git a/app/tests/useRawBlank/Playground.tsx b/app/tests/useRawBlank/Playground.tsx new file mode 100644 index 00000000..9a23110a --- /dev/null +++ b/app/tests/useRawBlank/Playground.tsx @@ -0,0 +1,48 @@ +"use client"; + +import { useFrame, useThree } from "@react-three/fiber"; +import { useFluid, useRawBlank } from "@/packages/use-shader-fx/src"; +import { TextureRenderer } from "../../_components/WebGL/TextureRenderer"; + +export const Playground = () => { + const { size } = useThree(); + + const fluid = useFluid({ + size, + dpr: 0.25, + }); + + const rawShader = useRawBlank({ + size, + dpr: 1, + uniforms: { + src: { value: fluid.velocity }, + }, + vertexShader: ` + void main() { + gl_Position = vec4(position, 1.0); + } + `, + fragmentShader: ` + uniform sampler2D src; + void main() { + vec2 uv = vUv; + vec2 vel = texture2D(src, uv).rg; + float len = length(vel); + vel = vel * 0.5 + 0.5; + + vec3 color = vec3(vel.x, vel.y, 1.0); + color = mix(vec3(1.0), color, len); + + gl_FragColor = vec4(color, 1.); + } + `, + }); + + useFrame((state) => { + rawShader.render(state); + fluid.render(state); + }); + + return <TextureRenderer src={rawShader.texture} />; +}; diff --git a/app/tests/useRawBlank/page.tsx b/app/tests/useRawBlank/page.tsx new file mode 100644 index 00000000..e968de8f --- /dev/null +++ b/app/tests/useRawBlank/page.tsx @@ -0,0 +1,13 @@ +import { WebGLCanvas } from "../../_components/WebGL/WebGLCanvas"; +import { Playground } from "./Playground"; +import { WebGLTestingContainer } from "@/app/_components/WebGL/WebGLTestingContainer"; + +export default function Page() { + return ( + <WebGLTestingContainer> + <WebGLCanvas isDprUpdate={false}> + <Playground /> + </WebGLCanvas> + </WebGLTestingContainer> + ); +} diff --git a/app/useBlank/FxMaterial.tsx b/app/useBlank/FxMaterial.tsx deleted file mode 100644 index b87eac16..00000000 --- a/app/useBlank/FxMaterial.tsx +++ /dev/null @@ -1,38 +0,0 @@ -import * as THREE from "three"; -import { shaderMaterial } from "@react-three/drei"; - -declare global { - namespace JSX { - interface IntrinsicElements { - fxMaterial: any; - } - } -} - -export type FxMaterialProps = { - u_fx: THREE.Texture; -}; - -export const FxMaterial = shaderMaterial( - { - u_fx: new THREE.Texture(), - }, - - ` - varying vec2 vUv; - void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); - } - `, - ` - precision highp float; - varying vec2 vUv; - uniform sampler2D u_fx; - void main() { - vec2 uv = vUv; - vec4 color = texture2D(u_fx, uv); - gl_FragColor = color; - } - ` -); diff --git a/app/useBlank/Playground.tsx b/app/useBlank/Playground.tsx deleted file mode 100644 index 9a19c213..00000000 --- a/app/useBlank/Playground.tsx +++ /dev/null @@ -1,67 +0,0 @@ -"use client"; - -import * as THREE from "three"; -import { useCallback, useMemo } from "react"; -import { useFrame, useThree, extend } from "@react-three/fiber"; -import { useBlank, useCoverTexture } from "@/packages/use-shader-fx/src"; -import { FxMaterial } from "./FxMaterial"; -import { useVideoTexture } from "@react-three/drei"; -import { OnBeforeInitParameters } from "@/packages/use-shader-fx/src/fxs/types"; - -extend({ FxMaterial }); - -export const Playground = () => { - const { size, viewport, gl } = useThree(); - const funkun_mov = useVideoTexture("/FT_Ch02-comp.mp4", { - width: 1280, - height: 720, - }); - const [updateCover, setCover, { output: cover }] = useCoverTexture({ - size, - dpr: 1, - }); - setCover({ - texture: funkun_mov, - }); - const [updateBlank, setBlank, { output: blank }] = useBlank({ - size, - dpr: viewport.dpr, - onBeforeInit: useCallback((params: OnBeforeInitParameters) => { - Object.assign(params.uniforms, { - hoge: { value: 0 }, - }); - params.fragmentShader = params.fragmentShader.replace( - "#usf <uniforms>", - "uniform float hoge;" - ); - params.fragmentShader = params.fragmentShader.replace( - "#usf <main>", - `float t=uTime,c;vec2 z,u,n=vec2(cos(t),sin(t));z=vUv*2.-1.;for(int i=0;i<12;i++){if(dot(z,z)>8.)discard;z=vec2(z.x*z.x-z.y*z.y,z.x*z.y)+n;}c=cos(length(z)+log(length(z)));u=vUv;u+=z*hoge;usf_FragColor=vec4(mix(vec3(c),texture2D(uTexture,u).rgb,1.-hoge),1.);` - ); - console.log(params); - }, []), - }); - setBlank({ - texture: cover, - }); - - useFrame((state) => { - updateBlank( - state, - {}, - { - hoge: Math.sin(state.clock.getElapsedTime()), - } - ); - updateCover(state); - }); - - return ( - <> - <mesh> - <planeGeometry args={[2, 2]} /> - <fxMaterial u_fx={blank} key={FxMaterial.key} /> - </mesh> - </> - ); -}; diff --git a/app/useBlank/page.tsx b/app/useBlank/page.tsx deleted file mode 100644 index a84dd222..00000000 --- a/app/useBlank/page.tsx +++ /dev/null @@ -1,18 +0,0 @@ -import { ShaderFx } from "../ShaderFx"; -import { Playground } from "./Playground"; - -export default function Page() { - return ( - <div - style={{ - position: "fixed", - width: "100%", - height: "100svh", - pointerEvents: "none", - }}> - <ShaderFx isDprUpdate={false}> - <Playground /> - </ShaderFx> - </div> - ); -} diff --git a/app/useMorphParticles/FxMaterial.tsx b/app/useMorphParticles/FxMaterial.tsx deleted file mode 100644 index 2f49a508..00000000 --- a/app/useMorphParticles/FxMaterial.tsx +++ /dev/null @@ -1,30 +0,0 @@ -import * as THREE from "three"; -import { shaderMaterial } from "@react-three/drei"; -import fragment from "./main.frag"; - -declare global { - namespace JSX { - interface IntrinsicElements { - fxMaterial: any; - } - } -} - -export type FxMaterialProps = { - u_fx: THREE.Texture; -}; - -export const FxMaterial = shaderMaterial( - { - u_fx: new THREE.Texture(), - }, - - ` - varying vec2 vUv; - void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); - } - `, - fragment -); diff --git a/app/useMorphParticles/Playground.tsx b/app/useMorphParticles/Playground.tsx deleted file mode 100644 index bbff09ef..00000000 --- a/app/useMorphParticles/Playground.tsx +++ /dev/null @@ -1,192 +0,0 @@ -"use client"; - -import * as THREE from "three"; -import { use, useCallback, useEffect, useMemo, useRef } from "react"; -import { - useFrame, - useThree, - extend, - useLoader, - Size, -} from "@react-three/fiber"; -import { - useMorphParticles, - useCreateMorphParticles, - MORPHPARTICLES_PARAMS, - MorphParticlesParams, - useBeat, - useFluid, - usePointer, -} from "@/packages/use-shader-fx/src"; -import { FxMaterial, FxMaterialProps } from "./FxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "@/utils/useGUI"; -import { OrbitControls } from "@react-three/drei"; - -extend({ FxMaterial }); - -const CONFIG: MorphParticlesParams = structuredClone(MORPHPARTICLES_PARAMS); -const setGUI = (gui: GUI) => { - gui.add(CONFIG, "blurAlpha", 0, 1, 0.01); - gui.add(CONFIG, "blurRadius", 0, 2, 0.01); - gui.add(CONFIG, "pointSize", 0.01, 2, 0.01); - // gui.addColor(CONFIG, "color0"); - // gui.addColor(CONFIG, "color1"); - // gui.addColor(CONFIG, "color2"); - // gui.addColor(CONFIG, "color3"); - gui.add(CONFIG, "wobbleStrength", 0, 10, 0.01); - gui.add(CONFIG, "wobblePositionFrequency", 0, 10, 0.01); - gui.add(CONFIG, "wobbleTimeFrequency", 0, 10, 0.01); - gui.add(CONFIG, "warpStrength", 0, 10, 0.01); - gui.add(CONFIG, "warpPositionFrequency", 0, 10, 0.01); - gui.add(CONFIG, "warpTimeFrequency", 0, 10, 0.01); - gui.add(CONFIG, "displacementIntensity", 0, 10, 0.01); - gui.add(CONFIG, "displacementColorIntensity", 0, 40, 0.01); - gui.add(CONFIG, "sizeRandomIntensity", 0, 10, 0.01); - gui.add(CONFIG, "sizeRandomTimeFrequency", 0, 3, 0.01); - gui.add(CONFIG, "sizeRandomMin", 0, 1, 0.01); - gui.add(CONFIG, "sizeRandomMax", 1, 2, 0.01); - gui.add(CONFIG, "divergence", -2, 2, 0.1); -}; -const setConfig = () => { - return { - ...CONFIG, - } as MorphParticlesParams; -}; -const morphList = [ - new THREE.PlaneGeometry(5, 5, 100, 100).attributes.position - .array as Float32Array, - new THREE.TorusGeometry(2.5, 1, 50, 30).attributes.position - .array as Float32Array, -]; -const uvList = [ - new THREE.PlaneGeometry(5, 5, 100, 100).attributes.uv.array as Float32Array, - new THREE.TorusGeometry(2.5, 1, 50, 30).attributes.uv.array as Float32Array, -]; - -export const Playground = () => { - const updateGUI = useGUI(setGUI); - const [funkun, funkunAlpha] = useLoader(THREE.TextureLoader, [ - "/funkun.jpg", - "/funkun-alpha.jpg", - ]); - const { size, viewport, scene } = useThree(); - - const [updateFluid, setFluid, { output: fluid }] = useFluid({ - size, - dpr: 0.1, - }); - - const colorVec = new THREE.Vector3(0, 0, 0); - setFluid({ - fluidColor: (velocity: THREE.Vector2) => { - const rCol = Math.max(0.0, Math.abs(velocity.x) * 200); - const gCol = Math.max(0.0, Math.abs(velocity.y) * 100); - const bCol = Math.max(0.0, (rCol + gCol) / 2); - return colorVec.set(rCol, gCol, bCol); - }, - }); - - const [updatePoints, points] = useCreateMorphParticles({ - scene: false, - size, - dpr: viewport.dpr, - geometry: useMemo(() => new THREE.IcosahedronGeometry(2.5, 50), []), - positions: morphList, - uvs: uvList, - // geometry: new THREE.PlaneGeometry(5, 5, 100, 100), - // onBeforeCompile: useCallback((shader: THREE.Shader) => { - // // shader.vertexShader = shader.vertexShader.replace( - // // "gl_Position = projectedPosition += wobble;", - // // "gl_Position = projectedPosition += wobble + 2.;" - // // ); - // console.log(shader); - // }, []), - }); - - const beat = useBeat(140, "easeOutCubic"); - const updatePointer = usePointer(); - const refPointer = useRef(new THREE.Vector2(0, 0)); - const handlePointerMove = (e: any) => { - if (!e?.pointer) { - return; - } - refPointer.current = e.pointer; - }; - - useFrame((state) => { - const b = beat(state.clock); - updateFluid(state, { - pointerValues: updatePointer(refPointer.current), - }); - updatePoints(state, { - ...setConfig(), - displacement: fluid, - picture: funkun, - alphaPicture: funkunAlpha, - // map: funkun, - // alphaMap: funkunAlpha, - beat: b.beat, - morphProgress: Math.max(Math.sin(state.clock.getElapsedTime() / 2), 0), - // morphProgress: 0.5, - }); - updateGUI(); - }); - - return ( - <mesh> - <OrbitControls /> - <primitive object={points.points} /> - <primitive - onPointerMove={handlePointerMove} - object={points.interactiveMesh} - /> - </mesh> - ); -}; - -/*=============================================== -you can also use useMorphParticles (FBO) -===============================================*/ -// export const Playground = () => { -// const { size, viewport, scene, camera } = useThree(); - -// const [updatePoints, setPoints, { output }] = useMorphParticles({ -// camera, -// size, -// dpr: viewport.dpr, -// geometry: new THREE.IcosahedronGeometry(2.5, 50), -// positions: morphList, -// uvs: uvList, -// // geometry: new THREE.PlaneGeometry(5, 5, 100, 100), -// }); - -// const beat = useBeat(140, "easeOutCubic"); -// const updatePointer = usePointer(); -// const refPointer = useRef(new THREE.Vector2(0, 0)); -// const handlePointerMove = (e: any) => { -// if (!e?.pointer) { -// return; -// } -// refPointer.current = e.pointer; -// }; - -// useFrame((state) => { -// const b = beat(state.clock); -// updatePoints(state, { -// ...setConfig(), -// // map: funkun, -// // alphaMap: funkunAlpha, -// beat: b.beat, -// morphProgress: Math.max(Math.sin(state.clock.getElapsedTime() / 2), 0), -// // morphProgress: 0.5, -// }); -// }); - -// return ( -// <mesh> -// <planeGeometry args={[2, 2]} /> -// <fxMaterial key={FxMaterial.key} u_fx={output} /> -// </mesh> -// ); -// }; diff --git a/app/useMorphParticles/main.frag b/app/useMorphParticles/main.frag deleted file mode 100644 index bdaf5c1b..00000000 --- a/app/useMorphParticles/main.frag +++ /dev/null @@ -1,7 +0,0 @@ -precision highp float; -varying vec2 vUv; -uniform sampler2D u_fx; - -void main() { - gl_FragColor = texture2D(u_fx,vUv); -} \ No newline at end of file diff --git a/app/useMorphParticles/page.tsx b/app/useMorphParticles/page.tsx deleted file mode 100644 index 4afc0060..00000000 --- a/app/useMorphParticles/page.tsx +++ /dev/null @@ -1,18 +0,0 @@ -import { ShaderFx } from "../ShaderFx"; -import { Playground } from "./Playground"; - -export default function Page() { - return ( - <div - style={{ - position: "fixed", - width: "100%", - height: "100svh", - pointerEvents: "none", - }}> - <ShaderFx> - <Playground /> - </ShaderFx> - </div> - ); -} diff --git a/app/useWobble3D/FxMaterial.tsx b/app/useWobble3D/FxMaterial.tsx deleted file mode 100644 index d1a9c743..00000000 --- a/app/useWobble3D/FxMaterial.tsx +++ /dev/null @@ -1,38 +0,0 @@ -import * as THREE from "three"; -import { shaderMaterial } from "@react-three/drei"; - -declare global { - namespace JSX { - interface IntrinsicElements { - fxMaterial: any; - } - } -} - -export type FxMaterialProps = { - u_fx: THREE.Texture; -}; - -export const FxMaterial = shaderMaterial( - { - u_fx: new THREE.Texture(), - }, - - ` - varying vec2 vUv; - void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); - } - `, - ` - precision highp float; - varying vec2 vUv; - uniform sampler2D u_fx; - - void main() { - gl_FragColor = texture2D(u_fx,vUv); - // gl_FragColor = vec4(1.,1.,0.,1.); - } - ` -); diff --git a/app/useWobble3D/Playground.tsx b/app/useWobble3D/Playground.tsx deleted file mode 100644 index 1a1a63a8..00000000 --- a/app/useWobble3D/Playground.tsx +++ /dev/null @@ -1,173 +0,0 @@ -"use client"; - -import * as THREE from "three"; -import { useEffect } from "react"; -import { useFrame, useThree, extend, useLoader } from "@react-three/fiber"; -import { - useBeat, - useCreateWobble3D, - Wobble3DParams, - WOBBLE3D_PARAMS, - useWobble3D, -} from "@/packages/use-shader-fx/src"; -import { FxMaterial } from "./FxMaterial"; -import GUI from "lil-gui"; -import { useGUI } from "@/utils/useGUI"; -import { OrbitControls, Environment } from "@react-three/drei"; - -extend({ FxMaterial }); - -const CONFIG: Wobble3DParams = { - ...structuredClone(WOBBLE3D_PARAMS), - color0: new THREE.Color(0x1adb91), - color1: new THREE.Color(0xdbff57), - color2: new THREE.Color(0xdf6bff), - color3: new THREE.Color(0x9eaeff), - wobbleStrength: 0.8, - wobbleTimeFrequency: 0.4, - warpStrength: 0.2, - colorMix: 0.6, - chromaticAberration: 0.8, - anisotropicBlur: 0.2, - distortion: 2, - distortionScale: 0.8, - temporalDistortion: 0.3, - refractionSamples: 6, -}; - -const MATERIAL_CONFIG: THREE.MeshPhysicalMaterialParameters = { - iridescence: 0, - metalness: 0.0, - roughness: 0.0, - transmission: 0.99, - thickness: 0.2, - transparent: true, -}; - -const setGUI = (gui: GUI) => { - gui.addColor(CONFIG, "color0"); - gui.addColor(CONFIG, "color1"); - gui.addColor(CONFIG, "color2"); - gui.addColor(CONFIG, "color3"); - gui.add(CONFIG, "wobbleStrength", 0, 10, 0.01); - gui.add(CONFIG, "wobblePositionFrequency", 0, 10, 0.01); - gui.add(CONFIG, "wobbleTimeFrequency", 0, 10, 0.01); - gui.add(CONFIG, "warpStrength", 0, 10, 0.01); - gui.add(CONFIG, "warpPositionFrequency", 0, 10, 0.01); - gui.add(CONFIG, "warpTimeFrequency", 0, 10, 0.01); - gui.add(CONFIG, "refractionSamples", 0, 10, 1); - gui.add(CONFIG, "colorMix", 0, 1, 0.01); - gui.add(CONFIG, "chromaticAberration", 0, 10, 0.01); - gui.add(CONFIG, "anisotropicBlur", 0, 10, 0.01); - gui.add(CONFIG, "distortion", 0, 10, 0.01); - gui.add(CONFIG, "distortionScale", 0, 10, 0.01); - gui.add(CONFIG, "temporalDistortion", 0, 10, 0.01); - const mpm = gui.addFolder("MeshPhysicalMaterial"); - mpm.add(MATERIAL_CONFIG, "iridescence", 0, 1, 0.01); - mpm.add(MATERIAL_CONFIG, "metalness", 0, 1, 0.01); - mpm.add(MATERIAL_CONFIG, "roughness", 0, 1, 0.01); - mpm.add(MATERIAL_CONFIG, "transmission", 0, 10, 0.01); - mpm.add(MATERIAL_CONFIG, "thickness", 0, 10, 0.01); - return gui; -}; -const setConfig = () => { - return { - ...CONFIG, - } as Wobble3DParams; -}; - -export const Playground = () => { - const updateGUI = useGUI(setGUI); - const [funkun] = useLoader(THREE.TextureLoader, ["/funkun.jpg"]); - - /*=============================================== - example of FBO - ===============================================*/ - // const { size, viewport, camera } = useThree(); - // const [update, _, { output, scene }] = useWobble3D({ - // size, - // dpr: viewport.dpr, - // camera, - // }); - // useEffect(() => { - // const light = new THREE.AmbientLight(0xffffff, 2); - // scene.add(light); - // }, [scene]); - // useFrame((props) => update(props)); - - /*=============================================== - example of primitive - ===============================================*/ - const [updateWobble, wobble] = useCreateWobble3D({ - baseMaterial: THREE.MeshPhysicalMaterial, - materialParameters: MATERIAL_CONFIG, - isCustomTransmission: true, - depth: true, - // onBeforeInit: (params) => { - // console.log(params); - // }, - }); - if (wobble.depthMaterial) { - wobble.mesh.customDepthMaterial = wobble.depthMaterial; - } - wobble.mesh.receiveShadow = true; - wobble.mesh.castShadow = true; - - const beat = useBeat(140, "easeInOutBack"); - - useFrame((state) => { - updateWobble(state, { - ...setConfig(), - beat: beat(state.clock).beat, - }); - const mat = wobble.mesh.material as THREE.MeshPhysicalMaterial; - mat.iridescence = MATERIAL_CONFIG.iridescence!; - mat.metalness = MATERIAL_CONFIG.metalness!; - mat.roughness = MATERIAL_CONFIG.roughness!; - mat.transmission = MATERIAL_CONFIG.transmission!; - mat.thickness = MATERIAL_CONFIG.thickness!; - updateGUI(); - }); - - return ( - <mesh> - <directionalLight - color={"white"} - position={[0.25, 2, 3]} - intensity={3} - castShadow - /> - <OrbitControls /> - <Environment preset="warehouse" background={true} /> - <primitive object={wobble.mesh} /> - <mesh receiveShadow position={[0, -4, -8]}> - <planeGeometry args={[15, 15, 15]} /> - <meshStandardMaterial map={funkun} /> - </mesh> - {/* <OrbitControls /> - <planeGeometry args={[2, 2]} /> - <fxMaterial key={FxMaterial.key} u_fx={output} /> */} - </mesh> - ); -}; - -/*=============================================== -simpler example -===============================================*/ -// export const Playground = () => { -// const [updateWobble, wobble] = useCreateWobble3D({ -// baseMaterial: THREE.MeshPhysicalMaterial, -// materialParameters: { -// roughness: 0.0, -// transmission: 1, -// thickness: 1, -// }, -// }); -// useFrame((state) => updateWobble(state)); -// return ( -// <mesh> -// <Environment preset="warehouse" background /> -// <primitive object={wobble.mesh} /> -// </mesh> -// ); -// }; diff --git a/app/useWobble3D/page.tsx b/app/useWobble3D/page.tsx deleted file mode 100644 index 420e310a..00000000 --- a/app/useWobble3D/page.tsx +++ /dev/null @@ -1,18 +0,0 @@ -import { ShaderFx } from "../ShaderFx"; -import { Playground } from "./Playground"; - -export default function Page() { - return ( - <div - style={{ - position: "fixed", - width: "100%", - height: "100svh", - pointerEvents: "none", - }}> - <ShaderFx shadows={true} isDprUpdate={false}> - <Playground /> - </ShaderFx> - </div> - ); -} diff --git a/css/article.module.scss b/css/article.module.scss new file mode 100644 index 00000000..658504ae --- /dev/null +++ b/css/article.module.scss @@ -0,0 +1,285 @@ +@use "@/css" as *; + +@mixin quoteIcon($color) { + background-image: url('data:image/svg+xml;utf8,<svg width="33" height="28" viewBox="0 0 33 28" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M7.19114 27.7398C2.54598 27.7398 0.0390625 24.0532 0.0390625 17.7122C0.0390625 10.1915 3.7257 4.51403 11.099 0.679932L13.6059 5.47256C8.81326 8.05321 6.38008 11.2237 6.38008 15.9426C6.67501 15.8689 6.89621 15.8689 7.19114 15.8689C10.3616 15.8689 13.0898 18.0071 13.0898 21.5463C13.0898 25.3804 10.6566 27.7398 7.19114 27.7398ZM25.6243 27.7398C20.9792 27.7398 18.4722 24.0532 18.4722 17.7122C18.4722 10.1915 22.1589 4.51403 29.5321 0.679932L32.0391 5.47256C27.2464 8.05321 24.8133 11.2237 24.8133 15.9426C25.1082 15.8689 25.3294 15.8689 25.6243 15.8689C28.7948 15.8689 31.5229 18.0071 31.5229 21.5463C31.5229 25.3804 29.016 27.7398 25.6243 27.7398Z" fill="%23#{$color}"/></svg>'); +} +@function re-color($code) { + @return str-slice("#{$code}", 2); +} + +.article { + position: relative; + z-index: 10; + > *:first-child { + margin-top: 0 !important; + } + + > *:last-child { + margin-bottom: 0 !important; + } + + //color + --color-txt: currentColor; + --color-bg: #{$color-grey2}; + --color-key: #{$color-key}; + + //line-height + --title_lineHeight: #{$leading-snug}; + --text_lineHeight: #{$leading-loose}; + //margin + --title_margin: #{$spacing-6 0 $spacing-1}; + --title_margin_s: #{$spacing-4 0 $spacing-1}; + --text_margin: #{$spacing-1 0}; + --block_margin: #{$spacing-6 0}; + @include mq(md) { + --title_margin: #{$spacing-4 0 $spacing-1}; + --title_margin_s: #{$spacing-3 0 $spacing-1}; + --text_margin: #{$spacing-1 0}; + --block_margin: #{$spacing-4 0}; + } + //fons size + --title_large: 24rem; + --title_medium: 20rem; + --title_small: 18rem; + --text_normal: 15rem; + --text_small: 14rem; + @include mq(md) { + --title_large: 20rem; + --title_medium: 18rem; + --title_small: 16rem; + --text_normal: 13rem; + --text_small: 12rem; + } + + color: var(--color-txt); + + h1, + h2 { + font-size: var(--title_large); + font-weight: bold; + position: relative; + line-height: var(--title_lineHeight); + margin: var(--title_margin); + + // border left + padding-left: $spacing-3; + &:before { + position: absolute; + top: 0; + left: 0; + content: ""; + width: $spacing-half; + height: 100%; + background-color: var(--color-key); + border-radius: $spacing-mini; + } + } + + h3 { + font-size: var(--title_medium); + font-weight: bold; + position: relative; + line-height: var(--title_lineHeight); + margin: var(--title_margin); + } + + h4, + h5, + h6 { + font-size: var(--title_small); + font-weight: bold; + line-height: var(--title_lineHeight); + margin: var(--title_margin_s); + } + + a { + display: inline; + text-decoration: underline; + color: var(--color-key); + @include transition; + transition-property: opacity; + @include hover { + opacity: 0.7; + } + } + + p { + font-size: var(--text_normal); + line-height: var(--text_lineHeight); + margin: var(--text_margin); + } + + ul, + ol { + margin: var(--block_margin); + + li { + font-size: var(--text_normal); + list-style: none; + line-height: var(--title_lineHeight); + + p { + margin: 0; + } + + &:not(:first-child) { + margin-top: $spacing-2; + } + + display: flex; + gap: $spacing-mini; + } + } + + ul { + li { + align-items: flex-start; + &::before { + position: relative; + top: 1.3ch; + content: ""; + width: 4rem; + height: 4rem; + background-color: var(--color-key); + border-radius: 50%; + } + } + } + + ol { + li { + counter-increment: listNum; + + &::before { + content: "" counter(listNum) "."; + } + } + } + + blockquote { + font-size: var(--text_normal); + padding: $spacing-3 $spacing-8; + position: relative; + margin: var(--block_margin); + line-height: var(--text_lineHeight); + + @include mq(sm) { + padding-right: $spacing-1; + padding-left: $spacing-6; + } + + &:before { + margin: auto; + top: $spacing-3; + left: $spacing-2; + content: ""; + position: absolute; + width: 32rem; + height: 27rem; + @include bg_img_contain; + z-index: 1; + @include quoteIcon(re-color($color-key)); + @include mq(sm) { + left: $spacing-1; + width: 24rem; + } + } + &:after { + border-radius: 4rem; + position: absolute; + content: ""; + width: 100%; + height: 100%; + background-color: var(--color-key); + opacity: 0.24; + z-index: -1; + top: 0; + left: 0; + } + + p { + margin: 0; + } + + cite { + font-size: var(--text_small); + opacity: 0.48; + width: 100%; + text-align: right; + display: inline-block; + margin-top: $spacing-1; + line-height: var(--title_lineHeight); + + a { + display: inline; + } + } + } + + table { + border-collapse: collapse; + font-size: var(--text_normal); + width: 100%; + margin: var(--block_margin); + + td, + th { + padding: $spacing-1; + text-align: left; + line-height: var(--title_lineHeight); + border-bottom: 1px solid var(--color-key); + } + + th { + font-weight: bold; + min-width: $spacing-12; + } + } + + img { + display: block; + margin: var(--block_margin); + } + + figure { + margin: var(--block_margin); + + img { + margin: 0; + } + + figcaption { + font-size: var(--text_small); + text-align: center; + margin-top: $spacing-1; + line-height: var(--title_lineHeight); + } + } + + strong { + font-weight: bold; + } + + em { + font-style: italic; + } + + u { + text-decoration: underline; + } + + s { + text-decoration: line-through; + } + + code { + background-color: var(--color-key); + border-radius: 4rem; + padding: 4rem 8rem; + } + + hr { + border-top: 2px solid var(--color-txt); + margin: var(--block_margin); + } +} diff --git a/css/easing.scss b/css/easing.scss new file mode 100644 index 00000000..da9e28d6 --- /dev/null +++ b/css/easing.scss @@ -0,0 +1,975 @@ +$easeInSine: cubic-bezier(0.12, 0, 0.39, 0); +$easeOutSine: cubic-bezier(0.61, 1, 0.88, 1); +$easeInOutSine: cubic-bezier(0.37, 0, 0.63, 1); +$easeOutCubic: cubic-bezier(0.33, 1, 0.68, 1); +$easeInCubic: cubic-bezier(0.32, 0, 0.67, 0); +$easeInOutCubic: cubic-bezier(0.65, 0, 0.35, 1); +$easeInQuint: cubic-bezier(0.64, 0, 0.78, 0); +$easeOutQuint: cubic-bezier(0.22, 1, 0.36, 1); +$easeInOutQuint: cubic-bezier(0.83, 0, 0.17, 1); +$easeInCirc: cubic-bezier(0.55, 0, 1, 0.45); +$easeOutCirc: cubic-bezier(0, 0.55, 0.45, 1); +$easeInOutCirc: cubic-bezier(0.85, 0, 0.15, 1); +@mixin easeInElastic { + @keyframes scale-easeInElastic { + 0% { + transform: scale(1); + } + 4% { + transform: scale(1); + } + 8% { + transform: scale(1); + } + 14% { + transform: scale(1); + } + + 18% { + transform: scale(1); + } + + 26% { + transform: scale(1.01); + } + + 28% { + transform: scale(1.01); + } + + 40% { + transform: scale(0.98); + } + + 42% { + transform: scale(0.98); + } + + 56% { + transform: scale(1.05); + } + + 58% { + transform: scale(1.04); + } + + 72% { + transform: scale(0.87); + } + + 86% { + transform: scale(1.37); + } + + 100% { + transform: scale(0); + } + } + @keyframes undefined-easeInElastic { + 0% { + transform: translateX(0%); + } + + 4% { + transform: translateX(-0.04%); + } + + 8% { + transform: translateX(-0.16%); + } + + 14% { + transform: translateX(-0.17%); + } + + 18% { + transform: translateX(0.04%); + } + + 26% { + transform: translateX(0.58%); + } + + 28% { + transform: translateX(0.55%); + } + + 40% { + transform: translateX(-1.56%); + } + + 42% { + transform: translateX(-1.64%); + } + + 56% { + transform: translateX(4.63%); + } + + 58% { + transform: translateX(4.4%); + } + + 72% { + transform: translateX(-13.12%); + } + + 86% { + transform: translateX(37.06%); + } + + 100% { + transform: translateX(-100%); + } + } + @keyframes opacity-easeInElastic { + 0% { + opacity: 1; + } + + 4% { + opacity: 1; + } + + 8% { + opacity: 1; + } + + 14% { + opacity: 1; + } + + 18% { + opacity: 1; + } + + 26% { + opacity: 1.01; + } + + 28% { + opacity: 1.01; + } + + 40% { + opacity: 0.98; + } + + 42% { + opacity: 0.98; + } + + 56% { + opacity: 1.05; + } + + 58% { + opacity: 1.04; + } + + 72% { + opacity: 0.87; + } + + 86% { + opacity: 1.37; + } + + 100% { + opacity: 0; + } + } +} +@mixin easeOutElastic { + @keyframes scale-easeOutElastic { + 0% { + transform: scale(1); + } + + 16% { + transform: scale(-0.32); + } + + 28% { + transform: scale(0.13); + } + + 44% { + transform: scale(-0.05); + } + + 59% { + transform: scale(0.02); + } + + 73% { + transform: scale(-0.01); + } + + 88% { + transform: scale(0); + } + + 100% { + transform: scale(0); + } + } + @keyframes undefined-easeOutElastic { + 0% { + transform: translateX(0%); + } + + 16% { + transform: translateX(-132.27%); + } + + 28% { + transform: translateX(-86.88%); + } + + 44% { + transform: translateX(-104.63%); + } + + 59% { + transform: translateX(-98.36%); + } + + 73% { + transform: translateX(-100.58%); + } + + 88% { + transform: translateX(-99.8%); + } + + 100% { + transform: translateX(-100%); + } + } + @keyframes opacity-easeOutElastic { + 0% { + opacity: 1; + } + + 16% { + opacity: -0.32; + } + + 28% { + opacity: 0.13; + } + + 44% { + opacity: -0.05; + } + + 59% { + opacity: 0.02; + } + + 73% { + opacity: -0.01; + } + + 88% { + opacity: 0; + } + + 100% { + opacity: 0; + } + } +} +@mixin easeInOutElastic { + @keyframes scale-easeInOutElastic { + 0% { + transform: scale(1); + } + + 4% { + transform: scale(1); + } + + 8% { + transform: scale(1); + } + + 18% { + transform: scale(1.01); + } + + 20% { + transform: scale(1); + } + + 28% { + transform: scale(0.98); + } + + 30% { + transform: scale(0.98); + } + + 38% { + transform: scale(1.09); + } + + 40% { + transform: scale(1.12); + } + + 60% { + transform: scale(-0.12); + } + + 62% { + transform: scale(-0.09); + } + + 70% { + transform: scale(0.02); + } + + 72% { + transform: scale(0.02); + } + + 80% { + transform: scale(0); + } + + 82% { + transform: scale(-0.01); + } + + 90% { + transform: scale(0); + } + + 92% { + transform: scale(0); + } + + 100% { + transform: scale(0); + } + } + @keyframes undefined-easeInOutElastic { + 0% { + transform: translateX(0%); + } + + 4% { + transform: translateX(-0.08%); + } + + 8% { + transform: translateX(-0.1%); + } + + 18% { + transform: translateX(0.52%); + } + + 20% { + transform: translateX(0.39%); + } + + 28% { + transform: translateX(-2.35%); + } + + 30% { + transform: translateX(-2.39%); + } + + 38% { + transform: translateX(9.27%); + } + + 40% { + transform: translateX(11.75%); + } + + 60% { + transform: translateX(-111.75%); + } + + 62% { + transform: translateX(-109.27%); + } + + 70% { + transform: translateX(-97.61%); + } + + 72% { + transform: translateX(-97.65%); + } + + 80% { + transform: translateX(-100.39%); + } + + 82% { + transform: translateX(-100.52%); + } + + 90% { + transform: translateX(-99.97%); + } + + 92% { + transform: translateX(-99.9%); + } + + 100% { + transform: translateX(-100%); + } + } + @keyframes opacity-easeInOutElastic { + 0% { + opacity: 1; + } + + 4% { + opacity: 1; + } + + 8% { + opacity: 1; + } + + 18% { + opacity: 1.01; + } + + 20% { + opacity: 1; + } + + 28% { + opacity: 0.98; + } + + 30% { + opacity: 0.98; + } + + 38% { + opacity: 1.09; + } + + 40% { + opacity: 1.12; + } + + 60% { + opacity: -0.12; + } + + 62% { + opacity: -0.09; + } + + 70% { + opacity: 0.02; + } + + 72% { + opacity: 0.02; + } + + 80% { + opacity: 0; + } + + 82% { + opacity: -0.01; + } + + 90% { + opacity: 0; + } + + 92% { + opacity: 0; + } + + 100% { + opacity: 0; + } + } +} +$easeInQuad: cubic-bezier(0.11, 0, 0.5, 0); +$easeOutQuad: cubic-bezier(0.5, 1, 0.89, 1); +$easeInOutQuad: cubic-bezier(0.45, 0, 0.55, 1); +$easeInQuart: cubic-bezier(0.5, 0, 0.75, 0); +$easeOutQuart: cubic-bezier(0.25, 1, 0.5, 1); +$easeInOutQuart: cubic-bezier(0.76, 0, 0.24, 1); +$easeInExpo: cubic-bezier(0.7, 0, 0.84, 0); +$easeOutExpo: cubic-bezier(0.16, 1, 0.3, 1); +$easeInOutExpo: cubic-bezier(0.87, 0, 0.13, 1); +$easeInBack: cubic-bezier(0.36, 0, 0.66, -0.56); +$easeOutBack: cubic-bezier(0.34, 1.56, 0.64, 1); +$easeInOutBack: cubic-bezier(0.68, -0.6, 0.32, 1.6); +@mixin easeInBounce { + @keyframes scale-easeInBounce { + 0% { + transform: scale(1); + } + + 4% { + transform: scale(0.98); + } + + 8% { + transform: scale(0.99); + } + + 18% { + transform: scale(0.94); + } + + 26% { + transform: scale(0.98); + } + + 46% { + transform: scale(0.75); + } + + 64% { + transform: scale(0.98); + } + + 76% { + transform: scale(0.44); + } + + 88% { + transform: scale(0.11); + } + + 100% { + transform: scale(0); + } + } + @keyframes undefined-easeInBounce { + 0% { + transform: translateX(0%); + } + + 4% { + transform: translateX(-1.54%); + } + + 8% { + transform: translateX(-0.66%); + } + + 18% { + transform: translateX(-6.25%); + } + + 26% { + transform: translateX(-1.63%); + } + + 46% { + transform: translateX(-24.98%); + } + + 64% { + transform: translateX(-1.99%); + } + + 76% { + transform: translateX(-56.44%); + } + + 88% { + transform: translateX(-89.11%); + } + + 100% { + transform: translateX(-100%); + } + } + @keyframes opacity-easeInBounce { + 0% { + opacity: 1; + } + + 4% { + opacity: 0.98; + } + + 8% { + opacity: 0.99; + } + + 18% { + opacity: 0.94; + } + + 26% { + opacity: 0.98; + } + + 46% { + opacity: 0.75; + } + + 64% { + opacity: 0.98; + } + + 76% { + opacity: 0.44; + } + + 88% { + opacity: 0.11; + } + + 100% { + opacity: 0; + } + } +} +@mixin easeOutBounce { + @keyframes scale-easeOutBounce { + 0% { + transform: scale(1); + } + + 12% { + transform: scale(0.89); + } + + 24% { + transform: scale(0.56); + } + + 36% { + transform: scale(0.02); + } + + 54% { + transform: scale(0.25); + } + + 74% { + transform: scale(0.02); + } + + 82% { + transform: scale(0.06); + } + + 92% { + transform: scale(0.01); + } + + 96% { + transform: scale(0.02); + } + + 100% { + transform: scale(0); + } + } + @keyframes undefined-easeOutBounce { + 0% { + transform: translateX(0%); + } + + 12% { + transform: translateX(-10.89%); + } + + 24% { + transform: translateX(-43.56%); + } + + 36% { + transform: translateX(-98.01%); + } + + 54% { + transform: translateX(-75.02%); + } + + 74% { + transform: translateX(-98.37%); + } + + 82% { + transform: translateX(-93.75%); + } + + 92% { + transform: translateX(-99.34%); + } + + 96% { + transform: translateX(-98.46%); + } + + 100% { + transform: translateX(-100%); + } + } + @keyframes opacity-easeOutBounce { + 0% { + opacity: 1; + } + + 12% { + opacity: 0.89; + } + + 24% { + opacity: 0.56; + } + + 36% { + opacity: 0.02; + } + + 54% { + opacity: 0.25; + } + + 74% { + opacity: 0.02; + } + + 82% { + opacity: 0.06; + } + + 92% { + opacity: 0.01; + } + + 96% { + opacity: 0.02; + } + + 100% { + opacity: 0; + } + } +} +@mixin easeInOutBounce { + @keyframes scale-easeInOutBounce { + 0% { + transform: scale(1); + } + + 2% { + transform: scale(0.99); + } + + 4% { + transform: scale(1); + } + + 10% { + transform: scale(0.97); + } + + 14% { + transform: scale(0.99); + } + + 22% { + transform: scale(0.88); + } + + 32% { + transform: scale(0.99); + } + + 42% { + transform: scale(0.6); + } + + 50% { + transform: scale(0.5); + } + + 58% { + transform: scale(0.4); + } + + 68% { + transform: scale(0.01); + } + + 78% { + transform: scale(0.12); + } + + 86% { + transform: scale(0.01); + } + + 90% { + transform: scale(0.03); + } + + 96% { + transform: scale(0); + } + + 98% { + transform: scale(0.01); + } + + 100% { + transform: scale(0); + } + } + @keyframes undefined-easeInOutBounce { + 0% { + transform: translateX(0%); + } + + 2% { + transform: translateX(-0.77%); + } + + 4% { + transform: translateX(-0.33%); + } + + 10% { + transform: translateX(-3%); + } + + 14% { + transform: translateX(-0.98%); + } + + 22% { + transform: translateX(-12.42%); + } + + 32% { + transform: translateX(-1%); + } + + 42% { + transform: translateX(-40.32%); + } + + 50% { + transform: translateX(-50%); + } + + 58% { + transform: translateX(-59.68%); + } + + 68% { + transform: translateX(-99.01%); + } + + 78% { + transform: translateX(-87.58%); + } + + 86% { + transform: translateX(-99.02%); + } + + 90% { + transform: translateX(-97%); + } + + 96% { + transform: translateX(-99.67%); + } + + 98% { + transform: translateX(-99.23%); + } + + 100% { + transform: translateX(-100%); + } + } + @keyframes opacity-easeInOutBounce { + 0% { + opacity: 1; + } + + 2% { + opacity: 0.99; + } + + 4% { + opacity: 1; + } + + 10% { + opacity: 0.97; + } + + 14% { + opacity: 0.99; + } + + 22% { + opacity: 0.88; + } + + 32% { + opacity: 0.99; + } + + 42% { + opacity: 0.6; + } + + 50% { + opacity: 0.5; + } + + 58% { + opacity: 0.4; + } + + 68% { + opacity: 0.01; + } + + 78% { + opacity: 0.12; + } + + 86% { + opacity: 0.01; + } + + 90% { + opacity: 0.03; + } + + 96% { + opacity: 0; + } + + 98% { + opacity: 0.01; + } + + 100% { + opacity: 0; + } + } +} diff --git a/css/global.scss b/css/global.scss new file mode 100644 index 00000000..b55c16b2 --- /dev/null +++ b/css/global.scss @@ -0,0 +1,220 @@ +@use "./index.scss" as *; + +:root { + /*=============================================== + ①liquid design + ===============================================*/ + --liquid-lgDesignRatio: #{$lg-design-width}; + --liquid-mdDesignRatio: #{$md-design-width}; + --liquid-smDesignRatio: #{$sm-design-width}; + --liquid-htmlroot: calc(100vw / var(--liquid-lgDesignRatio)); + --liquid-bodyroot: 16rem; + + @include mq(md) { + --liquid-htmlroot: calc(100vw / var(--liquid-mdDesignRatio)); + } + + @include mq(sm) { + --liquid-htmlroot: calc(100vw / var(--liquid-smDesignRatio)); + } + + /*=============================================== + ②solid design + ===============================================*/ + --solid-root: 16px; + + /*=============================================== + ③mobilefirst design + ===============================================*/ + --mobile-DesignWidth: #{$mobile-design-width}; + --mobile-ContentsWidth: #{$mobile-design-width}; + --mobile-ContentsRatio: var(--mobile-ContentsWidth) / + var(--mobile-DesignWidth); + --mobile-root: min( + 16px * var(--mobile-ContentsRatio), + 16 * 100 / var(--mobile-DesignWidth) * 1vw + ); + + /*=============================================== + css vars + ===============================================*/ + --z-index-header: 9999; + --z-index-menu: 10000; + --z-index-menuButton: 10001; + --header-height: 80rem; +} + +/*=============================================== +html body +===============================================*/ + +* { + padding: 0; + margin: 0; +} + +html, +body { + max-width: 100vw; +} + +body { + background-color: $color-bg; + color: $color-txt; + line-height: $leading-none; + transition: opacity #{$duration-standardAccelerate + "s"} ease-in-out; + font-style: normal; + font-weight: normal; + overflow-wrap: break-word; + font-feature-settings: "palt"; + letter-spacing: 0; + overscroll-behavior-y: none; +} + +html { + -webkit-tap-highlight-color: rgba(0, 0, 0, 0); + scroll-behavior: auto; + scrollbar-gutter: stable; + user-select: none; + // Disabling pinch improves performance in WebGL projects. + touch-action: pan-x pan-y; + + //liquid + @if $designRoot==1 { + font-size: var(--liquid-htmlroot); + + body { + font-size: var(--liquid-bodyroot); + } + } + + //solid + @else if $designRoot==2 { + font-size: var(--solid-root); + } + + //mobile + @else if $designRoot==3 { + font-size: var(--mobile-root); + } +} + +//set opacity to 1 after font is loaded +html.fonts-loaded body { + opacity: 1 !important; +} + +/*=============================================== +UI +===============================================*/ +a, +button { + display: block; + border: none; + outline: none; + text-decoration: none; + background: none; + > * { + pointer-events: none; + } + + &:focus:not(:fous-visible) { + outline: none; + } + + img { + border: none; + } +} + +a, +button, +input, +label, +textarea, +select { + color: inherit; + pointer-events: auto; + cursor: pointer; + @media (hover: none) { + -webkit-tap-highlight-color: rgba(0, 0, 0, 0); + } + + &:focus-visible { + outline: $color-key solid 2px; + + @media (hover: none) { + outline: none; + } + } +} + +img { + border: 0; + height: auto; + pointer-events: none; + vertical-align: middle; + width: 100%; +} + +picture { + display: block; +} + +iframe { + width: 100%; +} + +ul, +ol, +li { + list-style: none; +} + +svg { + overflow: visible; +} + +/*=============================================== +br +===============================================*/ +br { + &.lg { + @include mq(md) { + display: none; + } + } + &.lgmd { + @include mq(sm) { + display: none; + } + } + &.mdsm { + display: none; + @include mq(md) { + display: block; + } + } + &.md { + display: none; + @include mq(md) { + display: block; + } + @include mq(sm) { + display: none; + } + } + &.sm { + display: none; + @include mq(sm) { + display: block; + } + } +} + +/*=============================================== +gui +===============================================*/ +.lil-gui { + right: 0 !important; +} diff --git a/css/index.scss b/css/index.scss new file mode 100644 index 00000000..6e2ce30c --- /dev/null +++ b/css/index.scss @@ -0,0 +1,205 @@ +@use "sass:math"; +@use "./easing.scss" as *; + +/*=============================================== +designRoot +===============================================*/ +$designRoot: 1; +// device +$sm-device: 560px; +$md-device: 960px; +$lg-device: 1200px; +$lg-design-width: 1440; +$md-design-width: 750; +$sm-design-width: 375; +$lg-design-height: 780; +$sm-design-height: 812; +$mobile-design-width: 750; + +/*=============================================== +unit +===============================================*/ +$unit: inherit; + +//unit +@if $designRoot==1 { + $unit: rem; +} @else { + $unit: px; +} + +/*=============================================== +duration +===============================================*/ +$duration-strong: 1.2s; +$duration-strongDecelerate: 1s; +$duration-strongAccelerate: 0.8s; +$duration-emphasized: 0.5s; +$duration-emphasizedDecelerate: 0.4s; +$duration-emphasizedAccelerate: 0.2s; +$duration-standard: 0.3s; +$duration-standardDecelerate: 0.25s; +$duration-standardAccelerate: 0.2s; + +/*=============================================== +spacing +===============================================*/ +$spacing-0: if($designRoot==1, 0, 0); +$spacing-half: if($designRoot==1, 8rem, 8px); +$spacing-mini: if($designRoot==1, 12rem, 12px); +$spacing-1: if($designRoot==1, 16rem, 16px); +$spacing-2: if($designRoot==1, 24rem, 24px); +$spacing-3: if($designRoot==1, 32rem, 32px); +$spacing-4: if($designRoot==1, 40rem, 40px); +$spacing-4half: if($designRoot==1, 48rem, 48px); +$spacing-5: if($designRoot==1, 56rem, 56px); +$spacing-6: if($designRoot==1, 64rem, 64px); +$spacing-7: if($designRoot==1, 72rem, 72px); +$spacing-8: if($designRoot==1, 80rem, 80px); +$spacing-8half: if($designRoot==1, 88rem, 88px); +$spacing-9: if($designRoot==1, 96rem, 96px); +$spacing-10: if($designRoot==1, 104rem, 104px); +$spacing-11: if($designRoot==1, 112rem, 112px); +$spacing-12: if($designRoot==1, 120rem, 120px); + +/*=============================================== +inner +===============================================*/ +$inner-outer: 1360rem; +$inner-wide: 1280rem; +$inner-default: 1128rem; +$inner-narrow: 960rem; +$inner-padding: $spacing-3; + +/*=============================================== +font +===============================================*/ +// line-height @include lineHeightCrop($leading-loose); +$leading-none: 1 !default; +$leading-x-tight: 1.1 !default; +$leading-tight: 1.3 !default; +$leading-snug: 1.6 !default; +$leading-normal: 1.7 !default; +$leading-relaxed: 1.8 !default; +$leading-loose: 2 !default; +$leading-x-loose: 2.2 !default; + +/*=============================================== +color +===============================================*/ +//brandColor +$color-line: #00c300; +$color-yahoo: #ff0027; +$color-twitter: #1da1f2; +$color-facebook: #3b5998; +$color-insta: #e1306c; +$FunTech: #b84f0a; + +//colorRegulation +$color-txt: #ffffff; +$color-key: #b84f0a; +$color-bg: #000000; +$color-grey0: #111111; +$color-grey1: #222222; +$color-grey2: #a5a5a5; +$color-grey3: #d9d9d9; +$color-grey4: #1e1e1e; +$color-grey5: #121212; + +/*=============================================== +Media Query +===============================================*/ +$breakpoints: ( + "sm": "screen and (max-width:" $sm-device ")", + "md": "screen and (max-width:" $md-device ")", + "lg": "screen and (max-width:" $lg-device ")", +) !default; + +@mixin mq($breakpoint) { + @media #{map-get($breakpoints, $breakpoint)} { + @content; + } +} + +/*=============================================== +Disable hover effects when on mobile +If $parent is set, hover can be specified for the parent element. +===============================================*/ +@mixin hover($parent: null) { + @media (hover: none) { + -webkit-tap-highlight-color: rgba(0, 0, 0, 0); + } + + @media (-ms-high-contrast: none), + (-ms-high-contrast: active), + (-moz-touch-enabled: 0), + (hover: hover) { + @if $parent == null { + &:hover, + &:focus-visible { + @content; + } + } @else { + #{$parent}:hover &, + #{$parent}:focus-visible & { + @content; + } + } + } +} + +/*=============================================== +transition +power1 : quad +power2 : cubic +power3 : quart +power4 : quint +===============================================*/ +@mixin transition($dur: all $duration-standard) { + transition: $dur; + transition-timing-function: $easeOutQuart; +} + +/*=============================================== +placeholder +===============================================*/ + +@mixin placeholder($color) { + &::placeholder { + color: $color; + } + + &:-ms-input-placeholder { + color: $color; + } + + &::-ms-input-placeholder { + color: $color; + } +} + +/*=============================================== +background image +===============================================*/ +@mixin bg_img_cover { + background-repeat: no-repeat; + background-size: cover; + background-position: center; +} + +@mixin bg_img_contain { + background-repeat: no-repeat; + background-size: contain; + background-position: center; +} + +/*=============================================== +fill +===============================================*/ +@mixin fill { + position: absolute; + width: 100%; + height: 100%; + inset: 0; + color: transparent; +} diff --git a/css/reset.css b/css/reset.css new file mode 100644 index 00000000..81a6468c --- /dev/null +++ b/css/reset.css @@ -0,0 +1,116 @@ +/*** + The new CSS reset - version 1.11.2 (last updated 15.11.2023) + GitHub page: https://github.com/elad2412/the-new-css-reset +***/ + +/* + Remove all the styles of the "User-Agent-Stylesheet", except for the 'display' property + - The "symbol *" part is to solve Firefox SVG sprite bug + - The "html" element is excluded, otherwise a bug in Chrome breaks the CSS hyphens property (https://github.com/elad2412/the-new-css-reset/issues/36) + */ +*:where( + :not(html, iframe, canvas, img, svg, video, audio):not(svg *, symbol *) + ) { + all: unset; + display: revert; +} + +/* Preferred box-sizing value */ +*, +*::before, +*::after { + box-sizing: border-box; +} + +/* Fix mobile Safari increase font-size on landscape mode */ +html { + -moz-text-size-adjust: none; + -webkit-text-size-adjust: none; + text-size-adjust: none; +} + +/* Reapply the pointer cursor for anchor tags */ +a, +button { + cursor: revert; +} + +/* Remove list styles (bullets/numbers) */ +ol, +ul, +menu, +summary { + list-style: none; +} + +/* For images to not be able to exceed their container */ +img { + max-inline-size: 100%; + max-block-size: 100%; +} + +/* removes spacing between cells in tables */ +table { + border-collapse: collapse; +} + +/* Safari - solving issue when using user-select:none on the <body> text input doesn't working */ +input, +textarea { + -webkit-user-select: auto; +} + +/* revert the 'white-space' property for textarea elements on Safari */ +textarea { + white-space: revert; +} + +/* minimum style to allow to style meter element */ +meter { + -webkit-appearance: revert; + appearance: revert; +} + +/* preformatted text - use only for this feature */ +:where(pre) { + all: revert; + box-sizing: border-box; +} + +/* reset default text opacity of input placeholder */ +::placeholder { + color: unset; +} + +/* fix the feature of 'hidden' attribute. + display:revert; revert to element instead of attribute */ +:where([hidden]) { + display: none; +} + +/* revert for bug in Chromium browsers + - fix for the content editable attribute will work properly. + - webkit-user-select: auto; added for Safari in case of using user-select:none on wrapper element*/ +:where([contenteditable]:not([contenteditable="false"])) { + -moz-user-modify: read-write; + -webkit-user-modify: read-write; + overflow-wrap: break-word; + -webkit-line-break: after-white-space; + -webkit-user-select: auto; +} + +/* apply back the draggable feature - exist only in Chromium and Safari */ +:where([draggable="true"]) { + -webkit-user-drag: element; +} + +/* Revert Modal native behavior */ +:where(dialog:modal) { + all: revert; + box-sizing: border-box; +} + +/* Remove details summary webkit styles */ +::-webkit-details-marker { + display: none; +} diff --git a/next.config.js b/next.config.js index 91cccabe..aff03425 100644 --- a/next.config.js +++ b/next.config.js @@ -1,14 +1,20 @@ /** @type {import('next').NextConfig} */ +const path = require("path"); const nextConfig = { - // basePath: "/takuma/out", - // output: "export", - webpack: (config, { isServer }) => { + webpack: (config) => { // GLSLファイル用のルールを追加 config.module.rules.push({ test: /\.(glsl|vs|fs|vert|frag)$/, exclude: /node_modules/, use: ["raw-loader", "glslify-loader"], }); + + // project rootのthreeを参照するように設定 + config.resolve.alias = { + ...config.resolve.alias, + three: path.resolve(__dirname, "node_modules/three"), + }; + return config; }, }; diff --git a/package-lock.json b/package-lock.json index 643f5416..64fa46d0 100644 --- a/package-lock.json +++ b/package-lock.json @@ -8,9 +8,9 @@ "name": "use-shader-fx", "version": "0.1.0", "dependencies": { - "@funtech-inc/spice": "^1.2.18", - "@react-three/drei": "^9.105.6", - "@react-three/fiber": "^8.16.6", + "@funtech-inc/spice": "^1.2.113", + "@react-three/drei": "^9.122.0", + "@react-three/fiber": "^8.18.0", "@types/node": "20.5.6", "@types/react": "18.2.21", "@types/react-dom": "18.2.7", @@ -19,15346 +19,3931 @@ "eslint-config-next": "13.4.19", 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"@types/react": ">=16.8", - "immer": ">=9.0", - "react": ">=16.8" + "@types/react": ">=18.0.0", + "immer": ">=9.0.6", + "react": ">=18.0.0", + "use-sync-external-store": ">=1.2.0" }, "peerDependenciesMeta": { "@types/react": { @@ -18025,6 +6423,9 @@ }, "react": { "optional": true + }, + "use-sync-external-store": { + "optional": true } } } diff --git a/package.json b/package.json index ea0a7a1e..8ead98bc 100644 --- a/package.json +++ b/package.json @@ -13,9 +13,9 @@ "create-fx": "git clone https://github.com/takuma-hmng8/CreateShaderFx" }, "dependencies": { - "@funtech-inc/spice": "^1.2.18", - "@react-three/drei": "^9.105.6", - "@react-three/fiber": "^8.16.6", + "@funtech-inc/spice": "^1.2.113", + "@react-three/drei": "^9.122.0", + "@react-three/fiber": "^8.18.0", "@types/node": "20.5.6", "@types/react": "18.2.21", "@types/react-dom": "18.2.7", @@ -24,31 +24,16 @@ "eslint-config-next": "13.4.19", "glslify-loader": "^2.0.0", "gsap": "^3.12.2", - "meshline": "^3.1.6", - "next": "^14.2.3", + "next": "^14.2.16", "raw-loader": "^4.0.2", - "react": "18.2.0", - "react-dom": "18.2.0", + "react": "^18.2.0", + "react-dom": "^18.2.0", "sass": "^1.66.1", "the-new-css-reset": "^1.9.0", - "three": "^0.164.1", - "three-custom-shader-material": "^5.4.0", - "three-stdlib": "^2.26.6", - "typescript": "5.2.2", - "zustand": "^4.4.1" + "typescript": "5.2.2" }, "devDependencies": { - "@storybook/addon-essentials": "^7.5.3", - "@storybook/addon-interactions": "^7.5.3", - "@storybook/addon-links": "^7.5.3", - "@storybook/addon-onboarding": "^1.0.8", - "@storybook/blocks": "^7.5.3", - "@storybook/nextjs": "^7.5.3", - "@storybook/react": "^7.5.3", - "@storybook/testing-library": "^0.2.2", - "eslint-plugin-storybook": "^0.6.15", "lil-gui": "^0.18.2", - "r3f-perf": "^7.1.2", - "storybook": "^7.5.3" + "r3f-perf": "^7.1.2" } } diff --git a/packages/use-shader-fx/build/use-shader-fx.js b/packages/use-shader-fx/build/use-shader-fx.js index 726d0fa2..8c34b162 100644 --- a/packages/use-shader-fx/build/use-shader-fx.js +++ b/packages/use-shader-fx/build/use-shader-fx.js @@ -1,4304 +1,1957 @@ import * as o from "three"; -import { useMemo as y, useEffect as Z, useRef as B, useCallback as _, useState as Be } from "react"; -import { mergeVertices as Ee } from "three-stdlib"; -var Le = "#usf <planeVertex>", $e = `precision highp float; - -uniform sampler2D uBuffer; -uniform sampler2D uTexture; -uniform bool uIsTexture; -uniform sampler2D uMap; -uniform bool uIsMap; -uniform float uMapIntensity; -uniform float uRadius; -uniform float uDissipation; -uniform vec2 uResolution; -uniform float uSmudge; -uniform vec2 uMouse; -uniform vec2 uPrevMouse; -uniform vec2 uVelocity; -uniform vec3 uColor; -uniform float uMotionBlur; -uniform int uMotionSample; -uniform bool uIsCursor; -uniform float uPressureStart; -uniform float uPressureEnd; - -varying vec2 vUv; - -float isOnLine(vec2 point, vec2 start, vec2 end, float radius, float pressureStart, float pressureEnd) { - - float aspect = uResolution.x / uResolution.y; - - point.x *= aspect; - start.x *= aspect; - end.x *= aspect; - - vec2 dir = normalize(end - start); - vec2 n = vec2(dir.y, -dir.x); - vec2 p0 = point - start; - - float distToLine = abs(dot(p0, n)); - float distAlongLine = dot(p0, dir); - float totalLength = length(end - start); - - float progress = clamp(distAlongLine / totalLength, 0.0, 1.0); - float pressure = mix(pressureStart, pressureEnd, progress); - radius = min(radius,radius * pressure); - - float distFromStart = length(point - start); - float distFromEnd = length(point - end); - - bool withinLine = (distToLine < radius && distAlongLine > 0.0 && distAlongLine < totalLength) || distFromStart < radius || distFromEnd < radius; - - return float(withinLine); -} - -vec4 createSmudge(vec2 uv){ - vec2 offsets[9]; - offsets[0] = vec2(-1, -1); offsets[1] = vec2( 0, -1); offsets[2] = vec2( 1, -1); - offsets[3] = vec2(-1, 0); offsets[4] = vec2( 0, 0); offsets[5] = vec2( 1, 0); - offsets[6] = vec2(-1, 1); offsets[7] = vec2( 0, 1); offsets[8] = vec2( 1, 1); - - for(int i = 0; i < 9; i++) { - offsets[i] = (offsets[i] * uSmudge) / uResolution; - } - vec4 smudgedColor = vec4(0.); - for(int i = 0; i < 9; i++) { - smudgedColor += texture2D(uBuffer, uv + offsets[i]); - } - return smudgedColor / 9.0; -} - -vec4 createMotionBlur(vec2 uv , vec4 baseColor, vec2 velocity) { - vec2 scaledV = velocity * uMotionBlur; - for(int i = 1; i < uMotionSample; i++) { - float t = float(i) / float(uMotionSample - 1); - vec2 offset = t * scaledV / uResolution; - baseColor += texture2D(uBuffer, uv + offset); - } - return baseColor / float(uMotionSample); -} - -void main() { - - vec2 uv = vUv; - if(uIsMap){ - vec2 mapColor = texture2D(uMap, uv).rg; - vec2 normalizedMap = mapColor * 2.0 - 1.0; - uv = uv * 2.0 - 1.0; - uv *= mix(vec2(1.0), abs(normalizedMap.rg), uMapIntensity); - uv = (uv + 1.0) / 2.0; - } - vec2 suv = uv*2.-1.; - - vec2 velocity = uVelocity * uResolution; - - float radius = max(0.0,uRadius); - - vec4 smudgedColor = uSmudge > 0. ? createSmudge(uv) : texture2D(uBuffer, uv); - - vec4 motionBlurredColor = uMotionBlur > 0. ? createMotionBlur(uv,smudgedColor, velocity) : smudgedColor; - - vec4 bufferColor = motionBlurredColor; - bufferColor.a = bufferColor.a < 1e-10 ? 0.0 : bufferColor.a * uDissipation; - - vec4 brushColor = uIsTexture ? texture2D(uTexture, uv) : vec4(uColor,1.); - - float onLine = isOnLine(suv, uPrevMouse, uMouse, radius, uPressureStart,uPressureEnd); - float isOnLine = length(velocity) > 0. ? onLine : uIsCursor ? onLine : 0.; - - vec4 finalColor = mix(bufferColor, brushColor, isOnLine); - - gl_FragColor = finalColor; -}`; -const K = (e, t = !1) => { - const n = t ? e.width * t : e.width, r = t ? e.height * t : e.height; - return y( - () => new o.Vector2(n, r), - [n, r] - ); -}, R = (e) => (t, n) => { - if (n === void 0) - return; - const r = e.uniforms; - r && r[t] && (r[t].value = n); -}, F = (e) => (t) => { - t !== void 0 && Object.keys(t).forEach((n) => { - const r = e.uniforms; - r && r[n] && (r[n].value = t[n]); - }); -}, E = (e, t, n, r) => { - const s = y(() => { - const l = new r(t, n); - return e && e.add(l), l; - }, [t, n, r, e]); - return Z(() => () => { - e && e.remove(s), t.dispose(), n.dispose(); - }, [e, t, n, s]), s; -}, Re = process.env.NODE_ENV === "development", I = { - transparent: !1, - depthTest: !1, - depthWrite: !1 -}, w = new o.DataTexture( - new Uint8Array([0, 0, 0, 0]), - 1, - 1, - o.RGBAFormat -); -var je = `vec4 permute(vec4 x){return mod(((x*34.0)+1.0)*x, 289.0);} -float permute(float x){return floor(mod(((x*34.0)+1.0)*x, 289.0));} -vec4 taylorInvSqrt(vec4 r){return 1.79284291400159 - 0.85373472095314 * r;} -float taylorInvSqrt(float r){return 1.79284291400159 - 0.85373472095314 * r;} - -vec4 grad4(float j, vec4 ip) -{ - const vec4 ones = vec4(1.0, 1.0, 1.0, -1.0); - vec4 p,s; - - p.xyz = floor( fract (vec3(j) * ip.xyz) * 7.0) * ip.z - 1.0; - p.w = 1.5 - dot(abs(p.xyz), ones.xyz); - s = vec4(lessThan(p, vec4(0.0))); - p.xyz = p.xyz + (s.xyz*2.0 - 1.0) * s.www; - - return p; -} - -float simplexNoise4d(vec4 v) -{ - const vec2 C = vec2( 0.138196601125010504, - 0.309016994374947451); - - vec4 i = floor(v + dot(v, C.yyyy) ); - vec4 x0 = v - i + dot(i, C.xxxx); - - - - - vec4 i0; - - vec3 isX = step( x0.yzw, x0.xxx ); - vec3 isYZ = step( x0.zww, x0.yyz ); - - i0.x = isX.x + isX.y + isX.z; - i0.yzw = 1.0 - isX; - - - i0.y += isYZ.x + isYZ.y; - i0.zw += 1.0 - isYZ.xy; - - i0.z += isYZ.z; - i0.w += 1.0 - isYZ.z; - - - vec4 i3 = clamp( i0, 0.0, 1.0 ); - vec4 i2 = clamp( i0-1.0, 0.0, 1.0 ); - vec4 i1 = clamp( i0-2.0, 0.0, 1.0 ); - - - vec4 x1 = x0 - i1 + 1.0 * C.xxxx; - vec4 x2 = x0 - i2 + 2.0 * C.xxxx; - vec4 x3 = x0 - i3 + 3.0 * C.xxxx; - vec4 x4 = x0 - 1.0 + 4.0 * C.xxxx; - - - i = mod(i, 289.0); - float j0 = permute( permute( permute( permute(i.w) + i.z) + i.y) + i.x); - vec4 j1 = permute( permute( permute( permute ( - i.w + vec4(i1.w, i2.w, i3.w, 1.0 )) - + i.z + vec4(i1.z, i2.z, i3.z, 1.0 )) - + i.y + vec4(i1.y, i2.y, i3.y, 1.0 )) - + i.x + vec4(i1.x, i2.x, i3.x, 1.0 )); - - - - - vec4 ip = vec4(1.0/294.0, 1.0/49.0, 1.0/7.0, 0.0) ; - - vec4 p0 = grad4(j0, ip); - vec4 p1 = grad4(j1.x, ip); - vec4 p2 = grad4(j1.y, ip); - vec4 p3 = grad4(j1.z, ip); - vec4 p4 = grad4(j1.w, ip); - - - vec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3))); - p0 *= norm.x; - p1 *= norm.y; - p2 *= norm.z; - p3 *= norm.w; - p4 *= taylorInvSqrt(dot(p4,p4)); - - - vec3 m0 = max(0.6 - vec3(dot(x0,x0), dot(x1,x1), dot(x2,x2)), 0.0); - vec2 m1 = max(0.6 - vec2(dot(x3,x3), dot(x4,x4) ), 0.0); - m0 = m0 * m0; - m1 = m1 * m1; - return 49.0 * ( dot(m0*m0, vec3( dot( p0, x0 ), dot( p1, x1 ), dot( p2, x2 ))) - + dot(m1*m1, vec2( dot( p3, x3 ), dot( p4, x4 ) ) ) ) ; - -} - -float getWobble(vec3 position) -{ - vec3 warpedPosition = position; - warpedPosition += simplexNoise4d( - vec4( - position * uWarpPositionFrequency, - uTime * uWarpTimeFrequency - ) - ) * uWarpStrength; - - return simplexNoise4d(vec4( - warpedPosition * uWobblePositionFrequency, - uTime * uWobbleTimeFrequency - )) * uWobbleStrength; -}`, qe = `vec3 random3(vec3 c) { - float j = 4096.0*sin(dot(c,vec3(17.0, 59.4, 15.0))); - vec3 r; - r.z = fract(512.0*j); - j *= .125; - r.x = fract(512.0*j); - j *= .125; - r.y = fract(512.0*j); - return r-0.5; -} - -const float F3 = 0.3333333; -const float G3 = 0.1666667; - -float snoise(vec3 p) { - - vec3 s = floor(p + dot(p, vec3(F3))); - vec3 x = p - s + dot(s, vec3(G3)); - - vec3 e = step(vec3(0.0), x - x.yzx); - vec3 i1 = e*(1.0 - e.zxy); - vec3 i2 = 1.0 - e.zxy*(1.0 - e); - - vec3 x1 = x - i1 + G3; - vec3 x2 = x - i2 + 2.0*G3; - vec3 x3 = x - 1.0 + 3.0*G3; - - vec4 w, d; - - w.x = dot(x, x); - w.y = dot(x1, x1); - w.z = dot(x2, x2); - w.w = dot(x3, x3); - - w = max(0.6 - w, 0.0); - - d.x = dot(random3(s), x); - d.y = dot(random3(s + i1), x1); - d.z = dot(random3(s + i2), x2); - d.w = dot(random3(s + 1.0), x3); - - w *= w; - w *= w; - d *= w; - - return dot(d, vec4(52.0)); -} - -float snoiseFractal(vec3 m) { - return 0.5333333* snoise(m) - +0.2666667* snoise(2.0*m) - +0.1333333* snoise(4.0*m) - +0.0666667* snoise(8.0*m); -}`, We = `float screenAspect = uResolution.x / uResolution.y; -float textureAspect = uTextureResolution.x / uTextureResolution.y; -vec2 aspectRatio = vec2( - min(screenAspect / textureAspect, 1.0), - min(textureAspect / screenAspect, 1.0) -); -vec2 uv = vUv * aspectRatio + (1.0 - aspectRatio) * .5;`, Ne = `vec3 mapColor = texture2D(uMap, uv).rgb; -vec3 normalizedMap = mapColor * 2.0 - 1.0; - -uv = uv * 2.0 - 1.0; -uv *= mix(vec2(1.0), abs(normalizedMap.rg), uMapIntensity); -uv = (uv + 1.0) / 2.0;`, ke = `precision highp float; - -varying vec2 vUv; - -void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); -}`, Ge = `varying vec2 vUv; - -void main() { - vUv = uv; - gl_Position = projectionMatrix * modelViewMatrix * vec4(position, 1.0); -}`, Ke = `vec3 hsv2rgb(vec3 c) -{ - vec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0); - vec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www); - return c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y); -}`, He = `vec3 rgb2hsv(vec3 c) -{ - vec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0); - vec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, K.xy), step(c.b, c.g)); - vec4 q = mix(vec4(p.xyw, c.r), vec4(c.r, p.yzx), step(p.x, c.r)); - - float d = q.x - min(q.w, q.y); - float e = 1.0e-10; - return vec3(abs(q.z + (q.w - q.y) / (6.0 * d + e)), d / (q.x + e), q.x); -}`; -const Xe = Object.freeze({ - wobble3D: je, - snoise: qe, - coverTexture: We, - fxBlending: Ne, - planeVertex: ke, - defaultVertex: Ge, - hsv2rgb: Ke, - rgb2hsv: He -}), Ye = /^[ \t]*#usf +<([\w\d./]+)>/gm; -function Qe(e, t) { - return ye(Xe[t] || ""); -} -function ye(e) { - return e.replace(Ye, Qe); -} -const V = (e, t) => (t && t(e), e.vertexShader = ye(e.vertexShader), e.fragmentShader = ye(e.fragmentShader), e), Ze = ({ - scene: e, - size: t, - dpr: n, - onBeforeInit: r -}) => { - const s = y(() => new o.PlaneGeometry(2, 2), []), l = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uBuffer: { value: w }, - uResolution: { value: new o.Vector2(0, 0) }, - uTexture: { value: w }, - uIsTexture: { value: !1 }, - uMap: { value: w }, - uIsMap: { value: !1 }, - uMapIntensity: { value: re.mapIntensity }, - uRadius: { value: re.radius }, - uSmudge: { value: re.smudge }, - uDissipation: { value: re.dissipation }, - uMotionBlur: { value: re.motionBlur }, - uMotionSample: { value: re.motionSample }, - uMouse: { value: new o.Vector2(-10, -10) }, - uPrevMouse: { value: new o.Vector2(-10, -10) }, - uVelocity: { value: new o.Vector2(0, 0) }, - uColor: { value: re.color }, - uIsCursor: { value: !1 }, - uPressureStart: { value: 1 }, - uPressureEnd: { value: 1 } - }, - vertexShader: Le, - fragmentShader: $e - }, - r - ), - ...I, - // Must be transparent - transparent: !0 - }), [r]), c = K(t, n); - R(l)("uResolution", c.clone()); - const i = E(e, s, l, o.Mesh); - return { material: l, mesh: i }; -}, Je = (e, t) => { - const n = t, r = e / t, [s, l] = [n * r / 2, n / 2]; - return { width: s, height: l, near: -1e3, far: 1e3 }; -}, L = (e, t = "OrthographicCamera") => { - const n = K(e), { width: r, height: s, near: l, far: c } = Je( - n.x, - n.y - ); - return y(() => t === "OrthographicCamera" ? new o.OrthographicCamera( - -r, - r, - s, - -s, - l, - c - ) : new o.PerspectiveCamera(50, r / s), [r, s, l, c, t]); -}, Se = (e = 0) => { - const t = B(new o.Vector2(0, 0)), n = B(new o.Vector2(0, 0)), r = B(new o.Vector2(0, 0)), s = B(0), l = B(new o.Vector2(0, 0)), c = B(!1); - return _( - (d) => { - const p = performance.now(); - let f; - c.current && e ? (r.current = r.current.lerp( - d, - 1 - e - ), f = r.current.clone()) : (f = d.clone(), r.current = f), s.current === 0 && (s.current = p, t.current = f); - const x = Math.max(1, p - s.current); - s.current = p, l.current.copy(f).sub(t.current).divideScalar(x); - const a = l.current.length() > 0, v = c.current ? t.current.clone() : f; - return !c.current && a && (c.current = !0), t.current = f, { - currentPointer: f, - prevPointer: v, - diffPointer: n.current.subVectors(f, v), - velocity: l.current, - isVelocityUpdate: a - }; - }, - [e] - ); -}, j = (e) => { - const n = B( - ((s) => Object.values(s).some((l) => typeof l == "function"))(e) ? e : structuredClone(e) - ), r = _((s) => { - if (s !== void 0) - for (const l in s) { - const c = l; - c in n.current && s[c] !== void 0 && s[c] !== null ? n.current[c] = s[c] : console.error( - `"${String( - c - )}" does not exist in the params. or "${String( - c - )}" is null | undefined` - ); - } - }, []); - return [n.current, r]; -}, he = { +import { useState as E, useEffect as K, useCallback as h, useRef as T } from "react"; +const R = (e) => typeof e == "number" ? { shader: e, fbo: e } : { + shader: e.shader ?? !1, + fbo: e.fbo ?? !1 +}, N = (e, t = !1) => { + const r = t ? e.width * t : e.width, a = t ? e.height * t : e.height, [n] = E(() => new o.Vector2(r, a)); + return n.set(r, a), n; +}, De = (e, t) => { + const r = t, a = e / t, [n, i] = [r * a / 2, r / 2]; + return { width: n, height: i, near: -1e3, far: 1e3 }; +}, be = (e, t = "OrthographicCamera") => { + const r = N(e), { width: a, height: n, near: i, far: s } = De( + r.x, + r.y + ), [c] = E(() => t === "OrthographicCamera" ? new o.OrthographicCamera( + -a, + a, + n, + -n, + i, + s + ) : new o.PerspectiveCamera(50, a / n)); + return c instanceof o.OrthographicCamera ? (c.left = -a, c.right = a, c.top = n, c.bottom = -n, c.near = i, c.far = s, c.updateProjectionMatrix()) : c instanceof o.PerspectiveCamera && (c.aspect = a / n, c.updateProjectionMatrix()), c; +}, te = { depthBuffer: !1 -}, _e = ({ +}, de = ({ gl: e, fbo: t, - scene: n, - camera: r, - onBeforeRender: s, - onSwap: l + scene: r, + camera: a, + clear: n = !0, + onBeforeRender: i, + onSwap: s }) => { - e.setRenderTarget(t), s(), e.clear(), e.render(n, r), l && l(), e.setRenderTarget(null), e.clear(); -}, $ = (e) => { - var x; - const { - scene: t, - camera: n, - size: r, - dpr: s = !1, - isSizeUpdate: l = !1, - depth: c = !1, - ...i - } = e, d = B(), p = K(r, s); - d.current = y( - () => { - const a = new o.WebGLRenderTarget( - p.x, - p.y, - { - ...he, - ...i - } - ); - return c && (a.depthTexture = new o.DepthTexture( - p.x, - p.y, - o.FloatType - )), a; - }, - // eslint-disable-next-line react-hooks/exhaustive-deps - [] - ), l && ((x = d.current) == null || x.setSize(p.x, p.y)), Z(() => { - const a = d.current; - return () => { - a == null || a.dispose(); - }; - }, []); - const f = _( - (a, v) => { - const u = d.current; - return _e({ - gl: a, - fbo: u, - scene: t, - camera: n, - onBeforeRender: () => v && v({ read: u.texture }) - }), u.texture; - }, - [t, n] - ); - return [d.current, f]; -}, se = (e) => { - var x, a; + if (!r || !a) + return; + const c = e.autoClear; + e.autoClear = n, e.setRenderTarget(t), i(), e.render(r, a), s && s(), e.setRenderTarget(null), e.autoClear = c; +}, b = (e) => { const { scene: t, - camera: n, - size: r, - dpr: s = !1, - isSizeUpdate: l = !1, - depth: c = !1, - ...i - } = e, d = K(r, s), p = y(() => { - const v = new o.WebGLRenderTarget(d.x, d.y, { - ...he, - ...i - }), u = new o.WebGLRenderTarget(d.x, d.y, { - ...he, - ...i + camera: r, + size: a, + dpr: n = !1, + fboAutoSetSize: i = !1, + depth: s = !1, + ...c + } = e, l = N(a, n), [u] = E(() => { + const _ = new o.WebGLRenderTarget(l.x, l.y, { + ...te, + ...c }); - return c && (v.depthTexture = new o.DepthTexture( - d.x, - d.y, + return s && (_.depthTexture = new o.DepthTexture( + l.x, + l.y, o.FloatType - ), u.depthTexture = new o.DepthTexture( - d.x, - d.y, - o.FloatType - )), { - read: v, - write: u, - swap: function() { - let m = this.read; - this.read = this.write, this.write = m; - } - }; - }, []); - l && ((x = p.read) == null || x.setSize(d.x, d.y), (a = p.write) == null || a.setSize(d.x, d.y)), Z(() => { - const v = p; + )), _; + }); + i && u.setSize(l.x, l.y), K(() => { + const _ = u; return () => { - var u, m; - (u = v.read) == null || u.dispose(), (m = v.write) == null || m.dispose(); - }; - }, [p]); - const f = _( - (v, u) => { - var h; - const m = p; - return _e({ - gl: v, - scene: t, - camera: n, - fbo: m.write, - onBeforeRender: () => u && u({ - read: m.read.texture, - write: m.write.texture - }), - onSwap: () => m.swap() - }), (h = m.read) == null ? void 0 : h.texture; - }, - [t, n, p] - ); - return [ - { read: p.read, write: p.write }, - f - ]; -}, U = (e) => typeof e == "number" ? { shader: e, fbo: e } : { - shader: e.shader ?? !1, - fbo: e.fbo ?? !1 -}, re = Object.freeze({ - texture: !1, - map: !1, - mapIntensity: 0.1, - radius: 0.05, - smudge: 0, - dissipation: 1, - motionBlur: 0, - motionSample: 5, - color: new o.Vector3(1, 0, 0), - isCursor: !1, - pressure: 1, - pointerValues: !1 -}), Jn = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = Ze({ - scene: c, - size: e, - dpr: l.shader, - onBeforeInit: s - }), p = L(e), f = Se(), [x, a] = se({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [v, u] = j(re), m = B(null), h = R(i), M = F(i), b = _( - (S, C) => { - u(S), M(C); - }, - [u, M] - ); - return [ - _( - (S, C, T) => { - const { gl: A, pointer: z } = S; - b(C, T), v.texture ? (h("uIsTexture", !0), h("uTexture", v.texture)) : h("uIsTexture", !1), v.map ? (h("uIsMap", !0), h("uMap", v.map), h("uMapIntensity", v.mapIntensity)) : h("uIsMap", !1), h("uRadius", v.radius), h("uSmudge", v.smudge), h("uDissipation", v.dissipation), h("uMotionBlur", v.motionBlur), h("uMotionSample", v.motionSample); - const P = v.pointerValues || f(z); - P.isVelocityUpdate && (h("uMouse", P.currentPointer), h("uPrevMouse", P.prevPointer)), h("uVelocity", P.velocity); - const q = typeof v.color == "function" ? v.color(P.velocity) : v.color; - return h("uColor", q), h("uIsCursor", v.isCursor), h("uPressureEnd", v.pressure), m.current === null && (m.current = v.pressure), h("uPressureStart", m.current), m.current = v.pressure, a(A, ({ read: D }) => { - h("uBuffer", D); - }); - }, - [h, f, a, v, b] - ), - b, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: x, - output: x.read.texture - } - ]; -}; -var J = `varying vec2 vUv; -varying vec2 vL; -varying vec2 vR; -varying vec2 vT; -varying vec2 vB; -uniform vec2 texelSize; - -void main () { - vUv = uv; - vL = vUv - vec2(texelSize.x, 0.0); - vR = vUv + vec2(texelSize.x, 0.0); - vT = vUv + vec2(0.0, texelSize.y); - vB = vUv - vec2(0.0, texelSize.y); - gl_Position = vec4(position, 1.0); -}`, et = `precision highp float; - -void main(){ - gl_FragColor = vec4(0.0); -}`; -const tt = () => y(() => new o.ShaderMaterial({ - vertexShader: J, - fragmentShader: et, - ...I -}), []); -var nt = `precision highp float; - -varying vec2 vUv; -uniform sampler2D uVelocity; -uniform sampler2D uSource; -uniform vec2 texelSize; -uniform float dt; -uniform float dissipation; - -void main () { - vec2 coord = vUv - dt * texture2D(uVelocity, vUv).xy * texelSize; - gl_FragColor = vec4(dissipation * texture2D(uSource, coord).rgb,1.); -}`; -const rt = ({ onBeforeInit: e }) => y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uVelocity: { value: w }, - uSource: { value: w }, - texelSize: { value: new o.Vector2() }, - dt: { value: Ae }, - dissipation: { value: 0 } - }, - vertexShader: J, - fragmentShader: nt - }, - e - ), - ...I -}), [e]); -var ot = `precision highp float; - -varying vec2 vUv; -varying vec2 vL; -varying vec2 vR; -varying vec2 vT; -varying vec2 vB; -uniform sampler2D uVelocity; - -vec2 sampleVelocity(in vec2 uv) { - vec2 clampedUV = clamp(uv, 0.0, 1.0); - vec2 multiplier = vec2(1.0, 1.0); - multiplier.x = uv.x < 0.0 || uv.x > 1.0 ? -1.0 : 1.0; - multiplier.y = uv.y < 0.0 || uv.y > 1.0 ? -1.0 : 1.0; - return multiplier * texture2D(uVelocity, clampedUV).xy; -} - -void main () { - float L = sampleVelocity(vL).x; - float R = sampleVelocity(vR).x; - float T = sampleVelocity(vT).y; - float B = sampleVelocity(vB).y; - float div = 0.5 * (R - L + T - B); - gl_FragColor = vec4(div, 0.0, 0.0, 1.0); -}`; -const at = ({ onBeforeInit: e }) => y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uVelocity: { value: null }, - texelSize: { value: new o.Vector2() } - }, - vertexShader: J, - fragmentShader: ot - }, - e - ), - ...I -}), [e]); -var it = `precision highp float; - -varying vec2 vUv; -varying vec2 vL; -varying vec2 vR; -varying vec2 vT; -varying vec2 vB; -uniform sampler2D uPressure; -uniform sampler2D uDivergence; - -void main () { - float L = texture2D(uPressure, clamp(vL,0.,1.)).x; - float R = texture2D(uPressure, clamp(vR,0.,1.)).x; - float T = texture2D(uPressure, clamp(vT,0.,1.)).x; - float B = texture2D(uPressure, clamp(vB,0.,1.)).x; - float C = texture2D(uPressure, vUv).x; - float divergence = texture2D(uDivergence, vUv).x; - float pressure = (L + R + B + T - divergence) * 0.25; - gl_FragColor = vec4(pressure, 0.0, 0.0, 1.0); -}`; -const ut = ({ onBeforeInit: e }) => y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uPressure: { value: null }, - uDivergence: { value: null }, - texelSize: { value: new o.Vector2() } - }, - vertexShader: J, - fragmentShader: it - }, - e - ), - ...I -}), [e]); -var st = `precision highp float; - -varying vec2 vUv; -varying vec2 vL; -varying vec2 vR; -varying vec2 vT; -varying vec2 vB; -uniform sampler2D uVelocity; - -void main () { - float L = texture2D(uVelocity, vL).y; - float R = texture2D(uVelocity, vR).y; - float T = texture2D(uVelocity, vT).x; - float B = texture2D(uVelocity, vB).x; - float vorticity = R - L - T + B; - gl_FragColor = vec4(vorticity, 0.0, 0.0, 1.0); -}`; -const lt = ({ onBeforeInit: e }) => y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uVelocity: { value: null }, - texelSize: { value: new o.Vector2() } - }, - vertexShader: J, - fragmentShader: st - }, - e - ), - ...I -}), [e]); -var ct = `precision highp float; - -varying vec2 vUv; -varying vec2 vT; -varying vec2 vB; -uniform sampler2D uVelocity; -uniform sampler2D uCurl; -uniform float curl; -uniform float dt; - -void main () { - float T = texture2D(uCurl, vT).x; - float B = texture2D(uCurl, vB).x; - float C = texture2D(uCurl, vUv).x; - vec2 force = vec2(abs(T) - abs(B), 0.0); - force *= 1.0 / length(force + 0.00001) * curl * C; - vec2 vel = texture2D(uVelocity, vUv).xy; - gl_FragColor = vec4(vel + force * dt, 0.0, 1.0); -}`; -const vt = ({ onBeforeInit: e }) => y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uVelocity: { value: null }, - uCurl: { value: null }, - curl: { value: 0 }, - dt: { value: Ae }, - texelSize: { value: new o.Vector2() } - }, - vertexShader: J, - fragmentShader: ct - }, - e - ), - ...I -}), [e]); -var mt = `precision highp float; - -varying vec2 vUv; -uniform sampler2D uTexture; -uniform float value; - -void main () { - gl_FragColor = value * texture2D(uTexture, vUv); -}`; -const pt = ({ onBeforeInit: e }) => y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uTexture: { value: w }, - value: { value: 0 }, - texelSize: { value: new o.Vector2() } - }, - vertexShader: J, - fragmentShader: mt - }, - e - ), - ...I -}), [e]); -var dt = `precision highp float; - -varying vec2 vUv; -varying vec2 vL; -varying vec2 vR; -varying vec2 vT; -varying vec2 vB; -uniform sampler2D uPressure; -uniform sampler2D uVelocity; - -void main () { - float L = texture2D(uPressure, clamp(vL,0.,1.)).x; - float R = texture2D(uPressure, clamp(vR,0.,1.)).x; - float T = texture2D(uPressure, clamp(vT,0.,1.)).x; - float B = texture2D(uPressure, clamp(vB,0.,1.)).x; - vec2 velocity = texture2D(uVelocity, vUv).xy; - velocity.xy -= vec2(R - L, T - B); - gl_FragColor = vec4(velocity, 0.0, 1.0); -}`; -const ft = ({ - onBeforeInit: e -}) => y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uPressure: { value: w }, - uVelocity: { value: w }, - texelSize: { value: new o.Vector2() } - }, - vertexShader: J, - fragmentShader: dt - }, - e - ), - ...I -}), [e]); -var gt = `precision highp float; - -varying vec2 vUv; -uniform sampler2D uTarget; -uniform float aspectRatio; -uniform vec3 color; -uniform vec2 point; -uniform float radius; - -void main () { - vec2 nPoint = (point + vec2(1.0)) * 0.5; - vec2 p = vUv - nPoint.xy; - p.x *= aspectRatio; - vec3 splat = exp(-dot(p, p) / radius) * color; - vec3 base = texture2D(uTarget, vUv).xyz; - gl_FragColor = vec4(base + splat, 1.0); -}`; -const ht = ({ onBeforeInit: e }) => y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uTarget: { value: w }, - aspectRatio: { value: 0 }, - color: { value: new o.Vector3() }, - point: { value: new o.Vector2() }, - radius: { value: 0 }, - texelSize: { value: new o.Vector2() } - }, - vertexShader: J, - fragmentShader: gt - }, - e - ), - ...I -}), [e]), X = (e, t) => e(t ?? {}), xt = ({ - scene: e, - size: t, - dpr: n, - customFluidProps: r -}) => { - const s = y(() => new o.PlaneGeometry(2, 2), []), { - curl: l, - vorticity: c, - advection: i, - divergence: d, - pressure: p, - clear: f, - gradientSubtract: x, - splat: a - } = r ?? {}, v = X(tt), u = v.clone(), m = X(lt, l), h = X(vt, c), M = X(rt, i), b = X( - at, - d - ), g = X(ut, p), S = X(pt, f), C = X( - ft, - x - ), T = X(ht, a), A = y( - () => ({ - vorticityMaterial: h, - curlMaterial: m, - advectionMaterial: M, - divergenceMaterial: b, - pressureMaterial: g, - clearMaterial: S, - gradientSubtractMaterial: C, - splatMaterial: T - }), - [ - h, - m, - M, - b, - g, - S, - C, - T - ] - ), z = K(t, n); - y(() => { - R(A.splatMaterial)( - "aspectRatio", - z.x / z.y - ); - for (const D of Object.values(A)) - R(D)( - "texelSize", - new o.Vector2(1 / z.x, 1 / z.y) - ); - }, [z, A]); - const P = E(e, s, v, o.Mesh); - y(() => { - v.dispose(), P.material = u; - }, [v, P, u]), Z(() => () => { - for (const D of Object.values(A)) - D.dispose(); - }, [A]); - const q = _( - (D) => { - P.material = D, P.material.needsUpdate = !0; - }, - [P] - ); - return { materials: A, setMeshMaterial: q, mesh: P }; -}, Ae = 0.016, yt = Object.freeze({ - densityDissipation: 0.98, - velocityDissipation: 0.99, - velocityAcceleration: 10, - pressureDissipation: 0.9, - pressureIterations: 20, - curlStrength: 35, - splatRadius: 2e-3, - fluidColor: new o.Vector3(1, 1, 1), - pointerValues: !1 -}), er = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - customFluidProps: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { materials: i, setMeshMaterial: d, mesh: p } = xt({ - scene: c, - size: e, - dpr: l.shader, - customFluidProps: s - }), f = L(e), x = Se(), a = y( - () => ({ - scene: c, - camera: f, - dpr: l.fbo, - size: e, - isSizeUpdate: r, - type: o.HalfFloatType, - ...n - }), - [c, f, e, l.fbo, r, n] - ), [v, u] = se(a), [m, h] = se(a), [M, b] = $(a), [g, S] = $(a), [C, T] = se(a), A = B(new o.Vector2(0, 0)), z = B(new o.Vector3(0, 0, 0)), [P, q] = j(yt), D = y( - () => ({ - advection: R(i.advectionMaterial), - splat: R(i.splatMaterial), - curl: R(i.curlMaterial), - vorticity: R(i.vorticityMaterial), - divergence: R(i.divergenceMaterial), - clear: R(i.clearMaterial), - pressure: R(i.pressureMaterial), - gradientSubtract: R(i.gradientSubtractMaterial) - }), - [i] - ), k = y( - () => ({ - advection: F(i.advectionMaterial), - splat: F(i.splatMaterial), - curl: F(i.curlMaterial), - vorticity: F(i.vorticityMaterial), - divergence: F(i.divergenceMaterial), - clear: F(i.clearMaterial), - pressure: F(i.pressureMaterial), - gradientSubtract: F(i.gradientSubtractMaterial) - }), - [i] - ), H = _( - (te, ne) => { - q(te), ne && Object.keys(ne).forEach((ie) => { - k[ie]( - ne[ie] - ); - }); - }, - [q, k] - ); - return [ - _( - (te, ne, ie) => { - const { gl: G, pointer: Ie, size: Ce } = te; - H(ne, ie); - const xe = u(G, ({ read: N }) => { - d(i.advectionMaterial), D.advection("uVelocity", N), D.advection("uSource", N), D.advection( - "dissipation", - P.velocityDissipation - ); - }), ze = h(G, ({ read: N }) => { - d(i.advectionMaterial), D.advection("uVelocity", xe), D.advection("uSource", N), D.advection( - "dissipation", - P.densityDissipation - ); - }), pe = P.pointerValues || x(Ie); - pe.isVelocityUpdate && (u(G, ({ read: N }) => { - d(i.splatMaterial), D.splat("uTarget", N), D.splat("point", pe.currentPointer); - const le = pe.diffPointer.multiply( - A.current.set(Ce.width, Ce.height).multiplyScalar(P.velocityAcceleration) - ); - D.splat( - "color", - z.current.set(le.x, le.y, 1) - ), D.splat("radius", P.splatRadius); - }), h(G, ({ read: N }) => { - d(i.splatMaterial), D.splat("uTarget", N); - const le = typeof P.fluidColor == "function" ? P.fluidColor(pe.velocity) : P.fluidColor; - D.splat("color", le); - })); - const Ue = b(G, () => { - d(i.curlMaterial), D.curl("uVelocity", xe); - }); - u(G, ({ read: N }) => { - d(i.vorticityMaterial), D.vorticity("uVelocity", N), D.vorticity("uCurl", Ue), D.vorticity("curl", P.curlStrength); - }); - const Oe = S(G, () => { - d(i.divergenceMaterial), D.divergence("uVelocity", xe); - }); - T(G, ({ read: N }) => { - d(i.clearMaterial), D.clear("uTexture", N), D.clear("value", P.pressureDissipation); - }), d(i.pressureMaterial), D.pressure("uDivergence", Oe); - let we; - for (let N = 0; N < P.pressureIterations; N++) - we = T(G, ({ read: le }) => { - D.pressure("uPressure", le); - }); - return u(G, ({ read: N }) => { - d(i.gradientSubtractMaterial), D.gradientSubtract("uPressure", we), D.gradientSubtract("uVelocity", N); - }), ze; - }, - [ - i, - D, - d, - b, - h, - S, - x, - T, - u, - P, - H - ] - ), - H, - { - scene: c, - mesh: p, - materials: i, - camera: f, - renderTarget: { - velocity: v, - density: m, - curl: M, - divergence: g, - pressure: C - }, - output: m.read.texture - } - ]; -}; -var bt = "#usf <defaultVertex>", Mt = `precision highp float; - -uniform sampler2D uMap; -uniform float uOpacity; - -varying vec2 vUv; - -void main() { - vec2 uv = vUv; - vec3 color = texture2D(uMap, uv).rgb; - gl_FragColor = vec4(color,uOpacity); -}`; -const St = ({ - scale: e, - max: t, - texture: n, - scene: r, - onBeforeInit: s -}) => { - const l = y( - () => new o.PlaneGeometry(e, e), - [e] - ), c = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uOpacity: { value: 0 }, - uMap: { value: n || w } - }, - vertexShader: bt, - fragmentShader: Mt - }, - s - ), - blending: o.AdditiveBlending, - ...I, - // Must be transparent. - transparent: !0 - }), [n, s]), i = y(() => { - const d = []; - for (let p = 0; p < t; p++) { - const f = c.clone(), x = new o.Mesh(l.clone(), f); - x.rotateZ(2 * Math.PI * Math.random()), x.visible = !1, r.add(x), d.push(x); - } - return d; - }, [l, c, r, t]); - return Z(() => () => { - i.forEach((d) => { - d.geometry.dispose(), Array.isArray(d.material) ? d.material.forEach((p) => p.dispose()) : d.material.dispose(), r.remove(d); - }); - }, [r, i]), i; -}, _t = Object.freeze({ - frequency: 0.01, - rotation: 0.05, - fadeoutSpeed: 0.9, - scale: 0.3, - alpha: 0.6, - pointerValues: !1 -}), tr = ({ - texture: e, - scale: t = 64, - max: n = 100, - size: r, - dpr: s, - renderTargetOptions: l, - isSizeUpdate: c, - onBeforeInit: i -}) => { - const d = U(s), p = y(() => new o.Scene(), []), f = St({ - scale: t, - max: n, - texture: e, - scene: p, - onBeforeInit: i - }), x = L(r), a = Se(), [v, u] = $({ - scene: p, - camera: x, - size: r, - dpr: d.fbo, - isSizeUpdate: c, - ...l - }), [m, h] = j(_t), M = B(0), b = y(() => (S, C) => { - h(S), f.forEach((T) => { - if (T.visible) { - const A = T.material; - T.rotation.z += m.rotation, T.scale.x = m.fadeoutSpeed * T.scale.x + m.scale, T.scale.y = T.scale.x; - const z = A.uniforms.uOpacity.value; - R(A)("uOpacity", z * m.fadeoutSpeed), z < 1e-3 && (T.visible = !1); - } - F(T.material)(C); - }); - }, [f, m, h]); - return [ - _( - (S, C, T) => { - const { gl: A, pointer: z, size: P } = S; - b(C, T); - const q = m.pointerValues || a(z); - if (m.frequency < q.diffPointer.length()) { - const D = f[M.current], k = D.material; - D.visible = !0, D.position.set( - q.currentPointer.x * (P.width / 2), - q.currentPointer.y * (P.height / 2), - 0 - ), D.scale.x = D.scale.y = 0, R(k)("uOpacity", m.alpha), M.current = (M.current + 1) % n; - } - return u(A); - }, - [u, f, a, n, m, b] - ), - b, - { - scene: p, - camera: x, - meshArr: f, - renderTarget: v, - output: v.texture - } - ]; -}; -var Ct = "#usf <planeVertex>", wt = `precision highp float; -precision highp int; - -varying vec2 vUv; -uniform float uTime; -uniform float timeStrength; -uniform int noiseOctaves; -uniform int fbmOctaves; -uniform int warpOctaves; -uniform vec2 warpDirection; -uniform float warpStrength; -uniform float scale; - -const float per = 0.5; -const float PI = 3.14159265359; - -float rnd(vec2 n) { - float a = 0.129898; - float b = 0.78233; - float c = 437.585453; - float dt= dot(n ,vec2(a, b)); - float sn= mod(dt, PI); - return fract(sin(sn) * c); -} - -float interpolate(float a, float b, float x){ - float f = (1.0 - cos(x * PI)) * 0.5; - return a * (1.0 - f) + b * f; -} - -float irnd(vec2 p){ - vec2 i = floor(p); - vec2 f = fract(p); - vec4 v = vec4(rnd(vec2(i.x,i.y)),rnd(vec2(i.x + 1.0,i.y)),rnd(vec2(i.x,i.y + 1.0)),rnd(vec2(i.x + 1.0, i.y + 1.0))); - return interpolate(interpolate(v.x, v.y, f.x), interpolate(v.z, v.w, f.x), f.y); -} - -float noise(vec2 p, float time){ - float t = 0.0; - for(int i = 0; i < noiseOctaves; i++){ - float freq = pow(2.0, float(i)); - float amp = pow(per, float(noiseOctaves - i)); - t += irnd(vec2(p.y / freq + time, p.x / freq + time)) * amp; - } - return t; -} - -float fbm(vec2 x, float time) { - float v = 0.0; - float a = 0.5; - vec2 shift = vec2(100); - mat2 rot = mat2(cos(0.5), sin(0.5), -sin(0.5), cos(0.5)); - float sign = 1.0; - for (int i = 0; i < fbmOctaves; ++i) { - v += a * noise(x, time * sign); - x = rot * x * 2.0 + shift; - a *= 0.5; - sign *= -1.0; - } - return v; -} - -float warp(vec2 x, float g,float time){ - float val = 0.0; - for (int i = 0; i < warpOctaves; i++){ - val = fbm(x + g * vec2(cos(warpDirection.x * val), sin(warpDirection.y * val)), time); - } - return val; -} - -void main() { - float noise = warp(gl_FragCoord.xy * scale ,warpStrength,uTime * timeStrength); - gl_FragColor = vec4(vec3(noise),1.0); -}`; -const Tt = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uTime: { value: 0 }, - scale: { value: oe.scale }, - timeStrength: { value: oe.timeStrength }, - noiseOctaves: { value: oe.noiseOctaves }, - fbmOctaves: { value: oe.fbmOctaves }, - warpOctaves: { value: oe.warpOctaves }, - warpDirection: { value: oe.warpDirection }, - warpStrength: { value: oe.warpStrength } - }, - vertexShader: Ct, - fragmentShader: wt - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, oe = Object.freeze({ - scale: 4e-3, - timeStrength: 0.3, - noiseOctaves: 2, - fbmOctaves: 2, - warpOctaves: 2, - warpDirection: new o.Vector2(2, 2), - warpStrength: 8, - beat: !1 -}), nr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = Tt({ scene: c, onBeforeInit: s }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j(oe), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C, clock: T } = b; - return h(g, S), u("scale", a.scale), u("timeStrength", a.timeStrength), u("noiseOctaves", a.noiseOctaves), u("fbmOctaves", a.fbmOctaves), u("warpOctaves", a.warpOctaves), u("warpDirection", a.warpDirection), u("warpStrength", a.warpStrength), u("uTime", a.beat || T.getElapsedTime()), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var Dt = "#usf <planeVertex>", Pt = `precision highp float; -varying vec2 vUv; - -uniform sampler2D uTexture; -uniform bool isTexture; -uniform sampler2D noise; -uniform bool isNoise; -uniform vec2 noiseStrength; -uniform float laminateLayer; -uniform vec2 laminateInterval; -uniform vec2 laminateDetail; -uniform vec2 distortion; -uniform vec3 colorFactor; -uniform float uTime; -uniform vec2 timeStrength; -uniform float scale; - -void main() { - vec2 uv = vUv; - - vec2 pos = isTexture ? texture2D(uTexture, uv).rg : uv * scale; - vec2 noise = isNoise ? texture2D(noise, uv).rg : vec2(0.0); - float alpha = isTexture ? texture2D(uTexture, uv).a : 1.0; - - - alpha = (alpha < 1e-10) ? 0.0 : alpha; - - vec3 col; - for(float j = 0.0; j < 3.0; j++){ - for(float i = 1.0; i < laminateLayer; i++){ - float timeNoiseSin = sin(uTime / (i + j)) * timeStrength.x + noise.r * noiseStrength.x; - float timeNoiseCos = cos(uTime / (i + j)) * timeStrength.y + noise.g * noiseStrength.y; - pos.x += laminateInterval.x / (i + j) * cos(i * distortion.x * pos.y + timeNoiseSin + sin(i + j)); - pos.y += laminateInterval.y / (i + j) * cos(i * distortion.y * pos.x + timeNoiseCos + sin(i + j)); - } - col[int(j)] = sin(pow(pos.x, 2.) * pow(laminateDetail.x, 2.)) + sin(pow(pos.y, 2.) * pow(laminateDetail.y, 2.)); - } - - col *= colorFactor * alpha; - col = clamp(col, 0.0, 1.0); - - gl_FragColor = vec4(col, alpha); -}`; -const Rt = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uTexture: { value: w }, - isTexture: { value: !1 }, - scale: { value: Y.scale }, - noise: { value: w }, - noiseStrength: { value: Y.noiseStrength }, - isNoise: { value: !1 }, - laminateLayer: { value: Y.laminateLayer }, - laminateInterval: { - value: Y.laminateInterval - }, - laminateDetail: { value: Y.laminateDetail }, - distortion: { value: Y.distortion }, - colorFactor: { value: Y.colorFactor }, - uTime: { value: 0 }, - timeStrength: { value: Y.timeStrength } - }, - vertexShader: Dt, - fragmentShader: Pt - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, Y = Object.freeze({ - texture: !1, - scale: 1, - laminateLayer: 1, - laminateInterval: new o.Vector2(0.1, 0.1), - laminateDetail: new o.Vector2(1, 1), - distortion: new o.Vector2(0, 0), - colorFactor: new o.Vector3(1, 1, 1), - timeStrength: new o.Vector2(0, 0), - noise: !1, - noiseStrength: new o.Vector2(0, 0), - beat: !1 -}), rr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = Rt({ scene: c, onBeforeInit: s }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j(Y), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C, clock: T } = b; - return h(g, S), a.texture ? (u("uTexture", a.texture), u("isTexture", !0)) : (u("isTexture", !1), u("scale", a.scale)), a.noise ? (u("noise", a.noise), u("isNoise", !0), u("noiseStrength", a.noiseStrength)) : u("isNoise", !1), u("uTime", a.beat || T.getElapsedTime()), u("laminateLayer", a.laminateLayer), u("laminateInterval", a.laminateInterval), u("laminateDetail", a.laminateDetail), u("distortion", a.distortion), u("colorFactor", a.colorFactor), u("timeStrength", a.timeStrength), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var At = "#usf <planeVertex>", Vt = `precision highp float; - -varying vec2 vUv; -uniform float u_time; -uniform float u_pattern; -uniform float u_complexity; -uniform float u_complexityAttenuation; -uniform float u_iterations; -uniform float u_timeStrength; -uniform float u_scale; - -vec3 marble(vec3 p){ - vec4 n; - for(float i;i<u_iterations;i++){ - p+=sin(p.yzx + u_pattern); - n=u_complexity*n+vec4(cross(cos(p + u_pattern),sin(p.zxy + u_pattern)),1.)*(1.+i*u_complexityAttenuation); - p*=u_complexity; - } - return n.xyz/n.w; -} - -void main() { - float time = u_time * u_timeStrength; - vec3 color = clamp(marble(vec3(gl_FragCoord.xy*u_scale,time)),0.,1.); - gl_FragColor = vec4(color,1.); -}`; -const Ft = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - u_time: { value: 0 }, - u_pattern: { value: ue.pattern }, - u_complexity: { value: ue.complexity }, - u_complexityAttenuation: { - value: ue.complexityAttenuation - }, - u_iterations: { value: ue.iterations }, - u_timeStrength: { value: ue.timeStrength }, - u_scale: { value: ue.scale } - }, - vertexShader: At, - fragmentShader: Vt - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, ue = Object.freeze({ - pattern: 0, - complexity: 2, - complexityAttenuation: 0.2, - iterations: 8, - timeStrength: 0.2, - scale: 2e-3, - beat: !1 -}), or = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = Ft({ scene: c, onBeforeInit: s }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j(ue), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C, clock: T } = b; - return h(g, S), u("u_pattern", a.pattern), u("u_complexity", a.complexity), u("u_complexityAttenuation", a.complexityAttenuation), u("u_iterations", a.iterations), u("u_timeStrength", a.timeStrength), u("u_scale", a.scale), u("u_time", a.beat || T.getElapsedTime()), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var It = "#usf <planeVertex>", zt = `precision highp float; -precision highp int; - -varying vec2 vUv; -uniform sampler2D uTexture; -uniform vec3 uColor1; -uniform vec3 uColor2; -uniform vec3 uColor3; -uniform vec3 uColor4; -uniform vec3 uRgbWeight; - -vec3 cosPalette( float t, vec3 color1, vec3 color2, vec3 color3, vec3 color4 ){ - return color1 + color2 * cos( 6.28318 * ( color3 * t + color4) ); -} - -void main() { - - vec4 tex = texture2D(uTexture, vUv); - float gray = dot(tex.rgb, uRgbWeight); - - vec3 outColor = cosPalette( - gray, - uColor1, - uColor2, - uColor3, - uColor4 - ); - - gl_FragColor = vec4(outColor, tex.a); -}`; -const Ut = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uTexture: { value: w }, - uRgbWeight: { value: ce.rgbWeight }, - uColor1: { value: ce.color1 }, - uColor2: { value: ce.color2 }, - uColor3: { value: ce.color3 }, - uColor4: { value: ce.color4 } - }, - vertexShader: It, - fragmentShader: zt - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, ce = Object.freeze({ - texture: w, - color1: new o.Color().set(0.5, 0.5, 0.5), - color2: new o.Color().set(0.5, 0.5, 0.5), - color3: new o.Color().set(1, 1, 1), - color4: new o.Color().set(0, 0.1, 0.2), - rgbWeight: new o.Vector3(0.299, 0.587, 0.114) -}), ar = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = Ut({ scene: c, onBeforeInit: s }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j(ce), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C } = b; - return h(g, S), u("uTexture", a.texture), u("uColor1", a.color1), u("uColor2", a.color2), u("uColor3", a.color3), u("uColor4", a.color4), u("uRgbWeight", a.rgbWeight), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var Ot = "#usf <planeVertex>", Bt = `precision highp float; - -varying vec2 vUv; -uniform sampler2D uTexture; - -uniform vec3 uColor0; -uniform vec3 uColor1; - -void main() { - vec2 uv = vUv; - vec4 texColor = texture2D(uTexture, uv); - float grayscale = dot(texColor.rgb, vec3(0.299, 0.587, 0.114)); - vec3 duotone = mix(uColor0, uColor1, grayscale); - gl_FragColor = vec4(duotone, texColor.a); -}`; -const Et = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uTexture: { value: w }, - uColor0: { value: be.color0 }, - uColor1: { value: be.color1 } - }, - vertexShader: Ot, - fragmentShader: Bt - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, be = Object.freeze({ - texture: w, - color0: new o.Color(16777215), - color1: new o.Color(0) -}), ir = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = Et({ scene: c, onBeforeInit: s }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j(be), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C } = b; - return h(g, S), u("uTexture", a.texture), u("uColor0", a.color0), u("uColor1", a.color1), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var Lt = "#usf <planeVertex>", $t = `precision highp float; - -varying vec2 vUv; -uniform sampler2D u_texture; -uniform sampler2D uMap; -uniform bool u_isAlphaMap; -uniform sampler2D u_alphaMap; -uniform float uMapIntensity; -uniform vec3 u_brightness; -uniform float u_min; -uniform float u_max; -uniform vec3 u_dodgeColor; -uniform bool u_isDodgeColor; - -void main() { - vec2 uv = vUv; - - #usf <fxBlending> - - - float brightness = dot(mapColor,u_brightness); - vec4 textureMap = texture2D(u_texture, uv); - float blendValue = smoothstep(u_min, u_max, brightness); - - - vec3 dodgeColor = u_isDodgeColor ? u_dodgeColor : mapColor; - vec3 outputColor = blendValue * dodgeColor + (1.0 - blendValue) * textureMap.rgb; - - - float alpha = u_isAlphaMap ? texture2D(u_alphaMap, uv).a : textureMap.a; - float mixValue = u_isAlphaMap ? alpha : 0.0; - vec3 alphaColor = vec3(mix(outputColor,mapColor,mixValue)); - - gl_FragColor = vec4(alphaColor,alpha); -}`; -const jt = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - u_texture: { value: w }, - uMap: { value: w }, - u_alphaMap: { value: w }, - u_isAlphaMap: { value: !1 }, - uMapIntensity: { value: ve.mapIntensity }, - u_brightness: { value: ve.brightness }, - u_min: { value: ve.min }, - u_max: { value: ve.max }, - u_dodgeColor: { value: new o.Color() }, - u_isDodgeColor: { value: !1 } - }, - vertexShader: Lt, - fragmentShader: $t - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, ve = Object.freeze({ - texture: w, - map: w, - alphaMap: !1, - mapIntensity: 0.3, - brightness: new o.Vector3(0.5, 0.5, 0.5), - min: 0, - max: 1, - dodgeColor: !1 -}), ur = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = jt({ scene: c, onBeforeInit: s }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j(ve), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C } = b; - return h(g, S), u("u_texture", a.texture), u("uMap", a.map), u("uMapIntensity", a.mapIntensity), a.alphaMap ? (u("u_alphaMap", a.alphaMap), u("u_isAlphaMap", !0)) : u("u_isAlphaMap", !1), u("u_brightness", a.brightness), u("u_min", a.min), u("u_max", a.max), a.dodgeColor ? (u("u_dodgeColor", a.dodgeColor), u("u_isDodgeColor", !0)) : u("u_isDodgeColor", !1), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var qt = "#usf <planeVertex>", Wt = `precision highp float; - -varying vec2 vUv; -uniform vec2 uResolution; -uniform vec2 uTextureResolution; -uniform sampler2D uTexture0; -uniform sampler2D uTexture1; -uniform sampler2D uMap; -uniform float mapIntensity; -uniform float edgeIntensity; -uniform float progress; -uniform float dirX; -uniform float dirY; -uniform vec2 epicenter; -uniform float padding; - -bool isInPaddingArea(vec2 uv) { - return uv.x < padding || uv.x > 1.0 - padding || uv.y < padding || uv.y > 1.0 - padding; -} - -void main() { - #usf <coverTexture> - - - vec2 map = texture2D(uMap, uv).rg; - vec2 normalizedMap = map * 2.0 - 1.0; - - - uv = uv * 2.0 - 1.0; - uv *= map * distance(epicenter, uv) * edgeIntensity + 1.0; - uv = (uv + 1.0) / 2.0; - - - if (isInPaddingArea(uv)) { - gl_FragColor = vec4(0.0, 0.0, 0.0, 0.0); - return; - } - vec2 paddedUV = uv * (1.0 - 2.0 * padding * -1.) + padding * -1.; - - - vec2 centeredUV = paddedUV - vec2(0.5); - - - centeredUV *= normalizedMap * map * mapIntensity + 1.0; - - - float xOffsetTexture0 = 0.5 - dirX * progress; - float yOffsetTexture0 = 0.5 - dirY * progress; - vec2 samplePosTexture0 = vec2(xOffsetTexture0, yOffsetTexture0) + centeredUV; - - - float xOffsetTexture1 = 0.5 + dirX * (1.0 - progress); - float yOffsetTexture1 = 0.5 + dirY * (1.0 - progress); - vec2 samplePosTexture1 = vec2(xOffsetTexture1, yOffsetTexture1) + centeredUV; - - vec4 color0 = texture2D(uTexture0, samplePosTexture0); - vec4 color1 = texture2D(uTexture1, samplePosTexture1); - - gl_FragColor = mix(color0, color1, progress); - -}`; -const Nt = ({ - scene: e, - size: t, - dpr: n, - onBeforeInit: r -}) => { - const s = y(() => new o.PlaneGeometry(2, 2), []), l = y(() => { - var p, f; - return new o.ShaderMaterial({ - ...V( - { - uniforms: { - uResolution: { value: new o.Vector2() }, - uTextureResolution: { value: new o.Vector2() }, - uTexture0: { value: w }, - uTexture1: { value: w }, - padding: { value: ae.padding }, - uMap: { value: w }, - edgeIntensity: { value: ae.edgeIntensity }, - mapIntensity: { value: ae.mapIntensity }, - epicenter: { value: ae.epicenter }, - progress: { value: ae.progress }, - dirX: { value: (p = ae.dir) == null ? void 0 : p.x }, - dirY: { value: (f = ae.dir) == null ? void 0 : f.y } - }, - vertexShader: qt, - fragmentShader: Wt - }, - r - ), - ...I - }); - }, [r]), c = K(t, n); - R(l)("uResolution", c.clone()); - const i = E(e, s, l, o.Mesh); - return { material: l, mesh: i }; -}, ae = Object.freeze({ - texture0: w, - texture1: w, - padding: 0, - map: w, - mapIntensity: 0, - edgeIntensity: 0, - epicenter: new o.Vector2(0, 0), - progress: 0, - dir: new o.Vector2(0, 0) -}), sr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = Nt({ - scene: c, - size: e, - dpr: l.shader, - onBeforeInit: s - }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - dpr: l.fbo, - size: e, - isSizeUpdate: r, - ...n - }), [a, v] = j(ae), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - var P, q, D, k, H, ee, te, ne; - const { gl: C } = b; - h(g, S), u("uTexture0", a.texture0), u("uTexture1", a.texture1), u("progress", a.progress); - const T = [ - ((q = (P = a.texture0) == null ? void 0 : P.image) == null ? void 0 : q.width) || 0, - ((k = (D = a.texture0) == null ? void 0 : D.image) == null ? void 0 : k.height) || 0 - ], A = [ - ((ee = (H = a.texture1) == null ? void 0 : H.image) == null ? void 0 : ee.width) || 0, - ((ne = (te = a.texture1) == null ? void 0 : te.image) == null ? void 0 : ne.height) || 0 - ], z = T.map((ie, G) => ie + (A[G] - ie) * a.progress); - return u("uTextureResolution", z), u("padding", a.padding), u("uMap", a.map), u("mapIntensity", a.mapIntensity), u("edgeIntensity", a.edgeIntensity), u("epicenter", a.epicenter), u("dirX", a.dir.x), u("dirY", a.dir.y), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var kt = "#usf <planeVertex>", Gt = `precision highp float; - -varying vec2 vUv; -uniform sampler2D u_texture; -uniform vec3 u_brightness; -uniform float u_min; -uniform float u_max; - -void main() { - vec2 uv = vUv; - vec3 color = texture2D(u_texture, uv).rgb; - float brightness = dot(color,u_brightness); - float alpha = clamp(smoothstep(u_min, u_max, brightness),0.0,1.0); - gl_FragColor = vec4(color, alpha); -}`; -const Kt = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - u_texture: { value: w }, - u_brightness: { value: de.brightness }, - u_min: { value: de.min }, - u_max: { value: de.max } - }, - vertexShader: kt, - fragmentShader: Gt - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, de = Object.freeze({ - texture: w, - brightness: new o.Vector3(0.5, 0.5, 0.5), - min: 0, - max: 1 -}), lr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = Kt({ scene: c, onBeforeInit: s }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j( - de - ), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C } = b; - return h(g, S), u("u_texture", a.texture), u("u_brightness", a.brightness), u("u_min", a.min), u("u_max", a.max), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var Ht = "#usf <planeVertex>", Xt = `precision highp float; - -varying vec2 vUv; -uniform sampler2D u_texture; -uniform sampler2D uMap; -uniform float uMapIntensity; - -void main() { - vec2 uv = vUv; - - #usf <fxBlending> - - gl_FragColor = texture2D(u_texture, uv); -}`; -const Yt = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - u_texture: { value: w }, - uMap: { value: w }, - uMapIntensity: { value: Ve.mapIntensity } - }, - vertexShader: Ht, - fragmentShader: Xt - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, Ve = Object.freeze({ - texture: w, - map: w, - mapIntensity: 0.3 -}), cr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = Yt({ scene: c, onBeforeInit: s }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j(Ve), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C } = b; - return h(g, S), u("u_texture", a.texture), u("uMap", a.map), u("uMapIntensity", a.mapIntensity), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var Qt = "#usf <planeVertex>", Zt = `precision highp float; - -uniform sampler2D uTexture; -uniform sampler2D uMap; - -varying vec2 vUv; - -void main() { - vec2 uv = vUv; - vec4 tex = texture2D(uTexture, uv); - vec4 map = texture2D(uMap, uv); - gl_FragColor = mix(tex,map,map.a); -}`; -const Jt = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uTexture: { value: w }, - uMap: { value: w } - }, - vertexShader: Qt, - fragmentShader: Zt - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, en = Object.freeze({ - texture: w, - map: w -}), vr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = Jt({ - scene: c, - size: e, - onBeforeInit: s - }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j(en), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C } = b; - return h(g, S), u("uTexture", a.texture), u("uMap", a.map), x(C); - }, - [u, x, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var tn = "#usf <planeVertex>", nn = `precision highp float; - -varying vec2 vUv; -uniform sampler2D u_texture; -uniform float u_brightness; -uniform float u_saturation; - -#usf <rgb2hsv> - -#usf <hsv2rgb> - -void main() { - vec4 tex = texture2D(u_texture, vUv); - vec3 hsv = rgb2hsv(tex.rgb); - hsv.y *= u_saturation; - hsv.z *= u_brightness; - vec3 final = hsv2rgb(hsv); - gl_FragColor = vec4(final, tex.a); -}`; -const rn = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - u_texture: { value: w }, - u_brightness: { value: Me.brightness }, - u_saturation: { value: Me.saturation } - }, - vertexShader: tn, - fragmentShader: nn - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, Me = Object.freeze({ - texture: w, - brightness: 1, - saturation: 1 -}), mr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = rn({ - scene: c, - size: e, - onBeforeInit: s - }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j(Me), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C } = b; - return h(g, S), u("u_texture", a.texture), u("u_brightness", a.brightness), u("u_saturation", a.saturation), x(C); - }, - [u, x, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var on = "#usf <planeVertex>", an = `precision highp float; - -varying vec2 vUv; -uniform vec2 uResolution; -uniform vec2 uTextureResolution; -uniform sampler2D uTexture; - -void main() { - #usf <coverTexture> - - gl_FragColor = texture2D(uTexture, uv); -}`; -const un = ({ - scene: e, - size: t, - dpr: n, - onBeforeInit: r -}) => { - const s = y(() => new o.PlaneGeometry(2, 2), []), l = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uResolution: { value: new o.Vector2() }, - uTextureResolution: { value: new o.Vector2() }, - uTexture: { value: w } - }, - vertexShader: on, - fragmentShader: an - }, - r - ), - ...I - }), [r]), c = K(t, n); - R(l)("uResolution", c.clone()); - const i = E(e, s, l, o.Mesh); - return { material: l, mesh: i }; -}, sn = Object.freeze({ - texture: w -}), pr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = un({ - scene: c, - size: e, - dpr: l.shader, - onBeforeInit: s - }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - dpr: l.fbo, - size: e, - isSizeUpdate: r, - ...n - }), [a, v] = j(sn), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - var T, A, z, P, q, D; - const { gl: C } = b; - return h(g, S), u("uTexture", a.texture), u("uTextureResolution", [ - ((z = (A = (T = a.texture) == null ? void 0 : T.source) == null ? void 0 : A.data) == null ? void 0 : z.width) || 0, - ((D = (q = (P = a.texture) == null ? void 0 : P.source) == null ? void 0 : q.data) == null ? void 0 : D.height) || 0 - ]), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var ln = "#usf <planeVertex>", cn = `precision highp float; - -varying vec2 vUv; -uniform sampler2D uTexture; -uniform vec2 uResolution; -uniform float uBlurSize; - -void main() { - vec2 uv = vUv; - vec2 perDivSize = uBlurSize / uResolution; - - - vec4 outColor = vec4( - texture2D(uTexture, uv + perDivSize * vec2(-1.0, -1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(0.0, -1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(1.0, -1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(-1.0, 0.0)) + - texture2D(uTexture, uv + perDivSize * vec2(0.0, 0.0)) + - texture2D(uTexture, uv + perDivSize * vec2(1.0, 0.0)) + - texture2D(uTexture, uv + perDivSize * vec2(-1.0, 1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(0.0, 1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(1.0, 1.0)) - ) / 9.0; - - gl_FragColor = outColor; -}`; -const vn = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uTexture: { value: w }, - uResolution: { value: new o.Vector2(0, 0) }, - uBlurSize: { value: Fe.blurSize } - }, - vertexShader: ln, - fragmentShader: cn - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, Fe = Object.freeze({ - texture: w, - blurSize: 3, - blurPower: 5 -}), dr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = vn({ scene: c, onBeforeInit: s }), p = L(e), f = y( - () => ({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), - [c, p, e, l.fbo, r, n] - ), [x, a] = se(f), [v, u] = j(Fe), m = R(i), h = F(i), M = _( - (g, S) => { - u(g), h(S); - }, - [u, h] - ); - return [ - _( - (g, S, C) => { - var z, P, q, D, k, H; - const { gl: T } = g; - M(S, C), m("uTexture", v.texture), m("uResolution", [ - ((q = (P = (z = v.texture) == null ? void 0 : z.source) == null ? void 0 : P.data) == null ? void 0 : q.width) || 0, - ((H = (k = (D = v.texture) == null ? void 0 : D.source) == null ? void 0 : k.data) == null ? void 0 : H.height) || 0 - ]), m("uBlurSize", v.blurSize); - let A = a(T); - for (let ee = 0; ee < v.blurPower; ee++) - m("uTexture", A), A = a(T); - return A; - }, - [a, m, v, M] - ), - M, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: x, - output: x.read.texture - } - ]; -}; -var mn = "#usf <planeVertex>", pn = `precision highp float; - -varying vec2 vUv; -uniform sampler2D uTexture; -uniform sampler2D uBackbuffer; -uniform vec2 uBegin; -uniform vec2 uEnd; -uniform float uStrength; - -void main() { - vec2 uv = vUv; - vec4 current = texture2D(uTexture, uv + uBegin*.1); - vec4 back = texture2D(uBackbuffer, uv + uEnd*.1); - vec4 mixed = mix(current,back,uStrength); - gl_FragColor = mixed; -}`; -const dn = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uTexture: { value: w }, - uBackbuffer: { value: w }, - uBegin: { value: fe.begin }, - uEnd: { value: fe.end }, - uStrength: { value: fe.strength } - }, - vertexShader: mn, - fragmentShader: pn - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, fe = Object.freeze({ - texture: w, - begin: new o.Vector2(0, 0), - end: new o.Vector2(0, 0), - strength: 0.9 -}), fr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = dn({ scene: c, onBeforeInit: s }), p = L(e), f = y( - () => ({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), - [c, p, e, l.fbo, r, n] - ), [x, a] = se(f), [v, u] = j(fe), m = R(i), h = F(i), M = _( - (g, S) => { - u(g), h(S); - }, - [u, h] - ); - return [ - _( - (g, S, C) => { - const { gl: T } = g; - return M(S, C), m("uTexture", v.texture), m("uBegin", v.begin), m("uEnd", v.end), m("uStrength", v.strength), a(T, ({ read: A }) => { - m("uBackbuffer", A); - }); - }, - [a, m, M, v] - ), - M, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: x, - output: x.read.texture - } - ]; -}; -var fn = "#usf <planeVertex>", gn = `precision highp float; - -varying vec2 vUv; -uniform float uProgress; -uniform float uStrength; -uniform float uWidth; -uniform vec2 uEpicenter; -uniform int uMode; - -float PI = 3.141592653589; - -void main() { - - vec2 uv = vUv; - - float progress = min(uProgress, 1.0); - float progressFactor = sin(progress * PI); - - float border = progress - progress * progressFactor * uWidth; - float blur = uStrength * progressFactor; - - - vec2 normalizeCenter = (uEpicenter + 1.0) / 2.0; - - - float dist = uMode == 0 ? length(uv - normalizeCenter) : uMode == 1 ? length(uv.x - normalizeCenter.x) : length(uv.y - normalizeCenter.y); - - - float maxDistance = max( - length(vec2(0.0, 0.0) - normalizeCenter), - max( - length(vec2(1.0, 0.0) - normalizeCenter), - max( - length(vec2(0.0, 1.0) - normalizeCenter), - length(vec2(1.0, 1.0) - normalizeCenter) - ) - ) - ); - - - dist = maxDistance > 0.0 ? dist / maxDistance : dist; - - vec3 color = vec3(smoothstep(border - blur, border, dist) - - smoothstep(progress, progress + blur, dist)); - - - color *= progressFactor; - - gl_FragColor = vec4(color, 1.0); -}`; -const hn = ({ - scene: e, - onBeforeInit: t -}) => { - const n = y(() => new o.PlaneGeometry(2, 2), []), r = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uEpicenter: { value: me.epicenter }, - uProgress: { value: me.progress }, - uStrength: { value: me.strength }, - uWidth: { value: me.width }, - uMode: { value: 0 } - }, - vertexShader: fn, - fragmentShader: gn - }, - t - ), - ...I - }), [t]), s = E(e, n, r, o.Mesh); - return { material: r, mesh: s }; -}, me = Object.freeze({ - epicenter: new o.Vector2(0, 0), - progress: 0, - width: 0, - strength: 0, - mode: "center" -}), gr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = hn({ scene: c, onBeforeInit: s }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j(me), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C } = b; - return h(g, S), u("uEpicenter", a.epicenter), u("uProgress", a.progress), u("uWidth", a.width), u("uStrength", a.strength), u( - "uMode", - a.mode === "center" ? 0 : a.mode === "horizontal" ? 1 : 2 - ), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var xn = "#usf <planeVertex>", yn = `precision highp float; -varying vec2 vUv; - -uniform sampler2D u_texture; -uniform vec2 u_resolution; -uniform vec3 u_keyColor; -uniform float u_similarity; -uniform float u_smoothness; -uniform float u_spill; - -uniform vec4 u_color; -uniform float u_contrast; -uniform float u_brightness; -uniform float u_gamma; - -vec2 RGBtoUV(vec3 rgb) { - return vec2( - rgb.r * -0.169 + rgb.g * -0.331 + rgb.b * 0.5 + 0.5, - rgb.r * 0.5 + rgb.g * -0.419 + rgb.b * -0.081 + 0.5 - ); -} -float getChromeDist(vec3 texColor){ - float chromaDist = distance(RGBtoUV(texColor), RGBtoUV(u_keyColor)); - return chromaDist; -} - -float getBoxFilteredChromaDist(vec3 rgb, vec2 uv) -{ - vec2 pixel_size = vec2(1.) / u_resolution; - vec2 h_pixel_size = pixel_size / 2.0; - vec2 point_0 = vec2(pixel_size.x, h_pixel_size.y); - vec2 point_1 = vec2(h_pixel_size.x, -pixel_size.y); - float distVal = getChromeDist(texture2D(u_texture,uv-point_0).rgb); - distVal += getChromeDist(texture2D(u_texture,uv+point_0).rgb); - distVal += getChromeDist(texture2D(u_texture,uv-point_1).rgb); - distVal += getChromeDist(texture2D(u_texture,uv+point_1).rgb); - distVal *= 2.0; - distVal += getChromeDist(rgb); - return distVal / 9.0; -} - -vec4 CalcColor(vec4 rgba) -{ - return vec4(pow(rgba.rgb, vec3(u_gamma, u_gamma, u_gamma)) * u_contrast + u_brightness, rgba.a); -} - -void main() { - - vec2 uv = vUv; - - vec4 texColor = texture2D(u_texture, uv); - texColor.rgb *= (texColor.a > 0.) ? (1. / texColor.a) : 0.; - - float chromaDist = getBoxFilteredChromaDist(texColor.rgb,uv); - - float baseMask = chromaDist - u_similarity; - float fullMask = pow(clamp(baseMask / u_smoothness, 0., 1.), 1.5); - - texColor.rgba *= u_color; - texColor.a = fullMask; - - float spillVal = pow(clamp(baseMask / u_spill, 0., 1.), 1.5); - float desat = clamp(texColor.r * 0.2126 + texColor.g * 0.7152 + texColor.b * 0.0722, 0., 1.); - texColor.rgb = mix(vec3(desat, desat, desat), texColor.rgb, spillVal); - - vec4 finColor = CalcColor(texColor); - - gl_FragColor = finColor; -}`; -const bn = ({ - scene: e, - size: t, - dpr: n, - onBeforeInit: r -}) => { - const s = y(() => new o.PlaneGeometry(2, 2), []), l = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - u_texture: { value: w }, - u_resolution: { value: new o.Vector2() }, - u_keyColor: { value: Q.color }, - u_similarity: { value: Q.similarity }, - u_smoothness: { value: Q.smoothness }, - u_spill: { value: Q.spill }, - u_color: { value: Q.color }, - u_contrast: { value: Q.contrast }, - u_brightness: { value: Q.brightness }, - u_gamma: { value: Q.gamma } - }, - vertexShader: xn, - fragmentShader: yn - }, - r - ), - ...I - }), [r]), c = K(t, n); - R(l)("u_resolution", c.clone()); - const i = E(e, s, l, o.Mesh); - return { material: l, mesh: i }; -}, Q = Object.freeze({ - texture: w, - keyColor: new o.Color(65280), - similarity: 0.2, - smoothness: 0.1, - spill: 0.2, - color: new o.Vector4(1, 1, 1, 1), - contrast: 1, - brightness: 0, - gamma: 1 -}), hr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = bn({ - scene: c, - size: e, - dpr: l.shader, - onBeforeInit: s - }), p = L(e), [f, x] = $({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), [a, v] = j(Q), u = R(i), m = F(i), h = _( - (b, g) => { - v(b), m(g); - }, - [v, m] - ); - return [ - _( - (b, g, S) => { - const { gl: C } = b; - return h(g, S), u("u_texture", a.texture), u("u_keyColor", a.keyColor), u("u_similarity", a.similarity), u("u_smoothness", a.smoothness), u("u_spill", a.spill), u("u_color", a.color), u("u_contrast", a.contrast), u("u_brightness", a.brightness), u("u_gamma", a.gamma), x(C); - }, - [x, u, a, h] - ), - h, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: f, - output: f.texture - } - ]; -}; -var Mn = `precision highp float; - -varying vec2 vUv; -#usf <varyings> - -#usf <uniforms> - -void main() { - vec4 usf_Position = vec4(position,1.); - vUv = uv; - - #usf <main> - - gl_Position = usf_Position; -}`, Sn = `precision highp float; - -varying vec2 vUv; -#usf <varyings> - -uniform sampler2D uTexture; -uniform sampler2D uBackbuffer; -uniform float uTime; -uniform vec2 uPointer; -uniform vec2 uResolution; - -#usf <uniforms> - -void main() { - vec4 usf_FragColor = vec4(1.); - - #usf <main> - - gl_FragColor = usf_FragColor; -}`; -const _n = ({ - scene: e, - size: t, - dpr: n, - onBeforeInit: r -}) => { - const s = y(() => new o.PlaneGeometry(2, 2), []), l = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uTexture: { value: w }, - uBackbuffer: { value: w }, - uTime: { value: 0 }, - uPointer: { value: new o.Vector2() }, - uResolution: { value: new o.Vector2() } - }, - vertexShader: Mn, - fragmentShader: Sn - }, - r - ), - ...I - }), [r]), c = K(t, n); - R(l)("uResolution", c.clone()); - const i = E(e, s, l, o.Mesh); - return { material: l, mesh: i }; -}, Cn = Object.freeze({ - texture: w, - beat: !1 -}), xr = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = _n({ - scene: c, - size: e, - dpr: l.shader, - onBeforeInit: s - }), p = L(e), f = y( - () => ({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), - [c, p, e, l.fbo, r, n] - ), [x, a] = se(f), [v, u] = j(Cn), m = R(i), h = F(i), M = _( - (g, S) => { - u(g), h(S); - }, - [u, h] - ); - return [ - _( - (g, S, C) => { - const { gl: T, clock: A, pointer: z } = g; - return M(S, C), m("uPointer", z), m("uTexture", v.texture), m("uTime", v.beat || A.getElapsedTime()), a(T, ({ read: P }) => { - m("uBackbuffer", P); - }); - }, - [a, m, v, M] - ), - M, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: x, - output: x.read.texture - } - ]; -}; -var wn = `precision highp float; - -varying vec2 vUv; -#usf <varyings> - -#usf <uniforms> - -void main() { - vec4 usf_Position = vec4(position,1.); - vUv = uv; - - #usf <main> - - gl_Position = usf_Position; -}`, Tn = `precision highp float; - -varying vec2 vUv; -#usf <varyings> - -uniform vec2 uResolution; - -#usf <uniforms> - -void main() { - vec4 usf_FragColor = vec4(1.); - - #usf <main> - - gl_FragColor = usf_FragColor; -}`; -const Dn = ({ - scene: e, - size: t, - dpr: n, - onBeforeInit: r -}) => { - const s = y(() => new o.PlaneGeometry(2, 2), []), l = y(() => new o.ShaderMaterial({ - ...V( - { - uniforms: { - uResolution: { value: new o.Vector2() } - }, - vertexShader: wn, - fragmentShader: Tn - }, - r - ), - ...I - }), [r]), c = K(t, n); - R(l)("uResolution", c.clone()); - const i = E(e, s, l, o.Mesh); - return { material: l, mesh: i }; -}, yr = Object.freeze({}), br = ({ - size: e, - dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - onBeforeInit: s -}) => { - const l = U(t), c = y(() => new o.Scene(), []), { material: i, mesh: d } = Dn({ - scene: c, - size: e, - dpr: l.shader, - onBeforeInit: s - }), p = L(e), f = y( - () => ({ - scene: c, - camera: p, - size: e, - dpr: l.fbo, - isSizeUpdate: r, - ...n - }), - [c, p, e, l.fbo, r, n] - ), [x, a] = $(f), v = F(i), u = _( - (h, M) => { - v(M); - }, - [v] - ); - return [ - _( - (h, M, b) => { - const { gl: g } = h; - return u(M, b), a(g); - }, - [a, u] - ), - u, - { - scene: c, - mesh: d, - material: i, - camera: p, - renderTarget: x, - output: x.texture - } - ]; -}, Pn = ({ - scene: e, - geometry: t, - material: n -}) => { - const r = E( - e, - t, - n, - o.Points - ), s = E( - e, - y(() => t.clone(), [t]), - y(() => n.clone(), [n]), - o.Mesh - ); - return s.visible = !1, { - points: r, - interactiveMesh: s - }; -}; -var Rn = `uniform vec2 uResolution; -uniform float uMorphProgress; -uniform float uPointSize; - -uniform sampler2D uPicture; -uniform bool uIsPicture; -uniform sampler2D uAlphaPicture; -uniform bool uIsAlphaPicture; - -uniform vec3 uColor0; -uniform vec3 uColor1; -uniform vec3 uColor2; -uniform vec3 uColor3; - -uniform float uTime; - -uniform float uWobblePositionFrequency; -uniform float uWobbleTimeFrequency; -uniform float uWobbleStrength; -uniform float uWarpPositionFrequency; -uniform float uWarpTimeFrequency; -uniform float uWarpStrength; - -uniform sampler2D uDisplacement; -uniform bool uIsDisplacement; -uniform float uDisplacementIntensity; - -uniform float uSizeRandomIntensity; -uniform float uSizeRandomTimeFrequency; -uniform float uSizeRandomMin; -uniform float uSizeRandomMax; - -uniform float uMapArrayLength; - -uniform float uDivergence; -uniform vec3 uDivergencePoint; - -varying vec3 vColor; -varying float vPictureAlpha; -varying vec3 vDisplacementColor; -varying float vDisplacementIntensity; -varying float vMapArrayIndex; - -#usf <morphPositions> - -#usf <morphUvs> - -#usf <wobble3D> - -float random3D(vec3 co) { - return fract(sin(dot(co.xyz ,vec3(12.9898, 78.233, 45.764))) * 43758.5453); -} - -void main() { - vec3 newPosition = position; - vec2 newUv = uv; - - #usf <morphPositionTransition> - #usf <morphUvTransition> - - - vec3 displacement = uIsDisplacement ? texture2D(uDisplacement, newUv).rgb : vec3(0.0); - float displacementIntensity = smoothstep(0., 1., displacement.g); - vDisplacementColor = displacement; - vDisplacementIntensity = displacementIntensity; - - - displacement = displacement * 2.-1.; - displacement *= displacementIntensity * uDisplacementIntensity; - newPosition += displacement; - - - vec3 divergenceDir = newPosition - uDivergencePoint; - if (uDivergence > 0.0) { - newPosition += normalize(divergenceDir) * uDivergence; - } else if (uDivergence < 0.0) { - newPosition -= normalize(divergenceDir) * abs(uDivergence); - } - - - vec4 modelPosition = modelMatrix * vec4(newPosition, 1.0); - vec4 viewPosition = viewMatrix * modelPosition; - vec4 projectedPosition = projectionMatrix * viewPosition; - - - float wobble = uWobbleStrength > 0. ? getWobble(projectedPosition.xyz) : 0.0; - - gl_Position = projectedPosition += wobble; - - - vColor = uIsPicture ? texture2D(uPicture, newUv).rgb : mix(mix(uColor0, uColor1, newPosition.x), mix(uColor2, uColor3, newPosition.y), newPosition.z); - - - vPictureAlpha = uIsAlphaPicture ? texture2D(uAlphaPicture, newUv).g : 1.; - - - - float sizeRand = uSizeRandomIntensity > 0. ? mix(uSizeRandomMin,uSizeRandomMax,(simplexNoise4d(vec4(newPosition,uTime * uSizeRandomTimeFrequency))*.5+.5)) * uSizeRandomIntensity : 1.; - gl_PointSize = uPointSize * vPictureAlpha * uResolution.y * sizeRand; - gl_PointSize *= (1.0 / - viewPosition.z); - - - vMapArrayIndex = uMapArrayLength > 0. ? floor(random3D(position) * uMapArrayLength) : 0.; -}`, An = `precision highp float; -precision highp int; - -varying vec3 vColor; -varying float vPictureAlpha; -varying vec3 vDisplacementColor; -varying float vDisplacementIntensity; -varying float vMapArrayIndex; - -uniform float uBlurAlpha; -uniform float uBlurRadius; -uniform sampler2D uMap; -uniform bool uIsMap; -uniform sampler2D uAlphaMap; -uniform bool uIsAlphaMap; -uniform float uDisplacementColorIntensity; -uniform float uPointAlpha; - -#usf <mapArrayUniforms> - -void main() { - vec2 uv = gl_PointCoord; - uv.y = 1.0 - uv.y; - - - float distanceToCenter = length(uv - .5); - float alpha = clamp(uBlurRadius / distanceToCenter - (1.-uBlurAlpha) , 0. , 1.); - - - vec4 mapArrayColor; - #usf <mapArraySwitcher> - vec4 mapColor = isMapArray ? mapArrayColor : uIsMap ? texture2D(uMap,uv) : vec4(1.); - vec3 finalColor = isMapArray || uIsMap ? mapColor.rgb : vColor; - - - float mixIntensity = clamp(uDisplacementColorIntensity * vDisplacementIntensity,0.,1.); - finalColor = vDisplacementIntensity > 0. ? mix(finalColor,vDisplacementColor,mixIntensity) : finalColor; - - - float alphaMap = uIsAlphaMap ? texture2D(uAlphaMap,uv).g : 1.; - - gl_FragColor = vec4(finalColor,alpha * vPictureAlpha * alphaMap * mapColor.a * uPointAlpha); -}`; -const Te = (e, t, n, r, s) => { - var f; - const l = n === "position" ? "positionTarget" : "uvTarget", c = n === "position" ? "#usf <morphPositions>" : "#usf <morphUvs>", i = n === "position" ? "#usf <morphPositionTransition>" : "#usf <morphUvTransition>", d = n === "position" ? "positionsList" : "uvsList", p = n === "position" ? ` - float scaledProgress = uMorphProgress * ${e.length - 1}.; - int baseIndex = int(floor(scaledProgress)); - baseIndex = clamp(baseIndex, 0, ${e.length - 1}); - float progress = fract(scaledProgress); - int nextIndex = baseIndex + 1; - newPosition = mix(positionsList[baseIndex], positionsList[nextIndex], progress); - ` : "newUv = mix(uvsList[baseIndex], uvsList[nextIndex], progress);"; - if (e.length > 0) { - t.deleteAttribute(n), t.setAttribute( - n, - new o.BufferAttribute(e[0], s) - ); - let x = "", a = ""; - e.forEach((v, u) => { - t.setAttribute( - `${l}${u}`, - new o.BufferAttribute(v, s) - ), x += `attribute vec${s} ${l}${u}; -`, u === 0 ? a += `${l}${u}` : a += `,${l}${u}`; - }), r = r.replace( - `${c}`, - x - ), r = r.replace( - `${i}`, - `vec${s} ${d}[${e.length}] = vec${s}[](${a}); - ${p} - ` - ); - } else - r = r.replace(`${c}`, ""), r = r.replace(`${i}`, ""), (f = t == null ? void 0 : t.attributes[n]) != null && f.array || Re && console.error( - `use-shader-fx:geometry.attributes.${n}.array is not found` - ); - return r; -}, De = (e, t, n, r) => { - var l; - let s = []; - if (e && e.length > 0) { - (l = t == null ? void 0 : t.attributes[n]) != null && l.array ? s = [ - t.attributes[n].array, - ...e - ] : s = e; - const c = Math.max(...s.map((i) => i.length)); - s.forEach((i, d) => { - if (i.length < c) { - const p = (c - i.length) / r, f = [], x = Array.from(i); - for (let a = 0; a < p; a++) { - const v = Math.floor(i.length / r * Math.random()) * r; - for (let u = 0; u < r; u++) - f.push(x[v + u]); - } - s[d] = new Float32Array([...x, ...f]); - } - }); - } - return s; -}, Vn = (e, t) => { - let n = ""; - const r = {}; - let s = "mapArrayColor = "; - return e && e.length > 0 ? (e.forEach((c, i) => { - const d = `vMapArrayIndex < ${i}.1`, p = `texture2D(uMapArray${i}, uv)`; - s += `( ${d} ) ? ${p} : `, n += ` - uniform sampler2D uMapArray${i}; - `, r[`uMapArray${i}`] = { value: c }; - }), s += "vec4(1.);", n += "bool isMapArray = true;", r.uMapArrayLength = { value: e.length }) : (s += "vec4(1.0);", n += "bool isMapArray = false;", r.uMapArrayLength = { value: 0 }), { rewritedFragmentShader: t.replace("#usf <mapArraySwitcher>", s).replace("#usf <mapArrayUniforms>", n), mapArrayUniforms: r }; -}, Fn = ({ - size: e, - dpr: t, - geometry: n, - positions: r, - uvs: s, - mapArray: l, - onBeforeInit: c -}) => { - const i = y( - () => De(r, n, "position", 3), - [r, n] - ), d = y( - () => De(s, n, "uv", 2), - [s, n] - ), p = y(() => { - i.length !== d.length && Re && console.log("use-shader-fx:positions and uvs are not matched"); - const x = Te( - d, - n, - "uv", - Te( - i, - n, - "position", - Rn, - 3 - ), - 2 - ), { rewritedFragmentShader: a, mapArrayUniforms: v } = Vn(l, An); - return new o.ShaderMaterial({ - ...V( - { - uniforms: { - uResolution: { value: new o.Vector2(0, 0) }, - uMorphProgress: { - value: O.morphProgress - }, - uBlurAlpha: { value: O.blurAlpha }, - uBlurRadius: { value: O.blurRadius }, - uPointSize: { value: O.pointSize }, - uPointAlpha: { value: O.pointAlpha }, - uPicture: { value: w }, - uIsPicture: { value: !1 }, - uAlphaPicture: { value: w }, - uIsAlphaPicture: { value: !1 }, - uColor0: { value: O.color0 }, - uColor1: { value: O.color1 }, - uColor2: { value: O.color2 }, - uColor3: { value: O.color3 }, - uMap: { value: w }, - uIsMap: { value: !1 }, - uAlphaMap: { value: w }, - uIsAlphaMap: { value: !1 }, - uTime: { value: 0 }, - uWobblePositionFrequency: { - value: O.wobblePositionFrequency - }, - uWobbleTimeFrequency: { - value: O.wobbleTimeFrequency - }, - uWobbleStrength: { - value: O.wobbleStrength - }, - uWarpPositionFrequency: { - value: O.warpPositionFrequency - }, - uWarpTimeFrequency: { - value: O.warpTimeFrequency - }, - uWarpStrength: { value: O.warpStrength }, - uDisplacement: { value: w }, - uIsDisplacement: { value: !1 }, - uDisplacementIntensity: { - value: O.displacementIntensity - }, - uDisplacementColorIntensity: { - value: O.displacementColorIntensity - }, - uSizeRandomIntensity: { - value: O.sizeRandomIntensity - }, - uSizeRandomTimeFrequency: { - value: O.sizeRandomTimeFrequency - }, - uSizeRandomMin: { - value: O.sizeRandomMin - }, - uSizeRandomMax: { - value: O.sizeRandomMax - }, - uDivergence: { value: O.divergence }, - uDivergencePoint: { - value: O.divergencePoint - }, - ...v - }, - vertexShader: x, - fragmentShader: a - }, - c - ), - ...I, - blending: o.AdditiveBlending, - // Must be transparent - transparent: !0 + _ == null || _.dispose(); + }; + }, [u]); + const v = h( + (_, m) => { + const x = u; + return de({ + ..._, + scene: _.scene || t, + camera: _.camera || r, + fbo: x, + onBeforeRender: () => m == null ? void 0 : m({ read: x.texture }) + }), x.texture; + }, + [t, r, u] + ); + return [u, v]; +}, he = (e) => { + var _, m; + const { + scene: t, + camera: r, + size: a, + dpr: n = !1, + fboAutoSetSize: i = !1, + depth: s = !1, + ...c + } = e, l = N(a, n), [u] = E(() => { + const x = new o.WebGLRenderTarget(l.x, l.y, { + ...te, + ...c + }), p = new o.WebGLRenderTarget(l.x, l.y, { + ...te, + ...c }); - }, [ - n, - i, - d, - l, - c - ]), f = K(e, t); - return R(p)("uResolution", f.clone()), { material: p, modifiedPositions: i, modifiedUvs: d }; -}, In = ({ - size: e, - dpr: t, - scene: n = !1, - geometry: r, - positions: s, - uvs: l, - mapArray: c, - onBeforeInit: i -}) => { - const d = U(t), p = y(() => { - const b = r || new o.SphereGeometry(1, 32, 32); - return b.setIndex(null), b.deleteAttribute("normal"), b; - }, [r]), { material: f, modifiedPositions: x, modifiedUvs: a } = Fn({ - size: e, - dpr: d.shader, - geometry: p, - positions: s, - uvs: l, - mapArray: c, - onBeforeInit: i - }), { points: v, interactiveMesh: u } = Pn({ - scene: n, - geometry: p, - material: f - }), m = R(f), h = F(f); + return s && (x.depthTexture = new o.DepthTexture( + l.x, + l.y, + o.FloatType + ), p.depthTexture = new o.DepthTexture( + l.x, + l.y, + o.FloatType + )), { + read: x, + write: p, + swap: function() { + let f = this.read; + this.read = this.write, this.write = f; + } + }; + }); + i && ((_ = u.read) == null || _.setSize(l.x, l.y), (m = u.write) == null || m.setSize(l.x, l.y)), K(() => { + const x = u; + return () => { + var p, f; + (p = x.read) == null || p.dispose(), (f = x.write) == null || f.dispose(); + }; + }, [u]); + const v = h( + (x, p) => { + var g; + const f = u; + return de({ + ...x, + scene: x.scene || t, + camera: x.camera || r, + fbo: f.write, + onBeforeRender: () => p == null ? void 0 : p({ + read: f.read.texture, + write: f.write.texture + }), + onSwap: () => f.swap() + }), (g = f.read) == null ? void 0 : g.texture; + }, + [t, r, u] + ); return [ - _( - (b, g, S) => { - b && m( - "uTime", - (g == null ? void 0 : g.beat) || b.clock.getElapsedTime() - ), g !== void 0 && (m("uMorphProgress", g.morphProgress), m("uBlurAlpha", g.blurAlpha), m("uBlurRadius", g.blurRadius), m("uPointSize", g.pointSize), m("uPointAlpha", g.pointAlpha), g.picture ? (m("uPicture", g.picture), m("uIsPicture", !0)) : g.picture === !1 && m("uIsPicture", !1), g.alphaPicture ? (m("uAlphaPicture", g.alphaPicture), m("uIsAlphaPicture", !0)) : g.alphaPicture === !1 && m("uIsAlphaPicture", !1), m("uColor0", g.color0), m("uColor1", g.color1), m("uColor2", g.color2), m("uColor3", g.color3), g.map ? (m("uMap", g.map), m("uIsMap", !0)) : g.map === !1 && m("uIsMap", !1), g.alphaMap ? (m("uAlphaMap", g.alphaMap), m("uIsAlphaMap", !0)) : g.alphaMap === !1 && m("uIsAlphaMap", !1), m("uWobbleStrength", g.wobbleStrength), m( - "uWobblePositionFrequency", - g.wobblePositionFrequency - ), m("uWobbleTimeFrequency", g.wobbleTimeFrequency), m("uWarpStrength", g.warpStrength), m("uWarpPositionFrequency", g.warpPositionFrequency), m("uWarpTimeFrequency", g.warpTimeFrequency), g.displacement ? (m("uDisplacement", g.displacement), m("uIsDisplacement", !0)) : g.displacement === !1 && m("uIsDisplacement", !1), m("uDisplacementIntensity", g.displacementIntensity), m( - "uDisplacementColorIntensity", - g.displacementColorIntensity - ), m("uSizeRandomIntensity", g.sizeRandomIntensity), m( - "uSizeRandomTimeFrequency", - g.sizeRandomTimeFrequency - ), m("uSizeRandomMin", g.sizeRandomMin), m("uSizeRandomMax", g.sizeRandomMax), m("uDivergence", g.divergence), m("uDivergencePoint", g.divergencePoint), h(S)); - }, - [m, h] - ), - { - points: v, - interactiveMesh: u, - positions: x, - uvs: a - } + { read: u.read, write: u.write }, + v ]; -}, O = Object.freeze({ - morphProgress: 0, - blurAlpha: 0.9, - blurRadius: 0.05, - pointSize: 0.05, - pointAlpha: 1, - picture: !1, - alphaPicture: !1, - color0: new o.Color(16711680), - color1: new o.Color(65280), - color2: new o.Color(255), - color3: new o.Color(16776960), - map: !1, - alphaMap: !1, - wobbleStrength: 0, - wobblePositionFrequency: 0.5, - wobbleTimeFrequency: 0.5, - warpStrength: 0, - warpPositionFrequency: 0.5, - warpTimeFrequency: 0.5, - displacement: !1, - displacementIntensity: 1, - displacementColorIntensity: 0, - sizeRandomIntensity: 0, - sizeRandomTimeFrequency: 0.2, - sizeRandomMin: 0.5, - sizeRandomMax: 1.5, - divergence: 0, - divergencePoint: new o.Vector3(0), - beat: !1 -}), Mr = ({ +}, we = (e, t, r, a) => { + const [n] = E(() => new a(t, r)); + return K(() => (e && e.add(n), () => { + e && e.remove(n), t.dispose(), r.dispose(); + }), [e, t, r, n]), n; +}, M = ({ size: e, dpr: t, - isSizeUpdate: n, - renderTargetOptions: r, - camera: s, - geometry: l, - positions: c, - uvs: i, - onBeforeInit: d + material: r, + geometry: a = o.PlaneGeometry, + geometrySize: n, + ...i }) => { - const p = U(t), f = y(() => new o.Scene(), []), [ - x, - { - points: a, - interactiveMesh: v, - positions: u, - uvs: m - } - ] = In({ - scene: f, - size: e, - dpr: t, - geometry: l, - positions: c, - uvs: i, - onBeforeInit: d - }), [h, M] = $({ - scene: f, - camera: s, - size: e, - dpr: p.fbo, - isSizeUpdate: n, - depthBuffer: !0, - ...r - }), b = _( - (S, C, T) => (x(S, C, T), M(S.gl)), - [M, x] - ), g = _( - (S, C) => { - x(null, S, C); - }, - [x] - ); - return [ - b, - g, - { - scene: f, - points: a, - interactiveMesh: v, - renderTarget: h, - output: h.texture, - positions: u, - uvs: m - } - ]; -}, Pe = (e) => { - const t = e.shaderType === "MeshDepthMaterial"; - e.vertexShader = e.vertexShader.replace( - "#include <beginnormal_vertex>", - ` - vec3 objectNormal = usf_Normal; - #ifdef USE_TANGENT - vec3 objectTangent = vec3( tangent.xyz ); - #endif - ` - ), e.vertexShader = e.vertexShader.replace( - "#include <begin_vertex>", - ` - vec3 transformed = usf_Position; - #ifdef USE_ALPHAHASH - vPosition = vec3( position ); - #endif - ` - ), e.vertexShader = e.vertexShader.replace( - "void main() {", - ` - uniform float uTime; - uniform float uWobblePositionFrequency; - uniform float uWobbleTimeFrequency; - uniform float uWobbleStrength; - uniform float uWarpPositionFrequency; - uniform float uWarpTimeFrequency; - uniform float uWarpStrength; - - ${t ? "attribute vec4 tangent;" : ""} - - varying float vWobble; - varying vec2 vPosition; - - // edge - varying vec3 vEdgeNormal; - varying vec3 vEdgeViewPosition; - - #usf <wobble3D> - - void main() { - - vec3 usf_Position = position; - vec3 usf_Normal = normal; - vec3 biTangent = cross(normal, tangent.xyz); - - // Neighbours positions - float shift = 0.01; - vec3 positionA = usf_Position + tangent.xyz * shift; - vec3 positionB = usf_Position + biTangent * shift; - - // wobble - float wobble = (uWobbleStrength > 0.) ? getWobble(usf_Position) : 0.0; - float wobblePositionA = (uWobbleStrength > 0.) ? getWobble(positionA) : 0.0; - float wobblePositionB = (uWobbleStrength > 0.) ? getWobble(positionB) : 0.0; - - usf_Position += wobble * normal; - positionA += wobblePositionA * normal; - positionB += wobblePositionB * normal; - - // Compute normal - vec3 toA = normalize(positionA - usf_Position); - vec3 toB = normalize(positionB - usf_Position); - usf_Normal = cross(toA, toB); - - // Varying - vPosition = usf_Position.xy; - vWobble = wobble/uWobbleStrength; - - vEdgeNormal = normalize(normalMatrix * usf_Normal); - vec4 viewPosition = viewMatrix * modelMatrix * vec4(usf_Position, 1.0); - vEdgeViewPosition = normalize(viewPosition.xyz); - ` - ); -}, zn = (e) => { - e.fragmentShader = e.fragmentShader.replace( - "#include <color_fragment>", - ` - #include <color_fragment> - - if (uEdgeThreshold > 0.0) { - float edgeThreshold = dot(vEdgeNormal, -vEdgeViewPosition); - diffuseColor = edgeThreshold < uEdgeThreshold ? vec4(uEdgeColor, 1.0) : mix(diffuseColor, usf_DiffuseColor, uColorMix); - } else { - diffuseColor = mix(diffuseColor, usf_DiffuseColor, uColorMix); - } - ` - ), e.fragmentShader = e.fragmentShader.replace( - "void main() {", - ` - uniform vec3 uColor0; - uniform vec3 uColor1; - uniform vec3 uColor2; - uniform vec3 uColor3; - uniform float uColorMix; - uniform float uEdgeThreshold; - uniform vec3 uEdgeColor; - - // transmission - uniform float uChromaticAberration; - uniform float uAnisotropicBlur; - uniform float uTime; - uniform float uDistortion; - uniform float uDistortionScale; - uniform float uTemporalDistortion; - uniform float uRefractionSamples; - - float rand(float n){return fract(sin(n) * 43758.5453123);} - - #usf <snoise> - - varying float vWobble; - varying vec2 vPosition; - varying vec3 vEdgeNormal; - varying vec3 vEdgeViewPosition; - - void main(){ - - vec4 usf_DiffuseColor = vec4(1.0); - float colorWobbleMix = smoothstep(-1.,1.,vWobble); - vec2 colorPosMix = vec2(smoothstep(-1.,1.,vPosition.x),smoothstep(-1.,1.,vPosition.y)); - - usf_DiffuseColor.rgb = mix(mix(uColor0, uColor1, colorPosMix.x), mix(uColor2, uColor3, colorPosMix.y), colorWobbleMix); - ` - ); + const [s] = E(() => new o.Scene()), [c] = E( + () => new a((n == null ? void 0 : n.width) || 2, (n == null ? void 0 : n.height) || 2) + ), [l] = E(() => new r(i)), u = N(e, t); + l.updateResolution(u.x, u.y), we(s, c, l, o.Mesh); + const v = be(e); + return { + scene: s, + material: l, + camera: v + }; +}, Ce = (e) => { + const t = T(e), r = h((a) => { + t.current = typeof a == "function" ? a(t.current) : a; + }, []); + return [t, r]; +}, Te = (() => { + try { + return process.env.NODE_ENV === "development"; + } catch { + return !1; + } +})(), S = new o.DataTexture( + new Uint8Array([0, 0, 0, 0]), + 1, + 1, + o.RGBAFormat +), Ee = "use-shader-fx", Oe = [ + "isColor", + "isMatrix3", + "isMatrix4", + "isVector2", + "isVector3", + "isVector4", + "isTexture", + "isQuaternion", + "isWebGLRenderTarget", + "isEuler", + "isBufferGeometry", + "isMaterial", + "isCamera", + "isLight", + "isObject3D", + "isBone", + "isVideoTexture" +], j = (e) => { + Te && console.warn(`${Ee}: ${e}`); +}, re = { + /*=============================================== + mixSrc + ===============================================*/ + mixSrc: { value: !1 }, + mixSrc_src: { value: new o.Texture() }, + mixSrc_fit: { value: 0 }, + mixSrc_fitScale: { value: new o.Vector2(1, 1) }, + // uv + mixSrc_uv: { value: !1 }, + mixSrc_uv_ch: { value: 0 }, + mixSrc_uv_factor: { value: 0 }, + mixSrc_uv_offset: { value: new o.Vector2(0, 0) }, + mixSrc_uv_radius: { value: 0.5 }, + mixSrc_uv_position: { value: new o.Vector2(0.5, 0.5) }, + mixSrc_uv_range: { value: new o.Vector2(0, 1) }, + mixSrc_uv_mixMap: { value: !1 }, + mixSrc_uv_mixMap_src: { value: S }, + mixSrc_uv_mixMap_ch: { value: 0 }, + // color + mixSrc_color: { value: !1 }, + mixSrc_color_factor: { value: 0 }, + mixSrc_color_radius: { value: 0.5 }, + mixSrc_color_position: { value: new o.Vector2(0.5, 0.5) }, + mixSrc_color_range: { value: new o.Vector2(0, 1) }, + mixSrc_color_mixMap: { value: !1 }, + mixSrc_color_mixMap_src: { value: S }, + mixSrc_color_mixMap_ch: { value: 0 }, + // alpha + mixSrc_alpha: { value: !1 }, + mixSrc_alpha_factor: { value: 0 }, + mixSrc_alpha_radius: { value: 0.5 }, + mixSrc_alpha_position: { value: new o.Vector2(0.5, 0.5) }, + mixSrc_alpha_range: { value: new o.Vector2(0, 1) }, + mixSrc_alpha_mixMap: { value: !1 }, + mixSrc_alpha_mixMap_src: { value: S }, + mixSrc_alpha_mixMap_ch: { value: 0 }, + /*=============================================== + mixDst + ===============================================*/ + mixDst: { value: !1 }, + mixDst_src: { value: new o.Texture() }, + mixDst_fit: { value: 0 }, + mixDst_fitScale: { value: new o.Vector2(1, 1) }, + // uv + mixDst_uv: { value: !1 }, + mixDst_uv_ch: { value: 0 }, + mixDst_uv_factor: { value: 0 }, + mixDst_uv_offset: { value: new o.Vector2(0, 0) }, + mixDst_uv_radius: { value: 0.5 }, + mixDst_uv_position: { value: new o.Vector2(0.5, 0.5) }, + mixDst_uv_range: { value: new o.Vector2(0, 1) }, + mixDst_uv_mixMap: { value: !1 }, + mixDst_uv_mixMap_src: { value: S }, + mixDst_uv_mixMap_ch: { value: 0 }, + // color + mixDst_color: { value: !1 }, + mixDst_color_factor: { value: 0 }, + mixDst_color_radius: { value: 0.5 }, + mixDst_color_position: { value: new o.Vector2(0.5, 0.5) }, + mixDst_color_range: { value: new o.Vector2(0, 1) }, + mixDst_color_mixMap: { value: !1 }, + mixDst_color_mixMap_src: { value: S }, + mixDst_color_mixMap_ch: { value: 0 }, + // alpha + mixDst_alpha: { value: !1 }, + mixDst_alpha_factor: { value: 0 }, + mixDst_alpha_radius: { value: 0.5 }, + mixDst_alpha_position: { value: new o.Vector2(0.5, 0.5) }, + mixDst_alpha_range: { value: new o.Vector2(0, 1) }, + mixDst_alpha_mixMap: { value: !1 }, + mixDst_alpha_mixMap_src: { value: S }, + mixDst_alpha_mixMap_ch: { value: 0 }, + /*=============================================== + adjustments + ===============================================*/ + // levels + levels: { value: !1 }, + levels_shadows: { value: new o.Vector4(0, 0, 0, 0) }, + levels_midtones: { value: new o.Vector4(1, 1, 1, 1) }, + levels_highlights: { value: new o.Vector4(1, 1, 1, 1) }, + levels_outputMin: { value: new o.Vector4(0, 0, 0, 0) }, + levels_outputMax: { value: new o.Vector4(1, 1, 1, 1) }, + // contrast + contrast: { value: !1 }, + contrast_factor: { value: new o.Vector4(1, 1, 1, 1) }, + // colorBalance + colorBalance: { value: !1 }, + colorBalance_factor: { value: new o.Vector3(1, 1, 1) }, + // hsv + hsv: { value: !1 }, + hsv_hueShift: { value: 0 }, + hsv_saturation: { value: 1 }, + hsv_brightness: { value: 1 }, + // posterize + posterize: { value: !1 }, + posterize_levels: { value: new o.Vector4(0, 0, 0, 0) }, + // grayscale + grayscale: { value: !1 }, + grayscale_weight: { value: new o.Vector3(0, 0, 0) }, + grayscale_duotone: { value: !1 }, + grayscale_duotone_color0: { value: new o.Color(0) }, + grayscale_duotone_color1: { value: new o.Color(16777215) }, + grayscale_threshold: { value: -1 } }; -var Un = `#ifdef USE_TRANSMISSION - - - - - uniform float _transmission; - uniform float thickness; - uniform float attenuationDistance; - uniform vec3 attenuationColor; +function Pe(e) { + const { + mixSrc: t, + mixDst: r, + srcSystem: a, + levels: n, + contrast: i, + colorBalance: s, + hsv: c, + posterize: l, + grayscale: u + } = e; + return { + USF_USE_SRC_SYSTEM: a, + USF_USE_MIXSRC: t, + USF_USE_MIXDST: r, + USF_USE_LEVELS: n, + USF_USE_CONTRAST: i, + USF_USE_COLORBALANCE: s, + USF_USE_HSV: c, + USF_USE_POSTERIZE: l, + USF_USE_GRAYSCALE: u + }; +} +function ue(e) { + const t = !!e.mixSrc.value, r = !!e.mixDst.value; + return { + mixSrc: t, + mixDst: r, + srcSystem: t || r, + levels: !!e.levels.value, + contrast: !!e.contrast.value, + colorBalance: !!e.colorBalance.value, + hsv: !!e.hsv.value, + posterize: !!e.posterize.value, + grayscale: !!e.grayscale.value + }; +} +var Ve = "#usf <plane_vertex>", Ie = "#usf <default_vertex>", Be = "#usf <default_pars_vertex>", Re = "#usf <default_pars_fragment>", Le = `#usf <mixSrc_vertex> +#usf <mixDst_vertex>`, Ae = `#usf <srcSystem_pars_vertex> +#usf <mixSrc_pars_vertex> +#usf <mixDst_pars_vertex>`, ke = `#usf <mixSrc_pars_fragment> +#usf <mixDst_pars_fragment> +#usf <srcSystem_pars_fragment> +#usf <adjustments_pars_fragment>`, $e = "#usf <mixSrc_fragment_begin>", je = `#usf <mixSrc_fragment_end> +#usf <mixDst_fragment> +#usf <adjustments_fragment>`, ze = "#usf <texture_vertex>", Ke = "#usf <texture_pars_vertex>", Ne = "#usf <texture_pars_fragment>"; +const d = Object.freeze({ + plane_vertex: Ve, + default_vertex: Ie, + default_pars_vertex: Be, + default_pars_fragment: Re, + basicFx_vertex: Le, + basicFx_pars_vertex: Ae, + basicFx_pars_fragment: ke, + basicFx_fragment_begin: $e, + basicFx_fragment_end: je, + samplingFx_vertex: ze, + samplingFx_pars_vertex: Ke, + samplingFx_pars_fragment: Ne +}), Xe = ` + void main() { + ${d.plane_vertex} + } +`, qe = ` + precision highp int; + + uniform float tick; + uniform float timeStrength; + uniform int noiseOctaves; + uniform int fbmOctaves; + uniform int warpOctaves; + uniform vec2 warpDirection; + uniform float warpStrength; + uniform float scale; + uniform float timeOffset; + + const float per = 0.5; + const float PI = 3.14159265359; + + float rnd(vec2 n) { + float a = 0.129898; + float b = 0.78233; + float c = 437.585453; + float dt= dot(n ,vec2(a, b)); + float sn= mod(dt, PI); + return fract(sin(sn) * c); + } - #ifdef USE_TRANSMISSIONMAP + float interpolate(float a, float b, float x){ + float f = (1.0 - cos(x * PI)) * 0.5; + return a * (1.0 - f) + b * f; + } - uniform sampler2D transmissionMap; + float irnd(vec2 p){ + vec2 i = floor(p); + vec2 f = fract(p); + vec4 v = vec4(rnd(vec2(i.x,i.y)),rnd(vec2(i.x + 1.0,i.y)),rnd(vec2(i.x,i.y + 1.0)),rnd(vec2(i.x + 1.0, i.y + 1.0))); + return interpolate(interpolate(v.x, v.y, f.x), interpolate(v.z, v.w, f.x), f.y); + } - #endif + // Based on The Book of Shaders + // https://thebookofshaders.com/13/ + float noise(vec2 p, float time){ + float _time = time + timeOffset; + float t = 0.0; + for(int i = 0; i < noiseOctaves; i++){ + float freq = pow(2.0, float(i)); + float amp = pow(per, float(noiseOctaves - i)); + t += irnd(vec2(p.y / freq + _time, p.x / freq + _time)) * amp; + } + return t; + } - #ifdef USE_THICKNESSMAP + float fbm(vec2 x, float time) { + float v = 0.0; + float a = 0.5; + vec2 shift = vec2(100); + mat2 rot = mat2(cos(0.5), sin(0.5), -sin(0.5), cos(0.5)); + float sign = 1.0; + for (int i = 0; i < fbmOctaves; ++i) { + v += a * noise(x, time * sign); + x = rot * x * 2.0 + shift; + a *= 0.5; + sign *= -1.0; + } + return v; + } - uniform sampler2D thicknessMap; + float warp(vec2 x, float g,float time){ + float val = 0.0; + for (int i = 0; i < warpOctaves; i++){ + val = fbm(x + g * vec2(cos(warpDirection.x * val), sin(warpDirection.y * val)), time); + } + return val; + } - #endif + void main() { - uniform vec2 transmissionSamplerSize; - uniform sampler2D transmissionSamplerMap; + vec2 usf_Uv = gl_FragCoord.xy * scale; - uniform mat4 modelMatrix; - uniform mat4 projectionMatrix; + ${d.basicFx_fragment_begin} - varying vec3 vWorldPosition; + float noise = warp(usf_Uv ,warpStrength,tick * timeStrength); - - + vec4 usf_FragColor = vec4(noise); - float w0( float a ) { + ${d.basicFx_fragment_end} - return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 ); + gl_FragColor = usf_FragColor; } +`; +var Ge = "gl_Position = vec4(position, 1.0);", He = `#ifdef USF_USE_SRC_SYSTEM - float w1( float a ) { - - return ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 ); - - } + #usf <calcSrcUv> - float w2( float a ){ +#endif`, Qe = `#ifdef USF_USE_SRC_SYSTEM - return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 ); + #usf <calcSrcUv> + float calcMixCirclePower(vec2 center, float radius, vec2 range) + { + vec2 adjustedUV = (vUv - 0.5) * vec2(aspectRatio, 1.0) + 0.5; + vec2 adjustedCenter = (center - 0.5) * vec2(aspectRatio, 1.0) + 0.5; + + float dist = length(adjustedUV - adjustedCenter); + float power = radius > 0.0 ? 1.0 - dist / radius : 1.0; + return smoothstep(range.x,range.y,power); } - float w3( float a ) { - - return ( 1.0 / 6.0 ) * ( a * a * a ); - + float calcMixMapPower(sampler2D map,vec2 range, int ch) + { + return smoothstep(range.x,range.y, texture2D(map, vUv)[ch]); } - - float g0( float a ) { + vec4 fitTexture(sampler2D src , vec2 uv, int fitType) + { + + float a = fitType == 2 ? step(0.0, uv.x) * step(uv.x, 1.0) * step(0.0, uv.y) * step(uv.y, 1.0) : 1.; + return mix(vec4(0.), texture2D(src, uv), a); + } - return w0( a ) + w1( a ); +#endif`, Ye = "vUv = uv;", We = `precision highp float; - } +varying vec2 vUv; +uniform vec2 resolution; +uniform vec2 texelSize; +uniform float aspectRatio; +uniform vec2 maxAspect;`, Ze = `precision highp float; - float g1( float a ) { +varying vec2 vUv; +uniform vec2 resolution; +uniform vec2 texelSize; +uniform float aspectRatio; +uniform vec2 maxAspect; +uniform int renderCount;`, Je = `#ifdef USF_USE_MIXSRC + varying vec2 vMixSrcCoverUv; + uniform vec2 mixSrc_fitScale; +#endif`, et = `#ifdef USF_USE_MIXSRC + vMixSrcCoverUv = calcSrcUv(vUv, mixSrc_fitScale); +#endif`, tt = `#ifdef USF_USE_MIXSRC + varying vec2 vMixSrcCoverUv; + uniform sampler2D mixSrc_src; + uniform int mixSrc_fit; + + uniform bool mixSrc_uv; + uniform int mixSrc_uv_ch; + uniform float mixSrc_uv_factor; + uniform vec2 mixSrc_uv_offset; + uniform float mixSrc_uv_radius; + uniform vec2 mixSrc_uv_position; + uniform vec2 mixSrc_uv_range; + uniform bool mixSrc_uv_mixMap; + uniform sampler2D mixSrc_uv_mixMap_src; + uniform int mixSrc_uv_mixMap_ch; + + uniform bool mixSrc_color; + uniform float mixSrc_color_factor; + uniform float mixSrc_color_radius; + uniform vec2 mixSrc_color_position; + uniform vec2 mixSrc_color_range; + uniform bool mixSrc_color_mixMap; + uniform sampler2D mixSrc_color_mixMap_src; + uniform int mixSrc_color_mixMap_ch; + + uniform bool mixSrc_alpha; + uniform float mixSrc_alpha_factor; + uniform float mixSrc_alpha_radius; + uniform vec2 mixSrc_alpha_position; + uniform vec2 mixSrc_alpha_range; + uniform bool mixSrc_alpha_mixMap; + uniform sampler2D mixSrc_alpha_mixMap_src; + uniform int mixSrc_alpha_mixMap_ch; + +#endif`, rt = `#ifdef USF_USE_MIXSRC + + vec4 mixSrcColor = fitTexture(mixSrc_src, vMixSrcCoverUv, mixSrc_fit); + + usf_Uv += mixSrc_uv + ? (mixSrc_uv_offset + (vec2(mixSrcColor[mixSrc_uv_ch]) * 2. - 1.)) * + (mixSrc_uv_mixMap + ? calcMixMapPower(mixSrc_uv_mixMap_src,mixSrc_uv_range,mixSrc_uv_mixMap_ch) + : calcMixCirclePower(mixSrc_uv_position,mixSrc_uv_radius,mixSrc_uv_range)) * mixSrc_uv_factor + : vec2(0.); + +#endif`, at = `#ifdef USF_USE_MIXSRC + + usf_FragColor = mixSrc_color + ? mix(usf_FragColor, mixSrcColor, + (mixSrc_color_mixMap + ? calcMixMapPower(mixSrc_color_mixMap_src,mixSrc_color_range,mixSrc_color_mixMap_ch) + : calcMixCirclePower(mixSrc_color_position,mixSrc_color_radius,mixSrc_color_range)) * mixSrc_color_factor) + : usf_FragColor; + + + usf_FragColor = mixSrc_alpha + ? mix(usf_FragColor, mixSrcColor, + (mixSrc_alpha_mixMap + ? calcMixMapPower(mixSrc_alpha_mixMap_src,mixSrc_alpha_range,mixSrc_alpha_mixMap_ch) + : calcMixCirclePower(mixSrc_alpha_position,mixSrc_alpha_radius,mixSrc_alpha_range)) * mixSrc_alpha_factor * mixSrcColor.a) + : usf_FragColor; + +#endif`, nt = `#ifdef USF_USE_MIXDST + varying vec2 vMixDstCoverUv; + uniform vec2 mixDst_fitScale; +#endif`, st = `#ifdef USF_USE_MIXDST + vMixDstCoverUv = calcSrcUv(vUv, mixDst_fitScale); +#endif`, it = `#ifdef USF_USE_MIXDST + + varying vec2 vMixDstCoverUv; + uniform sampler2D mixDst_src; + uniform int mixDst_fit; + + uniform bool mixDst_uv; + uniform int mixDst_uv_ch; + uniform float mixDst_uv_factor; + uniform vec2 mixDst_uv_offset; + uniform float mixDst_uv_radius; + uniform vec2 mixDst_uv_position; + uniform vec2 mixDst_uv_range; + uniform bool mixDst_uv_mixMap; + uniform sampler2D mixDst_uv_mixMap_src; + uniform int mixDst_uv_mixMap_ch; + + uniform bool mixDst_color; + uniform float mixDst_color_factor; + uniform float mixDst_color_radius; + uniform vec2 mixDst_color_position; + uniform vec2 mixDst_color_range; + uniform bool mixDst_color_mixMap; + uniform sampler2D mixDst_color_mixMap_src; + uniform int mixDst_color_mixMap_ch; + + uniform bool mixDst_alpha; + uniform float mixDst_alpha_factor; + uniform float mixDst_alpha_radius; + uniform vec2 mixDst_alpha_position; + uniform vec2 mixDst_alpha_range; + uniform bool mixDst_alpha_mixMap; + uniform sampler2D mixDst_alpha_mixMap_src; + uniform int mixDst_alpha_mixMap_ch; + +#endif`, ot = `#ifdef USF_USE_MIXDST + + + vec2 mixedUv = vMixDstCoverUv; + mixedUv += mixDst_uv + ? (mixDst_uv_offset + (vec2(usf_FragColor[mixDst_uv_ch]) * 2. - 1.)) * + (mixDst_uv_mixMap + ? calcMixMapPower(mixDst_uv_mixMap_src,mixDst_uv_range,mixDst_uv_mixMap_ch) + : calcMixCirclePower(mixDst_uv_position,mixDst_uv_radius,mixDst_uv_range)) * mixDst_uv_factor + : vec2(0.); + vec4 mixDstColor = fitTexture(mixDst_src, mixedUv , mixDst_fit); + + + usf_FragColor = mixDst_color + ? mix(usf_FragColor, mixDstColor, + (mixDst_color_mixMap + ? calcMixMapPower(mixDst_color_mixMap_src,mixDst_color_range,mixDst_color_mixMap_ch) + : calcMixCirclePower(mixDst_color_position,mixDst_color_radius,mixDst_color_range)) * mixDst_color_factor) + : usf_FragColor; + + + usf_FragColor = mixDst_alpha + ? mix(usf_FragColor, mixDstColor, + (mixDst_alpha_mixMap + ? calcMixMapPower(mixDst_alpha_mixMap_src,mixDst_alpha_range,mixDst_alpha_mixMap_ch) + : calcMixCirclePower(mixDst_alpha_position,mixDst_alpha_radius,mixDst_alpha_range)) * mixDst_alpha_factor * mixDstColor.a) + : usf_FragColor; + +#endif`, ct = `#ifdef USF_USE_TEXTURE + vTextureCoverUv = calcSrcUv(vUv, texture_fitScale); +#endif`, lt = `#ifdef USF_USE_TEXTURE + varying vec2 vTextureCoverUv; + uniform vec2 texture_fitScale; +#endif`, ut = `#ifdef USF_USE_TEXTURE + varying vec2 vTextureCoverUv; + uniform sampler2D texture_src; + uniform int texture_fit; + uniform vec2 texture_fitScale; +#endif`, ft = `#ifdef USF_USE_LEVELS + usf_FragColor = (usf_FragColor - vec4(levels_shadows)) / (vec4(levels_highlights) - vec4(levels_shadows)); + usf_FragColor = pow(usf_FragColor, vec4(1.0 / levels_midtones)); + usf_FragColor = usf_FragColor * (vec4(levels_outputMax) - vec4(levels_outputMin)) + vec4(levels_outputMin); +#endif - return w2( a ) + w3( a ); +#ifdef USF_USE_CONTRAST + usf_FragColor = clamp(((usf_FragColor-.5)*contrast_factor)+.5, 0., 1.); +#endif - } +#ifdef USF_USE_COLORBALANCE + usf_FragColor.rgb = clamp(usf_FragColor.rgb * colorBalance_factor, 0., 1.); +#endif - - float h0( float a ) { +#ifdef USF_USE_HSV + vec3 hsv = rgb2hsv(usf_FragColor.rgb); + hsv.x = fract(hsv.x + hsv_hueShift); + hsv.y = clamp(hsv.y * hsv_saturation, 0.0, 1.0); + hsv.z = clamp(hsv.z * hsv_brightness, 0.0, 1.0); + usf_FragColor.rgb = hsv2rgb(hsv); +#endif - return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) ); +#ifdef USF_USE_POSTERIZE + usf_FragColor = posterize(usf_FragColor, posterize_levels); +#endif - } +#ifdef USF_USE_GRAYSCALE + float grayscale = dot(usf_FragColor.rgb, vec3(0.299 + grayscale_weight.r, 0.587 + grayscale_weight.g, 0.114 + grayscale_weight.b)); + grayscale = grayscale_threshold > 0.0 ? step(grayscale_threshold, grayscale) : grayscale; + vec3 duotoneColor = mix(grayscale_duotone_color0, grayscale_duotone_color1, grayscale); + usf_FragColor.rgb = grayscale_duotone ? duotoneColor : vec3(grayscale); +#endif`, _t = `#ifdef USF_USE_LEVELS + uniform vec4 levels_shadows; + uniform vec4 levels_midtones; + uniform vec4 levels_highlights; + uniform vec4 levels_outputMin; + uniform vec4 levels_outputMax; +#endif - float h1( float a ) { +#ifdef USF_USE_CONTRAST + uniform vec4 contrast_factor; +#endif - return 1.0 + w3( a ) / ( w2( a ) + w3( a ) ); +#ifdef USF_USE_COLORBALANCE + uniform vec3 colorBalance_factor; +#endif +#ifdef USF_USE_HSV + uniform float hsv_hueShift; + uniform float hsv_saturation; + uniform float hsv_brightness; + vec3 hsv2rgb(vec3 c) + { + vec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0); + vec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www); + return c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y); } + vec3 rgb2hsv(vec3 c) + { + vec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0); + vec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, K.xy), step(c.b, c.g)); + vec4 q = mix(vec4(p.xyw, c.r), vec4(c.r, p.yzx), step(p.x, c.r)); + + float d = q.x - min(q.w, q.y); + float e = 1.0e-10; + return vec3(abs(q.z + (q.w - q.y) / (6.0 * d + e)), d / (q.x + e), q.x); + } +#endif - vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) { - - uv = uv * texelSize.zw + 0.5; +#ifdef USF_USE_POSTERIZE + uniform vec4 posterize_levels; + vec4 posterize(vec4 color, vec4 levels) + { + return vec4( + levels.x > 1. ? floor(color.r * levels.x) / levels.x : color.r, + levels.y > 1. ? floor(color.g * levels.y) / levels.y : color.g, + levels.z > 1. ? floor(color.b * levels.z) / levels.z : color.b, + levels.w > 1. ? floor(color.a * levels.w) / levels.w : color.a + ); + } +#endif - vec2 iuv = floor( uv ); - vec2 fuv = fract( uv ); +#ifdef USF_USE_GRAYSCALE + uniform vec3 grayscale_weight; + uniform bool grayscale_duotone; + uniform vec3 grayscale_duotone_color0; + uniform vec3 grayscale_duotone_color1; + uniform float grayscale_threshold; +#endif`, vt = `vec2 calcSrcUv(vec2 uv, vec2 fitScale) { + return uv * fitScale + (1.0 - fitScale) * .5; +}`; +const mt = Object.freeze({ + plane_vertex: Ge, + srcSystem_pars_vertex: He, + srcSystem_pars_fragment: Qe, + default_vertex: Ye, + default_pars_vertex: We, + default_pars_fragment: Ze, + mixSrc_vertex: et, + mixSrc_pars_vertex: Je, + mixSrc_pars_fragment: tt, + mixSrc_fragment_begin: rt, + mixSrc_fragment_end: at, + mixDst_pars_vertex: nt, + mixDst_vertex: st, + mixDst_pars_fragment: it, + mixDst_fragment: ot, + texture_vertex: ct, + texture_pars_vertex: lt, + texture_pars_fragment: ut, + adjustments_fragment: ft, + adjustments_pars_fragment: _t, + calcSrcUv: vt +}); +function V(e) { + return e.filter((t) => t !== "").join(` +`); +} +function ne(e, t, r) { + let a, n; + const i = { + default: { + vertexPars: d.default_pars_vertex, + vertexMain: d.default_vertex, + fragmentPars: d.default_pars_fragment + }, + basicFx: { + vertexPars: d.basicFx_pars_vertex, + vertexMain: d.basicFx_vertex, + fragmentPars: d.basicFx_pars_fragment + }, + samplingFx: { + vertexPars: V([ + d.basicFx_pars_vertex, + d.samplingFx_pars_vertex + ]), + vertexMain: V([ + d.basicFx_vertex, + d.samplingFx_vertex + ]), + fragmentPars: V([ + d.basicFx_pars_fragment, + d.samplingFx_pars_fragment + ]) + } + }, s = i[r].vertexPars, c = i[r].vertexMain, l = i[r].fragmentPars; + return e && (a = V([s, e]), a = a.replace( + /void\s+main\s*\(\)\s*\{/, + `void main() { +${c}` + )), t && (n = V([l, t])), [a, n]; +} +const pt = /^[ \t]*#usf +<([\w\d./]+)>/gm; +function xt(e, t) { + return ae(mt[t] || ""); +} +function ae(e) { + return e.replace(pt, xt); +} +function dt(e) { + return e && Oe.some((t) => e[t] === !0); +} +function ht(e) { + const t = {}, r = (a, n = "") => { + for (const [i, s] of Object.entries(a)) { + const c = n ? `${n}_${i}` : i; + s && typeof s == "object" && !Array.isArray(s) && !dt(s) ? (t[c] = !0, r(s, c)) : (t.hasOwnProperty(c) && j(`${c} already exists and will be overwritten.`), t[c] = s); + } + }; + return r(e), t; +} +class w extends o.ShaderMaterial { + constructor({ + uniformValues: t, + materialParameters: r = {}, + uniforms: a, + vertexShader: n, + fragmentShader: i + } = {}) { + super(r), this.uniforms = { + resolution: { value: new o.Vector2() }, + texelSize: { value: new o.Vector2() }, + aspectRatio: { value: 0 }, + maxAspect: { value: new o.Vector2() }, + // 一部のFXでiterationをカウントする必要があるため + renderCount: { value: 0 }, + ...a + }, this._setupShaders(n, i), this.setUniformValues(t), this._defineUniformAccessors(); + } + /** This is updated in useFxScene */ + updateResolution(t, r) { + const a = Math.max(t, r); + this.uniforms.resolution.value.set(t, r), this.uniforms.texelSize.value.set(1 / t, 1 / r), this.uniforms.aspectRatio.value = t / r, this.uniforms.maxAspect.value.set(a / t, a / r); + } + _setupShaders(t, r) { + if (!t && !r) + return; + const [a, n] = ne( + t, + r, + "default" + ); + this.vertexShader = a ? ae(a) : this.vertexShader, this.fragmentShader = n ? ae(n) : this.fragmentShader; + } + setUniformValues(t) { + if (t === void 0) + return; + const r = ht(t); + for (const [a, n] of Object.entries(r)) { + if (n === void 0) { + j(`parameter '${a}' has value of undefined.`); + continue; + } + const i = this.uniforms[a]; + if (i === void 0) { + j(`'${a}' is not a uniform property of ${this.type}.`); + continue; + } + i.value = typeof n == "function" ? n(i.value) : n; + } + return r; + } + /** define getter/setters　*/ + _defineUniformAccessors(t) { + for (const r of Object.keys(this.uniforms)) { + if (this.hasOwnProperty(r)) { + j(`'${r}' is already defined in ${this.type}.`); + continue; + } + Object.defineProperty(this, r, { + get: () => this.uniforms[r].value, + set: (a) => { + this.uniforms[r].value = a, t == null || t(); + } + }); + } + } +} +w.key = o.MathUtils.generateUUID(); +class se extends w { + constructor({ + uniforms: t, + vertexShader: r, + fragmentShader: a, + ...n + } = {}) { + var i; + super({ + ...n, + uniforms: { + ...o.UniformsUtils.clone(re), + ...t + } + }), this.defines = { + ...(i = n == null ? void 0 : n.materialParameters) == null ? void 0 : i.defines + }, this.programCache = 0, this.fxKey = this._setupFxKey(this.uniforms), this._setupFxShaders(r, a); + } + _setupFxShaders(t, r) { + if (!t && !r) + return; + this._updateFxDefines(); + const [a, n] = this._handleMergeShaderLib( + t, + r + ); + super._setupShaders(a, n); + } + /** SamplingFxMaterialで継承するため、handlerとして独立させる */ + _handleMergeShaderLib(t, r) { + return ne(t, r, "basicFx"); + } + _updateFxShaders() { + if (!this.fxKey) + return; + const t = this.programCache, { diffCount: r, newFxKey: a } = this._handleUpdateFxShaders(); + this.programCache += r, this.fxKey = a, t !== this.programCache && (this._updateFxDefines(), this.needsUpdate = !0); + } + /** SamplingFxMaterialで継承するため、handlerとして独立させる */ + _handleUpdateFxShaders() { + const t = ue(this.uniforms); + return { + diffCount: Object.keys(t).filter((a) => this.fxKey[a] !== t[a]).length, + newFxKey: t + }; + } + _updateFxDefines() { + Object.assign(this.defines, this._handleUpdateFxDefines()); + } + /** SamplingFxMaterialで継承するため、handlerとして独立させる */ + _handleUpdateFxDefines() { + return Pe(this.fxKey); + } + _isContainsBasicFxValues(t, r) { + return t ? Object.keys(t).some( + (a) => Object.keys(r ?? re).includes(a) + ) : !1; + } + _setupFxKey(t) { + return ue(t); + } + /*=============================================== + Fit Scale + ===============================================*/ + _calcFitScale(t, r) { + var c; + let a = 1; + const n = new o.Vector2(1, 1), i = this.uniforms.aspectRatio.value, s = (c = t == null ? void 0 : t.source) == null ? void 0 : c.data; + return s != null && s.width && (s != null && s.height) ? a = s.width / s.height : a = i, r === 1 ? n.set( + Math.min(i / a, 1), + Math.min(a / i, 1) + ) : r === 2 && n.set( + Math.max(i / a, 1), + Math.max(a / i, 1) + ), n; + } + _setFitScale(t) { + const r = this.uniforms; + r[`${t}_fitScale`].value = this._calcFitScale( + r[`${t}_src`].value, + r[`${t}_fit`].value + ); + } + _updateFitScale() { + var t, r; + (t = this.fxKey) != null && t.mixSrc && this._setFitScale("mixSrc"), (r = this.fxKey) != null && r.mixDst && this._setFitScale("mixDst"); + } + /*=============================================== + super FxMaterial + ===============================================*/ + /** + * @param needsUpdate default : `true` + */ + setUniformValues(t, r = !0) { + const a = super.setUniformValues(t); + return r && this._isContainsBasicFxValues(a) && (this._updateFxShaders(), this._updateFitScale()), a; + } + _defineUniformAccessors(t) { + super._defineUniformAccessors(() => { + this._updateFxShaders(), this._updateFitScale(), t == null || t(); + }); + } + updateResolution(t, r) { + super.updateResolution(t, r), this._updateFitScale(); + } +} +const ge = class Se extends se { + constructor(t = {}) { + super({ + ...t, + vertexShader: Xe, + fragmentShader: qe, + uniforms: { + tick: { value: 0 }, + scale: { value: 0.03 }, + timeStrength: { value: 0.3 }, + noiseOctaves: { value: 2 }, + fbmOctaves: { value: 2 }, + warpOctaves: { value: 2 }, + warpDirection: { value: new o.Vector2(2, 2) }, + warpStrength: { value: 8 }, + timeOffset: { value: 0 } + } + }), this.type = Se.type; + } + static get type() { + return "NoiseMaterial"; + } +}; +ge.key = o.MathUtils.generateUUID(); +let gt = ge; +const fe = ` + uniform bool bounce; + varying vec2 vL; + varying vec2 vR; + varying vec2 vT; + varying vec2 vB; +`, ee = (e = !0) => ` + vec3 pos = position; + vec2 scale = ${e ? "bounce ? vec2(1.,1.) : 1.-texelSize*2." : "1.-texelSize*2."}; + pos.xy = pos.xy * scale; + vUv = vec2(.5)+(pos.xy)*.5; + `, _e = (e) => ` + vL = vUv - vec2(texelSize.x * ${e}, 0.0); + vR = vUv + vec2(texelSize.x * ${e}, 0.0); + vT = vUv + vec2(0.0, texelSize.y * ${e}); + vB = vUv - vec2(0.0, texelSize.y * ${e}); + `, St = { + main: ` + ${fe} + + void main(){ + + ${ee()} + ${_e("1.")} - float g0x = g0( fuv.x ); - float g1x = g1( fuv.x ); - float h0x = h0( fuv.x ); - float h1x = h1( fuv.x ); - float h0y = h0( fuv.y ); - float h1y = h1( fuv.y ); + gl_Position = vec4(pos, 1.0); + } + `, + poisson: ` + ${fe} + + void main(){ - vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; - vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; - vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; - vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + ${ee()} + ${_e("2.")} - return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) + - g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) ); + gl_Position = vec4(pos, 1.0); + } + `, + advection: ` + void main(){ + ${ee(!1)} + gl_Position = vec4(pos, 1.0); + } + `, + splat: ` + uniform vec2 center; + uniform vec2 radius; + void main(){ + vec2 pos = position.xy * radius * 2.0 * texelSize + center; + gl_Position = vec4(pos, 0.0, 1.0); + } + ` +}, A = St; +var yt = `uniform float deltaTime; +uniform sampler2D velocity; +uniform float dissipation; - } +void main(){ + vec2 vel = texture2D(velocity, vUv).xy; + vec2 uv2 = vUv - vel * deltaTime * maxAspect; + vec2 newVel = texture2D(velocity, uv2).xy; + gl_FragColor = vec4(dissipation * newVel, 0.0, 0.0); +}`; +class X extends w { + constructor(t) { + super({ + ...t, + vertexShader: A.advection, + fragmentShader: yt, + uniforms: { + dissipation: { value: 0.99 }, + velocity: { value: S }, + deltaTime: { value: W } + } + }), this.type = X.type; + } + static get type() { + return "AdvectionMaterial"; + } +} +var Ft = `uniform float deltaTime; +uniform sampler2D velocity; - vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) { +varying vec2 vL; +varying vec2 vR; +varying vec2 vT; +varying vec2 vB; - vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) ); - vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) ); - vec2 fLodSizeInv = 1.0 / fLodSize; - vec2 cLodSizeInv = 1.0 / cLodSize; - vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) ); - vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) ); - return mix( fSample, cSample, fract( lod ) ); +void main(){ + float L = texture2D(velocity, vL).r; + float R = texture2D(velocity, vR).r; + float B = texture2D(velocity, vB).g; + float T = texture2D(velocity, vT).g; + + float divergence = (R-L + T-B) / 2.0; + gl_FragColor = vec4(divergence / deltaTime); +}`; +class q extends w { + constructor(t) { + super({ + ...t, + vertexShader: A.main, + fragmentShader: Ft, + uniforms: { + bounce: { value: !0 }, + velocity: { value: S }, + deltaTime: { value: W } + } + }), this.type = q.type; + } + static get type() { + return "DivergenceMaterial"; + } +} +var Mt = `uniform float deltaTime; +uniform sampler2D pressure; +uniform sampler2D velocity; - } +varying vec2 vL; +varying vec2 vR; +varying vec2 vT; +varying vec2 vB; - vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) { +void main(){ - - vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior ); + float L = texture2D(pressure, vL).r; + float R = texture2D(pressure, vR).r; + float B = texture2D(pressure, vB).r; + float T = texture2D(pressure, vT).r; - - vec3 modelScale; - modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) ); - modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) ); - modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) ); + vec2 v = texture2D(velocity, vUv).xy; + vec2 gradP = vec2(R - L, T - B) * 0.5; + v = v - gradP * deltaTime; - - return normalize( refractionVector ) * thickness * modelScale; + gl_FragColor = vec4(v, 0.0, 1.0); - } +}`; +class G extends w { + constructor(t) { + super({ + ...t, + vertexShader: A.main, + fragmentShader: Mt, + uniforms: { + bounce: { value: !0 }, + deltaTime: { value: W }, + pressure: { value: S }, + velocity: { value: S } + } + }), this.type = G.type; + } + static get type() { + return "PressureMaterial"; + } +} +var Ut = `uniform sampler2D pressure; +uniform sampler2D divergence; - float applyIorToRoughness( const in float roughness, const in float ior ) { +varying vec2 vL; +varying vec2 vR; +varying vec2 vT; +varying vec2 vB; - - - return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 ); +void main(){ - } + float L = texture2D(pressure, vL).r; + float R = texture2D(pressure, vR).r; + float B = texture2D(pressure, vB).r; + float T = texture2D(pressure, vT).r; - vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) { + float div = texture2D(divergence, vUv).r; + + float newP = (L + R + B + T) / 4.0 - div; - float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior ); - return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod ); + gl_FragColor = vec4(newP); +}`; +class H extends w { + constructor({ customParameters: t, ...r }) { + super({ + ...r, + vertexShader: A.poisson, + fragmentShader: Ut, + uniforms: { + bounce: { value: !0 }, + pressure: { value: S }, + divergence: { value: S } + } + }), this.iterations = (t == null ? void 0 : t.iterations) ?? 32, this.type = H.type; + } + static get type() { + return "PoissonMaterial"; + } +} +var Dt = `uniform vec2 force; +uniform float forceBias; - } +void main(){ + gl_FragColor = vec4(force * forceBias * pow(1.0 - clamp(2.0 * distance(vUv, vec2(0.5)), 0.0, 1.0), 2.0), 0.0, 1.0); +}`; +class Q extends w { + constructor(t) { + super({ + ...t, + vertexShader: A.splat, + fragmentShader: Dt, + uniforms: { + forceBias: { value: 20 }, + radius: { value: new o.Vector2(50, 50) }, + force: { value: new o.Vector2(0, 0) }, + center: { value: new o.Vector2(0, 0) } + } + }), this.type = Q.type, this.blending = o.AdditiveBlending; + } + static get type() { + return "SplatMaterial"; + } +} +class Y extends se { + constructor(t = {}) { + super({ + ...t, + vertexShader: ` + void main() { + ${d.plane_vertex} + } + `, + fragmentShader: ` + uniform sampler2D src; + void main() { + vec2 usf_Uv = vUv; + + ${d.basicFx_fragment_begin} - vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) { + vec4 usf_FragColor = vec4(length(texture2D(src,usf_Uv).rg)); - if ( isinf( attenuationDistance ) ) { + ${d.basicFx_fragment_end} - - return vec3( 1.0 ); + gl_FragColor = usf_FragColor; + } + `, + uniforms: { + src: { value: S } + } + }), this.type = Y.type; + } + static get type() { + return "OutputMaterial"; + } +} +const W = 8e-3, kt = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ + __proto__: null, + AdvectionMaterial: X, + DELTA_TIME: W, + DivergenceMaterial: q, + OutputMaterial: Y, + PoissonMaterial: H, + PressureMaterial: G, + SplatMaterial: Q +}, Symbol.toStringTag, { value: "Module" })), ve = { + texture: { value: !0 }, + texture_src: { value: S }, + texture_fit: { value: 0 }, + texture_fitScale: { value: new o.Vector2(1, 1) } +}; +class ye extends se { + constructor({ uniforms: t, ...r }) { + super({ + ...r, + uniforms: { + ...o.UniformsUtils.clone(ve), + ...t + } + }); + } + _handleMergeShaderLib(t, r) { + return ne(t, r, "samplingFx"); + } + _isContainsBasicFxValues(t) { + return super._isContainsBasicFxValues(t, { + ...re, + ...ve + }); + } + _updateFitScale() { + super._updateFitScale(), this._setFitScale("texture"); + } + _setupFxKey(t) { + const r = super._setupFxKey(t); + return r.srcSystem = !0, r; + } + _handleUpdateFxShaders() { + const { diffCount: t, newFxKey: r } = super._handleUpdateFxShaders(); + return r.srcSystem = !0, { + diffCount: t, + newFxKey: r + }; + } + _handleUpdateFxDefines() { + return Object.assign(super._handleUpdateFxDefines(), { + USF_USE_TEXTURE: !0 + }); + } +} +const Fe = class Me extends ye { + constructor(t = {}) { + super({ + ...t, + vertexShader: ` + void main() { + ${d.plane_vertex} + } + `, + fragmentShader: ` + void main() { + vec2 usf_Uv = vTextureCoverUv; - } else { + ${d.basicFx_fragment_begin} - - vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance; - vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); - return transmittance; + vec4 usf_FragColor = fitTexture(texture_src,usf_Uv,texture_fit); - } + ${d.basicFx_fragment_end} + gl_FragColor = usf_FragColor; + } + ` + }), this.type = Me.type; + } + static get type() { + return "BufferMaterial"; + } +}; +Fe.key = o.MathUtils.generateUUID(); +let bt = Fe; +class ie extends w { + static get type() { + return "RawBlankMaterial"; + } + constructor(t) { + super(t), this.type = ie.type; + } +} +const me = ` + uniform float time; + uniform vec2 pointer; + uniform sampler2D backbuffer; +`; +class oe extends w { + constructor({ + vertexShader: t, + fragmentShader: r, + uniforms: a, + ...n + }) { + super({ + ...n, + vertexShader: t && V([me, t]), + fragmentShader: r && V([me, r]), + uniforms: { + time: { value: 0 }, + pointer: { value: new o.Vector2() }, + backbuffer: { value: new o.Texture() }, + ...a + } + }), this.type = oe.type; + } + static get type() { + return "BlankMaterial"; + } +} +const wt = ` + void main() { + ${d.plane_vertex} } - - vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor, - const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix, - const in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness, - const in vec3 attenuationColor, const in float attenuationDistance ) { - - vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix ); - vec3 refractedRayExit = position + transmissionRay; - - - vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); - vec2 refractionCoords = ndcPos.xy / ndcPos.w; - refractionCoords += 1.0; - refractionCoords /= 2.0; - - - vec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior ); - - vec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance ); - vec3 attenuatedColor = transmittance * transmittedLight.rgb; - - - vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness ); - - - - float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0; - - return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor ); - +`, Ct = ` + uniform vec2 count; + uniform bool autoScale; + uniform float tick; + uniform bool shuffle; + uniform float shuffle_frequency; + uniform float shuffle_range; + + uniform bool sprite; + uniform sampler2D sprite_src; + uniform float sprite_length; + uniform float sprite_shuffleSpeed; + + float hash(vec2 p) { + return fract(sin(dot(p, vec2(12.9898, 78.233))) * 43758.5453); } -#endif`, On = `#ifdef USE_TRANSMISSION - -material.transmission = _transmission; -material.transmissionAlpha = 1.0; -material.thickness = thickness; -material.attenuationDistance = attenuationDistance; -material.attenuationColor = attenuationColor; -#ifdef USE_TRANSMISSIONMAP + vec2 shuffleIndex(vec2 cellIndex , vec2 count) { - material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r; + float discreteTime = floor(tick * shuffle_frequency); -#endif - -#ifdef USE_THICKNESSMAP + float r1 = hash(cellIndex + vec2(0.123, discreteTime)); + float r2 = hash(cellIndex + vec2(0.789, discreteTime)); - material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g; + // -range ~ +range + float offsetX = floor(r1 * (shuffle_range * 2.0 + 1.0)) - shuffle_range; + float offsetY = floor(r2 * (shuffle_range * 2.0 + 1.0)) - shuffle_range; + vec2 offset = vec2(offsetX, offsetY); -#endif + return mod(cellIndex + offset, count); + } -vec3 pos = vWorldPosition; + void main() { + vec2 usf_Uv = vUv; + ${d.basicFx_fragment_begin} -vec3 v = normalize( cameraPosition - pos ); -vec3 n = inverseTransformDirection( normal, viewMatrix ); + vec2 n_count = count; + n_count.x *= autoScale ? aspectRatio : 1.; -vec4 transmitted = getIBLVolumeRefraction( - n, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness, - material.attenuationColor, material.attenuationDistance ); + vec2 cellIndex = ceil(usf_Uv * n_count); -material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission ); + vec2 shuffledIndex = shuffle ? shuffleIndex(cellIndex, n_count) : cellIndex; -float runningSeed = 0.0; -vec3 transmission = vec3(0.0); -float transmissionR, transmissionB, transmissionG; -float randomCoords = rand(runningSeed++); -float thickness_smear = thickness * max(pow(roughnessFactor, 0.33), uAnisotropicBlur); -vec3 distortionNormal = vec3(0.0); -vec3 temporalOffset = vec3(uTime, -uTime, -uTime) * uTemporalDistortion; + vec2 cellCenter = calcSrcUv((shuffledIndex - .5) / n_count, texture_fitScale); -if (uDistortion > 0.0) { - distortionNormal = uDistortion * vec3(snoiseFractal(vec3((pos * uDistortionScale + temporalOffset))), snoiseFractal(vec3(pos.zxy * uDistortionScale - temporalOffset)), snoiseFractal(vec3(pos.yxz * uDistortionScale + temporalOffset))); -} + vec4 gridTextureColor = fitTexture(texture_src, cellCenter, texture_fit); -for (float i = 0.0; i < uRefractionSamples; i ++) { - vec3 sampleNorm = normalize(n + roughnessFactor * roughnessFactor * 2.0 * normalize(vec3(rand(runningSeed++) - 0.5, rand(runningSeed++) - 0.5, rand(runningSeed++) - 0.5)) * pow(rand(runningSeed++), 0.33) + distortionNormal); - - transmissionR = getIBLVolumeRefraction( - sampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples, - material.attenuationColor, material.attenuationDistance - ).r; - transmissionG = getIBLVolumeRefraction( - sampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior * (1.0 + uChromaticAberration * (i + randomCoords) / uRefractionSamples) , material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples, - material.attenuationColor, material.attenuationDistance - ).g; - transmissionB = getIBLVolumeRefraction( - sampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior * (1.0 + 2.0 * uChromaticAberration * (i + randomCoords) / uRefractionSamples), material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples, - material.attenuationColor, material.attenuationDistance - ).b; - transmission.r += transmissionR; - transmission.g += transmissionG; - transmission.b += transmissionB; -} + if(sprite){ + vec2 cellUv = fract(usf_Uv * n_count); + float cellHash = hash(cellIndex); + float spritePos = fract(cellHash + tick * sprite_shuffleSpeed); + float spriteIndex = floor(spritePos * sprite_length); + float spriteSize = 1.0 / sprite_length; + float spriteOffset = spriteIndex * spriteSize; + float spriteU = spriteOffset + cellUv.x * spriteSize; + vec2 spriteUv = vec2(spriteU, cellUv.y); + vec4 spriteColor = texture2D(sprite_src, spriteUv); + gridTextureColor *= spriteColor; + } -transmission /= uRefractionSamples; + vec4 usf_FragColor = gridTextureColor; + ${d.basicFx_fragment_end} -totalDiffuse = mix( totalDiffuse, transmission.rgb, material.transmission ); + gl_FragColor = usf_FragColor; -#endif`; -const Bn = ({ - mat: e, - isCustomTransmission: t, - parameters: n -}) => { - e.type === "MeshPhysicalMaterial" && t && (n.fragmentShader = n.fragmentShader.replace( - "#include <transmission_pars_fragment>", - `${Un}` - ), n.fragmentShader = n.fragmentShader.replace( - "#include <transmission_fragment>", - `${On}` - )), e.normalMap || (n.vertexShader = n.vertexShader.replace( - "void main() {", - ` - attribute vec4 tangent; - - void main() { - ` - )); -}, En = ({ - baseMaterial: e, - materialParameters: t, - isCustomTransmission: n = !1, - onBeforeInit: r, - depthOnBeforeInit: s, - depth: l = !1 -}) => { - const { material: c, depthMaterial: i } = y(() => { - const d = new (e || o.MeshPhysicalMaterial)( - t || {} - ); - Object.assign(d.userData, { + } +`; +class ce extends ye { + constructor(t) { + super({ + ...t, + vertexShader: wt, + fragmentShader: Ct, uniforms: { - uTime: { value: 0 }, - uWobblePositionFrequency: { - value: W.wobblePositionFrequency - }, - uWobbleTimeFrequency: { - value: W.wobbleTimeFrequency - }, - uWobbleStrength: { value: W.wobbleStrength }, - uWarpPositionFrequency: { - value: W.warpPositionFrequency - }, - uWarpTimeFrequency: { value: W.warpTimeFrequency }, - uWarpStrength: { value: W.warpStrength }, - uColor0: { value: W.color0 }, - uColor1: { value: W.color1 }, - uColor2: { value: W.color2 }, - uColor3: { value: W.color3 }, - uColorMix: { value: W.colorMix }, - uEdgeThreshold: { value: W.edgeThreshold }, - uEdgeColor: { value: W.edgeColor }, - uChromaticAberration: { - value: W.chromaticAberration - }, - uAnisotropicBlur: { value: W.anisotropicBlur }, - uDistortion: { value: W.distortion }, - uDistortionScale: { value: W.distortionScale }, - uTemporalDistortion: { value: W.temporalDistortion }, - uRefractionSamples: { value: W.refractionSamples }, - transmission: { value: 0 }, - _transmission: { value: 1 }, - transmissionMap: { value: null } + count: { value: new o.Vector2(20, 20) }, + autoScale: { value: !0 }, + tick: { value: 0 }, + shuffle: { value: !1 }, + shuffle_frequency: { value: 5 }, + shuffle_range: { value: 2 }, + sprite: { value: !1 }, + sprite_src: { value: new o.Texture() }, + sprite_length: { value: 10 }, + sprite_shuffleSpeed: { value: 0 } } - }), d.onBeforeCompile = (f) => { - Pe(f), zn(f), Bn({ - parameters: f, - mat: d, - isCustomTransmission: n - }); - const x = V( - { - fragmentShader: f.fragmentShader, - vertexShader: f.vertexShader, - // Because wobble3D uses userData to update uniforms. - uniforms: d.userData.uniforms - }, - r - ); - f.fragmentShader = x.fragmentShader, f.vertexShader = x.vertexShader, Object.assign(f.uniforms, x.uniforms); - }, d.needsUpdate = !0; - let p = null; - return l && (p = new o.MeshDepthMaterial({ - depthPacking: o.RGBADepthPacking - }), p.onBeforeCompile = (f) => { - Object.assign(f.uniforms, d.userData.uniforms), Pe(f), V(f, s); - }, p.needsUpdate = !0), { material: d, depthMaterial: p }; - }, [ - t, - e, - r, - s, - n, - l - ]); - return Z(() => () => { - i && i.dispose(); - }, [i]), { - material: c, - depthMaterial: i - }; -}, Ln = ({ - scene: e = !1, - geometry: t, - isCustomTransmission: n, - baseMaterial: r, - materialParameters: s, - depth: l, - onBeforeInit: c, - depthOnBeforeInit: i + }), this.setNearestFilter(), this.type = ce.type; + } + static get type() { + return "GridMaterial"; + } + /** When gridding with floor, you must use NearestFilter. */ + setNearestFilter() { + this.uniforms.texture_src.value.magFilter = o.NearestFilter, this.uniforms.texture_src.value.minFilter = o.NearestFilter, this.uniforms.sprite_src.value.magFilter = o.NearestFilter, this.uniforms.sprite_src.value.minFilter = o.NearestFilter; + } +} +const $t = ({ + size: e, + dpr: t, + fboAutoSetSize: r, + renderTargetOptions: a, + materialParameters: n, + ...i }) => { - const d = y(() => { - let h = t || new o.IcosahedronGeometry(2, 20); - return h = Ee(h), h.computeTangents(), h; - }, [t]), { material: p, depthMaterial: f } = En({ - baseMaterial: r, - materialParameters: s, - isCustomTransmission: n, - onBeforeInit: c, - depthOnBeforeInit: i, - depth: l - }), x = E(e, d, p, o.Mesh), a = p.userData, v = R(a), u = F(a); - return [ - _( - (h, M, b) => { - h && v( - "uTime", - (M == null ? void 0 : M.beat) || h.clock.getElapsedTime() - ), M !== void 0 && (v("uWobbleStrength", M.wobbleStrength), v( - "uWobblePositionFrequency", - M.wobblePositionFrequency - ), v("uWobbleTimeFrequency", M.wobbleTimeFrequency), v("uWarpStrength", M.warpStrength), v("uWarpPositionFrequency", M.warpPositionFrequency), v("uWarpTimeFrequency", M.warpTimeFrequency), v("uColor0", M.color0), v("uColor1", M.color1), v("uColor2", M.color2), v("uColor3", M.color3), v("uColorMix", M.colorMix), v("uEdgeThreshold", M.edgeThreshold), v("uEdgeColor", M.edgeColor), v("uChromaticAberration", M.chromaticAberration), v("uAnisotropicBlur", M.anisotropicBlur), v("uDistortion", M.distortion), v("uDistortionScale", M.distortionScale), v("uRefractionSamples", M.refractionSamples), v("uTemporalDistortion", M.temporalDistortion), u(b)); + const s = R(t), { scene: c, material: l, camera: u } = M({ + size: e, + dpr: s.shader, + material: gt, + uniformValues: i, + materialParameters: n + }), [v, _] = b({ + scene: c, + camera: u, + size: e, + dpr: s.fbo, + fboAutoSetSize: r, + ...a + }), m = h( + (p, f = !0) => { + l.setUniformValues(p, f); + }, + [l] + ); + return { + render: h( + (p, f) => { + const { gl: g, clock: C } = p; + return f && m(f, !1), l.uniforms.tick.value = typeof (f == null ? void 0 : f.tick) == "function" ? f.tick(l.uniforms.tick.value) : (f == null ? void 0 : f.tick) || C.getElapsedTime(), _({ gl: g }); }, - [v, u] + [m, _, l] ), - { - mesh: x, - depthMaterial: f - } - ]; -}, W = Object.freeze({ - wobbleStrength: 0.3, - wobblePositionFrequency: 0.3, - wobbleTimeFrequency: 0.3, - warpStrength: 0.3, - warpPositionFrequency: 0.3, - warpTimeFrequency: 0.3, - color0: new o.Color(16711680), - color1: new o.Color(65280), - color2: new o.Color(255), - color3: new o.Color(16776960), - colorMix: 1, - edgeThreshold: 0, - edgeColor: new o.Color(0), - chromaticAberration: 0.1, - anisotropicBlur: 0.1, - distortion: 0, - distortionScale: 0.1, - temporalDistortion: 0, - refractionSamples: 6, - beat: !1 -}), Sr = ({ + setValues: m, + texture: v.texture, + material: l, + scene: c, + camera: u, + renderTarget: v + }; +}, Tt = ({ size: e, dpr: t, - renderTargetOptions: n, - isSizeUpdate: r, - camera: s, - geometry: l, - baseMaterial: c, - materialParameters: i, - isCustomTransmission: d, - onBeforeInit: p, - depthOnBeforeInit: f, - depth: x -}) => { - const a = U(t), v = y(() => new o.Scene(), []), [u, { mesh: m, depthMaterial: h }] = Ln({ - baseMaterial: c, - materialParameters: i, - scene: v, - geometry: l, - isCustomTransmission: d, - onBeforeInit: p, - depthOnBeforeInit: f, - depth: x - }), [M, b] = $({ - scene: v, - camera: s, + ...r +}, a) => { + const { scene: n, material: i, camera: s } = M({ size: e, - dpr: a.fbo, - isSizeUpdate: r, - depthBuffer: !0, - ...n - }), g = _( - (C, T, A) => (u(C, T, A), b(C.gl)), - [b, u] - ), S = _( - (C, T) => { - u(null, C, T); + dpr: t, + material: X, + uniformValues: r + }); + return { render: h( + (l) => { + const { gl: u } = l; + a({ gl: u, scene: n, camera: s }); + }, + [a, n, s] + ), material: i }; +}, Et = (e = 0) => { + const t = T(new o.Vector2(0, 0)), r = T(new o.Vector2(0, 0)), a = T(new o.Vector2(0, 0)), n = T(0), i = T(new o.Vector2(0, 0)), s = T(!1); + return h( + (l) => { + const u = performance.now(); + let v; + s.current && e ? (a.current = a.current.lerp( + l, + 1 - e + ), v = a.current.clone()) : (v = l.clone(), a.current = v), n.current === 0 && (n.current = u, t.current = v); + const _ = Math.max(1, u - n.current); + n.current = u, i.current.copy(v).sub(t.current).divideScalar(_); + const m = i.current.length() > 0, x = s.current ? t.current.clone() : v; + return !s.current && m && (s.current = !0), t.current = v, { + currentPointer: v, + prevPointer: x, + diffPointer: r.current.subVectors(v, x), + velocity: i.current, + isVelocityUpdate: m + }; }, - [u] + [e] ); +}, Ot = ({ + size: e, + dpr: t, + ...r +}, a) => { + const { scene: n, material: i, camera: s } = M({ + size: e, + dpr: t, + material: Q, + geometrySize: { + width: 1, + height: 1 + }, + uniformValues: r + }), c = Et(); + return { render: h( + (u) => { + const { gl: v, pointer: _ } = u, { currentPointer: m, diffPointer: x } = c(_); + i.uniforms.center.value.copy(m), i.uniforms.force.value.copy(x), a({ gl: v, scene: n, camera: s, clear: !1 }); + }, + [a, i, c, n, s] + ), material: i }; +}, Pt = ({ + size: e, + dpr: t, + ...r +}, a) => { + const { scene: n, material: i, camera: s } = M({ + size: e, + dpr: t, + material: q, + uniformValues: r + }); + return { render: h( + (l) => { + const { gl: u } = l; + a({ gl: u, scene: n, camera: s }); + }, + [a, n, s] + ), material: i }; +}, Vt = ({ + size: e, + dpr: t, + pressureIterations: r, + ...a +}, n) => { + const { scene: i, material: s, camera: c } = M({ + size: e, + dpr: t, + material: H, + uniformValues: a, + customParameters: { + iterations: r + } + }); + return { render: h( + (u) => { + const { gl: v } = u; + for (let _ = 0; _ < s.iterations; _++) + n({ gl: v, scene: i, camera: c }, ({ read: m }) => { + s.uniforms.pressure.value = m; + }); + }, + [n, s, i, c] + ), material: s }; +}, It = ({ + size: e, + dpr: t, + ...r +}, a) => { + const { scene: n, material: i, camera: s } = M({ + size: e, + dpr: t, + material: G, + uniformValues: r + }); + return { render: h( + (l) => { + const { gl: u } = l; + a({ gl: u, scene: n, camera: s }); + }, + [a, n, s] + ), material: i }; +}, Bt = ({ + size: e, + dpr: t, + ...r +}, a) => { + const { scene: n, material: i, camera: s } = M({ + size: e, + dpr: t, + material: Y, + uniformValues: r + }); + return { render: h( + (l) => { + const { gl: u } = l; + a({ gl: u, scene: n, camera: s }); + }, + [a, n, s] + ), material: i }; +}, L = (e) => Object.fromEntries( + Object.entries(e).filter(([, t]) => t !== void 0) +), pe = (e) => { + const { + dissipation: t, + deltaTime: r, + bounce: a, + pressureIterations: n, + radius: i, + forceBias: s, + ...c + } = e; return [ - g, - S, { - scene: v, - mesh: m, - depthMaterial: h, - renderTarget: M, - output: M.texture - } + advection: L({ dissipation: t, deltaTime: r }), + divergence: L({ bounce: a, deltaTime: r }), + poisson: L({ bounce: a }), + pressure: L({ bounce: a, deltaTime: r }), + splat: L({ radius: i, forceBias: s }), + pressureIterations: n + }, + c ]; -}, _r = (e, t, n) => { - const r = y(() => { - const s = new o.Mesh(t, n); - return e.add(s), s; - }, [t, n, e]); - return Z(() => () => { - e.remove(r), t.dispose(), n.dispose(); - }, [e, t, n, r]), r; -}, $n = (e, t, n, r, s, l) => { - const c = e < n - s || t < r - s, i = e > n + s || t > r + s; - return l === "smaller" && c || l === "larger" && i || l === "both" && (c || i); -}, Cr = ({ +}, jt = ({ size: e, - boundFor: t, - threshold: n + dpr: t, + fboAutoSetSize: r, + renderTargetOptions: a, + materialParameters: n, + ...i }) => { - const r = B(e); - return y(() => { - const { width: l, height: c } = e, { width: i, height: d } = r.current, p = $n( - l, - c, - i, - d, - n, - t - ); - return p && (r.current = e), p; - }, [e, t, n]); -}, ge = Object.freeze({ + const s = R(t), c = { + dpr: s.fbo, + size: e, + fboAutoSetSize: r, + type: o.HalfFloatType, + ...a + }, [l, u] = b(c), [v, _] = b(c), [m, x] = b(c), [p, f] = he(c), [g, C] = b(c), [U, le] = pe(i), y = { size: e, dpr: s.shader }, D = Tt( + { + ...y, + ...U.advection, + velocity: l.texture + }, + _ + ), O = Ot( + { + ...y, + ...U.splat + }, + _ + ), I = Pt( + { + ...y, + ...U.divergence, + velocity: v.texture + }, + x + ), P = Vt( + { + ...y, + ...U.poisson, + divergence: m.texture, + pressureIterations: U.pressureIterations + }, + f + ), B = It( + { + ...y, + ...U.pressure, + velocity: v.texture, + pressure: p.read.texture + }, + u + ), k = Bt( + { + ...y, + ...le, + src: l.texture + }, + C + ), Z = h( + (J, $ = !0) => { + const [F, Ue] = pe(J); + k.material.setUniformValues(Ue, $), D.material.setUniformValues(F.advection), I.material.setUniformValues(F.divergence), P.material.setUniformValues(F.poisson), B.material.setUniformValues(F.pressure), O.material.setUniformValues(F.splat), F.pressureIterations && (P.material.iterations = F.pressureIterations); + }, + [k, D, I, P, B, O] + ); + return { + render: h( + (J, $) => ($ && Z($, !1), [D, O, I, P, B, k].forEach( + (F) => F == null ? void 0 : F.render(J) + ), g.texture), + [ + Z, + g.texture, + D, + O, + I, + P, + B, + k + ] + ), + setValues: Z, + texture: g.texture, + velocity: l.texture + }; +}, zt = ({ + size: e, + dpr: t, + fboAutoSetSize: r, + renderTargetOptions: a, + materialParameters: n, + ...i +}) => { + const s = R(t), { scene: c, material: l, camera: u } = M({ + size: e, + dpr: s.shader, + material: bt, + uniformValues: i, + materialParameters: n + }), [v, _] = b({ + scene: c, + camera: u, + size: e, + dpr: s.fbo, + fboAutoSetSize: r, + ...a + }), m = h( + (p, f = !0) => { + l.setUniformValues(p, f); + }, + [l] + ); + return { + render: h( + (p, f) => { + const { gl: g } = p; + return f && m(f, !1), _({ gl: g }); + }, + [m, _] + ), + setValues: m, + texture: v.texture, + material: l, + scene: c, + camera: u, + renderTarget: v + }; +}, Kt = ({ + size: e, + dpr: t, + fboAutoSetSize: r, + renderTargetOptions: a, + materialParameters: n, + ...i +}) => { + const s = R(t), { scene: c, material: l, camera: u } = M({ + size: e, + dpr: s.shader, + material: ie, + materialParameters: n, + ...i + }), [v, _] = b({ + scene: c, + camera: u, + size: e, + dpr: s.fbo, + fboAutoSetSize: r, + ...a + }), m = h( + (p) => { + l.setUniformValues(p); + }, + [l] + ); + return { + render: h( + (p, f) => { + const { gl: g } = p; + return f && m(f), _({ gl: g }); + }, + [m, _] + ), + setValues: m, + texture: v.texture, + material: l, + scene: c, + camera: u, + renderTarget: v + }; +}, Nt = ({ + size: e, + dpr: t, + fboAutoSetSize: r, + renderTargetOptions: a, + materialParameters: n, + pointerLerp: i = 1, + ...s +}) => { + const c = R(t), { scene: l, material: u, camera: v } = M({ + size: e, + dpr: c.shader, + material: oe, + materialParameters: n, + ...s + }), _ = { + scene: l, + camera: v, + size: e, + dpr: c.fbo, + fboAutoSetSize: r, + ...a + }, [m, x] = b(_), [p, f] = he(_), [g, C] = Ce({ pointerLerp: i }), U = h( + ({ pointerLerp: y, ...D }) => { + u.setUniformValues(D), y && C({ pointerLerp: y }); + }, + [u, C] + ); + return { + render: h( + (y, D) => { + const { gl: O, clock: I, pointer: P } = y; + return D && U(D), u.uniforms.time.value = I.getElapsedTime(), u.uniforms.pointer.value.lerp( + P, + g.current.pointerLerp + ), f( + { gl: O }, + ({ read: B }) => u.uniforms.backbuffer.value = B + ), x({ gl: O }); + }, + [U, x, u, f, g] + ), + setValues: U, + texture: m.texture, + material: u, + scene: l, + camera: v, + renderTarget: m + }; +}, Xt = ({ + size: e, + dpr: t, + fboAutoSetSize: r, + renderTargetOptions: a, + materialParameters: n, + ...i +}) => { + const s = R(t), { scene: c, material: l, camera: u } = M({ + size: e, + dpr: s.shader, + material: ce, + uniformValues: i, + materialParameters: n + }), [v, _] = b({ + scene: c, + camera: u, + size: e, + dpr: s.fbo, + fboAutoSetSize: r, + ...a + }), m = h( + (p, f = !0) => { + l.setUniformValues(p, f), l.setNearestFilter(); + }, + [l] + ); + return { + render: h( + (p, f) => { + const { gl: g, clock: C } = p; + return f && m(f, !1), l.uniforms.tick.value = typeof (f == null ? void 0 : f.tick) == "function" ? f.tick(l.uniforms.tick.value) : (f == null ? void 0 : f.tick) || C.getElapsedTime(), _({ gl: g }); + }, + [m, _, l] + ), + setValues: m, + texture: v.texture, + material: l, + scene: c, + camera: u, + renderTarget: v + }; +}, z = Object.freeze({ easeInSine(e) { return 1 - Math.cos(e * Math.PI / 2); }, @@ -4369,8 +2022,8 @@ const Bn = ({ return 1 + 2.70158 * Math.pow(e - 1, 3) + 1.70158 * Math.pow(e - 1, 2); }, easeInOutBack(e) { - const n = 2.5949095; - return e < 0.5 ? Math.pow(2 * e, 2) * ((n + 1) * 2 * e - n) / 2 : (Math.pow(2 * e - 2, 2) * ((n + 1) * (e * 2 - 2) + n) + 2) / 2; + const r = 2.5949095; + return e < 0.5 ? Math.pow(2 * e, 2) * ((r + 1) * 2 * e - r) / 2 : (Math.pow(2 * e - 2, 2) * ((r + 1) * (e * 2 - 2) + r) + 2) / 2; }, easeInElastic(e) { const t = 2 * Math.PI / 3; @@ -4385,424 +2038,75 @@ const Bn = ({ return e === 0 ? 0 : e === 1 ? 1 : e < 0.5 ? -(Math.pow(2, 20 * e - 10) * Math.sin((20 * e - 11.125) * t)) / 2 : Math.pow(2, -20 * e + 10) * Math.sin((20 * e - 11.125) * t) / 2 + 1; }, easeInBounce(e) { - return 1 - ge.easeOutBounce(1 - e); + return 1 - z.easeOutBounce(1 - e); }, easeOutBounce(e) { return e < 1 / 2.75 ? 7.5625 * e * e : e < 2 / 2.75 ? 7.5625 * (e -= 1.5 / 2.75) * e + 0.75 : e < 2.5 / 2.75 ? 7.5625 * (e -= 2.25 / 2.75) * e + 0.9375 : 7.5625 * (e -= 2.625 / 2.75) * e + 0.984375; }, easeInOutBounce(e) { - return e < 0.5 ? (1 - ge.easeOutBounce(1 - 2 * e)) / 2 : (1 + ge.easeOutBounce(2 * e - 1)) / 2; + return e < 0.5 ? (1 - z.easeOutBounce(1 - 2 * e)) / 2 : (1 + z.easeOutBounce(2 * e - 1)) / 2; } }); -function jn(e) { +function Rt(e) { let t = Math.sin(e * 12.9898) * 43758.5453; return t - Math.floor(t); } -const wr = (e, t = "easeOutQuart") => { - const n = e / 60, r = ge[t]; - return _( - (l) => { - let c = l.getElapsedTime() * n; - const i = Math.floor(c), d = r(c - i); - c = d + i; - const p = jn(i); +const qt = (e, t = "easeOutQuart") => { + const r = e / 60, a = z[t]; + return h( + (i) => { + let s = i.getElapsedTime() * r; + const c = Math.floor(s), l = a(s - c); + s = l + c; + const u = Rt(c); return { - beat: c, - floor: i, - fract: d, - hash: p + beat: s, + floor: c, + fract: l, + hash: u }; }, - [n, r] - ); -}, Tr = (e = 60) => { - const t = y(() => 1 / Math.max(Math.min(e, 60), 1), [e]), n = B(null); - return _( - (s) => { - const l = s.getElapsedTime(); - return n.current === null || l - n.current >= t ? (n.current = l, !0) : !1; - }, - [t] - ); -}, qn = (e) => { - var r, s; - const t = (r = e.dom) == null ? void 0 : r.length, n = (s = e.texture) == null ? void 0 : s.length; - return !t || !n || t !== n; -}; -var Wn = `varying vec2 vUv; - -void main() { - vUv = uv; - gl_Position = projectionMatrix * viewMatrix * modelMatrix * vec4(position, 1.0); -}`, Nn = `precision highp float; - -varying vec2 vUv; -uniform sampler2D u_texture; -uniform vec2 u_textureResolution; -uniform vec2 u_resolution; -uniform float u_borderRadius; - -void main() { - - float screenAspect = u_resolution.x / u_resolution.y; - float textureAspect = u_textureResolution.x / u_textureResolution.y; - vec2 ratio = vec2( - min(screenAspect / textureAspect, 1.0), - min(textureAspect / screenAspect, 1.0) - ); - - vec2 adjustedUv = vUv * ratio + (1.0 - ratio) * 0.5; - vec3 textureColor = texture2D(u_texture, adjustedUv).rgb; - float textureAlpha = texture2D(u_texture, adjustedUv).a; - - - float maxSide = max(u_resolution.x, u_resolution.y); - float minSide = min(u_resolution.x, u_resolution.y); - vec2 aspect = u_resolution / maxSide; - vec2 alphaUv = vUv - 0.5; - - float borderRadius = min(u_borderRadius, minSide * 0.5); - vec2 offset = vec2(borderRadius) / u_resolution; - vec2 alphaXY = smoothstep(vec2(0.5 - offset), vec2(0.5 - offset - 0.001), abs(alphaUv)); - float alpha = min(1.0, alphaXY.x + alphaXY.y); - - vec2 alphaUv2 = abs(vUv - 0.5); - float radius = borderRadius / maxSide; - alphaUv2 = (alphaUv2 - 0.5) * aspect + radius; - float roundAlpha = smoothstep(radius + 0.001, radius, length(alphaUv2)); - - alpha = min(1.0, alpha + roundAlpha); - - - alpha *= textureAlpha; - - gl_FragColor = vec4(textureColor, alpha); -}`; -const kn = ({ - params: e, - scene: t, - onBeforeInit: n -}) => { - t.children.length > 0 && (t.children.forEach((r) => { - r instanceof o.Mesh && (r.geometry.dispose(), r.material.dispose()); - }), t.remove(...t.children)), e.texture.forEach((r, s) => { - const l = new o.ShaderMaterial({ - ...V( - { - uniforms: { - u_texture: { value: r }, - u_textureResolution: { - value: new o.Vector2(0, 0) - }, - u_resolution: { value: new o.Vector2(0, 0) }, - u_borderRadius: { - value: e.boderRadius[s] ? e.boderRadius[s] : 0 - } - }, - vertexShader: Wn, - fragmentShader: Nn - }, - n - ), - ...I, - // Must be transparent. - transparent: !0 - }), c = new o.Mesh(new o.PlaneGeometry(1, 1), l); - t.add(c); - }); -}, Gn = () => { - const e = B([]), t = B([]); - return _( - ({ - isIntersectingRef: r, - isIntersectingOnceRef: s, - params: l - }) => { - e.current.length > 0 && e.current.forEach((i, d) => { - i.unobserve(t.current[d]); - }), t.current = [], e.current = []; - const c = new Array(l.dom.length).fill(!1); - r.current = [...c], s.current = [...c], l.dom.forEach((i, d) => { - const p = (x) => { - x.forEach((a) => { - l.onIntersect[d] && l.onIntersect[d](a), r.current[d] = a.isIntersecting; - }); - }, f = new IntersectionObserver(p, { - rootMargin: "0px", - threshold: 0 - }); - f.observe(i), e.current.push(f), t.current.push(i); - }); - }, - [] - ); -}, Kn = () => { - const e = B([]), t = _( - ({ - params: n, - customParams: r, - size: s, - resolutionRef: l, - scene: c, - isIntersectingRef: i - }) => { - c.children.length !== e.current.length && (e.current = new Array(c.children.length)), c.children.forEach((d, p) => { - var a, v, u, m, h, M; - const f = n.dom[p]; - if (!f) - return; - const x = f.getBoundingClientRect(); - if (e.current[p] = x, d.scale.set(x.width, x.height, 1), d.position.set( - x.left + x.width * 0.5 - s.width * 0.5, - -x.top - x.height * 0.5 + s.height * 0.5, - 0 - ), i.current[p] && (n.rotation[p] && d.rotation.copy(n.rotation[p]), d instanceof o.Mesh)) { - const b = d.material, g = R(b), S = F(b); - g("u_texture", n.texture[p]), g("u_textureResolution", [ - ((u = (v = (a = n.texture[p]) == null ? void 0 : a.source) == null ? void 0 : v.data) == null ? void 0 : u.width) || 0, - ((M = (h = (m = n.texture[p]) == null ? void 0 : m.source) == null ? void 0 : h.data) == null ? void 0 : M.height) || 0 - ]), g( - "u_resolution", - l.current.set(x.width, x.height) - ), g( - "u_borderRadius", - n.boderRadius[p] ? n.boderRadius[p] : 0 - ), S(r); - } - }); - }, - [] + [r, a] ); - return [e.current, t]; -}, Hn = () => { - const e = B([]), t = B([]), n = _((r, s = !1) => { - e.current.forEach((c, i) => { - c && (t.current[i] = !0); - }); - const l = s ? [...t.current] : [...e.current]; - return r < 0 ? l : l[r]; - }, []); - return { - isIntersectingRef: e, - isIntersectingOnceRef: t, - isIntersecting: n - }; -}, Xn = (e) => ({ onView: n, onHidden: r }) => { - const s = B(!1); - Z(() => { - let l; - const c = () => { - e.current.some((i) => i) ? s.current || (n && n(), s.current = !0) : s.current && (r && r(), s.current = !1), l = requestAnimationFrame(c); - }; - return l = requestAnimationFrame(c), () => { - cancelAnimationFrame(l); +}, xe = { passive: !0 }, Gt = (e) => { + const t = T(new o.Vector2(0)); + return K(() => { + const r = (i, s) => { + t.current.set( + (i - e.left) / e.width * 2 - 1, + -((s - e.top) / e.height) * 2 + 1 + ); + }, a = (i) => { + const s = i.touches[0]; + r(s.clientX, s.clientY); + }, n = (i) => { + r(i.clientX, i.clientY); }; - }, [n, r]); -}, Yn = { - texture: [], - dom: [], - boderRadius: [], - rotation: [], - onIntersect: [] -}, Dr = ({ size: e, dpr: t, isSizeUpdate: n, renderTargetOptions: r, onBeforeInit: s }, l = []) => { - const c = U(t), i = y(() => new o.Scene(), []), d = L(e), [p, f] = $({ - scene: i, - camera: d, - size: e, - dpr: c.fbo, - isSizeUpdate: n, - ...r - }), [x, a] = j({ - ...Yn, - updateKey: performance.now() - }), [v, u] = Kn(), m = B(new o.Vector2(0, 0)), [h, M] = Be(!0); - y( - () => M(!0), - // eslint-disable-next-line react-hooks/exhaustive-deps - l - ); - const b = B(null), g = y(() => w, []), S = Gn(), { isIntersectingOnceRef: C, isIntersectingRef: T, isIntersecting: A } = Hn(), z = Xn(T), P = y(() => (D, k) => { - a(D), u({ - params: x, - customParams: k, - size: e, - resolutionRef: m, - scene: i, - isIntersectingRef: T - }); - }, [T, a, u, e, i, x]); - return [ - _( - (D, k, H) => { - const { gl: ee, size: te } = D; - if (P(k, H), qn(x)) - return g; - if (h) { - if (b.current === x.updateKey) - return g; - b.current = x.updateKey; - } - return h && (kn({ - params: x, - size: te, - scene: i, - onBeforeInit: s - }), S({ - isIntersectingRef: T, - isIntersectingOnceRef: C, - params: x - }), M(!1)), f(ee); - }, - [ - f, - S, - s, - P, - h, - i, - x, - C, - T, - g - ] - ), - P, - { - scene: i, - camera: d, - renderTarget: p, - output: p.texture, - isIntersecting: A, - DOMRects: v, - intersections: T.current, - useDomView: z - } - ]; -}, Pr = (e, t) => { - const { - scene: n, - camera: r, - size: s, - dpr: l = !1, - isSizeUpdate: c = !1, - depth: i = !1, - ...d - } = e, p = B([]), f = K(s, l); - p.current = y(() => Array.from({ length: t }, () => { - const a = new o.WebGLRenderTarget( - f.x, - f.y, - { - ...he, - ...d - } - ); - return i && (a.depthTexture = new o.DepthTexture( - f.x, - f.y, - o.FloatType - )), a; - }), [t]), c && p.current.forEach( - (a) => a.setSize(f.x, f.y) - ), Z(() => { - const a = p.current; - return () => { - a.forEach((v) => v.dispose()); + return window.addEventListener("touchmove", a, xe), window.addEventListener("pointermove", n, xe), () => { + window.removeEventListener("touchmove", a), window.removeEventListener("pointermove", n); }; - }, [t]); - const x = _( - (a, v, u) => { - const m = p.current[v]; - return _e({ - gl: a, - scene: n, - camera: r, - fbo: m, - onBeforeRender: () => u && u({ read: m.texture }) - }), m.texture; - }, - [n, r] - ); - return [p.current, x]; -}, Rr = Object.freeze({ - interpolate(e, t, n, r = 1e-6) { - const s = e + (t - e) * n; - return Math.abs(s) < r ? 0 : s; - }, - smoothstep(e, t, n) { - const r = Math.min(Math.max((n - e) / (t - e), 0), 1); - return r * r * (3 - 2 * r); - } -}); + }, [e]), t.current; +}; export { - en as ALPHABLENDING_PARAMS, - Cn as BLANK_PARAMS, - ve as BLENDING_PARAMS, - de as BRIGHTNESSPICKER_PARAMS, - re as BRUSH_PARAMS, - Q as CHROMAKEY_PARAMS, - Y as COLORSTRATA_PARAMS, - ce as COSPALETTE_PARAMS, - sn as COVERTEXTURE_PARAMS, - Ae as DELTA_TIME, - Yn as DOMSYNCER_PARAMS, - be as DUOTONE_PARAMS, - ge as Easing, - he as FBO_DEFAULT_OPTION, - yt as FLUID_PARAMS, - Ve as FXBLENDING_PARAMS, - ae as FXTEXTURE_PARAMS, - Me as HSV_PARAMS, - ue as MARBLE_PARAMS, - O as MORPHPARTICLES_PARAMS, - fe as MOTIONBLUR_PARAMS, - oe as NOISE_PARAMS, - yr as RAWBLANK_PARAMS, - _t as RIPPLE_PARAMS, - Fe as SIMPLEBLUR_PARAMS, - Xe as ShaderChunk, - Rr as Utils, - me as WAVE_PARAMS, - W as WOBBLE3D_PARAMS, - _e as renderFBO, - F as setCustomUniform, - R as setUniform, - _r as useAddMesh, - vr as useAlphaBlending, - wr as useBeat, - xr as useBlank, - ur as useBlending, - lr as useBrightnessPicker, - Jn as useBrush, - L as useCamera, - hr as useChromaKey, - rr as useColorStrata, - Pr as useCopyTexture, - ar as useCosPalette, - pr as useCoverTexture, - In as useCreateMorphParticles, - Ln as useCreateWobble3D, - Dr as useDomSyncer, - se as useDoubleFBO, - ir as useDuoTone, - Tr as useFPSLimiter, - er as useFluid, - cr as useFxBlending, - sr as useFxTexture, - mr as useHSV, - or as useMarble, - Mr as useMorphParticles, - fr as useMotionBlur, - nr as useNoise, - j as useParams, - Se as usePointer, - br as useRawBlank, - Cr as useResizeBoundary, - K as useResolution, - tr as useRipple, - dr as useSimpleBlur, - $ as useSingleFBO, - gr as useWave, - Sr as useWobble3D + re as BASICFX_VALUES, + oe as BlankMaterial, + bt as BufferMaterial, + kt as FluidMaterials, + ce as GridMaterial, + gt as NoiseMaterial, + ie as RawBlankMaterial, + ue as getFxKeyFromUniforms, + Pe as handleUpdateFxDefines, + qt as useBeat, + Nt as useBlank, + zt as useBuffer, + he as useDoubleFBO, + jt as useFluid, + Xt as useGrid, + $t as useNoise, + Et as usePointerTracker, + Kt as useRawBlank, + b as useSingleFBO, + Gt as useWindowPointer }; //# sourceMappingURL=use-shader-fx.js.map diff --git a/packages/use-shader-fx/build/use-shader-fx.js.map b/packages/use-shader-fx/build/use-shader-fx.js.map index a4c30435..06e78f64 100644 --- a/packages/use-shader-fx/build/use-shader-fx.js.map +++ b/packages/use-shader-fx/build/use-shader-fx.js.map @@ -1 +1 @@ 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<planeVertex>","precision highp float;\n\nuniform sampler2D uBuffer;\nuniform sampler2D uTexture;\nuniform bool uIsTexture;\nuniform sampler2D uMap;\nuniform bool uIsMap;\nuniform float uMapIntensity;\nuniform float uRadius;\nuniform float uDissipation;\nuniform vec2 uResolution;\nuniform float uSmudge;\nuniform vec2 uMouse;\nuniform vec2 uPrevMouse;\nuniform vec2 uVelocity;\nuniform vec3 uColor;\nuniform float uMotionBlur;\nuniform int uMotionSample;\nuniform bool uIsCursor;\nuniform float uPressureStart;\nuniform float uPressureEnd;\n\nvarying vec2 vUv;\n\nfloat isOnLine(vec2 point, vec2 start, vec2 end, float radius, float pressureStart, float pressureEnd) {\n\t\n\tfloat aspect = uResolution.x / uResolution.y;\n\n\tpoint.x *= aspect;\n\tstart.x *= aspect;\n\tend.x *= aspect;\n\n\tvec2 dir = normalize(end - start);\n\tvec2 n = vec2(dir.y, -dir.x);\n\tvec2 p0 = point - start;\n\t\n\tfloat distToLine = abs(dot(p0, n));\n\tfloat distAlongLine = dot(p0, dir);\n\tfloat totalLength = length(end - start);\n\n\tfloat progress = clamp(distAlongLine / totalLength, 0.0, 1.0);\n\tfloat pressure = mix(pressureStart, pressureEnd, progress);\n\tradius = min(radius,radius * pressure);\n\n\tfloat distFromStart = length(point - start);\n\tfloat distFromEnd = length(point - end);\n\t\n\tbool withinLine = (distToLine < radius && distAlongLine > 0.0 && distAlongLine < totalLength) || distFromStart < radius || distFromEnd < radius;\n\n\treturn float(withinLine);\n}\n\nvec4 createSmudge(vec2 uv){\n\tvec2 offsets[9];\n\toffsets[0] = vec2(-1, -1); offsets[1] = vec2( 0, -1); offsets[2] = vec2( 1, -1);\n\toffsets[3] = vec2(-1, 0); offsets[4] = vec2( 0, 0); offsets[5] = vec2( 1, 0);\n\toffsets[6] = vec2(-1, 1); offsets[7] = vec2( 0, 1); offsets[8] = vec2( 1, 1);\n\n\tfor(int i = 0; i < 9; i++) {\n\t\toffsets[i] = (offsets[i] * uSmudge) / uResolution;\n\t}\t\n\tvec4 smudgedColor = vec4(0.);\n\tfor(int i = 0; i < 9; i++) {\n\t\tsmudgedColor += texture2D(uBuffer, uv + offsets[i]);\n\t}\n\treturn smudgedColor / 9.0;\n}\n\nvec4 createMotionBlur(vec2 uv , vec4 baseColor, vec2 velocity) {\n\tvec2 scaledV = velocity * uMotionBlur;\n\tfor(int i = 1; i < uMotionSample; i++) {\n\t\tfloat t = float(i) / float(uMotionSample - 1);\n\t\tvec2 offset = t * scaledV / uResolution;\n\t\tbaseColor += texture2D(uBuffer, uv + offset);\n\t}\n\treturn baseColor / float(uMotionSample);\n}\n\nvoid main() {\n\n\tvec2 uv = vUv;\n\tif(uIsMap){\n\t\tvec2 mapColor = texture2D(uMap, uv).rg;\n\t\tvec2 normalizedMap = mapColor * 2.0 - 1.0;\n\t\tuv = uv * 2.0 - 1.0;\n\t\tuv *= mix(vec2(1.0), abs(normalizedMap.rg), uMapIntensity);\n\t\tuv = (uv + 1.0) / 2.0;\n\t}\n\tvec2 suv = uv*2.-1.;\n\n\tvec2 velocity = uVelocity * uResolution;\n\n\tfloat radius = max(0.0,uRadius);\n\t\n\tvec4 smudgedColor = uSmudge > 0. ? createSmudge(uv) : texture2D(uBuffer, uv);\n\n\tvec4 motionBlurredColor = uMotionBlur > 0. ? createMotionBlur(uv,smudgedColor, velocity) : smudgedColor;\n\n\tvec4 bufferColor = motionBlurredColor;\n\tbufferColor.a = bufferColor.a < 1e-10 ? 0.0 : bufferColor.a * uDissipation;\n\t\n\tvec4 brushColor = uIsTexture ? texture2D(uTexture, uv) : vec4(uColor,1.);\n\t\n\tfloat onLine = isOnLine(suv, uPrevMouse, uMouse, radius, uPressureStart,uPressureEnd);\n\tfloat isOnLine = length(velocity) > 0. ? onLine : uIsCursor ? onLine : 0.;\n\n\tvec4 finalColor = mix(bufferColor, brushColor, isOnLine);\n\n\tgl_FragColor = finalColor;\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport { Size } from \"../fxs/types\";\n\n/**\n * @params dpr if dpr is set, it returns the resolution which is size multiplied by dpr.\n */\nexport const useResolution = (size: Size, dpr: number | false = false) => {\n const _width = dpr ? size.width * dpr : size.width;\n const _height = dpr ? size.height * dpr : size.height;\n\n const resolution = useMemo(\n () => new THREE.Vector2(_width, _height),\n [_width, _height]\n );\n return resolution;\n};\n","import * as THREE from \"three\";\ntype UniformValue =\n | THREE.CubeTexture\n | THREE.Texture\n | Int32Array\n | Float32Array\n | THREE.Matrix4\n | THREE.Matrix3\n | THREE.Quaternion\n | THREE.Vector4\n | THREE.Vector3\n | THREE.Vector2\n | THREE.Color\n | number\n | boolean\n | Array<any>\n | null\n | undefined;\ntype UniformObject = { [key: string]: { value: UniformValue } };\n\nexport const setUniform =\n <T extends UniformObject>(material: { uniforms: T }) =>\n (key: keyof T, value: UniformValue) => {\n if (value === undefined) {\n return;\n }\n const uniforms = material.uniforms;\n if (uniforms && uniforms[key]) {\n uniforms[key].value = value;\n }\n };\n\nexport type CustomParams = { [uniform: string]: UniformValue };\nexport const setCustomUniform =\n (material: { uniforms: UniformObject }) =>\n (customParams: CustomParams | undefined) => {\n if (customParams === undefined) {\n return;\n }\n Object.keys(customParams).forEach((key) => {\n const uniforms = material.uniforms;\n if (uniforms && uniforms[key]) {\n uniforms[key].value = customParams[key];\n }\n });\n };\n","import * as THREE from \"three\";\nimport { useEffect, useMemo } from \"react\";\n\ntype Object3DConstructor<T, M extends THREE.Material> = new (\n geometry: THREE.BufferGeometry,\n material: M\n) => T;\n\n/**\n * Add geometry and material to Object3D and add them to scene.\n */\nexport const useAddObject = <\n T extends THREE.Object3D,\n M extends THREE.Material\n>(\n scene: THREE.Scene | false,\n geometry: THREE.BufferGeometry,\n material: M,\n Proto: Object3DConstructor<T, M>\n) => {\n const object3D = useMemo(() => {\n const obj = new Proto(geometry, material);\n scene && scene.add(obj);\n return obj;\n }, [geometry, material, Proto, scene]);\n\n useEffect(() => {\n return () => {\n scene && scene.remove(object3D);\n geometry.dispose();\n material.dispose();\n };\n }, [scene, geometry, material, object3D]);\n\n return object3D;\n};\n","import * as THREE from \"three\";\n\nexport const ISDEV = process.env.NODE_ENV === \"development\";\n\nexport const MATERIAL_BASIC_PARAMS = {\n transparent: false,\n depthTest: false,\n depthWrite: false,\n};\n\nexport const DEFAULT_TEXTURE = new THREE.DataTexture(\n new Uint8Array([0, 0, 0, 0]),\n 1,\n 1,\n THREE.RGBAFormat\n);\n","//\tSimplex 4D Noise \n//\tby Ian McEwan, Ashima Arts\n//\nvec4 permute(vec4 x){return mod(((x*34.0)+1.0)*x, 289.0);}\nfloat permute(float x){return floor(mod(((x*34.0)+1.0)*x, 289.0));}\nvec4 taylorInvSqrt(vec4 r){return 1.79284291400159 - 0.85373472095314 * r;}\nfloat taylorInvSqrt(float r){return 1.79284291400159 - 0.85373472095314 * r;}\n\nvec4 grad4(float j, vec4 ip)\n{\n\tconst vec4 ones = vec4(1.0, 1.0, 1.0, -1.0);\n\tvec4 p,s;\n\n\tp.xyz = floor( fract (vec3(j) * ip.xyz) * 7.0) * ip.z - 1.0;\n\tp.w = 1.5 - dot(abs(p.xyz), ones.xyz);\n\ts = vec4(lessThan(p, vec4(0.0)));\n\tp.xyz = p.xyz + (s.xyz*2.0 - 1.0) * s.www; \n\n\treturn p;\n}\n\nfloat simplexNoise4d(vec4 v)\n{\n\tconst vec2 C = vec2( 0.138196601125010504, // (5 - sqrt(5))/20 G4\n\t\t\t\t\t\t\t\t\t0.309016994374947451); // (sqrt(5) - 1)/4 F4\n\t// First corner\n\tvec4 i = floor(v + dot(v, C.yyyy) );\n\tvec4 x0 = v - i + dot(i, C.xxxx);\n\n\t// Other corners\n\n\t// Rank sorting originally contributed by Bill Licea-Kane, AMD (formerly ATI)\n\tvec4 i0;\n\n\tvec3 isX = step( x0.yzw, x0.xxx );\n\tvec3 isYZ = step( x0.zww, x0.yyz );\n\t// i0.x = dot( isX, vec3( 1.0 ) );\n\ti0.x = isX.x + isX.y + isX.z;\n\ti0.yzw = 1.0 - isX;\n\n\t// i0.y += dot( isYZ.xy, vec2( 1.0 ) );\n\ti0.y += isYZ.x + isYZ.y;\n\ti0.zw += 1.0 - isYZ.xy;\n\n\ti0.z += isYZ.z;\n\ti0.w += 1.0 - isYZ.z;\n\n\t// i0 now contains the unique values 0,1,2,3 in each channel\n\tvec4 i3 = clamp( i0, 0.0, 1.0 );\n\tvec4 i2 = clamp( i0-1.0, 0.0, 1.0 );\n\tvec4 i1 = clamp( i0-2.0, 0.0, 1.0 );\n\n\t// x0 = x0 - 0.0 + 0.0 * C \n\tvec4 x1 = x0 - i1 + 1.0 * C.xxxx;\n\tvec4 x2 = x0 - i2 + 2.0 * C.xxxx;\n\tvec4 x3 = x0 - i3 + 3.0 * C.xxxx;\n\tvec4 x4 = x0 - 1.0 + 4.0 * C.xxxx;\n\n\t// Permutations\n\ti = mod(i, 289.0); \n\tfloat j0 = permute( permute( permute( permute(i.w) + i.z) + i.y) + i.x);\n\tvec4 j1 = permute( permute( permute( permute (\n\t\t\t\t\ti.w + vec4(i1.w, i2.w, i3.w, 1.0 ))\n\t\t\t\t+ i.z + vec4(i1.z, i2.z, i3.z, 1.0 ))\n\t\t\t\t+ i.y + vec4(i1.y, i2.y, i3.y, 1.0 ))\n\t\t\t\t+ i.x + vec4(i1.x, i2.x, i3.x, 1.0 ));\n\t// Gradients\n\t// ( 7*7*6 points uniformly over a cube, mapped onto a 4-octahedron.)\n\t// 7*7*6 = 294, which is close to the ring size 17*17 = 289.\n\n\tvec4 ip = vec4(1.0/294.0, 1.0/49.0, 1.0/7.0, 0.0) ;\n\n\tvec4 p0 = grad4(j0, ip);\n\tvec4 p1 = grad4(j1.x, ip);\n\tvec4 p2 = grad4(j1.y, ip);\n\tvec4 p3 = grad4(j1.z, ip);\n\tvec4 p4 = grad4(j1.w, ip);\n\n\t// Normalise gradients\n\tvec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\n\tp0 *= norm.x;\n\tp1 *= norm.y;\n\tp2 *= norm.z;\n\tp3 *= norm.w;\n\tp4 *= taylorInvSqrt(dot(p4,p4));\n\n\t// Mix contributions from the five corners\n\tvec3 m0 = max(0.6 - vec3(dot(x0,x0), dot(x1,x1), dot(x2,x2)), 0.0);\n\tvec2 m1 = max(0.6 - vec2(dot(x3,x3), dot(x4,x4) ), 0.0);\n\tm0 = m0 * m0;\n\tm1 = m1 * m1;\n\treturn 49.0 * ( dot(m0*m0, vec3( dot( p0, x0 ), dot( p1, x1 ), dot( p2, x2 )))\n\t\t\t\t\t\t+ dot(m1*m1, vec2( dot( p3, x3 ), dot( p4, x4 ) ) ) ) ;\n\n}\n\nfloat getWobble(vec3 position)\n{\n\tvec3 warpedPosition = position;\n\twarpedPosition += simplexNoise4d(\n\t\tvec4(\n\t\t\t\tposition * uWarpPositionFrequency,\n\t\t\t\tuTime * uWarpTimeFrequency\n\t\t)\n\t) * uWarpStrength;\n\n\treturn simplexNoise4d(vec4(\n\t\twarpedPosition * uWobblePositionFrequency, // XYZ\n\t\tuTime * uWobbleTimeFrequency // W\n\t)) * uWobbleStrength;\n}","// <www.shadertoy.com/view/XsX3zB>\n//\tby Nikita Miropolskiy\n\n/* discontinuous pseudorandom uniformly distributed in [-0.5, +0.5]^3 */\nvec3 random3(vec3 c) {\n\tfloat j = 4096.0*sin(dot(c,vec3(17.0, 59.4, 15.0)));\n\tvec3 r;\n\tr.z = fract(512.0*j);\n\tj *= .125;\n\tr.x = fract(512.0*j);\n\tj *= .125;\n\tr.y = fract(512.0*j);\n\treturn r-0.5;\n}\n\nconst float F3 = 0.3333333;\nconst float G3 = 0.1666667;\n\nfloat snoise(vec3 p) {\n\n\tvec3 s = floor(p + dot(p, vec3(F3)));\n\tvec3 x = p - s + dot(s, vec3(G3));\n\t\n\tvec3 e = step(vec3(0.0), x - x.yzx);\n\tvec3 i1 = e*(1.0 - e.zxy);\n\tvec3 i2 = 1.0 - e.zxy*(1.0 - e);\n \t\n\tvec3 x1 = x - i1 + G3;\n\tvec3 x2 = x - i2 + 2.0*G3;\n\tvec3 x3 = x - 1.0 + 3.0*G3;\n\t \n\tvec4 w, d;\n\t \n\tw.x = dot(x, x);\n\tw.y = dot(x1, x1);\n\tw.z = dot(x2, x2);\n\tw.w = dot(x3, x3);\n\t \n\tw = max(0.6 - w, 0.0);\n\t \n\td.x = dot(random3(s), x);\n\td.y = dot(random3(s + i1), x1);\n\td.z = dot(random3(s + i2), x2);\n\td.w = dot(random3(s + 1.0), x3);\n\t \n\tw *= w;\n\tw *= w;\n\td *= w;\n\t \n\treturn dot(d, vec4(52.0));\n}\n\nfloat snoiseFractal(vec3 m) {\n\treturn 0.5333333* snoise(m)\n\t\t\t\t+0.2666667* snoise(2.0*m)\n\t\t\t\t+0.1333333* snoise(4.0*m)\n\t\t\t\t+0.0666667* snoise(8.0*m);\n}","float screenAspect = uResolution.x / uResolution.y;\nfloat textureAspect = uTextureResolution.x / uTextureResolution.y;\nvec2 aspectRatio = vec2(\n\tmin(screenAspect / textureAspect, 1.0),\n\tmin(textureAspect / screenAspect, 1.0)\n);\nvec2 uv = vUv * aspectRatio + (1.0 - aspectRatio) * .5;","vec3 mapColor = texture2D(uMap, uv).rgb;\nvec3 normalizedMap = mapColor * 2.0 - 1.0;\n\nuv = uv * 2.0 - 1.0;\nuv *= mix(vec2(1.0), abs(normalizedMap.rg), uMapIntensity);\nuv = (uv + 1.0) / 2.0;","precision highp float;\n\nvarying vec2 vUv;\n\nvoid main() {\n\tvUv = uv;\n\tgl_Position = vec4(position, 1.0);\n}","varying vec2 vUv;\n\nvoid main() {\n\tvUv = uv;\n\tgl_Position = projectionMatrix * modelViewMatrix * vec4(position, 1.0);\n}","vec3 hsv2rgb(vec3 c)\n{\n vec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0);\n vec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www);\n return c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y);\n}","vec3 rgb2hsv(vec3 c)\n{\n vec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0);\n vec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, K.xy), step(c.b, c.g));\n vec4 q = mix(vec4(p.xyw, c.r), vec4(c.r, p.yzx), step(p.x, c.r));\n\n float d = q.x - min(q.w, q.y);\n float e = 1.0e-10;\n return vec3(abs(q.z + (q.w - q.y) / (6.0 * d + e)), d / (q.x + e), q.x);\n}","import wobble3D from \"./shaderChunk/wobble3D.glsl\";\nimport snoise from \"./shaderChunk/snoise.glsl\";\nimport coverTexture from \"./shaderChunk/coverTexture.glsl\";\nimport fxBlending from \"./shaderChunk/fxBlending.glsl\";\nimport planeVertex from \"./shaderChunk/planeVertex.glsl\";\nimport defaultVertex from \"./shaderChunk/defaultVertex.glsl\";\nimport hsv2rgb from \"./shaderChunk/hsv2rgb.glsl\";\nimport rgb2hsv from \"./shaderChunk/rgb2hsv.glsl\";\n\nexport type ShaderChunkTypes =\n | \"wobble3D\"\n | \"snoise\"\n | \"coverTexture\"\n | \"fxBlending\"\n | \"planeVertex\"\n | \"defaultVertex\"\n | \"hsv2rgb\"\n | \"rgb2hsv\";\n\nexport const ShaderChunk: { [K in ShaderChunkTypes]: string } = Object.freeze({\n wobble3D,\n snoise,\n coverTexture,\n fxBlending,\n planeVertex,\n defaultVertex,\n hsv2rgb,\n rgb2hsv,\n});\n","import { ShaderChunk, ShaderChunkTypes } from \"./ShaderChunk\";\n\nconst includePattern = /^[ \\t]*#usf +<([\\w\\d./]+)>/gm;\n\nfunction includeReplacer(match: string, include: ShaderChunkTypes): string {\n return resolveIncludes(ShaderChunk[include] || \"\");\n}\n\nfunction resolveIncludes(string: string): string {\n return string.replace(includePattern, includeReplacer);\n}\n\nexport { resolveIncludes };\n","import { resolveIncludes } from \"../libs/shaders/resolveShaders\";\nimport { OnBeforeInitParameters } from \"../fxs/types\";\n\nexport const createMaterialParameters = (\n parameters: OnBeforeInitParameters,\n onBeforeInit?: (parameters: OnBeforeInitParameters) => void\n) => {\n onBeforeInit && onBeforeInit(parameters);\n parameters.vertexShader = resolveIncludes(parameters.vertexShader);\n parameters.fragmentShader = resolveIncludes(parameters.fragmentShader);\n return parameters;\n};\n","import * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useMemo } from \"react\";\nimport { useResolution } from \"../../../utils/useResolution\";\nimport { setUniform } from \"../../../utils/setUniforms\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n DEFAULT_TEXTURE,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../libs/constants\";\nimport { BRUSH_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class BrushMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uBuffer: { value: THREE.Texture };\n uTexture: { value: THREE.Texture };\n uIsTexture: { value: boolean };\n uMap: { value: THREE.Texture };\n uIsMap: { value: boolean };\n uMapIntensity: { value: number };\n uResolution: { value: THREE.Vector2 };\n uRadius: { value: number };\n uSmudge: { value: number };\n uDissipation: { value: number };\n uMotionBlur: { value: number };\n uMotionSample: { value: number };\n uMouse: { value: number };\n uPrevMouse: { value: number };\n uVelocity: { value: number };\n uColor: { value: THREE.Vector3 | THREE.Color };\n uIsCursor: { value: boolean };\n uPressureStart: { value: number };\n uPressureEnd: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uBuffer: { value: DEFAULT_TEXTURE },\n uResolution: { value: new THREE.Vector2(0, 0) },\n uTexture: { value: DEFAULT_TEXTURE },\n uIsTexture: { value: false },\n uMap: { value: DEFAULT_TEXTURE },\n uIsMap: { value: false },\n uMapIntensity: { value: BRUSH_PARAMS.mapIntensity },\n uRadius: { value: BRUSH_PARAMS.radius },\n uSmudge: { value: BRUSH_PARAMS.smudge },\n uDissipation: { value: BRUSH_PARAMS.dissipation },\n uMotionBlur: { value: BRUSH_PARAMS.motionBlur },\n uMotionSample: { value: BRUSH_PARAMS.motionSample },\n uMouse: { value: new THREE.Vector2(-10, -10) },\n uPrevMouse: { value: new THREE.Vector2(-10, -10) },\n uVelocity: { value: new THREE.Vector2(0, 0) },\n uColor: { value: BRUSH_PARAMS.color },\n uIsCursor: { value: false },\n uPressureStart: { value: 1.0 },\n uPressureEnd: { value: 1.0 },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n // Must be transparent\n transparent: true,\n });\n\n return mat;\n }, [onBeforeInit]) as BrushMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useResolution } from \"./useResolution\";\nimport { useMemo } from \"react\";\nimport { Size } from \"../fxs/types\";\n\nconst getCameraProps = (width: number, height: number) => {\n const frustumSize = height;\n const aspect = width / height;\n const [w, h] = [(frustumSize * aspect) / 2, frustumSize / 2];\n return { width: w, height: h, near: -1000, far: 1000 };\n};\n\nexport const useCamera = (\n size: Size,\n cameraType: \"OrthographicCamera\" | \"PerspectiveCamera\" = \"OrthographicCamera\"\n) => {\n const resolution = useResolution(size);\n const { width, height, near, far } = getCameraProps(\n resolution.x,\n resolution.y\n );\n const camera = useMemo(() => {\n return cameraType === \"OrthographicCamera\"\n ? new THREE.OrthographicCamera(\n -width,\n width,\n height,\n -height,\n near,\n far\n )\n : new THREE.PerspectiveCamera(50, width / height);\n }, [width, height, near, far, cameraType]);\n return camera;\n};\n","import * as THREE from \"three\";\nimport { useCallback, useRef } from \"react\";\n\nexport type PointerValues = {\n currentPointer: THREE.Vector2;\n prevPointer: THREE.Vector2;\n diffPointer: THREE.Vector2;\n velocity: THREE.Vector2;\n isVelocityUpdate: boolean;\n};\n\ntype UpdatePointer = (currentPointer: THREE.Vector2) => PointerValues;\n\n/**\n * @description When given the pointer vector2 from r3f's RootState, it generates an update function that returns {`currentPointer`, `prevPointer`, `diffPointer`, `isVelocityUpdate`, `velocity`}.\n * @description When calling custom in a `useFrame` loop, you can avoid duplication of execution by passing `pointerValues` to the update function of a Pointer-activated fxHook, such as `useBrush`.\n * @param lerp 0~1, lerp intensity (0 to less than 1) , default : `0`\n */\nexport const usePointer = (lerp: number = 0): UpdatePointer => {\n const prevPointer = useRef(new THREE.Vector2(0, 0));\n const diffPointer = useRef(new THREE.Vector2(0, 0));\n const lerpPointer = useRef(new THREE.Vector2(0, 0));\n const lastUpdateTime = useRef<number>(0);\n const velocity = useRef(new THREE.Vector2(0, 0));\n const isMoved = useRef(false);\n\n const updatePointer = useCallback(\n (currentPointer: THREE.Vector2) => {\n const now = performance.now();\n\n // lerp\n let current: THREE.Vector2;\n if (isMoved.current && lerp) {\n lerpPointer.current = lerpPointer.current.lerp(\n currentPointer,\n 1 - lerp\n );\n current = lerpPointer.current.clone();\n } else {\n current = currentPointer.clone();\n lerpPointer.current = current;\n }\n\n // first frame\n if (lastUpdateTime.current === 0) {\n lastUpdateTime.current = now;\n prevPointer.current = current;\n }\n const deltaTime = Math.max(1, now - lastUpdateTime.current);\n lastUpdateTime.current = now;\n\n // get velocity\n velocity.current\n .copy(current)\n .sub(prevPointer.current)\n .divideScalar(deltaTime);\n const isUpdate = velocity.current.length() > 0;\n\n //set prev temp pos\n const prevTemp = isMoved.current\n ? prevPointer.current.clone()\n : current;\n if (!isMoved.current && isUpdate) {\n isMoved.current = true;\n }\n prevPointer.current = current;\n\n return {\n currentPointer: current,\n prevPointer: prevTemp,\n diffPointer: diffPointer.current.subVectors(current, prevTemp),\n velocity: velocity.current,\n isVelocityUpdate: isUpdate,\n };\n },\n [lerp]\n );\n\n return updatePointer;\n};\n","import { useCallback, useRef } from \"react\";\n\ntype SetParams<T> = (newParams?: Partial<T>) => void;\ntype UseParamsReturn<T> = [T, SetParams<T>];\n\n/**\n * @param params Receives an initial value object. With structuredClone, deep copy and set, but if the object contains a function, just set it.\n */\nexport const useParams = <T extends object>(params: T): UseParamsReturn<T> => {\n const isContainsFunctions = (obj: object): boolean =>\n Object.values(obj).some((value) => typeof value === \"function\");\n const paramsRef = useRef(\n isContainsFunctions(params) ? params : structuredClone(params)\n );\n\n const setParams = useCallback<SetParams<T>>((newParams) => {\n if (newParams === undefined) {\n return;\n }\n for (const key in newParams) {\n const paramKey = key as keyof T;\n if (\n paramKey in paramsRef.current &&\n newParams[paramKey] !== undefined &&\n newParams[paramKey] !== null\n ) {\n paramsRef.current[paramKey] = newParams[paramKey]!;\n } else {\n console.error(\n `\"${String(\n paramKey\n )}\" does not exist in the params. or \"${String(\n paramKey\n )}\" is null | undefined`\n );\n }\n }\n }, []);\n return [paramsRef.current, setParams];\n};\n","import * as THREE from \"three\";\nimport { useCallback, useEffect, useMemo, useRef } from \"react\";\nimport { useResolution } from \"./useResolution\";\nimport { Size } from \"../fxs/types\";\n\nexport const FBO_DEFAULT_OPTION: THREE.RenderTargetOptions = {\n depthBuffer: false,\n};\n\nexport type UseFboProps = {\n scene: THREE.Scene;\n camera: THREE.Camera;\n size: Size;\n /** If dpr is set, dpr will be multiplied, default : `false` */\n dpr?: number | false;\n /** Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default : `false` */\n isSizeUpdate?: boolean;\n /** If set, the scene depth will be rendered into buffer.depthTexture. default : `false` */\n depth?: boolean;\n} & THREE.RenderTargetOptions;\n\nexport const renderFBO = ({\n gl,\n fbo,\n scene,\n camera,\n onBeforeRender,\n onSwap,\n}: {\n gl: THREE.WebGLRenderer;\n fbo: THREE.WebGLRenderTarget;\n scene: THREE.Scene;\n camera: THREE.Camera;\n onBeforeRender: () => void;\n onSwap?: () => void;\n}) => {\n gl.setRenderTarget(fbo);\n onBeforeRender();\n gl.clear();\n gl.render(scene, camera);\n onSwap && onSwap();\n gl.setRenderTarget(null);\n gl.clear();\n};\n\ntype UpdateRenderTarget = (\n gl: THREE.WebGLRenderer,\n /** call before FBO is rendered */\n onBeforeRender?: ({ read }: { read: THREE.Texture }) => void\n) => THREE.Texture;\n\ntype UseSingleFBOReturn = [THREE.WebGLRenderTarget, UpdateRenderTarget];\n\n/**\n * @param dpr If dpr is set, dpr will be multiplied, default:false\n * @param isSizeUpdate Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default:false\n * @param depthBuffer Unlike the default in three.js, the default is `false`.\n * @returns [THREE.WebGLRenderTarget , updateFBO] -Receives the RenderTarget as the first argument and the update function as the second argument.\n */\nexport const useSingleFBO = (props: UseFboProps): UseSingleFBOReturn => {\n const {\n scene,\n camera,\n size,\n dpr = false,\n isSizeUpdate = false,\n depth = false,\n ...renderTargetOptions\n } = props;\n\n const renderTarget = useRef<THREE.WebGLRenderTarget>();\n\n const resolution = useResolution(size, dpr);\n\n renderTarget.current = useMemo(\n () => {\n const target = new THREE.WebGLRenderTarget(\n resolution.x,\n resolution.y,\n {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n }\n );\n if (depth) {\n target.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n }\n return target;\n },\n // eslint-disable-next-line react-hooks/exhaustive-deps\n []\n );\n\n if (isSizeUpdate) {\n renderTarget.current?.setSize(resolution.x, resolution.y);\n }\n\n useEffect(() => {\n const temp = renderTarget.current;\n return () => {\n temp?.dispose();\n };\n }, []);\n\n const updateRenderTarget: UpdateRenderTarget = useCallback(\n (gl, onBeforeRender) => {\n const fbo = renderTarget.current!;\n renderFBO({\n gl,\n fbo,\n scene,\n camera,\n onBeforeRender: () =>\n onBeforeRender && onBeforeRender({ read: fbo.texture }),\n });\n return fbo.texture;\n },\n [scene, camera]\n );\n\n return [renderTarget.current, updateRenderTarget];\n};\n","import * as THREE from \"three\";\nimport { useCallback, useEffect, useMemo } from \"react\";\nimport { FBO_DEFAULT_OPTION, UseFboProps, renderFBO } from \"./useSingleFBO\";\nimport { useResolution } from \"./useResolution\";\n\nexport type DoubleRenderTarget = {\n read: THREE.WebGLRenderTarget;\n write: THREE.WebGLRenderTarget;\n};\n\ninterface WebGLDoubleRenderTarget extends DoubleRenderTarget {\n swap: () => void;\n}\n\ntype FBOUpdateFunction = (\n gl: THREE.WebGLRenderer,\n /** call before FBO is rendered */\n onBeforeRender?: ({\n read,\n write,\n }: {\n read: THREE.Texture;\n write: THREE.Texture;\n }) => void\n) => THREE.Texture;\n\ntype UseDoubleFBOReturn = [\n { read: THREE.WebGLRenderTarget; write: THREE.WebGLRenderTarget },\n FBOUpdateFunction\n];\n\n/**\n * @description Custom hook for setting up double buffering with WebGL render targets.\n * @param UseFboProps same as `useSingleFBO`\n */\nexport const useDoubleFBO = (props: UseFboProps): UseDoubleFBOReturn => {\n const {\n scene,\n camera,\n size,\n dpr = false,\n isSizeUpdate = false,\n depth = false,\n ...renderTargetOptions\n } = props;\n\n const resolution = useResolution(size, dpr);\n\n const renderTarget = useMemo<WebGLDoubleRenderTarget>(() => {\n const read = new THREE.WebGLRenderTarget(resolution.x, resolution.y, {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n });\n const write = new THREE.WebGLRenderTarget(resolution.x, resolution.y, {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n });\n\n if (depth) {\n read.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n write.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n }\n\n return {\n read: read,\n write: write,\n swap: function () {\n let temp = this.read;\n this.read = this.write;\n this.write = temp;\n },\n };\n // eslint-disable-next-line react-hooks/exhaustive-deps\n }, []);\n\n if (isSizeUpdate) {\n renderTarget.read?.setSize(resolution.x, resolution.y);\n renderTarget.write?.setSize(resolution.x, resolution.y);\n }\n\n useEffect(() => {\n const temp = renderTarget;\n return () => {\n temp.read?.dispose();\n temp.write?.dispose();\n };\n }, [renderTarget]);\n\n const updateRenderTarget: FBOUpdateFunction = useCallback(\n (gl, onBeforeRender) => {\n const fbo = renderTarget;\n renderFBO({\n gl,\n scene,\n camera,\n fbo: fbo.write!,\n onBeforeRender: () =>\n onBeforeRender &&\n onBeforeRender({\n read: fbo.read!.texture,\n write: fbo.write!.texture,\n }),\n onSwap: () => fbo.swap(),\n });\n return fbo.read?.texture as THREE.Texture;\n },\n [scene, camera, renderTarget]\n );\n\n return [\n { read: renderTarget.read, write: renderTarget.write },\n updateRenderTarget,\n ];\n};\n","import { Dpr } from \"../fxs/types\";\n\nexport const getDpr = (\n dpr: Dpr\n): { shader: number | false; fbo: number | false } => {\n if (typeof dpr === \"number\") {\n return { shader: dpr, fbo: dpr };\n }\n return {\n shader: dpr.shader ?? false,\n fbo: dpr.fbo ?? false,\n };\n};\n","import * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useCallback, useMemo, useRef } from \"react\";\nimport { RootState } from \"@react-three/fiber\";\nimport { PointerValues, usePointer } from \"../../../misc/usePointer\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { DoubleRenderTarget, useDoubleFBO } from \"../../../utils/useDoubleFBO\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type BrushParams = {\n /** Texture applied to the brush, If texture is true, it will take precedence over color , default : `false` */\n texture?: THREE.Texture | false;\n /** You can attach an fx map , default : `false` */\n map?: THREE.Texture | false;\n /** map intensity , default : `0.1` */\n mapIntensity?: number;\n /** size of the stamp, percentage of the size ,default : `0.05` */\n radius?: number;\n /** Strength of smudge effect , default : `0.0`*/\n smudge?: number;\n /** dissipation rate. If set to 1, it will remain. , default : `1.0` */\n dissipation?: number;\n /** Strength of motion blur , default : `0.0` */\n motionBlur?: number;\n /** Number of motion blur samples. Affects performance default : `5` */\n motionSample?: number;\n /** brush color , it accepts a function that returns THREE.Vector3.The function takes velocity:THREE.Vector2 as an argument. , default : `THREE.Vector3(1.0, 1.0, 1.0)` */\n color?:\n | ((velocity: THREE.Vector2) => THREE.Vector3)\n | THREE.Vector3\n | THREE.Color;\n /** Follows the cursor even if it loses speed , default : `false` */\n isCursor?: boolean;\n /** brush pressure (0 to 1) , default : `1.0` */\n pressure?: number;\n /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */\n pointerValues?: PointerValues | false;\n};\n\nexport type BrushObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: DoubleRenderTarget;\n output: THREE.Texture;\n};\n\nexport const BRUSH_PARAMS: BrushParams = Object.freeze({\n texture: false,\n map: false,\n mapIntensity: 0.1,\n radius: 0.05,\n smudge: 0.0,\n dissipation: 1.0,\n motionBlur: 0.0,\n motionSample: 5,\n color: new THREE.Vector3(1.0, 0.0, 0.0),\n isCursor: false,\n pressure: 1.0,\n pointerValues: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBrush = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<BrushParams, BrushObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n const camera = useCamera(size);\n const updatePointer = usePointer();\n const [renderTarget, updateRenderTarget] = useDoubleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<BrushParams>(BRUSH_PARAMS);\n\n const pressureEnd = useRef<number | null>(null);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: BrushParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: BrushParams,\n customParams?: CustomParams\n ) => {\n const { gl, pointer } = rootState;\n\n updateParams(newParams, customParams);\n\n if (params.texture!) {\n updateValue(\"uIsTexture\", true);\n updateValue(\"uTexture\", params.texture!);\n } else {\n updateValue(\"uIsTexture\", false);\n }\n\n if (params.map!) {\n updateValue(\"uIsMap\", true);\n updateValue(\"uMap\", params.map!);\n updateValue(\"uMapIntensity\", params.mapIntensity!);\n } else {\n updateValue(\"uIsMap\", false);\n }\n\n updateValue(\"uRadius\", params.radius!);\n updateValue(\"uSmudge\", params.smudge!);\n updateValue(\"uDissipation\", params.dissipation!);\n updateValue(\"uMotionBlur\", params.motionBlur!);\n updateValue(\"uMotionSample\", params.motionSample!);\n\n const pointerValues = params.pointerValues! || updatePointer(pointer);\n\n if (pointerValues.isVelocityUpdate) {\n updateValue(\"uMouse\", pointerValues.currentPointer);\n updateValue(\"uPrevMouse\", pointerValues.prevPointer);\n }\n updateValue(\"uVelocity\", pointerValues.velocity);\n\n const color: THREE.Vector3 | THREE.Color =\n typeof params.color === \"function\"\n ? params.color(pointerValues.velocity)\n : params.color!;\n updateValue(\"uColor\", color);\n\n updateValue(\"uIsCursor\", params.isCursor!);\n\n // pressure\n updateValue(\"uPressureEnd\", params.pressure!);\n if (pressureEnd.current === null) {\n pressureEnd.current = params.pressure!;\n }\n updateValue(\"uPressureStart\", pressureEnd.current);\n pressureEnd.current = params.pressure!;\n\n return updateRenderTarget(gl, ({ read }) => {\n updateValue(\"uBuffer\", read);\n });\n },\n [updateValue, updatePointer, updateRenderTarget, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.read.texture,\n },\n ];\n};\n","varying vec2 vUv;\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform vec2 texelSize;\n\nvoid main () {\n\tvUv = uv;\n\tvL = vUv - vec2(texelSize.x, 0.0);\n\tvR = vUv + vec2(texelSize.x, 0.0);\n\tvT = vUv + vec2(0.0, texelSize.y);\n\tvB = vUv - vec2(0.0, texelSize.y);\n\tgl_Position = vec4(position, 1.0);\n}","precision highp float;\n\nvoid main(){\n\tgl_FragColor = vec4(0.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/init.frag\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../../libs/constants\";\n\nexport const useInitialMaterial = () => {\n const initialMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, []);\n\n return initialMaterial as THREE.ShaderMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uVelocity;\nuniform sampler2D uSource;\nuniform vec2 texelSize;\nuniform float dt;\nuniform float dissipation;\n\nvoid main () {\n\tvec2 coord = vUv - dt * texture2D(uVelocity, vUv).xy * texelSize;\n\tgl_FragColor = vec4(dissipation * texture2D(uSource, coord).rgb,1.);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/advection.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport {\n DEFAULT_TEXTURE,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../../libs/constants\";\nimport { DELTA_TIME } from \"..\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class AdvectionMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uVelocity: { value: THREE.Texture };\n uSource: { value: THREE.Texture };\n texelSize: { value: THREE.Vector2 };\n dt: { value: number };\n dissipation: { value: number };\n };\n}\n\nexport const useAdvectionMaterial = ({ onBeforeInit }: MaterialProps) => {\n const advectionMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uVelocity: { value: DEFAULT_TEXTURE },\n uSource: { value: DEFAULT_TEXTURE },\n texelSize: { value: new THREE.Vector2() },\n dt: { value: DELTA_TIME },\n dissipation: { value: 0.0 },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return advectionMaterial as AdvectionMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform sampler2D uVelocity;\n\nvec2 sampleVelocity(in vec2 uv) {\n\tvec2 clampedUV = clamp(uv, 0.0, 1.0);\n\tvec2 multiplier = vec2(1.0, 1.0);\n\tmultiplier.x = uv.x < 0.0 || uv.x > 1.0 ? -1.0 : 1.0;\n\tmultiplier.y = uv.y < 0.0 || uv.y > 1.0 ? -1.0 : 1.0;\n\treturn multiplier * texture2D(uVelocity, clampedUV).xy;\n}\n\nvoid main () {\n\tfloat L = sampleVelocity(vL).x;\n\tfloat R = sampleVelocity(vR).x;\n\tfloat T = sampleVelocity(vT).y;\n\tfloat B = sampleVelocity(vB).y;\n\tfloat div = 0.5 * (R - L + T - B);\n\tgl_FragColor = vec4(div, 0.0, 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/divergence.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class DivergenceMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uVelocity: { value: THREE.Texture };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useDivergenceMaterial = ({ onBeforeInit }: MaterialProps) => {\n const divergenceMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uVelocity: { value: null },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]);\n\n return divergenceMaterial as DivergenceMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform sampler2D uPressure;\nuniform sampler2D uDivergence;\n\nvoid main () {\n\tfloat L = texture2D(uPressure, clamp(vL,0.,1.)).x;\n\tfloat R = texture2D(uPressure, clamp(vR,0.,1.)).x;\n\tfloat T = texture2D(uPressure, clamp(vT,0.,1.)).x;\n\tfloat B = texture2D(uPressure, clamp(vB,0.,1.)).x;\n\tfloat C = texture2D(uPressure, vUv).x;\n\tfloat divergence = texture2D(uDivergence, vUv).x;\n\tfloat pressure = (L + R + B + T - divergence) * 0.25;\n\tgl_FragColor = vec4(pressure, 0.0, 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/pressure.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class PressureMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uPressure: { value: THREE.Texture };\n uDivergence: { value: THREE.Texture };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const usePressureMaterial = ({ onBeforeInit }: MaterialProps) => {\n const pressureMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uPressure: { value: null },\n uDivergence: { value: null },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return pressureMaterial as PressureMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform sampler2D uVelocity;\n\nvoid main () {\n\tfloat L = texture2D(uVelocity, vL).y;\n\tfloat R = texture2D(uVelocity, vR).y;\n\tfloat T = texture2D(uVelocity, vT).x;\n\tfloat B = texture2D(uVelocity, vB).x;\n\tfloat vorticity = R - L - T + B;\n\tgl_FragColor = vec4(vorticity, 0.0, 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/curl.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class CurlMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uVelocity: { value: THREE.Texture };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useCurlMaterial = ({ onBeforeInit }: MaterialProps) => {\n const curlMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uVelocity: { value: null },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return curlMaterial as CurlMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform sampler2D uVelocity;\nuniform sampler2D uCurl;\nuniform float curl;\nuniform float dt;\n\nvoid main () {\n\tfloat T = texture2D(uCurl, vT).x;\n\tfloat B = texture2D(uCurl, vB).x;\n\tfloat C = texture2D(uCurl, vUv).x;\n\tvec2 force = vec2(abs(T) - abs(B), 0.0);\n\tforce *= 1.0 / length(force + 0.00001) * curl * C;\n\tvec2 vel = texture2D(uVelocity, vUv).xy;\n\tgl_FragColor = vec4(vel + force * dt, 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/vorticity.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../../libs/constants\";\nimport { DELTA_TIME } from \"..\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class VorticityMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uVelocity: { value: THREE.Texture };\n uCurl: { value: THREE.Texture };\n curl: { value: number };\n dt: { value: number };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useVorticityMaterial = ({ onBeforeInit }: MaterialProps) => {\n const vorticityMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uVelocity: { value: null },\n uCurl: { value: null },\n curl: { value: 0 },\n dt: { value: DELTA_TIME },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]);\n\n return vorticityMaterial as VorticityMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uTexture;\nuniform float value;\n\nvoid main () {\n\tgl_FragColor = value * texture2D(uTexture, vUv);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/clear.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class ClearMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n value: { value: number };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useClearMaterial = ({ onBeforeInit }: MaterialProps) => {\n const advectionMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n value: { value: 0.0 },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return advectionMaterial as ClearMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform sampler2D uPressure;\nuniform sampler2D uVelocity;\n\nvoid main () {\n\tfloat L = texture2D(uPressure, clamp(vL,0.,1.)).x;\n\tfloat R = texture2D(uPressure, clamp(vR,0.,1.)).x;\n\tfloat T = texture2D(uPressure, clamp(vT,0.,1.)).x;\n\tfloat B = texture2D(uPressure, clamp(vB,0.,1.)).x;\n\tvec2 velocity = texture2D(uVelocity, vUv).xy;\n\tvelocity.xy -= vec2(R - L, T - B);\n\tgl_FragColor = vec4(velocity, 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/gradientSubtract.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class GradientSubtractMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uPressure: { value: THREE.Texture };\n uVelocity: { value: THREE.Texture };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useGradientSubtractMaterial = ({\n onBeforeInit,\n}: MaterialProps) => {\n const gradientSubtractMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uPressure: { value: DEFAULT_TEXTURE },\n uVelocity: { value: DEFAULT_TEXTURE },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return gradientSubtractMaterial as GradientSubtractMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uTarget;\nuniform float aspectRatio;\nuniform vec3 color;\nuniform vec2 point;\nuniform float radius;\n\nvoid main () {\n\tvec2 nPoint = (point + vec2(1.0)) * 0.5;\n\tvec2 p = vUv - nPoint.xy;\n\tp.x *= aspectRatio;\n\tvec3 splat = exp(-dot(p, p) / radius) * color;\n\tvec3 base = texture2D(uTarget, vUv).xyz;\n\tgl_FragColor = vec4(base + splat, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/splat.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class SplatMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTarget: { value: THREE.Texture };\n aspectRatio: { value: number };\n color: { value: THREE.Vector3 | THREE.Color };\n point: { value: THREE.Vector2 };\n radius: { value: number };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useSplatMaterial = ({ onBeforeInit }: MaterialProps) => {\n const splatMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTarget: { value: DEFAULT_TEXTURE },\n aspectRatio: { value: 0 },\n color: { value: new THREE.Vector3() },\n point: { value: new THREE.Vector2() },\n radius: { value: 0.0 },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return splatMaterial as SplatMaterial;\n};\n","import * as THREE from \"three\";\nimport { useCallback, useEffect, useMemo } from \"react\";\nimport { useInitialMaterial } from \"./materials/useInitialMaterial\";\nimport {\n AdvectionMaterial,\n useAdvectionMaterial,\n} from \"./materials/useAdvectionMaterial\";\nimport {\n DivergenceMaterial,\n useDivergenceMaterial,\n} from \"./materials/useDivergenceMaterial\";\nimport {\n PressureMaterial,\n usePressureMaterial,\n} from \"./materials/usePressureMaterial\";\nimport { CurlMaterial, useCurlMaterial } from \"./materials/useCurlMaterial\";\nimport {\n VorticityMaterial,\n useVorticityMaterial,\n} from \"./materials/useVorticityMaterial\";\nimport { useResolution } from \"../../../utils/useResolution\";\nimport { ClearMaterial, useClearMaterial } from \"./materials/useClearMaterial\";\nimport {\n GradientSubtractMaterial,\n useGradientSubtractMaterial,\n} from \"./materials/useGradientSubtractMaterial\";\nimport { SplatMaterial, useSplatMaterial } from \"./materials/useSplatMaterial\";\nimport { CustomParams, setUniform } from \"../../../utils/setUniforms\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\n\ntype TMaterials =\n | AdvectionMaterial\n | DivergenceMaterial\n | CurlMaterial\n | PressureMaterial\n | ClearMaterial\n | GradientSubtractMaterial\n | SplatMaterial;\n\nexport type FluidMaterials = {\n vorticityMaterial: VorticityMaterial;\n curlMaterial: CurlMaterial;\n advectionMaterial: AdvectionMaterial;\n divergenceMaterial: DivergenceMaterial;\n pressureMaterial: PressureMaterial;\n clearMaterial: ClearMaterial;\n gradientSubtractMaterial: GradientSubtractMaterial;\n splatMaterial: SplatMaterial;\n};\n\nexport type CustomizableKeys =\n | \"advection\"\n | \"splat\"\n | \"curl\"\n | \"vorticity\"\n | \"divergence\"\n | \"clear\"\n | \"pressure\"\n | \"gradientSubtract\";\n\nexport type CustomFluidProps = {\n [K in CustomizableKeys]?: MaterialProps;\n};\nexport type CustomFluidParams = {\n [K in CustomizableKeys]?: CustomParams;\n};\n\nconst useCustomMaterial = <T extends THREE.Material>(\n materialHook: (materialProps: MaterialProps) => T,\n materialProps?: MaterialProps\n) => {\n return materialHook(materialProps ?? {});\n};\n\n/**\n * Returns the material update function in the second argument\n */\nexport const useMesh = ({\n scene,\n size,\n dpr,\n customFluidProps,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n customFluidProps?: CustomFluidProps;\n}) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n\n const {\n curl,\n vorticity,\n advection,\n divergence,\n pressure,\n clear,\n gradientSubtract,\n splat,\n } = customFluidProps ?? {};\n\n const initialMaterial = useCustomMaterial(useInitialMaterial);\n const updateMaterial = initialMaterial.clone();\n const curlMaterial = useCustomMaterial(useCurlMaterial, curl);\n const vorticityMaterial = useCustomMaterial(useVorticityMaterial, vorticity);\n const advectionMaterial = useCustomMaterial(useAdvectionMaterial, advection);\n const divergenceMaterial = useCustomMaterial(\n useDivergenceMaterial,\n divergence\n );\n const pressureMaterial = useCustomMaterial(usePressureMaterial, pressure);\n const clearMaterial = useCustomMaterial(useClearMaterial, clear);\n const gradientSubtractMaterial = useCustomMaterial(\n useGradientSubtractMaterial,\n gradientSubtract\n );\n const splatMaterial = useCustomMaterial(useSplatMaterial, splat);\n const materials = useMemo(\n () => ({\n vorticityMaterial,\n curlMaterial,\n advectionMaterial,\n divergenceMaterial,\n pressureMaterial,\n clearMaterial,\n gradientSubtractMaterial,\n splatMaterial,\n }),\n [\n vorticityMaterial,\n curlMaterial,\n advectionMaterial,\n divergenceMaterial,\n pressureMaterial,\n clearMaterial,\n gradientSubtractMaterial,\n splatMaterial,\n ]\n );\n\n const resolution = useResolution(size, dpr);\n useMemo(() => {\n setUniform(materials.splatMaterial)(\n \"aspectRatio\",\n resolution.x / resolution.y\n );\n for (const material of Object.values(materials)) {\n setUniform<typeof material.uniforms>(material)(\n \"texelSize\",\n new THREE.Vector2(1.0 / resolution.x, 1.0 / resolution.y)\n );\n }\n }, [resolution, materials]);\n\n const mesh = useAddObject(scene, geometry, initialMaterial, THREE.Mesh);\n\n useMemo(() => {\n initialMaterial.dispose();\n mesh.material = updateMaterial;\n }, [initialMaterial, mesh, updateMaterial]);\n\n useEffect(() => {\n return () => {\n for (const material of Object.values(materials)) {\n material.dispose();\n }\n };\n }, [materials]);\n\n const setMeshMaterial = useCallback(\n (material: TMaterials) => {\n mesh.material = material;\n mesh.material.needsUpdate = true;\n },\n [mesh]\n );\n\n return { materials, setMeshMaterial, mesh };\n};\n","import * as THREE from \"three\";\nimport {\n CustomizableKeys,\n FluidMaterials,\n CustomFluidProps,\n CustomFluidParams,\n useMesh,\n} from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useCallback, useMemo, useRef } from \"react\";\nimport { PointerValues, usePointer } from \"../../../misc/usePointer\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { UseFboProps } from \"../../../utils/useSingleFBO\";\nimport { DoubleRenderTarget, useDoubleFBO } from \"../../../utils/useDoubleFBO\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport const DELTA_TIME = 0.016;\n\nexport type FluidParams = {\n /** density disspation , default : `0.98` */\n densityDissipation?: number;\n /** velocity dissipation , default : `0.99` */\n velocityDissipation?: number;\n /** velocity acceleration , default : `10.0` */\n velocityAcceleration?: number;\n /** pressure dissipation , default : `0.9` */\n pressureDissipation?: number;\n /** pressure iterations. affects performance , default : `20` */\n pressureIterations?: number;\n /** curl_strength , default : `35` */\n curlStrength?: number;\n /** splat radius , default : `0.002` */\n splatRadius?: number;\n /** Fluid Color.THREE.Vector3 Alternatively, it accepts a function that returns THREE.Vector3.The function takes velocity:THREE.Vector2 as an argument. , default : `THREE.Vector3(1.0, 1.0, 1.0)` */\n fluidColor?:\n | ((velocity: THREE.Vector2) => THREE.Vector3)\n | THREE.Vector3\n | THREE.Color;\n /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */\n pointerValues?: PointerValues | false;\n};\n\nexport type FluidObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n materials: FluidMaterials;\n camera: THREE.Camera;\n renderTarget: {\n velocity: DoubleRenderTarget;\n density: DoubleRenderTarget;\n curl: THREE.WebGLRenderTarget;\n divergence: THREE.WebGLRenderTarget;\n pressure: DoubleRenderTarget;\n };\n output: THREE.Texture;\n};\n\nexport const FLUID_PARAMS: FluidParams = Object.freeze({\n densityDissipation: 0.98,\n velocityDissipation: 0.99,\n velocityAcceleration: 10.0,\n pressureDissipation: 0.9,\n pressureIterations: 20,\n curlStrength: 35,\n splatRadius: 0.002,\n fluidColor: new THREE.Vector3(1.0, 1.0, 1.0),\n pointerValues: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useFluid = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n customFluidProps,\n}: {\n /** you can add `onBeforeInit` of the next material.`initial`,`curl`,`vorticity`,`advection`,`divergence`,`pressure`,`clear`,`gradientSubtract`,`splat` \n\t * ```ts\n\t * customFluidProps: {\n vorticity: {\n onBeforeInit: (parameters) => console.log(parameters),\n },\n },\n\t * ```\n\t*/\n customFluidProps?: CustomFluidProps;\n} & HooksProps): HooksReturn<FluidParams, FluidObject, CustomFluidParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { materials, setMeshMaterial, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n customFluidProps,\n });\n const camera = useCamera(size);\n const updatePointer = usePointer();\n\n const fboProps = useMemo<UseFboProps>(\n () => ({\n scene,\n camera,\n dpr: _dpr.fbo,\n size,\n isSizeUpdate,\n type: THREE.HalfFloatType,\n ...renderTargetOptions,\n }),\n [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions]\n );\n const [velocityFBO, updateVelocityFBO] = useDoubleFBO(fboProps);\n const [densityFBO, updateDensityFBO] = useDoubleFBO(fboProps);\n const [curlFBO, updateCurlFBO] = useSingleFBO(fboProps);\n const [divergenceFBO, updateDivergenceFBO] = useSingleFBO(fboProps);\n const [pressureFBO, updatePressureFBO] = useDoubleFBO(fboProps);\n\n const scaledDiffVec = useRef(new THREE.Vector2(0, 0));\n const spaltVec = useRef(new THREE.Vector3(0, 0, 0));\n\n const [params, setParams] = useParams<FluidParams>(FLUID_PARAMS);\n\n // setUniform\n const updateParamsList = useMemo(\n () => ({\n advection: setUniform(materials.advectionMaterial),\n splat: setUniform(materials.splatMaterial),\n curl: setUniform(materials.curlMaterial),\n vorticity: setUniform(materials.vorticityMaterial),\n divergence: setUniform(materials.divergenceMaterial),\n clear: setUniform(materials.clearMaterial),\n pressure: setUniform(materials.pressureMaterial),\n gradientSubtract: setUniform(materials.gradientSubtractMaterial),\n }),\n [materials]\n );\n // customSetUniform\n const updateCustomParamsList = useMemo<{\n [K in CustomizableKeys]: (customParams: CustomParams | undefined) => void;\n }>(\n () => ({\n advection: setCustomUniform(materials.advectionMaterial),\n splat: setCustomUniform(materials.splatMaterial),\n curl: setCustomUniform(materials.curlMaterial),\n vorticity: setCustomUniform(materials.vorticityMaterial),\n divergence: setCustomUniform(materials.divergenceMaterial),\n clear: setCustomUniform(materials.clearMaterial),\n pressure: setCustomUniform(materials.pressureMaterial),\n gradientSubtract: setCustomUniform(materials.gradientSubtractMaterial),\n }),\n [materials]\n );\n\n const updateParams = useCallback(\n (newParams?: FluidParams, customParams?: CustomFluidParams) => {\n setParams(newParams);\n if (customParams) {\n Object.keys(customParams).forEach((key) => {\n updateCustomParamsList[key as CustomizableKeys](\n customParams[key as CustomizableKeys]\n );\n });\n }\n },\n [setParams, updateCustomParamsList]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: FluidParams,\n customParams?: CustomFluidParams\n ) => {\n const { gl, pointer, size } = rootState;\n\n updateParams(newParams, customParams);\n\n const velocityTex = updateVelocityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.advectionMaterial);\n updateParamsList.advection(\"uVelocity\", read);\n updateParamsList.advection(\"uSource\", read);\n updateParamsList.advection(\n \"dissipation\",\n params.velocityDissipation!\n );\n });\n\n const densityTex = updateDensityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.advectionMaterial);\n updateParamsList.advection(\"uVelocity\", velocityTex);\n updateParamsList.advection(\"uSource\", read);\n updateParamsList.advection(\n \"dissipation\",\n params.densityDissipation!\n );\n });\n\n const pointerValues = params.pointerValues! || updatePointer(pointer);\n\n if (pointerValues.isVelocityUpdate) {\n updateVelocityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.splatMaterial);\n updateParamsList.splat(\"uTarget\", read);\n updateParamsList.splat(\"point\", pointerValues.currentPointer);\n const scaledDiff = pointerValues.diffPointer.multiply(\n scaledDiffVec.current\n .set(size.width, size.height)\n .multiplyScalar(params.velocityAcceleration!)\n );\n updateParamsList.splat(\n \"color\",\n spaltVec.current.set(scaledDiff.x, scaledDiff.y, 1.0)\n );\n updateParamsList.splat(\"radius\", params.splatRadius!);\n });\n updateDensityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.splatMaterial);\n updateParamsList.splat(\"uTarget\", read);\n const color: THREE.Vector3 | THREE.Color =\n typeof params.fluidColor === \"function\"\n ? params.fluidColor(pointerValues.velocity)\n : params.fluidColor!;\n updateParamsList.splat(\"color\", color);\n });\n }\n\n const curlTex = updateCurlFBO(gl, () => {\n setMeshMaterial(materials.curlMaterial);\n updateParamsList.curl(\"uVelocity\", velocityTex);\n });\n\n updateVelocityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.vorticityMaterial);\n updateParamsList.vorticity(\"uVelocity\", read);\n updateParamsList.vorticity(\"uCurl\", curlTex);\n updateParamsList.vorticity(\"curl\", params.curlStrength!);\n });\n\n const divergenceTex = updateDivergenceFBO(gl, () => {\n setMeshMaterial(materials.divergenceMaterial);\n updateParamsList.divergence(\"uVelocity\", velocityTex);\n });\n\n updatePressureFBO(gl, ({ read }) => {\n setMeshMaterial(materials.clearMaterial);\n updateParamsList.clear(\"uTexture\", read);\n updateParamsList.clear(\"value\", params.pressureDissipation!);\n });\n\n setMeshMaterial(materials.pressureMaterial);\n updateParamsList.pressure(\"uDivergence\", divergenceTex);\n let pressureTexTemp: THREE.Texture;\n for (let i = 0; i < params.pressureIterations!; i++) {\n pressureTexTemp = updatePressureFBO(gl, ({ read }) => {\n updateParamsList.pressure(\"uPressure\", read);\n });\n }\n\n updateVelocityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.gradientSubtractMaterial);\n updateParamsList.gradientSubtract(\"uPressure\", pressureTexTemp);\n updateParamsList.gradientSubtract(\"uVelocity\", read);\n });\n\n return densityTex;\n },\n [\n materials,\n updateParamsList,\n setMeshMaterial,\n updateCurlFBO,\n updateDensityFBO,\n updateDivergenceFBO,\n updatePointer,\n updatePressureFBO,\n updateVelocityFBO,\n params,\n updateParams,\n ]\n );\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n materials: materials,\n camera: camera,\n renderTarget: {\n velocity: velocityFBO,\n density: densityFBO,\n curl: curlFBO,\n divergence: divergenceFBO,\n pressure: pressureFBO,\n },\n output: densityFBO.read.texture,\n },\n ];\n};\n","#usf <defaultVertex>","precision highp float;\n\nuniform sampler2D uMap;\nuniform float uOpacity;\n\nvarying vec2 vUv;\n\nvoid main() {\n\tvec2 uv = vUv;\n\tvec3 color = texture2D(uMap, uv).rgb;\n\tgl_FragColor = vec4(color,uOpacity);\n}","import * as THREE from \"three\";\nimport { useEffect, useMemo } from \"react\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { MaterialProps } from \"../../types\";\nimport {\n DEFAULT_TEXTURE,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\ntype UseMeshProps = {\n scale: number;\n max: number;\n scene: THREE.Scene;\n texture?: THREE.Texture;\n};\n\nexport const useMesh = ({\n scale,\n max,\n texture,\n scene,\n onBeforeInit,\n}: UseMeshProps & MaterialProps) => {\n const geometry = useMemo(\n () => new THREE.PlaneGeometry(scale, scale),\n [scale]\n );\n\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uOpacity: { value: 0.0 },\n uMap: { value: texture || DEFAULT_TEXTURE },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n blending: THREE.AdditiveBlending,\n ...MATERIAL_BASIC_PARAMS,\n // Must be transparent.\n transparent: true,\n });\n return mat;\n }, [texture, onBeforeInit]);\n\n const meshArr = useMemo(() => {\n const temp = [];\n for (let i = 0; i < max; i++) {\n const clonedMat = material.clone();\n const mesh = new THREE.Mesh(geometry.clone(), clonedMat);\n mesh.rotateZ(2 * Math.PI * Math.random());\n mesh.visible = false;\n scene.add(mesh);\n temp.push(mesh);\n }\n return temp;\n }, [geometry, material, scene, max]);\n\n useEffect(() => {\n return () => {\n meshArr.forEach((mesh) => {\n mesh.geometry.dispose();\n if (Array.isArray(mesh.material)) {\n mesh.material.forEach((material) => material.dispose());\n } else {\n mesh.material.dispose();\n }\n scene.remove(mesh);\n });\n };\n }, [scene, meshArr]);\n\n return meshArr;\n};\n","import { useCallback, useMemo, useRef } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport { usePointer, PointerValues } from \"../../../misc/usePointer\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\n\nexport type RippleParams = {\n /** How often ripples appear, default : `0.01` */\n frequency?: number;\n /** rotation rate, default : `0.05` */\n rotation?: number;\n /** fadeout speed, default : `0.9` */\n fadeoutSpeed?: number;\n /** scale rate, default : `0.3` */\n scale?: number;\n /** alpha, default : `0.6` */\n alpha?: number;\n /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */\n pointerValues?: PointerValues | false;\n};\n\nexport type RippleObject = {\n scene: THREE.Scene;\n meshArr: THREE.Mesh[];\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const RIPPLE_PARAMS: RippleParams = Object.freeze({\n frequency: 0.01,\n rotation: 0.05,\n fadeoutSpeed: 0.9,\n scale: 0.3,\n alpha: 0.6,\n pointerValues: false,\n});\n\ninterface UseRippleProps extends HooksProps {\n /** texture applied to ripple */\n texture?: THREE.Texture;\n /** ripple size, default:64 */\n scale?: number;\n /** ripple max length, default:100 */\n max?: number;\n}\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useRipple = ({\n texture,\n scale = 64,\n max = 100,\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: UseRippleProps): HooksReturn<RippleParams, RippleObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n const scene = useMemo(() => new THREE.Scene(), []);\n const meshArr = useMesh({\n scale: scale,\n max: max,\n texture,\n scene,\n onBeforeInit,\n });\n const camera = useCamera(size);\n const updatePointer = usePointer();\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<RippleParams>(RIPPLE_PARAMS);\n\n const currentWave = useRef(0);\n\n const updateParams = useMemo(() => {\n return (newParams?: RippleParams, customParams?: CustomParams) => {\n setParams(newParams);\n meshArr.forEach((mesh) => {\n if (mesh.visible) {\n const material = mesh.material as THREE.ShaderMaterial;\n mesh.rotation.z += params.rotation!;\n mesh.scale.x =\n params.fadeoutSpeed! * mesh.scale.x + params.scale!;\n mesh.scale.y = mesh.scale.x;\n const opacity = material.uniforms.uOpacity.value;\n setUniform(material)(\"uOpacity\", opacity * params.fadeoutSpeed!);\n if (opacity < 0.001) mesh.visible = false;\n }\n setCustomUniform(mesh.material)(customParams);\n });\n };\n }, [meshArr, params, setParams]);\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: RippleParams,\n customParams?: CustomParams\n ) => {\n const { gl, pointer, size } = rootState;\n\n updateParams(newParams, customParams);\n\n const pointerValues = params.pointerValues! || updatePointer(pointer);\n\n if (params.frequency! < pointerValues.diffPointer.length()) {\n const mesh = meshArr[currentWave.current];\n const material = mesh.material as THREE.ShaderMaterial;\n mesh.visible = true;\n mesh.position.set(\n pointerValues.currentPointer.x * (size.width / 2),\n pointerValues.currentPointer.y * (size.height / 2),\n 0\n );\n mesh.scale.x = mesh.scale.y = 0.0;\n setUniform(material)(\"uOpacity\", params.alpha!);\n currentWave.current = (currentWave.current + 1) % max;\n }\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, meshArr, updatePointer, max, params, updateParams]\n );\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n camera: camera,\n meshArr: meshArr,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\nprecision highp int;\n\nvarying vec2 vUv;\nuniform float uTime;\nuniform float timeStrength;\nuniform int noiseOctaves;\nuniform int fbmOctaves;\nuniform int warpOctaves;\nuniform vec2 warpDirection;\nuniform float warpStrength;\nuniform float scale;\n\nconst float per = 0.5;\nconst float PI = 3.14159265359;\n\nfloat rnd(vec2 n) {\n\tfloat a = 0.129898;\n\tfloat b = 0.78233;\n\tfloat c = 437.585453;\n\tfloat dt= dot(n ,vec2(a, b));\n\tfloat sn= mod(dt, PI);\n\treturn fract(sin(sn) * c);\n}\n\nfloat interpolate(float a, float b, float x){\n float f = (1.0 - cos(x * PI)) * 0.5;\n return a * (1.0 - f) + b * f;\n}\n\nfloat irnd(vec2 p){\n\tvec2 i = floor(p);\n\tvec2 f = fract(p);\n\tvec4 v = vec4(rnd(vec2(i.x,i.y)),rnd(vec2(i.x + 1.0,i.y)),rnd(vec2(i.x,i.y + 1.0)),rnd(vec2(i.x + 1.0, i.y + 1.0)));\n\treturn interpolate(interpolate(v.x, v.y, f.x), interpolate(v.z, v.w, f.x), f.y);\n}\n\n// Based on The Book of Shaders\n// https://thebookofshaders.com/13/\nfloat noise(vec2 p, float time){\n\tfloat t = 0.0;\n\tfor(int i = 0; i < noiseOctaves; i++){\n\t\tfloat freq = pow(2.0, float(i));\n\t\tfloat amp = pow(per, float(noiseOctaves - i));\n\t\tt += irnd(vec2(p.y / freq + time, p.x / freq + time)) * amp;\n\t}\n\treturn t;\n}\n\nfloat fbm(vec2 x, float time) {\n\tfloat v = 0.0;\n\tfloat a = 0.5;\n\tvec2 shift = vec2(100);\n\tmat2 rot = mat2(cos(0.5), sin(0.5), -sin(0.5), cos(0.5));\n\tfloat sign = 1.0;\n\tfor (int i = 0; i < fbmOctaves; ++i) {\n\t\tv += a * noise(x, time * sign);\n\t\tx = rot * x * 2.0 + shift;\n\t\ta *= 0.5;\n\t\tsign *= -1.0;\n\t}\n\treturn v;\n}\n\nfloat warp(vec2 x, float g,float time){\n\tfloat val = 0.0;\n\tfor (int i = 0; i < warpOctaves; i++){\n\t\tval = fbm(x + g * vec2(cos(warpDirection.x * val), sin(warpDirection.y * val)), time);\n\t}\n\treturn val;\n}\n\nvoid main() {\n\tfloat noise = warp(gl_FragCoord.xy * scale ,warpStrength,uTime * timeStrength);\n\tgl_FragColor = vec4(vec3(noise),1.0);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../libs/constants\";\nimport { NOISE_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class NoiseMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTime: { value: number };\n scale: { value: number };\n timeStrength: { value: number };\n noiseOctaves: { value: number };\n fbmOctaves: { value: number };\n warpOctaves: { value: number };\n warpDirection: { value: THREE.Vector2 };\n warpStrength: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTime: { value: 0.0 },\n scale: { value: NOISE_PARAMS.scale },\n timeStrength: { value: NOISE_PARAMS.timeStrength },\n noiseOctaves: { value: NOISE_PARAMS.noiseOctaves },\n fbmOctaves: { value: NOISE_PARAMS.fbmOctaves },\n warpOctaves: { value: NOISE_PARAMS.warpOctaves },\n warpDirection: { value: NOISE_PARAMS.warpDirection },\n warpStrength: { value: NOISE_PARAMS.warpStrength },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as NoiseMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type NoiseParams = {\n /** noise scale , default : `0.004` */\n scale?: number;\n /** time factor default : `0.3` */\n timeStrength?: number;\n /** noiseOctaves, affects performance default : `2` */\n noiseOctaves?: number;\n /** fbmOctaves, affects performance default : `2` */\n fbmOctaves?: number;\n /** domain warping octaves , affects performance default : `2` */\n warpOctaves?: number;\n /** direction of domain warping , default : `(2.0,2,0)` */\n warpDirection?: THREE.Vector2;\n /** strength of domain warping , default : `8.0` */\n warpStrength?: number;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n};\n\nexport type NoiseObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const NOISE_PARAMS: NoiseParams = Object.freeze({\n scale: 0.004,\n timeStrength: 0.3,\n noiseOctaves: 2,\n fbmOctaves: 2,\n warpOctaves: 2,\n warpDirection: new THREE.Vector2(2.0, 2.0),\n warpStrength: 8.0,\n beat: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n *\n * It is a basic value noise with `fbm` and `domain warping`\n */\nexport const useNoise = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<NoiseParams, NoiseObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<NoiseParams>(NOISE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: NoiseParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: NoiseParams,\n customParams?: CustomParams\n ) => {\n const { gl, clock } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"scale\", params.scale!);\n updateValue(\"timeStrength\", params.timeStrength!);\n updateValue(\"noiseOctaves\", params.noiseOctaves!);\n updateValue(\"fbmOctaves\", params.fbmOctaves!);\n updateValue(\"warpOctaves\", params.warpOctaves!);\n updateValue(\"warpDirection\", params.warpDirection!);\n updateValue(\"warpStrength\", params.warpStrength!);\n updateValue(\"uTime\", params.beat || clock.getElapsedTime());\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\nvarying vec2 vUv;\n\nuniform sampler2D uTexture;\nuniform bool isTexture;\nuniform sampler2D noise;\nuniform bool isNoise;\nuniform vec2 noiseStrength;\nuniform float laminateLayer;\nuniform vec2 laminateInterval;\nuniform vec2 laminateDetail;\nuniform vec2 distortion;\nuniform vec3 colorFactor;\nuniform float uTime;\nuniform vec2 timeStrength;\nuniform float scale;\n\nvoid main() {\n\tvec2 uv = vUv;\n\n\tvec2 pos = isTexture ? texture2D(uTexture, uv).rg : uv * scale;\n\tvec2 noise = isNoise ? texture2D(noise, uv).rg : vec2(0.0);\n\tfloat alpha = isTexture ? texture2D(uTexture, uv).a : 1.0;\n\t\n\t// Avoid floating point bugs caused by GPU drivers.\n\talpha = (alpha < 1e-10) ? 0.0 : alpha;\n\n\tvec3 col;\n\tfor(float j = 0.0; j < 3.0; j++){\n\t\tfor(float i = 1.0; i < laminateLayer; i++){\n\t\t\tfloat timeNoiseSin = sin(uTime / (i + j)) * timeStrength.x + noise.r * noiseStrength.x;\n\t\t\tfloat timeNoiseCos = cos(uTime / (i + j)) * timeStrength.y + noise.g * noiseStrength.y;\n\t\t\tpos.x += laminateInterval.x / (i + j) * cos(i * distortion.x * pos.y + timeNoiseSin + sin(i + j));\n\t\t\tpos.y += laminateInterval.y / (i + j) * cos(i * distortion.y * pos.x + timeNoiseCos + sin(i + j));\n\t\t}\n\t\tcol[int(j)] = sin(pow(pos.x, 2.) * pow(laminateDetail.x, 2.)) + sin(pow(pos.y, 2.) * pow(laminateDetail.y, 2.));\n\t}\n\n\tcol *= colorFactor * alpha;\n\tcol = clamp(col, 0.0, 1.0);\n\t\n\tgl_FragColor = vec4(col, alpha);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { COLORSTRATA_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class ColorStrataMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n isTexture: { value: boolean };\n scale: { value: number };\n noise: { value: THREE.Texture };\n noiseStrength: { value: THREE.Vector2 };\n isNoise: { value: boolean };\n laminateLayer: { value: number };\n laminateInterval: { value: THREE.Vector2 };\n laminateDetail: { value: THREE.Vector2 };\n distortion: { value: THREE.Vector2 };\n colorFactor: { value: THREE.Vector3 };\n uTime: { value: number };\n timeStrength: { value: THREE.Vector2 };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n isTexture: { value: false },\n scale: { value: COLORSTRATA_PARAMS.scale },\n noise: { value: DEFAULT_TEXTURE },\n noiseStrength: { value: COLORSTRATA_PARAMS.noiseStrength },\n isNoise: { value: false },\n laminateLayer: { value: COLORSTRATA_PARAMS.laminateLayer },\n laminateInterval: {\n value: COLORSTRATA_PARAMS.laminateInterval,\n },\n laminateDetail: { value: COLORSTRATA_PARAMS.laminateDetail },\n distortion: { value: COLORSTRATA_PARAMS.distortion },\n colorFactor: { value: COLORSTRATA_PARAMS.colorFactor },\n uTime: { value: 0 },\n timeStrength: { value: COLORSTRATA_PARAMS.timeStrength },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as ColorStrataMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type ColorStrataParams = {\n /** default : `null` */\n texture?: THREE.Texture | false;\n /** Valid when texture is false. default : `1` */\n scale?: number;\n /** default : `1.0` */\n laminateLayer?: number;\n /** default : `(0.1, 0.1)` */\n laminateInterval?: THREE.Vector2;\n /** default : `(1.0, 1.0)` */\n laminateDetail?: THREE.Vector2;\n /** default : `(0.0, 0.0)` */\n distortion?: THREE.Vector2;\n /** default : `(1.0, 1.0, 1.0)` */\n colorFactor?: THREE.Vector3;\n /** default : `(0.0, 0.0)` */\n timeStrength?: THREE.Vector2;\n /** default : `false` */\n noise?: THREE.Texture | false;\n /** default : `(0.0,0.0)` */\n noiseStrength?: THREE.Vector2;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n};\n\nexport type ColorStrataObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const COLORSTRATA_PARAMS: ColorStrataParams = Object.freeze({\n texture: false,\n scale: 1.0,\n laminateLayer: 1.0,\n laminateInterval: new THREE.Vector2(0.1, 0.1),\n laminateDetail: new THREE.Vector2(1, 1),\n distortion: new THREE.Vector2(0, 0),\n colorFactor: new THREE.Vector3(1, 1, 1),\n timeStrength: new THREE.Vector2(0, 0),\n noise: false,\n noiseStrength: new THREE.Vector2(0, 0),\n beat: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useColorStrata = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n ColorStrataParams,\n ColorStrataObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<ColorStrataParams>(COLORSTRATA_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: ColorStrataParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: ColorStrataParams,\n customParams?: CustomParams\n ) => {\n const { gl, clock } = rootState;\n\n updateParams(newParams, customParams);\n\n if (params.texture) {\n updateValue(\"uTexture\", params.texture);\n updateValue(\"isTexture\", true);\n } else {\n updateValue(\"isTexture\", false);\n updateValue(\"scale\", params.scale!);\n }\n\n if (params.noise) {\n updateValue(\"noise\", params.noise);\n updateValue(\"isNoise\", true);\n updateValue(\"noiseStrength\", params.noiseStrength!);\n } else {\n updateValue(\"isNoise\", false);\n }\n\n updateValue(\"uTime\", params.beat || clock.getElapsedTime());\n\n updateValue(\"laminateLayer\", params.laminateLayer!);\n updateValue(\"laminateInterval\", params.laminateInterval!);\n updateValue(\"laminateDetail\", params.laminateDetail!);\n updateValue(\"distortion\", params.distortion!);\n updateValue(\"colorFactor\", params.colorFactor!);\n updateValue(\"timeStrength\", params.timeStrength!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform float u_time;\nuniform float u_pattern;\nuniform float u_complexity;\nuniform float u_complexityAttenuation;\nuniform float u_iterations;\nuniform float u_timeStrength;\nuniform float u_scale;\n\nvec3 marble(vec3 p){\n\tvec4 n;\n\tfor(float i;i<u_iterations;i++){\n\t\tp+=sin(p.yzx + u_pattern);\n\t\tn=u_complexity*n+vec4(cross(cos(p + u_pattern),sin(p.zxy + u_pattern)),1.)*(1.+i*u_complexityAttenuation);\n\t\tp*=u_complexity;\n\t}\n\treturn n.xyz/n.w;\n}\n\nvoid main() {\n\tfloat time = u_time * u_timeStrength;\n\tvec3 color = clamp(marble(vec3(gl_FragCoord.xy*u_scale,time)),0.,1.);\n\tgl_FragColor = vec4(color,1.);\n}\n\n","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../libs/constants\";\nimport { MARBLE_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class MarbleMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_time: { value: number };\n u_pattern: { value: number };\n u_complexity: { value: number };\n u_complexityAttenuation: { value: number };\n u_iterations: { value: number };\n u_timeStrength: { value: number };\n u_scale: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_time: { value: 0 },\n u_pattern: { value: MARBLE_PARAMS.pattern },\n u_complexity: { value: MARBLE_PARAMS.complexity },\n u_complexityAttenuation: {\n value: MARBLE_PARAMS.complexityAttenuation,\n },\n u_iterations: { value: MARBLE_PARAMS.iterations },\n u_timeStrength: { value: MARBLE_PARAMS.timeStrength },\n u_scale: { value: MARBLE_PARAMS.scale },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as MarbleMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type MarbleParams = {\n /** You can add random patterns to noise by passing random numbers ,default : `0` */\n pattern?: number;\n /** default : `2` */\n complexity?: number;\n /** default : `0.2` */\n complexityAttenuation?: number;\n /** default : `8` */\n iterations?: number;\n /** default : `0.2` */\n timeStrength?: number;\n /** default : `0.002` */\n scale?: number;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n};\n\nexport type MarbleObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const MARBLE_PARAMS: MarbleParams = Object.freeze({\n pattern: 0,\n complexity: 2,\n complexityAttenuation: 0.2,\n iterations: 8,\n timeStrength: 0.2,\n scale: 0.002,\n beat: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useMarble = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<MarbleParams, MarbleObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<MarbleParams>(MARBLE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: MarbleParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: MarbleParams,\n customParams?: CustomParams\n ) => {\n const { gl, clock } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_pattern\", params.pattern!);\n updateValue(\"u_complexity\", params.complexity!);\n updateValue(\"u_complexityAttenuation\", params.complexityAttenuation!);\n updateValue(\"u_iterations\", params.iterations!);\n updateValue(\"u_timeStrength\", params.timeStrength!);\n updateValue(\"u_scale\", params.scale!);\n updateValue(\"u_time\", params.beat || clock.getElapsedTime());\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\nprecision highp int;\n\nvarying vec2 vUv;\nuniform sampler2D uTexture;\nuniform vec3 uColor1;\nuniform vec3 uColor2;\nuniform vec3 uColor3;\nuniform vec3 uColor4;\nuniform vec3 uRgbWeight;\n\n\n// Based on glsl-cos-palette by Erkaman\n// https://github.com/Erkaman/glsl-cos-palette\nvec3 cosPalette( float t, vec3 color1, vec3 color2, vec3 color3, vec3 color4 ){\n return color1 + color2 * cos( 6.28318 * ( color3 * t + color4) );\n}\n\nvoid main() {\n\n\tvec4 tex = texture2D(uTexture, vUv);\n\tfloat gray = dot(tex.rgb, uRgbWeight);\t\t\n\n\tvec3 outColor = cosPalette(\n\t\tgray,\n\t\tuColor1,\n\t\tuColor2,\n\t\tuColor3,\n\t\tuColor4\n\t);\n\n\tgl_FragColor = vec4(outColor, tex.a);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { COSPALETTE_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class CosPaletteMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uRgbWeight: { value: THREE.Vector3 };\n uColor1: { value: THREE.Color };\n uColor2: { value: THREE.Color };\n uColor3: { value: THREE.Color };\n uColor4: { value: THREE.Color };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uRgbWeight: { value: COSPALETTE_PARAMS.rgbWeight },\n uColor1: { value: COSPALETTE_PARAMS.color1 },\n uColor2: { value: COSPALETTE_PARAMS.color2 },\n uColor3: { value: COSPALETTE_PARAMS.color3 },\n uColor4: { value: COSPALETTE_PARAMS.color4 },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as CosPaletteMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type CosPaletteParams = {\n /** color1, default : `rgb(50%, 50%, 50%)` */\n color1?: THREE.Color;\n /** color2, default : `rgb(50%, 50%, 50%)` */\n color2?: THREE.Color;\n /** color3, default : `rgb(100%, 100%, 100%)` */\n color3?: THREE.Color;\n /** color4, default : `rgb(0%, 10%, 20%)` */\n color4?: THREE.Color;\n /** texture to be used as a palette */\n texture?: THREE.Texture;\n /** weight of the rgb, default : `THREE.Vector3(1.0,0.0,0.0)` */\n rgbWeight?: THREE.Vector3;\n};\n\nexport type ColorPaletteObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const COSPALETTE_PARAMS: CosPaletteParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n color1: new THREE.Color().set(0.5, 0.5, 0.5),\n color2: new THREE.Color().set(0.5, 0.5, 0.5),\n color3: new THREE.Color().set(1, 1, 1),\n color4: new THREE.Color().set(0, 0.1, 0.2),\n rgbWeight: new THREE.Vector3(0.299, 0.587, 0.114),\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useCosPalette = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n CosPaletteParams,\n ColorPaletteObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<CosPaletteParams>(COSPALETTE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: CosPaletteParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: CosPaletteParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uColor1\", params.color1!);\n updateValue(\"uColor2\", params.color2!);\n updateValue(\"uColor3\", params.color3!);\n updateValue(\"uColor4\", params.color4!);\n updateValue(\"uRgbWeight\", params.rgbWeight!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uTexture;\n\nuniform vec3 uColor0;\nuniform vec3 uColor1;\n\nvoid main() {\n\tvec2 uv = vUv;\n\tvec4 texColor = texture2D(uTexture, uv);\n\tfloat grayscale = dot(texColor.rgb, vec3(0.299, 0.587, 0.114));\n\tvec3 duotone = mix(uColor0, uColor1, grayscale);\n\tgl_FragColor = vec4(duotone, texColor.a);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { DUOTONE_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class DuoToneMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uColor0: { value: THREE.Color };\n uColor1: { value: THREE.Color };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uColor0: { value: DUOTONE_PARAMS.color0 },\n uColor1: { value: DUOTONE_PARAMS.color1 },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as DuoToneMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { DuoToneMaterial, useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type DuoToneParams = {\n /** Make this texture duotone , Default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** 1st color ,　Default : `THREE.Color(0xffffff)` */\n color0?: THREE.Color;\n /** 2nd color , Default : `THREE.Color(0x000000)` */\n color1?: THREE.Color;\n};\n\nexport type DuoToneObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: DuoToneMaterial;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const DUOTONE_PARAMS: DuoToneParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n color0: new THREE.Color(0xffffff),\n color1: new THREE.Color(0x000000),\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useDuoTone = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<DuoToneParams, DuoToneObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<DuoToneParams>(DUOTONE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: DuoToneParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: DuoToneParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uColor0\", params.color0!);\n updateValue(\"uColor1\", params.color1!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D u_texture;\nuniform sampler2D uMap;\nuniform bool u_isAlphaMap;\nuniform sampler2D u_alphaMap;\nuniform float uMapIntensity;\nuniform vec3 u_brightness;\nuniform float u_min;\nuniform float u_max;\nuniform vec3 u_dodgeColor;\nuniform bool u_isDodgeColor;\n\nvoid main() {\n\tvec2 uv = vUv;\n\n\t#usf <fxBlending>\n\n\t// color blending\n\tfloat brightness = dot(mapColor,u_brightness);\n\tvec4 textureMap = texture2D(u_texture, uv);\n\tfloat blendValue = smoothstep(u_min, u_max, brightness);\n\n\t// set dodge color\n\tvec3 dodgeColor = u_isDodgeColor ? u_dodgeColor : mapColor;\n\tvec3 outputColor = blendValue * dodgeColor + (1.0 - blendValue) * textureMap.rgb;\n\t\n\t// alpha blending\n\tfloat alpha = u_isAlphaMap ? texture2D(u_alphaMap, uv).a : textureMap.a;\n\tfloat mixValue = u_isAlphaMap ? alpha : 0.0;\n\tvec3 alphaColor = vec3(mix(outputColor,mapColor,mixValue));\n\n\tgl_FragColor = vec4(alphaColor,alpha);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n DEFAULT_TEXTURE,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../libs/constants\";\nimport { BLENDING_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class BlendingMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n uMap: { value: THREE.Texture };\n u_alphaMap: { value: THREE.Texture };\n u_isAlphaMap: { value: boolean };\n uMapIntensity: { value: number };\n u_brightness: { value: THREE.Vector3 };\n u_min: { value: number };\n u_max: { value: number };\n u_dodgeColor: { value: THREE.Color };\n u_isDodgeColor: { value: boolean };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: DEFAULT_TEXTURE },\n uMap: { value: DEFAULT_TEXTURE },\n u_alphaMap: { value: DEFAULT_TEXTURE },\n u_isAlphaMap: { value: false },\n uMapIntensity: { value: BLENDING_PARAMS.mapIntensity },\n u_brightness: { value: BLENDING_PARAMS.brightness },\n u_min: { value: BLENDING_PARAMS.min },\n u_max: { value: BLENDING_PARAMS.max },\n u_dodgeColor: { value: new THREE.Color() },\n u_isDodgeColor: { value: false },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as BlendingMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type BlendingParams = {\n /** Make this texture Blending , default : `THREE.Texture` */\n texture?: THREE.Texture;\n /** map texture, default : `THREE.Texture` */\n map?: THREE.Texture;\n /** map strength , r,g value are affecting , default : `0.3` */\n mapIntensity?: number;\n /** Alpha blending is performed using the alpha of the set texture. , default : `false` */\n alphaMap?: THREE.Texture | false;\n /** default : `(0.5,0.5,0.5)` */\n brightness?: THREE.Vector3;\n /** default : `0.0` */\n min?: number;\n /** default : `1.0` */\n max?: number;\n /** If set, this value will apply color dodge , default : `false` */\n dodgeColor?: THREE.Color | false;\n};\n\nexport type BlendingObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const BLENDING_PARAMS: BlendingParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n map: DEFAULT_TEXTURE,\n alphaMap: false,\n mapIntensity: 0.3,\n brightness: new THREE.Vector3(0.5, 0.5, 0.5),\n min: 0.0,\n max: 1.0,\n dodgeColor: false,\n});\n\n/**\n * Blend map to texture. You can set the threshold for blending with brightness. You can set the dodge color by setting color. \nIf you don't want to reflect the map's color, you can use useFxBlending instead.\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBlending = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<BlendingParams, BlendingObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<BlendingParams>(BLENDING_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: BlendingParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: BlendingParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_texture\", params.texture!);\n updateValue(\"uMap\", params.map!);\n updateValue(\"uMapIntensity\", params.mapIntensity!);\n if (params.alphaMap) {\n updateValue(\"u_alphaMap\", params.alphaMap!);\n updateValue(\"u_isAlphaMap\", true);\n } else {\n updateValue(\"u_isAlphaMap\", false);\n }\n updateValue(\"u_brightness\", params.brightness!);\n updateValue(\"u_min\", params.min!);\n updateValue(\"u_max\", params.max!);\n if (params.dodgeColor) {\n updateValue(\"u_dodgeColor\", params.dodgeColor);\n updateValue(\"u_isDodgeColor\", true);\n } else {\n updateValue(\"u_isDodgeColor\", false);\n }\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform vec2 uResolution;\nuniform vec2 uTextureResolution;\nuniform sampler2D uTexture0;\nuniform sampler2D uTexture1;\nuniform sampler2D uMap;\nuniform float mapIntensity;\nuniform float edgeIntensity;\nuniform float progress;\nuniform float dirX;\nuniform float dirY;\nuniform vec2 epicenter;\nuniform float padding;\n\nbool isInPaddingArea(vec2 uv) {\n return uv.x < padding || uv.x > 1.0 - padding || uv.y < padding || uv.y > 1.0 - padding;\n}\n\nvoid main() {\n\t#usf <coverTexture>\n\n\t// fx map\n\tvec2 map = texture2D(uMap, uv).rg;\n\tvec2 normalizedMap = map * 2.0 - 1.0;\n\n\t// multiply edge fx\n\tuv = uv * 2.0 - 1.0;\n\tuv *= map * distance(epicenter, uv) * edgeIntensity + 1.0;\n\tuv = (uv + 1.0) / 2.0;\n\n\t// padding\n\tif (isInPaddingArea(uv)) {\n\t\tgl_FragColor = vec4(0.0, 0.0, 0.0, 0.0);\n\t\treturn;\n\t}\n\tvec2 paddedUV = uv * (1.0 - 2.0 * padding * -1.) + padding * -1.;\n\n\t// centered uv\n\tvec2 centeredUV = paddedUV - vec2(0.5);\n\n\t// multiply map fx\n\tcenteredUV *= normalizedMap * map * mapIntensity + 1.0;\n\n\t// texture 0\n\tfloat xOffsetTexture0 = 0.5 - dirX * progress;\n\tfloat yOffsetTexture0 = 0.5 - dirY * progress;\n\tvec2 samplePosTexture0 = vec2(xOffsetTexture0, yOffsetTexture0) + centeredUV;\n\n\t//texture 1\n\tfloat xOffsetTexture1 = 0.5 + dirX * (1.0 - progress);\n\tfloat yOffsetTexture1 = 0.5 + dirY * (1.0 - progress);\n\tvec2 samplePosTexture1 = vec2(xOffsetTexture1, yOffsetTexture1) + centeredUV;\n\n\tvec4 color0 = texture2D(uTexture0, samplePosTexture0);\n\tvec4 color1 = texture2D(uTexture1, samplePosTexture1);\n\n\tgl_FragColor = mix(color0, color1, progress);\n\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useResolution } from \"../../../utils/useResolution\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { setUniform } from \"../../../utils/setUniforms\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { FXTEXTURE_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class FxTextureMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uResolution: { value: THREE.Vector2 };\n uTextureResolution: { value: THREE.Vector2 };\n uTexture0: { value: THREE.Texture };\n uTexture1: { value: THREE.Texture };\n padding: { value: number };\n uMap: { value: THREE.Texture };\n edgeIntensity: { value: number };\n mapIntensity: { value: number };\n epicenter: { value: THREE.Vector2 };\n progress: { value: number };\n dirX: { value: number };\n dirY: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uResolution: { value: new THREE.Vector2() },\n uTextureResolution: { value: new THREE.Vector2() },\n uTexture0: { value: DEFAULT_TEXTURE },\n uTexture1: { value: DEFAULT_TEXTURE },\n padding: { value: FXTEXTURE_PARAMS.padding },\n uMap: { value: DEFAULT_TEXTURE },\n edgeIntensity: { value: FXTEXTURE_PARAMS.edgeIntensity },\n mapIntensity: { value: FXTEXTURE_PARAMS.mapIntensity },\n epicenter: { value: FXTEXTURE_PARAMS.epicenter },\n progress: { value: FXTEXTURE_PARAMS.progress },\n dirX: { value: FXTEXTURE_PARAMS.dir?.x },\n dirY: { value: FXTEXTURE_PARAMS.dir?.y },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as FxTextureMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo } from \"react\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type FxTextureParams = {\n /** 1st texture , default : `THREE.Texture()` */\n texture0?: THREE.Texture;\n /** 2nd texture , default : `THREE.Texture()` */\n texture1?: THREE.Texture;\n /** add transparent padding, 0.0 ~ 1.0 , default : `0.0` */\n padding?: number;\n /** The color map. The uv value is affected according to this rbg , default : `THREE.Texture()` */\n map?: THREE.Texture;\n /** intensity of map , r,g value are affecting , default : `0.0` */\n mapIntensity?: number;\n /** Intensity of effect on edges , default : `0.0` */\n edgeIntensity?: number;\n /** epicenter of fx, -1 ~ 1 , default : `vec2(0.0,0.0)` */\n epicenter?: THREE.Vector2;\n /** Switch value to switch between texture0 and texture1 , 0 ~ 1 , default : `0` */\n progress?: number;\n /** direction of transition , default: `THREE.Vector2(0, 0)` */\n dir?: THREE.Vector2;\n};\n\nexport type FxTextureObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const FXTEXTURE_PARAMS: FxTextureParams = Object.freeze({\n texture0: DEFAULT_TEXTURE,\n texture1: DEFAULT_TEXTURE,\n padding: 0.0,\n map: DEFAULT_TEXTURE,\n mapIntensity: 0.0,\n edgeIntensity: 0.0,\n epicenter: new THREE.Vector2(0, 0),\n progress: 0.0,\n dir: new THREE.Vector2(0, 0),\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useFxTexture = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<FxTextureParams, FxTextureObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n dpr: _dpr.fbo,\n size,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<FxTextureParams>(FXTEXTURE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: FxTextureParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: FxTextureParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture0\", params.texture0!);\n updateValue(\"uTexture1\", params.texture1!);\n updateValue(\"progress\", params.progress!);\n // calculate resolution by linear interpolation.\n const tex0Res = [\n params.texture0!?.image?.width || 0,\n params.texture0!?.image?.height || 0,\n ];\n const tex1Res = [\n params.texture1!?.image?.width || 0,\n params.texture1!?.image?.height || 0,\n ];\n const interpolatedResolution = tex0Res.map((value, index) => {\n return value + (tex1Res[index] - value) * params.progress!;\n });\n updateValue(\"uTextureResolution\", interpolatedResolution);\n updateValue(\"padding\", params.padding!);\n updateValue(\"uMap\", params.map!);\n updateValue(\"mapIntensity\", params.mapIntensity!);\n updateValue(\"edgeIntensity\", params.edgeIntensity!);\n updateValue(\"epicenter\", params.epicenter!);\n updateValue(\"dirX\", params.dir!.x);\n updateValue(\"dirY\", params.dir!.y);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D u_texture;\nuniform vec3 u_brightness;\nuniform float u_min;\nuniform float u_max;\n\nvoid main() {\n\tvec2 uv = vUv;\n\tvec3 color = texture2D(u_texture, uv).rgb;\n\tfloat brightness = dot(color,u_brightness);\n\tfloat alpha = clamp(smoothstep(u_min, u_max, brightness),0.0,1.0);\n\tgl_FragColor = vec4(color, alpha);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { BRIGHTNESSPICKER_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class BrightnessPickerMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n u_brightness: { value: THREE.Vector3 };\n u_min: { value: number };\n u_max: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: DEFAULT_TEXTURE },\n u_brightness: { value: BRIGHTNESSPICKER_PARAMS.brightness },\n u_min: { value: BRIGHTNESSPICKER_PARAMS.min },\n u_max: { value: BRIGHTNESSPICKER_PARAMS.max },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as BrightnessPickerMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type BrightnessPickerParams = {\n /** pick brightness from this texture , default : `THREE.Texture` */\n texture?: THREE.Texture;\n /** default : `(0.5,0.5,0.5)` */\n brightness?: THREE.Vector3;\n /** default : `0.0` */\n min?: number;\n /** default : `1.0` */\n max?: number;\n};\n\nexport type BrightnessPickerObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const BRIGHTNESSPICKER_PARAMS: BrightnessPickerParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n brightness: new THREE.Vector3(0.5, 0.5, 0.5),\n min: 0.0,\n max: 1.0,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBrightnessPicker = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n BrightnessPickerParams,\n BrightnessPickerObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<BrightnessPickerParams>(\n BRIGHTNESSPICKER_PARAMS\n );\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: BrightnessPickerParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: BrightnessPickerParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_texture\", params.texture!);\n updateValue(\"u_brightness\", params.brightness!);\n updateValue(\"u_min\", params.min!);\n updateValue(\"u_max\", params.max!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D u_texture;\nuniform sampler2D uMap;\nuniform float uMapIntensity;\n\nvoid main() {\n\tvec2 uv = vUv;\n\n\t#usf <fxBlending>\n\n\tgl_FragColor = texture2D(u_texture, uv);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { FXBLENDING_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class FxBlendingMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n uMap: { value: THREE.Texture };\n uMapIntensity: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: DEFAULT_TEXTURE },\n uMap: { value: DEFAULT_TEXTURE },\n uMapIntensity: { value: FXBLENDING_PARAMS.mapIntensity },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as FxBlendingMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type FxBlendingParams = {\n /** Make this texture Blending , default : `THREE.Texture` */\n texture?: THREE.Texture;\n /** map texture, default : `THREE.Texture` */\n map?: THREE.Texture;\n /** map strength , r,g value are affecting , default : `0.3` */\n mapIntensity?: number;\n};\n\nexport type FxBlendingObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const FXBLENDING_PARAMS: FxBlendingParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n map: DEFAULT_TEXTURE,\n mapIntensity: 0.3,\n});\n\n/**\n * Blend map to texture. You can change the intensity of fx applied by the rg value of map. Unlike \"useBlending\", the map color is not reflected.\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useFxBlending = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n FxBlendingParams,\n FxBlendingObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<FxBlendingParams>(FXBLENDING_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: FxBlendingParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: FxBlendingParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_texture\", params.texture!);\n updateValue(\"uMap\", params.map!);\n updateValue(\"uMapIntensity\", params.mapIntensity!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nuniform sampler2D uTexture;\nuniform sampler2D uMap;\n\nvarying vec2 vUv;\n\nvoid main() {\n\tvec2 uv = vUv;\n\tvec4 tex = texture2D(uTexture, uv);\n\tvec4 map = texture2D(uMap, uv);\n\tgl_FragColor = mix(tex,map,map.a);\n}\n\n","import * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useMemo } from \"react\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n DEFAULT_TEXTURE,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class AlphaBlendingMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uMap: { value: THREE.Texture };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uMap: { value: DEFAULT_TEXTURE },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as AlphaBlendingMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useCallback, useMemo } from \"react\";\nimport { RootState } from \"@react-three/fiber\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type AlphaBlendingParams = {\n /** default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** alpha map , default : `THREE.Texture()` */\n map?: THREE.Texture;\n};\n\nexport type AlphaBlendingObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const ALPHABLENDING_PARAMS: AlphaBlendingParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n map: DEFAULT_TEXTURE,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useAlphaBlending = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n AlphaBlendingParams,\n AlphaBlendingObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n onBeforeInit,\n });\n const camera = useCamera(size);\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] =\n useParams<AlphaBlendingParams>(ALPHABLENDING_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: AlphaBlendingParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: AlphaBlendingParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uMap\", params.map!);\n\n return updateRenderTarget(gl);\n },\n [updateValue, updateRenderTarget, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D u_texture;\nuniform float u_brightness;\nuniform float u_saturation;\n\n#usf <rgb2hsv>\n\n#usf <hsv2rgb>\n\nvoid main() {\n\tvec4 tex = texture2D(u_texture, vUv);\n\tvec3 hsv = rgb2hsv(tex.rgb);\n\thsv.y *= u_saturation;\n\thsv.z *= u_brightness;\n\tvec3 final = hsv2rgb(hsv);\n\tgl_FragColor = vec4(final, tex.a);\n}\n\n","import * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useMemo } from \"react\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { HSV_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class HSVMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n u_brightness: { value: number };\n u_saturation: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: DEFAULT_TEXTURE },\n u_brightness: { value: HSV_PARAMS.brightness },\n u_saturation: { value: HSV_PARAMS.saturation },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as HSVMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useCallback, useMemo } from \"react\";\nimport { RootState } from \"@react-three/fiber\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type HSVParams = {\n /** default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** default : `1` */\n brightness?: number;\n /** default : `1` */\n saturation?: number;\n};\n\nexport type HSVObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const HSV_PARAMS: HSVParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n brightness: 1,\n saturation: 1,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useHSV = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<HSVParams, HSVObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n onBeforeInit,\n });\n const camera = useCamera(size);\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<HSVParams>(HSV_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: HSVParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: HSVParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_texture\", params.texture!);\n updateValue(\"u_brightness\", params.brightness!);\n updateValue(\"u_saturation\", params.saturation!);\n\n return updateRenderTarget(gl);\n },\n [updateValue, updateRenderTarget, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform vec2 uResolution;\nuniform vec2 uTextureResolution;\nuniform sampler2D uTexture;\n\nvoid main() {\n\t#usf <coverTexture>\n\t\n\tgl_FragColor = texture2D(uTexture, uv);\n}\n\n","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useResolution } from \"../../../utils/useResolution\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { setUniform } from \"../../../utils/setUniforms\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class FxTextureMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uResolution: { value: THREE.Vector2 };\n uTextureResolution: { value: THREE.Vector2 };\n uTexture: { value: THREE.Texture };\n };\n}\n\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uResolution: { value: new THREE.Vector2() },\n uTextureResolution: { value: new THREE.Vector2() },\n uTexture: { value: DEFAULT_TEXTURE },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as FxTextureMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo } from \"react\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type CoverTextureParams = {\n /** Textures that you want to display exactly on the screen , default : `THREE.Texture()` */\n texture?: THREE.Texture;\n};\n\nexport type CoverTextureObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const COVERTEXTURE_PARAMS: CoverTextureParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useCoverTexture = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n CoverTextureParams,\n CoverTextureObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n dpr: _dpr.fbo,\n size,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] =\n useParams<CoverTextureParams>(COVERTEXTURE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: CoverTextureParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: CoverTextureParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uTextureResolution\", [\n params.texture!?.source?.data?.width || 0,\n params.texture!?.source?.data?.height || 0,\n ]);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uTexture;\nuniform vec2 uResolution;\nuniform float uBlurSize;\n\nvoid main() {\n\tvec2 uv = vUv;\t\n\tvec2 perDivSize = uBlurSize / uResolution;\n\n\t// calc average color value from adjacent point\n\tvec4 outColor = vec4(\n\t\ttexture2D(uTexture, uv + perDivSize * vec2(-1.0, -1.0)) +\n\t\ttexture2D(uTexture, uv + perDivSize * vec2(0.0, -1.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(1.0, -1.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(-1.0, 0.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(0.0, 0.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(1.0, 0.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(-1.0, 1.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(0.0, 1.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(1.0, 1.0))\n\t\t) / 9.0;\n\t\n\tgl_FragColor = outColor;\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { SIMPLEBLUR_PARAMS } from \".\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class SampleMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uResolution: { value: THREE.Vector2 };\n uBlurSize: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uResolution: { value: new THREE.Vector2(0, 0) },\n uBlurSize: { value: SIMPLEBLUR_PARAMS.blurSize },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as SampleMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useDoubleFBO, DoubleRenderTarget } from \"../../../utils/useDoubleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport type { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { UseFboProps } from \"../../..\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type SimpleBlurParams = {\n /** Make this texture blur , default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** blurSize, default : `3` */\n blurSize?: number;\n /** blurPower, affects performance default : `5` */\n blurPower?: number;\n};\n\nexport type SimpleBlurObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: DoubleRenderTarget;\n output: THREE.Texture;\n};\n\nexport const SIMPLEBLUR_PARAMS: SimpleBlurParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n blurSize: 3,\n blurPower: 5,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useSimpleBlur = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n SimpleBlurParams,\n SimpleBlurObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n\n const fboProps = useMemo(\n () => ({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n }),\n [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions]\n ) as UseFboProps;\n\n const [renderTarget, updateTempTexture] = useDoubleFBO(fboProps);\n const [params, setParams] = useParams<SimpleBlurParams>(SIMPLEBLUR_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: SimpleBlurParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: SimpleBlurParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uResolution\", [\n params.texture!?.source?.data?.width || 0,\n params.texture!?.source?.data?.height || 0,\n ]);\n updateValue(\"uBlurSize\", params.blurSize!);\n\n let _tempTexture: THREE.Texture = updateTempTexture(gl);\n\n for (let i = 0; i < params.blurPower!; i++) {\n updateValue(\"uTexture\", _tempTexture);\n _tempTexture = updateTempTexture(gl);\n }\n\n return _tempTexture;\n },\n [updateTempTexture, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.read.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uTexture;\nuniform sampler2D uBackbuffer;\nuniform vec2 uBegin;\nuniform vec2 uEnd;\nuniform float uStrength;\n\nvoid main() {\n\tvec2 uv = vUv;\t\n\tvec4 current = texture2D(uTexture, uv + uBegin*.1);\n\tvec4 back = texture2D(uBackbuffer, uv + uEnd*.1);\n\tvec4 mixed = mix(current,back,uStrength);\n\tgl_FragColor = mixed;\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MOTIONBLUR_PARAMS } from \".\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class MotionBlurMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uBackbuffer: { value: THREE.Texture };\n uBegin: { value: THREE.Vector2 };\n uEnd: { value: THREE.Vector2 };\n uStrength: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uBackbuffer: { value: DEFAULT_TEXTURE },\n uBegin: { value: MOTIONBLUR_PARAMS.begin },\n uEnd: { value: MOTIONBLUR_PARAMS.end },\n uStrength: { value: MOTIONBLUR_PARAMS.strength },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as MotionBlurMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useDoubleFBO, DoubleRenderTarget } from \"../../../utils/useDoubleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport type { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { UseFboProps } from \"../../..\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type MotionBlurParams = {\n /** Make this texture blur, default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** motion begin, default : `THREE.Vector2(0, 0)` */\n begin?: THREE.Vector2;\n /** motion end, default : `THREE.Vector2(0, 0)` */\n end?: THREE.Vector2;\n /** motion strength, default : `0.9` */\n strength?: number;\n};\n\nexport type MotionBlurObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: DoubleRenderTarget;\n output: THREE.Texture;\n};\n\nexport const MOTIONBLUR_PARAMS: MotionBlurParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n begin: new THREE.Vector2(0, 0),\n end: new THREE.Vector2(0, 0),\n strength: 0.9,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useMotionBlur = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n MotionBlurParams,\n MotionBlurObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n\n const fboProps = useMemo(\n () => ({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n }),\n [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions]\n ) as UseFboProps;\n\n const [renderTarget, updateRenderTarget] = useDoubleFBO(fboProps);\n\n const [params, setParams] = useParams<MotionBlurParams>(MOTIONBLUR_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: MotionBlurParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: MotionBlurParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uBegin\", params.begin!);\n updateValue(\"uEnd\", params.end!);\n updateValue(\"uStrength\", params.strength!);\n\n return updateRenderTarget(gl, ({ read }) => {\n updateValue(\"uBackbuffer\", read);\n });\n },\n [updateRenderTarget, updateValue, updateParams, params]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.read.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform float uProgress;\nuniform float uStrength;\nuniform float uWidth;\nuniform vec2 uEpicenter;\nuniform int uMode;\n\nfloat PI = 3.141592653589;\n\nvoid main() {\n\n\tvec2 uv = vUv;\n\n\tfloat progress = min(uProgress, 1.0);\n\tfloat progressFactor = sin(progress * PI);\n\n\tfloat border = progress - progress * progressFactor * uWidth;\n\tfloat blur = uStrength * progressFactor;\n\t\n\t// 0 ~ 1\n\tvec2 normalizeCenter = (uEpicenter + 1.0) / 2.0;\n\n\t// 0:center 1:horizontal 2:vertical\n\tfloat dist = uMode == 0 ? length(uv - normalizeCenter) : uMode == 1 ? length(uv.x - normalizeCenter.x) : length(uv.y - normalizeCenter.y);\n\n\t// Calculate the maximum distance to the four corners of the screen\n\tfloat maxDistance = max(\n\t\tlength(vec2(0.0, 0.0) - normalizeCenter),\n\t\tmax(\n\t\t\t\tlength(vec2(1.0, 0.0) - normalizeCenter),\n\t\t\t\tmax(\n\t\t\t\t\tlength(vec2(0.0, 1.0) - normalizeCenter),\n\t\t\t\t\tlength(vec2(1.0, 1.0) - normalizeCenter)\n\t\t\t\t)\n\t\t)\n\t);\n\n\t// Scale distance so that waves extend to the edge of the screen\n\tdist = maxDistance > 0.0 ? dist / maxDistance : dist;\n\n\tvec3 color = vec3(smoothstep(border - blur, border, dist) -\n smoothstep(progress, progress + blur, dist));\n\t\n\t// Ensure color is 0 when progress is 0,1\n\tcolor *= progressFactor;\n\n\tgl_FragColor = vec4(color, 1.0);\n}\n\n","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { WAVE_PARAMS } from \".\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class WaveMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uEpicenter: { value: THREE.Vector2 };\n uProgress: { value: number };\n uStrength: { value: number };\n uWidth: { value: number };\n uMode: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uEpicenter: { value: WAVE_PARAMS.epicenter },\n uProgress: { value: WAVE_PARAMS.progress },\n uStrength: { value: WAVE_PARAMS.strength },\n uWidth: { value: WAVE_PARAMS.width },\n uMode: { value: 0 },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as WaveMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo } from \"react\";\nimport { useMesh } from \"./useMesh\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type WaveParams = {\n /** -1.0 ~ 1.0 , default : `vec2(0.0,0.0)` */\n epicenter?: THREE.Vector2;\n /** 0.0 ~ 1.0 , default : `0.0` */\n progress?: number;\n /** default : `0.0` */\n width?: number;\n /** default : `0.0` */\n strength?: number;\n /** default : `center` */\n mode?: \"center\" | \"horizontal\" | \"vertical\";\n};\n\nexport type WaveObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const WAVE_PARAMS: WaveParams = Object.freeze({\n epicenter: new THREE.Vector2(0.0, 0.0),\n progress: 0.0,\n width: 0.0,\n strength: 0.0,\n mode: \"center\",\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx\n */\nexport const useWave = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<WaveParams, WaveObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<WaveParams>(WAVE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: WaveParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: WaveParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uEpicenter\", params.epicenter!);\n updateValue(\"uProgress\", params.progress!);\n updateValue(\"uWidth\", params.width!);\n updateValue(\"uStrength\", params.strength!);\n updateValue(\n \"uMode\",\n params.mode! === \"center\"\n ? 0\n : params.mode! === \"horizontal\"\n ? 1\n : 2\n );\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\nvarying vec2 vUv;\n\nuniform sampler2D u_texture;\nuniform vec2 u_resolution;\nuniform vec3 u_keyColor;\nuniform float u_similarity;\nuniform float u_smoothness;\nuniform float u_spill;\n\nuniform vec4 u_color;\nuniform float u_contrast;\nuniform float u_brightness;\nuniform float u_gamma;\n\n// From https://github.com/libretro/glsl-shaders/blob/master/nnedi3/shaders/rgb-to-yuv.glsl\nvec2 RGBtoUV(vec3 rgb) {\n return vec2(\n rgb.r * -0.169 + rgb.g * -0.331 + rgb.b * 0.5 + 0.5,\n rgb.r * 0.5 + rgb.g * -0.419 + rgb.b * -0.081 + 0.5\n );\n}\nfloat getChromeDist(vec3 texColor){\n\tfloat chromaDist = distance(RGBtoUV(texColor), RGBtoUV(u_keyColor));\n\treturn chromaDist;\n}\n\nfloat getBoxFilteredChromaDist(vec3 rgb, vec2 uv)\n{\n\tvec2 pixel_size = vec2(1.) / u_resolution;\n\tvec2 h_pixel_size = pixel_size / 2.0;\n\tvec2 point_0 = vec2(pixel_size.x, h_pixel_size.y);\n\tvec2 point_1 = vec2(h_pixel_size.x, -pixel_size.y);\n\tfloat distVal = getChromeDist(texture2D(u_texture,uv-point_0).rgb);\n\tdistVal += getChromeDist(texture2D(u_texture,uv+point_0).rgb);\n\tdistVal += getChromeDist(texture2D(u_texture,uv-point_1).rgb);\n\tdistVal += getChromeDist(texture2D(u_texture,uv+point_1).rgb);\n\tdistVal *= 2.0;\n\tdistVal += getChromeDist(rgb);\n\treturn distVal / 9.0;\n}\n\nvec4 CalcColor(vec4 rgba)\n{\n\treturn vec4(pow(rgba.rgb, vec3(u_gamma, u_gamma, u_gamma)) * u_contrast + u_brightness, rgba.a);\n}\n\nvoid main() {\n\n\tvec2 uv = vUv;\n\n\tvec4 texColor = texture2D(u_texture, uv);\n\ttexColor.rgb *= (texColor.a > 0.) ? (1. / texColor.a) : 0.;\n\n\tfloat chromaDist = getBoxFilteredChromaDist(texColor.rgb,uv);\n\t\n\tfloat baseMask = chromaDist - u_similarity;\n\tfloat fullMask = pow(clamp(baseMask / u_smoothness, 0., 1.), 1.5);\n\t\n\ttexColor.rgba *= u_color;\n\ttexColor.a = fullMask;\n\n\tfloat spillVal = pow(clamp(baseMask / u_spill, 0., 1.), 1.5);\n\tfloat desat = clamp(texColor.r * 0.2126 + texColor.g * 0.7152 + texColor.b * 0.0722, 0., 1.);\n\ttexColor.rgb = mix(vec3(desat, desat, desat), texColor.rgb, spillVal);\n\n\tvec4 finColor = CalcColor(texColor);\n\n\tgl_FragColor = finColor;\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { setUniform } from \"../../../utils/setUniforms\";\nimport { useResolution } from \"../../../utils/useResolution\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { CHROMAKEY_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class ChromaKeyMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n u_resolution: { value: THREE.Vector2 };\n u_keyColor: { value: THREE.Color };\n u_similarity: { value: number };\n u_smoothness: { value: number };\n u_spill: { value: number };\n u_color: { value: THREE.Vector4 };\n u_contrast: { value: number };\n u_brightness: { value: number };\n u_gamma: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: DEFAULT_TEXTURE },\n u_resolution: { value: new THREE.Vector2() },\n u_keyColor: { value: CHROMAKEY_PARAMS.color },\n u_similarity: { value: CHROMAKEY_PARAMS.similarity },\n u_smoothness: { value: CHROMAKEY_PARAMS.smoothness },\n u_spill: { value: CHROMAKEY_PARAMS.spill },\n u_color: { value: CHROMAKEY_PARAMS.color },\n u_contrast: { value: CHROMAKEY_PARAMS.contrast },\n u_brightness: { value: CHROMAKEY_PARAMS.brightness },\n u_gamma: { value: CHROMAKEY_PARAMS.gamma },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as ChromaKeyMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"u_resolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type ChromaKeyParams = {\n /** Process this texture with chroma key , default : `THREE.Texture` */\n texture?: THREE.Texture;\n /** key color for chromakey processing , default: `THREE.Color(0x00ff00)` */\n keyColor?: THREE.Color;\n /** If the similarity with the key color exceeds this value, it becomes transparent. , default : `0.2` */\n similarity?: number;\n /** smoothness , default : `0.1` */\n smoothness?: number;\n /** spill , default : `0.2` */\n spill?: number;\n /** tone correction , default : `THREE.Vector4(1.0, 1.0, 1.0, 1.0)` */\n color?: THREE.Vector4;\n /** contrast , default : `1.0` */\n contrast?: number;\n /** brightness , default : `0.0` */\n brightness?: number;\n /** gamma correction , default : `1.0` */\n gamma?: number;\n};\n\nexport type ChromaKeyObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const CHROMAKEY_PARAMS: ChromaKeyParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n keyColor: new THREE.Color(0x00ff00),\n similarity: 0.2,\n smoothness: 0.1,\n spill: 0.2,\n color: new THREE.Vector4(1.0, 1.0, 1.0, 1.0),\n contrast: 1.0,\n brightness: 0.0,\n gamma: 1.0,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useChromaKey = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<ChromaKeyParams, ChromaKeyObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<ChromaKeyParams>(CHROMAKEY_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: ChromaKeyParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: ChromaKeyParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_texture\", params.texture!);\n updateValue(\"u_keyColor\", params.keyColor!);\n updateValue(\"u_similarity\", params.similarity!);\n updateValue(\"u_smoothness\", params.smoothness!);\n updateValue(\"u_spill\", params.spill!);\n updateValue(\"u_color\", params.color!);\n updateValue(\"u_contrast\", params.contrast!);\n updateValue(\"u_brightness\", params.brightness!);\n updateValue(\"u_gamma\", params.gamma!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","precision highp float;\n\nvarying vec2 vUv;\n#usf <varyings>\n\n#usf <uniforms>\n\nvoid main() {\n\tvec4 usf_Position = vec4(position,1.);\n\tvUv = uv;\n\n\t#usf <main>\n\t\n\tgl_Position = usf_Position;\n}","precision highp float;\n\nvarying vec2 vUv;\n#usf <varyings>\n\nuniform sampler2D uTexture;\nuniform sampler2D uBackbuffer;\nuniform float uTime;\nuniform vec2 uPointer;\nuniform vec2 uResolution;\n\n#usf <uniforms>\n\nvoid main() {\n\tvec4 usf_FragColor = vec4(1.);\n\n\t#usf <main>\n\t\n\tgl_FragColor = usf_FragColor;\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport { setUniform, useResolution } from \"../../..\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class BlankMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uBackbuffer: { value: THREE.Texture };\n uTime: { value: number };\n uPointer: { value: THREE.Vector2 };\n uResolution: { value: THREE.Vector2 };\n };\n}\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uBackbuffer: { value: DEFAULT_TEXTURE },\n uTime: { value: 0 },\n uPointer: { value: new THREE.Vector2() },\n uResolution: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as BlankMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport { BlankMaterial, useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useDoubleFBO, DoubleRenderTarget } from \"../../../utils/useDoubleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport type { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { UseFboProps } from \"../../..\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type BlankParams = {\n /** texture, default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n};\n\nexport type BlankObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh<\n THREE.BufferGeometry<THREE.NormalBufferAttributes>,\n BlankMaterial\n >;\n material: BlankMaterial;\n camera: THREE.Camera;\n renderTarget: DoubleRenderTarget;\n output: THREE.Texture;\n};\n\nexport const BLANK_PARAMS: BlankParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n beat: false,\n});\n\n/**\n * By default, it is a blank canvas with nothing drawn on it. You can customise the shaders using `onBeforeCompile`.\n * Fragment shaders have `uTexture`,`uBackbuffer`,`uTime`,`uPointer` and `uResolution` as default uniforms.\n *\n * ※ `usf_FragColor` overrides `gl_FragColor`\n *\n * ※ `usf_Position` overrides `gl_Position`\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBlank = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<BlankParams, BlankObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n\n const camera = useCamera(size);\n\n const fboProps = useMemo(\n () => ({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n }),\n [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions]\n ) as UseFboProps;\n\n const [renderTarget, updateRenderTarget] = useDoubleFBO(fboProps);\n\n const [params, setParams] = useParams<BlankParams>(BLANK_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: BlankParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: BlankParams,\n customParams?: CustomParams\n ) => {\n const { gl, clock, pointer } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uPointer\", pointer);\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uTime\", params.beat || clock.getElapsedTime());\n\n return updateRenderTarget(gl, ({ read }) => {\n updateValue(\"uBackbuffer\", read);\n });\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.read.texture,\n },\n ];\n};\n","precision highp float;\n\nvarying vec2 vUv;\n#usf <varyings>\n\n#usf <uniforms>\n\nvoid main() {\n\tvec4 usf_Position = vec4(position,1.);\n\tvUv = uv;\n\n\t#usf <main>\n\t\n\tgl_Position = usf_Position;\n}","precision highp float;\n\nvarying vec2 vUv;\n#usf <varyings>\n\nuniform vec2 uResolution;\n\n#usf <uniforms>\n\nvoid main() {\n\tvec4 usf_FragColor = vec4(1.);\n\n\t#usf <main>\n\t\n\tgl_FragColor = usf_FragColor;\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport { setUniform, useResolution } from \"../../..\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class RawBlankMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uResolution: { value: THREE.Vector2 };\n };\n}\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uResolution: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as RawBlankMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport { RawBlankMaterial, useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { CustomParams, setCustomUniform } from \"../../../utils/setUniforms\";\nimport type { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { UseFboProps, useSingleFBO } from \"../../../utils/useSingleFBO\";\n\nexport type RawBlankParams = {};\n\nexport type RawBlankObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh<\n THREE.BufferGeometry<THREE.NormalBufferAttributes>,\n RawBlankMaterial\n >;\n material: RawBlankMaterial;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const RAWBLANK_PARAMS: RawBlankParams = Object.freeze({});\n\n/**\n * By default, it is a blank canvas with nothing drawn on it. You can customise the shaders using `onBeforeCompile`.\n * Fragment shaders have `uResolution` as default uniforms.\n *\n * ※ `usf_FragColor` overrides `gl_FragColor`\n *\n * ※ `usf_Position` overrides `gl_Position`\n * \n * `RawBlankParams` is an empty object. so you can't pass any parameters to second argument. Nothing will happen if you pass them.\n * ```tsx\n * useFrame((state) => {\n update(\n state,\n {},\n {\n uTime: state.clock.getElapsedTime(),\n }\n );\n });\n * ```\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useRawBlank = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<RawBlankParams, RawBlankObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n\n const camera = useCamera(size);\n\n const fboProps = useMemo(\n () => ({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n }),\n [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions]\n ) as UseFboProps;\n\n const [renderTarget, updateRenderTarget] = useSingleFBO(fboProps);\n\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: RawBlankParams, customParams?: CustomParams) => {\n updateCustomValue(customParams);\n },\n [updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: RawBlankParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n updateParams(newParams, customParams);\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport { useAddObject } from \"../../../../utils/useAddObject\";\n\ntype UseCreateObjectProps = {\n scene: THREE.Scene | false;\n geometry: THREE.BufferGeometry;\n material: THREE.ShaderMaterial;\n};\n\nexport type MorphParticlePoints = THREE.Points<\n THREE.BufferGeometry<THREE.NormalBufferAttributes>,\n THREE.ShaderMaterial\n>;\nexport type InteractiveMesh = THREE.Mesh<\n THREE.BufferGeometry<THREE.NormalBufferAttributes>,\n THREE.ShaderMaterial\n>;\n\nexport const useCreateObject = ({\n scene,\n geometry,\n material,\n}: UseCreateObjectProps) => {\n const points = useAddObject(\n scene,\n geometry,\n material,\n THREE.Points\n ) as MorphParticlePoints;\n\n // Generate a mesh for pointer\n const interactiveMesh = useAddObject(\n scene,\n useMemo(() => geometry.clone(), [geometry]),\n useMemo(() => material.clone(), [material]),\n THREE.Mesh\n ) as InteractiveMesh;\n interactiveMesh.visible = false;\n\n return {\n points,\n interactiveMesh,\n };\n};\n","uniform vec2 uResolution;\nuniform float uMorphProgress;\nuniform float uPointSize;\n\nuniform sampler2D uPicture;\nuniform bool uIsPicture;\nuniform sampler2D uAlphaPicture;\nuniform bool uIsAlphaPicture;\n\nuniform vec3 uColor0;\nuniform vec3 uColor1;\nuniform vec3 uColor2;\nuniform vec3 uColor3;\n\nuniform float uTime;\n\nuniform float uWobblePositionFrequency;\nuniform float uWobbleTimeFrequency;\nuniform float uWobbleStrength;\nuniform float uWarpPositionFrequency;\nuniform float uWarpTimeFrequency;\nuniform float uWarpStrength;\n\nuniform sampler2D uDisplacement;\nuniform bool uIsDisplacement;\nuniform float uDisplacementIntensity;\n\nuniform float uSizeRandomIntensity;\nuniform float uSizeRandomTimeFrequency;\nuniform float uSizeRandomMin;\nuniform float uSizeRandomMax;\n\nuniform float uMapArrayLength;\n\nuniform float uDivergence;\nuniform vec3 uDivergencePoint;\n\nvarying vec3 vColor;\nvarying float vPictureAlpha;\nvarying vec3 vDisplacementColor;\nvarying float vDisplacementIntensity;\nvarying float vMapArrayIndex;\n\n#usf <morphPositions>\n\n#usf <morphUvs>\n\n#usf <wobble3D>\n\nfloat random3D(vec3 co) {\n\treturn fract(sin(dot(co.xyz ,vec3(12.9898, 78.233, 45.764))) * 43758.5453);\n}\n\nvoid main() {\n\tvec3 newPosition = position;\n\tvec2 newUv = uv;\n\t\n\t#usf <morphPositionTransition>\n\t#usf <morphUvTransition>\n\n\t// displacement for `newPosition`\n\tvec3 displacement = uIsDisplacement ? texture2D(uDisplacement, newUv).rgb : vec3(0.0);\n\tfloat displacementIntensity = smoothstep(0., 1., displacement.g);\n\tvDisplacementColor = displacement;\n\tvDisplacementIntensity = displacementIntensity;\n\n\t// At this point displacement is 0 ~ 1, so normalize it to -1 ~ 1\n\tdisplacement = displacement * 2.-1.;\n\tdisplacement *= displacementIntensity * uDisplacementIntensity;\n\tnewPosition += displacement;\n\n\t// divergence\n\tvec3 divergenceDir = newPosition - uDivergencePoint;\n\tif (uDivergence > 0.0) {\n\t\tnewPosition += normalize(divergenceDir) * uDivergence;\n\t} else if (uDivergence < 0.0) {\n\t\tnewPosition -= normalize(divergenceDir) * abs(uDivergence);\n\t}\n\n\t// Final position\n\tvec4 modelPosition = modelMatrix * vec4(newPosition, 1.0);\n\tvec4 viewPosition = viewMatrix * modelPosition;\n\tvec4 projectedPosition = projectionMatrix * viewPosition;\n\n\t// wobble ※Do not calculate noise if uWobbleStrength is 0\n\tfloat wobble = uWobbleStrength > 0. ? getWobble(projectedPosition.xyz) : 0.0;\n\n\tgl_Position = projectedPosition += wobble;\n\t\n\t// If picture is true then display picture, otherwise 4 color linear interpolation\n\tvColor = uIsPicture ? texture2D(uPicture, newUv).rgb : mix(mix(uColor0, uColor1, newPosition.x), mix(uColor2, uColor3, newPosition.y), newPosition.z);\n\n\t// Set Alpha on picture's g channel\n\tvPictureAlpha = uIsAlphaPicture ? texture2D(uAlphaPicture, newUv).g : 1.;\n\n\t// Multiply the point size by picturAalpha. The size can also be adjusted with alphaMap.\n\t// If uSizeRandomTimeFrequency is greater than 0, the size will be randomly changed\n\tfloat sizeRand = uSizeRandomIntensity > 0. ? mix(uSizeRandomMin,uSizeRandomMax,(simplexNoise4d(vec4(newPosition,uTime * uSizeRandomTimeFrequency))*.5+.5)) * uSizeRandomIntensity : 1.;\n\tgl_PointSize = uPointSize * vPictureAlpha * uResolution.y * sizeRand;\n\tgl_PointSize *= (1.0 / - viewPosition.z);\n\n\t// mapArrayIndex\n\tvMapArrayIndex = uMapArrayLength > 0. ? floor(random3D(position) * uMapArrayLength) : 0.;\n}","precision highp float;\nprecision highp int;\n\nvarying vec3 vColor;\nvarying float vPictureAlpha;\nvarying vec3 vDisplacementColor;\nvarying float vDisplacementIntensity;\nvarying float vMapArrayIndex;\n\nuniform float uBlurAlpha;\nuniform float uBlurRadius;\nuniform sampler2D uMap;\nuniform bool uIsMap;\nuniform sampler2D uAlphaMap;\nuniform bool uIsAlphaMap;\nuniform float uDisplacementColorIntensity;\nuniform float uPointAlpha;\n\n#usf <mapArrayUniforms>\n\nvoid main() { \n\tvec2 uv = gl_PointCoord;\n\tuv.y = 1.0 - uv.y;\n \n\t// make it a circle\n\tfloat distanceToCenter = length(uv - .5);\n\tfloat alpha = clamp(uBlurRadius / distanceToCenter - (1.-uBlurAlpha) , 0. , 1.);\n\n\t// Map if there is a map\t\n\tvec4 mapArrayColor;\n\t#usf <mapArraySwitcher>\n\tvec4 mapColor = isMapArray ? mapArrayColor : uIsMap ? texture2D(uMap,uv) : vec4(1.);\n\tvec3 finalColor = isMapArray || uIsMap ? mapColor.rgb : vColor;\n\n\t// Mix with finalColor if displacement is true\n\tfloat mixIntensity = clamp(uDisplacementColorIntensity * vDisplacementIntensity,0.,1.);\n\tfinalColor = vDisplacementIntensity > 0. ? mix(finalColor,vDisplacementColor,mixIntensity) : finalColor;\n\n\t// get alpha map\n\tfloat alphaMap = uIsAlphaMap ? texture2D(uAlphaMap,uv).g : 1.;\n\n\tgl_FragColor = vec4(finalColor,alpha * vPictureAlpha * alphaMap * mapColor.a * uPointAlpha);\n}\n","import * as THREE from \"three\";\nimport { ISDEV } from \"../../../../libs/constants\";\n\nexport const rewriteVertexShader = (\n modifeidAttributes: Float32Array[],\n targetGeometry: THREE.BufferGeometry,\n targetAttibute: \"position\" | \"uv\",\n vertexShader: string,\n itemSize: number\n) => {\n const vTargetName =\n targetAttibute === \"position\" ? \"positionTarget\" : \"uvTarget\";\n const vAttributeRewriteKey =\n targetAttibute === \"position\"\n ? \"#usf <morphPositions>\"\n : \"#usf <morphUvs>\";\n const vTransitionRewriteKey =\n targetAttibute === \"position\"\n ? \"#usf <morphPositionTransition>\"\n : \"#usf <morphUvTransition>\";\n const vListName =\n targetAttibute === \"position\" ? \"positionsList\" : \"uvsList\";\n const vMorphTransition =\n targetAttibute === \"position\"\n ? `\n\t\t\t\tfloat scaledProgress = uMorphProgress * ${modifeidAttributes.length - 1}.;\n\t\t\t\tint baseIndex = int(floor(scaledProgress));\t\t\n\t\t\t\tbaseIndex = clamp(baseIndex, 0, ${modifeidAttributes.length - 1});\t\t\n\t\t\t\tfloat progress = fract(scaledProgress);\n\t\t\t\tint nextIndex = baseIndex + 1;\n\t\t\t\tnewPosition = mix(positionsList[baseIndex], positionsList[nextIndex], progress);\n\t\t\t`\n : \"newUv = mix(uvsList[baseIndex], uvsList[nextIndex], progress);\";\n\n if (modifeidAttributes.length > 0) {\n // Delete the position at initialization and add the position after normalization\n targetGeometry.deleteAttribute(targetAttibute);\n targetGeometry.setAttribute(\n targetAttibute,\n new THREE.BufferAttribute(modifeidAttributes[0], itemSize)\n );\n\n let stringToAddToMorphAttibutes = \"\";\n let stringToAddToMorphAttibutesList = \"\";\n\n modifeidAttributes.forEach((target, index) => {\n targetGeometry.setAttribute(\n `${vTargetName}${index}`,\n new THREE.BufferAttribute(target, itemSize)\n );\n stringToAddToMorphAttibutes += `attribute vec${itemSize} ${vTargetName}${index};\\n`;\n if (index === 0) {\n stringToAddToMorphAttibutesList += `${vTargetName}${index}`;\n } else {\n stringToAddToMorphAttibutesList += `,${vTargetName}${index}`;\n }\n });\n\n vertexShader = vertexShader.replace(\n `${vAttributeRewriteKey}`,\n stringToAddToMorphAttibutes\n );\n vertexShader = vertexShader.replace(\n `${vTransitionRewriteKey}`,\n `vec${itemSize} ${vListName}[${modifeidAttributes.length}] = vec${itemSize}[](${stringToAddToMorphAttibutesList});\n\t\t\t\t${vMorphTransition}\n\t\t\t`\n );\n } else {\n vertexShader = vertexShader.replace(`${vAttributeRewriteKey}`, \"\");\n vertexShader = vertexShader.replace(`${vTransitionRewriteKey}`, \"\");\n if (!targetGeometry?.attributes[targetAttibute]?.array) {\n ISDEV &&\n console.error(\n `use-shader-fx:geometry.attributes.${targetAttibute}.array is not found`\n );\n }\n }\n\n return vertexShader;\n};\n","import * as THREE from \"three\";\n\n/**\n * Calculate the maximum length of attribute (position and uv) to match the length of all lists. Randomly map missing attributes when matching to maximum length\n * */\nexport const modifyAttributes = (\n attribute: Float32Array[] | undefined,\n targetGeometry: THREE.BufferGeometry,\n targetAttibute: \"position\" | \"uv\",\n itemSize: number\n) => {\n let modifiedAttribute: Float32Array[] = [];\n if (attribute && attribute.length > 0) {\n if (targetGeometry?.attributes[targetAttibute]?.array) {\n modifiedAttribute = [\n targetGeometry.attributes[targetAttibute].array as Float32Array,\n ...attribute,\n ];\n } else {\n modifiedAttribute = attribute;\n }\n\n const maxLength = Math.max(...modifiedAttribute.map((arr) => arr.length));\n\n modifiedAttribute.forEach((arr, i) => {\n if (arr.length < maxLength) {\n const diff = (maxLength - arr.length) / itemSize;\n const addArray = [];\n const oldArray = Array.from(arr);\n for (let i = 0; i < diff; i++) {\n const randomIndex =\n Math.floor((arr.length / itemSize) * Math.random()) *\n itemSize;\n for (let j = 0; j < itemSize; j++) {\n addArray.push(oldArray[randomIndex + j]);\n }\n }\n modifiedAttribute[i] = new Float32Array([...oldArray, ...addArray]);\n }\n });\n }\n return modifiedAttribute;\n};\n","import * as THREE from \"three\";\n\nexport const rewriteFragmentShader = (\n mapArray: THREE.Texture[] | undefined,\n fragmentShader: string\n) => {\n let mapArrayShader = \"\";\n const mapArrayUniforms: any = {};\n let textureSwitcherCode = \"mapArrayColor = \";\n\n if (mapArray && mapArray.length > 0) {\n mapArray.forEach((map, index) => {\n const condition = `vMapArrayIndex < ${index}.1`; // Comparison with a number with .1 added as the handling of floating points may vary between GPU drivers\n const action = `texture2D(uMapArray${index}, uv)`;\n textureSwitcherCode += `( ${condition} ) ? ${action} : `;\n mapArrayShader += `\n uniform sampler2D uMapArray${index};\n `;\n mapArrayUniforms[`uMapArray${index}`] = { value: map };\n });\n textureSwitcherCode += \"vec4(1.);\";\n mapArrayShader += `bool isMapArray = true;`;\n mapArrayUniforms[\"uMapArrayLength\"] = { value: mapArray.length };\n } else {\n textureSwitcherCode += \"vec4(1.0);\";\n mapArrayShader += `bool isMapArray = false;`;\n mapArrayUniforms[\"uMapArrayLength\"] = { value: 0 };\n }\n const rewritedFragmentShader = fragmentShader\n .replace(`#usf <mapArraySwitcher>`, textureSwitcherCode)\n .replace(`#usf <mapArrayUniforms>`, mapArrayShader);\n\n return { rewritedFragmentShader, mapArrayUniforms };\n};\n","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport { useResolution } from \"../../../../utils/useResolution\";\nimport { setUniform } from \"../../../../utils/setUniforms\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/main.frag\";\nimport { MORPHPARTICLES_PARAMS } from \"..\";\nimport {\n DEFAULT_TEXTURE,\n ISDEV,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../../libs/constants\";\nimport { rewriteVertexShader } from \"./rewriteVertexShader\";\nimport { modifyAttributes } from \"./modifyAttributes\";\nimport { rewriteFragmentShader } from \"./rewriteFragmentShader\";\nimport { MaterialProps, Size } from \"../../../types\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class MorphParticlesMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uResolution: { value: THREE.Vector2 };\n uMorphProgress: { value: number };\n uBlurAlpha: { value: number };\n uBlurRadius: { value: number };\n uPointSize: { value: number };\n uPointAlpha: { value: number };\n uPicture: { value: THREE.Texture };\n uIsPicture: { value: boolean };\n uAlphaPicture: { value: THREE.Texture };\n uIsAlphaPicture: { value: boolean };\n uColor0: { value: THREE.Color };\n uColor1: { value: THREE.Color };\n uColor2: { value: THREE.Color };\n uColor3: { value: THREE.Color };\n uMap: { value: THREE.Texture };\n uIsMap: { value: boolean };\n uAlphaMap: { value: THREE.Texture };\n uIsAlphaMap: { value: boolean };\n uTime: { value: number };\n uWobblePositionFrequency: { value: number };\n uWobbleTimeFrequency: { value: number };\n uWobbleStrength: { value: number };\n uWarpPositionFrequency: { value: number };\n uWarpTimeFrequency: { value: number };\n uWarpStrength: { value: number };\n uDisplacement: { value: THREE.Texture };\n uIsDisplacement: { value: boolean };\n uDisplacementIntensity: { value: number };\n uDisplacementColorIntensity: { value: number };\n uSizeRandomIntensity: { value: number };\n uSizeRandomTimeFrequency: { value: number };\n uSizeRandomMin: { value: number };\n uSizeRandomMax: { value: number };\n uDivergence: { value: number };\n uDivergencePoint: { value: THREE.Vector3 };\n };\n}\n\nexport const useMaterial = ({\n size,\n dpr,\n geometry,\n positions,\n uvs,\n mapArray,\n onBeforeInit,\n}: {\n size: Size;\n dpr: number | false;\n geometry: THREE.BufferGeometry;\n positions?: Float32Array[];\n uvs?: Float32Array[];\n mapArray?: THREE.Texture[];\n} & MaterialProps) => {\n const modifiedPositions = useMemo(\n () => modifyAttributes(positions, geometry, \"position\", 3),\n [positions, geometry]\n );\n\n const modifiedUvs = useMemo(\n () => modifyAttributes(uvs, geometry, \"uv\", 2),\n [uvs, geometry]\n );\n\n const material = useMemo(() => {\n if (modifiedPositions.length !== modifiedUvs.length) {\n ISDEV &&\n console.log(\"use-shader-fx:positions and uvs are not matched\");\n }\n\n // vertex\n const rewritedVertexShader = rewriteVertexShader(\n modifiedUvs,\n geometry,\n \"uv\",\n rewriteVertexShader(\n modifiedPositions,\n geometry,\n \"position\",\n vertexShader,\n 3\n ),\n 2\n );\n\n // fragment\n const { rewritedFragmentShader, mapArrayUniforms } =\n rewriteFragmentShader(mapArray, fragmentShader);\n\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uResolution: { value: new THREE.Vector2(0, 0) },\n uMorphProgress: {\n value: MORPHPARTICLES_PARAMS.morphProgress,\n },\n uBlurAlpha: { value: MORPHPARTICLES_PARAMS.blurAlpha },\n uBlurRadius: { value: MORPHPARTICLES_PARAMS.blurRadius },\n uPointSize: { value: MORPHPARTICLES_PARAMS.pointSize },\n uPointAlpha: { value: MORPHPARTICLES_PARAMS.pointAlpha },\n uPicture: { value: DEFAULT_TEXTURE },\n uIsPicture: { value: false },\n uAlphaPicture: { value: DEFAULT_TEXTURE },\n uIsAlphaPicture: { value: false },\n uColor0: { value: MORPHPARTICLES_PARAMS.color0 },\n uColor1: { value: MORPHPARTICLES_PARAMS.color1 },\n uColor2: { value: MORPHPARTICLES_PARAMS.color2 },\n uColor3: { value: MORPHPARTICLES_PARAMS.color3 },\n uMap: { value: DEFAULT_TEXTURE },\n uIsMap: { value: false },\n uAlphaMap: { value: DEFAULT_TEXTURE },\n uIsAlphaMap: { value: false },\n uTime: { value: 0 },\n uWobblePositionFrequency: {\n value: MORPHPARTICLES_PARAMS.wobblePositionFrequency,\n },\n uWobbleTimeFrequency: {\n value: MORPHPARTICLES_PARAMS.wobbleTimeFrequency,\n },\n uWobbleStrength: {\n value: MORPHPARTICLES_PARAMS.wobbleStrength,\n },\n uWarpPositionFrequency: {\n value: MORPHPARTICLES_PARAMS.warpPositionFrequency,\n },\n uWarpTimeFrequency: {\n value: MORPHPARTICLES_PARAMS.warpTimeFrequency,\n },\n uWarpStrength: { value: MORPHPARTICLES_PARAMS.warpStrength },\n uDisplacement: { value: DEFAULT_TEXTURE },\n uIsDisplacement: { value: false },\n uDisplacementIntensity: {\n value: MORPHPARTICLES_PARAMS.displacementIntensity,\n },\n uDisplacementColorIntensity: {\n value: MORPHPARTICLES_PARAMS.displacementColorIntensity,\n },\n uSizeRandomIntensity: {\n value: MORPHPARTICLES_PARAMS.sizeRandomIntensity,\n },\n uSizeRandomTimeFrequency: {\n value: MORPHPARTICLES_PARAMS.sizeRandomTimeFrequency,\n },\n uSizeRandomMin: {\n value: MORPHPARTICLES_PARAMS.sizeRandomMin,\n },\n uSizeRandomMax: {\n value: MORPHPARTICLES_PARAMS.sizeRandomMax,\n },\n uDivergence: { value: MORPHPARTICLES_PARAMS.divergence },\n uDivergencePoint: {\n value: MORPHPARTICLES_PARAMS.divergencePoint,\n },\n ...mapArrayUniforms,\n },\n vertexShader: rewritedVertexShader,\n fragmentShader: rewritedFragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n blending: THREE.AdditiveBlending,\n // Must be transparent\n transparent: true,\n });\n\n return mat;\n }, [\n geometry,\n modifiedPositions,\n modifiedUvs,\n mapArray,\n onBeforeInit,\n ]) as MorphParticlesMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n return { material, modifiedPositions, modifiedUvs };\n};\n","import * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport {\n InteractiveMesh,\n MorphParticlePoints,\n useCreateObject,\n} from \"./utils/useCreateObject\";\nimport { useMaterial } from \"./utils/useMaterial\";\nimport { MorphParticlesParams } from \".\";\nimport {\n setUniform,\n CustomParams,\n setCustomUniform,\n} from \"../../../utils/setUniforms\";\nimport { useCallback, useMemo } from \"react\";\nimport { Create3DHooksProps } from \"../types\";\nimport { Dpr, Size } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type UseCreateMorphParticlesProps = {\n size: Size;\n dpr: Dpr;\n /** default : `THREE.SphereGeometry(1, 32, 32)` */\n geometry?: THREE.BufferGeometry;\n positions?: Float32Array[];\n uvs?: Float32Array[];\n /** Array of textures to map to points. Mapped at random. */\n mapArray?: THREE.Texture[];\n};\n\ntype UpdateUniform = (\n rootState: RootState | null,\n newParams?: MorphParticlesParams,\n customParams?: CustomParams\n) => void;\n\ntype UseCreateMorphParticlesReturn = [\n UpdateUniform,\n {\n points: MorphParticlePoints;\n interactiveMesh: InteractiveMesh;\n positions: Float32Array[];\n uvs: Float32Array[];\n }\n];\n\nexport const useCreateMorphParticles = ({\n size,\n dpr,\n scene = false,\n geometry,\n positions,\n uvs,\n mapArray,\n onBeforeInit,\n}: Create3DHooksProps &\n UseCreateMorphParticlesProps): UseCreateMorphParticlesReturn => {\n const _dpr = getDpr(dpr);\n\n const morphGeometry = useMemo(() => {\n const geo = geometry || new THREE.SphereGeometry(1, 32, 32);\n geo.setIndex(null);\n // Since it is a particle, normal is not necessary\n geo.deleteAttribute(\"normal\");\n return geo;\n }, [geometry]);\n\n const { material, modifiedPositions, modifiedUvs } = useMaterial({\n size,\n dpr: _dpr.shader,\n geometry: morphGeometry,\n positions,\n uvs,\n mapArray,\n onBeforeInit,\n });\n\n const { points, interactiveMesh } = useCreateObject({\n scene,\n geometry: morphGeometry,\n material,\n });\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateUniform = useCallback<UpdateUniform>(\n (rootState, newParams, customParams) => {\n if (rootState) {\n updateValue(\n \"uTime\",\n newParams?.beat || rootState.clock.getElapsedTime()\n );\n }\n if (newParams === undefined) {\n return;\n }\n updateValue(\"uMorphProgress\", newParams.morphProgress);\n updateValue(\"uBlurAlpha\", newParams.blurAlpha);\n updateValue(\"uBlurRadius\", newParams.blurRadius);\n updateValue(\"uPointSize\", newParams.pointSize);\n updateValue(\"uPointAlpha\", newParams.pointAlpha);\n if (newParams.picture) {\n updateValue(\"uPicture\", newParams.picture);\n updateValue(\"uIsPicture\", true);\n } else if (newParams.picture === false) {\n updateValue(\"uIsPicture\", false);\n }\n if (newParams.alphaPicture) {\n updateValue(\"uAlphaPicture\", newParams.alphaPicture);\n updateValue(\"uIsAlphaPicture\", true);\n } else if (newParams.alphaPicture === false) {\n updateValue(\"uIsAlphaPicture\", false);\n }\n updateValue(\"uColor0\", newParams.color0);\n updateValue(\"uColor1\", newParams.color1);\n updateValue(\"uColor2\", newParams.color2);\n updateValue(\"uColor3\", newParams.color3);\n if (newParams.map) {\n updateValue(\"uMap\", newParams.map);\n updateValue(\"uIsMap\", true);\n } else if (newParams.map === false) {\n updateValue(\"uIsMap\", false);\n }\n if (newParams.alphaMap) {\n updateValue(\"uAlphaMap\", newParams.alphaMap);\n updateValue(\"uIsAlphaMap\", true);\n } else if (newParams.alphaMap === false) {\n updateValue(\"uIsAlphaMap\", false);\n }\n updateValue(\"uWobbleStrength\", newParams.wobbleStrength);\n updateValue(\n \"uWobblePositionFrequency\",\n newParams.wobblePositionFrequency\n );\n updateValue(\"uWobbleTimeFrequency\", newParams.wobbleTimeFrequency);\n updateValue(\"uWarpStrength\", newParams.warpStrength);\n updateValue(\"uWarpPositionFrequency\", newParams.warpPositionFrequency);\n updateValue(\"uWarpTimeFrequency\", newParams.warpTimeFrequency);\n if (newParams.displacement) {\n updateValue(\"uDisplacement\", newParams.displacement);\n updateValue(\"uIsDisplacement\", true);\n } else if (newParams.displacement === false) {\n updateValue(\"uIsDisplacement\", false);\n }\n updateValue(\"uDisplacementIntensity\", newParams.displacementIntensity);\n updateValue(\n \"uDisplacementColorIntensity\",\n newParams.displacementColorIntensity\n );\n updateValue(\"uSizeRandomIntensity\", newParams.sizeRandomIntensity);\n updateValue(\n \"uSizeRandomTimeFrequency\",\n newParams.sizeRandomTimeFrequency\n );\n updateValue(\"uSizeRandomMin\", newParams.sizeRandomMin);\n updateValue(\"uSizeRandomMax\", newParams.sizeRandomMax);\n updateValue(\"uDivergence\", newParams.divergence);\n updateValue(\"uDivergencePoint\", newParams.divergencePoint);\n\n updateCustomValue(customParams);\n },\n [updateValue, updateCustomValue]\n );\n\n return [\n updateUniform,\n {\n points,\n interactiveMesh,\n positions: modifiedPositions,\n uvs: modifiedUvs,\n },\n ];\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo } from \"react\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport { HooksReturn } from \"../../types\";\nimport {\n useCreateMorphParticles,\n UseCreateMorphParticlesProps,\n} from \"./useCreateMorphParticles\";\nimport { HooksProps3D } from \"../types\";\nimport { InteractiveMesh, MorphParticlePoints } from \"./utils/useCreateObject\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { CustomParams } from \"../../../utils/setUniforms\";\n\nexport type MorphParticlesParams = {\n /** progress value to morph vertices,0~1 */\n morphProgress?: number;\n blurAlpha?: number;\n blurRadius?: number;\n pointSize?: number;\n /** default : `1` */\n pointAlpha?: number;\n /** Since the color is extracted based on the attribute `uv`, the intended behavior will not occur if there is no uv in the attribute. */\n picture?: THREE.Texture | false;\n /** The alpha map is a grayscale texture that controls the opacity across the surface (black: fully transparent; white: fully opaque). use the green channel when sampling this texture. It also affects the size of the point. default : `false` */\n alphaPicture?: THREE.Texture | false;\n color0?: THREE.Color;\n color1?: THREE.Color;\n color2?: THREE.Color;\n color3?: THREE.Color;\n /** This maps to point,texture */\n map?: THREE.Texture | false;\n /** The alpha map is a grayscale texture that controls the opacity across the surface (black: fully transparent; white: fully opaque). use the green channel when sampling this texture. default : `false` */\n alphaMap?: THREE.Texture | false;\n /** If ​​wobbleStrength is set to 0, wobble will stop. It will also affect noise calculation, default : `0` */\n wobbleStrength?: number;\n wobblePositionFrequency?: number;\n wobbleTimeFrequency?: number;\n /** default : `0` */\n warpStrength?: number;\n warpPositionFrequency?: number;\n warpTimeFrequency?: number;\n /** Manipulate the vertices using the color channels of this texture. The strength of the displacement changes depending on the g channel of this texture */\n displacement?: THREE.Texture | false;\n /** Strength of displacement. The strength of displacement depends on g ch, but is the value multiplied by it , default : `1` */\n displacementIntensity?: number;\n /** Strength to reflect color ch of displacement texture */\n displacementColorIntensity?: number;\n /** If set to 0, noise calculation stops, default : `0` */\n sizeRandomIntensity?: number;\n sizeRandomTimeFrequency?: number;\n sizeRandomMin?: number;\n sizeRandomMax?: number;\n /** Divergence rate of a point. Negative cases are dense, positive cases are divergent, default : `0` */\n divergence?: number;\n /** Divergence centre point, default : `THREE.Vector3(0)` */\n divergencePoint?: THREE.Vector3;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n};\n\nexport type MorphParticlesObject = {\n scene: THREE.Scene;\n points: MorphParticlePoints;\n interactiveMesh: InteractiveMesh;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n positions: Float32Array[];\n uvs: Float32Array[];\n};\n\nexport const MORPHPARTICLES_PARAMS: MorphParticlesParams = Object.freeze({\n morphProgress: 0,\n blurAlpha: 0.9,\n blurRadius: 0.05,\n pointSize: 0.05,\n pointAlpha: 1,\n picture: false,\n alphaPicture: false,\n color0: new THREE.Color(0xff0000),\n color1: new THREE.Color(0x00ff00),\n color2: new THREE.Color(0x0000ff),\n color3: new THREE.Color(0xffff00),\n map: false,\n alphaMap: false,\n wobbleStrength: 0.0,\n wobblePositionFrequency: 0.5,\n wobbleTimeFrequency: 0.5,\n warpStrength: 0.0,\n warpPositionFrequency: 0.5,\n warpTimeFrequency: 0.5,\n displacement: false,\n displacementIntensity: 1,\n displacementColorIntensity: 0,\n sizeRandomIntensity: 0,\n sizeRandomTimeFrequency: 0.2,\n sizeRandomMin: 0.5,\n sizeRandomMax: 1.5,\n divergence: 0,\n divergencePoint: new THREE.Vector3(0),\n beat: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx\n */\nexport const useMorphParticles = ({\n size,\n dpr,\n isSizeUpdate,\n renderTargetOptions,\n camera,\n geometry,\n positions,\n uvs,\n onBeforeInit,\n}: HooksProps3D & UseCreateMorphParticlesProps): HooksReturn<\n MorphParticlesParams,\n MorphParticlesObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n\n const [\n updateUniform,\n {\n points,\n interactiveMesh,\n positions: generatedPositions,\n uvs: generatedUvs,\n },\n ] = useCreateMorphParticles({\n scene,\n size,\n dpr,\n geometry,\n positions,\n uvs,\n onBeforeInit,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n depthBuffer: true,\n ...renderTargetOptions,\n });\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: MorphParticlesParams,\n customParams?: CustomParams\n ) => {\n updateUniform(rootState, newParams, customParams);\n return updateRenderTarget(rootState.gl);\n },\n [updateRenderTarget, updateUniform]\n );\n\n const updateParams = useCallback(\n (newParams?: MorphParticlesParams, customParams?: CustomParams) => {\n updateUniform(null, newParams, customParams);\n },\n [updateUniform]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene,\n points,\n interactiveMesh,\n renderTarget,\n output: renderTarget.texture,\n positions: generatedPositions,\n uvs: generatedUvs,\n },\n ];\n};\n","import * as THREE from \"three\";\n\nexport const rewriteVertexShader = (\n parameters: THREE.WebGLProgramParametersWithUniforms\n) => {\n const isDepth = parameters.shaderType === \"MeshDepthMaterial\";\n\n parameters.vertexShader = parameters.vertexShader.replace(\n \"#include <beginnormal_vertex>\",\n `\n\t\t\tvec3 objectNormal = usf_Normal;\n\t\t\t#ifdef USE_TANGENT\n\t\t\tvec3 objectTangent = vec3( tangent.xyz );\n\t\t\t#endif\n\t\t`\n );\n\n parameters.vertexShader = parameters.vertexShader.replace(\n \"#include <begin_vertex>\",\n `\n\t\t\tvec3 transformed = usf_Position;\n\t\t\t#ifdef USE_ALPHAHASH\n\t\t\tvPosition = vec3( position );\n\t\t\t#endif\n\t\t`\n );\n\n parameters.vertexShader = parameters.vertexShader.replace(\n \"void main() {\",\n `\n\t\tuniform float uTime;\n\t\tuniform float uWobblePositionFrequency;\n\t\tuniform float uWobbleTimeFrequency;\n\t\tuniform float uWobbleStrength;\n\t\tuniform float uWarpPositionFrequency;\n\t\tuniform float uWarpTimeFrequency;\n\t\tuniform float uWarpStrength;\n\n\t\t${isDepth ? \"attribute vec4 tangent;\" : \"\"}\n\t\t\n\t\tvarying float vWobble;\n\t\tvarying vec2 vPosition;\n\t\t\n\t\t// edge\n\t\tvarying vec3 vEdgeNormal;\n\t\tvarying vec3 vEdgeViewPosition;\n\n\t\t#usf <wobble3D>\n\n\t\tvoid main() {\n\t\t\n\t\t\tvec3 usf_Position = position;\n\t\t\tvec3 usf_Normal = normal;\n\t\t\tvec3 biTangent = cross(normal, tangent.xyz);\n\t\t\t\n\t\t\t// Neighbours positions\n\t\t\tfloat shift = 0.01;\n\t\t\tvec3 positionA = usf_Position + tangent.xyz * shift;\n\t\t\tvec3 positionB = usf_Position + biTangent * shift;\n\t\t\t\n\t\t\t// wobble\n\t\t\tfloat wobble = (uWobbleStrength > 0.) ? getWobble(usf_Position) : 0.0;\n\t\t\tfloat wobblePositionA = (uWobbleStrength > 0.) ? getWobble(positionA) : 0.0;\n\t\t\tfloat wobblePositionB = (uWobbleStrength > 0.) ? getWobble(positionB) : 0.0;\n\t\t\t\n\t\t\tusf_Position += wobble * normal;\n\t\t\tpositionA += wobblePositionA * normal;\n\t\t\tpositionB += wobblePositionB * normal;\n\n\t\t\t// Compute normal\n\t\t\tvec3 toA = normalize(positionA - usf_Position);\n\t\t\tvec3 toB = normalize(positionB - usf_Position);\n\t\t\tusf_Normal = cross(toA, toB);\n\t\t\t\n\t\t\t// Varying\n\t\t\tvPosition = usf_Position.xy;\n\t\t\tvWobble = wobble/uWobbleStrength;\n\t\t\t\n\t\t\tvEdgeNormal = normalize(normalMatrix * usf_Normal);\n\t\t\tvec4 viewPosition = viewMatrix * modelMatrix * vec4(usf_Position, 1.0);\n\t\t\tvEdgeViewPosition = normalize(viewPosition.xyz);\n\t\t`\n );\n};\n","import * as THREE from \"three\";\n\nexport const rewriteFragmentShader = (\n parameters: THREE.WebGLProgramParametersWithUniforms\n) => {\n // diffuse color , Manipulate color mixing ratio with `uColorMix`\n parameters.fragmentShader = parameters.fragmentShader.replace(\n \"#include <color_fragment>\",\n `\n\t\t\t#include <color_fragment>\n\n\t\t\tif (uEdgeThreshold > 0.0) {\n\t\t\t\tfloat edgeThreshold = dot(vEdgeNormal, -vEdgeViewPosition);\n\t\t\t\tdiffuseColor = edgeThreshold < uEdgeThreshold ? vec4(uEdgeColor, 1.0) : mix(diffuseColor, usf_DiffuseColor, uColorMix);\n\t\t\t} else {\n\t\t\t\tdiffuseColor = mix(diffuseColor, usf_DiffuseColor, uColorMix);\n\t\t\t}\n\t\t`\n );\n\n parameters.fragmentShader = parameters.fragmentShader.replace(\n \"void main() {\",\n `\n\t\t\tuniform vec3 uColor0;\n\t\t\tuniform vec3 uColor1;\n\t\t\tuniform vec3 uColor2;\n\t\t\tuniform vec3 uColor3;\n\t\t\tuniform float uColorMix;\n\t\t\tuniform float uEdgeThreshold;\n\t\t\tuniform vec3 uEdgeColor;\n\t\t\t\n\t\t\t// transmission\n\t\t\tuniform float uChromaticAberration; \n\t\t\tuniform float uAnisotropicBlur; \n\t\t\tuniform float uTime;\n\t\t\tuniform float uDistortion;\n\t\t\tuniform float uDistortionScale;\n\t\t\tuniform float uTemporalDistortion;\n\t\t\tuniform float uRefractionSamples;\n\t\t\t\n\t\t\tfloat rand(float n){return fract(sin(n) * 43758.5453123);}\n\t\t\t\n\t\t\t#usf <snoise>\n\n\t\t\tvarying float vWobble;\n\t\t\tvarying vec2 vPosition;\n\t\t\tvarying vec3 vEdgeNormal;\n\t\t\tvarying vec3 vEdgeViewPosition;\n\t\t\t\n\t\t\tvoid main(){\n\t\t\t\t\n\t\t\t\tvec4 usf_DiffuseColor = vec4(1.0);\n\t\t\t\tfloat colorWobbleMix = smoothstep(-1.,1.,vWobble);\n\t\t\t\tvec2 colorPosMix = vec2(smoothstep(-1.,1.,vPosition.x),smoothstep(-1.,1.,vPosition.y));\n\t\t\t\n\t\t\t\tusf_DiffuseColor.rgb = mix(mix(uColor0, uColor1, colorPosMix.x), mix(uColor2, uColor3, colorPosMix.y), colorWobbleMix);\n\t\t`\n );\n};\n","#ifdef USE_TRANSMISSION\n\n\t// Transmission code is based on glTF-Sampler-Viewer\n\t// https://github.com/KhronosGroup/glTF-Sample-Viewer\n\n\tuniform float _transmission;\n\tuniform float thickness;\n\tuniform float attenuationDistance;\n\tuniform vec3 attenuationColor;\n\n\t#ifdef USE_TRANSMISSIONMAP\n\n\t\tuniform sampler2D transmissionMap;\n\n\t#endif\n\n\t#ifdef USE_THICKNESSMAP\n\n\t\tuniform sampler2D thicknessMap;\n\n\t#endif\n\n\tuniform vec2 transmissionSamplerSize;\n\tuniform sampler2D transmissionSamplerMap;\n\n\tuniform mat4 modelMatrix;\n\tuniform mat4 projectionMatrix;\n\n\tvarying vec3 vWorldPosition;\n\n\t// Mipped Bicubic Texture Filtering by N8\n\t// https://www.shadertoy.com/view/Dl2SDW\n\n\tfloat w0( float a ) {\n\n\t\treturn ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 );\n\n\t}\n\n\tfloat w1( float a ) {\n\n\t\treturn ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 );\n\n\t}\n\n\tfloat w2( float a ){\n\n\t\treturn ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 );\n\n\t}\n\n\tfloat w3( float a ) {\n\n\t\treturn ( 1.0 / 6.0 ) * ( a * a * a );\n\n\t}\n\n\t// g0 and g1 are the two amplitude functions\n\tfloat g0( float a ) {\n\n\t\treturn w0( a ) + w1( a );\n\n\t}\n\n\tfloat g1( float a ) {\n\n\t\treturn w2( a ) + w3( a );\n\n\t}\n\n\t// h0 and h1 are the two offset functions\n\tfloat h0( float a ) {\n\n\t\treturn - 1.0 + w1( a ) / ( w0( a ) + w1( a ) );\n\n\t}\n\n\tfloat h1( float a ) {\n\n\t\treturn 1.0 + w3( a ) / ( w2( a ) + w3( a ) );\n\n\t}\n\n\tvec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) {\n\n\t\tuv = uv * texelSize.zw + 0.5;\n\n\t\tvec2 iuv = floor( uv );\n\t\tvec2 fuv = fract( uv );\n\n\t\tfloat g0x = g0( fuv.x );\n\t\tfloat g1x = g1( fuv.x );\n\t\tfloat h0x = h0( fuv.x );\n\t\tfloat h1x = h1( fuv.x );\n\t\tfloat h0y = h0( fuv.y );\n\t\tfloat h1y = h1( fuv.y );\n\n\t\tvec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;\n\t\tvec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;\n\t\tvec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;\n\t\tvec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;\n\n\t\treturn g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) +\n\t\t\tg1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) );\n\n\t}\n\n\tvec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) {\n\n\t\tvec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) );\n\t\tvec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) );\n\t\tvec2 fLodSizeInv = 1.0 / fLodSize;\n\t\tvec2 cLodSizeInv = 1.0 / cLodSize;\n\t\tvec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) );\n\t\tvec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) );\n\t\treturn mix( fSample, cSample, fract( lod ) );\n\n\t}\n\n\tvec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) {\n\n\t\t// Direction of refracted light.\n\t\tvec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior );\n\n\t\t// Compute rotation-independant scaling of the model matrix.\n\t\tvec3 modelScale;\n\t\tmodelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) );\n\t\tmodelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) );\n\t\tmodelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) );\n\n\t\t// The thickness is specified in local space.\n\t\treturn normalize( refractionVector ) * thickness * modelScale;\n\n\t}\n\n\tfloat applyIorToRoughness( const in float roughness, const in float ior ) {\n\n\t\t// Scale roughness with IOR so that an IOR of 1.0 results in no microfacet refraction and\n\t\t// an IOR of 1.5 results in the default amount of microfacet refraction.\n\t\treturn roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 );\n\n\t}\n\n\tvec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) {\n\n\t\tfloat lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior );\n\t\treturn textureBicubic( transmissionSamplerMap, fragCoord.xy, lod );\n\n\t}\n\n\tvec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) {\n\n\t\tif ( isinf( attenuationDistance ) ) {\n\n\t\t\t// Attenuation distance is +∞, i.e. the transmitted color is not attenuated at all.\n\t\t\treturn vec3( 1.0 );\n\n\t\t} else {\n\n\t\t\t// Compute light attenuation using Beer's law.\n\t\t\tvec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance;\n\t\t\tvec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); // Beer's law\n\t\t\treturn transmittance;\n\n\t\t}\n\n\t}\n\n\tvec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor,\n\t\tconst in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix,\n\t\tconst in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness,\n\t\tconst in vec3 attenuationColor, const in float attenuationDistance ) {\n\n\t\tvec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix );\n\t\tvec3 refractedRayExit = position + transmissionRay;\n\n\t\t// Project refracted vector on the framebuffer, while mapping to normalized device coordinates.\n\t\tvec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );\n\t\tvec2 refractionCoords = ndcPos.xy / ndcPos.w;\n\t\trefractionCoords += 1.0;\n\t\trefractionCoords /= 2.0;\n\n\t\t// Sample framebuffer to get pixel the refracted ray hits.\n\t\tvec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior );\n\n\t\tvec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance );\n\t\tvec3 attenuatedColor = transmittance * transmittedLight.rgb;\n\n\t\t// Get the specular component.\n\t\tvec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness );\n\n\t\t// As less light is transmitted, the opacity should be increased. This simple approximation does a decent job \n\t\t// of modulating a CSS background, and has no effect when the buffer is opaque, due to a solid object or clear color.\n\t\tfloat transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0;\n\n\t\treturn vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor );\n\n\t}\n#endif","#ifdef USE_TRANSMISSION\n\nmaterial.transmission = _transmission;\nmaterial.transmissionAlpha = 1.0;\nmaterial.thickness = thickness;\nmaterial.attenuationDistance = attenuationDistance;\nmaterial.attenuationColor = attenuationColor;\n\n#ifdef USE_TRANSMISSIONMAP\n\n\tmaterial.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r;\n\n#endif\n\n#ifdef USE_THICKNESSMAP\n\n\tmaterial.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g;\n\n#endif\n\nvec3 pos = vWorldPosition;\n\nvec3 v = normalize( cameraPosition - pos );\nvec3 n = inverseTransformDirection( normal, viewMatrix );\n\nvec4 transmitted = getIBLVolumeRefraction(\n\tn, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,\n\tpos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness,\n\tmaterial.attenuationColor, material.attenuationDistance );\n\nmaterial.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission );\n\n// Custom from here\nfloat runningSeed = 0.0;\nvec3 transmission = vec3(0.0);\nfloat transmissionR, transmissionB, transmissionG;\nfloat randomCoords = rand(runningSeed++);\nfloat thickness_smear = thickness * max(pow(roughnessFactor, 0.33), uAnisotropicBlur);\nvec3 distortionNormal = vec3(0.0);\nvec3 temporalOffset = vec3(uTime, -uTime, -uTime) * uTemporalDistortion;\n\nif (uDistortion > 0.0) {\n\tdistortionNormal = uDistortion * vec3(snoiseFractal(vec3((pos * uDistortionScale + temporalOffset))), snoiseFractal(vec3(pos.zxy * uDistortionScale - temporalOffset)), snoiseFractal(vec3(pos.yxz * uDistortionScale + temporalOffset)));\n}\n\nfor (float i = 0.0; i < uRefractionSamples; i ++) {\n\tvec3 sampleNorm = normalize(n + roughnessFactor * roughnessFactor * 2.0 * normalize(vec3(rand(runningSeed++) - 0.5, rand(runningSeed++) - 0.5, rand(runningSeed++) - 0.5)) * pow(rand(runningSeed++), 0.33) + distortionNormal);\n\t\n\ttransmissionR = getIBLVolumeRefraction(\n\t\tsampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,\n\t\tpos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples,\n\t\tmaterial.attenuationColor, material.attenuationDistance\n\t).r;\n\ttransmissionG = getIBLVolumeRefraction(\n\t\tsampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,\n\t\tpos, modelMatrix, viewMatrix, projectionMatrix, material.ior * (1.0 + uChromaticAberration * (i + randomCoords) / uRefractionSamples) , material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples,\n\t\tmaterial.attenuationColor, material.attenuationDistance\n\t).g;\n\ttransmissionB = getIBLVolumeRefraction(\n\t\tsampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,\n\t\tpos, modelMatrix, viewMatrix, projectionMatrix, material.ior * (1.0 + 2.0 * uChromaticAberration * (i + randomCoords) / uRefractionSamples), material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples,\n\t\tmaterial.attenuationColor, material.attenuationDistance\n\t).b;\n\ttransmission.r += transmissionR;\n\ttransmission.g += transmissionG;\n\ttransmission.b += transmissionB;\n}\n\ntransmission /= uRefractionSamples;\n// to here\n\ntotalDiffuse = mix( totalDiffuse, transmission.rgb, material.transmission );\n\n#endif","import * as THREE from \"three\";\nimport transmission_pars_fragment from \"../shaders/transmission_pars_fragment.glsl\";\nimport transmission_fragment from \"../shaders/transmission_fragment.glsl\";\n\nexport const resolveEachMaterial = ({\n mat,\n isCustomTransmission,\n parameters,\n}: {\n mat: THREE.Material;\n isCustomTransmission: boolean;\n parameters: THREE.WebGLProgramParametersWithUniforms;\n}) => {\n // custom transmission\n if (mat.type === \"MeshPhysicalMaterial\" && isCustomTransmission) {\n parameters.fragmentShader = parameters.fragmentShader.replace(\n \"#include <transmission_pars_fragment>\",\n `${transmission_pars_fragment}`\n );\n\n parameters.fragmentShader = parameters.fragmentShader.replace(\n \"#include <transmission_fragment>\",\n `${transmission_fragment}`\n );\n }\n\n // if normalMap is defined, don't add tangent attribute\n if (!(mat as any).normalMap) {\n parameters.vertexShader = parameters.vertexShader.replace(\n \"void main() {\",\n `\n\t\t\t\tattribute vec4 tangent;\n\t\t\t\t\n\t\t\t\tvoid main() {\n\t\t\t`\n );\n }\n};\n","import * as THREE from \"three\";\nimport { useEffect, useMemo } from \"react\";\nimport { WOBBLE3D_PARAMS } from \".\";\nimport { MaterialProps, OnBeforeInitParameters } from \"../../types\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\nimport { rewriteVertexShader } from \"./utils/rewriteVertexShader\";\nimport { rewriteFragmentShader } from \"./utils/rewriteFragmentShader\";\nimport { resolveEachMaterial } from \"./utils/resolveEachMaterial\";\n\nexport class Wobble3DMaterial extends THREE.Material {\n uniforms!: {\n uTime: { value: number };\n uWobblePositionFrequency: { value: number };\n uWobbleTimeFrequency: { value: number };\n uWobbleStrength: { value: number };\n uWarpPositionFrequency: { value: number };\n uWarpTimeFrequency: { value: number };\n uWarpStrength: { value: number };\n uColor0: { value: THREE.Color };\n uColor1: { value: THREE.Color };\n uColor2: { value: THREE.Color };\n uColor3: { value: THREE.Color };\n uColorMix: { value: number };\n uEdgeThreshold: { value: number };\n uEdgeColor: { value: THREE.Color };\n uChromaticAberration: { value: number };\n uAnisotropicBlur: { value: number };\n uDistortion: { value: number };\n uDistortionScale: { value: number };\n uTemporalDistortion: { value: number };\n uRefractionSamples: { value: number };\n };\n}\n\nexport type WobbleMaterialConstructor = new (opts: {\n [key: string]: any;\n}) => THREE.Material;\n\ntype WobbleMaterialParams<T extends WobbleMaterialConstructor> =\n ConstructorParameters<T>[0];\n\nexport interface WobbleMaterialProps<T extends WobbleMaterialConstructor>\n extends MaterialProps {\n /** default:THREE.MeshPhysicalMaterial */\n baseMaterial?: T;\n materialParameters?: WobbleMaterialParams<T>;\n depthOnBeforeInit?: (parameters: OnBeforeInitParameters) => void;\n /**\n * Whether to apply more advanced `transmission` or not. valid only for `MeshPhysicalMaterial`. This is a function referring to `drei/MeshTransmissionMaterial`, default : `false`\n * @link https://github.com/pmndrs/drei?tab=readme-ov-file#meshtransmissionmaterial\n * */\n isCustomTransmission?: boolean;\n /** Whether to initialise `MeshDepthMaterial` or not , default : `false` */\n depth?: boolean;\n}\n\nexport const useMaterial = <T extends WobbleMaterialConstructor>({\n baseMaterial,\n materialParameters,\n isCustomTransmission = false,\n onBeforeInit,\n depthOnBeforeInit,\n depth = false,\n}: WobbleMaterialProps<T>) => {\n const { material, depthMaterial } = useMemo(() => {\n const mat = new (baseMaterial || THREE.MeshPhysicalMaterial)(\n materialParameters || {}\n );\n\n Object.assign(mat.userData, {\n uniforms: {\n uTime: { value: 0 },\n uWobblePositionFrequency: {\n value: WOBBLE3D_PARAMS.wobblePositionFrequency,\n },\n uWobbleTimeFrequency: {\n value: WOBBLE3D_PARAMS.wobbleTimeFrequency,\n },\n uWobbleStrength: { value: WOBBLE3D_PARAMS.wobbleStrength },\n uWarpPositionFrequency: {\n value: WOBBLE3D_PARAMS.warpPositionFrequency,\n },\n uWarpTimeFrequency: { value: WOBBLE3D_PARAMS.warpTimeFrequency },\n uWarpStrength: { value: WOBBLE3D_PARAMS.warpStrength },\n uColor0: { value: WOBBLE3D_PARAMS.color0 },\n uColor1: { value: WOBBLE3D_PARAMS.color1 },\n uColor2: { value: WOBBLE3D_PARAMS.color2 },\n uColor3: { value: WOBBLE3D_PARAMS.color3 },\n uColorMix: { value: WOBBLE3D_PARAMS.colorMix },\n uEdgeThreshold: { value: WOBBLE3D_PARAMS.edgeThreshold },\n uEdgeColor: { value: WOBBLE3D_PARAMS.edgeColor },\n uChromaticAberration: {\n value: WOBBLE3D_PARAMS.chromaticAberration,\n },\n uAnisotropicBlur: { value: WOBBLE3D_PARAMS.anisotropicBlur },\n uDistortion: { value: WOBBLE3D_PARAMS.distortion },\n uDistortionScale: { value: WOBBLE3D_PARAMS.distortionScale },\n uTemporalDistortion: { value: WOBBLE3D_PARAMS.temporalDistortion },\n uRefractionSamples: { value: WOBBLE3D_PARAMS.refractionSamples },\n transmission: { value: 0 },\n _transmission: { value: 1 },\n transmissionMap: { value: null },\n },\n });\n\n mat.onBeforeCompile = (parameters) => {\n rewriteVertexShader(parameters);\n\n rewriteFragmentShader(parameters);\n\n resolveEachMaterial({\n parameters,\n mat,\n isCustomTransmission,\n });\n\n const cutomizedParams = createMaterialParameters(\n {\n fragmentShader: parameters.fragmentShader,\n vertexShader: parameters.vertexShader,\n // Because wobble3D uses userData to update uniforms.\n uniforms: mat.userData.uniforms,\n },\n onBeforeInit\n );\n parameters.fragmentShader = cutomizedParams.fragmentShader;\n parameters.vertexShader = cutomizedParams.vertexShader;\n Object.assign(parameters.uniforms, cutomizedParams.uniforms);\n };\n mat.needsUpdate = true;\n\n /*===============================================\n\t\tdepthMaterial\n\t\t===============================================*/\n let depthMat = null;\n if (depth) {\n depthMat = new THREE.MeshDepthMaterial({\n depthPacking: THREE.RGBADepthPacking,\n });\n depthMat.onBeforeCompile = (parameters) => {\n Object.assign(parameters.uniforms, mat.userData.uniforms);\n rewriteVertexShader(parameters);\n createMaterialParameters(parameters, depthOnBeforeInit);\n };\n depthMat.needsUpdate = true;\n }\n\n return { material: mat, depthMaterial: depthMat };\n }, [\n materialParameters,\n baseMaterial,\n onBeforeInit,\n depthOnBeforeInit,\n isCustomTransmission,\n depth,\n ]);\n\n // Only the depthMaterial is disposed of because the material is disposed of by useAddObject.\n useEffect(() => {\n return () => {\n if (depthMaterial) depthMaterial.dispose();\n };\n }, [depthMaterial]);\n\n return {\n material: material as Wobble3DMaterial,\n depthMaterial,\n };\n};\n","import * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport { mergeVertices } from \"three-stdlib\";\nimport {\n useMaterial,\n Wobble3DMaterial,\n WobbleMaterialProps,\n WobbleMaterialConstructor,\n} from \"./useMaterial\";\nimport { Wobble3DParams } from \".\";\nimport {\n setUniform,\n setCustomUniform,\n CustomParams,\n} from \"../../../utils/setUniforms\";\nimport { useCallback, useMemo } from \"react\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { Create3DHooksProps } from \"../types\";\n\nexport type UseCreateWobble3DProps = {\n /** default : `THREE.IcosahedronGeometry(2,20)` */\n geometry?: THREE.BufferGeometry;\n};\n\ntype UpdateUniform = (\n rootState: RootState | null,\n newParams?: Wobble3DParams,\n customParams?: CustomParams\n) => void;\n\ntype UseCreateWobble3DReturn<T> = [\n UpdateUniform,\n {\n mesh: THREE.Mesh;\n depthMaterial: THREE.MeshDepthMaterial | null;\n }\n];\n\nexport const useCreateWobble3D = <T extends WobbleMaterialConstructor>({\n scene = false,\n geometry,\n isCustomTransmission,\n baseMaterial,\n materialParameters,\n depth,\n onBeforeInit,\n depthOnBeforeInit,\n}: UseCreateWobble3DProps &\n Create3DHooksProps &\n WobbleMaterialProps<T>): UseCreateWobble3DReturn<T> => {\n const wobbleGeometry = useMemo(() => {\n let geo = geometry || new THREE.IcosahedronGeometry(2, 20);\n geo = mergeVertices(geo);\n geo.computeTangents();\n return geo;\n }, [geometry]);\n const { material, depthMaterial } = useMaterial({\n baseMaterial,\n materialParameters,\n isCustomTransmission,\n onBeforeInit,\n depthOnBeforeInit,\n depth,\n });\n\n const mesh = useAddObject(scene, wobbleGeometry, material, THREE.Mesh);\n\n const userData = material.userData as Wobble3DMaterial;\n\n const updateValue = setUniform(userData);\n const updateCustomValue = setCustomUniform(userData);\n\n const updateUniform = useCallback<UpdateUniform>(\n (rootState, newParams, customParams) => {\n if (rootState) {\n updateValue(\n \"uTime\",\n newParams?.beat || rootState.clock.getElapsedTime()\n );\n }\n if (newParams === undefined) {\n return;\n }\n updateValue(\"uWobbleStrength\", newParams.wobbleStrength);\n updateValue(\n \"uWobblePositionFrequency\",\n newParams.wobblePositionFrequency\n );\n updateValue(\"uWobbleTimeFrequency\", newParams.wobbleTimeFrequency);\n updateValue(\"uWarpStrength\", newParams.warpStrength);\n updateValue(\"uWarpPositionFrequency\", newParams.warpPositionFrequency);\n updateValue(\"uWarpTimeFrequency\", newParams.warpTimeFrequency);\n updateValue(\"uColor0\", newParams.color0);\n updateValue(\"uColor1\", newParams.color1);\n updateValue(\"uColor2\", newParams.color2);\n updateValue(\"uColor3\", newParams.color3);\n updateValue(\"uColorMix\", newParams.colorMix);\n updateValue(\"uEdgeThreshold\", newParams.edgeThreshold);\n updateValue(\"uEdgeColor\", newParams.edgeColor);\n updateValue(\"uChromaticAberration\", newParams.chromaticAberration);\n updateValue(\"uAnisotropicBlur\", newParams.anisotropicBlur);\n updateValue(\"uDistortion\", newParams.distortion);\n updateValue(\"uDistortionScale\", newParams.distortionScale);\n updateValue(\"uRefractionSamples\", newParams.refractionSamples);\n updateValue(\"uTemporalDistortion\", newParams.temporalDistortion);\n\n updateCustomValue(customParams);\n },\n [updateValue, updateCustomValue]\n );\n\n return [\n updateUniform,\n {\n mesh,\n depthMaterial,\n },\n ];\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo } from \"react\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport { HooksReturn } from \"../../types\";\nimport { useCreateWobble3D, UseCreateWobble3DProps } from \"./useCreateWobble3D\";\nimport { WobbleMaterialProps, WobbleMaterialConstructor } from \"./useMaterial\";\nimport { HooksProps3D } from \"../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { CustomParams } from \"../../../utils/setUniforms\";\n\nexport type Wobble3DParams = {\n /** default : `0.3` */\n wobbleStrength?: number;\n /** default : `0.3` */\n wobblePositionFrequency?: number;\n /** default : `0.3` */\n wobbleTimeFrequency?: number;\n /** default : `0.3` */\n warpStrength?: number;\n /** default : `0.3` */\n warpPositionFrequency?: number;\n /** default : `0.3` */\n warpTimeFrequency?: number;\n color0?: THREE.Color;\n color1?: THREE.Color;\n color2?: THREE.Color;\n color3?: THREE.Color;\n /** Mixing ratio with the material's original output color, 0~1 , defaulat : `1` */\n colorMix?: number;\n /** Threshold of edge. 0 for edge disabled, default : `0` */\n edgeThreshold?: number;\n /** Color of edge. default : `0x000000` */\n edgeColor?: THREE.Color;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */\n chromaticAberration?: number;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */\n anisotropicBlur?: number;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.0` */\n distortion?: number;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */\n distortionScale?: number;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.0` */\n temporalDistortion?: number;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `6` */\n refractionSamples?: number;\n};\n\nexport type Wobble3DObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n depthMaterial: THREE.MeshDepthMaterial | null;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const WOBBLE3D_PARAMS: Wobble3DParams = Object.freeze({\n wobbleStrength: 0.3,\n wobblePositionFrequency: 0.3,\n wobbleTimeFrequency: 0.3,\n warpStrength: 0.3,\n warpPositionFrequency: 0.3,\n warpTimeFrequency: 0.3,\n color0: new THREE.Color(0xff0000),\n color1: new THREE.Color(0x00ff00),\n color2: new THREE.Color(0x0000ff),\n color3: new THREE.Color(0xffff00),\n colorMix: 1,\n edgeThreshold: 0.0,\n edgeColor: new THREE.Color(0x000000),\n chromaticAberration: 0.1,\n anisotropicBlur: 0.1,\n distortion: 0.0,\n distortionScale: 0.1,\n temporalDistortion: 0.0,\n refractionSamples: 6,\n beat: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx\n */\nexport const useWobble3D = <T extends WobbleMaterialConstructor>({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n camera,\n geometry,\n baseMaterial,\n materialParameters,\n isCustomTransmission,\n onBeforeInit,\n depthOnBeforeInit,\n depth,\n}: HooksProps3D & UseCreateWobble3DProps & WobbleMaterialProps<T>): HooksReturn<\n Wobble3DParams,\n Wobble3DObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n\n const [updateUniform, { mesh, depthMaterial }] = useCreateWobble3D({\n baseMaterial,\n materialParameters,\n scene,\n geometry,\n isCustomTransmission,\n onBeforeInit,\n depthOnBeforeInit,\n depth,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n depthBuffer: true,\n ...renderTargetOptions,\n });\n\n const updateFx = useCallback(\n (\n RootState: RootState,\n newParams?: Wobble3DParams,\n customParams?: CustomParams\n ) => {\n updateUniform(RootState, newParams, customParams);\n return updateRenderTarget(RootState.gl);\n },\n [updateRenderTarget, updateUniform]\n );\n\n const updateParams = useCallback(\n (newParams?: Wobble3DParams, customParams?: CustomParams) => {\n updateUniform(null, newParams, customParams);\n },\n [updateUniform]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene,\n mesh,\n depthMaterial,\n renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","import * as THREE from \"three\";\nimport { useEffect, useMemo } from \"react\";\n\n/** Generate mesh from geometry and material and add to scene */\nexport const useAddMesh = (\n scene: THREE.Scene,\n geometry: THREE.BufferGeometry,\n material: THREE.Material\n) => {\n const mesh = useMemo(() => {\n const mesh = new THREE.Mesh(geometry, material);\n scene.add(mesh);\n return mesh;\n }, [geometry, material, scene]);\n\n useEffect(() => {\n return () => {\n scene.remove(mesh);\n geometry.dispose();\n material.dispose();\n };\n }, [scene, geometry, material, mesh]);\n\n return mesh;\n};\n","import { useMemo, useRef } from \"react\";\nimport { Size } from \"../fxs/types\";\n\nconst checkUpdate = (\n currentW: number,\n currentH: number,\n memoW: number,\n memoH: number,\n threshold: number,\n boundFor: \"smaller\" | \"larger\" | \"both\"\n) => {\n const isSmaller =\n currentW < memoW - threshold || currentH < memoH - threshold;\n const isLarger =\n currentW > memoW + threshold || currentH > memoH + threshold;\n\n return (\n (boundFor === \"smaller\" && isSmaller) ||\n (boundFor === \"larger\" && isLarger) ||\n (boundFor === \"both\" && (isSmaller || isLarger))\n );\n};\n\nexport const useResizeBoundary = ({\n size,\n boundFor,\n threshold,\n}: {\n size: Size;\n boundFor: \"smaller\" | \"larger\" | \"both\";\n threshold: number;\n}) => {\n const memorizedSize = useRef<Size>(size);\n\n const isBeyondBoundary = useMemo<boolean>(() => {\n const { width: currentW, height: currentH } = size;\n const { width: memoW, height: memoH } = memorizedSize.current;\n\n const isUpdate = checkUpdate(\n currentW,\n currentH,\n memoW,\n memoH,\n threshold,\n boundFor\n );\n\n if (isUpdate) {\n memorizedSize.current = size;\n }\n return isUpdate;\n }, [size, boundFor, threshold]);\n\n return isBeyondBoundary;\n};\n","export type EasingTypes =\n | \"easeInSine\"\n | \"easeOutSine\"\n | \"easeInOutSine\"\n | \"easeInQuad\"\n | \"easeOutQuad\"\n | \"easeInOutQuad\"\n | \"easeInCubic\"\n | \"easeOutCubic\"\n | \"easeInOutCubic\"\n | \"easeInQuart\"\n | \"easeOutQuart\"\n | \"easeInOutQuart\"\n | \"easeInQuint\"\n | \"easeOutQuint\"\n | \"easeInOutQuint\"\n | \"easeInExpo\"\n | \"easeOutExpo\"\n | \"easeInOutExpo\"\n | \"easeInCirc\"\n | \"easeOutCirc\"\n | \"easeInOutCirc\"\n | \"easeInBack\"\n | \"easeOutBack\"\n | \"easeInOutBack\"\n | \"easeInElastic\"\n | \"easeOutElastic\"\n | \"easeInOutElastic\"\n | \"easeInBounce\"\n | \"easeOutBounce\"\n | \"easeInOutBounce\";\n\ntype EasingFunctions = {\n [K in EasingTypes]: (x: number) => number;\n};\n\n/**\n * from https://github.com/ai/easings.net\n */\nexport const Easing: EasingFunctions = Object.freeze({\n easeInSine(x: number): number {\n return 1 - Math.cos((x * Math.PI) / 2);\n },\n easeOutSine(x: number): number {\n return Math.sin((x * Math.PI) / 2);\n },\n easeInOutSine(x: number): number {\n return -(Math.cos(Math.PI * x) - 1) / 2;\n },\n easeInQuad(x: number): number {\n return x * x;\n },\n easeOutQuad(x: number): number {\n return 1 - (1 - x) * (1 - x);\n },\n easeInOutQuad(x: number): number {\n return x < 0.5 ? 2 * x * x : 1 - Math.pow(-2 * x + 2, 2) / 2;\n },\n easeInCubic(x: number): number {\n return x * x * x;\n },\n easeOutCubic(x: number): number {\n return 1 - Math.pow(1 - x, 3);\n },\n easeInOutCubic(x: number): number {\n return x < 0.5 ? 4 * x * x * x : 1 - Math.pow(-2 * x + 2, 3) / 2;\n },\n easeInQuart(x: number): number {\n return x * x * x * x;\n },\n easeOutQuart(x: number): number {\n return 1 - Math.pow(1 - x, 4);\n },\n easeInOutQuart(x: number): number {\n return x < 0.5 ? 8 * x * x * x * x : 1 - Math.pow(-2 * x + 2, 4) / 2;\n },\n easeInQuint(x: number): number {\n return x * x * x * x * x;\n },\n easeOutQuint(x: number): number {\n return 1 - Math.pow(1 - x, 5);\n },\n easeInOutQuint(x: number): number {\n return x < 0.5 ? 16 * x * x * x * x * x : 1 - Math.pow(-2 * x + 2, 5) / 2;\n },\n easeInExpo(x: number): number {\n return x === 0 ? 0 : Math.pow(2, 10 * x - 10);\n },\n easeOutExpo(x: number): number {\n return x === 1 ? 1 : 1 - Math.pow(2, -10 * x);\n },\n easeInOutExpo(x: number): number {\n return x === 0\n ? 0\n : x === 1\n ? 1\n : x < 0.5\n ? Math.pow(2, 20 * x - 10) / 2\n : (2 - Math.pow(2, -20 * x + 10)) / 2;\n },\n easeInCirc(x: number): number {\n return 1 - Math.sqrt(1 - Math.pow(x, 2));\n },\n easeOutCirc(x: number): number {\n return Math.sqrt(1 - Math.pow(x - 1, 2));\n },\n easeInOutCirc(x: number): number {\n return x < 0.5\n ? (1 - Math.sqrt(1 - Math.pow(2 * x, 2))) / 2\n : (Math.sqrt(1 - Math.pow(-2 * x + 2, 2)) + 1) / 2;\n },\n easeInBack(x: number): number {\n const c1 = 1.70158;\n const c3 = c1 + 1;\n\n return c3 * x * x * x - c1 * x * x;\n },\n easeOutBack(x: number): number {\n const c1 = 1.70158;\n const c3 = c1 + 1;\n\n return 1 + c3 * Math.pow(x - 1, 3) + c1 * Math.pow(x - 1, 2);\n },\n easeInOutBack(x: number): number {\n const c1 = 1.70158;\n const c2 = c1 * 1.525;\n\n return x < 0.5\n ? (Math.pow(2 * x, 2) * ((c2 + 1) * 2 * x - c2)) / 2\n : (Math.pow(2 * x - 2, 2) * ((c2 + 1) * (x * 2 - 2) + c2) + 2) / 2;\n },\n easeInElastic(x: number): number {\n const c4 = (2 * Math.PI) / 3;\n\n return x === 0\n ? 0\n : x === 1\n ? 1\n : -Math.pow(2, 10 * x - 10) * Math.sin((x * 10 - 10.75) * c4);\n },\n easeOutElastic(x: number): number {\n const c4 = (2 * Math.PI) / 3;\n\n return x === 0\n ? 0\n : x === 1\n ? 1\n : Math.pow(2, -10 * x) * Math.sin((x * 10 - 0.75) * c4) + 1;\n },\n easeInOutElastic(x: number): number {\n const c5 = (2 * Math.PI) / 4.5;\n\n return x === 0\n ? 0\n : x === 1\n ? 1\n : x < 0.5\n ? -(Math.pow(2, 20 * x - 10) * Math.sin((20 * x - 11.125) * c5)) / 2\n : (Math.pow(2, -20 * x + 10) * Math.sin((20 * x - 11.125) * c5)) / 2 +\n 1;\n },\n easeInBounce(x: number): number {\n return 1 - Easing.easeOutBounce(1 - x);\n },\n easeOutBounce(x: number): number {\n const n1 = 7.5625;\n const d1 = 2.75;\n\n if (x < 1 / d1) {\n return n1 * x * x;\n } else if (x < 2 / d1) {\n return n1 * (x -= 1.5 / d1) * x + 0.75;\n } else if (x < 2.5 / d1) {\n return n1 * (x -= 2.25 / d1) * x + 0.9375;\n } else {\n return n1 * (x -= 2.625 / d1) * x + 0.984375;\n }\n },\n easeInOutBounce(x: number): number {\n return x < 0.5\n ? (1 - Easing.easeOutBounce(1 - 2 * x)) / 2\n : (1 + Easing.easeOutBounce(2 * x - 1)) / 2;\n },\n});\n","import * as THREE from \"three\";\nimport { Easing, EasingTypes } from \"../libs/Easings\";\nimport { useCallback } from \"react\";\n\n/** Returns a unique hash specific to the beat */\nfunction getHash(input: number) {\n let n = Math.sin(input * 12.9898) * 43758.5453;\n return n - Math.floor(n);\n}\n\ntype BeatValues = {\n beat: number;\n floor: number;\n fract: number;\n /** unique hash specific to the beat */\n hash: number;\n};\n\n/**\n * @param ease easing functions are referenced from https://github.com/ai/easings.net , default : \"easeOutQuart\"\n */\nexport const useBeat = (bpm: number, ease: EasingTypes = \"easeOutQuart\") => {\n const rhythm = bpm / 60;\n const easing = Easing[ease];\n const updateBeat = useCallback(\n (clock: THREE.Clock) => {\n let beat = clock.getElapsedTime() * rhythm;\n const floor = Math.floor(beat);\n const fract = easing(beat - floor);\n beat = fract + floor;\n const hash = getHash(floor);\n return {\n beat,\n floor,\n fract,\n hash,\n } as BeatValues;\n },\n [rhythm, easing]\n );\n return updateBeat;\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo, useRef } from \"react\";\n\n/**\n * @param fps FPS you want to limit , default : `60`\n *\n * ```tsx\n * const limiter = useFPSLimiter(fps);\n * useFrame((props) => {\n * if (limiter(props.clock)) {\n *\t\t //some code\n * }\n * });\n * ```\n */\nexport const useFPSLimiter = (fps: number = 60) => {\n const interval = useMemo(() => 1 / Math.max(Math.min(fps, 60), 1), [fps]);\n const prevTime = useRef<number | null>(null);\n\n const limiter = useCallback(\n (clock: THREE.Clock) => {\n const tick = clock.getElapsedTime();\n if (prevTime.current === null) {\n prevTime.current = tick;\n return true;\n }\n const deltaTime = tick - prevTime.current;\n if (deltaTime >= interval) {\n prevTime.current = tick;\n return true;\n }\n return false;\n },\n [interval]\n );\n\n return limiter;\n};\n","import { DomSyncerParams } from \"..\";\n\nexport const errorHandler = (params: DomSyncerParams) => {\n const domLength = params.dom?.length;\n const textureLength = params.texture?.length;\n\n if (!domLength || !textureLength) {\n return true;\n }\n\n if (domLength !== textureLength) {\n return true;\n }\n\n return false;\n};\n","varying vec2 vUv;\n\nvoid main() {\n\tvUv = uv;\n\tgl_Position = projectionMatrix * viewMatrix * modelMatrix * vec4(position, 1.0);\n}","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D u_texture;\nuniform vec2 u_textureResolution;\nuniform vec2 u_resolution;\nuniform float u_borderRadius;\n\nvoid main() {\n\t// texuture color\n\tfloat screenAspect = u_resolution.x / u_resolution.y;\n\tfloat textureAspect = u_textureResolution.x / u_textureResolution.y;\n\tvec2 ratio = vec2(\n\t\tmin(screenAspect / textureAspect, 1.0),\n\t\tmin(textureAspect / screenAspect, 1.0)\n\t);\n\n\tvec2 adjustedUv = vUv * ratio + (1.0 - ratio) * 0.5;\n\tvec3 textureColor = texture2D(u_texture, adjustedUv).rgb;\n\tfloat textureAlpha = texture2D(u_texture, adjustedUv).a;\n\n\t// Based on https://mofu-dev.com/en/blog/three-dom-alignment/\n\tfloat maxSide = max(u_resolution.x, u_resolution.y);\n\tfloat minSide = min(u_resolution.x, u_resolution.y);\n\tvec2 aspect = u_resolution / maxSide;\n\tvec2 alphaUv = vUv - 0.5;\n\n\tfloat borderRadius = min(u_borderRadius, minSide * 0.5);\n\tvec2 offset = vec2(borderRadius) / u_resolution;\n\tvec2 alphaXY = smoothstep(vec2(0.5 - offset), vec2(0.5 - offset - 0.001), abs(alphaUv));\n\tfloat alpha = min(1.0, alphaXY.x + alphaXY.y);\n\n\tvec2 alphaUv2 = abs(vUv - 0.5);\n\tfloat radius = borderRadius / maxSide;\n\talphaUv2 = (alphaUv2 - 0.5) * aspect + radius;\n\tfloat roundAlpha = smoothstep(radius + 0.001, radius, length(alphaUv2));\n\n\talpha = min(1.0, alpha + roundAlpha);\n\n\t// multiply texture alpha\n\talpha *= textureAlpha;\n\n\tgl_FragColor = vec4(textureColor, alpha);\n}\n","import * as THREE from \"three\";\nimport { DomSyncerParams } from \"../\";\nimport vertexShader from \"../shader/main.vert\";\nimport fragmentShader from \"../shader/main.frag\";\nimport { MaterialProps, Size } from \"../../../fxs/types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class DomSyncerMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n u_textureResolution: { value: THREE.Vector2 };\n u_resolution: { value: THREE.Vector2 };\n u_borderRadius: { value: number };\n };\n}\n\nexport const createMesh = ({\n params,\n scene,\n onBeforeInit,\n}: {\n params: DomSyncerParams;\n size: Size;\n scene: THREE.Scene;\n} & MaterialProps) => {\n if (scene.children.length > 0) {\n scene.children.forEach((child) => {\n if (child instanceof THREE.Mesh) {\n child.geometry.dispose();\n child.material.dispose();\n }\n });\n scene.remove(...scene.children);\n }\n\n params.texture!.forEach((texture, i) => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: texture },\n u_textureResolution: {\n value: new THREE.Vector2(0, 0),\n },\n u_resolution: { value: new THREE.Vector2(0, 0) },\n u_borderRadius: {\n value: params.boderRadius![i]\n ? params.boderRadius![i]\n : 0.0,\n },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n // Must be transparent.\n transparent: true,\n });\n\n const mesh = new THREE.Mesh(new THREE.PlaneGeometry(1, 1), mat);\n scene.add(mesh);\n });\n};\n","import { useCallback, useRef } from \"react\";\nimport { DomSyncerParams } from \"..\";\n\nexport const useIntersectionHandler = () => {\n const intersectionObserverRef = useRef<IntersectionObserver[]>([]);\n const intersectionDomRef = useRef<(HTMLElement | Element | null)[]>([]);\n\n const intersectionHandler = useCallback(\n ({\n isIntersectingRef,\n isIntersectingOnceRef,\n params,\n }: {\n isIntersectingRef: React.MutableRefObject<boolean[]>;\n isIntersectingOnceRef: React.MutableRefObject<boolean[]>;\n params: DomSyncerParams;\n }) => {\n if (intersectionObserverRef.current.length > 0) {\n intersectionObserverRef.current.forEach((observer, i) => {\n observer.unobserve(intersectionDomRef.current[i]!);\n });\n }\n\n intersectionDomRef.current = [];\n intersectionObserverRef.current = [];\n\n const newArr = new Array(params.dom!.length).fill(false);\n isIntersectingRef.current = [...newArr];\n isIntersectingOnceRef.current = [...newArr];\n\n params.dom!.forEach((dom, i) => {\n const callback = (entries: IntersectionObserverEntry[]) => {\n entries.forEach((entry) => {\n params.onIntersect![i] && params.onIntersect![i](entry);\n // Update the judgment after execution so that the judgment of isIntersectin can be used when executing onIntersect\n isIntersectingRef.current[i] = entry.isIntersecting;\n });\n };\n const observer = new IntersectionObserver(callback, {\n rootMargin: \"0px\",\n threshold: 0,\n });\n observer.observe(dom!);\n intersectionObserverRef.current.push(observer);\n intersectionDomRef.current.push(dom!);\n });\n },\n []\n );\n\n return intersectionHandler;\n};\n","import * as THREE from \"three\";\nimport { DomSyncerParams } from \"..\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { DomSyncerMaterial } from \"./createMesh\";\nimport { useCallback, useRef } from \"react\";\nimport { Size } from \"../../../fxs/types\";\n\ntype UpdateDomRect = ({\n params,\n customParams,\n size,\n resolutionRef,\n scene,\n isIntersectingRef,\n}: {\n params: DomSyncerParams;\n customParams?: CustomParams;\n size: Size;\n resolutionRef: React.MutableRefObject<THREE.Vector2>;\n scene: THREE.Scene;\n isIntersectingRef: React.MutableRefObject<boolean[]>;\n}) => void;\n\ntype UseUpdateDomRectReturn = [DOMRect[], UpdateDomRect];\n\nexport const useUpdateDomRect = (): UseUpdateDomRectReturn => {\n const domRects = useRef<DOMRect[]>([]);\n\n const updateDomRects: UpdateDomRect = useCallback(\n ({\n params,\n customParams,\n size,\n resolutionRef,\n scene,\n isIntersectingRef,\n }) => {\n // Initialize domRects if the number of children in the scene is different from the number of DOMRect\n if (scene.children.length !== domRects.current!.length) {\n domRects.current = new Array(scene.children.length);\n }\n\n scene.children.forEach((mesh, i) => {\n const domElement = params.dom![i];\n if (!domElement) {\n return;\n }\n\n // DOMRect is updated even outside the intersection\n const rect = domElement.getBoundingClientRect();\n domRects.current[i] = rect;\n\n // Intersection cannot be determined accurately depending on the mobile navigation bar, so it seems better to update it constantly\n mesh.scale.set(rect.width, rect.height, 1.0);\n mesh.position.set(\n rect.left + rect.width * 0.5 - size.width * 0.5,\n -rect.top - rect.height * 0.5 + size.height * 0.5,\n 0.0\n );\n\n if (isIntersectingRef.current[i]) {\n if (params.rotation![i]) {\n mesh.rotation.copy(params.rotation![i]);\n }\n\n if (mesh instanceof THREE.Mesh) {\n const material: DomSyncerMaterial = mesh.material;\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n updateValue(\"u_texture\", params.texture![i]);\n updateValue(\"u_textureResolution\", [\n params.texture![i]?.source?.data?.width || 0,\n params.texture![i]?.source?.data?.height || 0,\n ]);\n updateValue(\n \"u_resolution\",\n resolutionRef.current.set(rect.width, rect.height)\n );\n updateValue(\n \"u_borderRadius\",\n params.boderRadius![i] ? params.boderRadius![i] : 0.0\n );\n updateCustomValue(customParams);\n }\n }\n });\n },\n []\n );\n\n return [domRects.current, updateDomRects];\n};\n","import { useCallback, useRef } from \"react\";\n\nexport type IsIntersecting = (\n index: number,\n once?: boolean\n) => boolean[] | boolean;\n\nexport const useIsIntersecting = () => {\n const isIntersectingRef = useRef<boolean[]>([]);\n const isIntersectingOnceRef = useRef<boolean[]>([]);\n\n const isIntersecting: IsIntersecting = useCallback((index, once = false) => {\n isIntersectingRef.current.forEach((value, i) => {\n if (value) {\n isIntersectingOnceRef.current[i] = true;\n }\n });\n const temp = once\n ? [...isIntersectingOnceRef.current]\n : [...isIntersectingRef.current];\n return index < 0 ? temp : temp[index];\n }, []);\n\n return {\n isIntersectingRef,\n isIntersectingOnceRef,\n isIntersecting,\n };\n};\n","import { useEffect, useRef } from \"react\";\n\nexport type UseDomViewProps = {\n onView?: () => void;\n onHidden?: () => void;\n};\n\nexport type UseDomView = (props: UseDomViewProps) => void;\n\nexport const createUseDomView = (\n isIntersectingRef: React.MutableRefObject<boolean[]>\n): UseDomView => {\n const useDomView = ({ onView, onHidden }: UseDomViewProps) => {\n const isView = useRef<boolean>(false);\n useEffect(() => {\n let id: number;\n const filterIntersection = () => {\n if (isIntersectingRef.current.some((item) => item)) {\n if (!isView.current) {\n onView && onView();\n isView.current = true;\n }\n } else {\n if (isView.current) {\n onHidden && onHidden();\n isView.current = false;\n }\n }\n id = requestAnimationFrame(filterIntersection);\n };\n id = requestAnimationFrame(filterIntersection);\n return () => {\n cancelAnimationFrame(id);\n };\n }, [onView, onHidden]);\n };\n return useDomView;\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo, useRef, useState, Key } from \"react\";\nimport { useCamera } from \"../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../utils/useSingleFBO\";\nimport { HooksProps, HooksReturn } from \"../../fxs/types\";\nimport { useParams } from \"../../utils/useParams\";\nimport { errorHandler } from \"./utils/errorHandler\";\nimport { createMesh } from \"./utils/createMesh\";\nimport { useIntersectionHandler } from \"./utils/useIntersectionHandler\";\nimport { useUpdateDomRect } from \"./utils/useUpdateDomRect\";\nimport { useIsIntersecting, IsIntersecting } from \"./utils/useIsIntersecting\";\nimport { UseDomView, createUseDomView } from \"./utils/createUseDomView\";\nimport { getDpr } from \"../../utils/getDpr\";\nimport { CustomParams } from \"../../utils/setUniforms\";\nimport { DEFAULT_TEXTURE } from \"../../libs/constants\";\n\nexport type DomSyncerParams = {\n /** DOM array you want to synchronize */\n dom?: (HTMLElement | Element | null)[];\n /** Texture array that you want to synchronize with the DOM rectangle */\n texture?: THREE.Texture[];\n /** default : `0.0[]` */\n boderRadius?: number[];\n /** the angle you want to rotate */\n rotation?: THREE.Euler[];\n /** Array of callback functions when crossed */\n onIntersect?: ((entry: IntersectionObserverEntry) => void)[];\n /** Because DOM rendering and React updates occur asynchronously, there may be a lag between updating dependent arrays and setting DOM arrays. That's what the Key is for. If the dependent array is updated but the Key is not, the loop will skip and return an empty texture. By updating the timing key when DOM acquisition is complete, you can perfectly synchronize DOM and Mesh updates.updateKey must be a unique value for each update, for example `performance.now()`.*/\n updateKey?: Key;\n};\n\nexport type DomSyncerObject = {\n scene: THREE.Scene;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n /**\n * A function that returns a determination whether the DOM intersects or not.\n * The boolean will be updated after executing the onIntersect function.\n * @param index - Index of the dom for which you want to return an intersection decision. -1 will return the entire array.\n * @param once - If set to true, it will continue to return true once crossed.\n */\n isIntersecting: IsIntersecting;\n /** target's DOMRect[] */\n DOMRects: DOMRect[];\n /** target's intersetions boolean[] */\n intersections: boolean[];\n /** You can set callbacks for when at least one DOM is visible and when it is completely hidden. */\n useDomView: UseDomView;\n};\n\nexport const DOMSYNCER_PARAMS: DomSyncerParams = {\n texture: [],\n dom: [],\n boderRadius: [],\n rotation: [],\n onIntersect: [],\n};\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usedomsyncer\n * @param dependencies - 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+{"version":3,"file":"use-shader-fx.js","sources":["../src/utils/getDpr.ts","../src/utils/useResolution.ts","../src/utils/useCamera.ts","../src/utils/useSingleFBO.ts","../src/utils/useDoubleFBO.ts","../src/utils/useSetup.ts","../src/utils/useMutableState.ts","../src/libs/constants.ts","../src/utils/warn.ts","../src/materials/core/BasicFxLib.ts","../src/shaders/ShaderLib/plane_vertex.glsl","../src/shaders/ShaderLib/default_vertex.glsl","../src/shaders/ShaderLib/default_pars_vertex.glsl","../src/shaders/ShaderLib/default_pars_fragment.glsl","../src/shaders/ShaderLib/basicFx_vertex.glsl","../src/shaders/ShaderLib/basicFx_pars_vertex.glsl","../src/shaders/ShaderLib/basicFx_pars_fragment.glsl","../src/shaders/ShaderLib/basicFx_fragment_begin.glsl","../src/shaders/ShaderLib/basicFx_fragment_end.glsl","../src/shaders/ShaderLib/samplingFx_vertex.glsl","../src/shaders/ShaderLib/samplingFx_pars_vertex.glsl","../src/shaders/ShaderLib/samplingFx_pars_fragment.glsl","../src/shaders/ShaderLib.ts","../src/materials/impl/noise/noise.glsl.ts","../src/shaders/ShaderChunk/plane_vertex.glsl","../src/shaders/ShaderChunk/srcSystem_pars_vertex.glsl","../src/shaders/ShaderChunk/srcSystem_pars_fragment.glsl","../src/shaders/ShaderChunk/default_vertex.glsl","../src/shaders/ShaderChunk/default_pars_vertex.glsl","../src/shaders/ShaderChunk/default_pars_fragment.glsl","../src/shaders/ShaderChunk/mixSrc_pars_vertex.glsl","../src/shaders/ShaderChunk/mixSrc_vertex.glsl","../src/shaders/ShaderChunk/mixSrc_pars_fragment.glsl","../src/shaders/ShaderChunk/mixSrc_fragment_begin.glsl","../src/shaders/ShaderChunk/mixSrc_fragment_end.glsl","../src/shaders/ShaderChunk/mixDst_pars_vertex.glsl","../src/shaders/ShaderChunk/mixDst_vertex.glsl","../src/shaders/ShaderChunk/mixDst_pars_fragment.glsl","../src/shaders/ShaderChunk/mixDst_fragment.glsl","../src/shaders/ShaderChunk/texture_vertex.glsl","../src/shaders/ShaderChunk/texture_pars_vertex.glsl","../src/shaders/ShaderChunk/texture_pars_fragment.glsl","../src/shaders/ShaderChunk/adjustments_fragment.glsl","../src/shaders/ShaderChunk/adjustments_pars_fragment.glsl","../src/shaders/ShaderChunk/calcSrcUv.glsl","../src/shaders/ShaderChunk.ts","../src/shaders/shaderUtils.ts","../src/shaders/uniformsUtils.ts","../src/materials/core/FxMaterial.ts","../src/materials/core/BasicFxMaterial.ts","../src/materials/impl/noise/NoiseMaterial.ts","../src/materials/impl/fluid/shaders/vertex.ts","../src/materials/impl/fluid/shaders/advection.frag","../src/materials/impl/fluid/AdvectionMaterial.ts","../src/materials/impl/fluid/shaders/divergence.frag","../src/materials/impl/fluid/DivergenceMaterial.ts","../src/materials/impl/fluid/shaders/pressure.frag","../src/materials/impl/fluid/PressureMaterial.ts","../src/materials/impl/fluid/shaders/poisson.frag","../src/materials/impl/fluid/PoissonMaterial.ts","../src/materials/impl/fluid/shaders/splat.frag","../src/materials/impl/fluid/SplatMaterial.ts","../src/materials/impl/fluid/OutputMaterial.ts","../src/materials/impl/fluid/index.js","../src/materials/core/SamplingFxMaterial.ts","../src/materials/impl/buffer/BufferMaterial.ts","../src/materials/impl/rawBlank/RawBlankMaterial.ts","../src/materials/impl/blank/BlankMaterial.ts","../src/materials/impl/grid/grid.glsl.ts","../src/materials/impl/grid/GridMaterial.ts","../src/hooks/useNoise/index.ts","../src/hooks/useFluid/scenes/useAdvection.ts","../src/misc/usePointerTracker.ts","../src/hooks/useFluid/scenes/useSplat.ts","../src/hooks/useFluid/scenes/useDivergence.ts","../src/hooks/useFluid/scenes/usePoisson.ts","../src/hooks/useFluid/scenes/usePressure.ts","../src/hooks/useFluid/scenes/useOutput.ts","../src/hooks/useFluid/index.ts","../src/hooks/useBuffer/index.tsx","../src/hooks/useRawBlank/index.tsx","../src/hooks/useBlank/index.tsx","../src/hooks/useGrid/index.ts","../src/libs/Easings.ts","../src/misc/useBeat.ts","../src/misc/useWindowPointer.ts"],"sourcesContent":["import { Dpr } from \"../hooks/types\";\n\nexport const getDpr = (\n dpr: Dpr\n): { shader: number | false; fbo: number | false } => {\n if (typeof dpr === \"number\") {\n return { shader: dpr, fbo: dpr };\n }\n return {\n shader: dpr.shader ?? false,\n fbo: dpr.fbo ?? false,\n };\n};\n","import * as THREE from \"three\";\nimport { useState } from \"react\";\nimport { Size } from \"../hooks/types\";\n\n/**\n * @params dpr if dpr is set, it returns the resolution which is size multiplied by dpr.\n */\nexport const useResolution = (size: Size, dpr: number | false = false) => {\n const _width = dpr ? size.width * dpr : size.width;\n const _height = dpr ? size.height * dpr : size.height;\n\n const [resolution] = useState(() => new THREE.Vector2(_width, _height));\n resolution.set(_width, _height);\n\n return resolution;\n};\n","import * as THREE from \"three\";\nimport { useResolution } from \"./useResolution\";\nimport { useState } from \"react\";\nimport { Size } from \"../hooks/types\";\n\nconst getCameraProps = (width: number, height: number) => {\n const frustumSize = height;\n const aspect = width / height;\n const [w, h] = [(frustumSize * aspect) / 2, frustumSize / 2];\n return { width: w, height: h, near: -1000, far: 1000 };\n};\n\nexport const useCamera = (\n size: Size,\n cameraType: \"OrthographicCamera\" | \"PerspectiveCamera\" = \"OrthographicCamera\"\n) => {\n const resolution = useResolution(size);\n const { width, height, near, far } = getCameraProps(\n resolution.x,\n resolution.y\n );\n\n const [camera] = useState(() => {\n return cameraType === \"OrthographicCamera\"\n ? new THREE.OrthographicCamera(\n -width,\n width,\n height,\n -height,\n near,\n far\n )\n : new THREE.PerspectiveCamera(50, width / height);\n });\n\n if (camera instanceof THREE.OrthographicCamera) {\n camera.left = -width;\n camera.right = width;\n camera.top = height;\n camera.bottom = -height;\n camera.near = near;\n camera.far = far;\n camera.updateProjectionMatrix();\n } else if (camera instanceof THREE.PerspectiveCamera) {\n camera.aspect = width / height;\n camera.updateProjectionMatrix();\n }\n\n return camera;\n};\n","import * as THREE from \"three\";\nimport { useCallback, useEffect, useState } from \"react\";\nimport { useResolution } from \"./useResolution\";\nimport { Size } from \"../hooks/types\";\n\nexport const FBO_DEFAULT_OPTION: THREE.RenderTargetOptions = {\n depthBuffer: false,\n};\n\nexport type UseFboProps = {\n scene?: THREE.Scene;\n camera?: THREE.Camera;\n size: Size;\n /** If dpr is set, dpr will be multiplied, default : `false` */\n dpr?: number | false;\n /** Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default : `false` */\n fboAutoSetSize?: boolean;\n /** If set, the scene depth will be rendered into buffer.depthTexture. default : `false` */\n depth?: boolean;\n} & THREE.RenderTargetOptions;\n\nexport type RenderProps = {\n gl: THREE.WebGLRenderer;\n scene?: THREE.Scene;\n camera?: THREE.Camera;\n clear?: boolean;\n};\n\nexport const renderFBO = ({\n gl,\n fbo,\n scene,\n camera,\n clear = true,\n onBeforeRender,\n onSwap,\n}: {\n fbo: THREE.WebGLRenderTarget;\n onBeforeRender: () => void;\n onSwap?: () => void;\n} & RenderProps) => {\n if (!scene || !camera) return;\n const clearCache = gl.autoClear;\n gl.autoClear = clear;\n gl.setRenderTarget(fbo);\n onBeforeRender();\n gl.render(scene, camera);\n onSwap && onSwap();\n gl.setRenderTarget(null);\n gl.autoClear = clearCache;\n};\n\nexport type SingleFBOUpdateFunction = (\n renderProps: RenderProps,\n /** call before FBO is rendered */\n onBeforeRender?: ({ read }: { read: THREE.Texture }) => void\n) => THREE.Texture;\n\ntype UseSingleFBOReturn = [THREE.WebGLRenderTarget, SingleFBOUpdateFunction];\n\n/**\n * @param dpr If dpr is set, dpr will be multiplied, default:false\n * @param fboAutoSetSize Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default:false\n * @param depthBuffer Unlike the default in three.js, the default is `false`.\n * @returns [THREE.WebGLRenderTarget , updateFBO] -Receives the RenderTarget as the first argument and the update function as the second argument.\n */\nexport const useSingleFBO = (props: UseFboProps): UseSingleFBOReturn => {\n const {\n scene,\n camera,\n size,\n dpr = false,\n fboAutoSetSize = false,\n depth = false,\n ...renderTargetOptions\n } = props;\n\n const resolution = useResolution(size, dpr);\n\n const [renderTarget] = useState(() => {\n const target = new THREE.WebGLRenderTarget(resolution.x, resolution.y, {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n });\n if (depth) {\n target.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n }\n return target;\n });\n\n if (fboAutoSetSize) {\n renderTarget.setSize(resolution.x, resolution.y);\n }\n\n useEffect(() => {\n const temp = renderTarget;\n return () => {\n temp?.dispose();\n };\n }, [renderTarget]);\n\n const updateRenderTarget: SingleFBOUpdateFunction = useCallback(\n (renderProps, onBeforeRender) => {\n const fbo = renderTarget!;\n renderFBO({\n ...renderProps,\n scene: renderProps.scene || scene,\n camera: renderProps.camera || camera,\n fbo,\n onBeforeRender: () => onBeforeRender?.({ read: fbo.texture }),\n });\n return fbo.texture;\n },\n [scene, camera, renderTarget]\n );\n\n return [renderTarget, updateRenderTarget];\n};\n","import * as THREE from \"three\";\nimport { useCallback, useEffect, useState } from \"react\";\nimport {\n FBO_DEFAULT_OPTION,\n UseFboProps,\n renderFBO,\n RenderProps,\n} from \"./useSingleFBO\";\nimport { useResolution } from \"./useResolution\";\n\nexport type DoubleRenderTarget = {\n read: THREE.WebGLRenderTarget;\n write: THREE.WebGLRenderTarget;\n};\n\ninterface WebGLDoubleRenderTarget extends DoubleRenderTarget {\n swap: () => void;\n}\n\nexport type DoubleFBOUpdateFunction = (\n renderProps: RenderProps,\n /** call before FBO is rendered */\n onBeforeRender?: ({\n read,\n write,\n }: {\n read: THREE.Texture;\n write: THREE.Texture;\n }) => void\n) => THREE.Texture;\n\ntype UseDoubleFBOReturn = [\n { read: THREE.WebGLRenderTarget; write: THREE.WebGLRenderTarget },\n DoubleFBOUpdateFunction\n];\n\n/**\n * @description Custom hook for setting up double buffering with WebGL render targets.\n * @param UseFboProps same as `useSingleFBO`\n */\nexport const useDoubleFBO = (props: UseFboProps): UseDoubleFBOReturn => {\n const {\n scene,\n camera,\n size,\n dpr = false,\n fboAutoSetSize = false,\n depth = false,\n ...renderTargetOptions\n } = props;\n\n const resolution = useResolution(size, dpr);\n\n const [renderTarget] = useState<WebGLDoubleRenderTarget>(() => {\n const read = new THREE.WebGLRenderTarget(resolution.x, resolution.y, {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n });\n const write = new THREE.WebGLRenderTarget(resolution.x, resolution.y, {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n });\n\n if (depth) {\n read.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n write.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n }\n\n return {\n read: read,\n write: write,\n swap: function () {\n let temp = this.read;\n this.read = this.write;\n this.write = temp;\n },\n };\n });\n\n if (fboAutoSetSize) {\n renderTarget.read?.setSize(resolution.x, resolution.y);\n renderTarget.write?.setSize(resolution.x, resolution.y);\n }\n\n useEffect(() => {\n const temp = renderTarget;\n return () => {\n temp.read?.dispose();\n temp.write?.dispose();\n };\n }, [renderTarget]);\n\n const updateRenderTarget: DoubleFBOUpdateFunction = useCallback(\n (renderProps, onBeforeRender) => {\n const fbo = renderTarget;\n renderFBO({\n ...renderProps,\n scene: renderProps.scene || scene,\n camera: renderProps.camera || camera,\n fbo: fbo.write!,\n onBeforeRender: () =>\n onBeforeRender?.({\n read: fbo.read!.texture,\n write: fbo.write!.texture,\n }),\n onSwap: () => fbo.swap(),\n });\n return fbo.read?.texture as THREE.Texture;\n },\n [scene, camera, renderTarget]\n );\n\n return [\n { read: renderTarget.read, write: renderTarget.write },\n updateRenderTarget,\n ];\n};\n","import * as THREE from \"three\";\nimport { useEffect, useState } from \"react\";\nimport { Size } from \"../hooks/types\";\nimport { useResolution } from \"./useResolution\";\nimport { FxMaterial, FxMaterialProps } from \"../materials/core/FxMaterial\";\nimport { useCamera } from \"./useCamera\";\n\ntype Object3DConstructor<T, M extends THREE.Material> = new (\n geometry: THREE.BufferGeometry,\n material: M\n) => T;\n\ntype MaterialConstructor<M> = new (props: FxMaterialProps) => M;\n\ntype GeometryConstructor = new (\n width: number,\n height: number\n) => THREE.BufferGeometry;\n\n/**\n * Add geometry and material to Object3D and add them to scene.\n */\nconst useObject3D = <T extends THREE.Object3D, M extends THREE.Material>(\n scene: THREE.Scene | false,\n geometry: THREE.BufferGeometry,\n material: M,\n Proto: Object3DConstructor<T, M>\n) => {\n const [object3D] = useState(() => new Proto(geometry, material));\n\n useEffect(() => {\n scene && scene.add(object3D);\n return () => {\n scene && scene.remove(object3D);\n geometry.dispose();\n material.dispose();\n };\n }, [scene, geometry, material, object3D]);\n\n return object3D;\n};\n\nexport const useSetup = <M extends FxMaterial>({\n size,\n dpr,\n material,\n geometry = THREE.PlaneGeometry,\n geometrySize,\n ...materialProps\n}: {\n size: Size;\n dpr: number | false;\n material: MaterialConstructor<M>;\n geometry?: GeometryConstructor;\n geometrySize?: {\n width: number;\n height: number;\n };\n} & FxMaterialProps) => {\n // Mutable THREE objects should retain their values in useState\n // https://github.com/FunTechInc/use-shader-fx/issues/145\n const [scene] = useState(() => new THREE.Scene());\n const [_geometry] = useState(\n () => new geometry(geometrySize?.width || 2, geometrySize?.height || 2)\n );\n const [_material] = useState(() => new material(materialProps));\n\n // materialのresolutionはreactiveに更新する\n const resolution = useResolution(size, dpr);\n _material.updateResolution(resolution.x, resolution.y);\n\n useObject3D(scene, _geometry, _material, THREE.Mesh);\n\n const camera = useCamera(size);\n\n return {\n scene,\n material: _material,\n camera,\n };\n};\n","import { useCallback, useRef } from \"react\";\n\nexport const useMutableState = <S>(state: S) => {\n const ref = useRef(state);\n const setRef = useCallback((value: S | ((prevState: S) => S)) => {\n ref.current =\n typeof value === \"function\"\n ? (value as (prevState: S) => S)(ref.current)\n : value;\n }, []);\n\n return [ref, setRef] as const;\n};\n","import * as THREE from \"three\";\n\n// CDNとして使う場合、processがundefinedになるので、その場合はfalseを返す\nexport const ISDEV = (() => {\n try {\n return process.env.NODE_ENV === \"development\";\n } catch (error) {\n return false;\n }\n})();\n\nexport const MATERIAL_BASIC_PARAMS = {\n transparent: false,\n depthTest: false,\n depthWrite: false,\n};\n\nexport const DEFAULT_TEXTURE = new THREE.DataTexture(\n new Uint8Array([0, 0, 0, 0]),\n 1,\n 1,\n THREE.RGBAFormat\n);\n\nexport const APP_NAME = \"use-shader-fx\";\n\nexport const THREE_FLAG_PROPS = [\n \"isColor\",\n \"isMatrix3\",\n \"isMatrix4\",\n \"isVector2\",\n \"isVector3\",\n \"isVector4\",\n \"isTexture\",\n \"isQuaternion\",\n \"isWebGLRenderTarget\",\n \"isEuler\",\n \"isBufferGeometry\",\n \"isMaterial\",\n \"isCamera\",\n \"isLight\",\n \"isObject3D\",\n \"isBone\",\n \"isVideoTexture\",\n];\n","import { APP_NAME, ISDEV } from \"../libs/constants\";\n\nexport const warn = (text: string) => {\n if (ISDEV) {\n console.warn(`${APP_NAME}: ${text}`);\n }\n};\n","import * as THREE from \"three\";\nimport { DefaultUniforms } from \"./FxMaterial\";\nimport {\n NestUniformValues,\n UniformParentKey,\n} from \"../../shaders/uniformsUtils\";\nimport { DEFAULT_TEXTURE } from \"../../libs/constants\";\nimport type { Vec4Channel } from \"../../libs/types\";\n\n/*===============================================\ntypes\n===============================================*/\n/** 0:`fill` 1:`cover` 2:`contain` */\nexport type FitType = 0 | 1 | 2;\n\nexport type BasicFxUniformsUnique = {\n /*===============================================\n\tmixSrc\n\t===============================================*/\n mixSrc: { value: UniformParentKey };\n mixSrc_src: { value: THREE.Texture };\n mixSrc_fit: { value: FitType };\n // uv\n mixSrc_uv: { value: UniformParentKey };\n mixSrc_uv_ch: { value: Vec4Channel }; // mixSrcのどのchを使って、このfxのuvをノイズさせるか\n mixSrc_uv_factor: { value: number };\n mixSrc_uv_offset: { value: THREE.Vector2 };\n mixSrc_uv_radius: { value: number }; // 負の値は画面全体\n mixSrc_uv_position: { value: THREE.Vector2 };\n mixSrc_uv_range: { value: THREE.Vector2 };\n mixSrc_uv_mixMap: { value: UniformParentKey };\n mixSrc_uv_mixMap_src: { value: THREE.Texture };\n mixSrc_uv_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n\n // color\n mixSrc_color: { value: UniformParentKey };\n mixSrc_color_factor: { value: number };\n mixSrc_color_radius: { value: number }; // 負の値は画面全体\n mixSrc_color_position: { value: THREE.Vector2 };\n mixSrc_color_range: { value: THREE.Vector2 };\n mixSrc_color_mixMap: { value: UniformParentKey };\n mixSrc_color_mixMap_src: { value: THREE.Texture };\n mixSrc_color_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n\n // alpha\n mixSrc_alpha: { value: UniformParentKey };\n mixSrc_alpha_factor: { value: number };\n mixSrc_alpha_radius: { value: number }; // 負の値は画面全体\n mixSrc_alpha_position: { value: THREE.Vector2 };\n mixSrc_alpha_range: { value: THREE.Vector2 };\n mixSrc_alpha_mixMap: { value: UniformParentKey };\n mixSrc_alpha_mixMap_src: { value: THREE.Texture };\n mixSrc_alpha_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n\n /*===============================================\n\tmixDst\n\t===============================================*/\n mixDst: { value: UniformParentKey };\n mixDst_src: { value: THREE.Texture };\n mixDst_fit: { value: FitType };\n // uv\n mixDst_uv: { value: UniformParentKey };\n mixDst_uv_ch: { value: Vec4Channel }; // このfxのどのchを使ってmixDstのuvをノイズさせるか\n mixDst_uv_factor: { value: number };\n mixDst_uv_offset: { value: THREE.Vector2 };\n mixDst_uv_radius: { value: number }; // 負の値は画面全体\n mixDst_uv_position: { value: THREE.Vector2 };\n mixDst_uv_range: { value: THREE.Vector2 };\n mixDst_uv_mixMap: { value: UniformParentKey };\n mixDst_uv_mixMap_src: { value: THREE.Texture };\n mixDst_uv_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n // color\n mixDst_color: { value: UniformParentKey };\n mixDst_color_factor: { value: number };\n mixDst_color_radius: { value: number }; // 負の値は画面全体\n mixDst_color_position: { value: THREE.Vector2 };\n mixDst_color_range: { value: THREE.Vector2 };\n mixDst_color_mixMap: { value: UniformParentKey };\n mixDst_color_mixMap_src: { value: THREE.Texture };\n mixDst_color_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n // alpha\n mixDst_alpha: { value: UniformParentKey };\n mixDst_alpha_factor: { value: number };\n mixDst_alpha_radius: { value: number }; // 負の値は画面全体\n mixDst_alpha_position: { value: THREE.Vector2 };\n mixDst_alpha_range: { value: THREE.Vector2 };\n mixDst_alpha_mixMap: { value: UniformParentKey };\n mixDst_alpha_mixMap_src: { value: THREE.Texture };\n mixDst_alpha_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n\n /*===============================================\n\tadjustments\n\t===============================================*/\n // levels\n levels: { value: UniformParentKey };\n levels_shadows: { value: THREE.Vector4 };\n levels_midtones: { value: THREE.Vector4 };\n levels_highlights: { value: THREE.Vector4 };\n levels_outputMin: { value: THREE.Vector4 };\n levels_outputMax: { value: THREE.Vector4 };\n // contrast\n contrast: { value: UniformParentKey };\n contrast_factor: { value: THREE.Vector4 };\n // colorBalance\n colorBalance: { value: UniformParentKey };\n colorBalance_factor: { value: THREE.Vector3 };\n // hsv\n hsv: { value: UniformParentKey };\n hsv_hueShift: { value: number }; // 色相を +X 度分回転 (0.0~1.0 で0~360度)\n hsv_saturation: { value: number }; // 彩度乗算 (1.0で変化なし)\n hsv_brightness: { value: number }; // 明度乗算 (1.0で変化なし)\n // posterize\n posterize: { value: UniformParentKey };\n posterize_levels: { value: THREE.Vector4 };\n // grayscale\n grayscale: { value: UniformParentKey };\n grayscale_weight: { value: THREE.Vector3 };\n grayscale_duotone: { value: UniformParentKey };\n grayscale_duotone_color0: { value: THREE.Color };\n grayscale_duotone_color1: { value: THREE.Color };\n grayscale_threshold: { value: number }; // 0~1 負の値は処理をスキップする\n};\n\n// BasicFxValuesの型からfitScaleを排除する\ntype BasicFxUniformsFitScale = {\n mixSrc_fitScale: { value: THREE.Vector2 };\n mixDst_fitScale: { value: THREE.Vector2 };\n};\n\nexport type BasicFxUniforms = BasicFxUniformsUnique & DefaultUniforms;\n\nexport type BasicFxValues = NestUniformValues<BasicFxUniforms>;\n\nexport type FxKey = {\n srcSystem: boolean;\n mixSrc: boolean;\n mixDst: boolean;\n levels: boolean;\n contrast: boolean;\n colorBalance: boolean;\n hsv: boolean;\n posterize: boolean;\n grayscale: boolean;\n};\n\nexport type SrcSystemKey = \"mixSrc\" | \"mixDst\" | \"texture\";\n\n/*===============================================\nconstants\n===============================================*/\nexport const BASICFX_VALUES: BasicFxUniformsUnique & BasicFxUniformsFitScale = {\n /*===============================================\n\tmixSrc\n\t===============================================*/\n mixSrc: { value: false },\n mixSrc_src: { value: new THREE.Texture() },\n mixSrc_fit: { value: 0 },\n mixSrc_fitScale: { value: new THREE.Vector2(1, 1) },\n // uv\n mixSrc_uv: { value: false },\n mixSrc_uv_ch: { value: 0 },\n mixSrc_uv_factor: { value: 0 },\n mixSrc_uv_offset: { value: new THREE.Vector2(0, 0) },\n mixSrc_uv_radius: { value: 0.5 },\n mixSrc_uv_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixSrc_uv_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixSrc_uv_mixMap: { value: false },\n mixSrc_uv_mixMap_src: { value: DEFAULT_TEXTURE },\n mixSrc_uv_mixMap_ch: { value: 0 },\n\n // color\n mixSrc_color: { value: false },\n mixSrc_color_factor: { value: 0 },\n mixSrc_color_radius: { value: 0.5 },\n mixSrc_color_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixSrc_color_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixSrc_color_mixMap: { value: false },\n mixSrc_color_mixMap_src: { value: DEFAULT_TEXTURE },\n mixSrc_color_mixMap_ch: { value: 0 },\n\n // alpha\n mixSrc_alpha: { value: false },\n mixSrc_alpha_factor: { value: 0 },\n mixSrc_alpha_radius: { value: 0.5 },\n mixSrc_alpha_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixSrc_alpha_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixSrc_alpha_mixMap: { value: false },\n mixSrc_alpha_mixMap_src: { value: DEFAULT_TEXTURE },\n mixSrc_alpha_mixMap_ch: { value: 0 },\n\n /*===============================================\n\tmixDst\n\t===============================================*/\n mixDst: { value: false },\n mixDst_src: { value: new THREE.Texture() },\n mixDst_fit: { value: 0 },\n mixDst_fitScale: { value: new THREE.Vector2(1, 1) },\n\n // uv\n mixDst_uv: { value: false },\n mixDst_uv_ch: { value: 0 },\n mixDst_uv_factor: { value: 0 },\n mixDst_uv_offset: { value: new THREE.Vector2(0, 0) },\n mixDst_uv_radius: { value: 0.5 },\n mixDst_uv_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixDst_uv_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixDst_uv_mixMap: { value: false },\n mixDst_uv_mixMap_src: { value: DEFAULT_TEXTURE },\n mixDst_uv_mixMap_ch: { value: 0 },\n\n // color\n mixDst_color: { value: false },\n mixDst_color_factor: { value: 0 },\n mixDst_color_radius: { value: 0.5 },\n mixDst_color_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixDst_color_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixDst_color_mixMap: { value: false },\n mixDst_color_mixMap_src: { value: DEFAULT_TEXTURE },\n mixDst_color_mixMap_ch: { value: 0 },\n\n // alpha\n mixDst_alpha: { value: false },\n mixDst_alpha_factor: { value: 0 },\n mixDst_alpha_radius: { value: 0.5 },\n mixDst_alpha_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixDst_alpha_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixDst_alpha_mixMap: { value: false },\n mixDst_alpha_mixMap_src: { value: DEFAULT_TEXTURE },\n mixDst_alpha_mixMap_ch: { value: 0 },\n\n /*===============================================\n\tadjustments\n\t===============================================*/\n // levels\n levels: { value: false },\n levels_shadows: { value: new THREE.Vector4(0, 0, 0, 0) },\n levels_midtones: { value: new THREE.Vector4(1, 1, 1, 1) },\n levels_highlights: { value: new THREE.Vector4(1, 1, 1, 1) },\n levels_outputMin: { value: new THREE.Vector4(0, 0, 0, 0) },\n levels_outputMax: { value: new THREE.Vector4(1, 1, 1, 1) },\n // contrast\n contrast: { value: false },\n contrast_factor: { value: new THREE.Vector4(1, 1, 1, 1) },\n // colorBalance\n colorBalance: { value: false },\n colorBalance_factor: { value: new THREE.Vector3(1, 1, 1) },\n // hsv\n hsv: { value: false },\n hsv_hueShift: { value: 0 },\n hsv_saturation: { value: 1 },\n hsv_brightness: { value: 1 },\n // posterize\n posterize: { value: false },\n posterize_levels: { value: new THREE.Vector4(0, 0, 0, 0) },\n // grayscale\n grayscale: { value: false },\n grayscale_weight: { value: new THREE.Vector3(0, 0, 0) },\n grayscale_duotone: { value: false },\n grayscale_duotone_color0: { value: new THREE.Color(0x000000) },\n grayscale_duotone_color1: { value: new THREE.Color(0xffffff) },\n grayscale_threshold: { value: -1 },\n};\n\n/*===============================================\nfunctions\n===============================================*/\nexport function handleUpdateFxDefines(fxKey: FxKey): {\n [key: string]: any;\n} {\n const {\n mixSrc,\n mixDst,\n srcSystem,\n levels,\n contrast,\n colorBalance,\n hsv,\n posterize,\n grayscale,\n } = fxKey;\n return {\n USF_USE_SRC_SYSTEM: srcSystem,\n USF_USE_MIXSRC: mixSrc,\n USF_USE_MIXDST: mixDst,\n USF_USE_LEVELS: levels,\n USF_USE_CONTRAST: contrast,\n USF_USE_COLORBALANCE: colorBalance,\n USF_USE_HSV: hsv,\n USF_USE_POSTERIZE: posterize,\n USF_USE_GRAYSCALE: grayscale,\n };\n}\n\n/** setterで定義される場合もあるため、valuesではなくuniformsから判定する */\nexport function getFxKeyFromUniforms(uniforms: BasicFxUniformsUnique): FxKey {\n const isMixSrc = uniforms.mixSrc.value ? true : false;\n const isMixDst = uniforms.mixDst.value ? true : false;\n const isSrcSystem = isMixSrc || isMixDst;\n return {\n mixSrc: isMixSrc,\n mixDst: isMixDst,\n srcSystem: isSrcSystem,\n levels: uniforms.levels.value ? true : false,\n contrast: uniforms.contrast.value ? true : false,\n colorBalance: uniforms.colorBalance.value ? true : false,\n hsv: uniforms.hsv.value ? true : false,\n posterize: uniforms.posterize.value ? true : false,\n grayscale: uniforms.grayscale.value ? true : false,\n };\n}\n","#usf <plane_vertex>","#usf <default_vertex>","#usf <default_pars_vertex>","#usf <default_pars_fragment>","#usf <mixSrc_vertex>\n#usf <mixDst_vertex>","#usf <srcSystem_pars_vertex>\n#usf <mixSrc_pars_vertex>\n#usf <mixDst_pars_vertex>","#usf <mixSrc_pars_fragment>\n#usf <mixDst_pars_fragment>\n#usf <srcSystem_pars_fragment>\n#usf <adjustments_pars_fragment>","#usf <mixSrc_fragment_begin>","#usf <mixSrc_fragment_end>\n#usf <mixDst_fragment>\n#usf <adjustments_fragment>","#usf <texture_vertex>","#usf <texture_pars_vertex>","#usf <texture_pars_fragment>","import plane_vertex from \"./ShaderLib/plane_vertex.glsl\";\nimport default_vertex from \"./ShaderLib/default_vertex.glsl\";\nimport default_pars_vertex from \"./ShaderLib/default_pars_vertex.glsl\";\nimport default_pars_fragment from \"./ShaderLib/default_pars_fragment.glsl\";\nimport basicFx_vertex from \"./ShaderLib/basicFx_vertex.glsl\";\nimport basicFx_pars_vertex from \"./ShaderLib/basicFx_pars_vertex.glsl\";\nimport basicFx_pars_fragment from \"./ShaderLib/basicFx_pars_fragment.glsl\";\nimport basicFx_fragment_begin from \"./ShaderLib/basicFx_fragment_begin.glsl\";\nimport basicFx_fragment_end from \"./ShaderLib/basicFx_fragment_end.glsl\";\nimport samplingFx_vertex from \"./ShaderLib/samplingFx_vertex.glsl\";\nimport samplingFx_pars_vertex from \"./ShaderLib/samplingFx_pars_vertex.glsl\";\nimport samplingFx_pars_fragment from \"./ShaderLib/samplingFx_pars_fragment.glsl\";\n\nexport type ShaderLibTypes =\n | \"plane_vertex\"\n | \"default_vertex\"\n | \"default_pars_vertex\"\n | \"default_pars_fragment\"\n | \"basicFx_vertex\"\n | \"basicFx_pars_vertex\"\n | \"basicFx_pars_fragment\"\n | \"basicFx_fragment_begin\"\n | \"basicFx_fragment_end\"\n | \"samplingFx_vertex\"\n | \"samplingFx_pars_vertex\"\n | \"samplingFx_pars_fragment\";\n\nexport const ShaderLib: { [K in ShaderLibTypes]: string } = Object.freeze({\n plane_vertex,\n default_vertex,\n default_pars_vertex,\n default_pars_fragment,\n basicFx_vertex,\n basicFx_pars_vertex,\n basicFx_pars_fragment,\n basicFx_fragment_begin,\n basicFx_fragment_end,\n samplingFx_vertex,\n samplingFx_pars_vertex,\n samplingFx_pars_fragment,\n});\n","import { ShaderLib } from \"../../../shaders/ShaderLib\";\n\nexport const noiseVertex = `\n\tvoid main() {\n\t\t${ShaderLib.plane_vertex}\n\t}\n`;\n\nexport const noiseFragment = `\n\tprecision highp int;\n\n\tuniform float tick;\n\tuniform float timeStrength;\n\tuniform int noiseOctaves;\n\tuniform int fbmOctaves;\n\tuniform int warpOctaves;\n\tuniform vec2 warpDirection;\n\tuniform float warpStrength;\n\tuniform float scale;\n\tuniform float timeOffset;\n\n\tconst float per = 0.5;\n\tconst float PI = 3.14159265359;\n\n\tfloat rnd(vec2 n) {\n\t\tfloat a = 0.129898;\n\t\tfloat b = 0.78233;\n\t\tfloat c = 437.585453;\n\t\tfloat dt= dot(n ,vec2(a, b));\n\t\tfloat sn= mod(dt, PI);\n\t\treturn fract(sin(sn) * c);\n\t}\n\n\tfloat interpolate(float a, float b, float x){\n\t\tfloat f = (1.0 - cos(x * PI)) * 0.5;\n\t\treturn a * (1.0 - f) + b * f;\n\t}\n\n\tfloat irnd(vec2 p){\n\t\tvec2 i = floor(p);\n\t\tvec2 f = fract(p);\n\t\tvec4 v = vec4(rnd(vec2(i.x,i.y)),rnd(vec2(i.x + 1.0,i.y)),rnd(vec2(i.x,i.y + 1.0)),rnd(vec2(i.x + 1.0, i.y + 1.0)));\n\t\treturn interpolate(interpolate(v.x, v.y, f.x), interpolate(v.z, v.w, f.x), f.y);\n\t}\n\n\t// Based on The Book of Shaders\n\t// https://thebookofshaders.com/13/\n\tfloat noise(vec2 p, float time){\n\t\tfloat _time = time + timeOffset;\n\t\tfloat t = 0.0;\n\t\tfor(int i = 0; i < noiseOctaves; i++){\n\t\t\tfloat freq = pow(2.0, float(i));\n\t\t\tfloat amp = pow(per, float(noiseOctaves - i));\n\t\t\tt += irnd(vec2(p.y / freq + _time, p.x / freq + _time)) * amp;\n\t\t}\n\t\treturn t;\n\t}\n\n\tfloat fbm(vec2 x, float time) {\n\t\tfloat v = 0.0;\n\t\tfloat a = 0.5;\n\t\tvec2 shift = vec2(100);\n\t\tmat2 rot = mat2(cos(0.5), sin(0.5), -sin(0.5), cos(0.5));\n\t\tfloat sign = 1.0;\n\t\tfor (int i = 0; i < fbmOctaves; ++i) {\n\t\t\tv += a * noise(x, time * sign);\n\t\t\tx = rot * x * 2.0 + shift;\n\t\t\ta *= 0.5;\n\t\t\tsign *= -1.0;\n\t\t}\n\t\treturn v;\n\t}\n\n\tfloat warp(vec2 x, float g,float time){\n\t\tfloat val = 0.0;\n\t\tfor (int i = 0; i < warpOctaves; i++){\n\t\t\tval = fbm(x + g * vec2(cos(warpDirection.x * val), sin(warpDirection.y * val)), time);\n\t\t}\n\t\treturn val;\n\t}\n\n\tvoid main() {\n\n\t\tvec2 usf_Uv = gl_FragCoord.xy * scale;\n\n\t\t${ShaderLib.basicFx_fragment_begin}\n\n\t\tfloat noise = warp(usf_Uv ,warpStrength,tick * timeStrength);\n\n\t\tvec4 usf_FragColor = vec4(noise);\n\n\t\t${ShaderLib.basicFx_fragment_end}\n\n\t\tgl_FragColor = usf_FragColor;\n\n\t}\n`;\n","gl_Position = vec4(position, 1.0);","#ifdef USF_USE_SRC_SYSTEM\n\n\t#usf <calcSrcUv>\n\n#endif\n","#ifdef USF_USE_SRC_SYSTEM\n\n\t#usf <calcSrcUv>\n\n\tfloat calcMixCirclePower(vec2 center, float radius, vec2 range)\n\t{\n\t\tvec2 adjustedUV = (vUv - 0.5) * vec2(aspectRatio, 1.0) + 0.5;\n\t\tvec2 adjustedCenter = (center - 0.5) * vec2(aspectRatio, 1.0) + 0.5;\n\t\t\n\t\tfloat dist = length(adjustedUV - adjustedCenter);\n\t\tfloat power = radius > 0.0 ? 1.0 - dist / radius : 1.0;\n\t\treturn smoothstep(range.x,range.y,power);\n\t}\n\n\tfloat calcMixMapPower(sampler2D map,vec2 range, int ch)\n\t{\n\t\treturn smoothstep(range.x,range.y, texture2D(map, vUv)[ch]);\n\t}\n\n\tvec4 fitTexture(sampler2D src , vec2 uv, int fitType)\n\t{\n\t\t// fitTypeがcontainの場合だけ範囲外を透過する\n\t\tfloat a = fitType == 2 ? step(0.0, uv.x) * step(uv.x, 1.0) * step(0.0, uv.y) * step(uv.y, 1.0) : 1.;\n\t\treturn mix(vec4(0.), texture2D(src, uv), a);\n\t}\n\n#endif\n","vUv = uv;","precision highp float;\n\nvarying vec2 vUv;\nuniform vec2 resolution;\nuniform vec2 texelSize;\nuniform float aspectRatio;\nuniform vec2 maxAspect;","precision highp float;\n\nvarying vec2 vUv;\nuniform vec2 resolution;\nuniform vec2 texelSize;\nuniform float aspectRatio;\nuniform vec2 maxAspect;\nuniform int renderCount;","#ifdef USF_USE_MIXSRC\n\tvarying vec2 vMixSrcCoverUv;\n\tuniform vec2 mixSrc_fitScale;\n#endif","#ifdef USF_USE_MIXSRC\t\t\t\n\tvMixSrcCoverUv = calcSrcUv(vUv, mixSrc_fitScale);\t\n#endif","#ifdef USF_USE_MIXSRC\n\tvarying vec2 vMixSrcCoverUv;\n\tuniform sampler2D mixSrc_src;\n\tuniform int mixSrc_fit;\n\n\tuniform bool mixSrc_uv;\n\tuniform int mixSrc_uv_ch;\n\tuniform float mixSrc_uv_factor;\n\tuniform vec2 mixSrc_uv_offset;\n\tuniform float mixSrc_uv_radius;\n\tuniform vec2 mixSrc_uv_position;\n\tuniform vec2 mixSrc_uv_range;\n\tuniform bool mixSrc_uv_mixMap;\n\tuniform sampler2D mixSrc_uv_mixMap_src;\n\tuniform int mixSrc_uv_mixMap_ch;\n\n\tuniform bool mixSrc_color;\n\tuniform float mixSrc_color_factor;\n\tuniform float mixSrc_color_radius;\n\tuniform vec2 mixSrc_color_position;\n\tuniform vec2 mixSrc_color_range;\n\tuniform bool mixSrc_color_mixMap;\n\tuniform sampler2D mixSrc_color_mixMap_src;\n\tuniform int mixSrc_color_mixMap_ch;\n\n\tuniform bool mixSrc_alpha;\n\tuniform float mixSrc_alpha_factor;\n\tuniform float mixSrc_alpha_radius;\n\tuniform vec2 mixSrc_alpha_position;\n\tuniform vec2 mixSrc_alpha_range;\n\tuniform bool mixSrc_alpha_mixMap;\n\tuniform sampler2D mixSrc_alpha_mixMap_src;\n\tuniform int mixSrc_alpha_mixMap_ch;\n\n#endif","#ifdef USF_USE_MIXSRC\n\n\tvec4 mixSrcColor = fitTexture(mixSrc_src, vMixSrcCoverUv, mixSrc_fit);\n\n\tusf_Uv += mixSrc_uv \n\t\t? (mixSrc_uv_offset + (vec2(mixSrcColor[mixSrc_uv_ch]) * 2. - 1.)) * \n\t\t\t(mixSrc_uv_mixMap \n\t\t\t\t? calcMixMapPower(mixSrc_uv_mixMap_src,mixSrc_uv_range,mixSrc_uv_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixSrc_uv_position,mixSrc_uv_radius,mixSrc_uv_range)) * mixSrc_uv_factor\n\t\t: vec2(0.);\n\n#endif","#ifdef USF_USE_MIXSRC\n\t// color\n\tusf_FragColor = mixSrc_color \n\t\t? mix(usf_FragColor, mixSrcColor,\n\t\t\t(mixSrc_color_mixMap\n\t\t\t\t? calcMixMapPower(mixSrc_color_mixMap_src,mixSrc_color_range,mixSrc_color_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixSrc_color_position,mixSrc_color_radius,mixSrc_color_range)) * mixSrc_color_factor) \n\t\t: usf_FragColor;\n\t\n\t// alpha\n\tusf_FragColor = mixSrc_alpha \n\t\t? mix(usf_FragColor, mixSrcColor, \n\t\t\t(mixSrc_alpha_mixMap\n\t\t\t\t? calcMixMapPower(mixSrc_alpha_mixMap_src,mixSrc_alpha_range,mixSrc_alpha_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixSrc_alpha_position,mixSrc_alpha_radius,mixSrc_alpha_range)) * mixSrc_alpha_factor * mixSrcColor.a)\n\t\t: usf_FragColor;\n\n#endif","#ifdef USF_USE_MIXDST\n\tvarying vec2 vMixDstCoverUv;\n\tuniform vec2 mixDst_fitScale;\n#endif","#ifdef USF_USE_MIXDST\t\t\n\tvMixDstCoverUv = calcSrcUv(vUv, mixDst_fitScale);\t\n#endif","#ifdef USF_USE_MIXDST\n\n\tvarying vec2 vMixDstCoverUv;\n\tuniform sampler2D mixDst_src;\n\tuniform int mixDst_fit;\n\t\n\tuniform bool mixDst_uv;\n\tuniform int mixDst_uv_ch;\n\tuniform float mixDst_uv_factor;\n\tuniform vec2 mixDst_uv_offset;\n\tuniform float mixDst_uv_radius;\n\tuniform vec2 mixDst_uv_position;\n\tuniform vec2 mixDst_uv_range;\n\tuniform bool mixDst_uv_mixMap;\n\tuniform sampler2D mixDst_uv_mixMap_src;\n\tuniform int mixDst_uv_mixMap_ch;\n\n\tuniform bool mixDst_color;\n\tuniform float mixDst_color_factor;\n\tuniform float mixDst_color_radius;\n\tuniform vec2 mixDst_color_position;\n\tuniform vec2 mixDst_color_range;\n\tuniform bool mixDst_color_mixMap;\n\tuniform sampler2D mixDst_color_mixMap_src;\n\tuniform int mixDst_color_mixMap_ch;\n\n\tuniform bool mixDst_alpha;\n\tuniform float mixDst_alpha_factor;\n\tuniform float mixDst_alpha_radius;\n\tuniform vec2 mixDst_alpha_position;\n\tuniform vec2 mixDst_alpha_range;\n\tuniform bool mixDst_alpha_mixMap;\n\tuniform sampler2D mixDst_alpha_mixMap_src;\n\tuniform int mixDst_alpha_mixMap_ch;\n\n#endif","#ifdef USF_USE_MIXDST\n\n\t// uv\n\tvec2 mixedUv = vMixDstCoverUv;\n\tmixedUv += mixDst_uv \n\t\t? (mixDst_uv_offset + (vec2(usf_FragColor[mixDst_uv_ch]) * 2. - 1.)) * \n\t\t\t(mixDst_uv_mixMap \n\t\t\t\t? calcMixMapPower(mixDst_uv_mixMap_src,mixDst_uv_range,mixDst_uv_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixDst_uv_position,mixDst_uv_radius,mixDst_uv_range)) * mixDst_uv_factor\n\t\t: vec2(0.);\n\tvec4 mixDstColor = fitTexture(mixDst_src, mixedUv , mixDst_fit);\n\n\t// color\n\tusf_FragColor = mixDst_color \n\t\t? mix(usf_FragColor, mixDstColor,\n\t\t\t(mixDst_color_mixMap\n\t\t\t\t? calcMixMapPower(mixDst_color_mixMap_src,mixDst_color_range,mixDst_color_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixDst_color_position,mixDst_color_radius,mixDst_color_range)) * mixDst_color_factor) \n\t\t: usf_FragColor;\n\n\t// alpha\n\tusf_FragColor = mixDst_alpha \n\t\t? mix(usf_FragColor, mixDstColor, \n\t\t\t(mixDst_alpha_mixMap\n\t\t\t\t? calcMixMapPower(mixDst_alpha_mixMap_src,mixDst_alpha_range,mixDst_alpha_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixDst_alpha_position,mixDst_alpha_radius,mixDst_alpha_range)) * mixDst_alpha_factor * mixDstColor.a)\n\t\t: usf_FragColor;\n\n#endif\n\n","#ifdef USF_USE_TEXTURE\t\t\n\tvTextureCoverUv = calcSrcUv(vUv, texture_fitScale);\n#endif","#ifdef USF_USE_TEXTURE\n\tvarying vec2 vTextureCoverUv;\n\tuniform vec2 texture_fitScale;\n#endif","#ifdef USF_USE_TEXTURE\t\n\tvarying vec2 vTextureCoverUv;\n\tuniform sampler2D texture_src;\n\tuniform int texture_fit;\n\tuniform vec2 texture_fitScale;\n#endif","#ifdef USF_USE_LEVELS\n\tusf_FragColor = (usf_FragColor - vec4(levels_shadows)) / (vec4(levels_highlights) - vec4(levels_shadows));\n\tusf_FragColor = pow(usf_FragColor, vec4(1.0 / levels_midtones));\n\tusf_FragColor = usf_FragColor * (vec4(levels_outputMax) - vec4(levels_outputMin)) + vec4(levels_outputMin);\n#endif\n\n#ifdef USF_USE_CONTRAST\n\tusf_FragColor = clamp(((usf_FragColor-.5)*contrast_factor)+.5, 0., 1.);\n#endif\n\n#ifdef USF_USE_COLORBALANCE\n\tusf_FragColor.rgb = clamp(usf_FragColor.rgb * colorBalance_factor, 0., 1.);\n#endif\n\n#ifdef USF_USE_HSV\n\tvec3 hsv = rgb2hsv(usf_FragColor.rgb);\n\thsv.x = fract(hsv.x + hsv_hueShift);\n\thsv.y = clamp(hsv.y * hsv_saturation, 0.0, 1.0);\n\thsv.z = clamp(hsv.z * hsv_brightness, 0.0, 1.0);\n\tusf_FragColor.rgb = hsv2rgb(hsv);\n#endif\n\n#ifdef USF_USE_POSTERIZE\n\tusf_FragColor = posterize(usf_FragColor, posterize_levels);\n#endif\n\n#ifdef USF_USE_GRAYSCALE\n\tfloat grayscale = dot(usf_FragColor.rgb, vec3(0.299 + grayscale_weight.r, 0.587 + grayscale_weight.g, 0.114 + grayscale_weight.b));\n\tgrayscale = grayscale_threshold > 0.0 ? step(grayscale_threshold, grayscale) : grayscale;\n\tvec3 duotoneColor = mix(grayscale_duotone_color0, grayscale_duotone_color1, grayscale);\n\tusf_FragColor.rgb = grayscale_duotone ? duotoneColor : vec3(grayscale);\n#endif\n","#ifdef USF_USE_LEVELS\n\tuniform vec4 levels_shadows;\n\tuniform vec4 levels_midtones;\n\tuniform vec4 levels_highlights;\n\tuniform vec4 levels_outputMin;\n\tuniform vec4 levels_outputMax;\n#endif\n\n#ifdef USF_USE_CONTRAST\n\tuniform vec4 contrast_factor;\n#endif\n\n#ifdef USF_USE_COLORBALANCE\n\tuniform vec3 colorBalance_factor;\n#endif\n\n#ifdef USF_USE_HSV\n\tuniform float hsv_hueShift;\n\tuniform float hsv_saturation;\n\tuniform float hsv_brightness;\n\tvec3 hsv2rgb(vec3 c)\n\t{\n\t\tvec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0);\n\t\tvec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www);\n\t\treturn c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y);\n\t}\n\tvec3 rgb2hsv(vec3 c)\n\t{\n\t\tvec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0);\n\t\tvec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, K.xy), step(c.b, c.g));\n\t\tvec4 q = mix(vec4(p.xyw, c.r), vec4(c.r, p.yzx), step(p.x, c.r));\n\n\t\tfloat d = q.x - min(q.w, q.y);\n\t\tfloat e = 1.0e-10;\n\t\treturn vec3(abs(q.z + (q.w - q.y) / (6.0 * d + e)), d / (q.x + e), q.x);\n\t}\n#endif\n\n#ifdef USF_USE_POSTERIZE\n\tuniform vec4 posterize_levels;\n\tvec4 posterize(vec4 color, vec4 levels) \n\t{\n\t\treturn vec4(\n\t\t\tlevels.x > 1. ? floor(color.r * levels.x) / levels.x : color.r,\n\t\t\tlevels.y > 1. ? floor(color.g * levels.y) / levels.y : color.g,\n\t\t\tlevels.z > 1. ? floor(color.b * levels.z) / levels.z : color.b,\n\t\t\tlevels.w > 1. ? floor(color.a * levels.w) / levels.w : color.a\n\t\t);\n\t}\n#endif\n\n#ifdef USF_USE_GRAYSCALE\n\tuniform vec3 grayscale_weight;\n\tuniform bool grayscale_duotone;\n\tuniform vec3 grayscale_duotone_color0;\n\tuniform vec3 grayscale_duotone_color1;\n\tuniform float grayscale_threshold;\n#endif","vec2 calcSrcUv(vec2 uv, vec2 fitScale) {\n\treturn uv * fitScale + (1.0 - fitScale) * .5;\n}","import plane_vertex from \"./ShaderChunk/plane_vertex.glsl\";\nimport srcSystem_pars_vertex from \"./ShaderChunk/srcSystem_pars_vertex.glsl\";\nimport srcSystem_pars_fragment from \"./ShaderChunk/srcSystem_pars_fragment.glsl\";\nimport default_vertex from \"./ShaderChunk/default_vertex.glsl\";\nimport default_pars_vertex from \"./ShaderChunk/default_pars_vertex.glsl\";\nimport default_pars_fragment from \"./ShaderChunk/default_pars_fragment.glsl\";\nimport mixSrc_pars_vertex from \"./ShaderChunk/mixSrc_pars_vertex.glsl\";\nimport mixSrc_vertex from \"./ShaderChunk/mixSrc_vertex.glsl\";\nimport mixSrc_pars_fragment from \"./ShaderChunk/mixSrc_pars_fragment.glsl\";\nimport mixSrc_fragment_begin from \"./ShaderChunk/mixSrc_fragment_begin.glsl\";\nimport mixSrc_fragment_end from \"./ShaderChunk/mixSrc_fragment_end.glsl\";\nimport mixDst_pars_vertex from \"./ShaderChunk/mixDst_pars_vertex.glsl\";\nimport mixDst_vertex from \"./ShaderChunk/mixDst_vertex.glsl\";\nimport mixDst_pars_fragment from \"./ShaderChunk/mixDst_pars_fragment.glsl\";\nimport mixDst_fragment from \"./ShaderChunk/mixDst_fragment.glsl\";\nimport texture_vertex from \"./ShaderChunk/texture_vertex.glsl\";\nimport texture_pars_vertex from \"./ShaderChunk/texture_pars_vertex.glsl\";\nimport texture_pars_fragment from \"./ShaderChunk/texture_pars_fragment.glsl\";\nimport adjustments_fragment from \"./ShaderChunk/adjustments_fragment.glsl\";\nimport adjustments_pars_fragment from \"./ShaderChunk/adjustments_pars_fragment.glsl\";\nimport calcSrcUv from \"./ShaderChunk/calcSrcUv.glsl\";\n\nexport type ShaderChunkTypes =\n | \"default_pars_fragment\"\n | \"srcSystem_pars_vertex\"\n | \"srcSystem_pars_fragment\"\n | \"default_pars_vertex\"\n | \"default_vertex\"\n | \"plane_vertex\"\n | \"mixSrc_fragment_begin\"\n | \"mixSrc_fragment_end\"\n | \"mixSrc_pars_fragment\"\n | \"mixSrc_pars_vertex\"\n | \"mixSrc_vertex\"\n | \"mixDst_fragment\"\n | \"mixDst_pars_fragment\"\n | \"mixDst_pars_vertex\"\n | \"mixDst_vertex\"\n | \"texture_pars_fragment\"\n | \"texture_pars_vertex\"\n | \"texture_vertex\"\n | \"adjustments_fragment\"\n | \"adjustments_pars_fragment\"\n | \"calcSrcUv\";\n\nexport const ShaderChunk: { [K in ShaderChunkTypes]: string } = Object.freeze({\n plane_vertex,\n srcSystem_pars_vertex,\n srcSystem_pars_fragment,\n default_vertex,\n default_pars_vertex,\n default_pars_fragment,\n mixSrc_vertex,\n mixSrc_pars_vertex,\n mixSrc_pars_fragment,\n mixSrc_fragment_begin,\n mixSrc_fragment_end,\n mixDst_pars_vertex,\n mixDst_vertex,\n mixDst_pars_fragment,\n mixDst_fragment,\n texture_vertex,\n texture_pars_vertex,\n texture_pars_fragment,\n adjustments_fragment,\n adjustments_pars_fragment,\n calcSrcUv,\n});\n","import { ShaderLib } from \"./ShaderLib\";\nimport { ShaderChunk, ShaderChunkTypes } from \"./ShaderChunk\";\n\n/** merge shader codes */\nexport function mergeShaderCode(prefix: string[]): string {\n return prefix.filter((string) => string !== \"\").join(\"\\n\");\n}\n\n/*===============================================\nMEMO\n- SamplingFxMaterialをさらに拡張する場合（例えばuseTextureTransitionとかで、複数のtextureのfitScaleが必要な場合）、ここでShaderLibTypeを追加する。\n===============================================*/\n\nexport type ShaderLibType = \"default\" | \"basicFx\" | \"samplingFx\";\n/**\n * merge ShaderLib to shader\n * basicFx_fragment_begin, basicFx_fragment_endは含まない。これらは各FXでカスタマイズする必要があるため。\n */\nexport function mergeShaderLib(\n vertexShader: string | undefined,\n fragmentShader: string | undefined,\n type: ShaderLibType\n): [string | undefined, string | undefined] {\n let vertex,\n fragment = undefined;\n\n const ShaderLibs = {\n default: {\n vertexPars: ShaderLib.default_pars_vertex,\n vertexMain: ShaderLib.default_vertex,\n fragmentPars: ShaderLib.default_pars_fragment,\n },\n basicFx: {\n vertexPars: ShaderLib.basicFx_pars_vertex,\n vertexMain: ShaderLib.basicFx_vertex,\n fragmentPars: ShaderLib.basicFx_pars_fragment,\n },\n samplingFx: {\n vertexPars: mergeShaderCode([\n ShaderLib.basicFx_pars_vertex,\n ShaderLib.samplingFx_pars_vertex,\n ]),\n vertexMain: mergeShaderCode([\n ShaderLib.basicFx_vertex,\n ShaderLib.samplingFx_vertex,\n ]),\n fragmentPars: mergeShaderCode([\n ShaderLib.basicFx_pars_fragment,\n ShaderLib.samplingFx_pars_fragment,\n ]),\n },\n };\n\n const vertexPars = ShaderLibs[type].vertexPars;\n const vertexMain = ShaderLibs[type].vertexMain;\n const fragmentPars = ShaderLibs[type].fragmentPars;\n\n if (vertexShader) {\n vertex = mergeShaderCode([vertexPars, vertexShader]);\n vertex = vertex.replace(\n /void\\s+main\\s*\\(\\)\\s*\\{/,\n `void main() {\\n${vertexMain}`\n );\n }\n\n if (fragmentShader) {\n fragment = mergeShaderCode([fragmentPars, fragmentShader]);\n }\n\n return [vertex, fragment];\n}\n\nconst includePattern = /^[ \\t]*#usf +<([\\w\\d./]+)>/gm;\nfunction includeReplacer(match: string, include: ShaderChunkTypes): string {\n return resolveIncludes(ShaderChunk[include] || \"\");\n}\n/** Resolve Includes */\nexport function resolveIncludes(string: string): string {\n return string.replace(includePattern, includeReplacer);\n}\n","import * as THREE from \"three\";\nimport { warn } from \"../utils\";\nimport { THREE_FLAG_PROPS } from \"../libs/constants\";\n\nexport type Uniforms = { [uniform: string]: THREE.IUniform<any> };\n\n/** typescriptトリックで{}を許容しているが、実際にuniformに渡る際にはbooleanのみ */\nexport type UniformParentKey = boolean | {};\n\nexport type ShaderWithUniforms = {\n uniforms?: Uniforms;\n vertexShader?: string;\n fragmentShader?: string;\n};\n\n/**\n * test:{value:number} => test:number\n * materialのprops型を定義する\n * materialにはuniformsのsetter/getterが定義されている.その型推論のため.\n */\nexport type ExtractUniformValues<T> = {\n [K in keyof T]?: T[K] extends { value: infer U } ? U : never;\n};\n\n/**\n * test_test:{value:number} => { test: { test: number | (value:number)=>number } }\n */\ntype Nest<K extends string, V> = K extends `${infer First}_${infer Rest}`\n ? { [P in First]?: Nest<Rest, V> }\n : { [P in K]?: V | ((value: V) => V) };\n\ntype UnionToIntersection<U> = (U extends any ? (k: U) => void : never) extends (\n k: infer I\n) => void\n ? I\n : never;\nexport type NestUniformValues<U extends Uniforms> = UnionToIntersection<\n { [K in keyof U]: Nest<Extract<K, string>, U[K][\"value\"]> }[keyof U]\n>;\n\n/**\n * Determines whether the given property is a three.js object by checking for the presence\n * of known boolean flag properties (e.g., `isTexture`, `isVector2`, etc.) that are typically\n * set to true on three.js instances.\n */\nfunction isTHREE(property: any) {\n return property && THREE_FLAG_PROPS.some((prop) => property[prop] === true);\n}\n\n/**\n * {test:{test:1}} => {test_test:1} に変換する\n * この時、条件分岐用uniform値として親のkey{test:true}を追加する\n */\nexport function flattenUniformValues(\n obj: Record<string, any>\n): Record<string, any> {\n const flatObject: Record<string, any> = {};\n\n const flatten = (currentObj: any, parentKey = \"\"): void => {\n for (const [key, val] of Object.entries(currentObj)) {\n const newKey = parentKey ? `${parentKey}_${key}` : key;\n if (\n val &&\n typeof val === \"object\" &&\n !Array.isArray(val) &&\n !isTHREE(val)\n ) {\n (flatObject[newKey] as UniformParentKey) = true; // 親のkey{test:true}を追加する\n flatten(val, newKey);\n } else {\n if (flatObject.hasOwnProperty(newKey)) {\n warn(`${newKey} already exists and will be overwritten.`);\n }\n flatObject[newKey] = val;\n }\n }\n };\n\n flatten(obj);\n return flatObject;\n}\n","import * as THREE from \"three\";\nimport { resolveIncludes, mergeShaderLib } from \"../../shaders/shaderUtils\";\nimport {\n flattenUniformValues,\n ShaderWithUniforms,\n} from \"../../shaders/uniformsUtils\";\nimport { warn } from \"../../utils\";\n\nexport type DefaultUniforms = {\n resolution: { value: THREE.Vector2 };\n texelSize: { value: THREE.Vector2 };\n aspectRatio: { value: number };\n maxAspect: { value: THREE.Vector2 };\n renderCount: { value: number };\n};\n\nexport type FxMaterialProps<T = {}> = {\n uniformValues?: T;\n materialParameters?: THREE.ShaderMaterialParameters;\n customParameters?: { [key: string]: any };\n} & ShaderWithUniforms;\n\nexport class FxMaterial extends THREE.ShaderMaterial {\n public static readonly key: string = THREE.MathUtils.generateUUID();\n\n constructor({\n uniformValues,\n materialParameters = {},\n uniforms,\n vertexShader,\n fragmentShader,\n }: FxMaterialProps = {}) {\n super(materialParameters);\n\n this.uniforms = {\n resolution: { value: new THREE.Vector2() },\n texelSize: { value: new THREE.Vector2() },\n aspectRatio: { value: 0 },\n maxAspect: { value: new THREE.Vector2() },\n // 一部のFXでiterationをカウントする必要があるため\n renderCount: { value: 0 },\n ...uniforms,\n } as DefaultUniforms;\n\n this._setupShaders(vertexShader, fragmentShader);\n\n this.setUniformValues(uniformValues);\n\n this._defineUniformAccessors();\n }\n\n /** This is updated in useFxScene */\n public updateResolution(width: number, height: number) {\n const maxAspect = Math.max(width, height);\n this.uniforms.resolution.value.set(width, height);\n this.uniforms.texelSize.value.set(1 / width, 1 / height);\n this.uniforms.aspectRatio.value = width / height;\n this.uniforms.maxAspect.value.set(maxAspect / width, maxAspect / height);\n }\n\n protected _setupShaders(vertexShader?: string, fragmentShader?: string) {\n if (!vertexShader && !fragmentShader) return;\n\n const [vertex, fragment] = mergeShaderLib(\n vertexShader,\n fragmentShader,\n \"default\"\n );\n this.vertexShader = vertex ? resolveIncludes(vertex) : this.vertexShader;\n this.fragmentShader = fragment\n ? resolveIncludes(fragment)\n : this.fragmentShader;\n }\n\n public setUniformValues(values?: { [key: string]: any }) {\n if (values === undefined) return;\n const flattenedValues = flattenUniformValues(values);\n\n for (const [key, value] of Object.entries(flattenedValues)) {\n if (value === undefined) {\n warn(`parameter '${key}' has value of undefined.`);\n continue;\n }\n\n const curretUniform = this.uniforms[key];\n\n if (curretUniform === undefined) {\n warn(`'${key}' is not a uniform property of ${this.type}.`);\n continue;\n }\n\n curretUniform.value =\n typeof value === \"function\" ? value(curretUniform.value) : value;\n }\n\n return flattenedValues;\n }\n\n /** define getter/setters　*/\n protected _defineUniformAccessors(onSet?: () => void) {\n for (const key of Object.keys(this.uniforms)) {\n if (this.hasOwnProperty(key)) {\n warn(`'${key}' is already defined in ${this.type}.`);\n continue;\n }\n Object.defineProperty(this, key, {\n get: () => this.uniforms[key].value,\n set: (v) => {\n this.uniforms[key].value = v;\n onSet?.();\n },\n });\n }\n }\n}\n","import * as THREE from \"three\";\nimport { FxMaterial, FxMaterialProps } from \"./FxMaterial\";\nimport { mergeShaderLib } from \"../../shaders/shaderUtils\";\nimport * as BasicFxLib from \"./BasicFxLib\";\n\nexport class BasicFxMaterial extends FxMaterial {\n fxKey: BasicFxLib.FxKey;\n\n uniforms!: BasicFxLib.BasicFxUniforms;\n programCache: number;\n\n constructor({\n uniforms,\n vertexShader,\n fragmentShader,\n ...rest\n }: FxMaterialProps<BasicFxLib.BasicFxValues> = {}) {\n super({\n ...rest,\n uniforms: {\n ...THREE.UniformsUtils.clone(BasicFxLib.BASICFX_VALUES),\n ...uniforms,\n },\n });\n\n this.defines = {\n ...rest?.materialParameters?.defines,\n };\n\n this.programCache = 0;\n\n this.fxKey = this._setupFxKey(this.uniforms);\n\n this._setupFxShaders(vertexShader, fragmentShader);\n }\n\n private _setupFxShaders(vertexShader?: string, fragmentShader?: string) {\n if (!vertexShader && !fragmentShader) return;\n\n this._updateFxDefines();\n\n const [vertex, fragment] = this._handleMergeShaderLib(\n vertexShader,\n fragmentShader\n );\n\n super._setupShaders(vertex, fragment);\n }\n\n /** SamplingFxMaterialで継承するため、handlerとして独立させる */\n protected _handleMergeShaderLib(\n vertexShader?: string,\n fragmentShader?: string\n ) {\n return mergeShaderLib(vertexShader, fragmentShader, \"basicFx\");\n }\n\n private _updateFxShaders() {\n // FxMaterialの初期化時にsetUniformValuesが呼ばれるが、isContainsBasicFxValuesがtrueを返すと、このメソッドが実行されてしまう。BasicFxMaterialの初期化前にはこの処理をスキップする。\n if (!this.fxKey) return;\n\n const _cache = this.programCache;\n\n const { diffCount, newFxKey } = this._handleUpdateFxShaders();\n\n this.programCache += diffCount;\n this.fxKey = newFxKey;\n\n if (_cache !== this.programCache) {\n this._updateFxDefines();\n this.needsUpdate = true;\n }\n }\n\n /** SamplingFxMaterialで継承するため、handlerとして独立させる */\n protected _handleUpdateFxShaders(): {\n diffCount: number;\n newFxKey: BasicFxLib.FxKey;\n } {\n const newFxKey = BasicFxLib.getFxKeyFromUniforms(this.uniforms);\n const diffCount = (\n Object.keys(newFxKey) as (keyof BasicFxLib.FxKey)[]\n ).filter((key) => this.fxKey[key] !== newFxKey[key]).length;\n return {\n diffCount,\n newFxKey,\n };\n }\n\n private _updateFxDefines() {\n Object.assign(this.defines, this._handleUpdateFxDefines());\n }\n\n /** SamplingFxMaterialで継承するため、handlerとして独立させる */\n protected _handleUpdateFxDefines(): {\n [key: string]: any;\n } {\n return BasicFxLib.handleUpdateFxDefines(this.fxKey);\n }\n\n protected _isContainsBasicFxValues(\n target?: { [key: string]: any },\n source?: { [key: string]: any }\n ): boolean {\n if (!target) return false;\n return Object.keys(target).some((key) =>\n Object.keys(source ?? BasicFxLib.BASICFX_VALUES).includes(key)\n );\n }\n\n protected _setupFxKey(\n uniforms: BasicFxLib.BasicFxUniforms\n ): BasicFxLib.FxKey {\n return BasicFxLib.getFxKeyFromUniforms(uniforms);\n }\n\n /*===============================================\n\tFit Scale\n\t===============================================*/\n private _calcFitScale(\n src: THREE.Texture,\n fitType: BasicFxLib.FitType\n ): THREE.Vector2 {\n let srcAspectRatio = 1;\n const fitScale = new THREE.Vector2(1, 1);\n const baseAspectRatio = this.uniforms.aspectRatio.value;\n\n const sourceData = src?.source?.data;\n\n if (sourceData?.width && sourceData?.height) {\n srcAspectRatio = sourceData.width / sourceData.height;\n } else {\n srcAspectRatio = baseAspectRatio;\n }\n\n if (fitType === 1) {\n fitScale.set(\n Math.min(baseAspectRatio / srcAspectRatio, 1),\n Math.min(srcAspectRatio / baseAspectRatio, 1)\n );\n } else if (fitType === 2) {\n fitScale.set(\n Math.max(baseAspectRatio / srcAspectRatio, 1),\n Math.max(srcAspectRatio / baseAspectRatio, 1)\n );\n }\n\n return fitScale;\n }\n\n protected _setFitScale(key: BasicFxLib.SrcSystemKey) {\n const uniforms = this.uniforms as any;\n uniforms[`${key}_fitScale`].value = this._calcFitScale(\n uniforms[`${key}_src`].value,\n uniforms[`${key}_fit`].value\n );\n }\n\n protected _updateFitScale() {\n if (this.fxKey?.mixSrc) this._setFitScale(\"mixSrc\");\n if (this.fxKey?.mixDst) this._setFitScale(\"mixDst\");\n }\n\n /*===============================================\n\tsuper FxMaterial\n\t===============================================*/\n /**\n * @param needsUpdate default : `true`\n */\n public setUniformValues(\n values?: { [key: string]: any },\n needsUpdate: boolean = true\n ) {\n const flattenedValues = super.setUniformValues(values);\n if (needsUpdate && this._isContainsBasicFxValues(flattenedValues)) {\n this._updateFxShaders();\n this._updateFitScale();\n }\n return flattenedValues;\n }\n\n protected _defineUniformAccessors(onSet?: () => void) {\n super._defineUniformAccessors(() => {\n this._updateFxShaders();\n this._updateFitScale();\n onSet?.();\n });\n }\n\n public updateResolution(width: number, height: number): void {\n super.updateResolution(width, height);\n this._updateFitScale();\n }\n}\n","import * as THREE from \"three\";\nimport { noiseFragment, noiseVertex } from \"./noise.glsl\";\nimport { BasicFxMaterial } from \"../../core/BasicFxMaterial\";\nimport { FxMaterialProps } from \"../../core/FxMaterial\";\nimport { BasicFxUniforms, BasicFxValues } from \"../../core/BasicFxLib\";\nimport {\n ExtractUniformValues,\n NestUniformValues,\n} from \"../../../shaders/uniformsUtils\";\n\ntype NoiseUniforms = {\n /** useBeatを渡せば、リズムを変えられる。 */\n tick: { value: number };\n /** noise scale , default : `0.004` */\n scale: { value: number };\n /** time factor default : `0.3` */\n timeStrength: { value: number };\n /** noiseOctaves, affects performance default : `2` */\n noiseOctaves: { value: number };\n /** fbmOctaves, affects performance default : `2` */\n fbmOctaves: { value: number };\n /** domain warping octaves , affects performance default : `2` */\n warpOctaves: { value: number };\n /** direction of domain warping , default : `(2.0,2,0)` */\n warpDirection: { value: THREE.Vector2 };\n /** strength of domain warping , default : `8.0` */\n warpStrength: { value: number };\n /** offset of the time */\n timeOffset: { value: number };\n} & BasicFxUniforms;\n\nexport type NoiseValues = NestUniformValues<NoiseUniforms> & BasicFxValues;\n\nexport type NoiseMaterialProps = ExtractUniformValues<NoiseUniforms>;\n\nexport class NoiseMaterial extends BasicFxMaterial {\n public static readonly key: string = THREE.MathUtils.generateUUID();\n\n static get type() {\n return \"NoiseMaterial\";\n }\n\n uniforms!: NoiseUniforms;\n\n constructor(props: FxMaterialProps<NoiseValues> = {}) {\n super({\n ...props,\n vertexShader: noiseVertex,\n fragmentShader: noiseFragment,\n uniforms: {\n tick: { value: 0.0 },\n scale: { value: 0.03 },\n timeStrength: { value: 0.3 },\n noiseOctaves: { value: 2 },\n fbmOctaves: { value: 2 },\n warpOctaves: { value: 2 },\n warpDirection: { value: new THREE.Vector2(2.0, 2.0) },\n warpStrength: { value: 8 },\n timeOffset: { value: 0 },\n } as NoiseUniforms,\n });\n this.type = NoiseMaterial.type;\n }\n}\n","const boxVarying = `\n\tuniform bool bounce;\n\tvarying vec2 vL;\n\tvarying vec2 vR;\n\tvarying vec2 vT;\n\tvarying vec2 vB;\n`;\n\nconst getPosition = (bounce: boolean = true) => {\n return `\n\t\tvec3 pos = position;\n\t\tvec2 scale = ${\n bounce ? \"bounce ? vec2(1.,1.) : 1.-texelSize*2.\" : \"1.-texelSize*2.\"\n };\n\t\tpos.xy = pos.xy * scale;\n\t\tvUv = vec2(.5)+(pos.xy)*.5;\n\t`;\n};\n\nconst getBoxCompute = (diff: string) => {\n return `\n\t\tvL = vUv - vec2(texelSize.x * ${diff}, 0.0);\n\t\tvR = vUv + vec2(texelSize.x * ${diff}, 0.0);\n\t\tvT = vUv + vec2(0.0, texelSize.y * ${diff});\n\t\tvB = vUv - vec2(0.0, texelSize.y * ${diff});\n\t`;\n};\n\nconst vertex = {\n main: `\n\t\t${boxVarying}\n\n\t\tvoid main(){\n\t\t\n\t\t\t${getPosition()}\n\t\t\t${getBoxCompute(\"1.\")}\n\n\t\t\tgl_Position = vec4(pos, 1.0);\n\t\t}\n\t`,\n poisson: `\n\t\t${boxVarying}\n\t\t\n\t\tvoid main(){\n\n\t\t\t${getPosition()}\n\t\t\t${getBoxCompute(\"2.\")}\n\n\t\t\tgl_Position = vec4(pos, 1.0);\n\t\t}\n\t`,\n advection: `\n\t\tvoid main(){\n\t\t\t${getPosition(false)}\n\t\t\tgl_Position = vec4(pos, 1.0);\n\t\t}\n\t`,\n splat: `\n\t\tuniform vec2 center;\n\t\tuniform vec2 radius;\n\t\tvoid main(){\t\t\n\t\t\tvec2 pos = position.xy * radius * 2.0 * texelSize + center;\n\t\t\tgl_Position = vec4(pos, 0.0, 1.0);\n\t\t}\n\t`,\n};\n\nexport default vertex;\n","uniform float deltaTime;\nuniform sampler2D velocity;\nuniform float dissipation;\n\nvoid main(){\n\tvec2 vel = texture2D(velocity, vUv).xy;\n\tvec2 uv2 = vUv - vel * deltaTime * maxAspect;\n\tvec2 newVel = texture2D(velocity, uv2).xy;\n\tgl_FragColor = vec4(dissipation * newVel, 0.0, 0.0);\n}","import * as THREE from \"three\";\nimport vertex from \"./shaders/vertex\";\nimport fragment from \"./shaders/advection.frag\";\nimport {\n FxMaterial,\n FxMaterialProps,\n} from \"../../../materials/core/FxMaterial\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\nimport { DELTA_TIME } from \".\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\n\ntype AdvectionUniforms = {\n dissipation: { value: number };\n deltaTime: { value: number };\n velocity: { value: THREE.Texture };\n};\n\nexport type AdvectionValues = NestUniformValues<AdvectionUniforms>;\nexport type AdvectionValuesClient = Omit<AdvectionValues, \"velocity\">;\n\nexport class AdvectionMaterial extends FxMaterial {\n static get type() {\n return \"AdvectionMaterial\";\n }\n\n uniforms!: AdvectionUniforms;\n\n constructor(props: FxMaterialProps<AdvectionValues>) {\n super({\n ...props,\n vertexShader: vertex.advection,\n fragmentShader: fragment,\n uniforms: {\n dissipation: { value: 0.99 },\n velocity: { value: DEFAULT_TEXTURE },\n deltaTime: { value: DELTA_TIME },\n } as AdvectionUniforms,\n });\n this.type = AdvectionMaterial.type;\n }\n}\n","uniform float deltaTime;\nuniform sampler2D velocity;\n\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\n\nvoid main(){\n float L = texture2D(velocity, vL).r;\n float R = texture2D(velocity, vR).r;\n float B = texture2D(velocity, vB).g;\n float T = texture2D(velocity, vT).g;\n\t \n float divergence = (R-L + T-B) / 2.0;\n gl_FragColor = vec4(divergence / deltaTime);\n}\n","import * as THREE from \"three\";\nimport vertex from \"./shaders/vertex\";\nimport fragment from \"./shaders/divergence.frag\";\nimport {\n FxMaterial,\n FxMaterialProps,\n} from \"../../../materials/core/FxMaterial\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\nimport { DELTA_TIME } from \".\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\n\ntype DivergenceUniforms = {\n bounce: { value: boolean };\n deltaTime: { value: number };\n velocity: { value: THREE.Texture };\n};\n\nexport type DivergenceValues = NestUniformValues<DivergenceUniforms>;\nexport type DivergenceValuesClient = Omit<DivergenceValues, \"velocity\">;\n\nexport class DivergenceMaterial extends FxMaterial {\n static get type() {\n return \"DivergenceMaterial\";\n }\n\n uniforms!: DivergenceUniforms;\n\n constructor(props: FxMaterialProps<DivergenceValues>) {\n super({\n ...props,\n vertexShader: vertex.main,\n fragmentShader: fragment,\n uniforms: {\n bounce: { value: true },\n velocity: { value: DEFAULT_TEXTURE },\n deltaTime: { value: DELTA_TIME },\n } as DivergenceUniforms,\n });\n\n this.type = DivergenceMaterial.type;\n }\n}\n","uniform float deltaTime;\nuniform sampler2D pressure;\nuniform sampler2D velocity;\n\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\n\nvoid main(){\n\n\tfloat L = texture2D(pressure, vL).r;\n\tfloat R = texture2D(pressure, vR).r;\n\tfloat B = texture2D(pressure, vB).r;\n\tfloat T = texture2D(pressure, vT).r;\n\n\tvec2 v = texture2D(velocity, vUv).xy;\n\tvec2 gradP = vec2(R - L, T - B) * 0.5;\n\tv = v - gradP * deltaTime;\n\n\tgl_FragColor = vec4(v, 0.0, 1.0);\n\n}","import * as THREE from \"three\";\nimport vertex from \"./shaders/vertex\";\nimport fragment from \"./shaders/pressure.frag\";\nimport {\n FxMaterial,\n FxMaterialProps,\n} from \"../../../materials/core/FxMaterial\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\nimport { DELTA_TIME } from \".\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\n\ntype PressureUniforms = {\n bounce: { value: boolean };\n deltaTime: { value: number };\n pressure: { value: THREE.Texture };\n velocity: { value: THREE.Texture };\n};\n\nexport type PressureValues = NestUniformValues<PressureUniforms>;\nexport type PressureValuesClient = Omit<\n PressureValues,\n \"velocity\" | \"pressure\"\n>;\n\nexport class PressureMaterial extends FxMaterial {\n static get type() {\n return \"PressureMaterial\";\n }\n\n uniforms!: PressureUniforms;\n\n constructor(props: FxMaterialProps<PressureValues>) {\n super({\n ...props,\n vertexShader: vertex.main,\n fragmentShader: fragment,\n uniforms: {\n bounce: { value: true },\n deltaTime: { value: DELTA_TIME },\n pressure: { value: DEFAULT_TEXTURE },\n velocity: { value: DEFAULT_TEXTURE },\n } as PressureUniforms,\n });\n\n this.type = PressureMaterial.type;\n }\n}\n","uniform sampler2D pressure;\nuniform sampler2D divergence;\n\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\n\nvoid main(){ \n\n\tfloat L = texture2D(pressure, vL).r;\n\tfloat R = texture2D(pressure, vR).r;\n\tfloat B = texture2D(pressure, vB).r;\n\tfloat T = texture2D(pressure, vT).r;\n\n\tfloat div = texture2D(divergence, vUv).r;\n\t\n\tfloat newP = (L + R + B + T) / 4.0 - div;\n\n\tgl_FragColor = vec4(newP);\n}\n","import * as THREE from \"three\";\nimport vertex from \"./shaders/vertex\";\nimport fragment from \"./shaders/poisson.frag\";\nimport {\n FxMaterial,\n FxMaterialProps,\n} from \"../../../materials/core/FxMaterial\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\n\ntype PoissonUniforms = {\n bounce: { value: boolean };\n pressure: { value: THREE.Texture };\n divergence: { value: THREE.Texture };\n};\n\nexport type PoissonValues = NestUniformValues<PoissonUniforms>;\nexport type PoissonValuesClient = Omit<\n PoissonValues,\n \"pressure\" | \"divergence\"\n>;\n\nexport class PoissonMaterial extends FxMaterial {\n static get type() {\n return \"PoissonMaterial\";\n }\n\n uniforms!: PoissonUniforms;\n\n iterations: number;\n\n constructor({ customParameters, ...rest }: FxMaterialProps<PoissonValues>) {\n super({\n ...rest,\n vertexShader: vertex.poisson,\n fragmentShader: fragment,\n uniforms: {\n bounce: { value: true },\n pressure: { value: DEFAULT_TEXTURE },\n divergence: { value: DEFAULT_TEXTURE },\n } as PoissonUniforms,\n });\n this.iterations = customParameters?.iterations ?? 32;\n this.type = PoissonMaterial.type;\n }\n}\n","uniform vec2 force;\nuniform float forceBias;\n\nvoid main(){\n\tgl_FragColor = vec4(force * forceBias * pow(1.0 - clamp(2.0 * distance(vUv, vec2(0.5)), 0.0, 1.0), 2.0), 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport vertex from \"./shaders/vertex\";\nimport fragment from \"./shaders/splat.frag\";\nimport {\n FxMaterial,\n FxMaterialProps,\n} from \"../../../materials/core/FxMaterial\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\n\ntype SplatUniforms = {\n forceBias: { value: number };\n radius: { value: THREE.Vector2 };\n force: { value: THREE.Vector2 };\n center: { value: THREE.Vector2 };\n};\n\nexport type SplatValues = NestUniformValues<SplatUniforms>;\nexport type SplatValuesClient = Omit<SplatValues, \"force\" | \"center\">;\n\nexport class SplatMaterial extends FxMaterial {\n static get type() {\n return \"SplatMaterial\";\n }\n\n uniforms!: SplatUniforms;\n\n constructor(props: FxMaterialProps) {\n super({\n ...props,\n vertexShader: vertex.splat,\n fragmentShader: fragment,\n uniforms: {\n forceBias: { value: 20 },\n radius: { value: new THREE.Vector2(50, 50) },\n force: { value: new THREE.Vector2(0, 0) },\n center: { value: new THREE.Vector2(0, 0) },\n } as SplatUniforms,\n });\n\n this.type = SplatMaterial.type;\n\n this.blending = THREE.AdditiveBlending;\n }\n}\n","import * as THREE from \"three\";\nimport { FxMaterialProps } from \"../../core/FxMaterial\";\nimport { BasicFxUniforms, BasicFxValues } from \"../../core/BasicFxLib\";\nimport { BasicFxMaterial } from \"../../core/BasicFxMaterial\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\nimport { ShaderLib } from \"../../../shaders/ShaderLib\";\n\ntype OutputUniforms = {\n src: { value: THREE.Texture };\n} & BasicFxUniforms;\n\nexport type OutputValues = NestUniformValues<OutputUniforms> & BasicFxValues;\n\nexport class OutputMaterial extends BasicFxMaterial {\n static get type() {\n return \"OutputMaterial\";\n }\n\n uniforms!: OutputUniforms;\n\n constructor(props: FxMaterialProps<OutputValues> = {}) {\n super({\n ...props,\n vertexShader: `\n\t\t\t\tvoid main() {\n\t\t\t\t\t${ShaderLib.plane_vertex}\n\t\t\t\t}\n\t\t\t`,\n fragmentShader: `\n\t\t\t\tuniform sampler2D src;\n\t\t\t\tvoid main() {\n\t\t\t\t\tvec2 usf_Uv = vUv;\n\t\t\t\t\t\n\t\t\t\t\t${ShaderLib.basicFx_fragment_begin}\n\n\t\t\t\t\tvec4 usf_FragColor = vec4(length(texture2D(src,usf_Uv).rg));\n\n\t\t\t\t\t${ShaderLib.basicFx_fragment_end}\n\n\t\t\t\t\tgl_FragColor = usf_FragColor;\n\t\t\t\t}\n\t\t\t`,\n uniforms: {\n src: { value: DEFAULT_TEXTURE },\n },\n });\n this.type = OutputMaterial.type;\n }\n}\n","export * from \"./AdvectionMaterial\";\nexport * from \"./DivergenceMaterial\";\nexport * from \"./PressureMaterial\";\nexport * from \"./PoissonMaterial\";\nexport * from \"./SplatMaterial\";\nexport * from \"./OutputMaterial\";\n\nexport const DELTA_TIME = 0.008;\n","import * as THREE from \"three\";\nimport { FxMaterialProps } from \"./FxMaterial\";\nimport {\n NestUniformValues,\n UniformParentKey,\n} from \"../../shaders/uniformsUtils\";\nimport { mergeShaderLib } from \"../../shaders/shaderUtils\";\nimport { BasicFxMaterial } from \"./BasicFxMaterial\";\nimport * as BasicFxLib from \"./BasicFxLib\";\nimport { DEFAULT_TEXTURE } from \"../../libs/constants\";\n\n/*===============================================\ntypes\n===============================================*/\ntype SamplingFxUniformsUnique = {\n texture: { value: UniformParentKey };\n texture_src: { value: THREE.Texture };\n texture_fit: { value: BasicFxLib.FitType };\n};\ntype SamplingFxUniformsFitScale = {\n texture_fitScale: { value: THREE.Vector2 };\n};\nexport type SamplingFxUniforms = SamplingFxUniformsUnique &\n BasicFxLib.BasicFxUniforms;\nexport type SamplingFxValues = NestUniformValues<SamplingFxUniforms>;\n\n/*===============================================\nconstants\n===============================================*/\nconst SAMPLINGFX_VALUES: SamplingFxUniformsUnique & SamplingFxUniformsFitScale =\n {\n texture: { value: true },\n texture_src: { value: DEFAULT_TEXTURE },\n texture_fit: { value: 0 },\n texture_fitScale: { value: new THREE.Vector2(1, 1) },\n };\n\n/**\n * SamplingFxMaterialでは常にtextureはtrueであるはずなので、BasicFxMaterialを継承して、srcSystemは常にtrueになるように、継承する\n */\nexport class SamplingFxMaterial extends BasicFxMaterial {\n uniforms!: SamplingFxUniforms;\n\n constructor({ uniforms, ...rest }: FxMaterialProps<SamplingFxValues>) {\n super({\n ...rest,\n uniforms: {\n ...THREE.UniformsUtils.clone(SAMPLINGFX_VALUES),\n ...uniforms,\n },\n });\n }\n\n protected _handleMergeShaderLib(\n vertexShader?: string,\n fragmentShader?: string\n ) {\n return mergeShaderLib(vertexShader, fragmentShader, \"samplingFx\");\n }\n\n protected _isContainsBasicFxValues(values?: {\n [key: string]: any;\n }): boolean {\n return super._isContainsBasicFxValues(values, {\n ...BasicFxLib.BASICFX_VALUES,\n ...SAMPLINGFX_VALUES,\n });\n }\n\n protected _updateFitScale() {\n super._updateFitScale();\n this._setFitScale(\"texture\");\n }\n\n protected _setupFxKey(\n uniforms: BasicFxLib.BasicFxUniforms\n ): BasicFxLib.FxKey {\n const key = super._setupFxKey(uniforms);\n key.srcSystem = true;\n return key;\n }\n\n protected _handleUpdateFxShaders(): {\n diffCount: number;\n newFxKey: BasicFxLib.FxKey;\n } {\n const { diffCount, newFxKey } = super._handleUpdateFxShaders();\n newFxKey.srcSystem = true;\n return {\n diffCount,\n newFxKey,\n };\n }\n\n protected _handleUpdateFxDefines(): {\n [key: string]: any;\n } {\n return Object.assign(super._handleUpdateFxDefines(), {\n USF_USE_TEXTURE: true,\n });\n }\n}\n","import * as THREE from \"three\";\nimport {\n SamplingFxUniforms,\n SamplingFxValues,\n SamplingFxMaterial,\n} from \"../../core/SamplingFxMaterial\";\nimport { FxMaterialProps } from \"../../core/FxMaterial\";\nimport {\n ExtractUniformValues,\n NestUniformValues,\n} from \"../../../shaders/uniformsUtils\";\nimport { ShaderLib } from \"../../../shaders/ShaderLib\";\n\n/*===============================================\nmemo\n\n- BufferMaterialはMaterialをそのまま、r3fでextendしてコンポーネントとして使うケースが考えられる\nので、keyを持たせる\n- また、globalで型定義する\n===============================================*/\n\ntype BufferUniforms = SamplingFxUniforms;\n\nexport type BufferValues = NestUniformValues<BufferUniforms> & SamplingFxValues;\n\nexport type BufferMaterialProps = ExtractUniformValues<BufferUniforms>;\n\nexport class BufferMaterial extends SamplingFxMaterial {\n public static readonly key: string = THREE.MathUtils.generateUUID();\n\n static get type() {\n return \"BufferMaterial\";\n }\n\n uniforms!: BufferUniforms;\n\n constructor(props: FxMaterialProps<BufferValues> = {}) {\n super({\n ...props,\n vertexShader: `\n\t\t\t\tvoid main() {\n\t\t\t\t\t${ShaderLib.plane_vertex}\n\t\t\t\t}\n\t\t\t`,\n fragmentShader: `\n\t\t\t\tvoid main() {\n\t\t\t\t\tvec2 usf_Uv = vTextureCoverUv;\n\n\t\t\t\t\t${ShaderLib.basicFx_fragment_begin}\n\n\t\t\t\t\tvec4 usf_FragColor = fitTexture(texture_src,usf_Uv,texture_fit);\n\n\t\t\t\t\t${ShaderLib.basicFx_fragment_end}\n\n\t\t\t\t\tgl_FragColor = usf_FragColor;\n\t\t\t\t}\n\t\t\t`,\n });\n\n this.type = BufferMaterial.type;\n }\n}\n\ndeclare global {\n namespace JSX {\n interface IntrinsicElements {\n bufferMaterial: BufferMaterialProps & {\n ref?: React.RefObject<BufferMaterial>;\n key?: React.Key;\n };\n }\n }\n}\n","import { FxMaterial, FxMaterialProps } from \"../../core/FxMaterial\";\n\nexport class RawBlankMaterial extends FxMaterial {\n static get type() {\n return \"RawBlankMaterial\";\n }\n constructor(props: FxMaterialProps) {\n super(props);\n this.type = RawBlankMaterial.type;\n }\n}\n","import * as THREE from \"three\";\nimport {\n DefaultUniforms,\n FxMaterial,\n FxMaterialProps,\n} from \"../../core/FxMaterial\";\nimport { mergeShaderCode } from \"../../../shaders/shaderUtils\";\n\ntype BlankUniforms = {\n time: { value: number };\n pointer: { value: THREE.Vector2 };\n backbuffer: { value: THREE.Texture };\n} & DefaultUniforms;\n\nconst SHADER_PARS = `\n\tuniform float time;\n\tuniform vec2 pointer;\n\tuniform sampler2D backbuffer;\n`;\n\nexport class BlankMaterial extends FxMaterial {\n static get type() {\n return \"BlankMaterial\";\n }\n\n uniforms!: BlankUniforms;\n\n constructor({\n vertexShader,\n fragmentShader,\n uniforms,\n ...rest\n }: FxMaterialProps) {\n super({\n ...rest,\n vertexShader:\n vertexShader && mergeShaderCode([SHADER_PARS, vertexShader]),\n fragmentShader:\n fragmentShader && mergeShaderCode([SHADER_PARS, fragmentShader]),\n uniforms: {\n time: { value: 0.0 },\n pointer: { value: new THREE.Vector2() },\n backbuffer: { value: new THREE.Texture() },\n ...uniforms,\n } as BlankUniforms,\n });\n this.type = BlankMaterial.type;\n }\n}\n","import { ShaderLib } from \"../../../shaders/ShaderLib\";\n\nexport const gridVertex = `\n\tvoid main() {\n\t\t${ShaderLib.plane_vertex}\n\t}\n`;\n\nexport const gridFragment = `\n\tuniform vec2 count;\n\tuniform bool autoScale;\n\tuniform float tick;\n\tuniform bool shuffle;\n\tuniform float shuffle_frequency;\n\tuniform float shuffle_range;\n\n\tuniform bool sprite;\n\tuniform sampler2D sprite_src;\n\tuniform float sprite_length;\n\tuniform float sprite_shuffleSpeed;\n\n\tfloat hash(vec2 p) {\n\t\treturn fract(sin(dot(p, vec2(12.9898, 78.233))) * 43758.5453);\n\t}\n\n\tvec2 shuffleIndex(vec2 cellIndex , vec2 count) {\n\n\t\tfloat discreteTime = floor(tick * shuffle_frequency);\n\n\t\tfloat r1 = hash(cellIndex + vec2(0.123, discreteTime));\n\t\tfloat r2 = hash(cellIndex + vec2(0.789, discreteTime));\n\n\t\t// -range ~ +range\n\t\tfloat offsetX = floor(r1 * (shuffle_range * 2.0 + 1.0)) - shuffle_range;\n\t\tfloat offsetY = floor(r2 * (shuffle_range * 2.0 + 1.0)) - shuffle_range;\n\t\tvec2 offset = vec2(offsetX, offsetY);\n\n\t\treturn mod(cellIndex + offset, count);\n\t}\n\n\tvoid main() {\n\t\tvec2 usf_Uv = vUv;\n\t\t${ShaderLib.basicFx_fragment_begin}\n\n\t\tvec2 n_count = count;\n\t\tn_count.x *= autoScale ? aspectRatio : 1.;\n\n\t\tvec2 cellIndex = ceil(usf_Uv * n_count);\n\n\t\tvec2 shuffledIndex = shuffle ? shuffleIndex(cellIndex, n_count) : cellIndex;\n\n\t\tvec2 cellCenter = calcSrcUv((shuffledIndex - .5) / n_count, texture_fitScale);\n\n\t\tvec4 gridTextureColor = fitTexture(texture_src, cellCenter, texture_fit);\n\n\t\tif(sprite){\n\t\t\tvec2 cellUv = fract(usf_Uv * n_count);\n\t\t\tfloat cellHash = hash(cellIndex);\n\t\t\tfloat spritePos = fract(cellHash + tick * sprite_shuffleSpeed);\n\t\t\tfloat spriteIndex = floor(spritePos * sprite_length);\n\t\t\tfloat spriteSize = 1.0 / sprite_length;\n\t\t\tfloat spriteOffset = spriteIndex * spriteSize;\n\t\t\tfloat spriteU = spriteOffset + cellUv.x * spriteSize;\n\t\t\tvec2 spriteUv = vec2(spriteU, cellUv.y);\n\t\t\tvec4 spriteColor = texture2D(sprite_src, spriteUv);\n\t\t\tgridTextureColor *= spriteColor;\n\t\t}\n\n\t\tvec4 usf_FragColor = gridTextureColor;\n\t\t${ShaderLib.basicFx_fragment_end}\n\n\t\tgl_FragColor = usf_FragColor;\n\n\t}\n`;\n","import * as THREE from \"three\";\nimport {\n SamplingFxUniforms,\n SamplingFxValues,\n SamplingFxMaterial,\n} from \"../../core/SamplingFxMaterial\";\nimport { FxMaterialProps } from \"../../core/FxMaterial\";\nimport {\n ExtractUniformValues,\n NestUniformValues,\n UniformParentKey,\n} from \"../../../shaders/uniformsUtils\";\nimport { gridVertex, gridFragment } from \"./grid.glsl\";\n\ntype GridUniforms = {\n /** グリッドのマス数 */\n count: { value: THREE.Vector2 };\n /** 自動で画面のアスペクト比に合わせて正方形にscaleする */\n autoScale: { value: boolean };\n /** tick */\n tick: { value: number };\n shuffle: { value: UniformParentKey };\n shuffle_frequency: { value: number };\n shuffle_range: { value: number };\n /** スプライトテクスチャ */\n sprite: { value: UniformParentKey };\n sprite_src: { value: THREE.Texture };\n sprite_length: { value: number };\n sprite_shuffleSpeed: { value: number };\n} & SamplingFxUniforms;\n\nexport type GridValues = NestUniformValues<GridUniforms> & SamplingFxValues;\n\nexport type GridMaterialProps = ExtractUniformValues<GridUniforms>;\n\nexport class GridMaterial extends SamplingFxMaterial {\n static get type() {\n return \"GridMaterial\";\n }\n\n uniforms!: GridUniforms;\n\n constructor(props: FxMaterialProps<GridValues>) {\n super({\n ...props,\n vertexShader: gridVertex,\n fragmentShader: gridFragment,\n uniforms: {\n count: { value: new THREE.Vector2(20, 20) },\n autoScale: { value: true },\n tick: { value: 0 },\n shuffle: { value: false },\n shuffle_frequency: { value: 5 },\n shuffle_range: { value: 2 },\n sprite: { value: false },\n sprite_src: { value: new THREE.Texture() },\n sprite_length: { value: 10 },\n sprite_shuffleSpeed: { value: 0 },\n } as GridUniforms,\n });\n\n this.setNearestFilter();\n\n this.type = GridMaterial.type;\n }\n\n /** When gridding with floor, you must use NearestFilter. */\n public setNearestFilter() {\n this.uniforms.texture_src.value.magFilter = THREE.NearestFilter;\n this.uniforms.texture_src.value.minFilter = THREE.NearestFilter;\n this.uniforms.sprite_src.value.magFilter = THREE.NearestFilter;\n this.uniforms.sprite_src.value.minFilter = THREE.NearestFilter;\n }\n}\n","import { useCallback } from \"react\";\nimport { useSingleFBO, getDpr, useSetup } from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport {\n NoiseMaterial,\n NoiseMaterialProps,\n NoiseValues,\n} from \"../../materials\";\n\nexport type NoiseProps = HooksProps & NoiseValues;\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useNoise = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n ...uniformValues\n}: NoiseProps): HooksReturn<\n NoiseValues,\n NoiseMaterial & NoiseMaterialProps\n> => {\n const _dpr = getDpr(dpr);\n\n const { scene, material, camera } = useSetup({\n size,\n dpr: _dpr.shader,\n material: NoiseMaterial,\n uniformValues,\n materialParameters,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n fboAutoSetSize,\n ...renderTargetOptions,\n });\n\n const setValues = useCallback(\n (newValues: NoiseValues, needsUpdate: boolean = true) => {\n material.setUniformValues(newValues, needsUpdate);\n },\n [material]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: NoiseValues) => {\n const { gl, clock } = rootState;\n newValues && setValues(newValues, false);\n material.uniforms.tick.value =\n typeof newValues?.tick === \"function\"\n ? newValues.tick(material.uniforms.tick.value)\n : newValues?.tick || clock.getElapsedTime();\n return updateRenderTarget({ gl });\n },\n [setValues, updateRenderTarget, material]\n );\n\n return {\n render,\n setValues,\n texture: renderTarget.texture,\n material,\n scene,\n camera,\n renderTarget,\n };\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { FluidMaterials } from \"../../../materials\";\nimport { SingleFBOUpdateFunction, useSetup } from \"../../../utils\";\n\nexport const useAdvection = (\n {\n size,\n dpr,\n ...uniformValues\n }: {\n size: Size;\n dpr: number | false;\n } & FluidMaterials.AdvectionValues,\n updateRenderTarget: SingleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.AdvectionMaterial,\n uniformValues,\n });\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl } = rootState;\n updateRenderTarget({ gl, scene, camera });\n },\n [updateRenderTarget, scene, camera]\n );\n\n return { render, material };\n};\n","import * as THREE from \"three\";\nimport { useCallback, useRef } from \"react\";\n\nexport type PointerValues = {\n currentPointer: THREE.Vector2;\n prevPointer: THREE.Vector2;\n diffPointer: THREE.Vector2;\n velocity: THREE.Vector2;\n isVelocityUpdate: boolean;\n};\n\ntype PointerTracker = (currentPointer: THREE.Vector2) => PointerValues;\n\n/**\n * @description When given the pointer vector2 from r3f's RootState, it generates an update function that returns {`currentPointer`, `prevPointer`, `diffPointer`, `isVelocityUpdate`, `velocity`}.\n * @description When calling custom in a `useFrame` loop, you can avoid duplication of execution by passing `pointerValues` to the update function of a Pointer-activated fxHook, such as `useBrush`.\n * @param lerp 0~1, lerp intensity (0 to less than 1) , default : `0`\n */\nexport const usePointerTracker = (lerp: number = 0): PointerTracker => {\n const prevPointer = useRef(new THREE.Vector2(0, 0));\n const diffPointer = useRef(new THREE.Vector2(0, 0));\n const lerpPointer = useRef(new THREE.Vector2(0, 0));\n const lastUpdateTime = useRef<number>(0);\n const velocity = useRef(new THREE.Vector2(0, 0));\n const isMoved = useRef(false);\n\n const pointerTracker = useCallback(\n (currentPointer: THREE.Vector2) => {\n const now = performance.now();\n\n // lerp\n let current: THREE.Vector2;\n if (isMoved.current && lerp) {\n lerpPointer.current = lerpPointer.current.lerp(\n currentPointer,\n 1 - lerp\n );\n current = lerpPointer.current.clone();\n } else {\n current = currentPointer.clone();\n lerpPointer.current = current;\n }\n\n // first frame\n if (lastUpdateTime.current === 0) {\n lastUpdateTime.current = now;\n prevPointer.current = current;\n }\n const deltaTime = Math.max(1, now - lastUpdateTime.current);\n lastUpdateTime.current = now;\n\n // get velocity\n velocity.current\n .copy(current)\n .sub(prevPointer.current)\n .divideScalar(deltaTime);\n const isUpdate = velocity.current.length() > 0;\n\n //set prev temp pos\n const prevTemp = isMoved.current\n ? prevPointer.current.clone()\n : current;\n if (!isMoved.current && isUpdate) {\n isMoved.current = true;\n }\n prevPointer.current = current;\n\n return {\n currentPointer: current,\n prevPointer: prevTemp,\n diffPointer: diffPointer.current.subVectors(current, prevTemp),\n velocity: velocity.current,\n isVelocityUpdate: isUpdate,\n };\n },\n [lerp]\n );\n\n return pointerTracker;\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { SingleFBOUpdateFunction, useSetup } from \"../../../utils\";\nimport { FluidMaterials } from \"../../../materials\";\nimport { usePointerTracker } from \"../../../misc/usePointerTracker\";\n\nexport const useSplat = (\n {\n size,\n dpr,\n ...uniformValues\n }: {\n size: Size;\n dpr: number | false;\n } & FluidMaterials.SplatValuesClient,\n updateRenderTarget: SingleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.SplatMaterial,\n geometrySize: {\n width: 1,\n height: 1,\n },\n uniformValues,\n });\n\n const pointerTracker = usePointerTracker();\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl, pointer } = rootState;\n const { currentPointer, diffPointer } = pointerTracker(pointer);\n\n material.uniforms.center.value.copy(currentPointer);\n material.uniforms.force.value.copy(diffPointer);\n\n updateRenderTarget({ gl, scene, camera, clear: false });\n },\n [updateRenderTarget, material, pointerTracker, scene, camera]\n );\n\n return { render, material };\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { FluidMaterials } from \"../../../materials\";\nimport { useSetup, SingleFBOUpdateFunction } from \"../../../utils\";\n\nexport const useDivergence = (\n {\n size,\n dpr,\n ...uniformValues\n }: {\n size: Size;\n dpr: number | false;\n } & FluidMaterials.DivergenceValues,\n updateRenderTarget: SingleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.DivergenceMaterial,\n uniformValues,\n });\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl } = rootState;\n updateRenderTarget({ gl, scene, camera });\n },\n [updateRenderTarget, scene, camera]\n );\n\n return { render, material };\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { DoubleFBOUpdateFunction, useSetup } from \"../../../utils\";\nimport { FluidMaterials } from \"../../../materials\";\n\nexport const usePoisson = (\n {\n size,\n dpr,\n pressureIterations,\n ...uniformValues\n }: {\n size: Size;\n dpr: number | false;\n pressureIterations?: number;\n } & Omit<FluidMaterials.PoissonValues, \"pressure\">,\n updateRenderTarget: DoubleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.PoissonMaterial,\n uniformValues,\n customParameters: {\n iterations: pressureIterations,\n },\n });\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl } = rootState;\n for (let i = 0; i < material.iterations; i++) {\n updateRenderTarget({ gl, scene, camera }, ({ read }) => {\n material.uniforms.pressure.value = read;\n });\n }\n },\n [updateRenderTarget, material, scene, camera]\n );\n\n return { render, material };\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { SingleFBOUpdateFunction, useSetup } from \"../../../utils\";\nimport { FluidMaterials } from \"../../../materials\";\n\nexport const usePressure = (\n {\n size,\n dpr,\n ...uniformValues\n }: {\n size: Size;\n dpr: number | false;\n } & FluidMaterials.PressureValues,\n updateRenderTarget: SingleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.PressureMaterial,\n uniformValues,\n });\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl } = rootState;\n updateRenderTarget({ gl, scene, camera });\n },\n [updateRenderTarget, scene, camera]\n );\n\n return { render, material };\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { SingleFBOUpdateFunction, useSetup } from \"../../../utils\";\nimport { FluidMaterials } from \"../../../materials\";\n\nexport const useOutput = (\n {\n size,\n dpr,\n ...values\n }: {\n size: Size;\n dpr: number | false;\n } & FluidMaterials.OutputValues,\n updateRenderTarget: SingleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.OutputMaterial,\n uniformValues: values,\n });\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl } = rootState;\n updateRenderTarget({ gl, scene, camera });\n },\n [updateRenderTarget, scene, camera]\n );\n\n return { render, material };\n};\n","import * as THREE from \"three\";\nimport { useCallback } from \"react\";\nimport { useSingleFBO, useDoubleFBO, getDpr } from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport { useAdvection } from \"./scenes/useAdvection\";\nimport { useSplat } from \"./scenes/useSplat\";\nimport { useDivergence } from \"./scenes/useDivergence\";\nimport { usePoisson } from \"./scenes/usePoisson\";\nimport { usePressure } from \"./scenes/usePressure\";\nimport { useOutput } from \"./scenes/useOutput\";\nimport { BasicFxValues, FluidMaterials } from \"../../materials\";\n\nexport type FluidValues = {\n pressureIterations?: number;\n} & BasicFxValues &\n FluidMaterials.AdvectionValuesClient &\n FluidMaterials.DivergenceValuesClient &\n FluidMaterials.PoissonValuesClient &\n FluidMaterials.PressureValuesClient &\n FluidMaterials.SplatValuesClient;\n\nexport type FluidProps = HooksProps & FluidValues;\n\nconst removeUndefined = <T extends object>(obj: T): Partial<T> =>\n Object.fromEntries(\n Object.entries(obj).filter(([, value]) => value !== undefined)\n ) as Partial<T>;\n\nconst extractValues = (values: FluidValues) => {\n const {\n dissipation,\n deltaTime,\n bounce,\n pressureIterations,\n radius,\n forceBias,\n ...basicFxValues\n } = values;\n\n return [\n {\n advection: removeUndefined({ dissipation, deltaTime }),\n divergence: removeUndefined({ bounce, deltaTime }),\n poisson: removeUndefined({ bounce }),\n pressure: removeUndefined({ bounce, deltaTime }),\n splat: removeUndefined({ radius, forceBias }),\n pressureIterations,\n },\n basicFxValues,\n ] as const;\n};\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useFluid = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n ...uniformValues\n}: FluidProps): HooksReturn<\n FluidValues,\n any,\n {\n /** velocity map */\n velocity: THREE.Texture;\n }\n> => {\n const _dpr = getDpr(dpr);\n\n // fbos\n const fboProps = {\n dpr: _dpr.fbo,\n size,\n fboAutoSetSize,\n type: THREE.HalfFloatType,\n ...renderTargetOptions,\n };\n const [velocity_0, updateVelocity_0] = useSingleFBO(fboProps);\n const [velocity_1, updateVelocity_1] = useSingleFBO(fboProps);\n const [divergenceFBO, updateDivergenceFBO] = useSingleFBO(fboProps);\n const [pressureFBO, updatePressureFBO] = useDoubleFBO(fboProps);\n const [outputFBO, updateOutputFBO] = useSingleFBO(fboProps);\n\n // scenes\n const [extractedValues, basicFxValues] = extractValues(uniformValues);\n\n const SceneSize = { size, dpr: _dpr.shader };\n const advection = useAdvection(\n {\n ...SceneSize,\n ...extractedValues.advection,\n velocity: velocity_0.texture,\n },\n updateVelocity_1\n );\n const splat = useSplat(\n {\n ...SceneSize,\n ...extractedValues.splat,\n },\n updateVelocity_1\n );\n const divergence = useDivergence(\n {\n ...SceneSize,\n ...extractedValues.divergence,\n velocity: velocity_1.texture,\n },\n updateDivergenceFBO\n );\n const poisson = usePoisson(\n {\n ...SceneSize,\n ...extractedValues.poisson,\n divergence: divergenceFBO.texture,\n pressureIterations: extractedValues.pressureIterations,\n },\n updatePressureFBO\n );\n const pressure = usePressure(\n {\n ...SceneSize,\n ...extractedValues.pressure,\n velocity: velocity_1.texture,\n pressure: pressureFBO.read.texture,\n },\n updateVelocity_0\n );\n const output = useOutput(\n {\n ...SceneSize,\n ...basicFxValues,\n src: velocity_0.texture,\n },\n updateOutputFBO\n );\n\n const setValues = useCallback(\n (newValues: FluidValues, needsUpdate: boolean = true) => {\n const [_extractedValues, _basicFxValues] = extractValues(newValues);\n\n output.material.setUniformValues(_basicFxValues, needsUpdate);\n advection.material.setUniformValues(_extractedValues.advection);\n divergence.material.setUniformValues(_extractedValues.divergence);\n poisson.material.setUniformValues(_extractedValues.poisson);\n pressure.material.setUniformValues(_extractedValues.pressure);\n splat.material.setUniformValues(_extractedValues.splat);\n if (_extractedValues.pressureIterations) {\n poisson.material.iterations = _extractedValues.pressureIterations;\n }\n },\n [output, advection, divergence, poisson, pressure, splat]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: FluidValues) => {\n newValues && setValues(newValues, false);\n\n [advection, splat, divergence, poisson, pressure, output].forEach(\n (shader) => shader?.render(rootState)\n );\n\n return outputFBO.texture;\n },\n [\n setValues,\n outputFBO.texture,\n advection,\n splat,\n divergence,\n poisson,\n pressure,\n output,\n ]\n );\n\n return {\n render,\n setValues,\n texture: outputFBO.texture,\n velocity: velocity_0.texture,\n };\n};\n","import { useCallback } from \"react\";\nimport { useSingleFBO, getDpr, useSetup } from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport {\n BufferMaterial,\n BufferMaterialProps,\n BufferValues,\n} from \"../../materials\";\n\nexport type BufferProps = HooksProps & BufferValues;\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBuffer = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n ...uniformValues\n}: BufferProps): HooksReturn<\n BufferValues,\n BufferMaterial & BufferMaterialProps\n> => {\n const _dpr = getDpr(dpr);\n\n const { scene, material, camera } = useSetup({\n size,\n dpr: _dpr.shader,\n material: BufferMaterial,\n uniformValues,\n materialParameters,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n fboAutoSetSize,\n ...renderTargetOptions,\n });\n\n const setValues = useCallback(\n (newValues: BufferValues, needsUpdate: boolean = true) => {\n material.setUniformValues(newValues, needsUpdate);\n },\n [material]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: BufferValues) => {\n const { gl } = rootState;\n newValues && setValues(newValues, false);\n return updateRenderTarget({ gl });\n },\n [setValues, updateRenderTarget]\n );\n\n return {\n render,\n setValues,\n texture: renderTarget.texture,\n material,\n scene,\n camera,\n renderTarget,\n };\n};\n","import { useCallback } from \"react\";\nimport { useSingleFBO, getDpr, useSetup } from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport { RawBlankMaterial } from \"../../materials\";\nimport { ShaderWithUniforms } from \"../../shaders/uniformsUtils\";\n\nexport type RawBlankProps = HooksProps & ShaderWithUniforms;\n\n/**\n * type DefaultUniforms = {\n resolution: { value: THREE.Vector2 };\n texelSize: { value: THREE.Vector2 };\n aspectRatio: { value: number };\n maxAspect: { value: THREE.Vector2 };\n renderCount: { value: number };\n\tはデフォルトである\n\tあとvaringでvUvつかえる\n\t\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useRawBlank = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n ...shaderWithUniforms\n}: RawBlankProps): HooksReturn<{}, RawBlankMaterial> => {\n const _dpr = getDpr(dpr);\n\n const { scene, material, camera } = useSetup({\n size,\n dpr: _dpr.shader,\n material: RawBlankMaterial,\n materialParameters,\n ...shaderWithUniforms,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n fboAutoSetSize,\n ...renderTargetOptions,\n });\n\n const setValues = useCallback(\n (newValues: {}) => {\n material.setUniformValues(newValues);\n },\n [material]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: {}) => {\n const { gl } = rootState;\n newValues && setValues(newValues);\n return updateRenderTarget({ gl });\n },\n [setValues, updateRenderTarget]\n );\n\n return {\n render,\n setValues,\n texture: renderTarget.texture,\n material,\n scene,\n camera,\n renderTarget,\n };\n};\n","import { useCallback } from \"react\";\nimport {\n useSingleFBO,\n getDpr,\n useSetup,\n useDoubleFBO,\n useMutableState,\n} from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport { BlankMaterial } from \"../../materials\";\nimport { ShaderWithUniforms } from \"../../shaders/uniformsUtils\";\n\ntype BlankConfig = {\n pointerLerp?: number;\n};\n\nexport type BlankProps = HooksProps & ShaderWithUniforms;\n\n/**\n * type DefaultUniforms = {\n resolution: { value: THREE.Vector2 };\n texelSize: { value: THREE.Vector2 };\n aspectRatio: { value: number };\n maxAspect: { value: THREE.Vector2 };\n renderCount: { value: number };\n\tはデフォルトである\n\tあとvaringでvUvつかえる\n\n\t加えて、\n\ttime\n\tpointer\n\tbackbuffer\n\tもデフォルトで使える\n\n\tあと、pointerLerp使えるよ\n\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBlank = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n pointerLerp = 1,\n ...shaderWithUniforms\n}: BlankProps & BlankConfig): HooksReturn<{}, BlankMaterial> => {\n const _dpr = getDpr(dpr);\n\n const { scene, material, camera } = useSetup({\n size,\n dpr: _dpr.shader,\n material: BlankMaterial,\n materialParameters,\n ...shaderWithUniforms,\n });\n\n const fboParams = {\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n fboAutoSetSize,\n ...renderTargetOptions,\n };\n const [renderTarget, updateRenderTarget] = useSingleFBO(fboParams);\n const [_, updateBackbuffer] = useDoubleFBO(fboParams);\n\n const [confing, setConfig] = useMutableState<BlankConfig>({ pointerLerp });\n\n const setValues = useCallback(\n ({ pointerLerp, ...newValues }: {} & BlankConfig) => {\n material.setUniformValues(newValues);\n if (pointerLerp) setConfig({ pointerLerp });\n },\n [material, setConfig]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: {} & BlankConfig) => {\n const { gl, clock, pointer } = rootState;\n if (newValues) setValues(newValues);\n material.uniforms.time.value = clock.getElapsedTime();\n material.uniforms.pointer.value.lerp(\n pointer,\n confing.current.pointerLerp!\n );\n updateBackbuffer(\n { gl },\n ({ read }) => (material.uniforms.backbuffer.value = read)\n );\n return updateRenderTarget({ gl });\n },\n [setValues, updateRenderTarget, material, updateBackbuffer, confing]\n );\n\n return {\n render,\n setValues,\n texture: renderTarget.texture,\n material,\n scene,\n camera,\n renderTarget,\n };\n};\n","import { useCallback } from \"react\";\nimport { useSingleFBO, getDpr, useSetup } from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport { GridMaterial, GridValues, GridMaterialProps } from \"../../materials\";\n\nexport type GridProps = HooksProps & GridValues;\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useGrid = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n ...uniformValues\n}: GridProps): HooksReturn<GridValues, GridMaterial & GridMaterialProps> => {\n const _dpr = getDpr(dpr);\n\n const { scene, material, camera } = useSetup({\n size,\n dpr: _dpr.shader,\n material: GridMaterial,\n uniformValues,\n materialParameters,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n fboAutoSetSize,\n ...renderTargetOptions,\n });\n\n const setValues = useCallback(\n (newValues: GridValues, needsUpdate: boolean = true) => {\n material.setUniformValues(newValues, needsUpdate);\n material.setNearestFilter();\n },\n [material]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: GridValues) => {\n const { gl, clock } = rootState;\n newValues && setValues(newValues, false);\n material.uniforms.tick.value =\n typeof newValues?.tick === \"function\"\n ? newValues.tick(material.uniforms.tick.value)\n : newValues?.tick || clock.getElapsedTime();\n return updateRenderTarget({ gl });\n },\n [setValues, updateRenderTarget, material]\n );\n\n return {\n render,\n setValues,\n texture: renderTarget.texture,\n material,\n scene,\n camera,\n renderTarget,\n };\n};\n","export type EasingTypes =\n | \"easeInSine\"\n | \"easeOutSine\"\n | \"easeInOutSine\"\n | \"easeInQuad\"\n | \"easeOutQuad\"\n | \"easeInOutQuad\"\n | \"easeInCubic\"\n | \"easeOutCubic\"\n | \"easeInOutCubic\"\n | \"easeInQuart\"\n | \"easeOutQuart\"\n | \"easeInOutQuart\"\n | \"easeInQuint\"\n | \"easeOutQuint\"\n | \"easeInOutQuint\"\n | \"easeInExpo\"\n | \"easeOutExpo\"\n | \"easeInOutExpo\"\n | \"easeInCirc\"\n | \"easeOutCirc\"\n | \"easeInOutCirc\"\n | \"easeInBack\"\n | \"easeOutBack\"\n | \"easeInOutBack\"\n | \"easeInElastic\"\n | \"easeOutElastic\"\n | \"easeInOutElastic\"\n | \"easeInBounce\"\n | \"easeOutBounce\"\n | \"easeInOutBounce\";\n\ntype EasingFunctions = {\n [K in EasingTypes]: (x: number) => number;\n};\n\n/**\n * from https://github.com/ai/easings.net\n */\nexport const Easing: EasingFunctions = Object.freeze({\n easeInSine(x: number): number {\n return 1 - Math.cos((x * Math.PI) / 2);\n },\n easeOutSine(x: number): number {\n return Math.sin((x * Math.PI) / 2);\n },\n easeInOutSine(x: number): number {\n return -(Math.cos(Math.PI * x) - 1) / 2;\n },\n easeInQuad(x: number): number {\n return x * x;\n },\n easeOutQuad(x: number): number {\n return 1 - (1 - x) * (1 - x);\n },\n easeInOutQuad(x: number): number {\n return x < 0.5 ? 2 * x * x : 1 - Math.pow(-2 * x + 2, 2) / 2;\n },\n easeInCubic(x: number): number {\n return x * x * x;\n },\n easeOutCubic(x: number): number {\n return 1 - Math.pow(1 - x, 3);\n },\n easeInOutCubic(x: number): number {\n return x < 0.5 ? 4 * x * x * x : 1 - Math.pow(-2 * x + 2, 3) / 2;\n },\n easeInQuart(x: number): number {\n return x * x * x * x;\n },\n easeOutQuart(x: number): number {\n return 1 - Math.pow(1 - x, 4);\n },\n easeInOutQuart(x: number): number {\n return x < 0.5 ? 8 * x * x * x * x : 1 - Math.pow(-2 * x + 2, 4) / 2;\n },\n easeInQuint(x: number): number {\n return x * x * x * x * x;\n },\n easeOutQuint(x: number): number {\n return 1 - Math.pow(1 - x, 5);\n },\n easeInOutQuint(x: number): number {\n return x < 0.5 ? 16 * x * x * x * x * x : 1 - Math.pow(-2 * x + 2, 5) / 2;\n },\n easeInExpo(x: number): number {\n return x === 0 ? 0 : Math.pow(2, 10 * x - 10);\n },\n easeOutExpo(x: number): number {\n return x === 1 ? 1 : 1 - Math.pow(2, -10 * x);\n },\n easeInOutExpo(x: number): number {\n return x === 0\n ? 0\n : x === 1\n ? 1\n : x < 0.5\n ? 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texture2D(uBuffer, uv + offset); +`,He=` + precision highp int; + + uniform float tick; + uniform float timeStrength; + uniform int noiseOctaves; + uniform int fbmOctaves; + uniform int warpOctaves; + uniform vec2 warpDirection; + uniform float warpStrength; + uniform float scale; + uniform float timeOffset; + + const float per = 0.5; + const float PI = 3.14159265359; + + float rnd(vec2 n) { + float a = 0.129898; + float b = 0.78233; + float c = 437.585453; + float dt= dot(n ,vec2(a, b)); + float sn= mod(dt, PI); + return fract(sin(sn) * c); } - return baseColor / float(uMotionSample); -} - -void main() { - - vec2 uv = vUv; - if(uIsMap){ - vec2 mapColor = texture2D(uMap, uv).rg; - vec2 normalizedMap = mapColor * 2.0 - 1.0; - uv = uv * 2.0 - 1.0; - uv *= mix(vec2(1.0), abs(normalizedMap.rg), uMapIntensity); - uv = (uv + 1.0) / 2.0; - } - vec2 suv = uv*2.-1.; - - vec2 velocity = uVelocity * uResolution; - - float radius = max(0.0,uRadius); - - vec4 smudgedColor = uSmudge > 0. ? createSmudge(uv) : texture2D(uBuffer, uv); - - vec4 motionBlurredColor = uMotionBlur > 0. ? createMotionBlur(uv,smudgedColor, velocity) : smudgedColor; - - vec4 bufferColor = motionBlurredColor; - bufferColor.a = bufferColor.a < 1e-10 ? 0.0 : bufferColor.a * uDissipation; - - vec4 brushColor = uIsTexture ? texture2D(uTexture, uv) : vec4(uColor,1.); - - float onLine = isOnLine(suv, uPrevMouse, uMouse, radius, uPressureStart,uPressureEnd); - float isOnLine = length(velocity) > 0. ? onLine : uIsCursor ? onLine : 0.; - - vec4 finalColor = mix(bufferColor, brushColor, isOnLine); - - gl_FragColor = finalColor; -}`;const N=(e,n=!1)=>{const t=n?e.width*n:e.width,r=n?e.height*n:e.height;return a.useMemo(()=>new o.Vector2(t,r),[t,r])},P=e=>(n,t)=>{if(t===void 0)return;const r=e.uniforms;r&&r[n]&&(r[n].value=t)},A=e=>n=>{n!==void 0&&Object.keys(n).forEach(t=>{const r=e.uniforms;r&&r[t]&&(r[t].value=n[t])})},B=(e,n,t,r)=>{const l=a.useMemo(()=>{const c=new r(n,t);return e&&e.add(c),c},[n,t,r,e]);return a.useEffect(()=>()=>{e&&e.remove(l),n.dispose(),t.dispose()},[e,n,t,l]),l},we=process.env.NODE_ENV==="development",I={transparent:!1,depthTest:!1,depthWrite:!1},T=new o.DataTexture(new Uint8Array([0,0,0,0]),1,1,o.RGBAFormat);var Ne=`vec4 permute(vec4 x){return mod(((x*34.0)+1.0)*x, 289.0);} -float permute(float x){return floor(mod(((x*34.0)+1.0)*x, 289.0));} -vec4 taylorInvSqrt(vec4 r){return 1.79284291400159 - 0.85373472095314 * r;} -float taylorInvSqrt(float r){return 1.79284291400159 - 0.85373472095314 * r;} - -vec4 grad4(float j, vec4 ip) -{ - const vec4 ones = vec4(1.0, 1.0, 1.0, -1.0); - vec4 p,s; - - p.xyz = floor( fract (vec3(j) * ip.xyz) * 7.0) * ip.z - 1.0; - p.w = 1.5 - dot(abs(p.xyz), ones.xyz); - s = vec4(lessThan(p, vec4(0.0))); - p.xyz = p.xyz + (s.xyz*2.0 - 1.0) * s.www; - - return p; -} - -float simplexNoise4d(vec4 v) -{ - const vec2 C = vec2( 0.138196601125010504, - 0.309016994374947451); - - vec4 i = floor(v + dot(v, C.yyyy) ); - vec4 x0 = v - i + dot(i, C.xxxx); - - - - - vec4 i0; - - vec3 isX = step( x0.yzw, x0.xxx ); - vec3 isYZ = step( x0.zww, x0.yyz ); - - i0.x = isX.x + isX.y + isX.z; - i0.yzw = 1.0 - isX; - - - i0.y += isYZ.x + isYZ.y; - i0.zw += 1.0 - isYZ.xy; - - i0.z += isYZ.z; - i0.w += 1.0 - isYZ.z; - - - vec4 i3 = clamp( i0, 0.0, 1.0 ); - vec4 i2 = clamp( i0-1.0, 0.0, 1.0 ); - vec4 i1 = clamp( i0-2.0, 0.0, 1.0 ); - - - vec4 x1 = x0 - i1 + 1.0 * C.xxxx; - vec4 x2 = x0 - i2 + 2.0 * C.xxxx; - vec4 x3 = x0 - i3 + 3.0 * C.xxxx; - vec4 x4 = x0 - 1.0 + 4.0 * C.xxxx; - - - i = mod(i, 289.0); - float j0 = permute( permute( permute( permute(i.w) + i.z) + i.y) + i.x); - vec4 j1 = permute( permute( permute( permute ( - i.w + vec4(i1.w, i2.w, i3.w, 1.0 )) - + i.z + vec4(i1.z, i2.z, i3.z, 1.0 )) - + i.y + vec4(i1.y, i2.y, i3.y, 1.0 )) - + i.x + vec4(i1.x, i2.x, i3.x, 1.0 )); - - - - - vec4 ip = vec4(1.0/294.0, 1.0/49.0, 1.0/7.0, 0.0) ; - - vec4 p0 = grad4(j0, ip); - vec4 p1 = grad4(j1.x, ip); - vec4 p2 = grad4(j1.y, ip); - vec4 p3 = grad4(j1.z, ip); - vec4 p4 = grad4(j1.w, ip); - - - vec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3))); - p0 *= norm.x; - p1 *= norm.y; - p2 *= norm.z; - p3 *= norm.w; - p4 *= taylorInvSqrt(dot(p4,p4)); - - - vec3 m0 = max(0.6 - vec3(dot(x0,x0), dot(x1,x1), dot(x2,x2)), 0.0); - vec2 m1 = max(0.6 - vec2(dot(x3,x3), dot(x4,x4) ), 0.0); - m0 = m0 * m0; - m1 = m1 * m1; - return 49.0 * ( dot(m0*m0, vec3( dot( p0, x0 ), dot( p1, x1 ), dot( p2, x2 ))) - + dot(m1*m1, vec2( dot( p3, x3 ), dot( p4, x4 ) ) ) ) ; - -} - -float getWobble(vec3 position) -{ - vec3 warpedPosition = position; - warpedPosition += simplexNoise4d( - vec4( - position * uWarpPositionFrequency, - uTime * uWarpTimeFrequency - ) - ) * uWarpStrength; - - return simplexNoise4d(vec4( - warpedPosition * uWobblePositionFrequency, - uTime * uWobbleTimeFrequency - )) * uWobbleStrength; -}`,Ge=`vec3 random3(vec3 c) { - float j = 4096.0*sin(dot(c,vec3(17.0, 59.4, 15.0))); - vec3 r; - r.z = fract(512.0*j); - j *= .125; - r.x = fract(512.0*j); - j *= .125; - r.y = fract(512.0*j); - return r-0.5; -} - -const float F3 = 0.3333333; -const float G3 = 0.1666667; - -float snoise(vec3 p) { - - vec3 s = floor(p + dot(p, vec3(F3))); - vec3 x = p - s + dot(s, vec3(G3)); - - vec3 e = step(vec3(0.0), x - x.yzx); - vec3 i1 = e*(1.0 - e.zxy); - vec3 i2 = 1.0 - e.zxy*(1.0 - e); - - vec3 x1 = x - i1 + G3; - vec3 x2 = x - i2 + 2.0*G3; - vec3 x3 = x - 1.0 + 3.0*G3; - - vec4 w, d; - - w.x = dot(x, x); - w.y = dot(x1, x1); - w.z = dot(x2, x2); - w.w = dot(x3, x3); - - w = max(0.6 - w, 0.0); - - d.x = dot(random3(s), x); - d.y = dot(random3(s + i1), x1); - d.z = dot(random3(s + i2), x2); - d.w = dot(random3(s + 1.0), x3); - - w *= w; - w *= w; - d *= w; - - return dot(d, vec4(52.0)); -} - -float snoiseFractal(vec3 m) { - return 0.5333333* snoise(m) - +0.2666667* snoise(2.0*m) - +0.1333333* snoise(4.0*m) - +0.0666667* snoise(8.0*m); -}`,He=`float screenAspect = uResolution.x / uResolution.y; -float textureAspect = uTextureResolution.x / uTextureResolution.y; -vec2 aspectRatio = vec2( - min(screenAspect / textureAspect, 1.0), - min(textureAspect / screenAspect, 1.0) -); -vec2 uv = vUv * aspectRatio + (1.0 - aspectRatio) * .5;`,Ke=`vec3 mapColor = texture2D(uMap, uv).rgb; -vec3 normalizedMap = mapColor * 2.0 - 1.0; - -uv = uv * 2.0 - 1.0; -uv *= mix(vec2(1.0), abs(normalizedMap.rg), uMapIntensity); -uv = (uv + 1.0) / 2.0;`,Xe=`precision highp float; - -varying vec2 vUv; - -void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); -}`,Ye=`varying vec2 vUv; - -void main() { - vUv = uv; - gl_Position = projectionMatrix * modelViewMatrix * vec4(position, 1.0); -}`,Qe=`vec3 hsv2rgb(vec3 c) -{ - vec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0); - vec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www); - return c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y); -}`,Ze=`vec3 rgb2hsv(vec3 c) -{ - vec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0); - vec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, 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PI = 3.14159265359; - -float rnd(vec2 n) { - float a = 0.129898; - float b = 0.78233; - float c = 437.585453; - float dt= dot(n ,vec2(a, b)); - float sn= mod(dt, PI); - return fract(sin(sn) * c); -} - -float interpolate(float a, float b, float x){ - float f = (1.0 - cos(x * PI)) * 0.5; - return a * (1.0 - f) + b * f; -} - -float irnd(vec2 p){ - vec2 i = floor(p); - vec2 f = fract(p); - vec4 v = vec4(rnd(vec2(i.x,i.y)),rnd(vec2(i.x + 1.0,i.y)),rnd(vec2(i.x,i.y + 1.0)),rnd(vec2(i.x + 1.0, i.y + 1.0))); - return interpolate(interpolate(v.x, v.y, f.x), interpolate(v.z, v.w, f.x), f.y); -} - -float noise(vec2 p, float time){ - float t = 0.0; - for(int i = 0; i < noiseOctaves; i++){ - float freq = pow(2.0, float(i)); - float amp = pow(per, float(noiseOctaves - i)); - t += irnd(vec2(p.y / freq + time, p.x / freq + time)) * amp; + float interpolate(float a, float b, float x){ + float f = (1.0 - cos(x * PI)) * 0.5; + return a * (1.0 - f) + b * f; } - return t; -} - -float fbm(vec2 x, float time) { - float v = 0.0; - float a = 0.5; - vec2 shift = vec2(100); - mat2 rot = mat2(cos(0.5), sin(0.5), -sin(0.5), cos(0.5)); - float sign = 1.0; - for (int i = 0; i < fbmOctaves; ++i) { - v += a * noise(x, time * sign); - x = rot * x * 2.0 + shift; - a *= 0.5; - sign *= -1.0; - } - return v; -} -float warp(vec2 x, float g,float time){ - float val = 0.0; - for (int i = 0; i < warpOctaves; i++){ - val = fbm(x + g * vec2(cos(warpDirection.x * val), sin(warpDirection.y * val)), time); + float irnd(vec2 p){ + vec2 i = floor(p); + vec2 f = fract(p); + vec4 v = vec4(rnd(vec2(i.x,i.y)),rnd(vec2(i.x + 1.0,i.y)),rnd(vec2(i.x,i.y + 1.0)),rnd(vec2(i.x + 1.0, i.y + 1.0))); + return interpolate(interpolate(v.x, v.y, f.x), interpolate(v.z, v.w, f.x), f.y); } - return val; -} - -void main() { - float noise = warp(gl_FragCoord.xy * scale ,warpStrength,uTime * timeStrength); - gl_FragColor = vec4(vec3(noise),1.0); -}`;const Fn=({scene:e,onBeforeInit:n})=>{const t=a.useMemo(()=>new o.PlaneGeometry(2,2),[]),r=a.useMemo(()=>new o.ShaderMaterial({...F({uniforms:{uTime:{value:0},scale:{value:J.scale},timeStrength:{value:J.timeStrength},noiseOctaves:{value:J.noiseOctaves},fbmOctaves:{value:J.fbmOctaves},warpOctaves:{value:J.warpOctaves},warpDirection:{value:J.warpDirection},warpStrength:{value:J.warpStrength}},vertexShader:Pn,fragmentShader:An},n),...I}),[n]),l=B(e,t,r,o.Mesh);return{material:r,mesh:l}},J=Object.freeze({scale:.004,timeStrength:.3,noiseOctaves:2,fbmOctaves:2,warpOctaves:2,warpDirection:new o.Vector2(2,2),warpStrength:8,beat:!1}),Vn=({size:e,dpr:n,renderTargetOptions:t,isSizeUpdate:r,onBeforeInit:l})=>{const c=O(n),m=a.useMemo(()=>new o.Scene,[]),{material:i,mesh:d}=Fn({scene:m,onBeforeInit:l}),p=E(e),[g,M]=k({scene:m,camera:p,size:e,dpr:c.fbo,isSizeUpdate:r,...t}),[u,v]=L(J),s=P(i),f=A(i),x=a.useCallback((y,h)=>{v(y),f(h)},[v,f]);return[a.useCallback((y,h,C)=>{const{gl:_,clock:w}=y;return x(h,C),s("scale",u.scale),s("timeStrength",u.timeStrength),s("noiseOctaves",u.noiseOctaves),s("fbmOctaves",u.fbmOctaves),s("warpOctaves",u.warpOctaves),s("warpDirection",u.warpDirection),s("warpStrength",u.warpStrength),s("uTime",u.beat||w.getElapsedTime()),M(_)},[M,s,u,x]),x,{scene:m,mesh:d,material:i,camera:p,renderTarget:g,output:g.texture}]};var In="#usf <planeVertex>",zn=`precision highp float; -varying vec2 vUv; -uniform sampler2D uTexture; -uniform bool isTexture; -uniform sampler2D noise; -uniform bool isNoise; -uniform vec2 noiseStrength; -uniform float laminateLayer; -uniform vec2 laminateInterval; -uniform vec2 laminateDetail; -uniform vec2 distortion; -uniform vec3 colorFactor; -uniform float uTime; -uniform vec2 timeStrength; -uniform float scale; - -void main() { - vec2 uv = vUv; - - vec2 pos = isTexture ? texture2D(uTexture, uv).rg : uv * scale; - vec2 noise = isNoise ? texture2D(noise, uv).rg : vec2(0.0); - float alpha = isTexture ? texture2D(uTexture, uv).a : 1.0; - - 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col *= colorFactor * alpha; - col = clamp(col, 0.0, 1.0); - - gl_FragColor = vec4(col, alpha); -}`;const On=({scene:e,onBeforeInit:n})=>{const t=a.useMemo(()=>new o.PlaneGeometry(2,2),[]),r=a.useMemo(()=>new o.ShaderMaterial({...F({uniforms:{uTexture:{value:T},isTexture:{value:!1},scale:{value:K.scale},noise:{value:T},noiseStrength:{value:K.noiseStrength},isNoise:{value:!1},laminateLayer:{value:K.laminateLayer},laminateInterval:{value:K.laminateInterval},laminateDetail:{value:K.laminateDetail},distortion:{value:K.distortion},colorFactor:{value:K.colorFactor},uTime:{value:0},timeStrength:{value:K.timeStrength}},vertexShader:In,fragmentShader:zn},n),...I}),[n]),l=B(e,t,r,o.Mesh);return{material:r,mesh:l}},K=Object.freeze({texture:!1,scale:1,laminateLayer:1,laminateInterval:new o.Vector2(.1,.1),laminateDetail:new o.Vector2(1,1),distortion:new o.Vector2(0,0),colorFactor:new o.Vector3(1,1,1),timeStrength:new o.Vector2(0,0),noise:!1,noiseStrength:new o.Vector2(0,0),beat:!1}),Un=({size:e,dpr:n,renderTargetOptions:t,isSizeUpdate:r,onBeforeInit:l})=>{const c=O(n),m=a.useMemo(()=>new o.Scene,[]),{material:i,mesh:d}=On({scene:m,onBeforeInit:l}),p=E(e),[g,M]=k({scene:m,camera:p,size:e,dpr:c.fbo,isSizeUpdate:r,...t}),[u,v]=L(K),s=P(i),f=A(i),x=a.useCallback((y,h)=>{v(y),f(h)},[v,f]);return[a.useCallback((y,h,C)=>{const{gl:_,clock:w}=y;return x(h,C),u.texture?(s("uTexture",u.texture),s("isTexture",!0)):(s("isTexture",!1),s("scale",u.scale)),u.noise?(s("noise",u.noise),s("isNoise",!0),s("noiseStrength",u.noiseStrength)):s("isNoise",!1),s("uTime",u.beat||w.getElapsedTime()),s("laminateLayer",u.laminateLayer),s("laminateInterval",u.laminateInterval),s("laminateDetail",u.laminateDetail),s("distortion",u.distortion),s("colorFactor",u.colorFactor),s("timeStrength",u.timeStrength),M(_)},[M,s,u,x]),x,{scene:m,mesh:d,material:i,camera:p,renderTarget:g,output:g.texture}]};var Bn="#usf <planeVertex>",En=`precision highp float; - -varying vec2 vUv; -uniform float u_time; -uniform float u_pattern; -uniform float u_complexity; -uniform float u_complexityAttenuation; -uniform float u_iterations; -uniform float u_timeStrength; -uniform float u_scale; - -vec3 marble(vec3 p){ - vec4 n; - for(float i;i<u_iterations;i++){ - p+=sin(p.yzx + u_pattern); - n=u_complexity*n+vec4(cross(cos(p + u_pattern),sin(p.zxy + u_pattern)),1.)*(1.+i*u_complexityAttenuation); - p*=u_complexity; + float fbm(vec2 x, float time) { + float v = 0.0; + float a = 0.5; + vec2 shift = vec2(100); + mat2 rot = mat2(cos(0.5), sin(0.5), -sin(0.5), cos(0.5)); + float sign = 1.0; + for (int i = 0; i < fbmOctaves; ++i) { + v += a * noise(x, time * sign); + x = rot * x * 2.0 + shift; + a *= 0.5; + sign *= -1.0; + } + return v; } - return n.xyz/n.w; -} - -void main() { - float time = u_time * u_timeStrength; - vec3 color = clamp(marble(vec3(gl_FragCoord.xy*u_scale,time)),0.,1.); - gl_FragColor = vec4(color,1.); -}`;const Ln=({scene:e,onBeforeInit:n})=>{const t=a.useMemo(()=>new o.PlaneGeometry(2,2),[]),r=a.useMemo(()=>new o.ShaderMaterial({...F({uniforms:{u_time:{value:0},u_pattern:{value:te.pattern},u_complexity:{value:te.complexity},u_complexityAttenuation:{value:te.complexityAttenuation},u_iterations:{value:te.iterations},u_timeStrength:{value:te.timeStrength},u_scale:{value:te.scale}},vertexShader:Bn,fragmentShader:En},n),...I}),[n]),l=B(e,t,r,o.Mesh);return{material:r,mesh:l}},te=Object.freeze({pattern:0,complexity:2,complexityAttenuation:.2,iterations:8,timeStrength:.2,scale:.002,beat:!1}),kn=({size:e,dpr:n,renderTargetOptions:t,isSizeUpdate:r,onBeforeInit:l})=>{const c=O(n),m=a.useMemo(()=>new o.Scene,[]),{material:i,mesh:d}=Ln({scene:m,onBeforeInit:l}),p=E(e),[g,M]=k({scene:m,camera:p,size:e,dpr:c.fbo,isSizeUpdate:r,...t}),[u,v]=L(te),s=P(i),f=A(i),x=a.useCallback((y,h)=>{v(y),f(h)},[v,f]);return[a.useCallback((y,h,C)=>{const{gl:_,clock:w}=y;return x(h,C),s("u_pattern",u.pattern),s("u_complexity",u.complexity),s("u_complexityAttenuation",u.complexityAttenuation),s("u_iterations",u.iterations),s("u_timeStrength",u.timeStrength),s("u_scale",u.scale),s("u_time",u.beat||w.getElapsedTime()),M(_)},[M,s,u,x]),x,{scene:m,mesh:d,material:i,camera:p,renderTarget:g,output:g.texture}]};var $n="#usf <planeVertex>",jn=`precision highp float; -precision highp int; - -varying vec2 vUv; -uniform sampler2D uTexture; -uniform vec3 uColor1; -uniform vec3 uColor2; -uniform vec3 uColor3; -uniform vec3 uColor4; -uniform vec3 uRgbWeight; -vec3 cosPalette( float t, vec3 color1, vec3 color2, vec3 color3, vec3 color4 ){ - return color1 + color2 * cos( 6.28318 * ( color3 * t + color4) ); -} - -void main() { - - vec4 tex = texture2D(uTexture, vUv); - float gray = dot(tex.rgb, uRgbWeight); - - vec3 outColor = cosPalette( - gray, - uColor1, - uColor2, - uColor3, - uColor4 - ); - - gl_FragColor = vec4(outColor, tex.a); -}`;const Wn=({scene:e,onBeforeInit:n})=>{const t=a.useMemo(()=>new o.PlaneGeometry(2,2),[]),r=a.useMemo(()=>new o.ShaderMaterial({...F({uniforms:{uTexture:{value:T},uRgbWeight:{value:ue.rgbWeight},uColor1:{value:ue.color1},uColor2:{value:ue.color2},uColor3:{value:ue.color3},uColor4:{value:ue.color4}},vertexShader:$n,fragmentShader:jn},n),...I}),[n]),l=B(e,t,r,o.Mesh);return{material:r,mesh:l}},ue=Object.freeze({texture:T,color1:new o.Color().set(.5,.5,.5),color2:new o.Color().set(.5,.5,.5),color3:new o.Color().set(1,1,1),color4:new o.Color().set(0,.1,.2),rgbWeight:new o.Vector3(.299,.587,.114)}),qn=({size:e,dpr:n,renderTargetOptions:t,isSizeUpdate:r,onBeforeInit:l})=>{const c=O(n),m=a.useMemo(()=>new o.Scene,[]),{material:i,mesh:d}=Wn({scene:m,onBeforeInit:l}),p=E(e),[g,M]=k({scene:m,camera:p,size:e,dpr:c.fbo,isSizeUpdate:r,...t}),[u,v]=L(ue),s=P(i),f=A(i),x=a.useCallback((y,h)=>{v(y),f(h)},[v,f]);return[a.useCallback((y,h,C)=>{const{gl:_}=y;return x(h,C),s("uTexture",u.texture),s("uColor1",u.color1),s("uColor2",u.color2),s("uColor3",u.color3),s("uColor4",u.color4),s("uRgbWeight",u.rgbWeight),M(_)},[M,s,u,x]),x,{scene:m,mesh:d,material:i,camera:p,renderTarget:g,output:g.texture}]};var Nn="#usf <planeVertex>",Gn=`precision highp float; - -varying vec2 vUv; -uniform sampler2D uTexture; - -uniform vec3 uColor0; -uniform vec3 uColor1; - -void main() { - vec2 uv = vUv; - vec4 texColor = texture2D(uTexture, uv); - float grayscale = dot(texColor.rgb, vec3(0.299, 0.587, 0.114)); - vec3 duotone = mix(uColor0, uColor1, grayscale); - gl_FragColor = vec4(duotone, texColor.a); -}`;const Hn=({scene:e,onBeforeInit:n})=>{const t=a.useMemo(()=>new o.PlaneGeometry(2,2),[]),r=a.useMemo(()=>new o.ShaderMaterial({...F({uniforms:{uTexture:{value:T},uColor0:{value:xe.color0},uColor1:{value:xe.color1}},vertexShader:Nn,fragmentShader:Gn},n),...I}),[n]),l=B(e,t,r,o.Mesh);return{material:r,mesh:l}},xe=Object.freeze({texture:T,color0:new o.Color(16777215),color1:new o.Color(0)}),Kn=({size:e,dpr:n,renderTargetOptions:t,isSizeUpdate:r,onBeforeInit:l})=>{const c=O(n),m=a.useMemo(()=>new o.Scene,[]),{material:i,mesh:d}=Hn({scene:m,onBeforeInit:l}),p=E(e),[g,M]=k({scene:m,camera:p,size:e,dpr:c.fbo,isSizeUpdate:r,...t}),[u,v]=L(xe),s=P(i),f=A(i),x=a.useCallback((y,h)=>{v(y),f(h)},[v,f]);return[a.useCallback((y,h,C)=>{const{gl:_}=y;return x(h,C),s("uTexture",u.texture),s("uColor0",u.color0),s("uColor1",u.color1),M(_)},[M,s,u,x]),x,{scene:m,mesh:d,material:i,camera:p,renderTarget:g,output:g.texture}]};var Xn="#usf <planeVertex>",Yn=`precision highp float; - -varying vec2 vUv; -uniform sampler2D u_texture; -uniform sampler2D uMap; -uniform bool u_isAlphaMap; -uniform sampler2D u_alphaMap; -uniform float uMapIntensity; -uniform vec3 u_brightness; -uniform float u_min; -uniform float u_max; -uniform vec3 u_dodgeColor; -uniform bool u_isDodgeColor; - -void main() { - vec2 uv = vUv; - - #usf <fxBlending> - - - float brightness = dot(mapColor,u_brightness); - vec4 textureMap = texture2D(u_texture, uv); - float blendValue = smoothstep(u_min, u_max, brightness); - - - vec3 dodgeColor = u_isDodgeColor ? u_dodgeColor : mapColor; - vec3 outputColor = blendValue * dodgeColor + (1.0 - blendValue) * textureMap.rgb; - - - float alpha = u_isAlphaMap ? texture2D(u_alphaMap, uv).a : textureMap.a; - float mixValue = u_isAlphaMap ? alpha : 0.0; - vec3 alphaColor = vec3(mix(outputColor,mapColor,mixValue)); - - gl_FragColor = vec4(alphaColor,alpha); -}`;const Qn=({scene:e,onBeforeInit:n})=>{const t=a.useMemo(()=>new o.PlaneGeometry(2,2),[]),r=a.useMemo(()=>new o.ShaderMaterial({...F({uniforms:{u_texture:{value:T},uMap:{value:T},u_alphaMap:{value:T},u_isAlphaMap:{value:!1},uMapIntensity:{value:se.mapIntensity},u_brightness:{value:se.brightness},u_min:{value:se.min},u_max:{value:se.max},u_dodgeColor:{value:new o.Color},u_isDodgeColor:{value:!1}},vertexShader:Xn,fragmentShader:Yn},n),...I}),[n]),l=B(e,t,r,o.Mesh);return{material:r,mesh:l}},se=Object.freeze({texture:T,map:T,alphaMap:!1,mapIntensity:.3,brightness:new o.Vector3(.5,.5,.5),min:0,max:1,dodgeColor:!1}),Zn=({size:e,dpr:n,renderTargetOptions:t,isSizeUpdate:r,onBeforeInit:l})=>{const c=O(n),m=a.useMemo(()=>new o.Scene,[]),{material:i,mesh:d}=Qn({scene:m,onBeforeInit:l}),p=E(e),[g,M]=k({scene:m,camera:p,size:e,dpr:c.fbo,isSizeUpdate:r,...t}),[u,v]=L(se),s=P(i),f=A(i),x=a.useCallback((y,h)=>{v(y),f(h)},[v,f]);return[a.useCallback((y,h,C)=>{const{gl:_}=y;return x(h,C),s("u_texture",u.texture),s("uMap",u.map),s("uMapIntensity",u.mapIntensity),u.alphaMap?(s("u_alphaMap",u.alphaMap),s("u_isAlphaMap",!0)):s("u_isAlphaMap",!1),s("u_brightness",u.brightness),s("u_min",u.min),s("u_max",u.max),u.dodgeColor?(s("u_dodgeColor",u.dodgeColor),s("u_isDodgeColor",!0)):s("u_isDodgeColor",!1),M(_)},[M,s,u,x]),x,{scene:m,mesh:d,material:i,camera:p,renderTarget:g,output:g.texture}]};var Jn="#usf <planeVertex>",et=`precision highp float; - -varying vec2 vUv; -uniform vec2 uResolution; -uniform vec2 uTextureResolution; -uniform sampler2D uTexture0; -uniform sampler2D uTexture1; -uniform sampler2D uMap; -uniform float mapIntensity; -uniform float edgeIntensity; -uniform float progress; -uniform float dirX; -uniform float dirY; -uniform vec2 epicenter; -uniform float padding; - -bool isInPaddingArea(vec2 uv) { - return uv.x < padding || uv.x > 1.0 - padding || uv.y < padding || uv.y > 1.0 - padding; -} - -void main() { - #usf <coverTexture> - - - vec2 map = texture2D(uMap, uv).rg; - vec2 normalizedMap = map * 2.0 - 1.0; - - - uv = uv * 2.0 - 1.0; - uv *= map * distance(epicenter, uv) * edgeIntensity + 1.0; - uv = (uv + 1.0) / 2.0; - - - if (isInPaddingArea(uv)) { - gl_FragColor = vec4(0.0, 0.0, 0.0, 0.0); - return; + float warp(vec2 x, float g,float time){ + float val = 0.0; + for (int i = 0; i < warpOctaves; i++){ + val = fbm(x + g * vec2(cos(warpDirection.x * val), sin(warpDirection.y * val)), time); + } + return val; } - vec2 paddedUV = uv * (1.0 - 2.0 * padding * -1.) + padding * -1.; - - vec2 centeredUV = paddedUV - vec2(0.5); + void main() { - - centeredUV *= normalizedMap * map * mapIntensity + 1.0; + vec2 usf_Uv = gl_FragCoord.xy * scale; - - float xOffsetTexture0 = 0.5 - dirX * progress; - float yOffsetTexture0 = 0.5 - dirY * progress; - vec2 samplePosTexture0 = vec2(xOffsetTexture0, yOffsetTexture0) + centeredUV; + ${g.basicFx_fragment_begin} - - float xOffsetTexture1 = 0.5 + dirX * (1.0 - progress); - float yOffsetTexture1 = 0.5 + dirY * (1.0 - progress); - vec2 samplePosTexture1 = vec2(xOffsetTexture1, yOffsetTexture1) + centeredUV; + float noise = warp(usf_Uv ,warpStrength,tick * timeStrength); - vec4 color0 = texture2D(uTexture0, samplePosTexture0); - vec4 color1 = texture2D(uTexture1, samplePosTexture1); + vec4 usf_FragColor = vec4(noise); - gl_FragColor = mix(color0, color1, progress); + ${g.basicFx_fragment_end} -}`;const nt=({scene:e,size:n,dpr:t,onBeforeInit:r})=>{const l=a.useMemo(()=>new o.PlaneGeometry(2,2),[]),c=a.useMemo(()=>{var p,g;return new o.ShaderMaterial({...F({uniforms:{uResolution:{value:new o.Vector2},uTextureResolution:{value:new o.Vector2},uTexture0:{value:T},uTexture1:{value:T},padding:{value:ee.padding},uMap:{value:T},edgeIntensity:{value:ee.edgeIntensity},mapIntensity:{value:ee.mapIntensity},epicenter:{value:ee.epicenter},progress:{value:ee.progress},dirX:{value:(p=ee.dir)==null?void 0:p.x},dirY:{value:(g=ee.dir)==null?void 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o.ShaderMaterial({...F({uniforms:{u_texture:{value:T},u_brightness:{value:Me.brightness},u_saturation:{value:Me.saturation}},vertexShader:dt,fragmentShader:gt},n),...I}),[n]),l=B(e,t,r,o.Mesh);return{material:r,mesh:l}},Me=Object.freeze({texture:T,brightness:1,saturation:1}),xt=({size:e,dpr:n,renderTargetOptions:t,isSizeUpdate:r,onBeforeInit:l})=>{const c=O(n),m=a.useMemo(()=>new o.Scene,[]),{material:i,mesh:d}=ht({scene:m,size:e,onBeforeInit:l}),p=E(e),[g,M]=k({scene:m,camera:p,size:e,dpr:c.fbo,isSizeUpdate:r,...t}),[u,v]=L(Me),s=P(i),f=A(i),x=a.useCallback((y,h)=>{v(y),f(h)},[v,f]);return[a.useCallback((y,h,C)=>{const{gl:_}=y;return x(h,C),s("u_texture",u.texture),s("u_brightness",u.brightness),s("u_saturation",u.saturation),M(_)},[s,M,u,x]),x,{scene:m,mesh:d,material:i,camera:p,renderTarget:g,output:g.texture}]};var Mt="#usf <planeVertex>",yt=`precision highp float; - -varying vec2 vUv; -uniform vec2 uResolution; -uniform vec2 uTextureResolution; -uniform sampler2D uTexture; - -void 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o.Color(16711680),color1:new o.Color(65280),color2:new o.Color(255),color3:new o.Color(16776960),map:!1,alphaMap:!1,wobbleStrength:0,wobblePositionFrequency:.5,wobbleTimeFrequency:.5,warpStrength:0,warpPositionFrequency:.5,warpTimeFrequency:.5,displacement:!1,displacementIntensity:1,displacementColorIntensity:0,sizeRandomIntensity:0,sizeRandomTimeFrequency:.2,sizeRandomMin:.5,sizeRandomMax:1.5,divergence:0,divergencePoint:new o.Vector3(0),beat:!1}),Jt=({size:e,dpr:n,isSizeUpdate:t,renderTargetOptions:r,camera:l,geometry:c,positions:m,uvs:i,onBeforeInit:d})=>{const p=O(n),g=a.useMemo(()=>new 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mix(diffuseColor, usf_DiffuseColor, uColorMix); - } - `),e.fragmentShader=e.fragmentShader.replace("void main() {",` - uniform vec3 uColor0; - uniform vec3 uColor1; - uniform vec3 uColor2; - uniform vec3 uColor3; - uniform float uColorMix; - uniform float uEdgeThreshold; - uniform vec3 uEdgeColor; - - // transmission - uniform float uChromaticAberration; - uniform float uAnisotropicBlur; - uniform float uTime; - uniform float uDistortion; - uniform float uDistortionScale; - uniform float uTemporalDistortion; - uniform float uRefractionSamples; - - float rand(float n){return fract(sin(n) * 43758.5453123);} - - #usf <snoise> - - varying float vWobble; - varying vec2 vPosition; - varying vec3 vEdgeNormal; - varying vec3 vEdgeViewPosition; - - void main(){ - - vec4 usf_DiffuseColor = vec4(1.0); - float colorWobbleMix = smoothstep(-1.,1.,vWobble); - vec2 colorPosMix = vec2(smoothstep(-1.,1.,vPosition.x),smoothstep(-1.,1.,vPosition.y)); - - usf_DiffuseColor.rgb = mix(mix(uColor0, uColor1, colorPosMix.x), mix(uColor2, uColor3, colorPosMix.y), colorWobbleMix); - `)};var nr=`#ifdef USE_TRANSMISSION - - - - - uniform float _transmission; - uniform float thickness; - uniform float attenuationDistance; - uniform vec3 attenuationColor; - - #ifdef USE_TRANSMISSIONMAP - - uniform sampler2D transmissionMap; - - #endif - - #ifdef USE_THICKNESSMAP - - uniform sampler2D thicknessMap; - - #endif - - uniform vec2 transmissionSamplerSize; - uniform sampler2D transmissionSamplerMap; - - uniform mat4 modelMatrix; - uniform mat4 projectionMatrix; - - varying vec3 vWorldPosition; - - - - - float w0( float a ) { - - return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 ); - - } - - float w1( float a ) { - - return ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 ); - + float dist = length(adjustedUV - adjustedCenter); + float power = radius > 0.0 ? 1.0 - dist / radius : 1.0; + return smoothstep(range.x,range.y,power); } - float w2( float a ){ - - return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 ); - + float calcMixMapPower(sampler2D map,vec2 range, int ch) + { + return smoothstep(range.x,range.y, texture2D(map, vUv)[ch]); } - float w3( float a ) { - - return ( 1.0 / 6.0 ) * ( a * a * a ); - + vec4 fitTexture(sampler2D src , vec2 uv, int fitType) + { + + float a = fitType == 2 ? step(0.0, uv.x) * step(uv.x, 1.0) * step(0.0, uv.y) * step(uv.y, 1.0) : 1.; + return mix(vec4(0.), texture2D(src, uv), a); } - - float g0( float a ) { - - return w0( a ) + w1( a ); +#endif`,Ze="vUv = uv;",Je=`precision highp float; - } +varying vec2 vUv; +uniform vec2 resolution; +uniform vec2 texelSize; +uniform float aspectRatio; +uniform vec2 maxAspect;`,et=`precision highp float; - float g1( float a ) { +varying vec2 vUv; +uniform vec2 resolution; +uniform vec2 texelSize; +uniform float aspectRatio; +uniform vec2 maxAspect; +uniform int renderCount;`,tt=`#ifdef USF_USE_MIXSRC + varying vec2 vMixSrcCoverUv; + uniform vec2 mixSrc_fitScale; +#endif`,rt=`#ifdef USF_USE_MIXSRC + vMixSrcCoverUv = calcSrcUv(vUv, mixSrc_fitScale); +#endif`,at=`#ifdef USF_USE_MIXSRC + varying vec2 vMixSrcCoverUv; + uniform sampler2D mixSrc_src; + uniform int mixSrc_fit; + + uniform bool mixSrc_uv; + uniform int mixSrc_uv_ch; + uniform float mixSrc_uv_factor; + uniform vec2 mixSrc_uv_offset; + uniform float mixSrc_uv_radius; + uniform vec2 mixSrc_uv_position; + uniform vec2 mixSrc_uv_range; + uniform bool mixSrc_uv_mixMap; + uniform sampler2D mixSrc_uv_mixMap_src; + uniform int mixSrc_uv_mixMap_ch; + + uniform bool mixSrc_color; + uniform float mixSrc_color_factor; + uniform float mixSrc_color_radius; + uniform vec2 mixSrc_color_position; + uniform vec2 mixSrc_color_range; + uniform bool mixSrc_color_mixMap; + uniform sampler2D mixSrc_color_mixMap_src; + uniform int mixSrc_color_mixMap_ch; + + uniform bool mixSrc_alpha; + uniform float mixSrc_alpha_factor; + uniform float mixSrc_alpha_radius; + uniform vec2 mixSrc_alpha_position; + uniform vec2 mixSrc_alpha_range; + uniform bool mixSrc_alpha_mixMap; + uniform sampler2D mixSrc_alpha_mixMap_src; + uniform int mixSrc_alpha_mixMap_ch; + +#endif`,nt=`#ifdef USF_USE_MIXSRC + + vec4 mixSrcColor = fitTexture(mixSrc_src, vMixSrcCoverUv, mixSrc_fit); + + usf_Uv += mixSrc_uv + ? (mixSrc_uv_offset + (vec2(mixSrcColor[mixSrc_uv_ch]) * 2. - 1.)) * + (mixSrc_uv_mixMap + ? calcMixMapPower(mixSrc_uv_mixMap_src,mixSrc_uv_range,mixSrc_uv_mixMap_ch) + : calcMixCirclePower(mixSrc_uv_position,mixSrc_uv_radius,mixSrc_uv_range)) * mixSrc_uv_factor + : vec2(0.); + +#endif`,st=`#ifdef USF_USE_MIXSRC + + usf_FragColor = mixSrc_color + ? mix(usf_FragColor, mixSrcColor, + (mixSrc_color_mixMap + ? calcMixMapPower(mixSrc_color_mixMap_src,mixSrc_color_range,mixSrc_color_mixMap_ch) + : calcMixCirclePower(mixSrc_color_position,mixSrc_color_radius,mixSrc_color_range)) * mixSrc_color_factor) + : usf_FragColor; + + + usf_FragColor = mixSrc_alpha + ? mix(usf_FragColor, mixSrcColor, + (mixSrc_alpha_mixMap + ? calcMixMapPower(mixSrc_alpha_mixMap_src,mixSrc_alpha_range,mixSrc_alpha_mixMap_ch) + : calcMixCirclePower(mixSrc_alpha_position,mixSrc_alpha_radius,mixSrc_alpha_range)) * mixSrc_alpha_factor * mixSrcColor.a) + : usf_FragColor; + +#endif`,it=`#ifdef USF_USE_MIXDST + varying vec2 vMixDstCoverUv; + uniform vec2 mixDst_fitScale; +#endif`,ot=`#ifdef USF_USE_MIXDST + vMixDstCoverUv = calcSrcUv(vUv, mixDst_fitScale); +#endif`,ct=`#ifdef USF_USE_MIXDST + + varying vec2 vMixDstCoverUv; + uniform sampler2D mixDst_src; + uniform int mixDst_fit; + + uniform bool mixDst_uv; + uniform int mixDst_uv_ch; + uniform float mixDst_uv_factor; + uniform vec2 mixDst_uv_offset; + uniform float mixDst_uv_radius; + uniform vec2 mixDst_uv_position; + uniform vec2 mixDst_uv_range; + uniform bool mixDst_uv_mixMap; + uniform sampler2D mixDst_uv_mixMap_src; + uniform int mixDst_uv_mixMap_ch; + + uniform bool mixDst_color; + uniform float mixDst_color_factor; + uniform float mixDst_color_radius; + uniform vec2 mixDst_color_position; + uniform vec2 mixDst_color_range; + uniform bool mixDst_color_mixMap; + uniform sampler2D mixDst_color_mixMap_src; + uniform int mixDst_color_mixMap_ch; + + uniform bool mixDst_alpha; + uniform float mixDst_alpha_factor; + uniform float mixDst_alpha_radius; + uniform vec2 mixDst_alpha_position; + uniform vec2 mixDst_alpha_range; + uniform bool mixDst_alpha_mixMap; + uniform sampler2D mixDst_alpha_mixMap_src; + uniform int mixDst_alpha_mixMap_ch; + +#endif`,ut=`#ifdef USF_USE_MIXDST + + + vec2 mixedUv = vMixDstCoverUv; + mixedUv += mixDst_uv + ? (mixDst_uv_offset + (vec2(usf_FragColor[mixDst_uv_ch]) * 2. - 1.)) * + (mixDst_uv_mixMap + ? calcMixMapPower(mixDst_uv_mixMap_src,mixDst_uv_range,mixDst_uv_mixMap_ch) + : calcMixCirclePower(mixDst_uv_position,mixDst_uv_radius,mixDst_uv_range)) * mixDst_uv_factor + : vec2(0.); + vec4 mixDstColor = fitTexture(mixDst_src, mixedUv , mixDst_fit); + + + usf_FragColor = mixDst_color + ? mix(usf_FragColor, mixDstColor, + (mixDst_color_mixMap + ? calcMixMapPower(mixDst_color_mixMap_src,mixDst_color_range,mixDst_color_mixMap_ch) + : calcMixCirclePower(mixDst_color_position,mixDst_color_radius,mixDst_color_range)) * mixDst_color_factor) + : usf_FragColor; + + + usf_FragColor = mixDst_alpha + ? mix(usf_FragColor, mixDstColor, + (mixDst_alpha_mixMap + ? calcMixMapPower(mixDst_alpha_mixMap_src,mixDst_alpha_range,mixDst_alpha_mixMap_ch) + : calcMixCirclePower(mixDst_alpha_position,mixDst_alpha_radius,mixDst_alpha_range)) * mixDst_alpha_factor * mixDstColor.a) + : usf_FragColor; + +#endif`,lt=`#ifdef USF_USE_TEXTURE + vTextureCoverUv = calcSrcUv(vUv, texture_fitScale); +#endif`,ft=`#ifdef USF_USE_TEXTURE + varying vec2 vTextureCoverUv; + uniform vec2 texture_fitScale; +#endif`,_t=`#ifdef USF_USE_TEXTURE + varying vec2 vTextureCoverUv; + uniform sampler2D texture_src; + uniform int texture_fit; + uniform vec2 texture_fitScale; +#endif`,vt=`#ifdef USF_USE_LEVELS + usf_FragColor = (usf_FragColor - vec4(levels_shadows)) / (vec4(levels_highlights) - vec4(levels_shadows)); + usf_FragColor = pow(usf_FragColor, vec4(1.0 / levels_midtones)); + usf_FragColor = usf_FragColor * (vec4(levels_outputMax) - vec4(levels_outputMin)) + vec4(levels_outputMin); +#endif - return w2( a ) + w3( a ); +#ifdef USF_USE_CONTRAST + usf_FragColor = clamp(((usf_FragColor-.5)*contrast_factor)+.5, 0., 1.); +#endif - } +#ifdef USF_USE_COLORBALANCE + usf_FragColor.rgb = clamp(usf_FragColor.rgb * colorBalance_factor, 0., 1.); +#endif - - float h0( float a ) { +#ifdef USF_USE_HSV + vec3 hsv = rgb2hsv(usf_FragColor.rgb); + hsv.x = fract(hsv.x + hsv_hueShift); + hsv.y = clamp(hsv.y * hsv_saturation, 0.0, 1.0); + hsv.z = clamp(hsv.z * hsv_brightness, 0.0, 1.0); + usf_FragColor.rgb = hsv2rgb(hsv); +#endif - return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) ); +#ifdef USF_USE_POSTERIZE + usf_FragColor = posterize(usf_FragColor, posterize_levels); +#endif - } +#ifdef USF_USE_GRAYSCALE + float grayscale = dot(usf_FragColor.rgb, vec3(0.299 + grayscale_weight.r, 0.587 + grayscale_weight.g, 0.114 + grayscale_weight.b)); + grayscale = grayscale_threshold > 0.0 ? step(grayscale_threshold, grayscale) : grayscale; + vec3 duotoneColor = mix(grayscale_duotone_color0, grayscale_duotone_color1, grayscale); + usf_FragColor.rgb = grayscale_duotone ? duotoneColor : vec3(grayscale); +#endif`,mt=`#ifdef USF_USE_LEVELS + uniform vec4 levels_shadows; + uniform vec4 levels_midtones; + uniform vec4 levels_highlights; + uniform vec4 levels_outputMin; + uniform vec4 levels_outputMax; +#endif - float h1( float a ) { +#ifdef USF_USE_CONTRAST + uniform vec4 contrast_factor; +#endif - return 1.0 + w3( a ) / ( w2( a ) + w3( a ) ); +#ifdef USF_USE_COLORBALANCE + uniform vec3 colorBalance_factor; +#endif +#ifdef USF_USE_HSV + uniform float hsv_hueShift; + uniform float hsv_saturation; + uniform float hsv_brightness; + vec3 hsv2rgb(vec3 c) + { + vec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0); + vec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www); + return c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y); } - - vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) { - - uv = uv * texelSize.zw + 0.5; - - vec2 iuv = floor( uv ); - vec2 fuv = fract( uv ); - - float g0x = g0( fuv.x ); - float g1x = g1( fuv.x ); - float h0x = h0( fuv.x ); - float h1x = h1( fuv.x ); - float h0y = h0( fuv.y ); - float h1y = h1( fuv.y ); - - vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; - vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; - vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; - vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; - - return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) + - g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) ); - + vec3 rgb2hsv(vec3 c) + { + vec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0); + vec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, K.xy), step(c.b, c.g)); + vec4 q = mix(vec4(p.xyw, c.r), vec4(c.r, p.yzx), step(p.x, c.r)); + + float d = q.x - min(q.w, q.y); + float e = 1.0e-10; + return vec3(abs(q.z + (q.w - q.y) / (6.0 * d + e)), d / (q.x + e), q.x); } +#endif - vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) { - - vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) ); - vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) ); - vec2 fLodSizeInv = 1.0 / fLodSize; - vec2 cLodSizeInv = 1.0 / cLodSize; - vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) ); - vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) ); - return mix( fSample, cSample, fract( lod ) ); - +#ifdef USF_USE_POSTERIZE + uniform vec4 posterize_levels; + vec4 posterize(vec4 color, vec4 levels) + { + return vec4( + levels.x > 1. ? floor(color.r * levels.x) / levels.x : color.r, + levels.y > 1. ? floor(color.g * levels.y) / levels.y : color.g, + levels.z > 1. ? floor(color.b * levels.z) / levels.z : color.b, + levels.w > 1. ? floor(color.a * levels.w) / levels.w : color.a + ); } +#endif - vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) { - +#ifdef USF_USE_GRAYSCALE + uniform vec3 grayscale_weight; + uniform bool grayscale_duotone; + uniform vec3 grayscale_duotone_color0; + uniform vec3 grayscale_duotone_color1; + uniform float grayscale_threshold; +#endif`,pt=`vec2 calcSrcUv(vec2 uv, vec2 fitScale) { + return uv * fitScale + (1.0 - fitScale) * .5; +}`;const xt=Object.freeze({plane_vertex:Qe,srcSystem_pars_vertex:Ye,srcSystem_pars_fragment:We,default_vertex:Ze,default_pars_vertex:Je,default_pars_fragment:et,mixSrc_vertex:rt,mixSrc_pars_vertex:tt,mixSrc_pars_fragment:at,mixSrc_fragment_begin:nt,mixSrc_fragment_end:st,mixDst_pars_vertex:it,mixDst_vertex:ot,mixDst_pars_fragment:ct,mixDst_fragment:ut,texture_vertex:lt,texture_pars_vertex:ft,texture_pars_fragment:_t,adjustments_fragment:vt,adjustments_pars_fragment:mt,calcSrcUv:pt});function E(e){return e.filter(t=>t!=="").join(` +`)}function ne(e,t,r){let a,n;const i={default:{vertexPars:g.default_pars_vertex,vertexMain:g.default_vertex,fragmentPars:g.default_pars_fragment},basicFx:{vertexPars:g.basicFx_pars_vertex,vertexMain:g.basicFx_vertex,fragmentPars:g.basicFx_pars_fragment},samplingFx:{vertexPars:E([g.basicFx_pars_vertex,g.samplingFx_pars_vertex]),vertexMain:E([g.basicFx_vertex,g.samplingFx_vertex]),fragmentPars:E([g.basicFx_pars_fragment,g.samplingFx_pars_fragment])}},s=i[r].vertexPars,c=i[r].vertexMain,u=i[r].fragmentPars;return e&&(a=E([s,e]),a=a.replace(/void\s+main\s*\(\)\s*\{/,`void main() { +${c}`)),t&&(n=E([u,t])),[a,n]}const dt=/^[ \t]*#usf +<([\w\d./]+)>/gm;function ht(e,t){return se(xt[t]||"")}function se(e){return e.replace(dt,ht)}function gt(e){return e&&Be.some(t=>e[t]===!0)}function St(e){const t={},r=(a,n="")=>{for(const[i,s]of Object.entries(a)){const c=n?`${n}_${i}`:i;s&&typeof s=="object"&&!Array.isArray(s)&&!gt(s)?(t[c]=!0,r(s,c)):(t.hasOwnProperty(c)&&$(`${c} already exists and will be overwritten.`),t[c]=s)}};return r(e),t}class C extends o.ShaderMaterial{constructor({uniformValues:t,materialParameters:r={},uniforms:a,vertexShader:n,fragmentShader:i}={}){super(r),this.uniforms={resolution:{value:new o.Vector2},texelSize:{value:new o.Vector2},aspectRatio:{value:0},maxAspect:{value:new o.Vector2},renderCount:{value:0},...a},this._setupShaders(n,i),this.setUniformValues(t),this._defineUniformAccessors()}updateResolution(t,r){const a=Math.max(t,r);this.uniforms.resolution.value.set(t,r),this.uniforms.texelSize.value.set(1/t,1/r),this.uniforms.aspectRatio.value=t/r,this.uniforms.maxAspect.value.set(a/t,a/r)}_setupShaders(t,r){if(!t&&!r)return;const[a,n]=ne(t,r,"default");this.vertexShader=a?se(a):this.vertexShader,this.fragmentShader=n?se(n):this.fragmentShader}setUniformValues(t){if(t===void 0)return;const r=St(t);for(const[a,n]of Object.entries(r)){if(n===void 0){$(`parameter '${a}' has value of undefined.`);continue}const i=this.uniforms[a];if(i===void 0){$(`'${a}' is not a uniform property of ${this.type}.`);continue}i.value=typeof n=="function"?n(i.value):n}return r}_defineUniformAccessors(t){for(const r of Object.keys(this.uniforms)){if(this.hasOwnProperty(r)){$(`'${r}' is already defined in ${this.type}.`);continue}Object.defineProperty(this,r,{get:()=>this.uniforms[r].value,set:a=>{this.uniforms[r].value=a,t==null||t()}})}}}C.key=o.MathUtils.generateUUID();class ie extends C{constructor({uniforms:t,vertexShader:r,fragmentShader:a,...n}={}){var i;super({...n,uniforms:{...o.UniformsUtils.clone(j),...t}}),this.defines={...(i=n==null?void 0:n.materialParameters)==null?void 0:i.defines},this.programCache=0,this.fxKey=this._setupFxKey(this.uniforms),this._setupFxShaders(r,a)}_setupFxShaders(t,r){if(!t&&!r)return;this._updateFxDefines();const[a,n]=this._handleMergeShaderLib(t,r);super._setupShaders(a,n)}_handleMergeShaderLib(t,r){return ne(t,r,"basicFx")}_updateFxShaders(){if(!this.fxKey)return;const t=this.programCache,{diffCount:r,newFxKey:a}=this._handleUpdateFxShaders();this.programCache+=r,this.fxKey=a,t!==this.programCache&&(this._updateFxDefines(),this.needsUpdate=!0)}_handleUpdateFxShaders(){const t=ae(this.uniforms);return{diffCount:Object.keys(t).filter(a=>this.fxKey[a]!==t[a]).length,newFxKey:t}}_updateFxDefines(){Object.assign(this.defines,this._handleUpdateFxDefines())}_handleUpdateFxDefines(){return fe(this.fxKey)}_isContainsBasicFxValues(t,r){return t?Object.keys(t).some(a=>Object.keys(r??j).includes(a)):!1}_setupFxKey(t){return ae(t)}_calcFitScale(t,r){var c;let a=1;const n=new o.Vector2(1,1),i=this.uniforms.aspectRatio.value,s=(c=t==null?void 0:t.source)==null?void 0:c.data;return s!=null&&s.width&&(s!=null&&s.height)?a=s.width/s.height:a=i,r===1?n.set(Math.min(i/a,1),Math.min(a/i,1)):r===2&&n.set(Math.max(i/a,1),Math.max(a/i,1)),n}_setFitScale(t){const r=this.uniforms;r[`${t}_fitScale`].value=this._calcFitScale(r[`${t}_src`].value,r[`${t}_fit`].value)}_updateFitScale(){var t,r;(t=this.fxKey)!=null&&t.mixSrc&&this._setFitScale("mixSrc"),(r=this.fxKey)!=null&&r.mixDst&&this._setFitScale("mixDst")}setUniformValues(t,r=!0){const a=super.setUniformValues(t);return r&&this._isContainsBasicFxValues(a)&&(this._updateFxShaders(),this._updateFitScale()),a}_defineUniformAccessors(t){super._defineUniformAccessors(()=>{this._updateFxShaders(),this._updateFitScale(),t==null||t()})}updateResolution(t,r){super.updateResolution(t,r),this._updateFitScale()}}const _e=class De extends ie{constructor(t={}){super({...t,vertexShader:Ge,fragmentShader:He,uniforms:{tick:{value:0},scale:{value:.03},timeStrength:{value:.3},noiseOctaves:{value:2},fbmOctaves:{value:2},warpOctaves:{value:2},warpDirection:{value:new o.Vector2(2,2)},warpStrength:{value:8},timeOffset:{value:0}}}),this.type=De.type}static get type(){return"NoiseMaterial"}};_e.key=o.MathUtils.generateUUID();let ve=_e;const me=` + uniform bool bounce; + varying vec2 vL; + varying vec2 vR; + varying vec2 vT; + varying vec2 vB; +`,oe=(e=!0)=>` + vec3 pos = position; + vec2 scale = ${e?"bounce ? vec2(1.,1.) : 1.-texelSize*2.":"1.-texelSize*2."}; + pos.xy = pos.xy * scale; + vUv = vec2(.5)+(pos.xy)*.5; + `,pe=e=>` + vL = vUv - vec2(texelSize.x * ${e}, 0.0); + vR = vUv + vec2(texelSize.x * ${e}, 0.0); + vT = vUv + vec2(0.0, texelSize.y * ${e}); + vB = vUv - vec2(0.0, texelSize.y * ${e}); + `,I={main:` + ${me} + + void main(){ - vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior ); + ${oe()} + ${pe("1.")} + gl_Position = vec4(pos, 1.0); + } + `,poisson:` + ${me} - vec3 modelScale; - modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) ); - modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) ); - modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) ); + void main(){ - - return normalize( refractionVector ) * thickness * modelScale; + ${oe()} + ${pe("2.")} - } + gl_Position = vec4(pos, 1.0); + } + `,advection:` + void main(){ + ${oe(!1)} + gl_Position = vec4(pos, 1.0); + } + `,splat:` + uniform vec2 center; + uniform vec2 radius; + void main(){ + vec2 pos = position.xy * radius * 2.0 * texelSize + center; + gl_Position = vec4(pos, 0.0, 1.0); + } + `};var yt=`uniform float deltaTime; +uniform sampler2D velocity; +uniform float dissipation; - float applyIorToRoughness( const in float roughness, const in float ior ) { +void main(){ + vec2 vel = texture2D(velocity, vUv).xy; + vec2 uv2 = vUv - vel * deltaTime * maxAspect; + vec2 newVel = texture2D(velocity, uv2).xy; + gl_FragColor = vec4(dissipation * newVel, 0.0, 0.0); +}`;class z extends C{constructor(t){super({...t,vertexShader:I.advection,fragmentShader:yt,uniforms:{dissipation:{value:.99},velocity:{value:y},deltaTime:{value:H}}}),this.type=z.type}static get type(){return"AdvectionMaterial"}}var Ft=`uniform float deltaTime; +uniform sampler2D velocity; - - - return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 ); +varying vec2 vL; +varying vec2 vR; +varying vec2 vT; +varying vec2 vB; - } +void main(){ + float L = texture2D(velocity, vL).r; + float R = texture2D(velocity, vR).r; + float B = texture2D(velocity, vB).g; + float T = texture2D(velocity, vT).g; + + float divergence = (R-L + T-B) / 2.0; + gl_FragColor = vec4(divergence / deltaTime); +}`;class N extends C{constructor(t){super({...t,vertexShader:I.main,fragmentShader:Ft,uniforms:{bounce:{value:!0},velocity:{value:y},deltaTime:{value:H}}}),this.type=N.type}static get type(){return"DivergenceMaterial"}}var Mt=`uniform float deltaTime; +uniform sampler2D pressure; +uniform sampler2D velocity; - vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) { +varying vec2 vL; +varying vec2 vR; +varying vec2 vT; +varying vec2 vB; - float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior ); - return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod ); +void main(){ - } + float L = texture2D(pressure, vL).r; + float R = texture2D(pressure, vR).r; + float B = texture2D(pressure, vB).r; + float T = texture2D(pressure, vT).r; - vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) { + vec2 v = texture2D(velocity, vUv).xy; + vec2 gradP = vec2(R - L, T - B) * 0.5; + v = v - gradP * deltaTime; - if ( isinf( attenuationDistance ) ) { + gl_FragColor = vec4(v, 0.0, 1.0); - - return vec3( 1.0 ); +}`;class K extends C{constructor(t){super({...t,vertexShader:I.main,fragmentShader:Mt,uniforms:{bounce:{value:!0},deltaTime:{value:H},pressure:{value:y},velocity:{value:y}}}),this.type=K.type}static get type(){return"PressureMaterial"}}var Ut=`uniform sampler2D pressure; +uniform sampler2D divergence; - } else { +varying vec2 vL; +varying vec2 vR; +varying vec2 vT; +varying vec2 vB; - - vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance; - vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); - return transmittance; +void main(){ - } + float L = texture2D(pressure, vL).r; + float R = texture2D(pressure, vR).r; + float B = texture2D(pressure, vB).r; + float T = texture2D(pressure, vT).r; - } + float div = texture2D(divergence, vUv).r; + + float newP = (L + R + B + T) / 4.0 - div; - vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor, - const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix, - const in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness, - const in vec3 attenuationColor, const in float attenuationDistance ) { + gl_FragColor = vec4(newP); +}`;class X extends C{constructor({customParameters:t,...r}){super({...r,vertexShader:I.poisson,fragmentShader:Ut,uniforms:{bounce:{value:!0},pressure:{value:y},divergence:{value:y}}}),this.iterations=(t==null?void 0:t.iterations)??32,this.type=X.type}static get type(){return"PoissonMaterial"}}var Dt=`uniform vec2 force; +uniform float forceBias; - vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix ); - vec3 refractedRayExit = position + transmissionRay; +void main(){ + gl_FragColor = vec4(force * forceBias * pow(1.0 - clamp(2.0 * distance(vUv, vec2(0.5)), 0.0, 1.0), 2.0), 0.0, 1.0); +}`;class q extends C{constructor(t){super({...t,vertexShader:I.splat,fragmentShader:Dt,uniforms:{forceBias:{value:20},radius:{value:new o.Vector2(50,50)},force:{value:new o.Vector2(0,0)},center:{value:new o.Vector2(0,0)}}}),this.type=q.type,this.blending=o.AdditiveBlending}static get type(){return"SplatMaterial"}}class G extends ie{constructor(t={}){super({...t,vertexShader:` + void main() { + ${g.plane_vertex} + } + `,fragmentShader:` + uniform sampler2D src; + void main() { + vec2 usf_Uv = vUv; + + ${g.basicFx_fragment_begin} - - vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); - vec2 refractionCoords = ndcPos.xy / ndcPos.w; - refractionCoords += 1.0; - refractionCoords /= 2.0; + vec4 usf_FragColor = vec4(length(texture2D(src,usf_Uv).rg)); - - vec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior ); + ${g.basicFx_fragment_end} - vec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance ); - vec3 attenuatedColor = transmittance * transmittedLight.rgb; + gl_FragColor = usf_FragColor; + } + `,uniforms:{src:{value:y}}}),this.type=G.type}static get type(){return"OutputMaterial"}}const H=.008,bt=Object.freeze(Object.defineProperty({__proto__:null,AdvectionMaterial:z,DELTA_TIME:H,DivergenceMaterial:N,OutputMaterial:G,PoissonMaterial:X,PressureMaterial:K,SplatMaterial:q},Symbol.toStringTag,{value:"Module"})),xe={texture:{value:!0},texture_src:{value:y},texture_fit:{value:0},texture_fitScale:{value:new o.Vector2(1,1)}};class de extends ie{constructor({uniforms:t,...r}){super({...r,uniforms:{...o.UniformsUtils.clone(xe),...t}})}_handleMergeShaderLib(t,r){return ne(t,r,"samplingFx")}_isContainsBasicFxValues(t){return super._isContainsBasicFxValues(t,{...j,...xe})}_updateFitScale(){super._updateFitScale(),this._setFitScale("texture")}_setupFxKey(t){const r=super._setupFxKey(t);return r.srcSystem=!0,r}_handleUpdateFxShaders(){const{diffCount:t,newFxKey:r}=super._handleUpdateFxShaders();return r.srcSystem=!0,{diffCount:t,newFxKey:r}}_handleUpdateFxDefines(){return Object.assign(super._handleUpdateFxDefines(),{USF_USE_TEXTURE:!0})}}const he=class be extends de{constructor(t={}){super({...t,vertexShader:` + void main() { + ${g.plane_vertex} + } + `,fragmentShader:` + void main() { + vec2 usf_Uv = vTextureCoverUv; - - vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness ); + ${g.basicFx_fragment_begin} - - - float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0; + vec4 usf_FragColor = fitTexture(texture_src,usf_Uv,texture_fit); - return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor ); + ${g.basicFx_fragment_end} + gl_FragColor = usf_FragColor; + } + `}),this.type=be.type}static get type(){return"BufferMaterial"}};he.key=o.MathUtils.generateUUID();let ge=he;class Q extends C{static get type(){return"RawBlankMaterial"}constructor(t){super(t),this.type=Q.type}}const Se=` + uniform float time; + uniform vec2 pointer; + uniform sampler2D backbuffer; +`;class Y extends C{constructor({vertexShader:t,fragmentShader:r,uniforms:a,...n}){super({...n,vertexShader:t&&E([Se,t]),fragmentShader:r&&E([Se,r]),uniforms:{time:{value:0},pointer:{value:new o.Vector2},backbuffer:{value:new o.Texture},...a}}),this.type=Y.type}static get type(){return"BlankMaterial"}}const Ct=` + void main() { + ${g.plane_vertex} + } +`,wt=` + uniform vec2 count; + uniform bool autoScale; + uniform float tick; + uniform bool shuffle; + uniform float shuffle_frequency; + uniform float shuffle_range; + + uniform bool sprite; + uniform sampler2D sprite_src; + uniform float sprite_length; + uniform float sprite_shuffleSpeed; + + float hash(vec2 p) { + return fract(sin(dot(p, vec2(12.9898, 78.233))) * 43758.5453); } -#endif`,tr=`#ifdef USE_TRANSMISSION - -material.transmission = _transmission; -material.transmissionAlpha = 1.0; -material.thickness = thickness; -material.attenuationDistance = attenuationDistance; -material.attenuationColor = attenuationColor; - -#ifdef USE_TRANSMISSIONMAP - - material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r; - -#endif - -#ifdef USE_THICKNESSMAP - - material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g; - -#endif - -vec3 pos = vWorldPosition; - -vec3 v = normalize( cameraPosition - pos ); -vec3 n = inverseTransformDirection( normal, viewMatrix ); -vec4 transmitted = getIBLVolumeRefraction( - n, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness, - material.attenuationColor, material.attenuationDistance ); + vec2 shuffleIndex(vec2 cellIndex , vec2 count) { -material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission ); + float discreteTime = floor(tick * shuffle_frequency); -float runningSeed = 0.0; -vec3 transmission = vec3(0.0); -float transmissionR, transmissionB, transmissionG; -float randomCoords = rand(runningSeed++); -float thickness_smear = thickness * max(pow(roughnessFactor, 0.33), uAnisotropicBlur); -vec3 distortionNormal = vec3(0.0); -vec3 temporalOffset = vec3(uTime, -uTime, -uTime) * uTemporalDistortion; + float r1 = hash(cellIndex + vec2(0.123, discreteTime)); + float r2 = hash(cellIndex + vec2(0.789, discreteTime)); -if (uDistortion > 0.0) { - distortionNormal = uDistortion * vec3(snoiseFractal(vec3((pos * uDistortionScale + temporalOffset))), snoiseFractal(vec3(pos.zxy * uDistortionScale - temporalOffset)), snoiseFractal(vec3(pos.yxz * uDistortionScale + temporalOffset))); -} + // -range ~ +range + float offsetX = floor(r1 * (shuffle_range * 2.0 + 1.0)) - shuffle_range; + float offsetY = floor(r2 * (shuffle_range * 2.0 + 1.0)) - shuffle_range; + vec2 offset = vec2(offsetX, offsetY); -for (float i = 0.0; i < uRefractionSamples; i ++) { - vec3 sampleNorm = normalize(n + roughnessFactor * roughnessFactor * 2.0 * normalize(vec3(rand(runningSeed++) - 0.5, rand(runningSeed++) - 0.5, rand(runningSeed++) - 0.5)) * pow(rand(runningSeed++), 0.33) + distortionNormal); - - transmissionR = getIBLVolumeRefraction( - sampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples, - material.attenuationColor, material.attenuationDistance - ).r; - transmissionG = getIBLVolumeRefraction( - sampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior * (1.0 + uChromaticAberration * (i + randomCoords) / uRefractionSamples) , material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples, - material.attenuationColor, material.attenuationDistance - ).g; - transmissionB = getIBLVolumeRefraction( - sampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior * (1.0 + 2.0 * uChromaticAberration * (i + randomCoords) / uRefractionSamples), material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples, - material.attenuationColor, material.attenuationDistance - ).b; - transmission.r += transmissionR; - transmission.g += transmissionG; - transmission.b += transmissionB; -} - -transmission /= uRefractionSamples; - -totalDiffuse = mix( totalDiffuse, transmission.rgb, material.transmission ); - -#endif`;const rr=({mat:e,isCustomTransmission:n,parameters:t})=>{e.type==="MeshPhysicalMaterial"&&n&&(t.fragmentShader=t.fragmentShader.replace("#include <transmission_pars_fragment>",`${nr}`),t.fragmentShader=t.fragmentShader.replace("#include <transmission_fragment>",`${tr}`)),e.normalMap||(t.vertexShader=t.vertexShader.replace("void main() {",` - attribute vec4 tangent; - - void main() { - 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a/packages/use-shader-fx/build/use-shader-fx.umd.cjs.map +++ b/packages/use-shader-fx/build/use-shader-fx.umd.cjs.map @@ -1 +1 @@ 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<planeVertex>","precision highp float;\n\nuniform sampler2D uBuffer;\nuniform sampler2D uTexture;\nuniform bool uIsTexture;\nuniform sampler2D uMap;\nuniform bool uIsMap;\nuniform float uMapIntensity;\nuniform float uRadius;\nuniform float uDissipation;\nuniform vec2 uResolution;\nuniform float uSmudge;\nuniform vec2 uMouse;\nuniform vec2 uPrevMouse;\nuniform vec2 uVelocity;\nuniform vec3 uColor;\nuniform float uMotionBlur;\nuniform int uMotionSample;\nuniform bool uIsCursor;\nuniform float uPressureStart;\nuniform float uPressureEnd;\n\nvarying vec2 vUv;\n\nfloat isOnLine(vec2 point, vec2 start, vec2 end, float radius, float pressureStart, float pressureEnd) {\n\t\n\tfloat aspect = uResolution.x / uResolution.y;\n\n\tpoint.x *= aspect;\n\tstart.x *= aspect;\n\tend.x *= aspect;\n\n\tvec2 dir = normalize(end - start);\n\tvec2 n = vec2(dir.y, -dir.x);\n\tvec2 p0 = point - start;\n\t\n\tfloat distToLine = abs(dot(p0, n));\n\tfloat distAlongLine = dot(p0, dir);\n\tfloat totalLength = length(end - start);\n\n\tfloat progress = clamp(distAlongLine / totalLength, 0.0, 1.0);\n\tfloat pressure = mix(pressureStart, pressureEnd, progress);\n\tradius = min(radius,radius * pressure);\n\n\tfloat distFromStart = length(point - start);\n\tfloat distFromEnd = length(point - end);\n\t\n\tbool withinLine = (distToLine < radius && distAlongLine > 0.0 && distAlongLine < totalLength) || distFromStart < radius || distFromEnd < radius;\n\n\treturn float(withinLine);\n}\n\nvec4 createSmudge(vec2 uv){\n\tvec2 offsets[9];\n\toffsets[0] = vec2(-1, -1); offsets[1] = vec2( 0, -1); offsets[2] = vec2( 1, -1);\n\toffsets[3] = vec2(-1, 0); offsets[4] = vec2( 0, 0); offsets[5] = vec2( 1, 0);\n\toffsets[6] = vec2(-1, 1); offsets[7] = vec2( 0, 1); offsets[8] = vec2( 1, 1);\n\n\tfor(int i = 0; i < 9; i++) {\n\t\toffsets[i] = (offsets[i] * uSmudge) / uResolution;\n\t}\t\n\tvec4 smudgedColor = vec4(0.);\n\tfor(int i = 0; i < 9; i++) {\n\t\tsmudgedColor += texture2D(uBuffer, uv + offsets[i]);\n\t}\n\treturn smudgedColor / 9.0;\n}\n\nvec4 createMotionBlur(vec2 uv , vec4 baseColor, vec2 velocity) {\n\tvec2 scaledV = velocity * uMotionBlur;\n\tfor(int i = 1; i < uMotionSample; i++) {\n\t\tfloat t = float(i) / float(uMotionSample - 1);\n\t\tvec2 offset = t * scaledV / uResolution;\n\t\tbaseColor += texture2D(uBuffer, uv + offset);\n\t}\n\treturn baseColor / float(uMotionSample);\n}\n\nvoid main() {\n\n\tvec2 uv = vUv;\n\tif(uIsMap){\n\t\tvec2 mapColor = texture2D(uMap, uv).rg;\n\t\tvec2 normalizedMap = mapColor * 2.0 - 1.0;\n\t\tuv = uv * 2.0 - 1.0;\n\t\tuv *= mix(vec2(1.0), abs(normalizedMap.rg), uMapIntensity);\n\t\tuv = (uv + 1.0) / 2.0;\n\t}\n\tvec2 suv = uv*2.-1.;\n\n\tvec2 velocity = uVelocity * uResolution;\n\n\tfloat radius = max(0.0,uRadius);\n\t\n\tvec4 smudgedColor = uSmudge > 0. ? createSmudge(uv) : texture2D(uBuffer, uv);\n\n\tvec4 motionBlurredColor = uMotionBlur > 0. ? createMotionBlur(uv,smudgedColor, velocity) : smudgedColor;\n\n\tvec4 bufferColor = motionBlurredColor;\n\tbufferColor.a = bufferColor.a < 1e-10 ? 0.0 : bufferColor.a * uDissipation;\n\t\n\tvec4 brushColor = uIsTexture ? texture2D(uTexture, uv) : vec4(uColor,1.);\n\t\n\tfloat onLine = isOnLine(suv, uPrevMouse, uMouse, radius, uPressureStart,uPressureEnd);\n\tfloat isOnLine = length(velocity) > 0. ? onLine : uIsCursor ? onLine : 0.;\n\n\tvec4 finalColor = mix(bufferColor, brushColor, isOnLine);\n\n\tgl_FragColor = finalColor;\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport { Size } from \"../fxs/types\";\n\n/**\n * @params dpr if dpr is set, it returns the resolution which is size multiplied by dpr.\n */\nexport const useResolution = (size: Size, dpr: number | false = false) => {\n const _width = dpr ? size.width * dpr : size.width;\n const _height = dpr ? size.height * dpr : size.height;\n\n const resolution = useMemo(\n () => new THREE.Vector2(_width, _height),\n [_width, _height]\n );\n return resolution;\n};\n","import * as THREE from \"three\";\ntype UniformValue =\n | THREE.CubeTexture\n | THREE.Texture\n | Int32Array\n | Float32Array\n | THREE.Matrix4\n | THREE.Matrix3\n | THREE.Quaternion\n | THREE.Vector4\n | THREE.Vector3\n | THREE.Vector2\n | THREE.Color\n | number\n | boolean\n | Array<any>\n | null\n | undefined;\ntype UniformObject = { [key: string]: { value: UniformValue } };\n\nexport const setUniform =\n <T extends UniformObject>(material: { uniforms: T }) =>\n (key: keyof T, value: UniformValue) => {\n if (value === undefined) {\n return;\n }\n const uniforms = material.uniforms;\n if (uniforms && uniforms[key]) {\n uniforms[key].value = value;\n }\n };\n\nexport type CustomParams = { [uniform: string]: UniformValue };\nexport const setCustomUniform =\n (material: { uniforms: UniformObject }) =>\n (customParams: CustomParams | undefined) => {\n if (customParams === undefined) {\n return;\n }\n Object.keys(customParams).forEach((key) => {\n const uniforms = material.uniforms;\n if (uniforms && uniforms[key]) {\n uniforms[key].value = customParams[key];\n }\n });\n };\n","import * as THREE from \"three\";\nimport { useEffect, useMemo } from \"react\";\n\ntype Object3DConstructor<T, M extends THREE.Material> = new (\n geometry: THREE.BufferGeometry,\n material: M\n) => T;\n\n/**\n * Add geometry and material to Object3D and add them to scene.\n */\nexport const useAddObject = <\n T extends THREE.Object3D,\n M extends THREE.Material\n>(\n scene: THREE.Scene | false,\n geometry: THREE.BufferGeometry,\n material: M,\n Proto: Object3DConstructor<T, M>\n) => {\n const object3D = useMemo(() => {\n const obj = new Proto(geometry, material);\n scene && scene.add(obj);\n return obj;\n }, [geometry, material, Proto, scene]);\n\n useEffect(() => {\n return () => {\n scene && scene.remove(object3D);\n geometry.dispose();\n material.dispose();\n };\n }, [scene, geometry, material, object3D]);\n\n return object3D;\n};\n","import * as THREE from \"three\";\n\nexport const ISDEV = process.env.NODE_ENV === \"development\";\n\nexport const MATERIAL_BASIC_PARAMS = {\n transparent: false,\n depthTest: false,\n depthWrite: false,\n};\n\nexport const DEFAULT_TEXTURE = new THREE.DataTexture(\n new Uint8Array([0, 0, 0, 0]),\n 1,\n 1,\n THREE.RGBAFormat\n);\n","//\tSimplex 4D Noise \n//\tby Ian McEwan, Ashima Arts\n//\nvec4 permute(vec4 x){return mod(((x*34.0)+1.0)*x, 289.0);}\nfloat permute(float x){return floor(mod(((x*34.0)+1.0)*x, 289.0));}\nvec4 taylorInvSqrt(vec4 r){return 1.79284291400159 - 0.85373472095314 * r;}\nfloat taylorInvSqrt(float r){return 1.79284291400159 - 0.85373472095314 * r;}\n\nvec4 grad4(float j, vec4 ip)\n{\n\tconst vec4 ones = vec4(1.0, 1.0, 1.0, -1.0);\n\tvec4 p,s;\n\n\tp.xyz = floor( fract (vec3(j) * ip.xyz) * 7.0) * ip.z - 1.0;\n\tp.w = 1.5 - dot(abs(p.xyz), ones.xyz);\n\ts = vec4(lessThan(p, vec4(0.0)));\n\tp.xyz = p.xyz + (s.xyz*2.0 - 1.0) * s.www; \n\n\treturn p;\n}\n\nfloat simplexNoise4d(vec4 v)\n{\n\tconst vec2 C = vec2( 0.138196601125010504, // (5 - sqrt(5))/20 G4\n\t\t\t\t\t\t\t\t\t0.309016994374947451); // (sqrt(5) - 1)/4 F4\n\t// First corner\n\tvec4 i = floor(v + dot(v, C.yyyy) );\n\tvec4 x0 = v - i + dot(i, C.xxxx);\n\n\t// Other corners\n\n\t// Rank sorting originally contributed by Bill Licea-Kane, AMD (formerly ATI)\n\tvec4 i0;\n\n\tvec3 isX = step( x0.yzw, x0.xxx );\n\tvec3 isYZ = step( x0.zww, x0.yyz );\n\t// i0.x = dot( isX, vec3( 1.0 ) );\n\ti0.x = isX.x + isX.y + isX.z;\n\ti0.yzw = 1.0 - isX;\n\n\t// i0.y += dot( isYZ.xy, vec2( 1.0 ) );\n\ti0.y += isYZ.x + isYZ.y;\n\ti0.zw += 1.0 - isYZ.xy;\n\n\ti0.z += isYZ.z;\n\ti0.w += 1.0 - isYZ.z;\n\n\t// i0 now contains the unique values 0,1,2,3 in each channel\n\tvec4 i3 = clamp( i0, 0.0, 1.0 );\n\tvec4 i2 = clamp( i0-1.0, 0.0, 1.0 );\n\tvec4 i1 = clamp( i0-2.0, 0.0, 1.0 );\n\n\t// x0 = x0 - 0.0 + 0.0 * C \n\tvec4 x1 = x0 - i1 + 1.0 * C.xxxx;\n\tvec4 x2 = x0 - i2 + 2.0 * C.xxxx;\n\tvec4 x3 = x0 - i3 + 3.0 * C.xxxx;\n\tvec4 x4 = x0 - 1.0 + 4.0 * C.xxxx;\n\n\t// Permutations\n\ti = mod(i, 289.0); \n\tfloat j0 = permute( permute( permute( permute(i.w) + i.z) + i.y) + i.x);\n\tvec4 j1 = permute( permute( permute( permute (\n\t\t\t\t\ti.w + vec4(i1.w, i2.w, i3.w, 1.0 ))\n\t\t\t\t+ i.z + vec4(i1.z, i2.z, i3.z, 1.0 ))\n\t\t\t\t+ i.y + vec4(i1.y, i2.y, i3.y, 1.0 ))\n\t\t\t\t+ i.x + vec4(i1.x, i2.x, i3.x, 1.0 ));\n\t// Gradients\n\t// ( 7*7*6 points uniformly over a cube, mapped onto a 4-octahedron.)\n\t// 7*7*6 = 294, which is close to the ring size 17*17 = 289.\n\n\tvec4 ip = vec4(1.0/294.0, 1.0/49.0, 1.0/7.0, 0.0) ;\n\n\tvec4 p0 = grad4(j0, ip);\n\tvec4 p1 = grad4(j1.x, ip);\n\tvec4 p2 = grad4(j1.y, ip);\n\tvec4 p3 = grad4(j1.z, ip);\n\tvec4 p4 = grad4(j1.w, ip);\n\n\t// Normalise gradients\n\tvec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\n\tp0 *= norm.x;\n\tp1 *= norm.y;\n\tp2 *= norm.z;\n\tp3 *= norm.w;\n\tp4 *= taylorInvSqrt(dot(p4,p4));\n\n\t// Mix contributions from the five corners\n\tvec3 m0 = max(0.6 - vec3(dot(x0,x0), dot(x1,x1), dot(x2,x2)), 0.0);\n\tvec2 m1 = max(0.6 - vec2(dot(x3,x3), dot(x4,x4) ), 0.0);\n\tm0 = m0 * m0;\n\tm1 = m1 * m1;\n\treturn 49.0 * ( dot(m0*m0, vec3( dot( p0, x0 ), dot( p1, x1 ), dot( p2, x2 )))\n\t\t\t\t\t\t+ dot(m1*m1, vec2( dot( p3, x3 ), dot( p4, x4 ) ) ) ) ;\n\n}\n\nfloat getWobble(vec3 position)\n{\n\tvec3 warpedPosition = position;\n\twarpedPosition += simplexNoise4d(\n\t\tvec4(\n\t\t\t\tposition * uWarpPositionFrequency,\n\t\t\t\tuTime * uWarpTimeFrequency\n\t\t)\n\t) * uWarpStrength;\n\n\treturn simplexNoise4d(vec4(\n\t\twarpedPosition * uWobblePositionFrequency, // XYZ\n\t\tuTime * uWobbleTimeFrequency // W\n\t)) * uWobbleStrength;\n}","// <www.shadertoy.com/view/XsX3zB>\n//\tby Nikita Miropolskiy\n\n/* discontinuous pseudorandom uniformly distributed in [-0.5, +0.5]^3 */\nvec3 random3(vec3 c) {\n\tfloat j = 4096.0*sin(dot(c,vec3(17.0, 59.4, 15.0)));\n\tvec3 r;\n\tr.z = fract(512.0*j);\n\tj *= .125;\n\tr.x = fract(512.0*j);\n\tj *= .125;\n\tr.y = fract(512.0*j);\n\treturn r-0.5;\n}\n\nconst float F3 = 0.3333333;\nconst float G3 = 0.1666667;\n\nfloat snoise(vec3 p) {\n\n\tvec3 s = floor(p + dot(p, vec3(F3)));\n\tvec3 x = p - s + dot(s, vec3(G3));\n\t\n\tvec3 e = step(vec3(0.0), x - x.yzx);\n\tvec3 i1 = e*(1.0 - e.zxy);\n\tvec3 i2 = 1.0 - e.zxy*(1.0 - e);\n \t\n\tvec3 x1 = x - i1 + G3;\n\tvec3 x2 = x - i2 + 2.0*G3;\n\tvec3 x3 = x - 1.0 + 3.0*G3;\n\t \n\tvec4 w, d;\n\t \n\tw.x = dot(x, x);\n\tw.y = dot(x1, x1);\n\tw.z = dot(x2, x2);\n\tw.w = dot(x3, x3);\n\t \n\tw = max(0.6 - w, 0.0);\n\t \n\td.x = dot(random3(s), x);\n\td.y = dot(random3(s + i1), x1);\n\td.z = dot(random3(s + i2), x2);\n\td.w = dot(random3(s + 1.0), x3);\n\t \n\tw *= w;\n\tw *= w;\n\td *= w;\n\t \n\treturn dot(d, vec4(52.0));\n}\n\nfloat snoiseFractal(vec3 m) {\n\treturn 0.5333333* snoise(m)\n\t\t\t\t+0.2666667* snoise(2.0*m)\n\t\t\t\t+0.1333333* snoise(4.0*m)\n\t\t\t\t+0.0666667* snoise(8.0*m);\n}","float screenAspect = uResolution.x / uResolution.y;\nfloat textureAspect = uTextureResolution.x / uTextureResolution.y;\nvec2 aspectRatio = vec2(\n\tmin(screenAspect / textureAspect, 1.0),\n\tmin(textureAspect / screenAspect, 1.0)\n);\nvec2 uv = vUv * aspectRatio + (1.0 - aspectRatio) * .5;","vec3 mapColor = texture2D(uMap, uv).rgb;\nvec3 normalizedMap = mapColor * 2.0 - 1.0;\n\nuv = uv * 2.0 - 1.0;\nuv *= mix(vec2(1.0), abs(normalizedMap.rg), uMapIntensity);\nuv = (uv + 1.0) / 2.0;","precision highp float;\n\nvarying vec2 vUv;\n\nvoid main() {\n\tvUv = uv;\n\tgl_Position = vec4(position, 1.0);\n}","varying vec2 vUv;\n\nvoid main() {\n\tvUv = uv;\n\tgl_Position = projectionMatrix * modelViewMatrix * vec4(position, 1.0);\n}","vec3 hsv2rgb(vec3 c)\n{\n vec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0);\n vec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www);\n return c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y);\n}","vec3 rgb2hsv(vec3 c)\n{\n vec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0);\n vec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, K.xy), step(c.b, c.g));\n vec4 q = mix(vec4(p.xyw, c.r), vec4(c.r, p.yzx), step(p.x, c.r));\n\n float d = q.x - min(q.w, q.y);\n float e = 1.0e-10;\n return vec3(abs(q.z + (q.w - q.y) / (6.0 * d + e)), d / (q.x + e), q.x);\n}","import wobble3D from \"./shaderChunk/wobble3D.glsl\";\nimport snoise from \"./shaderChunk/snoise.glsl\";\nimport coverTexture from \"./shaderChunk/coverTexture.glsl\";\nimport fxBlending from \"./shaderChunk/fxBlending.glsl\";\nimport planeVertex from \"./shaderChunk/planeVertex.glsl\";\nimport defaultVertex from \"./shaderChunk/defaultVertex.glsl\";\nimport hsv2rgb from \"./shaderChunk/hsv2rgb.glsl\";\nimport rgb2hsv from \"./shaderChunk/rgb2hsv.glsl\";\n\nexport type ShaderChunkTypes =\n | \"wobble3D\"\n | \"snoise\"\n | \"coverTexture\"\n | \"fxBlending\"\n | \"planeVertex\"\n | \"defaultVertex\"\n | \"hsv2rgb\"\n | \"rgb2hsv\";\n\nexport const ShaderChunk: { [K in ShaderChunkTypes]: string } = Object.freeze({\n wobble3D,\n snoise,\n coverTexture,\n fxBlending,\n planeVertex,\n defaultVertex,\n hsv2rgb,\n rgb2hsv,\n});\n","import { ShaderChunk, ShaderChunkTypes } from \"./ShaderChunk\";\n\nconst includePattern = /^[ \\t]*#usf +<([\\w\\d./]+)>/gm;\n\nfunction includeReplacer(match: string, include: ShaderChunkTypes): string {\n return resolveIncludes(ShaderChunk[include] || \"\");\n}\n\nfunction resolveIncludes(string: string): string {\n return string.replace(includePattern, includeReplacer);\n}\n\nexport { resolveIncludes };\n","import { resolveIncludes } from \"../libs/shaders/resolveShaders\";\nimport { OnBeforeInitParameters } from \"../fxs/types\";\n\nexport const createMaterialParameters = (\n parameters: OnBeforeInitParameters,\n onBeforeInit?: (parameters: OnBeforeInitParameters) => void\n) => {\n onBeforeInit && onBeforeInit(parameters);\n parameters.vertexShader = resolveIncludes(parameters.vertexShader);\n parameters.fragmentShader = resolveIncludes(parameters.fragmentShader);\n return parameters;\n};\n","import * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useMemo } from \"react\";\nimport { useResolution } from \"../../../utils/useResolution\";\nimport { setUniform } from \"../../../utils/setUniforms\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n DEFAULT_TEXTURE,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../libs/constants\";\nimport { BRUSH_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class BrushMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uBuffer: { value: THREE.Texture };\n uTexture: { value: THREE.Texture };\n uIsTexture: { value: boolean };\n uMap: { value: THREE.Texture };\n uIsMap: { value: boolean };\n uMapIntensity: { value: number };\n uResolution: { value: THREE.Vector2 };\n uRadius: { value: number };\n uSmudge: { value: number };\n uDissipation: { value: number };\n uMotionBlur: { value: number };\n uMotionSample: { value: number };\n uMouse: { value: number };\n uPrevMouse: { value: number };\n uVelocity: { value: number };\n uColor: { value: THREE.Vector3 | THREE.Color };\n uIsCursor: { value: boolean };\n uPressureStart: { value: number };\n uPressureEnd: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uBuffer: { value: DEFAULT_TEXTURE },\n uResolution: { value: new THREE.Vector2(0, 0) },\n uTexture: { value: DEFAULT_TEXTURE },\n uIsTexture: { value: false },\n uMap: { value: DEFAULT_TEXTURE },\n uIsMap: { value: false },\n uMapIntensity: { value: BRUSH_PARAMS.mapIntensity },\n uRadius: { value: BRUSH_PARAMS.radius },\n uSmudge: { value: BRUSH_PARAMS.smudge },\n uDissipation: { value: BRUSH_PARAMS.dissipation },\n uMotionBlur: { value: BRUSH_PARAMS.motionBlur },\n uMotionSample: { value: BRUSH_PARAMS.motionSample },\n uMouse: { value: new THREE.Vector2(-10, -10) },\n uPrevMouse: { value: new THREE.Vector2(-10, -10) },\n uVelocity: { value: new THREE.Vector2(0, 0) },\n uColor: { value: BRUSH_PARAMS.color },\n uIsCursor: { value: false },\n uPressureStart: { value: 1.0 },\n uPressureEnd: { value: 1.0 },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n // Must be transparent\n transparent: true,\n });\n\n return mat;\n }, [onBeforeInit]) as BrushMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useResolution } from \"./useResolution\";\nimport { useMemo } from \"react\";\nimport { Size } from \"../fxs/types\";\n\nconst getCameraProps = (width: number, height: number) => {\n const frustumSize = height;\n const aspect = width / height;\n const [w, h] = [(frustumSize * aspect) / 2, frustumSize / 2];\n return { width: w, height: h, near: -1000, far: 1000 };\n};\n\nexport const useCamera = (\n size: Size,\n cameraType: \"OrthographicCamera\" | \"PerspectiveCamera\" = \"OrthographicCamera\"\n) => {\n const resolution = useResolution(size);\n const { width, height, near, far } = getCameraProps(\n resolution.x,\n resolution.y\n );\n const camera = useMemo(() => {\n return cameraType === \"OrthographicCamera\"\n ? new THREE.OrthographicCamera(\n -width,\n width,\n height,\n -height,\n near,\n far\n )\n : new THREE.PerspectiveCamera(50, width / height);\n }, [width, height, near, far, cameraType]);\n return camera;\n};\n","import * as THREE from \"three\";\nimport { useCallback, useRef } from \"react\";\n\nexport type PointerValues = {\n currentPointer: THREE.Vector2;\n prevPointer: THREE.Vector2;\n diffPointer: THREE.Vector2;\n velocity: THREE.Vector2;\n isVelocityUpdate: boolean;\n};\n\ntype UpdatePointer = (currentPointer: THREE.Vector2) => PointerValues;\n\n/**\n * @description When given the pointer vector2 from r3f's RootState, it generates an update function that returns {`currentPointer`, `prevPointer`, `diffPointer`, `isVelocityUpdate`, `velocity`}.\n * @description When calling custom in a `useFrame` loop, you can avoid duplication of execution by passing `pointerValues` to the update function of a Pointer-activated fxHook, such as `useBrush`.\n * @param lerp 0~1, lerp intensity (0 to less than 1) , default : `0`\n */\nexport const usePointer = (lerp: number = 0): UpdatePointer => {\n const prevPointer = useRef(new THREE.Vector2(0, 0));\n const diffPointer = useRef(new THREE.Vector2(0, 0));\n const lerpPointer = useRef(new THREE.Vector2(0, 0));\n const lastUpdateTime = useRef<number>(0);\n const velocity = useRef(new THREE.Vector2(0, 0));\n const isMoved = useRef(false);\n\n const updatePointer = useCallback(\n (currentPointer: THREE.Vector2) => {\n const now = performance.now();\n\n // lerp\n let current: THREE.Vector2;\n if (isMoved.current && lerp) {\n lerpPointer.current = lerpPointer.current.lerp(\n currentPointer,\n 1 - lerp\n );\n current = lerpPointer.current.clone();\n } else {\n current = currentPointer.clone();\n lerpPointer.current = current;\n }\n\n // first frame\n if (lastUpdateTime.current === 0) {\n lastUpdateTime.current = now;\n prevPointer.current = current;\n }\n const deltaTime = Math.max(1, now - lastUpdateTime.current);\n lastUpdateTime.current = now;\n\n // get velocity\n velocity.current\n .copy(current)\n .sub(prevPointer.current)\n .divideScalar(deltaTime);\n const isUpdate = velocity.current.length() > 0;\n\n //set prev temp pos\n const prevTemp = isMoved.current\n ? prevPointer.current.clone()\n : current;\n if (!isMoved.current && isUpdate) {\n isMoved.current = true;\n }\n prevPointer.current = current;\n\n return {\n currentPointer: current,\n prevPointer: prevTemp,\n diffPointer: diffPointer.current.subVectors(current, prevTemp),\n velocity: velocity.current,\n isVelocityUpdate: isUpdate,\n };\n },\n [lerp]\n );\n\n return updatePointer;\n};\n","import { useCallback, useRef } from \"react\";\n\ntype SetParams<T> = (newParams?: Partial<T>) => void;\ntype UseParamsReturn<T> = [T, SetParams<T>];\n\n/**\n * @param params Receives an initial value object. With structuredClone, deep copy and set, but if the object contains a function, just set it.\n */\nexport const useParams = <T extends object>(params: T): UseParamsReturn<T> => {\n const isContainsFunctions = (obj: object): boolean =>\n Object.values(obj).some((value) => typeof value === \"function\");\n const paramsRef = useRef(\n isContainsFunctions(params) ? params : structuredClone(params)\n );\n\n const setParams = useCallback<SetParams<T>>((newParams) => {\n if (newParams === undefined) {\n return;\n }\n for (const key in newParams) {\n const paramKey = key as keyof T;\n if (\n paramKey in paramsRef.current &&\n newParams[paramKey] !== undefined &&\n newParams[paramKey] !== null\n ) {\n paramsRef.current[paramKey] = newParams[paramKey]!;\n } else {\n console.error(\n `\"${String(\n paramKey\n )}\" does not exist in the params. or \"${String(\n paramKey\n )}\" is null | undefined`\n );\n }\n }\n }, []);\n return [paramsRef.current, setParams];\n};\n","import * as THREE from \"three\";\nimport { useCallback, useEffect, useMemo, useRef } from \"react\";\nimport { useResolution } from \"./useResolution\";\nimport { Size } from \"../fxs/types\";\n\nexport const FBO_DEFAULT_OPTION: THREE.RenderTargetOptions = {\n depthBuffer: false,\n};\n\nexport type UseFboProps = {\n scene: THREE.Scene;\n camera: THREE.Camera;\n size: Size;\n /** If dpr is set, dpr will be multiplied, default : `false` */\n dpr?: number | false;\n /** Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default : `false` */\n isSizeUpdate?: boolean;\n /** If set, the scene depth will be rendered into buffer.depthTexture. default : `false` */\n depth?: boolean;\n} & THREE.RenderTargetOptions;\n\nexport const renderFBO = ({\n gl,\n fbo,\n scene,\n camera,\n onBeforeRender,\n onSwap,\n}: {\n gl: THREE.WebGLRenderer;\n fbo: THREE.WebGLRenderTarget;\n scene: THREE.Scene;\n camera: THREE.Camera;\n onBeforeRender: () => void;\n onSwap?: () => void;\n}) => {\n gl.setRenderTarget(fbo);\n onBeforeRender();\n gl.clear();\n gl.render(scene, camera);\n onSwap && onSwap();\n gl.setRenderTarget(null);\n gl.clear();\n};\n\ntype UpdateRenderTarget = (\n gl: THREE.WebGLRenderer,\n /** call before FBO is rendered */\n onBeforeRender?: ({ read }: { read: THREE.Texture }) => void\n) => THREE.Texture;\n\ntype UseSingleFBOReturn = [THREE.WebGLRenderTarget, UpdateRenderTarget];\n\n/**\n * @param dpr If dpr is set, dpr will be multiplied, default:false\n * @param isSizeUpdate Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default:false\n * @param depthBuffer Unlike the default in three.js, the default is `false`.\n * @returns [THREE.WebGLRenderTarget , updateFBO] -Receives the RenderTarget as the first argument and the update function as the second argument.\n */\nexport const useSingleFBO = (props: UseFboProps): UseSingleFBOReturn => {\n const {\n scene,\n camera,\n size,\n dpr = false,\n isSizeUpdate = false,\n depth = false,\n ...renderTargetOptions\n } = props;\n\n const renderTarget = useRef<THREE.WebGLRenderTarget>();\n\n const resolution = useResolution(size, dpr);\n\n renderTarget.current = useMemo(\n () => {\n const target = new THREE.WebGLRenderTarget(\n resolution.x,\n resolution.y,\n {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n }\n );\n if (depth) {\n target.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n }\n return target;\n },\n // eslint-disable-next-line react-hooks/exhaustive-deps\n []\n );\n\n if (isSizeUpdate) {\n renderTarget.current?.setSize(resolution.x, resolution.y);\n }\n\n useEffect(() => {\n const temp = renderTarget.current;\n return () => {\n temp?.dispose();\n };\n }, []);\n\n const updateRenderTarget: UpdateRenderTarget = useCallback(\n (gl, onBeforeRender) => {\n const fbo = renderTarget.current!;\n renderFBO({\n gl,\n fbo,\n scene,\n camera,\n onBeforeRender: () =>\n onBeforeRender && onBeforeRender({ read: fbo.texture }),\n });\n return fbo.texture;\n },\n [scene, camera]\n );\n\n return [renderTarget.current, updateRenderTarget];\n};\n","import * as THREE from \"three\";\nimport { useCallback, useEffect, useMemo } from \"react\";\nimport { FBO_DEFAULT_OPTION, UseFboProps, renderFBO } from \"./useSingleFBO\";\nimport { useResolution } from \"./useResolution\";\n\nexport type DoubleRenderTarget = {\n read: THREE.WebGLRenderTarget;\n write: THREE.WebGLRenderTarget;\n};\n\ninterface WebGLDoubleRenderTarget extends DoubleRenderTarget {\n swap: () => void;\n}\n\ntype FBOUpdateFunction = (\n gl: THREE.WebGLRenderer,\n /** call before FBO is rendered */\n onBeforeRender?: ({\n read,\n write,\n }: {\n read: THREE.Texture;\n write: THREE.Texture;\n }) => void\n) => THREE.Texture;\n\ntype UseDoubleFBOReturn = [\n { read: THREE.WebGLRenderTarget; write: THREE.WebGLRenderTarget },\n FBOUpdateFunction\n];\n\n/**\n * @description Custom hook for setting up double buffering with WebGL render targets.\n * @param UseFboProps same as `useSingleFBO`\n */\nexport const useDoubleFBO = (props: UseFboProps): UseDoubleFBOReturn => {\n const {\n scene,\n camera,\n size,\n dpr = false,\n isSizeUpdate = false,\n depth = false,\n ...renderTargetOptions\n } = props;\n\n const resolution = useResolution(size, dpr);\n\n const renderTarget = useMemo<WebGLDoubleRenderTarget>(() => {\n const read = new THREE.WebGLRenderTarget(resolution.x, resolution.y, {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n });\n const write = new THREE.WebGLRenderTarget(resolution.x, resolution.y, {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n });\n\n if (depth) {\n read.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n write.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n }\n\n return {\n read: read,\n write: write,\n swap: function () {\n let temp = this.read;\n this.read = this.write;\n this.write = temp;\n },\n };\n // eslint-disable-next-line react-hooks/exhaustive-deps\n }, []);\n\n if (isSizeUpdate) {\n renderTarget.read?.setSize(resolution.x, resolution.y);\n renderTarget.write?.setSize(resolution.x, resolution.y);\n }\n\n useEffect(() => {\n const temp = renderTarget;\n return () => {\n temp.read?.dispose();\n temp.write?.dispose();\n };\n }, [renderTarget]);\n\n const updateRenderTarget: FBOUpdateFunction = useCallback(\n (gl, onBeforeRender) => {\n const fbo = renderTarget;\n renderFBO({\n gl,\n scene,\n camera,\n fbo: fbo.write!,\n onBeforeRender: () =>\n onBeforeRender &&\n onBeforeRender({\n read: fbo.read!.texture,\n write: fbo.write!.texture,\n }),\n onSwap: () => fbo.swap(),\n });\n return fbo.read?.texture as THREE.Texture;\n },\n [scene, camera, renderTarget]\n );\n\n return [\n { read: renderTarget.read, write: renderTarget.write },\n updateRenderTarget,\n ];\n};\n","import { Dpr } from \"../fxs/types\";\n\nexport const getDpr = (\n dpr: Dpr\n): { shader: number | false; fbo: number | false } => {\n if (typeof dpr === \"number\") {\n return { shader: dpr, fbo: dpr };\n }\n return {\n shader: dpr.shader ?? false,\n fbo: dpr.fbo ?? false,\n };\n};\n","import * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useCallback, useMemo, useRef } from \"react\";\nimport { RootState } from \"@react-three/fiber\";\nimport { PointerValues, usePointer } from \"../../../misc/usePointer\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { DoubleRenderTarget, useDoubleFBO } from \"../../../utils/useDoubleFBO\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type BrushParams = {\n /** Texture applied to the brush, If texture is true, it will take precedence over color , default : `false` */\n texture?: THREE.Texture | false;\n /** You can attach an fx map , default : `false` */\n map?: THREE.Texture | false;\n /** map intensity , default : `0.1` */\n mapIntensity?: number;\n /** size of the stamp, percentage of the size ,default : `0.05` */\n radius?: number;\n /** Strength of smudge effect , default : `0.0`*/\n smudge?: number;\n /** dissipation rate. If set to 1, it will remain. , default : `1.0` */\n dissipation?: number;\n /** Strength of motion blur , default : `0.0` */\n motionBlur?: number;\n /** Number of motion blur samples. Affects performance default : `5` */\n motionSample?: number;\n /** brush color , it accepts a function that returns THREE.Vector3.The function takes velocity:THREE.Vector2 as an argument. , default : `THREE.Vector3(1.0, 1.0, 1.0)` */\n color?:\n | ((velocity: THREE.Vector2) => THREE.Vector3)\n | THREE.Vector3\n | THREE.Color;\n /** Follows the cursor even if it loses speed , default : `false` */\n isCursor?: boolean;\n /** brush pressure (0 to 1) , default : `1.0` */\n pressure?: number;\n /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */\n pointerValues?: PointerValues | false;\n};\n\nexport type BrushObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: DoubleRenderTarget;\n output: THREE.Texture;\n};\n\nexport const BRUSH_PARAMS: BrushParams = Object.freeze({\n texture: false,\n map: false,\n mapIntensity: 0.1,\n radius: 0.05,\n smudge: 0.0,\n dissipation: 1.0,\n motionBlur: 0.0,\n motionSample: 5,\n color: new THREE.Vector3(1.0, 0.0, 0.0),\n isCursor: false,\n pressure: 1.0,\n pointerValues: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBrush = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<BrushParams, BrushObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n const camera = useCamera(size);\n const updatePointer = usePointer();\n const [renderTarget, updateRenderTarget] = useDoubleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<BrushParams>(BRUSH_PARAMS);\n\n const pressureEnd = useRef<number | null>(null);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: BrushParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: BrushParams,\n customParams?: CustomParams\n ) => {\n const { gl, pointer } = rootState;\n\n updateParams(newParams, customParams);\n\n if (params.texture!) {\n updateValue(\"uIsTexture\", true);\n updateValue(\"uTexture\", params.texture!);\n } else {\n updateValue(\"uIsTexture\", false);\n }\n\n if (params.map!) {\n updateValue(\"uIsMap\", true);\n updateValue(\"uMap\", params.map!);\n updateValue(\"uMapIntensity\", params.mapIntensity!);\n } else {\n updateValue(\"uIsMap\", false);\n }\n\n updateValue(\"uRadius\", params.radius!);\n updateValue(\"uSmudge\", params.smudge!);\n updateValue(\"uDissipation\", params.dissipation!);\n updateValue(\"uMotionBlur\", params.motionBlur!);\n updateValue(\"uMotionSample\", params.motionSample!);\n\n const pointerValues = params.pointerValues! || updatePointer(pointer);\n\n if (pointerValues.isVelocityUpdate) {\n updateValue(\"uMouse\", pointerValues.currentPointer);\n updateValue(\"uPrevMouse\", pointerValues.prevPointer);\n }\n updateValue(\"uVelocity\", pointerValues.velocity);\n\n const color: THREE.Vector3 | THREE.Color =\n typeof params.color === \"function\"\n ? params.color(pointerValues.velocity)\n : params.color!;\n updateValue(\"uColor\", color);\n\n updateValue(\"uIsCursor\", params.isCursor!);\n\n // pressure\n updateValue(\"uPressureEnd\", params.pressure!);\n if (pressureEnd.current === null) {\n pressureEnd.current = params.pressure!;\n }\n updateValue(\"uPressureStart\", pressureEnd.current);\n pressureEnd.current = params.pressure!;\n\n return updateRenderTarget(gl, ({ read }) => {\n updateValue(\"uBuffer\", read);\n });\n },\n [updateValue, updatePointer, updateRenderTarget, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.read.texture,\n },\n ];\n};\n","varying vec2 vUv;\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform vec2 texelSize;\n\nvoid main () {\n\tvUv = uv;\n\tvL = vUv - vec2(texelSize.x, 0.0);\n\tvR = vUv + vec2(texelSize.x, 0.0);\n\tvT = vUv + vec2(0.0, texelSize.y);\n\tvB = vUv - vec2(0.0, texelSize.y);\n\tgl_Position = vec4(position, 1.0);\n}","precision highp float;\n\nvoid main(){\n\tgl_FragColor = vec4(0.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/init.frag\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../../libs/constants\";\n\nexport const useInitialMaterial = () => {\n const initialMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, []);\n\n return initialMaterial as THREE.ShaderMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uVelocity;\nuniform sampler2D uSource;\nuniform vec2 texelSize;\nuniform float dt;\nuniform float dissipation;\n\nvoid main () {\n\tvec2 coord = vUv - dt * texture2D(uVelocity, vUv).xy * texelSize;\n\tgl_FragColor = vec4(dissipation * texture2D(uSource, coord).rgb,1.);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/advection.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport {\n DEFAULT_TEXTURE,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../../libs/constants\";\nimport { DELTA_TIME } from \"..\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class AdvectionMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uVelocity: { value: THREE.Texture };\n uSource: { value: THREE.Texture };\n texelSize: { value: THREE.Vector2 };\n dt: { value: number };\n dissipation: { value: number };\n };\n}\n\nexport const useAdvectionMaterial = ({ onBeforeInit }: MaterialProps) => {\n const advectionMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uVelocity: { value: DEFAULT_TEXTURE },\n uSource: { value: DEFAULT_TEXTURE },\n texelSize: { value: new THREE.Vector2() },\n dt: { value: DELTA_TIME },\n dissipation: { value: 0.0 },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return advectionMaterial as AdvectionMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform sampler2D uVelocity;\n\nvec2 sampleVelocity(in vec2 uv) {\n\tvec2 clampedUV = clamp(uv, 0.0, 1.0);\n\tvec2 multiplier = vec2(1.0, 1.0);\n\tmultiplier.x = uv.x < 0.0 || uv.x > 1.0 ? -1.0 : 1.0;\n\tmultiplier.y = uv.y < 0.0 || uv.y > 1.0 ? -1.0 : 1.0;\n\treturn multiplier * texture2D(uVelocity, clampedUV).xy;\n}\n\nvoid main () {\n\tfloat L = sampleVelocity(vL).x;\n\tfloat R = sampleVelocity(vR).x;\n\tfloat T = sampleVelocity(vT).y;\n\tfloat B = sampleVelocity(vB).y;\n\tfloat div = 0.5 * (R - L + T - B);\n\tgl_FragColor = vec4(div, 0.0, 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/divergence.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class DivergenceMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uVelocity: { value: THREE.Texture };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useDivergenceMaterial = ({ onBeforeInit }: MaterialProps) => {\n const divergenceMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uVelocity: { value: null },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]);\n\n return divergenceMaterial as DivergenceMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform sampler2D uPressure;\nuniform sampler2D uDivergence;\n\nvoid main () {\n\tfloat L = texture2D(uPressure, clamp(vL,0.,1.)).x;\n\tfloat R = texture2D(uPressure, clamp(vR,0.,1.)).x;\n\tfloat T = texture2D(uPressure, clamp(vT,0.,1.)).x;\n\tfloat B = texture2D(uPressure, clamp(vB,0.,1.)).x;\n\tfloat C = texture2D(uPressure, vUv).x;\n\tfloat divergence = texture2D(uDivergence, vUv).x;\n\tfloat pressure = (L + R + B + T - divergence) * 0.25;\n\tgl_FragColor = vec4(pressure, 0.0, 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/pressure.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class PressureMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uPressure: { value: THREE.Texture };\n uDivergence: { value: THREE.Texture };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const usePressureMaterial = ({ onBeforeInit }: MaterialProps) => {\n const pressureMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uPressure: { value: null },\n uDivergence: { value: null },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return pressureMaterial as PressureMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform sampler2D uVelocity;\n\nvoid main () {\n\tfloat L = texture2D(uVelocity, vL).y;\n\tfloat R = texture2D(uVelocity, vR).y;\n\tfloat T = texture2D(uVelocity, vT).x;\n\tfloat B = texture2D(uVelocity, vB).x;\n\tfloat vorticity = R - L - T + B;\n\tgl_FragColor = vec4(vorticity, 0.0, 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/curl.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class CurlMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uVelocity: { value: THREE.Texture };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useCurlMaterial = ({ onBeforeInit }: MaterialProps) => {\n const curlMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uVelocity: { value: null },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return curlMaterial as CurlMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform sampler2D uVelocity;\nuniform sampler2D uCurl;\nuniform float curl;\nuniform float dt;\n\nvoid main () {\n\tfloat T = texture2D(uCurl, vT).x;\n\tfloat B = texture2D(uCurl, vB).x;\n\tfloat C = texture2D(uCurl, vUv).x;\n\tvec2 force = vec2(abs(T) - abs(B), 0.0);\n\tforce *= 1.0 / length(force + 0.00001) * curl * C;\n\tvec2 vel = texture2D(uVelocity, vUv).xy;\n\tgl_FragColor = vec4(vel + force * dt, 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/vorticity.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../../libs/constants\";\nimport { DELTA_TIME } from \"..\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class VorticityMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uVelocity: { value: THREE.Texture };\n uCurl: { value: THREE.Texture };\n curl: { value: number };\n dt: { value: number };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useVorticityMaterial = ({ onBeforeInit }: MaterialProps) => {\n const vorticityMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uVelocity: { value: null },\n uCurl: { value: null },\n curl: { value: 0 },\n dt: { value: DELTA_TIME },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]);\n\n return vorticityMaterial as VorticityMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uTexture;\nuniform float value;\n\nvoid main () {\n\tgl_FragColor = value * texture2D(uTexture, vUv);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/clear.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class ClearMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n value: { value: number };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useClearMaterial = ({ onBeforeInit }: MaterialProps) => {\n const advectionMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n value: { value: 0.0 },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return advectionMaterial as ClearMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\nuniform sampler2D uPressure;\nuniform sampler2D uVelocity;\n\nvoid main () {\n\tfloat L = texture2D(uPressure, clamp(vL,0.,1.)).x;\n\tfloat R = texture2D(uPressure, clamp(vR,0.,1.)).x;\n\tfloat T = texture2D(uPressure, clamp(vT,0.,1.)).x;\n\tfloat B = texture2D(uPressure, clamp(vB,0.,1.)).x;\n\tvec2 velocity = texture2D(uVelocity, vUv).xy;\n\tvelocity.xy -= vec2(R - L, T - B);\n\tgl_FragColor = vec4(velocity, 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/gradientSubtract.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class GradientSubtractMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uPressure: { value: THREE.Texture };\n uVelocity: { value: THREE.Texture };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useGradientSubtractMaterial = ({\n onBeforeInit,\n}: MaterialProps) => {\n const gradientSubtractMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uPressure: { value: DEFAULT_TEXTURE },\n uVelocity: { value: DEFAULT_TEXTURE },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return gradientSubtractMaterial as GradientSubtractMaterial;\n};\n","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uTarget;\nuniform float aspectRatio;\nuniform vec3 color;\nuniform vec2 point;\nuniform float radius;\n\nvoid main () {\n\tvec2 nPoint = (point + vec2(1.0)) * 0.5;\n\tvec2 p = vUv - nPoint.xy;\n\tp.x *= aspectRatio;\n\tvec3 splat = exp(-dot(p, p) / radius) * color;\n\tvec3 base = texture2D(uTarget, vUv).xyz;\n\tgl_FragColor = vec4(base + splat, 1.0);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/splat.frag\";\nimport { MaterialProps } from \"../../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class SplatMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTarget: { value: THREE.Texture };\n aspectRatio: { value: number };\n color: { value: THREE.Vector3 | THREE.Color };\n point: { value: THREE.Vector2 };\n radius: { value: number };\n texelSize: { value: THREE.Vector2 };\n };\n}\n\nexport const useSplatMaterial = ({ onBeforeInit }: MaterialProps) => {\n const splatMaterial = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTarget: { value: DEFAULT_TEXTURE },\n aspectRatio: { value: 0 },\n color: { value: new THREE.Vector3() },\n point: { value: new THREE.Vector2() },\n radius: { value: 0.0 },\n texelSize: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]);\n\n return splatMaterial as SplatMaterial;\n};\n","import * as THREE from \"three\";\nimport { useCallback, useEffect, useMemo } from \"react\";\nimport { useInitialMaterial } from \"./materials/useInitialMaterial\";\nimport {\n AdvectionMaterial,\n useAdvectionMaterial,\n} from \"./materials/useAdvectionMaterial\";\nimport {\n DivergenceMaterial,\n useDivergenceMaterial,\n} from \"./materials/useDivergenceMaterial\";\nimport {\n PressureMaterial,\n usePressureMaterial,\n} from \"./materials/usePressureMaterial\";\nimport { CurlMaterial, useCurlMaterial } from \"./materials/useCurlMaterial\";\nimport {\n VorticityMaterial,\n useVorticityMaterial,\n} from \"./materials/useVorticityMaterial\";\nimport { useResolution } from \"../../../utils/useResolution\";\nimport { ClearMaterial, useClearMaterial } from \"./materials/useClearMaterial\";\nimport {\n GradientSubtractMaterial,\n useGradientSubtractMaterial,\n} from \"./materials/useGradientSubtractMaterial\";\nimport { SplatMaterial, useSplatMaterial } from \"./materials/useSplatMaterial\";\nimport { CustomParams, setUniform } from \"../../../utils/setUniforms\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\n\ntype TMaterials =\n | AdvectionMaterial\n | DivergenceMaterial\n | CurlMaterial\n | PressureMaterial\n | ClearMaterial\n | GradientSubtractMaterial\n | SplatMaterial;\n\nexport type FluidMaterials = {\n vorticityMaterial: VorticityMaterial;\n curlMaterial: CurlMaterial;\n advectionMaterial: AdvectionMaterial;\n divergenceMaterial: DivergenceMaterial;\n pressureMaterial: PressureMaterial;\n clearMaterial: ClearMaterial;\n gradientSubtractMaterial: GradientSubtractMaterial;\n splatMaterial: SplatMaterial;\n};\n\nexport type CustomizableKeys =\n | \"advection\"\n | \"splat\"\n | \"curl\"\n | \"vorticity\"\n | \"divergence\"\n | \"clear\"\n | \"pressure\"\n | \"gradientSubtract\";\n\nexport type CustomFluidProps = {\n [K in CustomizableKeys]?: MaterialProps;\n};\nexport type CustomFluidParams = {\n [K in CustomizableKeys]?: CustomParams;\n};\n\nconst useCustomMaterial = <T extends THREE.Material>(\n materialHook: (materialProps: MaterialProps) => T,\n materialProps?: MaterialProps\n) => {\n return materialHook(materialProps ?? {});\n};\n\n/**\n * Returns the material update function in the second argument\n */\nexport const useMesh = ({\n scene,\n size,\n dpr,\n customFluidProps,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n customFluidProps?: CustomFluidProps;\n}) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n\n const {\n curl,\n vorticity,\n advection,\n divergence,\n pressure,\n clear,\n gradientSubtract,\n splat,\n } = customFluidProps ?? {};\n\n const initialMaterial = useCustomMaterial(useInitialMaterial);\n const updateMaterial = initialMaterial.clone();\n const curlMaterial = useCustomMaterial(useCurlMaterial, curl);\n const vorticityMaterial = useCustomMaterial(useVorticityMaterial, vorticity);\n const advectionMaterial = useCustomMaterial(useAdvectionMaterial, advection);\n const divergenceMaterial = useCustomMaterial(\n useDivergenceMaterial,\n divergence\n );\n const pressureMaterial = useCustomMaterial(usePressureMaterial, pressure);\n const clearMaterial = useCustomMaterial(useClearMaterial, clear);\n const gradientSubtractMaterial = useCustomMaterial(\n useGradientSubtractMaterial,\n gradientSubtract\n );\n const splatMaterial = useCustomMaterial(useSplatMaterial, splat);\n const materials = useMemo(\n () => ({\n vorticityMaterial,\n curlMaterial,\n advectionMaterial,\n divergenceMaterial,\n pressureMaterial,\n clearMaterial,\n gradientSubtractMaterial,\n splatMaterial,\n }),\n [\n vorticityMaterial,\n curlMaterial,\n advectionMaterial,\n divergenceMaterial,\n pressureMaterial,\n clearMaterial,\n gradientSubtractMaterial,\n splatMaterial,\n ]\n );\n\n const resolution = useResolution(size, dpr);\n useMemo(() => {\n setUniform(materials.splatMaterial)(\n \"aspectRatio\",\n resolution.x / resolution.y\n );\n for (const material of Object.values(materials)) {\n setUniform<typeof material.uniforms>(material)(\n \"texelSize\",\n new THREE.Vector2(1.0 / resolution.x, 1.0 / resolution.y)\n );\n }\n }, [resolution, materials]);\n\n const mesh = useAddObject(scene, geometry, initialMaterial, THREE.Mesh);\n\n useMemo(() => {\n initialMaterial.dispose();\n mesh.material = updateMaterial;\n }, [initialMaterial, mesh, updateMaterial]);\n\n useEffect(() => {\n return () => {\n for (const material of Object.values(materials)) {\n material.dispose();\n }\n };\n }, [materials]);\n\n const setMeshMaterial = useCallback(\n (material: TMaterials) => {\n mesh.material = material;\n mesh.material.needsUpdate = true;\n },\n [mesh]\n );\n\n return { materials, setMeshMaterial, mesh };\n};\n","import * as THREE from \"three\";\nimport {\n CustomizableKeys,\n FluidMaterials,\n CustomFluidProps,\n CustomFluidParams,\n useMesh,\n} from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useCallback, useMemo, useRef } from \"react\";\nimport { PointerValues, usePointer } from \"../../../misc/usePointer\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { UseFboProps } from \"../../../utils/useSingleFBO\";\nimport { DoubleRenderTarget, useDoubleFBO } from \"../../../utils/useDoubleFBO\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport const DELTA_TIME = 0.016;\n\nexport type FluidParams = {\n /** density disspation , default : `0.98` */\n densityDissipation?: number;\n /** velocity dissipation , default : `0.99` */\n velocityDissipation?: number;\n /** velocity acceleration , default : `10.0` */\n velocityAcceleration?: number;\n /** pressure dissipation , default : `0.9` */\n pressureDissipation?: number;\n /** pressure iterations. affects performance , default : `20` */\n pressureIterations?: number;\n /** curl_strength , default : `35` */\n curlStrength?: number;\n /** splat radius , default : `0.002` */\n splatRadius?: number;\n /** Fluid Color.THREE.Vector3 Alternatively, it accepts a function that returns THREE.Vector3.The function takes velocity:THREE.Vector2 as an argument. , default : `THREE.Vector3(1.0, 1.0, 1.0)` */\n fluidColor?:\n | ((velocity: THREE.Vector2) => THREE.Vector3)\n | THREE.Vector3\n | THREE.Color;\n /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */\n pointerValues?: PointerValues | false;\n};\n\nexport type FluidObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n materials: FluidMaterials;\n camera: THREE.Camera;\n renderTarget: {\n velocity: DoubleRenderTarget;\n density: DoubleRenderTarget;\n curl: THREE.WebGLRenderTarget;\n divergence: THREE.WebGLRenderTarget;\n pressure: DoubleRenderTarget;\n };\n output: THREE.Texture;\n};\n\nexport const FLUID_PARAMS: FluidParams = Object.freeze({\n densityDissipation: 0.98,\n velocityDissipation: 0.99,\n velocityAcceleration: 10.0,\n pressureDissipation: 0.9,\n pressureIterations: 20,\n curlStrength: 35,\n splatRadius: 0.002,\n fluidColor: new THREE.Vector3(1.0, 1.0, 1.0),\n pointerValues: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useFluid = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n customFluidProps,\n}: {\n /** you can add `onBeforeInit` of the next material.`initial`,`curl`,`vorticity`,`advection`,`divergence`,`pressure`,`clear`,`gradientSubtract`,`splat` \n\t * ```ts\n\t * customFluidProps: {\n vorticity: {\n onBeforeInit: (parameters) => console.log(parameters),\n },\n },\n\t * ```\n\t*/\n customFluidProps?: CustomFluidProps;\n} & HooksProps): HooksReturn<FluidParams, FluidObject, CustomFluidParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { materials, setMeshMaterial, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n customFluidProps,\n });\n const camera = useCamera(size);\n const updatePointer = usePointer();\n\n const fboProps = useMemo<UseFboProps>(\n () => ({\n scene,\n camera,\n dpr: _dpr.fbo,\n size,\n isSizeUpdate,\n type: THREE.HalfFloatType,\n ...renderTargetOptions,\n }),\n [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions]\n );\n const [velocityFBO, updateVelocityFBO] = useDoubleFBO(fboProps);\n const [densityFBO, updateDensityFBO] = useDoubleFBO(fboProps);\n const [curlFBO, updateCurlFBO] = useSingleFBO(fboProps);\n const [divergenceFBO, updateDivergenceFBO] = useSingleFBO(fboProps);\n const [pressureFBO, updatePressureFBO] = useDoubleFBO(fboProps);\n\n const scaledDiffVec = useRef(new THREE.Vector2(0, 0));\n const spaltVec = useRef(new THREE.Vector3(0, 0, 0));\n\n const [params, setParams] = useParams<FluidParams>(FLUID_PARAMS);\n\n // setUniform\n const updateParamsList = useMemo(\n () => ({\n advection: setUniform(materials.advectionMaterial),\n splat: setUniform(materials.splatMaterial),\n curl: setUniform(materials.curlMaterial),\n vorticity: setUniform(materials.vorticityMaterial),\n divergence: setUniform(materials.divergenceMaterial),\n clear: setUniform(materials.clearMaterial),\n pressure: setUniform(materials.pressureMaterial),\n gradientSubtract: setUniform(materials.gradientSubtractMaterial),\n }),\n [materials]\n );\n // customSetUniform\n const updateCustomParamsList = useMemo<{\n [K in CustomizableKeys]: (customParams: CustomParams | undefined) => void;\n }>(\n () => ({\n advection: setCustomUniform(materials.advectionMaterial),\n splat: setCustomUniform(materials.splatMaterial),\n curl: setCustomUniform(materials.curlMaterial),\n vorticity: setCustomUniform(materials.vorticityMaterial),\n divergence: setCustomUniform(materials.divergenceMaterial),\n clear: setCustomUniform(materials.clearMaterial),\n pressure: setCustomUniform(materials.pressureMaterial),\n gradientSubtract: setCustomUniform(materials.gradientSubtractMaterial),\n }),\n [materials]\n );\n\n const updateParams = useCallback(\n (newParams?: FluidParams, customParams?: CustomFluidParams) => {\n setParams(newParams);\n if (customParams) {\n Object.keys(customParams).forEach((key) => {\n updateCustomParamsList[key as CustomizableKeys](\n customParams[key as CustomizableKeys]\n );\n });\n }\n },\n [setParams, updateCustomParamsList]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: FluidParams,\n customParams?: CustomFluidParams\n ) => {\n const { gl, pointer, size } = rootState;\n\n updateParams(newParams, customParams);\n\n const velocityTex = updateVelocityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.advectionMaterial);\n updateParamsList.advection(\"uVelocity\", read);\n updateParamsList.advection(\"uSource\", read);\n updateParamsList.advection(\n \"dissipation\",\n params.velocityDissipation!\n );\n });\n\n const densityTex = updateDensityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.advectionMaterial);\n updateParamsList.advection(\"uVelocity\", velocityTex);\n updateParamsList.advection(\"uSource\", read);\n updateParamsList.advection(\n \"dissipation\",\n params.densityDissipation!\n );\n });\n\n const pointerValues = params.pointerValues! || updatePointer(pointer);\n\n if (pointerValues.isVelocityUpdate) {\n updateVelocityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.splatMaterial);\n updateParamsList.splat(\"uTarget\", read);\n updateParamsList.splat(\"point\", pointerValues.currentPointer);\n const scaledDiff = pointerValues.diffPointer.multiply(\n scaledDiffVec.current\n .set(size.width, size.height)\n .multiplyScalar(params.velocityAcceleration!)\n );\n updateParamsList.splat(\n \"color\",\n spaltVec.current.set(scaledDiff.x, scaledDiff.y, 1.0)\n );\n updateParamsList.splat(\"radius\", params.splatRadius!);\n });\n updateDensityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.splatMaterial);\n updateParamsList.splat(\"uTarget\", read);\n const color: THREE.Vector3 | THREE.Color =\n typeof params.fluidColor === \"function\"\n ? params.fluidColor(pointerValues.velocity)\n : params.fluidColor!;\n updateParamsList.splat(\"color\", color);\n });\n }\n\n const curlTex = updateCurlFBO(gl, () => {\n setMeshMaterial(materials.curlMaterial);\n updateParamsList.curl(\"uVelocity\", velocityTex);\n });\n\n updateVelocityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.vorticityMaterial);\n updateParamsList.vorticity(\"uVelocity\", read);\n updateParamsList.vorticity(\"uCurl\", curlTex);\n updateParamsList.vorticity(\"curl\", params.curlStrength!);\n });\n\n const divergenceTex = updateDivergenceFBO(gl, () => {\n setMeshMaterial(materials.divergenceMaterial);\n updateParamsList.divergence(\"uVelocity\", velocityTex);\n });\n\n updatePressureFBO(gl, ({ read }) => {\n setMeshMaterial(materials.clearMaterial);\n updateParamsList.clear(\"uTexture\", read);\n updateParamsList.clear(\"value\", params.pressureDissipation!);\n });\n\n setMeshMaterial(materials.pressureMaterial);\n updateParamsList.pressure(\"uDivergence\", divergenceTex);\n let pressureTexTemp: THREE.Texture;\n for (let i = 0; i < params.pressureIterations!; i++) {\n pressureTexTemp = updatePressureFBO(gl, ({ read }) => {\n updateParamsList.pressure(\"uPressure\", read);\n });\n }\n\n updateVelocityFBO(gl, ({ read }) => {\n setMeshMaterial(materials.gradientSubtractMaterial);\n updateParamsList.gradientSubtract(\"uPressure\", pressureTexTemp);\n updateParamsList.gradientSubtract(\"uVelocity\", read);\n });\n\n return densityTex;\n },\n [\n materials,\n updateParamsList,\n setMeshMaterial,\n updateCurlFBO,\n updateDensityFBO,\n updateDivergenceFBO,\n updatePointer,\n updatePressureFBO,\n updateVelocityFBO,\n params,\n updateParams,\n ]\n );\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n materials: materials,\n camera: camera,\n renderTarget: {\n velocity: velocityFBO,\n density: densityFBO,\n curl: curlFBO,\n divergence: divergenceFBO,\n pressure: pressureFBO,\n },\n output: densityFBO.read.texture,\n },\n ];\n};\n","#usf <defaultVertex>","precision highp float;\n\nuniform sampler2D uMap;\nuniform float uOpacity;\n\nvarying vec2 vUv;\n\nvoid main() {\n\tvec2 uv = vUv;\n\tvec3 color = texture2D(uMap, uv).rgb;\n\tgl_FragColor = vec4(color,uOpacity);\n}","import * as THREE from \"three\";\nimport { useEffect, useMemo } from \"react\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { MaterialProps } from \"../../types\";\nimport {\n DEFAULT_TEXTURE,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\ntype UseMeshProps = {\n scale: number;\n max: number;\n scene: THREE.Scene;\n texture?: THREE.Texture;\n};\n\nexport const useMesh = ({\n scale,\n max,\n texture,\n scene,\n onBeforeInit,\n}: UseMeshProps & MaterialProps) => {\n const geometry = useMemo(\n () => new THREE.PlaneGeometry(scale, scale),\n [scale]\n );\n\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uOpacity: { value: 0.0 },\n uMap: { value: texture || DEFAULT_TEXTURE },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n blending: THREE.AdditiveBlending,\n ...MATERIAL_BASIC_PARAMS,\n // Must be transparent.\n transparent: true,\n });\n return mat;\n }, [texture, onBeforeInit]);\n\n const meshArr = useMemo(() => {\n const temp = [];\n for (let i = 0; i < max; i++) {\n const clonedMat = material.clone();\n const mesh = new THREE.Mesh(geometry.clone(), clonedMat);\n mesh.rotateZ(2 * Math.PI * Math.random());\n mesh.visible = false;\n scene.add(mesh);\n temp.push(mesh);\n }\n return temp;\n }, [geometry, material, scene, max]);\n\n useEffect(() => {\n return () => {\n meshArr.forEach((mesh) => {\n mesh.geometry.dispose();\n if (Array.isArray(mesh.material)) {\n mesh.material.forEach((material) => material.dispose());\n } else {\n mesh.material.dispose();\n }\n scene.remove(mesh);\n });\n };\n }, [scene, meshArr]);\n\n return meshArr;\n};\n","import { useCallback, useMemo, useRef } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport { usePointer, PointerValues } from \"../../../misc/usePointer\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\n\nexport type RippleParams = {\n /** How often ripples appear, default : `0.01` */\n frequency?: number;\n /** rotation rate, default : `0.05` */\n rotation?: number;\n /** fadeout speed, default : `0.9` */\n fadeoutSpeed?: number;\n /** scale rate, default : `0.3` */\n scale?: number;\n /** alpha, default : `0.6` */\n alpha?: number;\n /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */\n pointerValues?: PointerValues | false;\n};\n\nexport type RippleObject = {\n scene: THREE.Scene;\n meshArr: THREE.Mesh[];\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const RIPPLE_PARAMS: RippleParams = Object.freeze({\n frequency: 0.01,\n rotation: 0.05,\n fadeoutSpeed: 0.9,\n scale: 0.3,\n alpha: 0.6,\n pointerValues: false,\n});\n\ninterface UseRippleProps extends HooksProps {\n /** texture applied to ripple */\n texture?: THREE.Texture;\n /** ripple size, default:64 */\n scale?: number;\n /** ripple max length, default:100 */\n max?: number;\n}\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useRipple = ({\n texture,\n scale = 64,\n max = 100,\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: UseRippleProps): HooksReturn<RippleParams, RippleObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n const scene = useMemo(() => new THREE.Scene(), []);\n const meshArr = useMesh({\n scale: scale,\n max: max,\n texture,\n scene,\n onBeforeInit,\n });\n const camera = useCamera(size);\n const updatePointer = usePointer();\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<RippleParams>(RIPPLE_PARAMS);\n\n const currentWave = useRef(0);\n\n const updateParams = useMemo(() => {\n return (newParams?: RippleParams, customParams?: CustomParams) => {\n setParams(newParams);\n meshArr.forEach((mesh) => {\n if (mesh.visible) {\n const material = mesh.material as THREE.ShaderMaterial;\n mesh.rotation.z += params.rotation!;\n mesh.scale.x =\n params.fadeoutSpeed! * mesh.scale.x + params.scale!;\n mesh.scale.y = mesh.scale.x;\n const opacity = material.uniforms.uOpacity.value;\n setUniform(material)(\"uOpacity\", opacity * params.fadeoutSpeed!);\n if (opacity < 0.001) mesh.visible = false;\n }\n setCustomUniform(mesh.material)(customParams);\n });\n };\n }, [meshArr, params, setParams]);\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: RippleParams,\n customParams?: CustomParams\n ) => {\n const { gl, pointer, size } = rootState;\n\n updateParams(newParams, customParams);\n\n const pointerValues = params.pointerValues! || updatePointer(pointer);\n\n if (params.frequency! < pointerValues.diffPointer.length()) {\n const mesh = meshArr[currentWave.current];\n const material = mesh.material as THREE.ShaderMaterial;\n mesh.visible = true;\n mesh.position.set(\n pointerValues.currentPointer.x * (size.width / 2),\n pointerValues.currentPointer.y * (size.height / 2),\n 0\n );\n mesh.scale.x = mesh.scale.y = 0.0;\n setUniform(material)(\"uOpacity\", params.alpha!);\n currentWave.current = (currentWave.current + 1) % max;\n }\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, meshArr, updatePointer, max, params, updateParams]\n );\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n camera: camera,\n meshArr: meshArr,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\nprecision highp int;\n\nvarying vec2 vUv;\nuniform float uTime;\nuniform float timeStrength;\nuniform int noiseOctaves;\nuniform int fbmOctaves;\nuniform int warpOctaves;\nuniform vec2 warpDirection;\nuniform float warpStrength;\nuniform float scale;\n\nconst float per = 0.5;\nconst float PI = 3.14159265359;\n\nfloat rnd(vec2 n) {\n\tfloat a = 0.129898;\n\tfloat b = 0.78233;\n\tfloat c = 437.585453;\n\tfloat dt= dot(n ,vec2(a, b));\n\tfloat sn= mod(dt, PI);\n\treturn fract(sin(sn) * c);\n}\n\nfloat interpolate(float a, float b, float x){\n float f = (1.0 - cos(x * PI)) * 0.5;\n return a * (1.0 - f) + b * f;\n}\n\nfloat irnd(vec2 p){\n\tvec2 i = floor(p);\n\tvec2 f = fract(p);\n\tvec4 v = vec4(rnd(vec2(i.x,i.y)),rnd(vec2(i.x + 1.0,i.y)),rnd(vec2(i.x,i.y + 1.0)),rnd(vec2(i.x + 1.0, i.y + 1.0)));\n\treturn interpolate(interpolate(v.x, v.y, f.x), interpolate(v.z, v.w, f.x), f.y);\n}\n\n// Based on The Book of Shaders\n// https://thebookofshaders.com/13/\nfloat noise(vec2 p, float time){\n\tfloat t = 0.0;\n\tfor(int i = 0; i < noiseOctaves; i++){\n\t\tfloat freq = pow(2.0, float(i));\n\t\tfloat amp = pow(per, float(noiseOctaves - i));\n\t\tt += irnd(vec2(p.y / freq + time, p.x / freq + time)) * amp;\n\t}\n\treturn t;\n}\n\nfloat fbm(vec2 x, float time) {\n\tfloat v = 0.0;\n\tfloat a = 0.5;\n\tvec2 shift = vec2(100);\n\tmat2 rot = mat2(cos(0.5), sin(0.5), -sin(0.5), cos(0.5));\n\tfloat sign = 1.0;\n\tfor (int i = 0; i < fbmOctaves; ++i) {\n\t\tv += a * noise(x, time * sign);\n\t\tx = rot * x * 2.0 + shift;\n\t\ta *= 0.5;\n\t\tsign *= -1.0;\n\t}\n\treturn v;\n}\n\nfloat warp(vec2 x, float g,float time){\n\tfloat val = 0.0;\n\tfor (int i = 0; i < warpOctaves; i++){\n\t\tval = fbm(x + g * vec2(cos(warpDirection.x * val), sin(warpDirection.y * val)), time);\n\t}\n\treturn val;\n}\n\nvoid main() {\n\tfloat noise = warp(gl_FragCoord.xy * scale ,warpStrength,uTime * timeStrength);\n\tgl_FragColor = vec4(vec3(noise),1.0);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../libs/constants\";\nimport { NOISE_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class NoiseMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTime: { value: number };\n scale: { value: number };\n timeStrength: { value: number };\n noiseOctaves: { value: number };\n fbmOctaves: { value: number };\n warpOctaves: { value: number };\n warpDirection: { value: THREE.Vector2 };\n warpStrength: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTime: { value: 0.0 },\n scale: { value: NOISE_PARAMS.scale },\n timeStrength: { value: NOISE_PARAMS.timeStrength },\n noiseOctaves: { value: NOISE_PARAMS.noiseOctaves },\n fbmOctaves: { value: NOISE_PARAMS.fbmOctaves },\n warpOctaves: { value: NOISE_PARAMS.warpOctaves },\n warpDirection: { value: NOISE_PARAMS.warpDirection },\n warpStrength: { value: NOISE_PARAMS.warpStrength },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as NoiseMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type NoiseParams = {\n /** noise scale , default : `0.004` */\n scale?: number;\n /** time factor default : `0.3` */\n timeStrength?: number;\n /** noiseOctaves, affects performance default : `2` */\n noiseOctaves?: number;\n /** fbmOctaves, affects performance default : `2` */\n fbmOctaves?: number;\n /** domain warping octaves , affects performance default : `2` */\n warpOctaves?: number;\n /** direction of domain warping , default : `(2.0,2,0)` */\n warpDirection?: THREE.Vector2;\n /** strength of domain warping , default : `8.0` */\n warpStrength?: number;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n};\n\nexport type NoiseObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const NOISE_PARAMS: NoiseParams = Object.freeze({\n scale: 0.004,\n timeStrength: 0.3,\n noiseOctaves: 2,\n fbmOctaves: 2,\n warpOctaves: 2,\n warpDirection: new THREE.Vector2(2.0, 2.0),\n warpStrength: 8.0,\n beat: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n *\n * It is a basic value noise with `fbm` and `domain warping`\n */\nexport const useNoise = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<NoiseParams, NoiseObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<NoiseParams>(NOISE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: NoiseParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: NoiseParams,\n customParams?: CustomParams\n ) => {\n const { gl, clock } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"scale\", params.scale!);\n updateValue(\"timeStrength\", params.timeStrength!);\n updateValue(\"noiseOctaves\", params.noiseOctaves!);\n updateValue(\"fbmOctaves\", params.fbmOctaves!);\n updateValue(\"warpOctaves\", params.warpOctaves!);\n updateValue(\"warpDirection\", params.warpDirection!);\n updateValue(\"warpStrength\", params.warpStrength!);\n updateValue(\"uTime\", params.beat || clock.getElapsedTime());\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\nvarying vec2 vUv;\n\nuniform sampler2D uTexture;\nuniform bool isTexture;\nuniform sampler2D noise;\nuniform bool isNoise;\nuniform vec2 noiseStrength;\nuniform float laminateLayer;\nuniform vec2 laminateInterval;\nuniform vec2 laminateDetail;\nuniform vec2 distortion;\nuniform vec3 colorFactor;\nuniform float uTime;\nuniform vec2 timeStrength;\nuniform float scale;\n\nvoid main() {\n\tvec2 uv = vUv;\n\n\tvec2 pos = isTexture ? texture2D(uTexture, uv).rg : uv * scale;\n\tvec2 noise = isNoise ? texture2D(noise, uv).rg : vec2(0.0);\n\tfloat alpha = isTexture ? texture2D(uTexture, uv).a : 1.0;\n\t\n\t// Avoid floating point bugs caused by GPU drivers.\n\talpha = (alpha < 1e-10) ? 0.0 : alpha;\n\n\tvec3 col;\n\tfor(float j = 0.0; j < 3.0; j++){\n\t\tfor(float i = 1.0; i < laminateLayer; i++){\n\t\t\tfloat timeNoiseSin = sin(uTime / (i + j)) * timeStrength.x + noise.r * noiseStrength.x;\n\t\t\tfloat timeNoiseCos = cos(uTime / (i + j)) * timeStrength.y + noise.g * noiseStrength.y;\n\t\t\tpos.x += laminateInterval.x / (i + j) * cos(i * distortion.x * pos.y + timeNoiseSin + sin(i + j));\n\t\t\tpos.y += laminateInterval.y / (i + j) * cos(i * distortion.y * pos.x + timeNoiseCos + sin(i + j));\n\t\t}\n\t\tcol[int(j)] = sin(pow(pos.x, 2.) * pow(laminateDetail.x, 2.)) + sin(pow(pos.y, 2.) * pow(laminateDetail.y, 2.));\n\t}\n\n\tcol *= colorFactor * alpha;\n\tcol = clamp(col, 0.0, 1.0);\n\t\n\tgl_FragColor = vec4(col, alpha);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { COLORSTRATA_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class ColorStrataMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n isTexture: { value: boolean };\n scale: { value: number };\n noise: { value: THREE.Texture };\n noiseStrength: { value: THREE.Vector2 };\n isNoise: { value: boolean };\n laminateLayer: { value: number };\n laminateInterval: { value: THREE.Vector2 };\n laminateDetail: { value: THREE.Vector2 };\n distortion: { value: THREE.Vector2 };\n colorFactor: { value: THREE.Vector3 };\n uTime: { value: number };\n timeStrength: { value: THREE.Vector2 };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n isTexture: { value: false },\n scale: { value: COLORSTRATA_PARAMS.scale },\n noise: { value: DEFAULT_TEXTURE },\n noiseStrength: { value: COLORSTRATA_PARAMS.noiseStrength },\n isNoise: { value: false },\n laminateLayer: { value: COLORSTRATA_PARAMS.laminateLayer },\n laminateInterval: {\n value: COLORSTRATA_PARAMS.laminateInterval,\n },\n laminateDetail: { value: COLORSTRATA_PARAMS.laminateDetail },\n distortion: { value: COLORSTRATA_PARAMS.distortion },\n colorFactor: { value: COLORSTRATA_PARAMS.colorFactor },\n uTime: { value: 0 },\n timeStrength: { value: COLORSTRATA_PARAMS.timeStrength },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as ColorStrataMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type ColorStrataParams = {\n /** default : `null` */\n texture?: THREE.Texture | false;\n /** Valid when texture is false. default : `1` */\n scale?: number;\n /** default : `1.0` */\n laminateLayer?: number;\n /** default : `(0.1, 0.1)` */\n laminateInterval?: THREE.Vector2;\n /** default : `(1.0, 1.0)` */\n laminateDetail?: THREE.Vector2;\n /** default : `(0.0, 0.0)` */\n distortion?: THREE.Vector2;\n /** default : `(1.0, 1.0, 1.0)` */\n colorFactor?: THREE.Vector3;\n /** default : `(0.0, 0.0)` */\n timeStrength?: THREE.Vector2;\n /** default : `false` */\n noise?: THREE.Texture | false;\n /** default : `(0.0,0.0)` */\n noiseStrength?: THREE.Vector2;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n};\n\nexport type ColorStrataObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const COLORSTRATA_PARAMS: ColorStrataParams = Object.freeze({\n texture: false,\n scale: 1.0,\n laminateLayer: 1.0,\n laminateInterval: new THREE.Vector2(0.1, 0.1),\n laminateDetail: new THREE.Vector2(1, 1),\n distortion: new THREE.Vector2(0, 0),\n colorFactor: new THREE.Vector3(1, 1, 1),\n timeStrength: new THREE.Vector2(0, 0),\n noise: false,\n noiseStrength: new THREE.Vector2(0, 0),\n beat: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useColorStrata = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n ColorStrataParams,\n ColorStrataObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<ColorStrataParams>(COLORSTRATA_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: ColorStrataParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: ColorStrataParams,\n customParams?: CustomParams\n ) => {\n const { gl, clock } = rootState;\n\n updateParams(newParams, customParams);\n\n if (params.texture) {\n updateValue(\"uTexture\", params.texture);\n updateValue(\"isTexture\", true);\n } else {\n updateValue(\"isTexture\", false);\n updateValue(\"scale\", params.scale!);\n }\n\n if (params.noise) {\n updateValue(\"noise\", params.noise);\n updateValue(\"isNoise\", true);\n updateValue(\"noiseStrength\", params.noiseStrength!);\n } else {\n updateValue(\"isNoise\", false);\n }\n\n updateValue(\"uTime\", params.beat || clock.getElapsedTime());\n\n updateValue(\"laminateLayer\", params.laminateLayer!);\n updateValue(\"laminateInterval\", params.laminateInterval!);\n updateValue(\"laminateDetail\", params.laminateDetail!);\n updateValue(\"distortion\", params.distortion!);\n updateValue(\"colorFactor\", params.colorFactor!);\n updateValue(\"timeStrength\", params.timeStrength!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform float u_time;\nuniform float u_pattern;\nuniform float u_complexity;\nuniform float u_complexityAttenuation;\nuniform float u_iterations;\nuniform float u_timeStrength;\nuniform float u_scale;\n\nvec3 marble(vec3 p){\n\tvec4 n;\n\tfor(float i;i<u_iterations;i++){\n\t\tp+=sin(p.yzx + u_pattern);\n\t\tn=u_complexity*n+vec4(cross(cos(p + u_pattern),sin(p.zxy + u_pattern)),1.)*(1.+i*u_complexityAttenuation);\n\t\tp*=u_complexity;\n\t}\n\treturn n.xyz/n.w;\n}\n\nvoid main() {\n\tfloat time = u_time * u_timeStrength;\n\tvec3 color = clamp(marble(vec3(gl_FragCoord.xy*u_scale,time)),0.,1.);\n\tgl_FragColor = vec4(color,1.);\n}\n\n","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../libs/constants\";\nimport { MARBLE_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class MarbleMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_time: { value: number };\n u_pattern: { value: number };\n u_complexity: { value: number };\n u_complexityAttenuation: { value: number };\n u_iterations: { value: number };\n u_timeStrength: { value: number };\n u_scale: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_time: { value: 0 },\n u_pattern: { value: MARBLE_PARAMS.pattern },\n u_complexity: { value: MARBLE_PARAMS.complexity },\n u_complexityAttenuation: {\n value: MARBLE_PARAMS.complexityAttenuation,\n },\n u_iterations: { value: MARBLE_PARAMS.iterations },\n u_timeStrength: { value: MARBLE_PARAMS.timeStrength },\n u_scale: { value: MARBLE_PARAMS.scale },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as MarbleMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type MarbleParams = {\n /** You can add random patterns to noise by passing random numbers ,default : `0` */\n pattern?: number;\n /** default : `2` */\n complexity?: number;\n /** default : `0.2` */\n complexityAttenuation?: number;\n /** default : `8` */\n iterations?: number;\n /** default : `0.2` */\n timeStrength?: number;\n /** default : `0.002` */\n scale?: number;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n};\n\nexport type MarbleObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const MARBLE_PARAMS: MarbleParams = Object.freeze({\n pattern: 0,\n complexity: 2,\n complexityAttenuation: 0.2,\n iterations: 8,\n timeStrength: 0.2,\n scale: 0.002,\n beat: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useMarble = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<MarbleParams, MarbleObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<MarbleParams>(MARBLE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: MarbleParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: MarbleParams,\n customParams?: CustomParams\n ) => {\n const { gl, clock } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_pattern\", params.pattern!);\n updateValue(\"u_complexity\", params.complexity!);\n updateValue(\"u_complexityAttenuation\", params.complexityAttenuation!);\n updateValue(\"u_iterations\", params.iterations!);\n updateValue(\"u_timeStrength\", params.timeStrength!);\n updateValue(\"u_scale\", params.scale!);\n updateValue(\"u_time\", params.beat || clock.getElapsedTime());\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\nprecision highp int;\n\nvarying vec2 vUv;\nuniform sampler2D uTexture;\nuniform vec3 uColor1;\nuniform vec3 uColor2;\nuniform vec3 uColor3;\nuniform vec3 uColor4;\nuniform vec3 uRgbWeight;\n\n\n// Based on glsl-cos-palette by Erkaman\n// https://github.com/Erkaman/glsl-cos-palette\nvec3 cosPalette( float t, vec3 color1, vec3 color2, vec3 color3, vec3 color4 ){\n return color1 + color2 * cos( 6.28318 * ( color3 * t + color4) );\n}\n\nvoid main() {\n\n\tvec4 tex = texture2D(uTexture, vUv);\n\tfloat gray = dot(tex.rgb, uRgbWeight);\t\t\n\n\tvec3 outColor = cosPalette(\n\t\tgray,\n\t\tuColor1,\n\t\tuColor2,\n\t\tuColor3,\n\t\tuColor4\n\t);\n\n\tgl_FragColor = vec4(outColor, tex.a);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { COSPALETTE_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class CosPaletteMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uRgbWeight: { value: THREE.Vector3 };\n uColor1: { value: THREE.Color };\n uColor2: { value: THREE.Color };\n uColor3: { value: THREE.Color };\n uColor4: { value: THREE.Color };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uRgbWeight: { value: COSPALETTE_PARAMS.rgbWeight },\n uColor1: { value: COSPALETTE_PARAMS.color1 },\n uColor2: { value: COSPALETTE_PARAMS.color2 },\n uColor3: { value: COSPALETTE_PARAMS.color3 },\n uColor4: { value: COSPALETTE_PARAMS.color4 },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as CosPaletteMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type CosPaletteParams = {\n /** color1, default : `rgb(50%, 50%, 50%)` */\n color1?: THREE.Color;\n /** color2, default : `rgb(50%, 50%, 50%)` */\n color2?: THREE.Color;\n /** color3, default : `rgb(100%, 100%, 100%)` */\n color3?: THREE.Color;\n /** color4, default : `rgb(0%, 10%, 20%)` */\n color4?: THREE.Color;\n /** texture to be used as a palette */\n texture?: THREE.Texture;\n /** weight of the rgb, default : `THREE.Vector3(1.0,0.0,0.0)` */\n rgbWeight?: THREE.Vector3;\n};\n\nexport type ColorPaletteObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const COSPALETTE_PARAMS: CosPaletteParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n color1: new THREE.Color().set(0.5, 0.5, 0.5),\n color2: new THREE.Color().set(0.5, 0.5, 0.5),\n color3: new THREE.Color().set(1, 1, 1),\n color4: new THREE.Color().set(0, 0.1, 0.2),\n rgbWeight: new THREE.Vector3(0.299, 0.587, 0.114),\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useCosPalette = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n CosPaletteParams,\n ColorPaletteObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<CosPaletteParams>(COSPALETTE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: CosPaletteParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: CosPaletteParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uColor1\", params.color1!);\n updateValue(\"uColor2\", params.color2!);\n updateValue(\"uColor3\", params.color3!);\n updateValue(\"uColor4\", params.color4!);\n updateValue(\"uRgbWeight\", params.rgbWeight!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uTexture;\n\nuniform vec3 uColor0;\nuniform vec3 uColor1;\n\nvoid main() {\n\tvec2 uv = vUv;\n\tvec4 texColor = texture2D(uTexture, uv);\n\tfloat grayscale = dot(texColor.rgb, vec3(0.299, 0.587, 0.114));\n\tvec3 duotone = mix(uColor0, uColor1, grayscale);\n\tgl_FragColor = vec4(duotone, texColor.a);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { DUOTONE_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class DuoToneMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uColor0: { value: THREE.Color };\n uColor1: { value: THREE.Color };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uColor0: { value: DUOTONE_PARAMS.color0 },\n uColor1: { value: DUOTONE_PARAMS.color1 },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as DuoToneMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { DuoToneMaterial, useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type DuoToneParams = {\n /** Make this texture duotone , Default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** 1st color ,　Default : `THREE.Color(0xffffff)` */\n color0?: THREE.Color;\n /** 2nd color , Default : `THREE.Color(0x000000)` */\n color1?: THREE.Color;\n};\n\nexport type DuoToneObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: DuoToneMaterial;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const DUOTONE_PARAMS: DuoToneParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n color0: new THREE.Color(0xffffff),\n color1: new THREE.Color(0x000000),\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useDuoTone = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<DuoToneParams, DuoToneObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<DuoToneParams>(DUOTONE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: DuoToneParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: DuoToneParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uColor0\", params.color0!);\n updateValue(\"uColor1\", params.color1!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D u_texture;\nuniform sampler2D uMap;\nuniform bool u_isAlphaMap;\nuniform sampler2D u_alphaMap;\nuniform float uMapIntensity;\nuniform vec3 u_brightness;\nuniform float u_min;\nuniform float u_max;\nuniform vec3 u_dodgeColor;\nuniform bool u_isDodgeColor;\n\nvoid main() {\n\tvec2 uv = vUv;\n\n\t#usf <fxBlending>\n\n\t// color blending\n\tfloat brightness = dot(mapColor,u_brightness);\n\tvec4 textureMap = texture2D(u_texture, uv);\n\tfloat blendValue = smoothstep(u_min, u_max, brightness);\n\n\t// set dodge color\n\tvec3 dodgeColor = u_isDodgeColor ? u_dodgeColor : mapColor;\n\tvec3 outputColor = blendValue * dodgeColor + (1.0 - blendValue) * textureMap.rgb;\n\t\n\t// alpha blending\n\tfloat alpha = u_isAlphaMap ? texture2D(u_alphaMap, uv).a : textureMap.a;\n\tfloat mixValue = u_isAlphaMap ? alpha : 0.0;\n\tvec3 alphaColor = vec3(mix(outputColor,mapColor,mixValue));\n\n\tgl_FragColor = vec4(alphaColor,alpha);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n DEFAULT_TEXTURE,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../libs/constants\";\nimport { BLENDING_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class BlendingMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n uMap: { value: THREE.Texture };\n u_alphaMap: { value: THREE.Texture };\n u_isAlphaMap: { value: boolean };\n uMapIntensity: { value: number };\n u_brightness: { value: THREE.Vector3 };\n u_min: { value: number };\n u_max: { value: number };\n u_dodgeColor: { value: THREE.Color };\n u_isDodgeColor: { value: boolean };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: DEFAULT_TEXTURE },\n uMap: { value: DEFAULT_TEXTURE },\n u_alphaMap: { value: DEFAULT_TEXTURE },\n u_isAlphaMap: { value: false },\n uMapIntensity: { value: BLENDING_PARAMS.mapIntensity },\n u_brightness: { value: BLENDING_PARAMS.brightness },\n u_min: { value: BLENDING_PARAMS.min },\n u_max: { value: BLENDING_PARAMS.max },\n u_dodgeColor: { value: new THREE.Color() },\n u_isDodgeColor: { value: false },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as BlendingMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type BlendingParams = {\n /** Make this texture Blending , default : `THREE.Texture` */\n texture?: THREE.Texture;\n /** map texture, default : `THREE.Texture` */\n map?: THREE.Texture;\n /** map strength , r,g value are affecting , default : `0.3` */\n mapIntensity?: number;\n /** Alpha blending is performed using the alpha of the set texture. , default : `false` */\n alphaMap?: THREE.Texture | false;\n /** default : `(0.5,0.5,0.5)` */\n brightness?: THREE.Vector3;\n /** default : `0.0` */\n min?: number;\n /** default : `1.0` */\n max?: number;\n /** If set, this value will apply color dodge , default : `false` */\n dodgeColor?: THREE.Color | false;\n};\n\nexport type BlendingObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const BLENDING_PARAMS: BlendingParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n map: DEFAULT_TEXTURE,\n alphaMap: false,\n mapIntensity: 0.3,\n brightness: new THREE.Vector3(0.5, 0.5, 0.5),\n min: 0.0,\n max: 1.0,\n dodgeColor: false,\n});\n\n/**\n * Blend map to texture. You can set the threshold for blending with brightness. You can set the dodge color by setting color. \nIf you don't want to reflect the map's color, you can use useFxBlending instead.\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBlending = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<BlendingParams, BlendingObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<BlendingParams>(BLENDING_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: BlendingParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: BlendingParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_texture\", params.texture!);\n updateValue(\"uMap\", params.map!);\n updateValue(\"uMapIntensity\", params.mapIntensity!);\n if (params.alphaMap) {\n updateValue(\"u_alphaMap\", params.alphaMap!);\n updateValue(\"u_isAlphaMap\", true);\n } else {\n updateValue(\"u_isAlphaMap\", false);\n }\n updateValue(\"u_brightness\", params.brightness!);\n updateValue(\"u_min\", params.min!);\n updateValue(\"u_max\", params.max!);\n if (params.dodgeColor) {\n updateValue(\"u_dodgeColor\", params.dodgeColor);\n updateValue(\"u_isDodgeColor\", true);\n } else {\n updateValue(\"u_isDodgeColor\", false);\n }\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform vec2 uResolution;\nuniform vec2 uTextureResolution;\nuniform sampler2D uTexture0;\nuniform sampler2D uTexture1;\nuniform sampler2D uMap;\nuniform float mapIntensity;\nuniform float edgeIntensity;\nuniform float progress;\nuniform float dirX;\nuniform float dirY;\nuniform vec2 epicenter;\nuniform float padding;\n\nbool isInPaddingArea(vec2 uv) {\n return uv.x < padding || uv.x > 1.0 - padding || uv.y < padding || uv.y > 1.0 - padding;\n}\n\nvoid main() {\n\t#usf <coverTexture>\n\n\t// fx map\n\tvec2 map = texture2D(uMap, uv).rg;\n\tvec2 normalizedMap = map * 2.0 - 1.0;\n\n\t// multiply edge fx\n\tuv = uv * 2.0 - 1.0;\n\tuv *= map * distance(epicenter, uv) * edgeIntensity + 1.0;\n\tuv = (uv + 1.0) / 2.0;\n\n\t// padding\n\tif (isInPaddingArea(uv)) {\n\t\tgl_FragColor = vec4(0.0, 0.0, 0.0, 0.0);\n\t\treturn;\n\t}\n\tvec2 paddedUV = uv * (1.0 - 2.0 * padding * -1.) + padding * -1.;\n\n\t// centered uv\n\tvec2 centeredUV = paddedUV - vec2(0.5);\n\n\t// multiply map fx\n\tcenteredUV *= normalizedMap * map * mapIntensity + 1.0;\n\n\t// texture 0\n\tfloat xOffsetTexture0 = 0.5 - dirX * progress;\n\tfloat yOffsetTexture0 = 0.5 - dirY * progress;\n\tvec2 samplePosTexture0 = vec2(xOffsetTexture0, yOffsetTexture0) + centeredUV;\n\n\t//texture 1\n\tfloat xOffsetTexture1 = 0.5 + dirX * (1.0 - progress);\n\tfloat yOffsetTexture1 = 0.5 + dirY * (1.0 - progress);\n\tvec2 samplePosTexture1 = vec2(xOffsetTexture1, yOffsetTexture1) + centeredUV;\n\n\tvec4 color0 = texture2D(uTexture0, samplePosTexture0);\n\tvec4 color1 = texture2D(uTexture1, samplePosTexture1);\n\n\tgl_FragColor = mix(color0, color1, progress);\n\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useResolution } from \"../../../utils/useResolution\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { setUniform } from \"../../../utils/setUniforms\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { FXTEXTURE_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class FxTextureMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uResolution: { value: THREE.Vector2 };\n uTextureResolution: { value: THREE.Vector2 };\n uTexture0: { value: THREE.Texture };\n uTexture1: { value: THREE.Texture };\n padding: { value: number };\n uMap: { value: THREE.Texture };\n edgeIntensity: { value: number };\n mapIntensity: { value: number };\n epicenter: { value: THREE.Vector2 };\n progress: { value: number };\n dirX: { value: number };\n dirY: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uResolution: { value: new THREE.Vector2() },\n uTextureResolution: { value: new THREE.Vector2() },\n uTexture0: { value: DEFAULT_TEXTURE },\n uTexture1: { value: DEFAULT_TEXTURE },\n padding: { value: FXTEXTURE_PARAMS.padding },\n uMap: { value: DEFAULT_TEXTURE },\n edgeIntensity: { value: FXTEXTURE_PARAMS.edgeIntensity },\n mapIntensity: { value: FXTEXTURE_PARAMS.mapIntensity },\n epicenter: { value: FXTEXTURE_PARAMS.epicenter },\n progress: { value: FXTEXTURE_PARAMS.progress },\n dirX: { value: FXTEXTURE_PARAMS.dir?.x },\n dirY: { value: FXTEXTURE_PARAMS.dir?.y },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as FxTextureMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo } from \"react\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type FxTextureParams = {\n /** 1st texture , default : `THREE.Texture()` */\n texture0?: THREE.Texture;\n /** 2nd texture , default : `THREE.Texture()` */\n texture1?: THREE.Texture;\n /** add transparent padding, 0.0 ~ 1.0 , default : `0.0` */\n padding?: number;\n /** The color map. The uv value is affected according to this rbg , default : `THREE.Texture()` */\n map?: THREE.Texture;\n /** intensity of map , r,g value are affecting , default : `0.0` */\n mapIntensity?: number;\n /** Intensity of effect on edges , default : `0.0` */\n edgeIntensity?: number;\n /** epicenter of fx, -1 ~ 1 , default : `vec2(0.0,0.0)` */\n epicenter?: THREE.Vector2;\n /** Switch value to switch between texture0 and texture1 , 0 ~ 1 , default : `0` */\n progress?: number;\n /** direction of transition , default: `THREE.Vector2(0, 0)` */\n dir?: THREE.Vector2;\n};\n\nexport type FxTextureObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const FXTEXTURE_PARAMS: FxTextureParams = Object.freeze({\n texture0: DEFAULT_TEXTURE,\n texture1: DEFAULT_TEXTURE,\n padding: 0.0,\n map: DEFAULT_TEXTURE,\n mapIntensity: 0.0,\n edgeIntensity: 0.0,\n epicenter: new THREE.Vector2(0, 0),\n progress: 0.0,\n dir: new THREE.Vector2(0, 0),\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useFxTexture = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<FxTextureParams, FxTextureObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n dpr: _dpr.fbo,\n size,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<FxTextureParams>(FXTEXTURE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: FxTextureParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: FxTextureParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture0\", params.texture0!);\n updateValue(\"uTexture1\", params.texture1!);\n updateValue(\"progress\", params.progress!);\n // calculate resolution by linear interpolation.\n const tex0Res = [\n params.texture0!?.image?.width || 0,\n params.texture0!?.image?.height || 0,\n ];\n const tex1Res = [\n params.texture1!?.image?.width || 0,\n params.texture1!?.image?.height || 0,\n ];\n const interpolatedResolution = tex0Res.map((value, index) => {\n return value + (tex1Res[index] - value) * params.progress!;\n });\n updateValue(\"uTextureResolution\", interpolatedResolution);\n updateValue(\"padding\", params.padding!);\n updateValue(\"uMap\", params.map!);\n updateValue(\"mapIntensity\", params.mapIntensity!);\n updateValue(\"edgeIntensity\", params.edgeIntensity!);\n updateValue(\"epicenter\", params.epicenter!);\n updateValue(\"dirX\", params.dir!.x);\n updateValue(\"dirY\", params.dir!.y);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D u_texture;\nuniform vec3 u_brightness;\nuniform float u_min;\nuniform float u_max;\n\nvoid main() {\n\tvec2 uv = vUv;\n\tvec3 color = texture2D(u_texture, uv).rgb;\n\tfloat brightness = dot(color,u_brightness);\n\tfloat alpha = clamp(smoothstep(u_min, u_max, brightness),0.0,1.0);\n\tgl_FragColor = vec4(color, alpha);\n}","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { BRIGHTNESSPICKER_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class BrightnessPickerMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n u_brightness: { value: THREE.Vector3 };\n u_min: { value: number };\n u_max: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: DEFAULT_TEXTURE },\n u_brightness: { value: BRIGHTNESSPICKER_PARAMS.brightness },\n u_min: { value: BRIGHTNESSPICKER_PARAMS.min },\n u_max: { value: BRIGHTNESSPICKER_PARAMS.max },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as BrightnessPickerMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type BrightnessPickerParams = {\n /** pick brightness from this texture , default : `THREE.Texture` */\n texture?: THREE.Texture;\n /** default : `(0.5,0.5,0.5)` */\n brightness?: THREE.Vector3;\n /** default : `0.0` */\n min?: number;\n /** default : `1.0` */\n max?: number;\n};\n\nexport type BrightnessPickerObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const BRIGHTNESSPICKER_PARAMS: BrightnessPickerParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n brightness: new THREE.Vector3(0.5, 0.5, 0.5),\n min: 0.0,\n max: 1.0,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBrightnessPicker = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n BrightnessPickerParams,\n BrightnessPickerObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<BrightnessPickerParams>(\n BRIGHTNESSPICKER_PARAMS\n );\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: BrightnessPickerParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: BrightnessPickerParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_texture\", params.texture!);\n updateValue(\"u_brightness\", params.brightness!);\n updateValue(\"u_min\", params.min!);\n updateValue(\"u_max\", params.max!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D u_texture;\nuniform sampler2D uMap;\nuniform float uMapIntensity;\n\nvoid main() {\n\tvec2 uv = vUv;\n\n\t#usf <fxBlending>\n\n\tgl_FragColor = texture2D(u_texture, uv);\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { FXBLENDING_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class FxBlendingMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n uMap: { value: THREE.Texture };\n uMapIntensity: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: DEFAULT_TEXTURE },\n uMap: { value: DEFAULT_TEXTURE },\n uMapIntensity: { value: FXBLENDING_PARAMS.mapIntensity },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as FxBlendingMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type FxBlendingParams = {\n /** Make this texture Blending , default : `THREE.Texture` */\n texture?: THREE.Texture;\n /** map texture, default : `THREE.Texture` */\n map?: THREE.Texture;\n /** map strength , r,g value are affecting , default : `0.3` */\n mapIntensity?: number;\n};\n\nexport type FxBlendingObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const FXBLENDING_PARAMS: FxBlendingParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n map: DEFAULT_TEXTURE,\n mapIntensity: 0.3,\n});\n\n/**\n * Blend map to texture. You can change the intensity of fx applied by the rg value of map. Unlike \"useBlending\", the map color is not reflected.\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useFxBlending = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n FxBlendingParams,\n FxBlendingObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<FxBlendingParams>(FXBLENDING_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: FxBlendingParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: FxBlendingParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_texture\", params.texture!);\n updateValue(\"uMap\", params.map!);\n updateValue(\"uMapIntensity\", params.mapIntensity!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nuniform sampler2D uTexture;\nuniform sampler2D uMap;\n\nvarying vec2 vUv;\n\nvoid main() {\n\tvec2 uv = vUv;\n\tvec4 tex = texture2D(uTexture, uv);\n\tvec4 map = texture2D(uMap, uv);\n\tgl_FragColor = mix(tex,map,map.a);\n}\n\n","import * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useMemo } from \"react\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n DEFAULT_TEXTURE,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class AlphaBlendingMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uMap: { value: THREE.Texture };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uMap: { value: DEFAULT_TEXTURE },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as AlphaBlendingMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useCallback, useMemo } from \"react\";\nimport { RootState } from \"@react-three/fiber\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type AlphaBlendingParams = {\n /** default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** alpha map , default : `THREE.Texture()` */\n map?: THREE.Texture;\n};\n\nexport type AlphaBlendingObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const ALPHABLENDING_PARAMS: AlphaBlendingParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n map: DEFAULT_TEXTURE,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useAlphaBlending = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n AlphaBlendingParams,\n AlphaBlendingObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n onBeforeInit,\n });\n const camera = useCamera(size);\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] =\n useParams<AlphaBlendingParams>(ALPHABLENDING_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: AlphaBlendingParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: AlphaBlendingParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uMap\", params.map!);\n\n return updateRenderTarget(gl);\n },\n [updateValue, updateRenderTarget, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D u_texture;\nuniform float u_brightness;\nuniform float u_saturation;\n\n#usf <rgb2hsv>\n\n#usf <hsv2rgb>\n\nvoid main() {\n\tvec4 tex = texture2D(u_texture, vUv);\n\tvec3 hsv = rgb2hsv(tex.rgb);\n\thsv.y *= u_saturation;\n\thsv.z *= u_brightness;\n\tvec3 final = hsv2rgb(hsv);\n\tgl_FragColor = vec4(final, tex.a);\n}\n\n","import * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useMemo } from \"react\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { HSV_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class HSVMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n u_brightness: { value: number };\n u_saturation: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: DEFAULT_TEXTURE },\n u_brightness: { value: HSV_PARAMS.brightness },\n u_saturation: { value: HSV_PARAMS.saturation },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as HSVMaterial;\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useCallback, useMemo } from \"react\";\nimport { RootState } from \"@react-three/fiber\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type HSVParams = {\n /** default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** default : `1` */\n brightness?: number;\n /** default : `1` */\n saturation?: number;\n};\n\nexport type HSVObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const HSV_PARAMS: HSVParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n brightness: 1,\n saturation: 1,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useHSV = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<HSVParams, HSVObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n onBeforeInit,\n });\n const camera = useCamera(size);\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<HSVParams>(HSV_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: HSVParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: HSVParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_texture\", params.texture!);\n updateValue(\"u_brightness\", params.brightness!);\n updateValue(\"u_saturation\", params.saturation!);\n\n return updateRenderTarget(gl);\n },\n [updateValue, updateRenderTarget, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform vec2 uResolution;\nuniform vec2 uTextureResolution;\nuniform sampler2D uTexture;\n\nvoid main() {\n\t#usf <coverTexture>\n\t\n\tgl_FragColor = texture2D(uTexture, uv);\n}\n\n","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useResolution } from \"../../../utils/useResolution\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { setUniform } from \"../../../utils/setUniforms\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class FxTextureMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uResolution: { value: THREE.Vector2 };\n uTextureResolution: { value: THREE.Vector2 };\n uTexture: { value: THREE.Texture };\n };\n}\n\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uResolution: { value: new THREE.Vector2() },\n uTextureResolution: { value: new THREE.Vector2() },\n uTexture: { value: DEFAULT_TEXTURE },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as FxTextureMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo } from \"react\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type CoverTextureParams = {\n /** Textures that you want to display exactly on the screen , default : `THREE.Texture()` */\n texture?: THREE.Texture;\n};\n\nexport type CoverTextureObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const COVERTEXTURE_PARAMS: CoverTextureParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useCoverTexture = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n CoverTextureParams,\n CoverTextureObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n dpr: _dpr.fbo,\n size,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] =\n useParams<CoverTextureParams>(COVERTEXTURE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: CoverTextureParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: CoverTextureParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uTextureResolution\", [\n params.texture!?.source?.data?.width || 0,\n params.texture!?.source?.data?.height || 0,\n ]);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uTexture;\nuniform vec2 uResolution;\nuniform float uBlurSize;\n\nvoid main() {\n\tvec2 uv = vUv;\t\n\tvec2 perDivSize = uBlurSize / uResolution;\n\n\t// calc average color value from adjacent point\n\tvec4 outColor = vec4(\n\t\ttexture2D(uTexture, uv + perDivSize * vec2(-1.0, -1.0)) +\n\t\ttexture2D(uTexture, uv + perDivSize * vec2(0.0, -1.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(1.0, -1.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(-1.0, 0.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(0.0, 0.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(1.0, 0.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(-1.0, 1.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(0.0, 1.0)) + \n\t\ttexture2D(uTexture, uv + perDivSize * vec2(1.0, 1.0))\n\t\t) / 9.0;\n\t\n\tgl_FragColor = outColor;\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { SIMPLEBLUR_PARAMS } from \".\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class SampleMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uResolution: { value: THREE.Vector2 };\n uBlurSize: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uResolution: { value: new THREE.Vector2(0, 0) },\n uBlurSize: { value: SIMPLEBLUR_PARAMS.blurSize },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as SampleMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useDoubleFBO, DoubleRenderTarget } from \"../../../utils/useDoubleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport type { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { UseFboProps } from \"../../..\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type SimpleBlurParams = {\n /** Make this texture blur , default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** blurSize, default : `3` */\n blurSize?: number;\n /** blurPower, affects performance default : `5` */\n blurPower?: number;\n};\n\nexport type SimpleBlurObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: DoubleRenderTarget;\n output: THREE.Texture;\n};\n\nexport const SIMPLEBLUR_PARAMS: SimpleBlurParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n blurSize: 3,\n blurPower: 5,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useSimpleBlur = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n SimpleBlurParams,\n SimpleBlurObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n\n const fboProps = useMemo(\n () => ({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n }),\n [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions]\n ) as UseFboProps;\n\n const [renderTarget, updateTempTexture] = useDoubleFBO(fboProps);\n const [params, setParams] = useParams<SimpleBlurParams>(SIMPLEBLUR_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: SimpleBlurParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: SimpleBlurParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uResolution\", [\n params.texture!?.source?.data?.width || 0,\n params.texture!?.source?.data?.height || 0,\n ]);\n updateValue(\"uBlurSize\", params.blurSize!);\n\n let _tempTexture: THREE.Texture = updateTempTexture(gl);\n\n for (let i = 0; i < params.blurPower!; i++) {\n updateValue(\"uTexture\", _tempTexture);\n _tempTexture = updateTempTexture(gl);\n }\n\n return _tempTexture;\n },\n [updateTempTexture, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.read.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D uTexture;\nuniform sampler2D uBackbuffer;\nuniform vec2 uBegin;\nuniform vec2 uEnd;\nuniform float uStrength;\n\nvoid main() {\n\tvec2 uv = vUv;\t\n\tvec4 current = texture2D(uTexture, uv + uBegin*.1);\n\tvec4 back = texture2D(uBackbuffer, uv + uEnd*.1);\n\tvec4 mixed = mix(current,back,uStrength);\n\tgl_FragColor = mixed;\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MOTIONBLUR_PARAMS } from \".\";\nimport { MaterialProps } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class MotionBlurMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uBackbuffer: { value: THREE.Texture };\n uBegin: { value: THREE.Vector2 };\n uEnd: { value: THREE.Vector2 };\n uStrength: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uBackbuffer: { value: DEFAULT_TEXTURE },\n uBegin: { value: MOTIONBLUR_PARAMS.begin },\n uEnd: { value: MOTIONBLUR_PARAMS.end },\n uStrength: { value: MOTIONBLUR_PARAMS.strength },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as MotionBlurMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useDoubleFBO, DoubleRenderTarget } from \"../../../utils/useDoubleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport type { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { UseFboProps } from \"../../..\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type MotionBlurParams = {\n /** Make this texture blur, default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** motion begin, default : `THREE.Vector2(0, 0)` */\n begin?: THREE.Vector2;\n /** motion end, default : `THREE.Vector2(0, 0)` */\n end?: THREE.Vector2;\n /** motion strength, default : `0.9` */\n strength?: number;\n};\n\nexport type MotionBlurObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: DoubleRenderTarget;\n output: THREE.Texture;\n};\n\nexport const MOTIONBLUR_PARAMS: MotionBlurParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n begin: new THREE.Vector2(0, 0),\n end: new THREE.Vector2(0, 0),\n strength: 0.9,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useMotionBlur = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<\n MotionBlurParams,\n MotionBlurObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n\n const fboProps = useMemo(\n () => ({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n }),\n [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions]\n ) as UseFboProps;\n\n const [renderTarget, updateRenderTarget] = useDoubleFBO(fboProps);\n\n const [params, setParams] = useParams<MotionBlurParams>(MOTIONBLUR_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: MotionBlurParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: MotionBlurParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uBegin\", params.begin!);\n updateValue(\"uEnd\", params.end!);\n updateValue(\"uStrength\", params.strength!);\n\n return updateRenderTarget(gl, ({ read }) => {\n updateValue(\"uBackbuffer\", read);\n });\n },\n [updateRenderTarget, updateValue, updateParams, params]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.read.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\n\nvarying vec2 vUv;\nuniform float uProgress;\nuniform float uStrength;\nuniform float uWidth;\nuniform vec2 uEpicenter;\nuniform int uMode;\n\nfloat PI = 3.141592653589;\n\nvoid main() {\n\n\tvec2 uv = vUv;\n\n\tfloat progress = min(uProgress, 1.0);\n\tfloat progressFactor = sin(progress * PI);\n\n\tfloat border = progress - progress * progressFactor * uWidth;\n\tfloat blur = uStrength * progressFactor;\n\t\n\t// 0 ~ 1\n\tvec2 normalizeCenter = (uEpicenter + 1.0) / 2.0;\n\n\t// 0:center 1:horizontal 2:vertical\n\tfloat dist = uMode == 0 ? length(uv - normalizeCenter) : uMode == 1 ? length(uv.x - normalizeCenter.x) : length(uv.y - normalizeCenter.y);\n\n\t// Calculate the maximum distance to the four corners of the screen\n\tfloat maxDistance = max(\n\t\tlength(vec2(0.0, 0.0) - normalizeCenter),\n\t\tmax(\n\t\t\t\tlength(vec2(1.0, 0.0) - normalizeCenter),\n\t\t\t\tmax(\n\t\t\t\t\tlength(vec2(0.0, 1.0) - normalizeCenter),\n\t\t\t\t\tlength(vec2(1.0, 1.0) - normalizeCenter)\n\t\t\t\t)\n\t\t)\n\t);\n\n\t// Scale distance so that waves extend to the edge of the screen\n\tdist = maxDistance > 0.0 ? dist / maxDistance : dist;\n\n\tvec3 color = vec3(smoothstep(border - blur, border, dist) -\n smoothstep(progress, progress + blur, dist));\n\t\n\t// Ensure color is 0 when progress is 0,1\n\tcolor *= progressFactor;\n\n\tgl_FragColor = vec4(color, 1.0);\n}\n\n","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { WAVE_PARAMS } from \".\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps } from \"../../types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class WaveMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uEpicenter: { value: THREE.Vector2 };\n uProgress: { value: number };\n uStrength: { value: number };\n uWidth: { value: number };\n uMode: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n onBeforeInit,\n}: { scene: THREE.Scene } & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uEpicenter: { value: WAVE_PARAMS.epicenter },\n uProgress: { value: WAVE_PARAMS.progress },\n uStrength: { value: WAVE_PARAMS.strength },\n uWidth: { value: WAVE_PARAMS.width },\n uMode: { value: 0 },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as WaveMaterial;\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo } from \"react\";\nimport { useMesh } from \"./useMesh\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type WaveParams = {\n /** -1.0 ~ 1.0 , default : `vec2(0.0,0.0)` */\n epicenter?: THREE.Vector2;\n /** 0.0 ~ 1.0 , default : `0.0` */\n progress?: number;\n /** default : `0.0` */\n width?: number;\n /** default : `0.0` */\n strength?: number;\n /** default : `center` */\n mode?: \"center\" | \"horizontal\" | \"vertical\";\n};\n\nexport type WaveObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const WAVE_PARAMS: WaveParams = Object.freeze({\n epicenter: new THREE.Vector2(0.0, 0.0),\n progress: 0.0,\n width: 0.0,\n strength: 0.0,\n mode: \"center\",\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx\n */\nexport const useWave = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<WaveParams, WaveObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({ scene, onBeforeInit });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<WaveParams>(WAVE_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: WaveParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: WaveParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uEpicenter\", params.epicenter!);\n updateValue(\"uProgress\", params.progress!);\n updateValue(\"uWidth\", params.width!);\n updateValue(\"uStrength\", params.strength!);\n updateValue(\n \"uMode\",\n params.mode! === \"center\"\n ? 0\n : params.mode! === \"horizontal\"\n ? 1\n : 2\n );\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","#usf <planeVertex>","precision highp float;\nvarying vec2 vUv;\n\nuniform sampler2D u_texture;\nuniform vec2 u_resolution;\nuniform vec3 u_keyColor;\nuniform float u_similarity;\nuniform float u_smoothness;\nuniform float u_spill;\n\nuniform vec4 u_color;\nuniform float u_contrast;\nuniform float u_brightness;\nuniform float u_gamma;\n\n// From https://github.com/libretro/glsl-shaders/blob/master/nnedi3/shaders/rgb-to-yuv.glsl\nvec2 RGBtoUV(vec3 rgb) {\n return vec2(\n rgb.r * -0.169 + rgb.g * -0.331 + rgb.b * 0.5 + 0.5,\n rgb.r * 0.5 + rgb.g * -0.419 + rgb.b * -0.081 + 0.5\n );\n}\nfloat getChromeDist(vec3 texColor){\n\tfloat chromaDist = distance(RGBtoUV(texColor), RGBtoUV(u_keyColor));\n\treturn chromaDist;\n}\n\nfloat getBoxFilteredChromaDist(vec3 rgb, vec2 uv)\n{\n\tvec2 pixel_size = vec2(1.) / u_resolution;\n\tvec2 h_pixel_size = pixel_size / 2.0;\n\tvec2 point_0 = vec2(pixel_size.x, h_pixel_size.y);\n\tvec2 point_1 = vec2(h_pixel_size.x, -pixel_size.y);\n\tfloat distVal = getChromeDist(texture2D(u_texture,uv-point_0).rgb);\n\tdistVal += getChromeDist(texture2D(u_texture,uv+point_0).rgb);\n\tdistVal += getChromeDist(texture2D(u_texture,uv-point_1).rgb);\n\tdistVal += getChromeDist(texture2D(u_texture,uv+point_1).rgb);\n\tdistVal *= 2.0;\n\tdistVal += getChromeDist(rgb);\n\treturn distVal / 9.0;\n}\n\nvec4 CalcColor(vec4 rgba)\n{\n\treturn vec4(pow(rgba.rgb, vec3(u_gamma, u_gamma, u_gamma)) * u_contrast + u_brightness, rgba.a);\n}\n\nvoid main() {\n\n\tvec2 uv = vUv;\n\n\tvec4 texColor = texture2D(u_texture, uv);\n\ttexColor.rgb *= (texColor.a > 0.) ? (1. / texColor.a) : 0.;\n\n\tfloat chromaDist = getBoxFilteredChromaDist(texColor.rgb,uv);\n\t\n\tfloat baseMask = chromaDist - u_similarity;\n\tfloat fullMask = pow(clamp(baseMask / u_smoothness, 0., 1.), 1.5);\n\t\n\ttexColor.rgba *= u_color;\n\ttexColor.a = fullMask;\n\n\tfloat spillVal = pow(clamp(baseMask / u_spill, 0., 1.), 1.5);\n\tfloat desat = clamp(texColor.r * 0.2126 + texColor.g * 0.7152 + texColor.b * 0.0722, 0., 1.);\n\ttexColor.rgb = mix(vec3(desat, desat, desat), texColor.rgb, spillVal);\n\n\tvec4 finColor = CalcColor(texColor);\n\n\tgl_FragColor = finColor;\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { setUniform } from \"../../../utils/setUniforms\";\nimport { useResolution } from \"../../../utils/useResolution\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { CHROMAKEY_PARAMS } from \".\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class ChromaKeyMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n u_resolution: { value: THREE.Vector2 };\n u_keyColor: { value: THREE.Color };\n u_similarity: { value: number };\n u_smoothness: { value: number };\n u_spill: { value: number };\n u_color: { value: THREE.Vector4 };\n u_contrast: { value: number };\n u_brightness: { value: number };\n u_gamma: { value: number };\n };\n}\n\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: DEFAULT_TEXTURE },\n u_resolution: { value: new THREE.Vector2() },\n u_keyColor: { value: CHROMAKEY_PARAMS.color },\n u_similarity: { value: CHROMAKEY_PARAMS.similarity },\n u_smoothness: { value: CHROMAKEY_PARAMS.smoothness },\n u_spill: { value: CHROMAKEY_PARAMS.spill },\n u_color: { value: CHROMAKEY_PARAMS.color },\n u_contrast: { value: CHROMAKEY_PARAMS.contrast },\n u_brightness: { value: CHROMAKEY_PARAMS.brightness },\n u_gamma: { value: CHROMAKEY_PARAMS.gamma },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n\n return mat;\n }, [onBeforeInit]) as ChromaKeyMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"u_resolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { HooksProps, HooksReturn } from \"../../types\";\nimport { useParams } from \"../../../utils/useParams\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type ChromaKeyParams = {\n /** Process this texture with chroma key , default : `THREE.Texture` */\n texture?: THREE.Texture;\n /** key color for chromakey processing , default: `THREE.Color(0x00ff00)` */\n keyColor?: THREE.Color;\n /** If the similarity with the key color exceeds this value, it becomes transparent. , default : `0.2` */\n similarity?: number;\n /** smoothness , default : `0.1` */\n smoothness?: number;\n /** spill , default : `0.2` */\n spill?: number;\n /** tone correction , default : `THREE.Vector4(1.0, 1.0, 1.0, 1.0)` */\n color?: THREE.Vector4;\n /** contrast , default : `1.0` */\n contrast?: number;\n /** brightness , default : `0.0` */\n brightness?: number;\n /** gamma correction , default : `1.0` */\n gamma?: number;\n};\n\nexport type ChromaKeyObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n material: THREE.Material;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const CHROMAKEY_PARAMS: ChromaKeyParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n keyColor: new THREE.Color(0x00ff00),\n similarity: 0.2,\n smoothness: 0.1,\n spill: 0.2,\n color: new THREE.Vector4(1.0, 1.0, 1.0, 1.0),\n contrast: 1.0,\n brightness: 0.0,\n gamma: 1.0,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useChromaKey = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<ChromaKeyParams, ChromaKeyObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n\n const [params, setParams] = useParams<ChromaKeyParams>(CHROMAKEY_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: ChromaKeyParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: ChromaKeyParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"u_texture\", params.texture!);\n updateValue(\"u_keyColor\", params.keyColor!);\n updateValue(\"u_similarity\", params.similarity!);\n updateValue(\"u_smoothness\", params.smoothness!);\n updateValue(\"u_spill\", params.spill!);\n updateValue(\"u_color\", params.color!);\n updateValue(\"u_contrast\", params.contrast!);\n updateValue(\"u_brightness\", params.brightness!);\n updateValue(\"u_gamma\", params.gamma!);\n\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","precision highp float;\n\nvarying vec2 vUv;\n#usf <varyings>\n\n#usf <uniforms>\n\nvoid main() {\n\tvec4 usf_Position = vec4(position,1.);\n\tvUv = uv;\n\n\t#usf <main>\n\t\n\tgl_Position = usf_Position;\n}","precision highp float;\n\nvarying vec2 vUv;\n#usf <varyings>\n\nuniform sampler2D uTexture;\nuniform sampler2D uBackbuffer;\nuniform float uTime;\nuniform vec2 uPointer;\nuniform vec2 uResolution;\n\n#usf <uniforms>\n\nvoid main() {\n\tvec4 usf_FragColor = vec4(1.);\n\n\t#usf <main>\n\t\n\tgl_FragColor = usf_FragColor;\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport { setUniform, useResolution } from \"../../..\";\nimport {\n MATERIAL_BASIC_PARAMS,\n DEFAULT_TEXTURE,\n} from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class BlankMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uTexture: { value: THREE.Texture };\n uBackbuffer: { value: THREE.Texture };\n uTime: { value: number };\n uPointer: { value: THREE.Vector2 };\n uResolution: { value: THREE.Vector2 };\n };\n}\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uTexture: { value: DEFAULT_TEXTURE },\n uBackbuffer: { value: DEFAULT_TEXTURE },\n uTime: { value: 0 },\n uPointer: { value: new THREE.Vector2() },\n uResolution: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as BlankMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport { BlankMaterial, useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { useDoubleFBO, DoubleRenderTarget } from \"../../../utils/useDoubleFBO\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { useParams } from \"../../../utils/useParams\";\nimport type { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { UseFboProps } from \"../../..\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\n\nexport type BlankParams = {\n /** texture, default : `THREE.Texture()` */\n texture?: THREE.Texture;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n};\n\nexport type BlankObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh<\n THREE.BufferGeometry<THREE.NormalBufferAttributes>,\n BlankMaterial\n >;\n material: BlankMaterial;\n camera: THREE.Camera;\n renderTarget: DoubleRenderTarget;\n output: THREE.Texture;\n};\n\nexport const BLANK_PARAMS: BlankParams = Object.freeze({\n texture: DEFAULT_TEXTURE,\n beat: false,\n});\n\n/**\n * By default, it is a blank canvas with nothing drawn on it. You can customise the shaders using `onBeforeCompile`.\n * Fragment shaders have `uTexture`,`uBackbuffer`,`uTime`,`uPointer` and `uResolution` as default uniforms.\n *\n * ※ `usf_FragColor` overrides `gl_FragColor`\n *\n * ※ `usf_Position` overrides `gl_Position`\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBlank = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<BlankParams, BlankObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n\n const camera = useCamera(size);\n\n const fboProps = useMemo(\n () => ({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n }),\n [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions]\n ) as UseFboProps;\n\n const [renderTarget, updateRenderTarget] = useDoubleFBO(fboProps);\n\n const [params, setParams] = useParams<BlankParams>(BLANK_PARAMS);\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: BlankParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateCustomValue(customParams);\n },\n [setParams, updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: BlankParams,\n customParams?: CustomParams\n ) => {\n const { gl, clock, pointer } = rootState;\n\n updateParams(newParams, customParams);\n\n updateValue(\"uPointer\", pointer);\n updateValue(\"uTexture\", params.texture!);\n updateValue(\"uTime\", params.beat || clock.getElapsedTime());\n\n return updateRenderTarget(gl, ({ read }) => {\n updateValue(\"uBackbuffer\", read);\n });\n },\n [updateRenderTarget, updateValue, params, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.read.texture,\n },\n ];\n};\n","precision highp float;\n\nvarying vec2 vUv;\n#usf <varyings>\n\n#usf <uniforms>\n\nvoid main() {\n\tvec4 usf_Position = vec4(position,1.);\n\tvUv = uv;\n\n\t#usf <main>\n\t\n\tgl_Position = usf_Position;\n}","precision highp float;\n\nvarying vec2 vUv;\n#usf <varyings>\n\nuniform vec2 uResolution;\n\n#usf <uniforms>\n\nvoid main() {\n\tvec4 usf_FragColor = vec4(1.);\n\n\t#usf <main>\n\t\n\tgl_FragColor = usf_FragColor;\n}","import { useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport vertexShader from \"./shader/main.vert\";\nimport fragmentShader from \"./shader/main.frag\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { MaterialProps, Size } from \"../../types\";\nimport { setUniform, useResolution } from \"../../..\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class RawBlankMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uResolution: { value: THREE.Vector2 };\n };\n}\nexport const useMesh = ({\n scene,\n size,\n dpr,\n onBeforeInit,\n}: {\n scene: THREE.Scene;\n size: Size;\n dpr: number | false;\n} & MaterialProps) => {\n const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []);\n const material = useMemo(() => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uResolution: { value: new THREE.Vector2() },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n });\n return mat;\n }, [onBeforeInit]) as RawBlankMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n const mesh = useAddObject(scene, geometry, material, THREE.Mesh);\n\n return { material, mesh };\n};\n","import { useCallback, useMemo } from \"react\";\nimport * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport { RawBlankMaterial, useMesh } from \"./useMesh\";\nimport { useCamera } from \"../../../utils/useCamera\";\nimport { CustomParams, setCustomUniform } from \"../../../utils/setUniforms\";\nimport type { HooksProps, HooksReturn } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { UseFboProps, useSingleFBO } from \"../../../utils/useSingleFBO\";\n\nexport type RawBlankParams = {};\n\nexport type RawBlankObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh<\n THREE.BufferGeometry<THREE.NormalBufferAttributes>,\n RawBlankMaterial\n >;\n material: RawBlankMaterial;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const RAWBLANK_PARAMS: RawBlankParams = Object.freeze({});\n\n/**\n * By default, it is a blank canvas with nothing drawn on it. You can customise the shaders using `onBeforeCompile`.\n * Fragment shaders have `uResolution` as default uniforms.\n *\n * ※ `usf_FragColor` overrides `gl_FragColor`\n *\n * ※ `usf_Position` overrides `gl_Position`\n * \n * `RawBlankParams` is an empty object. so you can't pass any parameters to second argument. Nothing will happen if you pass them.\n * ```tsx\n * useFrame((state) => {\n update(\n state,\n {},\n {\n uTime: state.clock.getElapsedTime(),\n }\n );\n });\n * ```\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useRawBlank = ({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n onBeforeInit,\n}: HooksProps): HooksReturn<RawBlankParams, RawBlankObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n\n const { material, mesh } = useMesh({\n scene,\n size,\n dpr: _dpr.shader,\n onBeforeInit,\n });\n\n const camera = useCamera(size);\n\n const fboProps = useMemo(\n () => ({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n }),\n [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions]\n ) as UseFboProps;\n\n const [renderTarget, updateRenderTarget] = useSingleFBO(fboProps);\n\n const updateCustomValue = setCustomUniform(material);\n\n const updateParams = useCallback(\n (newParams?: RawBlankParams, customParams?: CustomParams) => {\n updateCustomValue(customParams);\n },\n [updateCustomValue]\n );\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: RawBlankParams,\n customParams?: CustomParams\n ) => {\n const { gl } = rootState;\n updateParams(newParams, customParams);\n return updateRenderTarget(gl);\n },\n [updateRenderTarget, updateParams]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene: scene,\n mesh: mesh,\n material: material,\n camera: camera,\n renderTarget: renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport { useAddObject } from \"../../../../utils/useAddObject\";\n\ntype UseCreateObjectProps = {\n scene: THREE.Scene | false;\n geometry: THREE.BufferGeometry;\n material: THREE.ShaderMaterial;\n};\n\nexport type MorphParticlePoints = THREE.Points<\n THREE.BufferGeometry<THREE.NormalBufferAttributes>,\n THREE.ShaderMaterial\n>;\nexport type InteractiveMesh = THREE.Mesh<\n THREE.BufferGeometry<THREE.NormalBufferAttributes>,\n THREE.ShaderMaterial\n>;\n\nexport const useCreateObject = ({\n scene,\n geometry,\n material,\n}: UseCreateObjectProps) => {\n const points = useAddObject(\n scene,\n geometry,\n material,\n THREE.Points\n ) as MorphParticlePoints;\n\n // Generate a mesh for pointer\n const interactiveMesh = useAddObject(\n scene,\n useMemo(() => geometry.clone(), [geometry]),\n useMemo(() => material.clone(), [material]),\n THREE.Mesh\n ) as InteractiveMesh;\n interactiveMesh.visible = false;\n\n return {\n points,\n interactiveMesh,\n };\n};\n","uniform vec2 uResolution;\nuniform float uMorphProgress;\nuniform float uPointSize;\n\nuniform sampler2D uPicture;\nuniform bool uIsPicture;\nuniform sampler2D uAlphaPicture;\nuniform bool uIsAlphaPicture;\n\nuniform vec3 uColor0;\nuniform vec3 uColor1;\nuniform vec3 uColor2;\nuniform vec3 uColor3;\n\nuniform float uTime;\n\nuniform float uWobblePositionFrequency;\nuniform float uWobbleTimeFrequency;\nuniform float uWobbleStrength;\nuniform float uWarpPositionFrequency;\nuniform float uWarpTimeFrequency;\nuniform float uWarpStrength;\n\nuniform sampler2D uDisplacement;\nuniform bool uIsDisplacement;\nuniform float uDisplacementIntensity;\n\nuniform float uSizeRandomIntensity;\nuniform float uSizeRandomTimeFrequency;\nuniform float uSizeRandomMin;\nuniform float uSizeRandomMax;\n\nuniform float uMapArrayLength;\n\nuniform float uDivergence;\nuniform vec3 uDivergencePoint;\n\nvarying vec3 vColor;\nvarying float vPictureAlpha;\nvarying vec3 vDisplacementColor;\nvarying float vDisplacementIntensity;\nvarying float vMapArrayIndex;\n\n#usf <morphPositions>\n\n#usf <morphUvs>\n\n#usf <wobble3D>\n\nfloat random3D(vec3 co) {\n\treturn fract(sin(dot(co.xyz ,vec3(12.9898, 78.233, 45.764))) * 43758.5453);\n}\n\nvoid main() {\n\tvec3 newPosition = position;\n\tvec2 newUv = uv;\n\t\n\t#usf <morphPositionTransition>\n\t#usf <morphUvTransition>\n\n\t// displacement for `newPosition`\n\tvec3 displacement = uIsDisplacement ? texture2D(uDisplacement, newUv).rgb : vec3(0.0);\n\tfloat displacementIntensity = smoothstep(0., 1., displacement.g);\n\tvDisplacementColor = displacement;\n\tvDisplacementIntensity = displacementIntensity;\n\n\t// At this point displacement is 0 ~ 1, so normalize it to -1 ~ 1\n\tdisplacement = displacement * 2.-1.;\n\tdisplacement *= displacementIntensity * uDisplacementIntensity;\n\tnewPosition += displacement;\n\n\t// divergence\n\tvec3 divergenceDir = newPosition - uDivergencePoint;\n\tif (uDivergence > 0.0) {\n\t\tnewPosition += normalize(divergenceDir) * uDivergence;\n\t} else if (uDivergence < 0.0) {\n\t\tnewPosition -= normalize(divergenceDir) * abs(uDivergence);\n\t}\n\n\t// Final position\n\tvec4 modelPosition = modelMatrix * vec4(newPosition, 1.0);\n\tvec4 viewPosition = viewMatrix * modelPosition;\n\tvec4 projectedPosition = projectionMatrix * viewPosition;\n\n\t// wobble ※Do not calculate noise if uWobbleStrength is 0\n\tfloat wobble = uWobbleStrength > 0. ? getWobble(projectedPosition.xyz) : 0.0;\n\n\tgl_Position = projectedPosition += wobble;\n\t\n\t// If picture is true then display picture, otherwise 4 color linear interpolation\n\tvColor = uIsPicture ? texture2D(uPicture, newUv).rgb : mix(mix(uColor0, uColor1, newPosition.x), mix(uColor2, uColor3, newPosition.y), newPosition.z);\n\n\t// Set Alpha on picture's g channel\n\tvPictureAlpha = uIsAlphaPicture ? texture2D(uAlphaPicture, newUv).g : 1.;\n\n\t// Multiply the point size by picturAalpha. The size can also be adjusted with alphaMap.\n\t// If uSizeRandomTimeFrequency is greater than 0, the size will be randomly changed\n\tfloat sizeRand = uSizeRandomIntensity > 0. ? mix(uSizeRandomMin,uSizeRandomMax,(simplexNoise4d(vec4(newPosition,uTime * uSizeRandomTimeFrequency))*.5+.5)) * uSizeRandomIntensity : 1.;\n\tgl_PointSize = uPointSize * vPictureAlpha * uResolution.y * sizeRand;\n\tgl_PointSize *= (1.0 / - viewPosition.z);\n\n\t// mapArrayIndex\n\tvMapArrayIndex = uMapArrayLength > 0. ? floor(random3D(position) * uMapArrayLength) : 0.;\n}","precision highp float;\nprecision highp int;\n\nvarying vec3 vColor;\nvarying float vPictureAlpha;\nvarying vec3 vDisplacementColor;\nvarying float vDisplacementIntensity;\nvarying float vMapArrayIndex;\n\nuniform float uBlurAlpha;\nuniform float uBlurRadius;\nuniform sampler2D uMap;\nuniform bool uIsMap;\nuniform sampler2D uAlphaMap;\nuniform bool uIsAlphaMap;\nuniform float uDisplacementColorIntensity;\nuniform float uPointAlpha;\n\n#usf <mapArrayUniforms>\n\nvoid main() { \n\tvec2 uv = gl_PointCoord;\n\tuv.y = 1.0 - uv.y;\n \n\t// make it a circle\n\tfloat distanceToCenter = length(uv - .5);\n\tfloat alpha = clamp(uBlurRadius / distanceToCenter - (1.-uBlurAlpha) , 0. , 1.);\n\n\t// Map if there is a map\t\n\tvec4 mapArrayColor;\n\t#usf <mapArraySwitcher>\n\tvec4 mapColor = isMapArray ? mapArrayColor : uIsMap ? texture2D(uMap,uv) : vec4(1.);\n\tvec3 finalColor = isMapArray || uIsMap ? mapColor.rgb : vColor;\n\n\t// Mix with finalColor if displacement is true\n\tfloat mixIntensity = clamp(uDisplacementColorIntensity * vDisplacementIntensity,0.,1.);\n\tfinalColor = vDisplacementIntensity > 0. ? mix(finalColor,vDisplacementColor,mixIntensity) : finalColor;\n\n\t// get alpha map\n\tfloat alphaMap = uIsAlphaMap ? texture2D(uAlphaMap,uv).g : 1.;\n\n\tgl_FragColor = vec4(finalColor,alpha * vPictureAlpha * alphaMap * mapColor.a * uPointAlpha);\n}\n","import * as THREE from \"three\";\nimport { ISDEV } from \"../../../../libs/constants\";\n\nexport const rewriteVertexShader = (\n modifeidAttributes: Float32Array[],\n targetGeometry: THREE.BufferGeometry,\n targetAttibute: \"position\" | \"uv\",\n vertexShader: string,\n itemSize: number\n) => {\n const vTargetName =\n targetAttibute === \"position\" ? \"positionTarget\" : \"uvTarget\";\n const vAttributeRewriteKey =\n targetAttibute === \"position\"\n ? \"#usf <morphPositions>\"\n : \"#usf <morphUvs>\";\n const vTransitionRewriteKey =\n targetAttibute === \"position\"\n ? \"#usf <morphPositionTransition>\"\n : \"#usf <morphUvTransition>\";\n const vListName =\n targetAttibute === \"position\" ? \"positionsList\" : \"uvsList\";\n const vMorphTransition =\n targetAttibute === \"position\"\n ? `\n\t\t\t\tfloat scaledProgress = uMorphProgress * ${modifeidAttributes.length - 1}.;\n\t\t\t\tint baseIndex = int(floor(scaledProgress));\t\t\n\t\t\t\tbaseIndex = clamp(baseIndex, 0, ${modifeidAttributes.length - 1});\t\t\n\t\t\t\tfloat progress = fract(scaledProgress);\n\t\t\t\tint nextIndex = baseIndex + 1;\n\t\t\t\tnewPosition = mix(positionsList[baseIndex], positionsList[nextIndex], progress);\n\t\t\t`\n : \"newUv = mix(uvsList[baseIndex], uvsList[nextIndex], progress);\";\n\n if (modifeidAttributes.length > 0) {\n // Delete the position at initialization and add the position after normalization\n targetGeometry.deleteAttribute(targetAttibute);\n targetGeometry.setAttribute(\n targetAttibute,\n new THREE.BufferAttribute(modifeidAttributes[0], itemSize)\n );\n\n let stringToAddToMorphAttibutes = \"\";\n let stringToAddToMorphAttibutesList = \"\";\n\n modifeidAttributes.forEach((target, index) => {\n targetGeometry.setAttribute(\n `${vTargetName}${index}`,\n new THREE.BufferAttribute(target, itemSize)\n );\n stringToAddToMorphAttibutes += `attribute vec${itemSize} ${vTargetName}${index};\\n`;\n if (index === 0) {\n stringToAddToMorphAttibutesList += `${vTargetName}${index}`;\n } else {\n stringToAddToMorphAttibutesList += `,${vTargetName}${index}`;\n }\n });\n\n vertexShader = vertexShader.replace(\n `${vAttributeRewriteKey}`,\n stringToAddToMorphAttibutes\n );\n vertexShader = vertexShader.replace(\n `${vTransitionRewriteKey}`,\n `vec${itemSize} ${vListName}[${modifeidAttributes.length}] = vec${itemSize}[](${stringToAddToMorphAttibutesList});\n\t\t\t\t${vMorphTransition}\n\t\t\t`\n );\n } else {\n vertexShader = vertexShader.replace(`${vAttributeRewriteKey}`, \"\");\n vertexShader = vertexShader.replace(`${vTransitionRewriteKey}`, \"\");\n if (!targetGeometry?.attributes[targetAttibute]?.array) {\n ISDEV &&\n console.error(\n `use-shader-fx:geometry.attributes.${targetAttibute}.array is not found`\n );\n }\n }\n\n return vertexShader;\n};\n","import * as THREE from \"three\";\n\n/**\n * Calculate the maximum length of attribute (position and uv) to match the length of all lists. Randomly map missing attributes when matching to maximum length\n * */\nexport const modifyAttributes = (\n attribute: Float32Array[] | undefined,\n targetGeometry: THREE.BufferGeometry,\n targetAttibute: \"position\" | \"uv\",\n itemSize: number\n) => {\n let modifiedAttribute: Float32Array[] = [];\n if (attribute && attribute.length > 0) {\n if (targetGeometry?.attributes[targetAttibute]?.array) {\n modifiedAttribute = [\n targetGeometry.attributes[targetAttibute].array as Float32Array,\n ...attribute,\n ];\n } else {\n modifiedAttribute = attribute;\n }\n\n const maxLength = Math.max(...modifiedAttribute.map((arr) => arr.length));\n\n modifiedAttribute.forEach((arr, i) => {\n if (arr.length < maxLength) {\n const diff = (maxLength - arr.length) / itemSize;\n const addArray = [];\n const oldArray = Array.from(arr);\n for (let i = 0; i < diff; i++) {\n const randomIndex =\n Math.floor((arr.length / itemSize) * Math.random()) *\n itemSize;\n for (let j = 0; j < itemSize; j++) {\n addArray.push(oldArray[randomIndex + j]);\n }\n }\n modifiedAttribute[i] = new Float32Array([...oldArray, ...addArray]);\n }\n });\n }\n return modifiedAttribute;\n};\n","import * as THREE from \"three\";\n\nexport const rewriteFragmentShader = (\n mapArray: THREE.Texture[] | undefined,\n fragmentShader: string\n) => {\n let mapArrayShader = \"\";\n const mapArrayUniforms: any = {};\n let textureSwitcherCode = \"mapArrayColor = \";\n\n if (mapArray && mapArray.length > 0) {\n mapArray.forEach((map, index) => {\n const condition = `vMapArrayIndex < ${index}.1`; // Comparison with a number with .1 added as the handling of floating points may vary between GPU drivers\n const action = `texture2D(uMapArray${index}, uv)`;\n textureSwitcherCode += `( ${condition} ) ? ${action} : `;\n mapArrayShader += `\n uniform sampler2D uMapArray${index};\n `;\n mapArrayUniforms[`uMapArray${index}`] = { value: map };\n });\n textureSwitcherCode += \"vec4(1.);\";\n mapArrayShader += `bool isMapArray = true;`;\n mapArrayUniforms[\"uMapArrayLength\"] = { value: mapArray.length };\n } else {\n textureSwitcherCode += \"vec4(1.0);\";\n mapArrayShader += `bool isMapArray = false;`;\n mapArrayUniforms[\"uMapArrayLength\"] = { value: 0 };\n }\n const rewritedFragmentShader = fragmentShader\n .replace(`#usf <mapArraySwitcher>`, textureSwitcherCode)\n .replace(`#usf <mapArrayUniforms>`, mapArrayShader);\n\n return { rewritedFragmentShader, mapArrayUniforms };\n};\n","import * as THREE from \"three\";\nimport { useMemo } from \"react\";\nimport { useResolution } from \"../../../../utils/useResolution\";\nimport { setUniform } from \"../../../../utils/setUniforms\";\nimport vertexShader from \"../shaders/main.vert\";\nimport fragmentShader from \"../shaders/main.frag\";\nimport { MORPHPARTICLES_PARAMS } from \"..\";\nimport {\n DEFAULT_TEXTURE,\n ISDEV,\n MATERIAL_BASIC_PARAMS,\n} from \"../../../../libs/constants\";\nimport { rewriteVertexShader } from \"./rewriteVertexShader\";\nimport { modifyAttributes } from \"./modifyAttributes\";\nimport { rewriteFragmentShader } from \"./rewriteFragmentShader\";\nimport { MaterialProps, Size } from \"../../../types\";\nimport { createMaterialParameters } from \"../../../../utils/createMaterialParameters\";\n\nexport class MorphParticlesMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n uResolution: { value: THREE.Vector2 };\n uMorphProgress: { value: number };\n uBlurAlpha: { value: number };\n uBlurRadius: { value: number };\n uPointSize: { value: number };\n uPointAlpha: { value: number };\n uPicture: { value: THREE.Texture };\n uIsPicture: { value: boolean };\n uAlphaPicture: { value: THREE.Texture };\n uIsAlphaPicture: { value: boolean };\n uColor0: { value: THREE.Color };\n uColor1: { value: THREE.Color };\n uColor2: { value: THREE.Color };\n uColor3: { value: THREE.Color };\n uMap: { value: THREE.Texture };\n uIsMap: { value: boolean };\n uAlphaMap: { value: THREE.Texture };\n uIsAlphaMap: { value: boolean };\n uTime: { value: number };\n uWobblePositionFrequency: { value: number };\n uWobbleTimeFrequency: { value: number };\n uWobbleStrength: { value: number };\n uWarpPositionFrequency: { value: number };\n uWarpTimeFrequency: { value: number };\n uWarpStrength: { value: number };\n uDisplacement: { value: THREE.Texture };\n uIsDisplacement: { value: boolean };\n uDisplacementIntensity: { value: number };\n uDisplacementColorIntensity: { value: number };\n uSizeRandomIntensity: { value: number };\n uSizeRandomTimeFrequency: { value: number };\n uSizeRandomMin: { value: number };\n uSizeRandomMax: { value: number };\n uDivergence: { value: number };\n uDivergencePoint: { value: THREE.Vector3 };\n };\n}\n\nexport const useMaterial = ({\n size,\n dpr,\n geometry,\n positions,\n uvs,\n mapArray,\n onBeforeInit,\n}: {\n size: Size;\n dpr: number | false;\n geometry: THREE.BufferGeometry;\n positions?: Float32Array[];\n uvs?: Float32Array[];\n mapArray?: THREE.Texture[];\n} & MaterialProps) => {\n const modifiedPositions = useMemo(\n () => modifyAttributes(positions, geometry, \"position\", 3),\n [positions, geometry]\n );\n\n const modifiedUvs = useMemo(\n () => modifyAttributes(uvs, geometry, \"uv\", 2),\n [uvs, geometry]\n );\n\n const material = useMemo(() => {\n if (modifiedPositions.length !== modifiedUvs.length) {\n ISDEV &&\n console.log(\"use-shader-fx:positions and uvs are not matched\");\n }\n\n // vertex\n const rewritedVertexShader = rewriteVertexShader(\n modifiedUvs,\n geometry,\n \"uv\",\n rewriteVertexShader(\n modifiedPositions,\n geometry,\n \"position\",\n vertexShader,\n 3\n ),\n 2\n );\n\n // fragment\n const { rewritedFragmentShader, mapArrayUniforms } =\n rewriteFragmentShader(mapArray, fragmentShader);\n\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n uResolution: { value: new THREE.Vector2(0, 0) },\n uMorphProgress: {\n value: MORPHPARTICLES_PARAMS.morphProgress,\n },\n uBlurAlpha: { value: MORPHPARTICLES_PARAMS.blurAlpha },\n uBlurRadius: { value: MORPHPARTICLES_PARAMS.blurRadius },\n uPointSize: { value: MORPHPARTICLES_PARAMS.pointSize },\n uPointAlpha: { value: MORPHPARTICLES_PARAMS.pointAlpha },\n uPicture: { value: DEFAULT_TEXTURE },\n uIsPicture: { value: false },\n uAlphaPicture: { value: DEFAULT_TEXTURE },\n uIsAlphaPicture: { value: false },\n uColor0: { value: MORPHPARTICLES_PARAMS.color0 },\n uColor1: { value: MORPHPARTICLES_PARAMS.color1 },\n uColor2: { value: MORPHPARTICLES_PARAMS.color2 },\n uColor3: { value: MORPHPARTICLES_PARAMS.color3 },\n uMap: { value: DEFAULT_TEXTURE },\n uIsMap: { value: false },\n uAlphaMap: { value: DEFAULT_TEXTURE },\n uIsAlphaMap: { value: false },\n uTime: { value: 0 },\n uWobblePositionFrequency: {\n value: MORPHPARTICLES_PARAMS.wobblePositionFrequency,\n },\n uWobbleTimeFrequency: {\n value: MORPHPARTICLES_PARAMS.wobbleTimeFrequency,\n },\n uWobbleStrength: {\n value: MORPHPARTICLES_PARAMS.wobbleStrength,\n },\n uWarpPositionFrequency: {\n value: MORPHPARTICLES_PARAMS.warpPositionFrequency,\n },\n uWarpTimeFrequency: {\n value: MORPHPARTICLES_PARAMS.warpTimeFrequency,\n },\n uWarpStrength: { value: MORPHPARTICLES_PARAMS.warpStrength },\n uDisplacement: { value: DEFAULT_TEXTURE },\n uIsDisplacement: { value: false },\n uDisplacementIntensity: {\n value: MORPHPARTICLES_PARAMS.displacementIntensity,\n },\n uDisplacementColorIntensity: {\n value: MORPHPARTICLES_PARAMS.displacementColorIntensity,\n },\n uSizeRandomIntensity: {\n value: MORPHPARTICLES_PARAMS.sizeRandomIntensity,\n },\n uSizeRandomTimeFrequency: {\n value: MORPHPARTICLES_PARAMS.sizeRandomTimeFrequency,\n },\n uSizeRandomMin: {\n value: MORPHPARTICLES_PARAMS.sizeRandomMin,\n },\n uSizeRandomMax: {\n value: MORPHPARTICLES_PARAMS.sizeRandomMax,\n },\n uDivergence: { value: MORPHPARTICLES_PARAMS.divergence },\n uDivergencePoint: {\n value: MORPHPARTICLES_PARAMS.divergencePoint,\n },\n ...mapArrayUniforms,\n },\n vertexShader: rewritedVertexShader,\n fragmentShader: rewritedFragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n blending: THREE.AdditiveBlending,\n // Must be transparent\n transparent: true,\n });\n\n return mat;\n }, [\n geometry,\n modifiedPositions,\n modifiedUvs,\n mapArray,\n onBeforeInit,\n ]) as MorphParticlesMaterial;\n\n const resolution = useResolution(size, dpr);\n setUniform(material)(\"uResolution\", resolution.clone());\n\n return { material, modifiedPositions, modifiedUvs };\n};\n","import * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport {\n InteractiveMesh,\n MorphParticlePoints,\n useCreateObject,\n} from \"./utils/useCreateObject\";\nimport { useMaterial } from \"./utils/useMaterial\";\nimport { MorphParticlesParams } from \".\";\nimport {\n setUniform,\n CustomParams,\n setCustomUniform,\n} from \"../../../utils/setUniforms\";\nimport { useCallback, useMemo } from \"react\";\nimport { Create3DHooksProps } from \"../types\";\nimport { Dpr, Size } from \"../../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\n\nexport type UseCreateMorphParticlesProps = {\n size: Size;\n dpr: Dpr;\n /** default : `THREE.SphereGeometry(1, 32, 32)` */\n geometry?: THREE.BufferGeometry;\n positions?: Float32Array[];\n uvs?: Float32Array[];\n /** Array of textures to map to points. Mapped at random. */\n mapArray?: THREE.Texture[];\n};\n\ntype UpdateUniform = (\n rootState: RootState | null,\n newParams?: MorphParticlesParams,\n customParams?: CustomParams\n) => void;\n\ntype UseCreateMorphParticlesReturn = [\n UpdateUniform,\n {\n points: MorphParticlePoints;\n interactiveMesh: InteractiveMesh;\n positions: Float32Array[];\n uvs: Float32Array[];\n }\n];\n\nexport const useCreateMorphParticles = ({\n size,\n dpr,\n scene = false,\n geometry,\n positions,\n uvs,\n mapArray,\n onBeforeInit,\n}: Create3DHooksProps &\n UseCreateMorphParticlesProps): UseCreateMorphParticlesReturn => {\n const _dpr = getDpr(dpr);\n\n const morphGeometry = useMemo(() => {\n const geo = geometry || new THREE.SphereGeometry(1, 32, 32);\n geo.setIndex(null);\n // Since it is a particle, normal is not necessary\n geo.deleteAttribute(\"normal\");\n return geo;\n }, [geometry]);\n\n const { material, modifiedPositions, modifiedUvs } = useMaterial({\n size,\n dpr: _dpr.shader,\n geometry: morphGeometry,\n positions,\n uvs,\n mapArray,\n onBeforeInit,\n });\n\n const { points, interactiveMesh } = useCreateObject({\n scene,\n geometry: morphGeometry,\n material,\n });\n\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n\n const updateUniform = useCallback<UpdateUniform>(\n (rootState, newParams, customParams) => {\n if (rootState) {\n updateValue(\n \"uTime\",\n newParams?.beat || rootState.clock.getElapsedTime()\n );\n }\n if (newParams === undefined) {\n return;\n }\n updateValue(\"uMorphProgress\", newParams.morphProgress);\n updateValue(\"uBlurAlpha\", newParams.blurAlpha);\n updateValue(\"uBlurRadius\", newParams.blurRadius);\n updateValue(\"uPointSize\", newParams.pointSize);\n updateValue(\"uPointAlpha\", newParams.pointAlpha);\n if (newParams.picture) {\n updateValue(\"uPicture\", newParams.picture);\n updateValue(\"uIsPicture\", true);\n } else if (newParams.picture === false) {\n updateValue(\"uIsPicture\", false);\n }\n if (newParams.alphaPicture) {\n updateValue(\"uAlphaPicture\", newParams.alphaPicture);\n updateValue(\"uIsAlphaPicture\", true);\n } else if (newParams.alphaPicture === false) {\n updateValue(\"uIsAlphaPicture\", false);\n }\n updateValue(\"uColor0\", newParams.color0);\n updateValue(\"uColor1\", newParams.color1);\n updateValue(\"uColor2\", newParams.color2);\n updateValue(\"uColor3\", newParams.color3);\n if (newParams.map) {\n updateValue(\"uMap\", newParams.map);\n updateValue(\"uIsMap\", true);\n } else if (newParams.map === false) {\n updateValue(\"uIsMap\", false);\n }\n if (newParams.alphaMap) {\n updateValue(\"uAlphaMap\", newParams.alphaMap);\n updateValue(\"uIsAlphaMap\", true);\n } else if (newParams.alphaMap === false) {\n updateValue(\"uIsAlphaMap\", false);\n }\n updateValue(\"uWobbleStrength\", newParams.wobbleStrength);\n updateValue(\n \"uWobblePositionFrequency\",\n newParams.wobblePositionFrequency\n );\n updateValue(\"uWobbleTimeFrequency\", newParams.wobbleTimeFrequency);\n updateValue(\"uWarpStrength\", newParams.warpStrength);\n updateValue(\"uWarpPositionFrequency\", newParams.warpPositionFrequency);\n updateValue(\"uWarpTimeFrequency\", newParams.warpTimeFrequency);\n if (newParams.displacement) {\n updateValue(\"uDisplacement\", newParams.displacement);\n updateValue(\"uIsDisplacement\", true);\n } else if (newParams.displacement === false) {\n updateValue(\"uIsDisplacement\", false);\n }\n updateValue(\"uDisplacementIntensity\", newParams.displacementIntensity);\n updateValue(\n \"uDisplacementColorIntensity\",\n newParams.displacementColorIntensity\n );\n updateValue(\"uSizeRandomIntensity\", newParams.sizeRandomIntensity);\n updateValue(\n \"uSizeRandomTimeFrequency\",\n newParams.sizeRandomTimeFrequency\n );\n updateValue(\"uSizeRandomMin\", newParams.sizeRandomMin);\n updateValue(\"uSizeRandomMax\", newParams.sizeRandomMax);\n updateValue(\"uDivergence\", newParams.divergence);\n updateValue(\"uDivergencePoint\", newParams.divergencePoint);\n\n updateCustomValue(customParams);\n },\n [updateValue, updateCustomValue]\n );\n\n return [\n updateUniform,\n {\n points,\n interactiveMesh,\n positions: modifiedPositions,\n uvs: modifiedUvs,\n },\n ];\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo } from \"react\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport { HooksReturn } from \"../../types\";\nimport {\n useCreateMorphParticles,\n UseCreateMorphParticlesProps,\n} from \"./useCreateMorphParticles\";\nimport { HooksProps3D } from \"../types\";\nimport { InteractiveMesh, MorphParticlePoints } from \"./utils/useCreateObject\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { CustomParams } from \"../../../utils/setUniforms\";\n\nexport type MorphParticlesParams = {\n /** progress value to morph vertices,0~1 */\n morphProgress?: number;\n blurAlpha?: number;\n blurRadius?: number;\n pointSize?: number;\n /** default : `1` */\n pointAlpha?: number;\n /** Since the color is extracted based on the attribute `uv`, the intended behavior will not occur if there is no uv in the attribute. */\n picture?: THREE.Texture | false;\n /** The alpha map is a grayscale texture that controls the opacity across the surface (black: fully transparent; white: fully opaque). use the green channel when sampling this texture. It also affects the size of the point. default : `false` */\n alphaPicture?: THREE.Texture | false;\n color0?: THREE.Color;\n color1?: THREE.Color;\n color2?: THREE.Color;\n color3?: THREE.Color;\n /** This maps to point,texture */\n map?: THREE.Texture | false;\n /** The alpha map is a grayscale texture that controls the opacity across the surface (black: fully transparent; white: fully opaque). use the green channel when sampling this texture. default : `false` */\n alphaMap?: THREE.Texture | false;\n /** If ​​wobbleStrength is set to 0, wobble will stop. It will also affect noise calculation, default : `0` */\n wobbleStrength?: number;\n wobblePositionFrequency?: number;\n wobbleTimeFrequency?: number;\n /** default : `0` */\n warpStrength?: number;\n warpPositionFrequency?: number;\n warpTimeFrequency?: number;\n /** Manipulate the vertices using the color channels of this texture. The strength of the displacement changes depending on the g channel of this texture */\n displacement?: THREE.Texture | false;\n /** Strength of displacement. The strength of displacement depends on g ch, but is the value multiplied by it , default : `1` */\n displacementIntensity?: number;\n /** Strength to reflect color ch of displacement texture */\n displacementColorIntensity?: number;\n /** If set to 0, noise calculation stops, default : `0` */\n sizeRandomIntensity?: number;\n sizeRandomTimeFrequency?: number;\n sizeRandomMin?: number;\n sizeRandomMax?: number;\n /** Divergence rate of a point. Negative cases are dense, positive cases are divergent, default : `0` */\n divergence?: number;\n /** Divergence centre point, default : `THREE.Vector3(0)` */\n divergencePoint?: THREE.Vector3;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n};\n\nexport type MorphParticlesObject = {\n scene: THREE.Scene;\n points: MorphParticlePoints;\n interactiveMesh: InteractiveMesh;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n positions: Float32Array[];\n uvs: Float32Array[];\n};\n\nexport const MORPHPARTICLES_PARAMS: MorphParticlesParams = Object.freeze({\n morphProgress: 0,\n blurAlpha: 0.9,\n blurRadius: 0.05,\n pointSize: 0.05,\n pointAlpha: 1,\n picture: false,\n alphaPicture: false,\n color0: new THREE.Color(0xff0000),\n color1: new THREE.Color(0x00ff00),\n color2: new THREE.Color(0x0000ff),\n color3: new THREE.Color(0xffff00),\n map: false,\n alphaMap: false,\n wobbleStrength: 0.0,\n wobblePositionFrequency: 0.5,\n wobbleTimeFrequency: 0.5,\n warpStrength: 0.0,\n warpPositionFrequency: 0.5,\n warpTimeFrequency: 0.5,\n displacement: false,\n displacementIntensity: 1,\n displacementColorIntensity: 0,\n sizeRandomIntensity: 0,\n sizeRandomTimeFrequency: 0.2,\n sizeRandomMin: 0.5,\n sizeRandomMax: 1.5,\n divergence: 0,\n divergencePoint: new THREE.Vector3(0),\n beat: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx\n */\nexport const useMorphParticles = ({\n size,\n dpr,\n isSizeUpdate,\n renderTargetOptions,\n camera,\n geometry,\n positions,\n uvs,\n onBeforeInit,\n}: HooksProps3D & UseCreateMorphParticlesProps): HooksReturn<\n MorphParticlesParams,\n MorphParticlesObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n\n const [\n updateUniform,\n {\n points,\n interactiveMesh,\n positions: generatedPositions,\n uvs: generatedUvs,\n },\n ] = useCreateMorphParticles({\n scene,\n size,\n dpr,\n geometry,\n positions,\n uvs,\n onBeforeInit,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n depthBuffer: true,\n ...renderTargetOptions,\n });\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: MorphParticlesParams,\n customParams?: CustomParams\n ) => {\n updateUniform(rootState, newParams, customParams);\n return updateRenderTarget(rootState.gl);\n },\n [updateRenderTarget, updateUniform]\n );\n\n const updateParams = useCallback(\n (newParams?: MorphParticlesParams, customParams?: CustomParams) => {\n updateUniform(null, newParams, customParams);\n },\n [updateUniform]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene,\n points,\n interactiveMesh,\n renderTarget,\n output: renderTarget.texture,\n positions: generatedPositions,\n uvs: generatedUvs,\n },\n ];\n};\n","import * as THREE from \"three\";\n\nexport const rewriteVertexShader = (\n parameters: THREE.WebGLProgramParametersWithUniforms\n) => {\n const isDepth = parameters.shaderType === \"MeshDepthMaterial\";\n\n parameters.vertexShader = parameters.vertexShader.replace(\n \"#include <beginnormal_vertex>\",\n `\n\t\t\tvec3 objectNormal = usf_Normal;\n\t\t\t#ifdef USE_TANGENT\n\t\t\tvec3 objectTangent = vec3( tangent.xyz );\n\t\t\t#endif\n\t\t`\n );\n\n parameters.vertexShader = parameters.vertexShader.replace(\n \"#include <begin_vertex>\",\n `\n\t\t\tvec3 transformed = usf_Position;\n\t\t\t#ifdef USE_ALPHAHASH\n\t\t\tvPosition = vec3( position );\n\t\t\t#endif\n\t\t`\n );\n\n parameters.vertexShader = parameters.vertexShader.replace(\n \"void main() {\",\n `\n\t\tuniform float uTime;\n\t\tuniform float uWobblePositionFrequency;\n\t\tuniform float uWobbleTimeFrequency;\n\t\tuniform float uWobbleStrength;\n\t\tuniform float uWarpPositionFrequency;\n\t\tuniform float uWarpTimeFrequency;\n\t\tuniform float uWarpStrength;\n\n\t\t${isDepth ? \"attribute vec4 tangent;\" : \"\"}\n\t\t\n\t\tvarying float vWobble;\n\t\tvarying vec2 vPosition;\n\t\t\n\t\t// edge\n\t\tvarying vec3 vEdgeNormal;\n\t\tvarying vec3 vEdgeViewPosition;\n\n\t\t#usf <wobble3D>\n\n\t\tvoid main() {\n\t\t\n\t\t\tvec3 usf_Position = position;\n\t\t\tvec3 usf_Normal = normal;\n\t\t\tvec3 biTangent = cross(normal, tangent.xyz);\n\t\t\t\n\t\t\t// Neighbours positions\n\t\t\tfloat shift = 0.01;\n\t\t\tvec3 positionA = usf_Position + tangent.xyz * shift;\n\t\t\tvec3 positionB = usf_Position + biTangent * shift;\n\t\t\t\n\t\t\t// wobble\n\t\t\tfloat wobble = (uWobbleStrength > 0.) ? getWobble(usf_Position) : 0.0;\n\t\t\tfloat wobblePositionA = (uWobbleStrength > 0.) ? getWobble(positionA) : 0.0;\n\t\t\tfloat wobblePositionB = (uWobbleStrength > 0.) ? getWobble(positionB) : 0.0;\n\t\t\t\n\t\t\tusf_Position += wobble * normal;\n\t\t\tpositionA += wobblePositionA * normal;\n\t\t\tpositionB += wobblePositionB * normal;\n\n\t\t\t// Compute normal\n\t\t\tvec3 toA = normalize(positionA - usf_Position);\n\t\t\tvec3 toB = normalize(positionB - usf_Position);\n\t\t\tusf_Normal = cross(toA, toB);\n\t\t\t\n\t\t\t// Varying\n\t\t\tvPosition = usf_Position.xy;\n\t\t\tvWobble = wobble/uWobbleStrength;\n\t\t\t\n\t\t\tvEdgeNormal = normalize(normalMatrix * usf_Normal);\n\t\t\tvec4 viewPosition = viewMatrix * modelMatrix * vec4(usf_Position, 1.0);\n\t\t\tvEdgeViewPosition = normalize(viewPosition.xyz);\n\t\t`\n );\n};\n","import * as THREE from \"three\";\n\nexport const rewriteFragmentShader = (\n parameters: THREE.WebGLProgramParametersWithUniforms\n) => {\n // diffuse color , Manipulate color mixing ratio with `uColorMix`\n parameters.fragmentShader = parameters.fragmentShader.replace(\n \"#include <color_fragment>\",\n `\n\t\t\t#include <color_fragment>\n\n\t\t\tif (uEdgeThreshold > 0.0) {\n\t\t\t\tfloat edgeThreshold = dot(vEdgeNormal, -vEdgeViewPosition);\n\t\t\t\tdiffuseColor = edgeThreshold < uEdgeThreshold ? vec4(uEdgeColor, 1.0) : mix(diffuseColor, usf_DiffuseColor, uColorMix);\n\t\t\t} else {\n\t\t\t\tdiffuseColor = mix(diffuseColor, usf_DiffuseColor, uColorMix);\n\t\t\t}\n\t\t`\n );\n\n parameters.fragmentShader = parameters.fragmentShader.replace(\n \"void main() {\",\n `\n\t\t\tuniform vec3 uColor0;\n\t\t\tuniform vec3 uColor1;\n\t\t\tuniform vec3 uColor2;\n\t\t\tuniform vec3 uColor3;\n\t\t\tuniform float uColorMix;\n\t\t\tuniform float uEdgeThreshold;\n\t\t\tuniform vec3 uEdgeColor;\n\t\t\t\n\t\t\t// transmission\n\t\t\tuniform float uChromaticAberration; \n\t\t\tuniform float uAnisotropicBlur; \n\t\t\tuniform float uTime;\n\t\t\tuniform float uDistortion;\n\t\t\tuniform float uDistortionScale;\n\t\t\tuniform float uTemporalDistortion;\n\t\t\tuniform float uRefractionSamples;\n\t\t\t\n\t\t\tfloat rand(float n){return fract(sin(n) * 43758.5453123);}\n\t\t\t\n\t\t\t#usf <snoise>\n\n\t\t\tvarying float vWobble;\n\t\t\tvarying vec2 vPosition;\n\t\t\tvarying vec3 vEdgeNormal;\n\t\t\tvarying vec3 vEdgeViewPosition;\n\t\t\t\n\t\t\tvoid main(){\n\t\t\t\t\n\t\t\t\tvec4 usf_DiffuseColor = vec4(1.0);\n\t\t\t\tfloat colorWobbleMix = smoothstep(-1.,1.,vWobble);\n\t\t\t\tvec2 colorPosMix = vec2(smoothstep(-1.,1.,vPosition.x),smoothstep(-1.,1.,vPosition.y));\n\t\t\t\n\t\t\t\tusf_DiffuseColor.rgb = mix(mix(uColor0, uColor1, colorPosMix.x), mix(uColor2, uColor3, colorPosMix.y), colorWobbleMix);\n\t\t`\n );\n};\n","#ifdef USE_TRANSMISSION\n\n\t// Transmission code is based on glTF-Sampler-Viewer\n\t// https://github.com/KhronosGroup/glTF-Sample-Viewer\n\n\tuniform float _transmission;\n\tuniform float thickness;\n\tuniform float attenuationDistance;\n\tuniform vec3 attenuationColor;\n\n\t#ifdef USE_TRANSMISSIONMAP\n\n\t\tuniform sampler2D transmissionMap;\n\n\t#endif\n\n\t#ifdef USE_THICKNESSMAP\n\n\t\tuniform sampler2D thicknessMap;\n\n\t#endif\n\n\tuniform vec2 transmissionSamplerSize;\n\tuniform sampler2D transmissionSamplerMap;\n\n\tuniform mat4 modelMatrix;\n\tuniform mat4 projectionMatrix;\n\n\tvarying vec3 vWorldPosition;\n\n\t// Mipped Bicubic Texture Filtering by N8\n\t// https://www.shadertoy.com/view/Dl2SDW\n\n\tfloat w0( float a ) {\n\n\t\treturn ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 );\n\n\t}\n\n\tfloat w1( float a ) {\n\n\t\treturn ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 );\n\n\t}\n\n\tfloat w2( float a ){\n\n\t\treturn ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 );\n\n\t}\n\n\tfloat w3( float a ) {\n\n\t\treturn ( 1.0 / 6.0 ) * ( a * a * a );\n\n\t}\n\n\t// g0 and g1 are the two amplitude functions\n\tfloat g0( float a ) {\n\n\t\treturn w0( a ) + w1( a );\n\n\t}\n\n\tfloat g1( float a ) {\n\n\t\treturn w2( a ) + w3( a );\n\n\t}\n\n\t// h0 and h1 are the two offset functions\n\tfloat h0( float a ) {\n\n\t\treturn - 1.0 + w1( a ) / ( w0( a ) + w1( a ) );\n\n\t}\n\n\tfloat h1( float a ) {\n\n\t\treturn 1.0 + w3( a ) / ( w2( a ) + w3( a ) );\n\n\t}\n\n\tvec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) {\n\n\t\tuv = uv * texelSize.zw + 0.5;\n\n\t\tvec2 iuv = floor( uv );\n\t\tvec2 fuv = fract( uv );\n\n\t\tfloat g0x = g0( fuv.x );\n\t\tfloat g1x = g1( fuv.x );\n\t\tfloat h0x = h0( fuv.x );\n\t\tfloat h1x = h1( fuv.x );\n\t\tfloat h0y = h0( fuv.y );\n\t\tfloat h1y = h1( fuv.y );\n\n\t\tvec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;\n\t\tvec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;\n\t\tvec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;\n\t\tvec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;\n\n\t\treturn g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) +\n\t\t\tg1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) );\n\n\t}\n\n\tvec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) {\n\n\t\tvec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) );\n\t\tvec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) );\n\t\tvec2 fLodSizeInv = 1.0 / fLodSize;\n\t\tvec2 cLodSizeInv = 1.0 / cLodSize;\n\t\tvec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) );\n\t\tvec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) );\n\t\treturn mix( fSample, cSample, fract( lod ) );\n\n\t}\n\n\tvec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) {\n\n\t\t// Direction of refracted light.\n\t\tvec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior );\n\n\t\t// Compute rotation-independant scaling of the model matrix.\n\t\tvec3 modelScale;\n\t\tmodelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) );\n\t\tmodelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) );\n\t\tmodelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) );\n\n\t\t// The thickness is specified in local space.\n\t\treturn normalize( refractionVector ) * thickness * modelScale;\n\n\t}\n\n\tfloat applyIorToRoughness( const in float roughness, const in float ior ) {\n\n\t\t// Scale roughness with IOR so that an IOR of 1.0 results in no microfacet refraction and\n\t\t// an IOR of 1.5 results in the default amount of microfacet refraction.\n\t\treturn roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 );\n\n\t}\n\n\tvec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) {\n\n\t\tfloat lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior );\n\t\treturn textureBicubic( transmissionSamplerMap, fragCoord.xy, lod );\n\n\t}\n\n\tvec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) {\n\n\t\tif ( isinf( attenuationDistance ) ) {\n\n\t\t\t// Attenuation distance is +∞, i.e. the transmitted color is not attenuated at all.\n\t\t\treturn vec3( 1.0 );\n\n\t\t} else {\n\n\t\t\t// Compute light attenuation using Beer's law.\n\t\t\tvec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance;\n\t\t\tvec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); // Beer's law\n\t\t\treturn transmittance;\n\n\t\t}\n\n\t}\n\n\tvec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor,\n\t\tconst in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix,\n\t\tconst in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness,\n\t\tconst in vec3 attenuationColor, const in float attenuationDistance ) {\n\n\t\tvec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix );\n\t\tvec3 refractedRayExit = position + transmissionRay;\n\n\t\t// Project refracted vector on the framebuffer, while mapping to normalized device coordinates.\n\t\tvec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );\n\t\tvec2 refractionCoords = ndcPos.xy / ndcPos.w;\n\t\trefractionCoords += 1.0;\n\t\trefractionCoords /= 2.0;\n\n\t\t// Sample framebuffer to get pixel the refracted ray hits.\n\t\tvec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior );\n\n\t\tvec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance );\n\t\tvec3 attenuatedColor = transmittance * transmittedLight.rgb;\n\n\t\t// Get the specular component.\n\t\tvec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness );\n\n\t\t// As less light is transmitted, the opacity should be increased. This simple approximation does a decent job \n\t\t// of modulating a CSS background, and has no effect when the buffer is opaque, due to a solid object or clear color.\n\t\tfloat transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0;\n\n\t\treturn vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor );\n\n\t}\n#endif","#ifdef USE_TRANSMISSION\n\nmaterial.transmission = _transmission;\nmaterial.transmissionAlpha = 1.0;\nmaterial.thickness = thickness;\nmaterial.attenuationDistance = attenuationDistance;\nmaterial.attenuationColor = attenuationColor;\n\n#ifdef USE_TRANSMISSIONMAP\n\n\tmaterial.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r;\n\n#endif\n\n#ifdef USE_THICKNESSMAP\n\n\tmaterial.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g;\n\n#endif\n\nvec3 pos = vWorldPosition;\n\nvec3 v = normalize( cameraPosition - pos );\nvec3 n = inverseTransformDirection( normal, viewMatrix );\n\nvec4 transmitted = getIBLVolumeRefraction(\n\tn, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,\n\tpos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness,\n\tmaterial.attenuationColor, material.attenuationDistance );\n\nmaterial.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission );\n\n// Custom from here\nfloat runningSeed = 0.0;\nvec3 transmission = vec3(0.0);\nfloat transmissionR, transmissionB, transmissionG;\nfloat randomCoords = rand(runningSeed++);\nfloat thickness_smear = thickness * max(pow(roughnessFactor, 0.33), uAnisotropicBlur);\nvec3 distortionNormal = vec3(0.0);\nvec3 temporalOffset = vec3(uTime, -uTime, -uTime) * uTemporalDistortion;\n\nif (uDistortion > 0.0) {\n\tdistortionNormal = uDistortion * vec3(snoiseFractal(vec3((pos * uDistortionScale + temporalOffset))), snoiseFractal(vec3(pos.zxy * uDistortionScale - temporalOffset)), snoiseFractal(vec3(pos.yxz * uDistortionScale + temporalOffset)));\n}\n\nfor (float i = 0.0; i < uRefractionSamples; i ++) {\n\tvec3 sampleNorm = normalize(n + roughnessFactor * roughnessFactor * 2.0 * normalize(vec3(rand(runningSeed++) - 0.5, rand(runningSeed++) - 0.5, rand(runningSeed++) - 0.5)) * pow(rand(runningSeed++), 0.33) + distortionNormal);\n\t\n\ttransmissionR = getIBLVolumeRefraction(\n\t\tsampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,\n\t\tpos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples,\n\t\tmaterial.attenuationColor, material.attenuationDistance\n\t).r;\n\ttransmissionG = getIBLVolumeRefraction(\n\t\tsampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,\n\t\tpos, modelMatrix, viewMatrix, projectionMatrix, material.ior * (1.0 + uChromaticAberration * (i + randomCoords) / uRefractionSamples) , material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples,\n\t\tmaterial.attenuationColor, material.attenuationDistance\n\t).g;\n\ttransmissionB = getIBLVolumeRefraction(\n\t\tsampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,\n\t\tpos, modelMatrix, viewMatrix, projectionMatrix, material.ior * (1.0 + 2.0 * uChromaticAberration * (i + randomCoords) / uRefractionSamples), material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples,\n\t\tmaterial.attenuationColor, material.attenuationDistance\n\t).b;\n\ttransmission.r += transmissionR;\n\ttransmission.g += transmissionG;\n\ttransmission.b += transmissionB;\n}\n\ntransmission /= uRefractionSamples;\n// to here\n\ntotalDiffuse = mix( totalDiffuse, transmission.rgb, material.transmission );\n\n#endif","import * as THREE from \"three\";\nimport transmission_pars_fragment from \"../shaders/transmission_pars_fragment.glsl\";\nimport transmission_fragment from \"../shaders/transmission_fragment.glsl\";\n\nexport const resolveEachMaterial = ({\n mat,\n isCustomTransmission,\n parameters,\n}: {\n mat: THREE.Material;\n isCustomTransmission: boolean;\n parameters: THREE.WebGLProgramParametersWithUniforms;\n}) => {\n // custom transmission\n if (mat.type === \"MeshPhysicalMaterial\" && isCustomTransmission) {\n parameters.fragmentShader = parameters.fragmentShader.replace(\n \"#include <transmission_pars_fragment>\",\n `${transmission_pars_fragment}`\n );\n\n parameters.fragmentShader = parameters.fragmentShader.replace(\n \"#include <transmission_fragment>\",\n `${transmission_fragment}`\n );\n }\n\n // if normalMap is defined, don't add tangent attribute\n if (!(mat as any).normalMap) {\n parameters.vertexShader = parameters.vertexShader.replace(\n \"void main() {\",\n `\n\t\t\t\tattribute vec4 tangent;\n\t\t\t\t\n\t\t\t\tvoid main() {\n\t\t\t`\n );\n }\n};\n","import * as THREE from \"three\";\nimport { useEffect, useMemo } from \"react\";\nimport { WOBBLE3D_PARAMS } from \".\";\nimport { MaterialProps, OnBeforeInitParameters } from \"../../types\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\nimport { rewriteVertexShader } from \"./utils/rewriteVertexShader\";\nimport { rewriteFragmentShader } from \"./utils/rewriteFragmentShader\";\nimport { resolveEachMaterial } from \"./utils/resolveEachMaterial\";\n\nexport class Wobble3DMaterial extends THREE.Material {\n uniforms!: {\n uTime: { value: number };\n uWobblePositionFrequency: { value: number };\n uWobbleTimeFrequency: { value: number };\n uWobbleStrength: { value: number };\n uWarpPositionFrequency: { value: number };\n uWarpTimeFrequency: { value: number };\n uWarpStrength: { value: number };\n uColor0: { value: THREE.Color };\n uColor1: { value: THREE.Color };\n uColor2: { value: THREE.Color };\n uColor3: { value: THREE.Color };\n uColorMix: { value: number };\n uEdgeThreshold: { value: number };\n uEdgeColor: { value: THREE.Color };\n uChromaticAberration: { value: number };\n uAnisotropicBlur: { value: number };\n uDistortion: { value: number };\n uDistortionScale: { value: number };\n uTemporalDistortion: { value: number };\n uRefractionSamples: { value: number };\n };\n}\n\nexport type WobbleMaterialConstructor = new (opts: {\n [key: string]: any;\n}) => THREE.Material;\n\ntype WobbleMaterialParams<T extends WobbleMaterialConstructor> =\n ConstructorParameters<T>[0];\n\nexport interface WobbleMaterialProps<T extends WobbleMaterialConstructor>\n extends MaterialProps {\n /** default:THREE.MeshPhysicalMaterial */\n baseMaterial?: T;\n materialParameters?: WobbleMaterialParams<T>;\n depthOnBeforeInit?: (parameters: OnBeforeInitParameters) => void;\n /**\n * Whether to apply more advanced `transmission` or not. valid only for `MeshPhysicalMaterial`. This is a function referring to `drei/MeshTransmissionMaterial`, default : `false`\n * @link https://github.com/pmndrs/drei?tab=readme-ov-file#meshtransmissionmaterial\n * */\n isCustomTransmission?: boolean;\n /** Whether to initialise `MeshDepthMaterial` or not , default : `false` */\n depth?: boolean;\n}\n\nexport const useMaterial = <T extends WobbleMaterialConstructor>({\n baseMaterial,\n materialParameters,\n isCustomTransmission = false,\n onBeforeInit,\n depthOnBeforeInit,\n depth = false,\n}: WobbleMaterialProps<T>) => {\n const { material, depthMaterial } = useMemo(() => {\n const mat = new (baseMaterial || THREE.MeshPhysicalMaterial)(\n materialParameters || {}\n );\n\n Object.assign(mat.userData, {\n uniforms: {\n uTime: { value: 0 },\n uWobblePositionFrequency: {\n value: WOBBLE3D_PARAMS.wobblePositionFrequency,\n },\n uWobbleTimeFrequency: {\n value: WOBBLE3D_PARAMS.wobbleTimeFrequency,\n },\n uWobbleStrength: { value: WOBBLE3D_PARAMS.wobbleStrength },\n uWarpPositionFrequency: {\n value: WOBBLE3D_PARAMS.warpPositionFrequency,\n },\n uWarpTimeFrequency: { value: WOBBLE3D_PARAMS.warpTimeFrequency },\n uWarpStrength: { value: WOBBLE3D_PARAMS.warpStrength },\n uColor0: { value: WOBBLE3D_PARAMS.color0 },\n uColor1: { value: WOBBLE3D_PARAMS.color1 },\n uColor2: { value: WOBBLE3D_PARAMS.color2 },\n uColor3: { value: WOBBLE3D_PARAMS.color3 },\n uColorMix: { value: WOBBLE3D_PARAMS.colorMix },\n uEdgeThreshold: { value: WOBBLE3D_PARAMS.edgeThreshold },\n uEdgeColor: { value: WOBBLE3D_PARAMS.edgeColor },\n uChromaticAberration: {\n value: WOBBLE3D_PARAMS.chromaticAberration,\n },\n uAnisotropicBlur: { value: WOBBLE3D_PARAMS.anisotropicBlur },\n uDistortion: { value: WOBBLE3D_PARAMS.distortion },\n uDistortionScale: { value: WOBBLE3D_PARAMS.distortionScale },\n uTemporalDistortion: { value: WOBBLE3D_PARAMS.temporalDistortion },\n uRefractionSamples: { value: WOBBLE3D_PARAMS.refractionSamples },\n transmission: { value: 0 },\n _transmission: { value: 1 },\n transmissionMap: { value: null },\n },\n });\n\n mat.onBeforeCompile = (parameters) => {\n rewriteVertexShader(parameters);\n\n rewriteFragmentShader(parameters);\n\n resolveEachMaterial({\n parameters,\n mat,\n isCustomTransmission,\n });\n\n const cutomizedParams = createMaterialParameters(\n {\n fragmentShader: parameters.fragmentShader,\n vertexShader: parameters.vertexShader,\n // Because wobble3D uses userData to update uniforms.\n uniforms: mat.userData.uniforms,\n },\n onBeforeInit\n );\n parameters.fragmentShader = cutomizedParams.fragmentShader;\n parameters.vertexShader = cutomizedParams.vertexShader;\n Object.assign(parameters.uniforms, cutomizedParams.uniforms);\n };\n mat.needsUpdate = true;\n\n /*===============================================\n\t\tdepthMaterial\n\t\t===============================================*/\n let depthMat = null;\n if (depth) {\n depthMat = new THREE.MeshDepthMaterial({\n depthPacking: THREE.RGBADepthPacking,\n });\n depthMat.onBeforeCompile = (parameters) => {\n Object.assign(parameters.uniforms, mat.userData.uniforms);\n rewriteVertexShader(parameters);\n createMaterialParameters(parameters, depthOnBeforeInit);\n };\n depthMat.needsUpdate = true;\n }\n\n return { material: mat, depthMaterial: depthMat };\n }, [\n materialParameters,\n baseMaterial,\n onBeforeInit,\n depthOnBeforeInit,\n isCustomTransmission,\n depth,\n ]);\n\n // Only the depthMaterial is disposed of because the material is disposed of by useAddObject.\n useEffect(() => {\n return () => {\n if (depthMaterial) depthMaterial.dispose();\n };\n }, [depthMaterial]);\n\n return {\n material: material as Wobble3DMaterial,\n depthMaterial,\n };\n};\n","import * as THREE from \"three\";\nimport { RootState } from \"@react-three/fiber\";\nimport { mergeVertices } from \"three-stdlib\";\nimport {\n useMaterial,\n Wobble3DMaterial,\n WobbleMaterialProps,\n WobbleMaterialConstructor,\n} from \"./useMaterial\";\nimport { Wobble3DParams } from \".\";\nimport {\n setUniform,\n setCustomUniform,\n CustomParams,\n} from \"../../../utils/setUniforms\";\nimport { useCallback, useMemo } from \"react\";\nimport { useAddObject } from \"../../../utils/useAddObject\";\nimport { Create3DHooksProps } from \"../types\";\n\nexport type UseCreateWobble3DProps = {\n /** default : `THREE.IcosahedronGeometry(2,20)` */\n geometry?: THREE.BufferGeometry;\n};\n\ntype UpdateUniform = (\n rootState: RootState | null,\n newParams?: Wobble3DParams,\n customParams?: CustomParams\n) => void;\n\ntype UseCreateWobble3DReturn<T> = [\n UpdateUniform,\n {\n mesh: THREE.Mesh;\n depthMaterial: THREE.MeshDepthMaterial | null;\n }\n];\n\nexport const useCreateWobble3D = <T extends WobbleMaterialConstructor>({\n scene = false,\n geometry,\n isCustomTransmission,\n baseMaterial,\n materialParameters,\n depth,\n onBeforeInit,\n depthOnBeforeInit,\n}: UseCreateWobble3DProps &\n Create3DHooksProps &\n WobbleMaterialProps<T>): UseCreateWobble3DReturn<T> => {\n const wobbleGeometry = useMemo(() => {\n let geo = geometry || new THREE.IcosahedronGeometry(2, 20);\n geo = mergeVertices(geo);\n geo.computeTangents();\n return geo;\n }, [geometry]);\n const { material, depthMaterial } = useMaterial({\n baseMaterial,\n materialParameters,\n isCustomTransmission,\n onBeforeInit,\n depthOnBeforeInit,\n depth,\n });\n\n const mesh = useAddObject(scene, wobbleGeometry, material, THREE.Mesh);\n\n const userData = material.userData as Wobble3DMaterial;\n\n const updateValue = setUniform(userData);\n const updateCustomValue = setCustomUniform(userData);\n\n const updateUniform = useCallback<UpdateUniform>(\n (rootState, newParams, customParams) => {\n if (rootState) {\n updateValue(\n \"uTime\",\n newParams?.beat || rootState.clock.getElapsedTime()\n );\n }\n if (newParams === undefined) {\n return;\n }\n updateValue(\"uWobbleStrength\", newParams.wobbleStrength);\n updateValue(\n \"uWobblePositionFrequency\",\n newParams.wobblePositionFrequency\n );\n updateValue(\"uWobbleTimeFrequency\", newParams.wobbleTimeFrequency);\n updateValue(\"uWarpStrength\", newParams.warpStrength);\n updateValue(\"uWarpPositionFrequency\", newParams.warpPositionFrequency);\n updateValue(\"uWarpTimeFrequency\", newParams.warpTimeFrequency);\n updateValue(\"uColor0\", newParams.color0);\n updateValue(\"uColor1\", newParams.color1);\n updateValue(\"uColor2\", newParams.color2);\n updateValue(\"uColor3\", newParams.color3);\n updateValue(\"uColorMix\", newParams.colorMix);\n updateValue(\"uEdgeThreshold\", newParams.edgeThreshold);\n updateValue(\"uEdgeColor\", newParams.edgeColor);\n updateValue(\"uChromaticAberration\", newParams.chromaticAberration);\n updateValue(\"uAnisotropicBlur\", newParams.anisotropicBlur);\n updateValue(\"uDistortion\", newParams.distortion);\n updateValue(\"uDistortionScale\", newParams.distortionScale);\n updateValue(\"uRefractionSamples\", newParams.refractionSamples);\n updateValue(\"uTemporalDistortion\", newParams.temporalDistortion);\n\n updateCustomValue(customParams);\n },\n [updateValue, updateCustomValue]\n );\n\n return [\n updateUniform,\n {\n mesh,\n depthMaterial,\n },\n ];\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo } from \"react\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../../utils/useSingleFBO\";\nimport { HooksReturn } from \"../../types\";\nimport { useCreateWobble3D, UseCreateWobble3DProps } from \"./useCreateWobble3D\";\nimport { WobbleMaterialProps, WobbleMaterialConstructor } from \"./useMaterial\";\nimport { HooksProps3D } from \"../types\";\nimport { getDpr } from \"../../../utils/getDpr\";\nimport { CustomParams } from \"../../../utils/setUniforms\";\n\nexport type Wobble3DParams = {\n /** default : `0.3` */\n wobbleStrength?: number;\n /** default : `0.3` */\n wobblePositionFrequency?: number;\n /** default : `0.3` */\n wobbleTimeFrequency?: number;\n /** default : `0.3` */\n warpStrength?: number;\n /** default : `0.3` */\n warpPositionFrequency?: number;\n /** default : `0.3` */\n warpTimeFrequency?: number;\n color0?: THREE.Color;\n color1?: THREE.Color;\n color2?: THREE.Color;\n color3?: THREE.Color;\n /** Mixing ratio with the material's original output color, 0~1 , defaulat : `1` */\n colorMix?: number;\n /** Threshold of edge. 0 for edge disabled, default : `0` */\n edgeThreshold?: number;\n /** Color of edge. default : `0x000000` */\n edgeColor?: THREE.Color;\n /** you can get into the rhythm ♪ , default : `false` */\n beat?: number | false;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */\n chromaticAberration?: number;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */\n anisotropicBlur?: number;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.0` */\n distortion?: number;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */\n distortionScale?: number;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.0` */\n temporalDistortion?: number;\n /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `6` */\n refractionSamples?: number;\n};\n\nexport type Wobble3DObject = {\n scene: THREE.Scene;\n mesh: THREE.Mesh;\n depthMaterial: THREE.MeshDepthMaterial | null;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n};\n\nexport const WOBBLE3D_PARAMS: Wobble3DParams = Object.freeze({\n wobbleStrength: 0.3,\n wobblePositionFrequency: 0.3,\n wobbleTimeFrequency: 0.3,\n warpStrength: 0.3,\n warpPositionFrequency: 0.3,\n warpTimeFrequency: 0.3,\n color0: new THREE.Color(0xff0000),\n color1: new THREE.Color(0x00ff00),\n color2: new THREE.Color(0x0000ff),\n color3: new THREE.Color(0xffff00),\n colorMix: 1,\n edgeThreshold: 0.0,\n edgeColor: new THREE.Color(0x000000),\n chromaticAberration: 0.1,\n anisotropicBlur: 0.1,\n distortion: 0.0,\n distortionScale: 0.1,\n temporalDistortion: 0.0,\n refractionSamples: 6,\n beat: false,\n});\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx\n */\nexport const useWobble3D = <T extends WobbleMaterialConstructor>({\n size,\n dpr,\n renderTargetOptions,\n isSizeUpdate,\n camera,\n geometry,\n baseMaterial,\n materialParameters,\n isCustomTransmission,\n onBeforeInit,\n depthOnBeforeInit,\n depth,\n}: HooksProps3D & UseCreateWobble3DProps & WobbleMaterialProps<T>): HooksReturn<\n Wobble3DParams,\n Wobble3DObject,\n CustomParams\n> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n\n const [updateUniform, { mesh, depthMaterial }] = useCreateWobble3D({\n baseMaterial,\n materialParameters,\n scene,\n geometry,\n isCustomTransmission,\n onBeforeInit,\n depthOnBeforeInit,\n depth,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n depthBuffer: true,\n ...renderTargetOptions,\n });\n\n const updateFx = useCallback(\n (\n RootState: RootState,\n newParams?: Wobble3DParams,\n customParams?: CustomParams\n ) => {\n updateUniform(RootState, newParams, customParams);\n return updateRenderTarget(RootState.gl);\n },\n [updateRenderTarget, updateUniform]\n );\n\n const updateParams = useCallback(\n (newParams?: Wobble3DParams, customParams?: CustomParams) => {\n updateUniform(null, newParams, customParams);\n },\n [updateUniform]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene,\n mesh,\n depthMaterial,\n renderTarget,\n output: renderTarget.texture,\n },\n ];\n};\n","import * as THREE from \"three\";\nimport { useEffect, useMemo } from \"react\";\n\n/** Generate mesh from geometry and material and add to scene */\nexport const useAddMesh = (\n scene: THREE.Scene,\n geometry: THREE.BufferGeometry,\n material: THREE.Material\n) => {\n const mesh = useMemo(() => {\n const mesh = new THREE.Mesh(geometry, material);\n scene.add(mesh);\n return mesh;\n }, [geometry, material, scene]);\n\n useEffect(() => {\n return () => {\n scene.remove(mesh);\n geometry.dispose();\n material.dispose();\n };\n }, [scene, geometry, material, mesh]);\n\n return mesh;\n};\n","import { useMemo, useRef } from \"react\";\nimport { Size } from \"../fxs/types\";\n\nconst checkUpdate = (\n currentW: number,\n currentH: number,\n memoW: number,\n memoH: number,\n threshold: number,\n boundFor: \"smaller\" | \"larger\" | \"both\"\n) => {\n const isSmaller =\n currentW < memoW - threshold || currentH < memoH - threshold;\n const isLarger =\n currentW > memoW + threshold || currentH > memoH + threshold;\n\n return (\n (boundFor === \"smaller\" && isSmaller) ||\n (boundFor === \"larger\" && isLarger) ||\n (boundFor === \"both\" && (isSmaller || isLarger))\n );\n};\n\nexport const useResizeBoundary = ({\n size,\n boundFor,\n threshold,\n}: {\n size: Size;\n boundFor: \"smaller\" | \"larger\" | \"both\";\n threshold: number;\n}) => {\n const memorizedSize = useRef<Size>(size);\n\n const isBeyondBoundary = useMemo<boolean>(() => {\n const { width: currentW, height: currentH } = size;\n const { width: memoW, height: memoH } = memorizedSize.current;\n\n const isUpdate = checkUpdate(\n currentW,\n currentH,\n memoW,\n memoH,\n threshold,\n boundFor\n );\n\n if (isUpdate) {\n memorizedSize.current = size;\n }\n return isUpdate;\n }, [size, boundFor, threshold]);\n\n return isBeyondBoundary;\n};\n","export type EasingTypes =\n | \"easeInSine\"\n | \"easeOutSine\"\n | \"easeInOutSine\"\n | \"easeInQuad\"\n | \"easeOutQuad\"\n | \"easeInOutQuad\"\n | \"easeInCubic\"\n | \"easeOutCubic\"\n | \"easeInOutCubic\"\n | \"easeInQuart\"\n | \"easeOutQuart\"\n | \"easeInOutQuart\"\n | \"easeInQuint\"\n | \"easeOutQuint\"\n | \"easeInOutQuint\"\n | \"easeInExpo\"\n | \"easeOutExpo\"\n | \"easeInOutExpo\"\n | \"easeInCirc\"\n | \"easeOutCirc\"\n | \"easeInOutCirc\"\n | \"easeInBack\"\n | \"easeOutBack\"\n | \"easeInOutBack\"\n | \"easeInElastic\"\n | \"easeOutElastic\"\n | \"easeInOutElastic\"\n | \"easeInBounce\"\n | \"easeOutBounce\"\n | \"easeInOutBounce\";\n\ntype EasingFunctions = {\n [K in EasingTypes]: (x: number) => number;\n};\n\n/**\n * from https://github.com/ai/easings.net\n */\nexport const Easing: EasingFunctions = Object.freeze({\n easeInSine(x: number): number {\n return 1 - Math.cos((x * Math.PI) / 2);\n },\n easeOutSine(x: number): number {\n return Math.sin((x * Math.PI) / 2);\n },\n easeInOutSine(x: number): number {\n return -(Math.cos(Math.PI * x) - 1) / 2;\n },\n easeInQuad(x: number): number {\n return x * x;\n },\n easeOutQuad(x: number): number {\n return 1 - (1 - x) * (1 - x);\n },\n easeInOutQuad(x: number): number {\n return x < 0.5 ? 2 * x * x : 1 - Math.pow(-2 * x + 2, 2) / 2;\n },\n easeInCubic(x: number): number {\n return x * x * x;\n },\n easeOutCubic(x: number): number {\n return 1 - Math.pow(1 - x, 3);\n },\n easeInOutCubic(x: number): number {\n return x < 0.5 ? 4 * x * x * x : 1 - Math.pow(-2 * x + 2, 3) / 2;\n },\n easeInQuart(x: number): number {\n return x * x * x * x;\n },\n easeOutQuart(x: number): number {\n return 1 - Math.pow(1 - x, 4);\n },\n easeInOutQuart(x: number): number {\n return x < 0.5 ? 8 * x * x * x * x : 1 - Math.pow(-2 * x + 2, 4) / 2;\n },\n easeInQuint(x: number): number {\n return x * x * x * x * x;\n },\n easeOutQuint(x: number): number {\n return 1 - Math.pow(1 - x, 5);\n },\n easeInOutQuint(x: number): number {\n return x < 0.5 ? 16 * x * x * x * x * x : 1 - Math.pow(-2 * x + 2, 5) / 2;\n },\n easeInExpo(x: number): number {\n return x === 0 ? 0 : Math.pow(2, 10 * x - 10);\n },\n easeOutExpo(x: number): number {\n return x === 1 ? 1 : 1 - Math.pow(2, -10 * x);\n },\n easeInOutExpo(x: number): number {\n return x === 0\n ? 0\n : x === 1\n ? 1\n : x < 0.5\n ? Math.pow(2, 20 * x - 10) / 2\n : (2 - Math.pow(2, -20 * x + 10)) / 2;\n },\n easeInCirc(x: number): number {\n return 1 - Math.sqrt(1 - Math.pow(x, 2));\n },\n easeOutCirc(x: number): number {\n return Math.sqrt(1 - Math.pow(x - 1, 2));\n },\n easeInOutCirc(x: number): number {\n return x < 0.5\n ? (1 - Math.sqrt(1 - Math.pow(2 * x, 2))) / 2\n : (Math.sqrt(1 - Math.pow(-2 * x + 2, 2)) + 1) / 2;\n },\n easeInBack(x: number): number {\n const c1 = 1.70158;\n const c3 = c1 + 1;\n\n return c3 * x * x * x - c1 * x * x;\n },\n easeOutBack(x: number): number {\n const c1 = 1.70158;\n const c3 = c1 + 1;\n\n return 1 + c3 * Math.pow(x - 1, 3) + c1 * Math.pow(x - 1, 2);\n },\n easeInOutBack(x: number): number {\n const c1 = 1.70158;\n const c2 = c1 * 1.525;\n\n return x < 0.5\n ? (Math.pow(2 * x, 2) * ((c2 + 1) * 2 * x - c2)) / 2\n : (Math.pow(2 * x - 2, 2) * ((c2 + 1) * (x * 2 - 2) + c2) + 2) / 2;\n },\n easeInElastic(x: number): number {\n const c4 = (2 * Math.PI) / 3;\n\n return x === 0\n ? 0\n : x === 1\n ? 1\n : -Math.pow(2, 10 * x - 10) * Math.sin((x * 10 - 10.75) * c4);\n },\n easeOutElastic(x: number): number {\n const c4 = (2 * Math.PI) / 3;\n\n return x === 0\n ? 0\n : x === 1\n ? 1\n : Math.pow(2, -10 * x) * Math.sin((x * 10 - 0.75) * c4) + 1;\n },\n easeInOutElastic(x: number): number {\n const c5 = (2 * Math.PI) / 4.5;\n\n return x === 0\n ? 0\n : x === 1\n ? 1\n : x < 0.5\n ? -(Math.pow(2, 20 * x - 10) * Math.sin((20 * x - 11.125) * c5)) / 2\n : (Math.pow(2, -20 * x + 10) * Math.sin((20 * x - 11.125) * c5)) / 2 +\n 1;\n },\n easeInBounce(x: number): number {\n return 1 - Easing.easeOutBounce(1 - x);\n },\n easeOutBounce(x: number): number {\n const n1 = 7.5625;\n const d1 = 2.75;\n\n if (x < 1 / d1) {\n return n1 * x * x;\n } else if (x < 2 / d1) {\n return n1 * (x -= 1.5 / d1) * x + 0.75;\n } else if (x < 2.5 / d1) {\n return n1 * (x -= 2.25 / d1) * x + 0.9375;\n } else {\n return n1 * (x -= 2.625 / d1) * x + 0.984375;\n }\n },\n easeInOutBounce(x: number): number {\n return x < 0.5\n ? (1 - Easing.easeOutBounce(1 - 2 * x)) / 2\n : (1 + Easing.easeOutBounce(2 * x - 1)) / 2;\n },\n});\n","import * as THREE from \"three\";\nimport { Easing, EasingTypes } from \"../libs/Easings\";\nimport { useCallback } from \"react\";\n\n/** Returns a unique hash specific to the beat */\nfunction getHash(input: number) {\n let n = Math.sin(input * 12.9898) * 43758.5453;\n return n - Math.floor(n);\n}\n\ntype BeatValues = {\n beat: number;\n floor: number;\n fract: number;\n /** unique hash specific to the beat */\n hash: number;\n};\n\n/**\n * @param ease easing functions are referenced from https://github.com/ai/easings.net , default : \"easeOutQuart\"\n */\nexport const useBeat = (bpm: number, ease: EasingTypes = \"easeOutQuart\") => {\n const rhythm = bpm / 60;\n const easing = Easing[ease];\n const updateBeat = useCallback(\n (clock: THREE.Clock) => {\n let beat = clock.getElapsedTime() * rhythm;\n const floor = Math.floor(beat);\n const fract = easing(beat - floor);\n beat = fract + floor;\n const hash = getHash(floor);\n return {\n beat,\n floor,\n fract,\n hash,\n } as BeatValues;\n },\n [rhythm, easing]\n );\n return updateBeat;\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo, useRef } from \"react\";\n\n/**\n * @param fps FPS you want to limit , default : `60`\n *\n * ```tsx\n * const limiter = useFPSLimiter(fps);\n * useFrame((props) => {\n * if (limiter(props.clock)) {\n *\t\t //some code\n * }\n * });\n * ```\n */\nexport const useFPSLimiter = (fps: number = 60) => {\n const interval = useMemo(() => 1 / Math.max(Math.min(fps, 60), 1), [fps]);\n const prevTime = useRef<number | null>(null);\n\n const limiter = useCallback(\n (clock: THREE.Clock) => {\n const tick = clock.getElapsedTime();\n if (prevTime.current === null) {\n prevTime.current = tick;\n return true;\n }\n const deltaTime = tick - prevTime.current;\n if (deltaTime >= interval) {\n prevTime.current = tick;\n return true;\n }\n return false;\n },\n [interval]\n );\n\n return limiter;\n};\n","import { DomSyncerParams } from \"..\";\n\nexport const errorHandler = (params: DomSyncerParams) => {\n const domLength = params.dom?.length;\n const textureLength = params.texture?.length;\n\n if (!domLength || !textureLength) {\n return true;\n }\n\n if (domLength !== textureLength) {\n return true;\n }\n\n return false;\n};\n","varying vec2 vUv;\n\nvoid main() {\n\tvUv = uv;\n\tgl_Position = projectionMatrix * viewMatrix * modelMatrix * vec4(position, 1.0);\n}","precision highp float;\n\nvarying vec2 vUv;\nuniform sampler2D u_texture;\nuniform vec2 u_textureResolution;\nuniform vec2 u_resolution;\nuniform float u_borderRadius;\n\nvoid main() {\n\t// texuture color\n\tfloat screenAspect = u_resolution.x / u_resolution.y;\n\tfloat textureAspect = u_textureResolution.x / u_textureResolution.y;\n\tvec2 ratio = vec2(\n\t\tmin(screenAspect / textureAspect, 1.0),\n\t\tmin(textureAspect / screenAspect, 1.0)\n\t);\n\n\tvec2 adjustedUv = vUv * ratio + (1.0 - ratio) * 0.5;\n\tvec3 textureColor = texture2D(u_texture, adjustedUv).rgb;\n\tfloat textureAlpha = texture2D(u_texture, adjustedUv).a;\n\n\t// Based on https://mofu-dev.com/en/blog/three-dom-alignment/\n\tfloat maxSide = max(u_resolution.x, u_resolution.y);\n\tfloat minSide = min(u_resolution.x, u_resolution.y);\n\tvec2 aspect = u_resolution / maxSide;\n\tvec2 alphaUv = vUv - 0.5;\n\n\tfloat borderRadius = min(u_borderRadius, minSide * 0.5);\n\tvec2 offset = vec2(borderRadius) / u_resolution;\n\tvec2 alphaXY = smoothstep(vec2(0.5 - offset), vec2(0.5 - offset - 0.001), abs(alphaUv));\n\tfloat alpha = min(1.0, alphaXY.x + alphaXY.y);\n\n\tvec2 alphaUv2 = abs(vUv - 0.5);\n\tfloat radius = borderRadius / maxSide;\n\talphaUv2 = (alphaUv2 - 0.5) * aspect + radius;\n\tfloat roundAlpha = smoothstep(radius + 0.001, radius, length(alphaUv2));\n\n\talpha = min(1.0, alpha + roundAlpha);\n\n\t// multiply texture alpha\n\talpha *= textureAlpha;\n\n\tgl_FragColor = vec4(textureColor, alpha);\n}\n","import * as THREE from \"three\";\nimport { DomSyncerParams } from \"../\";\nimport vertexShader from \"../shader/main.vert\";\nimport fragmentShader from \"../shader/main.frag\";\nimport { MaterialProps, Size } from \"../../../fxs/types\";\nimport { MATERIAL_BASIC_PARAMS } from \"../../../libs/constants\";\nimport { createMaterialParameters } from \"../../../utils/createMaterialParameters\";\n\nexport class DomSyncerMaterial extends THREE.ShaderMaterial {\n uniforms!: {\n u_texture: { value: THREE.Texture };\n u_textureResolution: { value: THREE.Vector2 };\n u_resolution: { value: THREE.Vector2 };\n u_borderRadius: { value: number };\n };\n}\n\nexport const createMesh = ({\n params,\n scene,\n onBeforeInit,\n}: {\n params: DomSyncerParams;\n size: Size;\n scene: THREE.Scene;\n} & MaterialProps) => {\n if (scene.children.length > 0) {\n scene.children.forEach((child) => {\n if (child instanceof THREE.Mesh) {\n child.geometry.dispose();\n child.material.dispose();\n }\n });\n scene.remove(...scene.children);\n }\n\n params.texture!.forEach((texture, i) => {\n const mat = new THREE.ShaderMaterial({\n ...createMaterialParameters(\n {\n uniforms: {\n u_texture: { value: texture },\n u_textureResolution: {\n value: new THREE.Vector2(0, 0),\n },\n u_resolution: { value: new THREE.Vector2(0, 0) },\n u_borderRadius: {\n value: params.boderRadius![i]\n ? params.boderRadius![i]\n : 0.0,\n },\n },\n vertexShader: vertexShader,\n fragmentShader: fragmentShader,\n },\n onBeforeInit\n ),\n ...MATERIAL_BASIC_PARAMS,\n // Must be transparent.\n transparent: true,\n });\n\n const mesh = new THREE.Mesh(new THREE.PlaneGeometry(1, 1), mat);\n scene.add(mesh);\n });\n};\n","import { useCallback, useRef } from \"react\";\nimport { DomSyncerParams } from \"..\";\n\nexport const useIntersectionHandler = () => {\n const intersectionObserverRef = useRef<IntersectionObserver[]>([]);\n const intersectionDomRef = useRef<(HTMLElement | Element | null)[]>([]);\n\n const intersectionHandler = useCallback(\n ({\n isIntersectingRef,\n isIntersectingOnceRef,\n params,\n }: {\n isIntersectingRef: React.MutableRefObject<boolean[]>;\n isIntersectingOnceRef: React.MutableRefObject<boolean[]>;\n params: DomSyncerParams;\n }) => {\n if (intersectionObserverRef.current.length > 0) {\n intersectionObserverRef.current.forEach((observer, i) => {\n observer.unobserve(intersectionDomRef.current[i]!);\n });\n }\n\n intersectionDomRef.current = [];\n intersectionObserverRef.current = [];\n\n const newArr = new Array(params.dom!.length).fill(false);\n isIntersectingRef.current = [...newArr];\n isIntersectingOnceRef.current = [...newArr];\n\n params.dom!.forEach((dom, i) => {\n const callback = (entries: IntersectionObserverEntry[]) => {\n entries.forEach((entry) => {\n params.onIntersect![i] && params.onIntersect![i](entry);\n // Update the judgment after execution so that the judgment of isIntersectin can be used when executing onIntersect\n isIntersectingRef.current[i] = entry.isIntersecting;\n });\n };\n const observer = new IntersectionObserver(callback, {\n rootMargin: \"0px\",\n threshold: 0,\n });\n observer.observe(dom!);\n intersectionObserverRef.current.push(observer);\n intersectionDomRef.current.push(dom!);\n });\n },\n []\n );\n\n return intersectionHandler;\n};\n","import * as THREE from \"three\";\nimport { DomSyncerParams } from \"..\";\nimport {\n CustomParams,\n setCustomUniform,\n setUniform,\n} from \"../../../utils/setUniforms\";\nimport { DomSyncerMaterial } from \"./createMesh\";\nimport { useCallback, useRef } from \"react\";\nimport { Size } from \"../../../fxs/types\";\n\ntype UpdateDomRect = ({\n params,\n customParams,\n size,\n resolutionRef,\n scene,\n isIntersectingRef,\n}: {\n params: DomSyncerParams;\n customParams?: CustomParams;\n size: Size;\n resolutionRef: React.MutableRefObject<THREE.Vector2>;\n scene: THREE.Scene;\n isIntersectingRef: React.MutableRefObject<boolean[]>;\n}) => void;\n\ntype UseUpdateDomRectReturn = [DOMRect[], UpdateDomRect];\n\nexport const useUpdateDomRect = (): UseUpdateDomRectReturn => {\n const domRects = useRef<DOMRect[]>([]);\n\n const updateDomRects: UpdateDomRect = useCallback(\n ({\n params,\n customParams,\n size,\n resolutionRef,\n scene,\n isIntersectingRef,\n }) => {\n // Initialize domRects if the number of children in the scene is different from the number of DOMRect\n if (scene.children.length !== domRects.current!.length) {\n domRects.current = new Array(scene.children.length);\n }\n\n scene.children.forEach((mesh, i) => {\n const domElement = params.dom![i];\n if (!domElement) {\n return;\n }\n\n // DOMRect is updated even outside the intersection\n const rect = domElement.getBoundingClientRect();\n domRects.current[i] = rect;\n\n // Intersection cannot be determined accurately depending on the mobile navigation bar, so it seems better to update it constantly\n mesh.scale.set(rect.width, rect.height, 1.0);\n mesh.position.set(\n rect.left + rect.width * 0.5 - size.width * 0.5,\n -rect.top - rect.height * 0.5 + size.height * 0.5,\n 0.0\n );\n\n if (isIntersectingRef.current[i]) {\n if (params.rotation![i]) {\n mesh.rotation.copy(params.rotation![i]);\n }\n\n if (mesh instanceof THREE.Mesh) {\n const material: DomSyncerMaterial = mesh.material;\n const updateValue = setUniform(material);\n const updateCustomValue = setCustomUniform(material);\n updateValue(\"u_texture\", params.texture![i]);\n updateValue(\"u_textureResolution\", [\n params.texture![i]?.source?.data?.width || 0,\n params.texture![i]?.source?.data?.height || 0,\n ]);\n updateValue(\n \"u_resolution\",\n resolutionRef.current.set(rect.width, rect.height)\n );\n updateValue(\n \"u_borderRadius\",\n params.boderRadius![i] ? params.boderRadius![i] : 0.0\n );\n updateCustomValue(customParams);\n }\n }\n });\n },\n []\n );\n\n return [domRects.current, updateDomRects];\n};\n","import { useCallback, useRef } from \"react\";\n\nexport type IsIntersecting = (\n index: number,\n once?: boolean\n) => boolean[] | boolean;\n\nexport const useIsIntersecting = () => {\n const isIntersectingRef = useRef<boolean[]>([]);\n const isIntersectingOnceRef = useRef<boolean[]>([]);\n\n const isIntersecting: IsIntersecting = useCallback((index, once = false) => {\n isIntersectingRef.current.forEach((value, i) => {\n if (value) {\n isIntersectingOnceRef.current[i] = true;\n }\n });\n const temp = once\n ? [...isIntersectingOnceRef.current]\n : [...isIntersectingRef.current];\n return index < 0 ? temp : temp[index];\n }, []);\n\n return {\n isIntersectingRef,\n isIntersectingOnceRef,\n isIntersecting,\n };\n};\n","import { useEffect, useRef } from \"react\";\n\nexport type UseDomViewProps = {\n onView?: () => void;\n onHidden?: () => void;\n};\n\nexport type UseDomView = (props: UseDomViewProps) => void;\n\nexport const createUseDomView = (\n isIntersectingRef: React.MutableRefObject<boolean[]>\n): UseDomView => {\n const useDomView = ({ onView, onHidden }: UseDomViewProps) => {\n const isView = useRef<boolean>(false);\n useEffect(() => {\n let id: number;\n const filterIntersection = () => {\n if (isIntersectingRef.current.some((item) => item)) {\n if (!isView.current) {\n onView && onView();\n isView.current = true;\n }\n } else {\n if (isView.current) {\n onHidden && onHidden();\n isView.current = false;\n }\n }\n id = requestAnimationFrame(filterIntersection);\n };\n id = requestAnimationFrame(filterIntersection);\n return () => {\n cancelAnimationFrame(id);\n };\n }, [onView, onHidden]);\n };\n return useDomView;\n};\n","import * as THREE from \"three\";\nimport { useCallback, useMemo, useRef, useState, Key } from \"react\";\nimport { useCamera } from \"../../utils/useCamera\";\nimport { RootState } from \"@react-three/fiber\";\nimport { useSingleFBO } from \"../../utils/useSingleFBO\";\nimport { HooksProps, HooksReturn } from \"../../fxs/types\";\nimport { useParams } from \"../../utils/useParams\";\nimport { errorHandler } from \"./utils/errorHandler\";\nimport { createMesh } from \"./utils/createMesh\";\nimport { useIntersectionHandler } from \"./utils/useIntersectionHandler\";\nimport { useUpdateDomRect } from \"./utils/useUpdateDomRect\";\nimport { useIsIntersecting, IsIntersecting } from \"./utils/useIsIntersecting\";\nimport { UseDomView, createUseDomView } from \"./utils/createUseDomView\";\nimport { getDpr } from \"../../utils/getDpr\";\nimport { CustomParams } from \"../../utils/setUniforms\";\nimport { DEFAULT_TEXTURE } from \"../../libs/constants\";\n\nexport type DomSyncerParams = {\n /** DOM array you want to synchronize */\n dom?: (HTMLElement | Element | null)[];\n /** Texture array that you want to synchronize with the DOM rectangle */\n texture?: THREE.Texture[];\n /** default : `0.0[]` */\n boderRadius?: number[];\n /** the angle you want to rotate */\n rotation?: THREE.Euler[];\n /** Array of callback functions when crossed */\n onIntersect?: ((entry: IntersectionObserverEntry) => void)[];\n /** Because DOM rendering and React updates occur asynchronously, there may be a lag between updating dependent arrays and setting DOM arrays. That's what the Key is for. If the dependent array is updated but the Key is not, the loop will skip and return an empty texture. By updating the timing key when DOM acquisition is complete, you can perfectly synchronize DOM and Mesh updates.updateKey must be a unique value for each update, for example `performance.now()`.*/\n updateKey?: Key;\n};\n\nexport type DomSyncerObject = {\n scene: THREE.Scene;\n camera: THREE.Camera;\n renderTarget: THREE.WebGLRenderTarget;\n output: THREE.Texture;\n /**\n * A function that returns a determination whether the DOM intersects or not.\n * The boolean will be updated after executing the onIntersect function.\n * @param index - Index of the dom for which you want to return an intersection decision. -1 will return the entire array.\n * @param once - If set to true, it will continue to return true once crossed.\n */\n isIntersecting: IsIntersecting;\n /** target's DOMRect[] */\n DOMRects: DOMRect[];\n /** target's intersetions boolean[] */\n intersections: boolean[];\n /** You can set callbacks for when at least one DOM is visible and when it is completely hidden. */\n useDomView: UseDomView;\n};\n\nexport const DOMSYNCER_PARAMS: DomSyncerParams = {\n texture: [],\n dom: [],\n boderRadius: [],\n rotation: [],\n onIntersect: [],\n};\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usedomsyncer\n * @param dependencies - When this dependency array is changed, the mesh and intersection judgment will be updated according to the passed DOM array.\n */\nexport const useDomSyncer = (\n { size, dpr, isSizeUpdate, renderTargetOptions, onBeforeInit }: HooksProps,\n dependencies: React.DependencyList = []\n): HooksReturn<DomSyncerParams, DomSyncerObject, CustomParams> => {\n const _dpr = getDpr(dpr);\n\n const scene = useMemo(() => new THREE.Scene(), []);\n const camera = useCamera(size);\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n isSizeUpdate,\n ...renderTargetOptions,\n });\n const [params, setParams] = useParams<DomSyncerParams>({\n ...DOMSYNCER_PARAMS,\n updateKey: performance.now(),\n });\n\n const [DOMRects, updateDomRects] = useUpdateDomRect();\n\n // Avoid instancing vec2 every frame\n const resolutionRef = useRef<THREE.Vector2>(new THREE.Vector2(0, 0));\n\n // Update monitored doms according to the dependency array\n const [refreshTrigger, setRefreshTrigger] = useState(true);\n useMemo(\n () => setRefreshTrigger(true),\n // eslint-disable-next-line react-hooks/exhaustive-deps\n dependencies\n );\n\n // If the dependencies have been updated but the key has not been updated, skip processing and return an empty texture\n const updateKey = useRef<Key | null>(null);\n const emptyTexture = useMemo(() => DEFAULT_TEXTURE, []);\n\n // set intersection\n const intersectionHandler = useIntersectionHandler();\n const { isIntersectingOnceRef, isIntersectingRef, isIntersecting } =\n useIsIntersecting();\n\n // create useDomView\n const useDomView = createUseDomView(isIntersectingRef);\n\n const updateParams = useMemo(() => {\n return (newParams?: DomSyncerParams, customParams?: CustomParams) => {\n setParams(newParams);\n updateDomRects({\n params,\n customParams,\n size,\n resolutionRef,\n scene,\n isIntersectingRef,\n });\n };\n }, [isIntersectingRef, setParams, updateDomRects, size, scene, params]);\n\n const updateFx = useCallback(\n (\n rootState: RootState,\n newParams?: DomSyncerParams,\n customParams?: CustomParams\n ) => {\n const { gl, size } = rootState;\n\n updateParams(newParams, customParams);\n\n if (errorHandler(params)) {\n return emptyTexture;\n }\n\n if (refreshTrigger) {\n if (updateKey.current === params.updateKey) {\n return emptyTexture;\n } else {\n updateKey.current = params.updateKey!;\n }\n }\n\n if (refreshTrigger) {\n createMesh({\n params,\n size,\n scene,\n onBeforeInit,\n });\n\n intersectionHandler({\n isIntersectingRef,\n isIntersectingOnceRef,\n params,\n });\n\n setRefreshTrigger(false);\n }\n\n return updateRenderTarget(gl);\n },\n [\n updateRenderTarget,\n intersectionHandler,\n onBeforeInit,\n updateParams,\n refreshTrigger,\n scene,\n params,\n isIntersectingOnceRef,\n isIntersectingRef,\n emptyTexture,\n ]\n );\n\n return [\n updateFx,\n updateParams,\n {\n scene,\n camera,\n renderTarget,\n output: renderTarget.texture,\n isIntersecting,\n DOMRects,\n intersections: isIntersectingRef.current,\n useDomView,\n },\n ];\n};\n","import * as THREE from \"three\";\nimport { useCallback, useEffect, useMemo, useRef } from \"react\";\nimport { useResolution } from \"../utils/useResolution\";\nimport {\n UseFboProps,\n renderFBO,\n FBO_DEFAULT_OPTION,\n} from \"../utils/useSingleFBO\";\n\ntype UpdateCopyFunction = (\n gl: THREE.WebGLRenderer,\n index: number,\n /** call before FBO is rendered */\n onBeforeRender?: ({ read }: { read: THREE.Texture }) => void\n) => THREE.Texture;\n\ntype UseCopyTextureReturn = [THREE.WebGLRenderTarget[], UpdateCopyFunction];\n\n/**\n * Generate an FBO array to copy the texture.\n * @param dpr If dpr is set, dpr will be multiplied, default : `false`\n * @param isSizeUpdate Whether to resize when resizing occurs. 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+{"version":3,"file":"use-shader-fx.umd.cjs","sources":["../src/utils/getDpr.ts","../src/utils/useResolution.ts","../src/utils/useCamera.ts","../src/utils/useSingleFBO.ts","../src/utils/useDoubleFBO.ts","../src/utils/useSetup.ts","../src/utils/useMutableState.ts","../src/libs/constants.ts","../src/utils/warn.ts","../src/materials/core/BasicFxLib.ts","../src/shaders/ShaderLib/plane_vertex.glsl","../src/shaders/ShaderLib/default_vertex.glsl","../src/shaders/ShaderLib/default_pars_vertex.glsl","../src/shaders/ShaderLib/default_pars_fragment.glsl","../src/shaders/ShaderLib/basicFx_vertex.glsl","../src/shaders/ShaderLib/basicFx_pars_vertex.glsl","../src/shaders/ShaderLib/basicFx_pars_fragment.glsl","../src/shaders/ShaderLib/basicFx_fragment_begin.glsl","../src/shaders/ShaderLib/basicFx_fragment_end.glsl","../src/shaders/ShaderLib/samplingFx_vertex.glsl","../src/shaders/ShaderLib/samplingFx_pars_vertex.glsl","../src/shaders/ShaderLib/samplingFx_pars_fragment.glsl","../src/shaders/ShaderLib.ts","../src/materials/impl/noise/noise.glsl.ts","../src/shaders/ShaderChunk/plane_vertex.glsl","../src/shaders/ShaderChunk/srcSystem_pars_vertex.glsl","../src/shaders/ShaderChunk/srcSystem_pars_fragment.glsl","../src/shaders/ShaderChunk/default_vertex.glsl","../src/shaders/ShaderChunk/default_pars_vertex.glsl","../src/shaders/ShaderChunk/default_pars_fragment.glsl","../src/shaders/ShaderChunk/mixSrc_pars_vertex.glsl","../src/shaders/ShaderChunk/mixSrc_vertex.glsl","../src/shaders/ShaderChunk/mixSrc_pars_fragment.glsl","../src/shaders/ShaderChunk/mixSrc_fragment_begin.glsl","../src/shaders/ShaderChunk/mixSrc_fragment_end.glsl","../src/shaders/ShaderChunk/mixDst_pars_vertex.glsl","../src/shaders/ShaderChunk/mixDst_vertex.glsl","../src/shaders/ShaderChunk/mixDst_pars_fragment.glsl","../src/shaders/ShaderChunk/mixDst_fragment.glsl","../src/shaders/ShaderChunk/texture_vertex.glsl","../src/shaders/ShaderChunk/texture_pars_vertex.glsl","../src/shaders/ShaderChunk/texture_pars_fragment.glsl","../src/shaders/ShaderChunk/adjustments_fragment.glsl","../src/shaders/ShaderChunk/adjustments_pars_fragment.glsl","../src/shaders/ShaderChunk/calcSrcUv.glsl","../src/shaders/ShaderChunk.ts","../src/shaders/shaderUtils.ts","../src/shaders/uniformsUtils.ts","../src/materials/core/FxMaterial.ts","../src/materials/core/BasicFxMaterial.ts","../src/materials/impl/noise/NoiseMaterial.ts","../src/materials/impl/fluid/shaders/vertex.ts","../src/materials/impl/fluid/shaders/advection.frag","../src/materials/impl/fluid/AdvectionMaterial.ts","../src/materials/impl/fluid/shaders/divergence.frag","../src/materials/impl/fluid/DivergenceMaterial.ts","../src/materials/impl/fluid/shaders/pressure.frag","../src/materials/impl/fluid/PressureMaterial.ts","../src/materials/impl/fluid/shaders/poisson.frag","../src/materials/impl/fluid/PoissonMaterial.ts","../src/materials/impl/fluid/shaders/splat.frag","../src/materials/impl/fluid/SplatMaterial.ts","../src/materials/impl/fluid/OutputMaterial.ts","../src/materials/impl/fluid/index.js","../src/materials/core/SamplingFxMaterial.ts","../src/materials/impl/buffer/BufferMaterial.ts","../src/materials/impl/rawBlank/RawBlankMaterial.ts","../src/materials/impl/blank/BlankMaterial.ts","../src/materials/impl/grid/grid.glsl.ts","../src/materials/impl/grid/GridMaterial.ts","../src/hooks/useNoise/index.ts","../src/hooks/useFluid/scenes/useAdvection.ts","../src/misc/usePointerTracker.ts","../src/hooks/useFluid/scenes/useSplat.ts","../src/hooks/useFluid/scenes/useDivergence.ts","../src/hooks/useFluid/scenes/usePoisson.ts","../src/hooks/useFluid/scenes/usePressure.ts","../src/hooks/useFluid/scenes/useOutput.ts","../src/hooks/useFluid/index.ts","../src/hooks/useBuffer/index.tsx","../src/hooks/useRawBlank/index.tsx","../src/hooks/useBlank/index.tsx","../src/hooks/useGrid/index.ts","../src/libs/Easings.ts","../src/misc/useBeat.ts","../src/misc/useWindowPointer.ts"],"sourcesContent":["import { Dpr } from \"../hooks/types\";\n\nexport const getDpr = (\n dpr: Dpr\n): { shader: number | false; fbo: number | false } => {\n if (typeof dpr === \"number\") {\n return { shader: dpr, fbo: dpr };\n }\n return {\n shader: dpr.shader ?? false,\n fbo: dpr.fbo ?? false,\n };\n};\n","import * as THREE from \"three\";\nimport { useState } from \"react\";\nimport { Size } from \"../hooks/types\";\n\n/**\n * @params dpr if dpr is set, it returns the resolution which is size multiplied by dpr.\n */\nexport const useResolution = (size: Size, dpr: number | false = false) => {\n const _width = dpr ? size.width * dpr : size.width;\n const _height = dpr ? size.height * dpr : size.height;\n\n const [resolution] = useState(() => new THREE.Vector2(_width, _height));\n resolution.set(_width, _height);\n\n return resolution;\n};\n","import * as THREE from \"three\";\nimport { useResolution } from \"./useResolution\";\nimport { useState } from \"react\";\nimport { Size } from \"../hooks/types\";\n\nconst getCameraProps = (width: number, height: number) => {\n const frustumSize = height;\n const aspect = width / height;\n const [w, h] = [(frustumSize * aspect) / 2, frustumSize / 2];\n return { width: w, height: h, near: -1000, far: 1000 };\n};\n\nexport const useCamera = (\n size: Size,\n cameraType: \"OrthographicCamera\" | \"PerspectiveCamera\" = \"OrthographicCamera\"\n) => {\n const resolution = useResolution(size);\n const { width, height, near, far } = getCameraProps(\n resolution.x,\n resolution.y\n );\n\n const [camera] = useState(() => {\n return cameraType === \"OrthographicCamera\"\n ? new THREE.OrthographicCamera(\n -width,\n width,\n height,\n -height,\n near,\n far\n )\n : new THREE.PerspectiveCamera(50, width / height);\n });\n\n if (camera instanceof THREE.OrthographicCamera) {\n camera.left = -width;\n camera.right = width;\n camera.top = height;\n camera.bottom = -height;\n camera.near = near;\n camera.far = far;\n camera.updateProjectionMatrix();\n } else if (camera instanceof THREE.PerspectiveCamera) {\n camera.aspect = width / height;\n camera.updateProjectionMatrix();\n }\n\n return camera;\n};\n","import * as THREE from \"three\";\nimport { useCallback, useEffect, useState } from \"react\";\nimport { useResolution } from \"./useResolution\";\nimport { Size } from \"../hooks/types\";\n\nexport const FBO_DEFAULT_OPTION: THREE.RenderTargetOptions = {\n depthBuffer: false,\n};\n\nexport type UseFboProps = {\n scene?: THREE.Scene;\n camera?: THREE.Camera;\n size: Size;\n /** If dpr is set, dpr will be multiplied, default : `false` */\n dpr?: number | false;\n /** Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default : `false` */\n fboAutoSetSize?: boolean;\n /** If set, the scene depth will be rendered into buffer.depthTexture. default : `false` */\n depth?: boolean;\n} & THREE.RenderTargetOptions;\n\nexport type RenderProps = {\n gl: THREE.WebGLRenderer;\n scene?: THREE.Scene;\n camera?: THREE.Camera;\n clear?: boolean;\n};\n\nexport const renderFBO = ({\n gl,\n fbo,\n scene,\n camera,\n clear = true,\n onBeforeRender,\n onSwap,\n}: {\n fbo: THREE.WebGLRenderTarget;\n onBeforeRender: () => void;\n onSwap?: () => void;\n} & RenderProps) => {\n if (!scene || !camera) return;\n const clearCache = gl.autoClear;\n gl.autoClear = clear;\n gl.setRenderTarget(fbo);\n onBeforeRender();\n gl.render(scene, camera);\n onSwap && onSwap();\n gl.setRenderTarget(null);\n gl.autoClear = clearCache;\n};\n\nexport type SingleFBOUpdateFunction = (\n renderProps: RenderProps,\n /** call before FBO is rendered */\n onBeforeRender?: ({ read }: { read: THREE.Texture }) => void\n) => THREE.Texture;\n\ntype UseSingleFBOReturn = [THREE.WebGLRenderTarget, SingleFBOUpdateFunction];\n\n/**\n * @param dpr If dpr is set, dpr will be multiplied, default:false\n * @param fboAutoSetSize Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default:false\n * @param depthBuffer Unlike the default in three.js, the default is `false`.\n * @returns [THREE.WebGLRenderTarget , updateFBO] -Receives the RenderTarget as the first argument and the update function as the second argument.\n */\nexport const useSingleFBO = (props: UseFboProps): UseSingleFBOReturn => {\n const {\n scene,\n camera,\n size,\n dpr = false,\n fboAutoSetSize = false,\n depth = false,\n ...renderTargetOptions\n } = props;\n\n const resolution = useResolution(size, dpr);\n\n const [renderTarget] = useState(() => {\n const target = new THREE.WebGLRenderTarget(resolution.x, resolution.y, {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n });\n if (depth) {\n target.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n }\n return target;\n });\n\n if (fboAutoSetSize) {\n renderTarget.setSize(resolution.x, resolution.y);\n }\n\n useEffect(() => {\n const temp = renderTarget;\n return () => {\n temp?.dispose();\n };\n }, [renderTarget]);\n\n const updateRenderTarget: SingleFBOUpdateFunction = useCallback(\n (renderProps, onBeforeRender) => {\n const fbo = renderTarget!;\n renderFBO({\n ...renderProps,\n scene: renderProps.scene || scene,\n camera: renderProps.camera || camera,\n fbo,\n onBeforeRender: () => onBeforeRender?.({ read: fbo.texture }),\n });\n return fbo.texture;\n },\n [scene, camera, renderTarget]\n );\n\n return [renderTarget, updateRenderTarget];\n};\n","import * as THREE from \"three\";\nimport { useCallback, useEffect, useState } from \"react\";\nimport {\n FBO_DEFAULT_OPTION,\n UseFboProps,\n renderFBO,\n RenderProps,\n} from \"./useSingleFBO\";\nimport { useResolution } from \"./useResolution\";\n\nexport type DoubleRenderTarget = {\n read: THREE.WebGLRenderTarget;\n write: THREE.WebGLRenderTarget;\n};\n\ninterface WebGLDoubleRenderTarget extends DoubleRenderTarget {\n swap: () => void;\n}\n\nexport type DoubleFBOUpdateFunction = (\n renderProps: RenderProps,\n /** call before FBO is rendered */\n onBeforeRender?: ({\n read,\n write,\n }: {\n read: THREE.Texture;\n write: THREE.Texture;\n }) => void\n) => THREE.Texture;\n\ntype UseDoubleFBOReturn = [\n { read: THREE.WebGLRenderTarget; write: THREE.WebGLRenderTarget },\n DoubleFBOUpdateFunction\n];\n\n/**\n * @description Custom hook for setting up double buffering with WebGL render targets.\n * @param UseFboProps same as `useSingleFBO`\n */\nexport const useDoubleFBO = (props: UseFboProps): UseDoubleFBOReturn => {\n const {\n scene,\n camera,\n size,\n dpr = false,\n fboAutoSetSize = false,\n depth = false,\n ...renderTargetOptions\n } = props;\n\n const resolution = useResolution(size, dpr);\n\n const [renderTarget] = useState<WebGLDoubleRenderTarget>(() => {\n const read = new THREE.WebGLRenderTarget(resolution.x, resolution.y, {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n });\n const write = new THREE.WebGLRenderTarget(resolution.x, resolution.y, {\n ...FBO_DEFAULT_OPTION,\n ...renderTargetOptions,\n });\n\n if (depth) {\n read.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n write.depthTexture = new THREE.DepthTexture(\n resolution.x,\n resolution.y,\n THREE.FloatType\n );\n }\n\n return {\n read: read,\n write: write,\n swap: function () {\n let temp = this.read;\n this.read = this.write;\n this.write = temp;\n },\n };\n });\n\n if (fboAutoSetSize) {\n renderTarget.read?.setSize(resolution.x, resolution.y);\n renderTarget.write?.setSize(resolution.x, resolution.y);\n }\n\n useEffect(() => {\n const temp = renderTarget;\n return () => {\n temp.read?.dispose();\n temp.write?.dispose();\n };\n }, [renderTarget]);\n\n const updateRenderTarget: DoubleFBOUpdateFunction = useCallback(\n (renderProps, onBeforeRender) => {\n const fbo = renderTarget;\n renderFBO({\n ...renderProps,\n scene: renderProps.scene || scene,\n camera: renderProps.camera || camera,\n fbo: fbo.write!,\n onBeforeRender: () =>\n onBeforeRender?.({\n read: fbo.read!.texture,\n write: fbo.write!.texture,\n }),\n onSwap: () => fbo.swap(),\n });\n return fbo.read?.texture as THREE.Texture;\n },\n [scene, camera, renderTarget]\n );\n\n return [\n { read: renderTarget.read, write: renderTarget.write },\n updateRenderTarget,\n ];\n};\n","import * as THREE from \"three\";\nimport { useEffect, useState } from \"react\";\nimport { Size } from \"../hooks/types\";\nimport { useResolution } from \"./useResolution\";\nimport { FxMaterial, FxMaterialProps } from \"../materials/core/FxMaterial\";\nimport { useCamera } from \"./useCamera\";\n\ntype Object3DConstructor<T, M extends THREE.Material> = new (\n geometry: THREE.BufferGeometry,\n material: M\n) => T;\n\ntype MaterialConstructor<M> = new (props: FxMaterialProps) => M;\n\ntype GeometryConstructor = new (\n width: number,\n height: number\n) => THREE.BufferGeometry;\n\n/**\n * Add geometry and material to Object3D and add them to scene.\n */\nconst useObject3D = <T extends THREE.Object3D, M extends THREE.Material>(\n scene: THREE.Scene | false,\n geometry: THREE.BufferGeometry,\n material: M,\n Proto: Object3DConstructor<T, M>\n) => {\n const [object3D] = useState(() => new Proto(geometry, material));\n\n useEffect(() => {\n scene && scene.add(object3D);\n return () => {\n scene && scene.remove(object3D);\n geometry.dispose();\n material.dispose();\n };\n }, [scene, geometry, material, object3D]);\n\n return object3D;\n};\n\nexport const useSetup = <M extends FxMaterial>({\n size,\n dpr,\n material,\n geometry = THREE.PlaneGeometry,\n geometrySize,\n ...materialProps\n}: {\n size: Size;\n dpr: number | false;\n material: MaterialConstructor<M>;\n geometry?: GeometryConstructor;\n geometrySize?: {\n width: number;\n height: number;\n };\n} & FxMaterialProps) => {\n // Mutable THREE objects should retain their values in useState\n // https://github.com/FunTechInc/use-shader-fx/issues/145\n const [scene] = useState(() => new THREE.Scene());\n const [_geometry] = useState(\n () => new geometry(geometrySize?.width || 2, geometrySize?.height || 2)\n );\n const [_material] = useState(() => new material(materialProps));\n\n // materialのresolutionはreactiveに更新する\n const resolution = useResolution(size, dpr);\n _material.updateResolution(resolution.x, resolution.y);\n\n useObject3D(scene, _geometry, _material, THREE.Mesh);\n\n const camera = useCamera(size);\n\n return {\n scene,\n material: _material,\n camera,\n };\n};\n","import { useCallback, useRef } from \"react\";\n\nexport const useMutableState = <S>(state: S) => {\n const ref = useRef(state);\n const setRef = useCallback((value: S | ((prevState: S) => S)) => {\n ref.current =\n typeof value === \"function\"\n ? (value as (prevState: S) => S)(ref.current)\n : value;\n }, []);\n\n return [ref, setRef] as const;\n};\n","import * as THREE from \"three\";\n\n// CDNとして使う場合、processがundefinedになるので、その場合はfalseを返す\nexport const ISDEV = (() => {\n try {\n return process.env.NODE_ENV === \"development\";\n } catch (error) {\n return false;\n }\n})();\n\nexport const MATERIAL_BASIC_PARAMS = {\n transparent: false,\n depthTest: false,\n depthWrite: false,\n};\n\nexport const DEFAULT_TEXTURE = new THREE.DataTexture(\n new Uint8Array([0, 0, 0, 0]),\n 1,\n 1,\n THREE.RGBAFormat\n);\n\nexport const APP_NAME = \"use-shader-fx\";\n\nexport const THREE_FLAG_PROPS = [\n \"isColor\",\n \"isMatrix3\",\n \"isMatrix4\",\n \"isVector2\",\n \"isVector3\",\n \"isVector4\",\n \"isTexture\",\n \"isQuaternion\",\n \"isWebGLRenderTarget\",\n \"isEuler\",\n \"isBufferGeometry\",\n \"isMaterial\",\n \"isCamera\",\n \"isLight\",\n \"isObject3D\",\n \"isBone\",\n \"isVideoTexture\",\n];\n","import { APP_NAME, ISDEV } from \"../libs/constants\";\n\nexport const warn = (text: string) => {\n if (ISDEV) {\n console.warn(`${APP_NAME}: ${text}`);\n }\n};\n","import * as THREE from \"three\";\nimport { DefaultUniforms } from \"./FxMaterial\";\nimport {\n NestUniformValues,\n UniformParentKey,\n} from \"../../shaders/uniformsUtils\";\nimport { DEFAULT_TEXTURE } from \"../../libs/constants\";\nimport type { Vec4Channel } from \"../../libs/types\";\n\n/*===============================================\ntypes\n===============================================*/\n/** 0:`fill` 1:`cover` 2:`contain` */\nexport type FitType = 0 | 1 | 2;\n\nexport type BasicFxUniformsUnique = {\n /*===============================================\n\tmixSrc\n\t===============================================*/\n mixSrc: { value: UniformParentKey };\n mixSrc_src: { value: THREE.Texture };\n mixSrc_fit: { value: FitType };\n // uv\n mixSrc_uv: { value: UniformParentKey };\n mixSrc_uv_ch: { value: Vec4Channel }; // mixSrcのどのchを使って、このfxのuvをノイズさせるか\n mixSrc_uv_factor: { value: number };\n mixSrc_uv_offset: { value: THREE.Vector2 };\n mixSrc_uv_radius: { value: number }; // 負の値は画面全体\n mixSrc_uv_position: { value: THREE.Vector2 };\n mixSrc_uv_range: { value: THREE.Vector2 };\n mixSrc_uv_mixMap: { value: UniformParentKey };\n mixSrc_uv_mixMap_src: { value: THREE.Texture };\n mixSrc_uv_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n\n // color\n mixSrc_color: { value: UniformParentKey };\n mixSrc_color_factor: { value: number };\n mixSrc_color_radius: { value: number }; // 負の値は画面全体\n mixSrc_color_position: { value: THREE.Vector2 };\n mixSrc_color_range: { value: THREE.Vector2 };\n mixSrc_color_mixMap: { value: UniformParentKey };\n mixSrc_color_mixMap_src: { value: THREE.Texture };\n mixSrc_color_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n\n // alpha\n mixSrc_alpha: { value: UniformParentKey };\n mixSrc_alpha_factor: { value: number };\n mixSrc_alpha_radius: { value: number }; // 負の値は画面全体\n mixSrc_alpha_position: { value: THREE.Vector2 };\n mixSrc_alpha_range: { value: THREE.Vector2 };\n mixSrc_alpha_mixMap: { value: UniformParentKey };\n mixSrc_alpha_mixMap_src: { value: THREE.Texture };\n mixSrc_alpha_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n\n /*===============================================\n\tmixDst\n\t===============================================*/\n mixDst: { value: UniformParentKey };\n mixDst_src: { value: THREE.Texture };\n mixDst_fit: { value: FitType };\n // uv\n mixDst_uv: { value: UniformParentKey };\n mixDst_uv_ch: { value: Vec4Channel }; // このfxのどのchを使ってmixDstのuvをノイズさせるか\n mixDst_uv_factor: { value: number };\n mixDst_uv_offset: { value: THREE.Vector2 };\n mixDst_uv_radius: { value: number }; // 負の値は画面全体\n mixDst_uv_position: { value: THREE.Vector2 };\n mixDst_uv_range: { value: THREE.Vector2 };\n mixDst_uv_mixMap: { value: UniformParentKey };\n mixDst_uv_mixMap_src: { value: THREE.Texture };\n mixDst_uv_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n // color\n mixDst_color: { value: UniformParentKey };\n mixDst_color_factor: { value: number };\n mixDst_color_radius: { value: number }; // 負の値は画面全体\n mixDst_color_position: { value: THREE.Vector2 };\n mixDst_color_range: { value: THREE.Vector2 };\n mixDst_color_mixMap: { value: UniformParentKey };\n mixDst_color_mixMap_src: { value: THREE.Texture };\n mixDst_color_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n // alpha\n mixDst_alpha: { value: UniformParentKey };\n mixDst_alpha_factor: { value: number };\n mixDst_alpha_radius: { value: number }; // 負の値は画面全体\n mixDst_alpha_position: { value: THREE.Vector2 };\n mixDst_alpha_range: { value: THREE.Vector2 };\n mixDst_alpha_mixMap: { value: UniformParentKey };\n mixDst_alpha_mixMap_src: { value: THREE.Texture };\n mixDst_alpha_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか\n\n /*===============================================\n\tadjustments\n\t===============================================*/\n // levels\n levels: { value: UniformParentKey };\n levels_shadows: { value: THREE.Vector4 };\n levels_midtones: { value: THREE.Vector4 };\n levels_highlights: { value: THREE.Vector4 };\n levels_outputMin: { value: THREE.Vector4 };\n levels_outputMax: { value: THREE.Vector4 };\n // contrast\n contrast: { value: UniformParentKey };\n contrast_factor: { value: THREE.Vector4 };\n // colorBalance\n colorBalance: { value: UniformParentKey };\n colorBalance_factor: { value: THREE.Vector3 };\n // hsv\n hsv: { value: UniformParentKey };\n hsv_hueShift: { value: number }; // 色相を +X 度分回転 (0.0~1.0 で0~360度)\n hsv_saturation: { value: number }; // 彩度乗算 (1.0で変化なし)\n hsv_brightness: { value: number }; // 明度乗算 (1.0で変化なし)\n // posterize\n posterize: { value: UniformParentKey };\n posterize_levels: { value: THREE.Vector4 };\n // grayscale\n grayscale: { value: UniformParentKey };\n grayscale_weight: { value: THREE.Vector3 };\n grayscale_duotone: { value: UniformParentKey };\n grayscale_duotone_color0: { value: THREE.Color };\n grayscale_duotone_color1: { value: THREE.Color };\n grayscale_threshold: { value: number }; // 0~1 負の値は処理をスキップする\n};\n\n// BasicFxValuesの型からfitScaleを排除する\ntype BasicFxUniformsFitScale = {\n mixSrc_fitScale: { value: THREE.Vector2 };\n mixDst_fitScale: { value: THREE.Vector2 };\n};\n\nexport type BasicFxUniforms = BasicFxUniformsUnique & DefaultUniforms;\n\nexport type BasicFxValues = NestUniformValues<BasicFxUniforms>;\n\nexport type FxKey = {\n srcSystem: boolean;\n mixSrc: boolean;\n mixDst: boolean;\n levels: boolean;\n contrast: boolean;\n colorBalance: boolean;\n hsv: boolean;\n posterize: boolean;\n grayscale: boolean;\n};\n\nexport type SrcSystemKey = \"mixSrc\" | \"mixDst\" | \"texture\";\n\n/*===============================================\nconstants\n===============================================*/\nexport const BASICFX_VALUES: BasicFxUniformsUnique & BasicFxUniformsFitScale = {\n /*===============================================\n\tmixSrc\n\t===============================================*/\n mixSrc: { value: false },\n mixSrc_src: { value: new THREE.Texture() },\n mixSrc_fit: { value: 0 },\n mixSrc_fitScale: { value: new THREE.Vector2(1, 1) },\n // uv\n mixSrc_uv: { value: false },\n mixSrc_uv_ch: { value: 0 },\n mixSrc_uv_factor: { value: 0 },\n mixSrc_uv_offset: { value: new THREE.Vector2(0, 0) },\n mixSrc_uv_radius: { value: 0.5 },\n mixSrc_uv_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixSrc_uv_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixSrc_uv_mixMap: { value: false },\n mixSrc_uv_mixMap_src: { value: DEFAULT_TEXTURE },\n mixSrc_uv_mixMap_ch: { value: 0 },\n\n // color\n mixSrc_color: { value: false },\n mixSrc_color_factor: { value: 0 },\n mixSrc_color_radius: { value: 0.5 },\n mixSrc_color_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixSrc_color_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixSrc_color_mixMap: { value: false },\n mixSrc_color_mixMap_src: { value: DEFAULT_TEXTURE },\n mixSrc_color_mixMap_ch: { value: 0 },\n\n // alpha\n mixSrc_alpha: { value: false },\n mixSrc_alpha_factor: { value: 0 },\n mixSrc_alpha_radius: { value: 0.5 },\n mixSrc_alpha_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixSrc_alpha_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixSrc_alpha_mixMap: { value: false },\n mixSrc_alpha_mixMap_src: { value: DEFAULT_TEXTURE },\n mixSrc_alpha_mixMap_ch: { value: 0 },\n\n /*===============================================\n\tmixDst\n\t===============================================*/\n mixDst: { value: false },\n mixDst_src: { value: new THREE.Texture() },\n mixDst_fit: { value: 0 },\n mixDst_fitScale: { value: new THREE.Vector2(1, 1) },\n\n // uv\n mixDst_uv: { value: false },\n mixDst_uv_ch: { value: 0 },\n mixDst_uv_factor: { value: 0 },\n mixDst_uv_offset: { value: new THREE.Vector2(0, 0) },\n mixDst_uv_radius: { value: 0.5 },\n mixDst_uv_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixDst_uv_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixDst_uv_mixMap: { value: false },\n mixDst_uv_mixMap_src: { value: DEFAULT_TEXTURE },\n mixDst_uv_mixMap_ch: { value: 0 },\n\n // color\n mixDst_color: { value: false },\n mixDst_color_factor: { value: 0 },\n mixDst_color_radius: { value: 0.5 },\n mixDst_color_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixDst_color_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixDst_color_mixMap: { value: false },\n mixDst_color_mixMap_src: { value: DEFAULT_TEXTURE },\n mixDst_color_mixMap_ch: { value: 0 },\n\n // alpha\n mixDst_alpha: { value: false },\n mixDst_alpha_factor: { value: 0 },\n mixDst_alpha_radius: { value: 0.5 },\n mixDst_alpha_position: { value: new THREE.Vector2(0.5, 0.5) },\n mixDst_alpha_range: { value: new THREE.Vector2(0.0, 1.0) },\n mixDst_alpha_mixMap: { value: false },\n mixDst_alpha_mixMap_src: { value: DEFAULT_TEXTURE },\n mixDst_alpha_mixMap_ch: { value: 0 },\n\n /*===============================================\n\tadjustments\n\t===============================================*/\n // levels\n levels: { value: false },\n levels_shadows: { value: new THREE.Vector4(0, 0, 0, 0) },\n levels_midtones: { value: new THREE.Vector4(1, 1, 1, 1) },\n levels_highlights: { value: new THREE.Vector4(1, 1, 1, 1) },\n levels_outputMin: { value: new THREE.Vector4(0, 0, 0, 0) },\n levels_outputMax: { value: new THREE.Vector4(1, 1, 1, 1) },\n // contrast\n contrast: { value: false },\n contrast_factor: { value: new THREE.Vector4(1, 1, 1, 1) },\n // colorBalance\n colorBalance: { value: false },\n colorBalance_factor: { value: new THREE.Vector3(1, 1, 1) },\n // hsv\n hsv: { value: false },\n hsv_hueShift: { value: 0 },\n hsv_saturation: { value: 1 },\n hsv_brightness: { value: 1 },\n // posterize\n posterize: { value: false },\n posterize_levels: { value: new THREE.Vector4(0, 0, 0, 0) },\n // grayscale\n grayscale: { value: false },\n grayscale_weight: { value: new THREE.Vector3(0, 0, 0) },\n grayscale_duotone: { value: false },\n grayscale_duotone_color0: { value: new THREE.Color(0x000000) },\n grayscale_duotone_color1: { value: new THREE.Color(0xffffff) },\n grayscale_threshold: { value: -1 },\n};\n\n/*===============================================\nfunctions\n===============================================*/\nexport function handleUpdateFxDefines(fxKey: FxKey): {\n [key: string]: any;\n} {\n const {\n mixSrc,\n mixDst,\n srcSystem,\n levels,\n contrast,\n colorBalance,\n hsv,\n posterize,\n grayscale,\n } = fxKey;\n return {\n USF_USE_SRC_SYSTEM: srcSystem,\n USF_USE_MIXSRC: mixSrc,\n USF_USE_MIXDST: mixDst,\n USF_USE_LEVELS: levels,\n USF_USE_CONTRAST: contrast,\n USF_USE_COLORBALANCE: colorBalance,\n USF_USE_HSV: hsv,\n USF_USE_POSTERIZE: posterize,\n USF_USE_GRAYSCALE: grayscale,\n };\n}\n\n/** setterで定義される場合もあるため、valuesではなくuniformsから判定する */\nexport function getFxKeyFromUniforms(uniforms: BasicFxUniformsUnique): FxKey {\n const isMixSrc = uniforms.mixSrc.value ? true : false;\n const isMixDst = uniforms.mixDst.value ? true : false;\n const isSrcSystem = isMixSrc || isMixDst;\n return {\n mixSrc: isMixSrc,\n mixDst: isMixDst,\n srcSystem: isSrcSystem,\n levels: uniforms.levels.value ? true : false,\n contrast: uniforms.contrast.value ? true : false,\n colorBalance: uniforms.colorBalance.value ? true : false,\n hsv: uniforms.hsv.value ? true : false,\n posterize: uniforms.posterize.value ? true : false,\n grayscale: uniforms.grayscale.value ? true : false,\n };\n}\n","#usf <plane_vertex>","#usf <default_vertex>","#usf <default_pars_vertex>","#usf <default_pars_fragment>","#usf <mixSrc_vertex>\n#usf <mixDst_vertex>","#usf <srcSystem_pars_vertex>\n#usf <mixSrc_pars_vertex>\n#usf <mixDst_pars_vertex>","#usf <mixSrc_pars_fragment>\n#usf <mixDst_pars_fragment>\n#usf <srcSystem_pars_fragment>\n#usf <adjustments_pars_fragment>","#usf <mixSrc_fragment_begin>","#usf <mixSrc_fragment_end>\n#usf <mixDst_fragment>\n#usf <adjustments_fragment>","#usf <texture_vertex>","#usf <texture_pars_vertex>","#usf <texture_pars_fragment>","import plane_vertex from \"./ShaderLib/plane_vertex.glsl\";\nimport default_vertex from \"./ShaderLib/default_vertex.glsl\";\nimport default_pars_vertex from \"./ShaderLib/default_pars_vertex.glsl\";\nimport default_pars_fragment from \"./ShaderLib/default_pars_fragment.glsl\";\nimport basicFx_vertex from \"./ShaderLib/basicFx_vertex.glsl\";\nimport basicFx_pars_vertex from \"./ShaderLib/basicFx_pars_vertex.glsl\";\nimport basicFx_pars_fragment from \"./ShaderLib/basicFx_pars_fragment.glsl\";\nimport basicFx_fragment_begin from \"./ShaderLib/basicFx_fragment_begin.glsl\";\nimport basicFx_fragment_end from \"./ShaderLib/basicFx_fragment_end.glsl\";\nimport samplingFx_vertex from \"./ShaderLib/samplingFx_vertex.glsl\";\nimport samplingFx_pars_vertex from \"./ShaderLib/samplingFx_pars_vertex.glsl\";\nimport samplingFx_pars_fragment from \"./ShaderLib/samplingFx_pars_fragment.glsl\";\n\nexport type ShaderLibTypes =\n | \"plane_vertex\"\n | \"default_vertex\"\n | \"default_pars_vertex\"\n | \"default_pars_fragment\"\n | \"basicFx_vertex\"\n | \"basicFx_pars_vertex\"\n | \"basicFx_pars_fragment\"\n | \"basicFx_fragment_begin\"\n | \"basicFx_fragment_end\"\n | \"samplingFx_vertex\"\n | \"samplingFx_pars_vertex\"\n | \"samplingFx_pars_fragment\";\n\nexport const ShaderLib: { [K in ShaderLibTypes]: string } = Object.freeze({\n plane_vertex,\n default_vertex,\n default_pars_vertex,\n default_pars_fragment,\n basicFx_vertex,\n basicFx_pars_vertex,\n basicFx_pars_fragment,\n basicFx_fragment_begin,\n basicFx_fragment_end,\n samplingFx_vertex,\n samplingFx_pars_vertex,\n samplingFx_pars_fragment,\n});\n","import { ShaderLib } from \"../../../shaders/ShaderLib\";\n\nexport const noiseVertex = `\n\tvoid main() {\n\t\t${ShaderLib.plane_vertex}\n\t}\n`;\n\nexport const noiseFragment = `\n\tprecision highp int;\n\n\tuniform float tick;\n\tuniform float timeStrength;\n\tuniform int noiseOctaves;\n\tuniform int fbmOctaves;\n\tuniform int warpOctaves;\n\tuniform vec2 warpDirection;\n\tuniform float warpStrength;\n\tuniform float scale;\n\tuniform float timeOffset;\n\n\tconst float per = 0.5;\n\tconst float PI = 3.14159265359;\n\n\tfloat rnd(vec2 n) {\n\t\tfloat a = 0.129898;\n\t\tfloat b = 0.78233;\n\t\tfloat c = 437.585453;\n\t\tfloat dt= dot(n ,vec2(a, b));\n\t\tfloat sn= mod(dt, PI);\n\t\treturn fract(sin(sn) * c);\n\t}\n\n\tfloat interpolate(float a, float b, float x){\n\t\tfloat f = (1.0 - cos(x * PI)) * 0.5;\n\t\treturn a * (1.0 - f) + b * f;\n\t}\n\n\tfloat irnd(vec2 p){\n\t\tvec2 i = floor(p);\n\t\tvec2 f = fract(p);\n\t\tvec4 v = vec4(rnd(vec2(i.x,i.y)),rnd(vec2(i.x + 1.0,i.y)),rnd(vec2(i.x,i.y + 1.0)),rnd(vec2(i.x + 1.0, i.y + 1.0)));\n\t\treturn interpolate(interpolate(v.x, v.y, f.x), interpolate(v.z, v.w, f.x), f.y);\n\t}\n\n\t// Based on The Book of Shaders\n\t// https://thebookofshaders.com/13/\n\tfloat noise(vec2 p, float time){\n\t\tfloat _time = time + timeOffset;\n\t\tfloat t = 0.0;\n\t\tfor(int i = 0; i < noiseOctaves; i++){\n\t\t\tfloat freq = pow(2.0, float(i));\n\t\t\tfloat amp = pow(per, float(noiseOctaves - i));\n\t\t\tt += irnd(vec2(p.y / freq + _time, p.x / freq + _time)) * amp;\n\t\t}\n\t\treturn t;\n\t}\n\n\tfloat fbm(vec2 x, float time) {\n\t\tfloat v = 0.0;\n\t\tfloat a = 0.5;\n\t\tvec2 shift = vec2(100);\n\t\tmat2 rot = mat2(cos(0.5), sin(0.5), -sin(0.5), cos(0.5));\n\t\tfloat sign = 1.0;\n\t\tfor (int i = 0; i < fbmOctaves; ++i) {\n\t\t\tv += a * noise(x, time * sign);\n\t\t\tx = rot * x * 2.0 + shift;\n\t\t\ta *= 0.5;\n\t\t\tsign *= -1.0;\n\t\t}\n\t\treturn v;\n\t}\n\n\tfloat warp(vec2 x, float g,float time){\n\t\tfloat val = 0.0;\n\t\tfor (int i = 0; i < warpOctaves; i++){\n\t\t\tval = fbm(x + g * vec2(cos(warpDirection.x * val), sin(warpDirection.y * val)), time);\n\t\t}\n\t\treturn val;\n\t}\n\n\tvoid main() {\n\n\t\tvec2 usf_Uv = gl_FragCoord.xy * scale;\n\n\t\t${ShaderLib.basicFx_fragment_begin}\n\n\t\tfloat noise = warp(usf_Uv ,warpStrength,tick * timeStrength);\n\n\t\tvec4 usf_FragColor = vec4(noise);\n\n\t\t${ShaderLib.basicFx_fragment_end}\n\n\t\tgl_FragColor = usf_FragColor;\n\n\t}\n`;\n","gl_Position = vec4(position, 1.0);","#ifdef USF_USE_SRC_SYSTEM\n\n\t#usf <calcSrcUv>\n\n#endif\n","#ifdef USF_USE_SRC_SYSTEM\n\n\t#usf <calcSrcUv>\n\n\tfloat calcMixCirclePower(vec2 center, float radius, vec2 range)\n\t{\n\t\tvec2 adjustedUV = (vUv - 0.5) * vec2(aspectRatio, 1.0) + 0.5;\n\t\tvec2 adjustedCenter = (center - 0.5) * vec2(aspectRatio, 1.0) + 0.5;\n\t\t\n\t\tfloat dist = length(adjustedUV - adjustedCenter);\n\t\tfloat power = radius > 0.0 ? 1.0 - dist / radius : 1.0;\n\t\treturn smoothstep(range.x,range.y,power);\n\t}\n\n\tfloat calcMixMapPower(sampler2D map,vec2 range, int ch)\n\t{\n\t\treturn smoothstep(range.x,range.y, texture2D(map, vUv)[ch]);\n\t}\n\n\tvec4 fitTexture(sampler2D src , vec2 uv, int fitType)\n\t{\n\t\t// fitTypeがcontainの場合だけ範囲外を透過する\n\t\tfloat a = fitType == 2 ? step(0.0, uv.x) * step(uv.x, 1.0) * step(0.0, uv.y) * step(uv.y, 1.0) : 1.;\n\t\treturn mix(vec4(0.), texture2D(src, uv), a);\n\t}\n\n#endif\n","vUv = uv;","precision highp float;\n\nvarying vec2 vUv;\nuniform vec2 resolution;\nuniform vec2 texelSize;\nuniform float aspectRatio;\nuniform vec2 maxAspect;","precision highp float;\n\nvarying vec2 vUv;\nuniform vec2 resolution;\nuniform vec2 texelSize;\nuniform float aspectRatio;\nuniform vec2 maxAspect;\nuniform int renderCount;","#ifdef USF_USE_MIXSRC\n\tvarying vec2 vMixSrcCoverUv;\n\tuniform vec2 mixSrc_fitScale;\n#endif","#ifdef USF_USE_MIXSRC\t\t\t\n\tvMixSrcCoverUv = calcSrcUv(vUv, mixSrc_fitScale);\t\n#endif","#ifdef USF_USE_MIXSRC\n\tvarying vec2 vMixSrcCoverUv;\n\tuniform sampler2D mixSrc_src;\n\tuniform int mixSrc_fit;\n\n\tuniform bool mixSrc_uv;\n\tuniform int mixSrc_uv_ch;\n\tuniform float mixSrc_uv_factor;\n\tuniform vec2 mixSrc_uv_offset;\n\tuniform float mixSrc_uv_radius;\n\tuniform vec2 mixSrc_uv_position;\n\tuniform vec2 mixSrc_uv_range;\n\tuniform bool mixSrc_uv_mixMap;\n\tuniform sampler2D mixSrc_uv_mixMap_src;\n\tuniform int mixSrc_uv_mixMap_ch;\n\n\tuniform bool mixSrc_color;\n\tuniform float mixSrc_color_factor;\n\tuniform float mixSrc_color_radius;\n\tuniform vec2 mixSrc_color_position;\n\tuniform vec2 mixSrc_color_range;\n\tuniform bool mixSrc_color_mixMap;\n\tuniform sampler2D mixSrc_color_mixMap_src;\n\tuniform int mixSrc_color_mixMap_ch;\n\n\tuniform bool mixSrc_alpha;\n\tuniform float mixSrc_alpha_factor;\n\tuniform float mixSrc_alpha_radius;\n\tuniform vec2 mixSrc_alpha_position;\n\tuniform vec2 mixSrc_alpha_range;\n\tuniform bool mixSrc_alpha_mixMap;\n\tuniform sampler2D mixSrc_alpha_mixMap_src;\n\tuniform int mixSrc_alpha_mixMap_ch;\n\n#endif","#ifdef USF_USE_MIXSRC\n\n\tvec4 mixSrcColor = fitTexture(mixSrc_src, vMixSrcCoverUv, mixSrc_fit);\n\n\tusf_Uv += mixSrc_uv \n\t\t? (mixSrc_uv_offset + (vec2(mixSrcColor[mixSrc_uv_ch]) * 2. - 1.)) * \n\t\t\t(mixSrc_uv_mixMap \n\t\t\t\t? calcMixMapPower(mixSrc_uv_mixMap_src,mixSrc_uv_range,mixSrc_uv_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixSrc_uv_position,mixSrc_uv_radius,mixSrc_uv_range)) * mixSrc_uv_factor\n\t\t: vec2(0.);\n\n#endif","#ifdef USF_USE_MIXSRC\n\t// color\n\tusf_FragColor = mixSrc_color \n\t\t? mix(usf_FragColor, mixSrcColor,\n\t\t\t(mixSrc_color_mixMap\n\t\t\t\t? calcMixMapPower(mixSrc_color_mixMap_src,mixSrc_color_range,mixSrc_color_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixSrc_color_position,mixSrc_color_radius,mixSrc_color_range)) * mixSrc_color_factor) \n\t\t: usf_FragColor;\n\t\n\t// alpha\n\tusf_FragColor = mixSrc_alpha \n\t\t? mix(usf_FragColor, mixSrcColor, \n\t\t\t(mixSrc_alpha_mixMap\n\t\t\t\t? calcMixMapPower(mixSrc_alpha_mixMap_src,mixSrc_alpha_range,mixSrc_alpha_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixSrc_alpha_position,mixSrc_alpha_radius,mixSrc_alpha_range)) * mixSrc_alpha_factor * mixSrcColor.a)\n\t\t: usf_FragColor;\n\n#endif","#ifdef USF_USE_MIXDST\n\tvarying vec2 vMixDstCoverUv;\n\tuniform vec2 mixDst_fitScale;\n#endif","#ifdef USF_USE_MIXDST\t\t\n\tvMixDstCoverUv = calcSrcUv(vUv, mixDst_fitScale);\t\n#endif","#ifdef USF_USE_MIXDST\n\n\tvarying vec2 vMixDstCoverUv;\n\tuniform sampler2D mixDst_src;\n\tuniform int mixDst_fit;\n\t\n\tuniform bool mixDst_uv;\n\tuniform int mixDst_uv_ch;\n\tuniform float mixDst_uv_factor;\n\tuniform vec2 mixDst_uv_offset;\n\tuniform float mixDst_uv_radius;\n\tuniform vec2 mixDst_uv_position;\n\tuniform vec2 mixDst_uv_range;\n\tuniform bool mixDst_uv_mixMap;\n\tuniform sampler2D mixDst_uv_mixMap_src;\n\tuniform int mixDst_uv_mixMap_ch;\n\n\tuniform bool mixDst_color;\n\tuniform float mixDst_color_factor;\n\tuniform float mixDst_color_radius;\n\tuniform vec2 mixDst_color_position;\n\tuniform vec2 mixDst_color_range;\n\tuniform bool mixDst_color_mixMap;\n\tuniform sampler2D mixDst_color_mixMap_src;\n\tuniform int mixDst_color_mixMap_ch;\n\n\tuniform bool mixDst_alpha;\n\tuniform float mixDst_alpha_factor;\n\tuniform float mixDst_alpha_radius;\n\tuniform vec2 mixDst_alpha_position;\n\tuniform vec2 mixDst_alpha_range;\n\tuniform bool mixDst_alpha_mixMap;\n\tuniform sampler2D mixDst_alpha_mixMap_src;\n\tuniform int mixDst_alpha_mixMap_ch;\n\n#endif","#ifdef USF_USE_MIXDST\n\n\t// uv\n\tvec2 mixedUv = vMixDstCoverUv;\n\tmixedUv += mixDst_uv \n\t\t? (mixDst_uv_offset + (vec2(usf_FragColor[mixDst_uv_ch]) * 2. - 1.)) * \n\t\t\t(mixDst_uv_mixMap \n\t\t\t\t? calcMixMapPower(mixDst_uv_mixMap_src,mixDst_uv_range,mixDst_uv_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixDst_uv_position,mixDst_uv_radius,mixDst_uv_range)) * mixDst_uv_factor\n\t\t: vec2(0.);\n\tvec4 mixDstColor = fitTexture(mixDst_src, mixedUv , mixDst_fit);\n\n\t// color\n\tusf_FragColor = mixDst_color \n\t\t? mix(usf_FragColor, mixDstColor,\n\t\t\t(mixDst_color_mixMap\n\t\t\t\t? calcMixMapPower(mixDst_color_mixMap_src,mixDst_color_range,mixDst_color_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixDst_color_position,mixDst_color_radius,mixDst_color_range)) * mixDst_color_factor) \n\t\t: usf_FragColor;\n\n\t// alpha\n\tusf_FragColor = mixDst_alpha \n\t\t? mix(usf_FragColor, mixDstColor, \n\t\t\t(mixDst_alpha_mixMap\n\t\t\t\t? calcMixMapPower(mixDst_alpha_mixMap_src,mixDst_alpha_range,mixDst_alpha_mixMap_ch)\n\t\t\t\t: calcMixCirclePower(mixDst_alpha_position,mixDst_alpha_radius,mixDst_alpha_range)) * mixDst_alpha_factor * mixDstColor.a)\n\t\t: usf_FragColor;\n\n#endif\n\n","#ifdef USF_USE_TEXTURE\t\t\n\tvTextureCoverUv = calcSrcUv(vUv, texture_fitScale);\n#endif","#ifdef USF_USE_TEXTURE\n\tvarying vec2 vTextureCoverUv;\n\tuniform vec2 texture_fitScale;\n#endif","#ifdef USF_USE_TEXTURE\t\n\tvarying vec2 vTextureCoverUv;\n\tuniform sampler2D texture_src;\n\tuniform int texture_fit;\n\tuniform vec2 texture_fitScale;\n#endif","#ifdef USF_USE_LEVELS\n\tusf_FragColor = (usf_FragColor - vec4(levels_shadows)) / (vec4(levels_highlights) - vec4(levels_shadows));\n\tusf_FragColor = pow(usf_FragColor, vec4(1.0 / levels_midtones));\n\tusf_FragColor = usf_FragColor * (vec4(levels_outputMax) - vec4(levels_outputMin)) + vec4(levels_outputMin);\n#endif\n\n#ifdef USF_USE_CONTRAST\n\tusf_FragColor = clamp(((usf_FragColor-.5)*contrast_factor)+.5, 0., 1.);\n#endif\n\n#ifdef USF_USE_COLORBALANCE\n\tusf_FragColor.rgb = clamp(usf_FragColor.rgb * colorBalance_factor, 0., 1.);\n#endif\n\n#ifdef USF_USE_HSV\n\tvec3 hsv = rgb2hsv(usf_FragColor.rgb);\n\thsv.x = fract(hsv.x + hsv_hueShift);\n\thsv.y = clamp(hsv.y * hsv_saturation, 0.0, 1.0);\n\thsv.z = clamp(hsv.z * hsv_brightness, 0.0, 1.0);\n\tusf_FragColor.rgb = hsv2rgb(hsv);\n#endif\n\n#ifdef USF_USE_POSTERIZE\n\tusf_FragColor = posterize(usf_FragColor, posterize_levels);\n#endif\n\n#ifdef USF_USE_GRAYSCALE\n\tfloat grayscale = dot(usf_FragColor.rgb, vec3(0.299 + grayscale_weight.r, 0.587 + grayscale_weight.g, 0.114 + grayscale_weight.b));\n\tgrayscale = grayscale_threshold > 0.0 ? step(grayscale_threshold, grayscale) : grayscale;\n\tvec3 duotoneColor = mix(grayscale_duotone_color0, grayscale_duotone_color1, grayscale);\n\tusf_FragColor.rgb = grayscale_duotone ? duotoneColor : vec3(grayscale);\n#endif\n","#ifdef USF_USE_LEVELS\n\tuniform vec4 levels_shadows;\n\tuniform vec4 levels_midtones;\n\tuniform vec4 levels_highlights;\n\tuniform vec4 levels_outputMin;\n\tuniform vec4 levels_outputMax;\n#endif\n\n#ifdef USF_USE_CONTRAST\n\tuniform vec4 contrast_factor;\n#endif\n\n#ifdef USF_USE_COLORBALANCE\n\tuniform vec3 colorBalance_factor;\n#endif\n\n#ifdef USF_USE_HSV\n\tuniform float hsv_hueShift;\n\tuniform float hsv_saturation;\n\tuniform float hsv_brightness;\n\tvec3 hsv2rgb(vec3 c)\n\t{\n\t\tvec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0);\n\t\tvec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www);\n\t\treturn c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y);\n\t}\n\tvec3 rgb2hsv(vec3 c)\n\t{\n\t\tvec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0);\n\t\tvec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, K.xy), step(c.b, c.g));\n\t\tvec4 q = mix(vec4(p.xyw, c.r), vec4(c.r, p.yzx), step(p.x, c.r));\n\n\t\tfloat d = q.x - min(q.w, q.y);\n\t\tfloat e = 1.0e-10;\n\t\treturn vec3(abs(q.z + (q.w - q.y) / (6.0 * d + e)), d / (q.x + e), q.x);\n\t}\n#endif\n\n#ifdef USF_USE_POSTERIZE\n\tuniform vec4 posterize_levels;\n\tvec4 posterize(vec4 color, vec4 levels) \n\t{\n\t\treturn vec4(\n\t\t\tlevels.x > 1. ? floor(color.r * levels.x) / levels.x : color.r,\n\t\t\tlevels.y > 1. ? floor(color.g * levels.y) / levels.y : color.g,\n\t\t\tlevels.z > 1. ? floor(color.b * levels.z) / levels.z : color.b,\n\t\t\tlevels.w > 1. ? floor(color.a * levels.w) / levels.w : color.a\n\t\t);\n\t}\n#endif\n\n#ifdef USF_USE_GRAYSCALE\n\tuniform vec3 grayscale_weight;\n\tuniform bool grayscale_duotone;\n\tuniform vec3 grayscale_duotone_color0;\n\tuniform vec3 grayscale_duotone_color1;\n\tuniform float grayscale_threshold;\n#endif","vec2 calcSrcUv(vec2 uv, vec2 fitScale) {\n\treturn uv * fitScale + (1.0 - fitScale) * .5;\n}","import plane_vertex from \"./ShaderChunk/plane_vertex.glsl\";\nimport srcSystem_pars_vertex from \"./ShaderChunk/srcSystem_pars_vertex.glsl\";\nimport srcSystem_pars_fragment from \"./ShaderChunk/srcSystem_pars_fragment.glsl\";\nimport default_vertex from \"./ShaderChunk/default_vertex.glsl\";\nimport default_pars_vertex from \"./ShaderChunk/default_pars_vertex.glsl\";\nimport default_pars_fragment from \"./ShaderChunk/default_pars_fragment.glsl\";\nimport mixSrc_pars_vertex from \"./ShaderChunk/mixSrc_pars_vertex.glsl\";\nimport mixSrc_vertex from \"./ShaderChunk/mixSrc_vertex.glsl\";\nimport mixSrc_pars_fragment from \"./ShaderChunk/mixSrc_pars_fragment.glsl\";\nimport mixSrc_fragment_begin from \"./ShaderChunk/mixSrc_fragment_begin.glsl\";\nimport mixSrc_fragment_end from \"./ShaderChunk/mixSrc_fragment_end.glsl\";\nimport mixDst_pars_vertex from \"./ShaderChunk/mixDst_pars_vertex.glsl\";\nimport mixDst_vertex from \"./ShaderChunk/mixDst_vertex.glsl\";\nimport mixDst_pars_fragment from \"./ShaderChunk/mixDst_pars_fragment.glsl\";\nimport mixDst_fragment from \"./ShaderChunk/mixDst_fragment.glsl\";\nimport texture_vertex from \"./ShaderChunk/texture_vertex.glsl\";\nimport texture_pars_vertex from \"./ShaderChunk/texture_pars_vertex.glsl\";\nimport texture_pars_fragment from \"./ShaderChunk/texture_pars_fragment.glsl\";\nimport adjustments_fragment from \"./ShaderChunk/adjustments_fragment.glsl\";\nimport adjustments_pars_fragment from \"./ShaderChunk/adjustments_pars_fragment.glsl\";\nimport calcSrcUv from \"./ShaderChunk/calcSrcUv.glsl\";\n\nexport type ShaderChunkTypes =\n | \"default_pars_fragment\"\n | \"srcSystem_pars_vertex\"\n | \"srcSystem_pars_fragment\"\n | \"default_pars_vertex\"\n | \"default_vertex\"\n | \"plane_vertex\"\n | \"mixSrc_fragment_begin\"\n | \"mixSrc_fragment_end\"\n | \"mixSrc_pars_fragment\"\n | \"mixSrc_pars_vertex\"\n | \"mixSrc_vertex\"\n | \"mixDst_fragment\"\n | \"mixDst_pars_fragment\"\n | \"mixDst_pars_vertex\"\n | \"mixDst_vertex\"\n | \"texture_pars_fragment\"\n | \"texture_pars_vertex\"\n | \"texture_vertex\"\n | \"adjustments_fragment\"\n | \"adjustments_pars_fragment\"\n | \"calcSrcUv\";\n\nexport const ShaderChunk: { [K in ShaderChunkTypes]: string } = Object.freeze({\n plane_vertex,\n srcSystem_pars_vertex,\n srcSystem_pars_fragment,\n default_vertex,\n default_pars_vertex,\n default_pars_fragment,\n mixSrc_vertex,\n mixSrc_pars_vertex,\n mixSrc_pars_fragment,\n mixSrc_fragment_begin,\n mixSrc_fragment_end,\n mixDst_pars_vertex,\n mixDst_vertex,\n mixDst_pars_fragment,\n mixDst_fragment,\n texture_vertex,\n texture_pars_vertex,\n texture_pars_fragment,\n adjustments_fragment,\n adjustments_pars_fragment,\n calcSrcUv,\n});\n","import { ShaderLib } from \"./ShaderLib\";\nimport { ShaderChunk, ShaderChunkTypes } from \"./ShaderChunk\";\n\n/** merge shader codes */\nexport function mergeShaderCode(prefix: string[]): string {\n return prefix.filter((string) => string !== \"\").join(\"\\n\");\n}\n\n/*===============================================\nMEMO\n- SamplingFxMaterialをさらに拡張する場合（例えばuseTextureTransitionとかで、複数のtextureのfitScaleが必要な場合）、ここでShaderLibTypeを追加する。\n===============================================*/\n\nexport type ShaderLibType = \"default\" | \"basicFx\" | \"samplingFx\";\n/**\n * merge ShaderLib to shader\n * basicFx_fragment_begin, basicFx_fragment_endは含まない。これらは各FXでカスタマイズする必要があるため。\n */\nexport function mergeShaderLib(\n vertexShader: string | undefined,\n fragmentShader: string | undefined,\n type: ShaderLibType\n): [string | undefined, string | undefined] {\n let vertex,\n fragment = undefined;\n\n const ShaderLibs = {\n default: {\n vertexPars: ShaderLib.default_pars_vertex,\n vertexMain: ShaderLib.default_vertex,\n fragmentPars: ShaderLib.default_pars_fragment,\n },\n basicFx: {\n vertexPars: ShaderLib.basicFx_pars_vertex,\n vertexMain: ShaderLib.basicFx_vertex,\n fragmentPars: ShaderLib.basicFx_pars_fragment,\n },\n samplingFx: {\n vertexPars: mergeShaderCode([\n ShaderLib.basicFx_pars_vertex,\n ShaderLib.samplingFx_pars_vertex,\n ]),\n vertexMain: mergeShaderCode([\n ShaderLib.basicFx_vertex,\n ShaderLib.samplingFx_vertex,\n ]),\n fragmentPars: mergeShaderCode([\n ShaderLib.basicFx_pars_fragment,\n ShaderLib.samplingFx_pars_fragment,\n ]),\n },\n };\n\n const vertexPars = ShaderLibs[type].vertexPars;\n const vertexMain = ShaderLibs[type].vertexMain;\n const fragmentPars = ShaderLibs[type].fragmentPars;\n\n if (vertexShader) {\n vertex = mergeShaderCode([vertexPars, vertexShader]);\n vertex = vertex.replace(\n /void\\s+main\\s*\\(\\)\\s*\\{/,\n `void main() {\\n${vertexMain}`\n );\n }\n\n if (fragmentShader) {\n fragment = mergeShaderCode([fragmentPars, fragmentShader]);\n }\n\n return [vertex, fragment];\n}\n\nconst includePattern = /^[ \\t]*#usf +<([\\w\\d./]+)>/gm;\nfunction includeReplacer(match: string, include: ShaderChunkTypes): string {\n return resolveIncludes(ShaderChunk[include] || \"\");\n}\n/** Resolve Includes */\nexport function resolveIncludes(string: string): string {\n return string.replace(includePattern, includeReplacer);\n}\n","import * as THREE from \"three\";\nimport { warn } from \"../utils\";\nimport { THREE_FLAG_PROPS } from \"../libs/constants\";\n\nexport type Uniforms = { [uniform: string]: THREE.IUniform<any> };\n\n/** typescriptトリックで{}を許容しているが、実際にuniformに渡る際にはbooleanのみ */\nexport type UniformParentKey = boolean | {};\n\nexport type ShaderWithUniforms = {\n uniforms?: Uniforms;\n vertexShader?: string;\n fragmentShader?: string;\n};\n\n/**\n * test:{value:number} => test:number\n * materialのprops型を定義する\n * materialにはuniformsのsetter/getterが定義されている.その型推論のため.\n */\nexport type ExtractUniformValues<T> = {\n [K in keyof T]?: T[K] extends { value: infer U } ? U : never;\n};\n\n/**\n * test_test:{value:number} => { test: { test: number | (value:number)=>number } }\n */\ntype Nest<K extends string, V> = K extends `${infer First}_${infer Rest}`\n ? { [P in First]?: Nest<Rest, V> }\n : { [P in K]?: V | ((value: V) => V) };\n\ntype UnionToIntersection<U> = (U extends any ? (k: U) => void : never) extends (\n k: infer I\n) => void\n ? I\n : never;\nexport type NestUniformValues<U extends Uniforms> = UnionToIntersection<\n { [K in keyof U]: Nest<Extract<K, string>, U[K][\"value\"]> }[keyof U]\n>;\n\n/**\n * Determines whether the given property is a three.js object by checking for the presence\n * of known boolean flag properties (e.g., `isTexture`, `isVector2`, etc.) that are typically\n * set to true on three.js instances.\n */\nfunction isTHREE(property: any) {\n return property && THREE_FLAG_PROPS.some((prop) => property[prop] === true);\n}\n\n/**\n * {test:{test:1}} => {test_test:1} に変換する\n * この時、条件分岐用uniform値として親のkey{test:true}を追加する\n */\nexport function flattenUniformValues(\n obj: Record<string, any>\n): Record<string, any> {\n const flatObject: Record<string, any> = {};\n\n const flatten = (currentObj: any, parentKey = \"\"): void => {\n for (const [key, val] of Object.entries(currentObj)) {\n const newKey = parentKey ? `${parentKey}_${key}` : key;\n if (\n val &&\n typeof val === \"object\" &&\n !Array.isArray(val) &&\n !isTHREE(val)\n ) {\n (flatObject[newKey] as UniformParentKey) = true; // 親のkey{test:true}を追加する\n flatten(val, newKey);\n } else {\n if (flatObject.hasOwnProperty(newKey)) {\n warn(`${newKey} already exists and will be overwritten.`);\n }\n flatObject[newKey] = val;\n }\n }\n };\n\n flatten(obj);\n return flatObject;\n}\n","import * as THREE from \"three\";\nimport { resolveIncludes, mergeShaderLib } from \"../../shaders/shaderUtils\";\nimport {\n flattenUniformValues,\n ShaderWithUniforms,\n} from \"../../shaders/uniformsUtils\";\nimport { warn } from \"../../utils\";\n\nexport type DefaultUniforms = {\n resolution: { value: THREE.Vector2 };\n texelSize: { value: THREE.Vector2 };\n aspectRatio: { value: number };\n maxAspect: { value: THREE.Vector2 };\n renderCount: { value: number };\n};\n\nexport type FxMaterialProps<T = {}> = {\n uniformValues?: T;\n materialParameters?: THREE.ShaderMaterialParameters;\n customParameters?: { [key: string]: any };\n} & ShaderWithUniforms;\n\nexport class FxMaterial extends THREE.ShaderMaterial {\n public static readonly key: string = THREE.MathUtils.generateUUID();\n\n constructor({\n uniformValues,\n materialParameters = {},\n uniforms,\n vertexShader,\n fragmentShader,\n }: FxMaterialProps = {}) {\n super(materialParameters);\n\n this.uniforms = {\n resolution: { value: new THREE.Vector2() },\n texelSize: { value: new THREE.Vector2() },\n aspectRatio: { value: 0 },\n maxAspect: { value: new THREE.Vector2() },\n // 一部のFXでiterationをカウントする必要があるため\n renderCount: { value: 0 },\n ...uniforms,\n } as DefaultUniforms;\n\n this._setupShaders(vertexShader, fragmentShader);\n\n this.setUniformValues(uniformValues);\n\n this._defineUniformAccessors();\n }\n\n /** This is updated in useFxScene */\n public updateResolution(width: number, height: number) {\n const maxAspect = Math.max(width, height);\n this.uniforms.resolution.value.set(width, height);\n this.uniforms.texelSize.value.set(1 / width, 1 / height);\n this.uniforms.aspectRatio.value = width / height;\n this.uniforms.maxAspect.value.set(maxAspect / width, maxAspect / height);\n }\n\n protected _setupShaders(vertexShader?: string, fragmentShader?: string) {\n if (!vertexShader && !fragmentShader) return;\n\n const [vertex, fragment] = mergeShaderLib(\n vertexShader,\n fragmentShader,\n \"default\"\n );\n this.vertexShader = vertex ? resolveIncludes(vertex) : this.vertexShader;\n this.fragmentShader = fragment\n ? resolveIncludes(fragment)\n : this.fragmentShader;\n }\n\n public setUniformValues(values?: { [key: string]: any }) {\n if (values === undefined) return;\n const flattenedValues = flattenUniformValues(values);\n\n for (const [key, value] of Object.entries(flattenedValues)) {\n if (value === undefined) {\n warn(`parameter '${key}' has value of undefined.`);\n continue;\n }\n\n const curretUniform = this.uniforms[key];\n\n if (curretUniform === undefined) {\n warn(`'${key}' is not a uniform property of ${this.type}.`);\n continue;\n }\n\n curretUniform.value =\n typeof value === \"function\" ? value(curretUniform.value) : value;\n }\n\n return flattenedValues;\n }\n\n /** define getter/setters　*/\n protected _defineUniformAccessors(onSet?: () => void) {\n for (const key of Object.keys(this.uniforms)) {\n if (this.hasOwnProperty(key)) {\n warn(`'${key}' is already defined in ${this.type}.`);\n continue;\n }\n Object.defineProperty(this, key, {\n get: () => this.uniforms[key].value,\n set: (v) => {\n this.uniforms[key].value = v;\n onSet?.();\n },\n });\n }\n }\n}\n","import * as THREE from \"three\";\nimport { FxMaterial, FxMaterialProps } from \"./FxMaterial\";\nimport { mergeShaderLib } from \"../../shaders/shaderUtils\";\nimport * as BasicFxLib from \"./BasicFxLib\";\n\nexport class BasicFxMaterial extends FxMaterial {\n fxKey: BasicFxLib.FxKey;\n\n uniforms!: BasicFxLib.BasicFxUniforms;\n programCache: number;\n\n constructor({\n uniforms,\n vertexShader,\n fragmentShader,\n ...rest\n }: FxMaterialProps<BasicFxLib.BasicFxValues> = {}) {\n super({\n ...rest,\n uniforms: {\n ...THREE.UniformsUtils.clone(BasicFxLib.BASICFX_VALUES),\n ...uniforms,\n },\n });\n\n this.defines = {\n ...rest?.materialParameters?.defines,\n };\n\n this.programCache = 0;\n\n this.fxKey = this._setupFxKey(this.uniforms);\n\n this._setupFxShaders(vertexShader, fragmentShader);\n }\n\n private _setupFxShaders(vertexShader?: string, fragmentShader?: string) {\n if (!vertexShader && !fragmentShader) return;\n\n this._updateFxDefines();\n\n const [vertex, fragment] = this._handleMergeShaderLib(\n vertexShader,\n fragmentShader\n );\n\n super._setupShaders(vertex, fragment);\n }\n\n /** SamplingFxMaterialで継承するため、handlerとして独立させる */\n protected _handleMergeShaderLib(\n vertexShader?: string,\n fragmentShader?: string\n ) {\n return mergeShaderLib(vertexShader, fragmentShader, \"basicFx\");\n }\n\n private _updateFxShaders() {\n // FxMaterialの初期化時にsetUniformValuesが呼ばれるが、isContainsBasicFxValuesがtrueを返すと、このメソッドが実行されてしまう。BasicFxMaterialの初期化前にはこの処理をスキップする。\n if (!this.fxKey) return;\n\n const _cache = this.programCache;\n\n const { diffCount, newFxKey } = this._handleUpdateFxShaders();\n\n this.programCache += diffCount;\n this.fxKey = newFxKey;\n\n if (_cache !== this.programCache) {\n this._updateFxDefines();\n this.needsUpdate = true;\n }\n }\n\n /** SamplingFxMaterialで継承するため、handlerとして独立させる */\n protected _handleUpdateFxShaders(): {\n diffCount: number;\n newFxKey: BasicFxLib.FxKey;\n } {\n const newFxKey = BasicFxLib.getFxKeyFromUniforms(this.uniforms);\n const diffCount = (\n Object.keys(newFxKey) as (keyof BasicFxLib.FxKey)[]\n ).filter((key) => this.fxKey[key] !== newFxKey[key]).length;\n return {\n diffCount,\n newFxKey,\n };\n }\n\n private _updateFxDefines() {\n Object.assign(this.defines, this._handleUpdateFxDefines());\n }\n\n /** SamplingFxMaterialで継承するため、handlerとして独立させる */\n protected _handleUpdateFxDefines(): {\n [key: string]: any;\n } {\n return BasicFxLib.handleUpdateFxDefines(this.fxKey);\n }\n\n protected _isContainsBasicFxValues(\n target?: { [key: string]: any },\n source?: { [key: string]: any }\n ): boolean {\n if (!target) return false;\n return Object.keys(target).some((key) =>\n Object.keys(source ?? BasicFxLib.BASICFX_VALUES).includes(key)\n );\n }\n\n protected _setupFxKey(\n uniforms: BasicFxLib.BasicFxUniforms\n ): BasicFxLib.FxKey {\n return BasicFxLib.getFxKeyFromUniforms(uniforms);\n }\n\n /*===============================================\n\tFit Scale\n\t===============================================*/\n private _calcFitScale(\n src: THREE.Texture,\n fitType: BasicFxLib.FitType\n ): THREE.Vector2 {\n let srcAspectRatio = 1;\n const fitScale = new THREE.Vector2(1, 1);\n const baseAspectRatio = this.uniforms.aspectRatio.value;\n\n const sourceData = src?.source?.data;\n\n if (sourceData?.width && sourceData?.height) {\n srcAspectRatio = sourceData.width / sourceData.height;\n } else {\n srcAspectRatio = baseAspectRatio;\n }\n\n if (fitType === 1) {\n fitScale.set(\n Math.min(baseAspectRatio / srcAspectRatio, 1),\n Math.min(srcAspectRatio / baseAspectRatio, 1)\n );\n } else if (fitType === 2) {\n fitScale.set(\n Math.max(baseAspectRatio / srcAspectRatio, 1),\n Math.max(srcAspectRatio / baseAspectRatio, 1)\n );\n }\n\n return fitScale;\n }\n\n protected _setFitScale(key: BasicFxLib.SrcSystemKey) {\n const uniforms = this.uniforms as any;\n uniforms[`${key}_fitScale`].value = this._calcFitScale(\n uniforms[`${key}_src`].value,\n uniforms[`${key}_fit`].value\n );\n }\n\n protected _updateFitScale() {\n if (this.fxKey?.mixSrc) this._setFitScale(\"mixSrc\");\n if (this.fxKey?.mixDst) this._setFitScale(\"mixDst\");\n }\n\n /*===============================================\n\tsuper FxMaterial\n\t===============================================*/\n /**\n * @param needsUpdate default : `true`\n */\n public setUniformValues(\n values?: { [key: string]: any },\n needsUpdate: boolean = true\n ) {\n const flattenedValues = super.setUniformValues(values);\n if (needsUpdate && this._isContainsBasicFxValues(flattenedValues)) {\n this._updateFxShaders();\n this._updateFitScale();\n }\n return flattenedValues;\n }\n\n protected _defineUniformAccessors(onSet?: () => void) {\n super._defineUniformAccessors(() => {\n this._updateFxShaders();\n this._updateFitScale();\n onSet?.();\n });\n }\n\n public updateResolution(width: number, height: number): void {\n super.updateResolution(width, height);\n this._updateFitScale();\n }\n}\n","import * as THREE from \"three\";\nimport { noiseFragment, noiseVertex } from \"./noise.glsl\";\nimport { BasicFxMaterial } from \"../../core/BasicFxMaterial\";\nimport { FxMaterialProps } from \"../../core/FxMaterial\";\nimport { BasicFxUniforms, BasicFxValues } from \"../../core/BasicFxLib\";\nimport {\n ExtractUniformValues,\n NestUniformValues,\n} from \"../../../shaders/uniformsUtils\";\n\ntype NoiseUniforms = {\n /** useBeatを渡せば、リズムを変えられる。 */\n tick: { value: number };\n /** noise scale , default : `0.004` */\n scale: { value: number };\n /** time factor default : `0.3` */\n timeStrength: { value: number };\n /** noiseOctaves, affects performance default : `2` */\n noiseOctaves: { value: number };\n /** fbmOctaves, affects performance default : `2` */\n fbmOctaves: { value: number };\n /** domain warping octaves , affects performance default : `2` */\n warpOctaves: { value: number };\n /** direction of domain warping , default : `(2.0,2,0)` */\n warpDirection: { value: THREE.Vector2 };\n /** strength of domain warping , default : `8.0` */\n warpStrength: { value: number };\n /** offset of the time */\n timeOffset: { value: number };\n} & BasicFxUniforms;\n\nexport type NoiseValues = NestUniformValues<NoiseUniforms> & BasicFxValues;\n\nexport type NoiseMaterialProps = ExtractUniformValues<NoiseUniforms>;\n\nexport class NoiseMaterial extends BasicFxMaterial {\n public static readonly key: string = THREE.MathUtils.generateUUID();\n\n static get type() {\n return \"NoiseMaterial\";\n }\n\n uniforms!: NoiseUniforms;\n\n constructor(props: FxMaterialProps<NoiseValues> = {}) {\n super({\n ...props,\n vertexShader: noiseVertex,\n fragmentShader: noiseFragment,\n uniforms: {\n tick: { value: 0.0 },\n scale: { value: 0.03 },\n timeStrength: { value: 0.3 },\n noiseOctaves: { value: 2 },\n fbmOctaves: { value: 2 },\n warpOctaves: { value: 2 },\n warpDirection: { value: new THREE.Vector2(2.0, 2.0) },\n warpStrength: { value: 8 },\n timeOffset: { value: 0 },\n } as NoiseUniforms,\n });\n this.type = NoiseMaterial.type;\n }\n}\n","const boxVarying = `\n\tuniform bool bounce;\n\tvarying vec2 vL;\n\tvarying vec2 vR;\n\tvarying vec2 vT;\n\tvarying vec2 vB;\n`;\n\nconst getPosition = (bounce: boolean = true) => {\n return `\n\t\tvec3 pos = position;\n\t\tvec2 scale = ${\n bounce ? \"bounce ? vec2(1.,1.) : 1.-texelSize*2.\" : \"1.-texelSize*2.\"\n };\n\t\tpos.xy = pos.xy * scale;\n\t\tvUv = vec2(.5)+(pos.xy)*.5;\n\t`;\n};\n\nconst getBoxCompute = (diff: string) => {\n return `\n\t\tvL = vUv - vec2(texelSize.x * ${diff}, 0.0);\n\t\tvR = vUv + vec2(texelSize.x * ${diff}, 0.0);\n\t\tvT = vUv + vec2(0.0, texelSize.y * ${diff});\n\t\tvB = vUv - vec2(0.0, texelSize.y * ${diff});\n\t`;\n};\n\nconst vertex = {\n main: `\n\t\t${boxVarying}\n\n\t\tvoid main(){\n\t\t\n\t\t\t${getPosition()}\n\t\t\t${getBoxCompute(\"1.\")}\n\n\t\t\tgl_Position = vec4(pos, 1.0);\n\t\t}\n\t`,\n poisson: `\n\t\t${boxVarying}\n\t\t\n\t\tvoid main(){\n\n\t\t\t${getPosition()}\n\t\t\t${getBoxCompute(\"2.\")}\n\n\t\t\tgl_Position = vec4(pos, 1.0);\n\t\t}\n\t`,\n advection: `\n\t\tvoid main(){\n\t\t\t${getPosition(false)}\n\t\t\tgl_Position = vec4(pos, 1.0);\n\t\t}\n\t`,\n splat: `\n\t\tuniform vec2 center;\n\t\tuniform vec2 radius;\n\t\tvoid main(){\t\t\n\t\t\tvec2 pos = position.xy * radius * 2.0 * texelSize + center;\n\t\t\tgl_Position = vec4(pos, 0.0, 1.0);\n\t\t}\n\t`,\n};\n\nexport default vertex;\n","uniform float deltaTime;\nuniform sampler2D velocity;\nuniform float dissipation;\n\nvoid main(){\n\tvec2 vel = texture2D(velocity, vUv).xy;\n\tvec2 uv2 = vUv - vel * deltaTime * maxAspect;\n\tvec2 newVel = texture2D(velocity, uv2).xy;\n\tgl_FragColor = vec4(dissipation * newVel, 0.0, 0.0);\n}","import * as THREE from \"three\";\nimport vertex from \"./shaders/vertex\";\nimport fragment from \"./shaders/advection.frag\";\nimport {\n FxMaterial,\n FxMaterialProps,\n} from \"../../../materials/core/FxMaterial\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\nimport { DELTA_TIME } from \".\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\n\ntype AdvectionUniforms = {\n dissipation: { value: number };\n deltaTime: { value: number };\n velocity: { value: THREE.Texture };\n};\n\nexport type AdvectionValues = NestUniformValues<AdvectionUniforms>;\nexport type AdvectionValuesClient = Omit<AdvectionValues, \"velocity\">;\n\nexport class AdvectionMaterial extends FxMaterial {\n static get type() {\n return \"AdvectionMaterial\";\n }\n\n uniforms!: AdvectionUniforms;\n\n constructor(props: FxMaterialProps<AdvectionValues>) {\n super({\n ...props,\n vertexShader: vertex.advection,\n fragmentShader: fragment,\n uniforms: {\n dissipation: { value: 0.99 },\n velocity: { value: DEFAULT_TEXTURE },\n deltaTime: { value: DELTA_TIME },\n } as AdvectionUniforms,\n });\n this.type = AdvectionMaterial.type;\n }\n}\n","uniform float deltaTime;\nuniform sampler2D velocity;\n\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\n\nvoid main(){\n float L = texture2D(velocity, vL).r;\n float R = texture2D(velocity, vR).r;\n float B = texture2D(velocity, vB).g;\n float T = texture2D(velocity, vT).g;\n\t \n float divergence = (R-L + T-B) / 2.0;\n gl_FragColor = vec4(divergence / deltaTime);\n}\n","import * as THREE from \"three\";\nimport vertex from \"./shaders/vertex\";\nimport fragment from \"./shaders/divergence.frag\";\nimport {\n FxMaterial,\n FxMaterialProps,\n} from \"../../../materials/core/FxMaterial\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\nimport { DELTA_TIME } from \".\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\n\ntype DivergenceUniforms = {\n bounce: { value: boolean };\n deltaTime: { value: number };\n velocity: { value: THREE.Texture };\n};\n\nexport type DivergenceValues = NestUniformValues<DivergenceUniforms>;\nexport type DivergenceValuesClient = Omit<DivergenceValues, \"velocity\">;\n\nexport class DivergenceMaterial extends FxMaterial {\n static get type() {\n return \"DivergenceMaterial\";\n }\n\n uniforms!: DivergenceUniforms;\n\n constructor(props: FxMaterialProps<DivergenceValues>) {\n super({\n ...props,\n vertexShader: vertex.main,\n fragmentShader: fragment,\n uniforms: {\n bounce: { value: true },\n velocity: { value: DEFAULT_TEXTURE },\n deltaTime: { value: DELTA_TIME },\n } as DivergenceUniforms,\n });\n\n this.type = DivergenceMaterial.type;\n }\n}\n","uniform float deltaTime;\nuniform sampler2D pressure;\nuniform sampler2D velocity;\n\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\n\nvoid main(){\n\n\tfloat L = texture2D(pressure, vL).r;\n\tfloat R = texture2D(pressure, vR).r;\n\tfloat B = texture2D(pressure, vB).r;\n\tfloat T = texture2D(pressure, vT).r;\n\n\tvec2 v = texture2D(velocity, vUv).xy;\n\tvec2 gradP = vec2(R - L, T - B) * 0.5;\n\tv = v - gradP * deltaTime;\n\n\tgl_FragColor = vec4(v, 0.0, 1.0);\n\n}","import * as THREE from \"three\";\nimport vertex from \"./shaders/vertex\";\nimport fragment from \"./shaders/pressure.frag\";\nimport {\n FxMaterial,\n FxMaterialProps,\n} from \"../../../materials/core/FxMaterial\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\nimport { DELTA_TIME } from \".\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\n\ntype PressureUniforms = {\n bounce: { value: boolean };\n deltaTime: { value: number };\n pressure: { value: THREE.Texture };\n velocity: { value: THREE.Texture };\n};\n\nexport type PressureValues = NestUniformValues<PressureUniforms>;\nexport type PressureValuesClient = Omit<\n PressureValues,\n \"velocity\" | \"pressure\"\n>;\n\nexport class PressureMaterial extends FxMaterial {\n static get type() {\n return \"PressureMaterial\";\n }\n\n uniforms!: PressureUniforms;\n\n constructor(props: FxMaterialProps<PressureValues>) {\n super({\n ...props,\n vertexShader: vertex.main,\n fragmentShader: fragment,\n uniforms: {\n bounce: { value: true },\n deltaTime: { value: DELTA_TIME },\n pressure: { value: DEFAULT_TEXTURE },\n velocity: { value: DEFAULT_TEXTURE },\n } as PressureUniforms,\n });\n\n this.type = PressureMaterial.type;\n }\n}\n","uniform sampler2D pressure;\nuniform sampler2D divergence;\n\nvarying vec2 vL;\nvarying vec2 vR;\nvarying vec2 vT;\nvarying vec2 vB;\n\nvoid main(){ \n\n\tfloat L = texture2D(pressure, vL).r;\n\tfloat R = texture2D(pressure, vR).r;\n\tfloat B = texture2D(pressure, vB).r;\n\tfloat T = texture2D(pressure, vT).r;\n\n\tfloat div = texture2D(divergence, vUv).r;\n\t\n\tfloat newP = (L + R + B + T) / 4.0 - div;\n\n\tgl_FragColor = vec4(newP);\n}\n","import * as THREE from \"three\";\nimport vertex from \"./shaders/vertex\";\nimport fragment from \"./shaders/poisson.frag\";\nimport {\n FxMaterial,\n FxMaterialProps,\n} from \"../../../materials/core/FxMaterial\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\n\ntype PoissonUniforms = {\n bounce: { value: boolean };\n pressure: { value: THREE.Texture };\n divergence: { value: THREE.Texture };\n};\n\nexport type PoissonValues = NestUniformValues<PoissonUniforms>;\nexport type PoissonValuesClient = Omit<\n PoissonValues,\n \"pressure\" | \"divergence\"\n>;\n\nexport class PoissonMaterial extends FxMaterial {\n static get type() {\n return \"PoissonMaterial\";\n }\n\n uniforms!: PoissonUniforms;\n\n iterations: number;\n\n constructor({ customParameters, ...rest }: FxMaterialProps<PoissonValues>) {\n super({\n ...rest,\n vertexShader: vertex.poisson,\n fragmentShader: fragment,\n uniforms: {\n bounce: { value: true },\n pressure: { value: DEFAULT_TEXTURE },\n divergence: { value: DEFAULT_TEXTURE },\n } as PoissonUniforms,\n });\n this.iterations = customParameters?.iterations ?? 32;\n this.type = PoissonMaterial.type;\n }\n}\n","uniform vec2 force;\nuniform float forceBias;\n\nvoid main(){\n\tgl_FragColor = vec4(force * forceBias * pow(1.0 - clamp(2.0 * distance(vUv, vec2(0.5)), 0.0, 1.0), 2.0), 0.0, 1.0);\n}","import * as THREE from \"three\";\nimport vertex from \"./shaders/vertex\";\nimport fragment from \"./shaders/splat.frag\";\nimport {\n FxMaterial,\n FxMaterialProps,\n} from \"../../../materials/core/FxMaterial\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\n\ntype SplatUniforms = {\n forceBias: { value: number };\n radius: { value: THREE.Vector2 };\n force: { value: THREE.Vector2 };\n center: { value: THREE.Vector2 };\n};\n\nexport type SplatValues = NestUniformValues<SplatUniforms>;\nexport type SplatValuesClient = Omit<SplatValues, \"force\" | \"center\">;\n\nexport class SplatMaterial extends FxMaterial {\n static get type() {\n return \"SplatMaterial\";\n }\n\n uniforms!: SplatUniforms;\n\n constructor(props: FxMaterialProps) {\n super({\n ...props,\n vertexShader: vertex.splat,\n fragmentShader: fragment,\n uniforms: {\n forceBias: { value: 20 },\n radius: { value: new THREE.Vector2(50, 50) },\n force: { value: new THREE.Vector2(0, 0) },\n center: { value: new THREE.Vector2(0, 0) },\n } as SplatUniforms,\n });\n\n this.type = SplatMaterial.type;\n\n this.blending = THREE.AdditiveBlending;\n }\n}\n","import * as THREE from \"three\";\nimport { FxMaterialProps } from \"../../core/FxMaterial\";\nimport { BasicFxUniforms, BasicFxValues } from \"../../core/BasicFxLib\";\nimport { BasicFxMaterial } from \"../../core/BasicFxMaterial\";\nimport { NestUniformValues } from \"../../../shaders/uniformsUtils\";\nimport { DEFAULT_TEXTURE } from \"../../../libs/constants\";\nimport { ShaderLib } from \"../../../shaders/ShaderLib\";\n\ntype OutputUniforms = {\n src: { value: THREE.Texture };\n} & BasicFxUniforms;\n\nexport type OutputValues = NestUniformValues<OutputUniforms> & BasicFxValues;\n\nexport class OutputMaterial extends BasicFxMaterial {\n static get type() {\n return \"OutputMaterial\";\n }\n\n uniforms!: OutputUniforms;\n\n constructor(props: FxMaterialProps<OutputValues> = {}) {\n super({\n ...props,\n vertexShader: `\n\t\t\t\tvoid main() {\n\t\t\t\t\t${ShaderLib.plane_vertex}\n\t\t\t\t}\n\t\t\t`,\n fragmentShader: `\n\t\t\t\tuniform sampler2D src;\n\t\t\t\tvoid main() {\n\t\t\t\t\tvec2 usf_Uv = vUv;\n\t\t\t\t\t\n\t\t\t\t\t${ShaderLib.basicFx_fragment_begin}\n\n\t\t\t\t\tvec4 usf_FragColor = vec4(length(texture2D(src,usf_Uv).rg));\n\n\t\t\t\t\t${ShaderLib.basicFx_fragment_end}\n\n\t\t\t\t\tgl_FragColor = usf_FragColor;\n\t\t\t\t}\n\t\t\t`,\n uniforms: {\n src: { value: DEFAULT_TEXTURE },\n },\n });\n this.type = OutputMaterial.type;\n }\n}\n","export * from \"./AdvectionMaterial\";\nexport * from \"./DivergenceMaterial\";\nexport * from \"./PressureMaterial\";\nexport * from \"./PoissonMaterial\";\nexport * from \"./SplatMaterial\";\nexport * from \"./OutputMaterial\";\n\nexport const DELTA_TIME = 0.008;\n","import * as THREE from \"three\";\nimport { FxMaterialProps } from \"./FxMaterial\";\nimport {\n NestUniformValues,\n UniformParentKey,\n} from \"../../shaders/uniformsUtils\";\nimport { mergeShaderLib } from \"../../shaders/shaderUtils\";\nimport { BasicFxMaterial } from \"./BasicFxMaterial\";\nimport * as BasicFxLib from \"./BasicFxLib\";\nimport { DEFAULT_TEXTURE } from \"../../libs/constants\";\n\n/*===============================================\ntypes\n===============================================*/\ntype SamplingFxUniformsUnique = {\n texture: { value: UniformParentKey };\n texture_src: { value: THREE.Texture };\n texture_fit: { value: BasicFxLib.FitType };\n};\ntype SamplingFxUniformsFitScale = {\n texture_fitScale: { value: THREE.Vector2 };\n};\nexport type SamplingFxUniforms = SamplingFxUniformsUnique &\n BasicFxLib.BasicFxUniforms;\nexport type SamplingFxValues = NestUniformValues<SamplingFxUniforms>;\n\n/*===============================================\nconstants\n===============================================*/\nconst SAMPLINGFX_VALUES: SamplingFxUniformsUnique & SamplingFxUniformsFitScale =\n {\n texture: { value: true },\n texture_src: { value: DEFAULT_TEXTURE },\n texture_fit: { value: 0 },\n texture_fitScale: { value: new THREE.Vector2(1, 1) },\n };\n\n/**\n * SamplingFxMaterialでは常にtextureはtrueであるはずなので、BasicFxMaterialを継承して、srcSystemは常にtrueになるように、継承する\n */\nexport class SamplingFxMaterial extends BasicFxMaterial {\n uniforms!: SamplingFxUniforms;\n\n constructor({ uniforms, ...rest }: FxMaterialProps<SamplingFxValues>) {\n super({\n ...rest,\n uniforms: {\n ...THREE.UniformsUtils.clone(SAMPLINGFX_VALUES),\n ...uniforms,\n },\n });\n }\n\n protected _handleMergeShaderLib(\n vertexShader?: string,\n fragmentShader?: string\n ) {\n return mergeShaderLib(vertexShader, fragmentShader, \"samplingFx\");\n }\n\n protected _isContainsBasicFxValues(values?: {\n [key: string]: any;\n }): boolean {\n return super._isContainsBasicFxValues(values, {\n ...BasicFxLib.BASICFX_VALUES,\n ...SAMPLINGFX_VALUES,\n });\n }\n\n protected _updateFitScale() {\n super._updateFitScale();\n this._setFitScale(\"texture\");\n }\n\n protected _setupFxKey(\n uniforms: BasicFxLib.BasicFxUniforms\n ): BasicFxLib.FxKey {\n const key = super._setupFxKey(uniforms);\n key.srcSystem = true;\n return key;\n }\n\n protected _handleUpdateFxShaders(): {\n diffCount: number;\n newFxKey: BasicFxLib.FxKey;\n } {\n const { diffCount, newFxKey } = super._handleUpdateFxShaders();\n newFxKey.srcSystem = true;\n return {\n diffCount,\n newFxKey,\n };\n }\n\n protected _handleUpdateFxDefines(): {\n [key: string]: any;\n } {\n return Object.assign(super._handleUpdateFxDefines(), {\n USF_USE_TEXTURE: true,\n });\n }\n}\n","import * as THREE from \"three\";\nimport {\n SamplingFxUniforms,\n SamplingFxValues,\n SamplingFxMaterial,\n} from \"../../core/SamplingFxMaterial\";\nimport { FxMaterialProps } from \"../../core/FxMaterial\";\nimport {\n ExtractUniformValues,\n NestUniformValues,\n} from \"../../../shaders/uniformsUtils\";\nimport { ShaderLib } from \"../../../shaders/ShaderLib\";\n\n/*===============================================\nmemo\n\n- BufferMaterialはMaterialをそのまま、r3fでextendしてコンポーネントとして使うケースが考えられる\nので、keyを持たせる\n- また、globalで型定義する\n===============================================*/\n\ntype BufferUniforms = SamplingFxUniforms;\n\nexport type BufferValues = NestUniformValues<BufferUniforms> & SamplingFxValues;\n\nexport type BufferMaterialProps = ExtractUniformValues<BufferUniforms>;\n\nexport class BufferMaterial extends SamplingFxMaterial {\n public static readonly key: string = THREE.MathUtils.generateUUID();\n\n static get type() {\n return \"BufferMaterial\";\n }\n\n uniforms!: BufferUniforms;\n\n constructor(props: FxMaterialProps<BufferValues> = {}) {\n super({\n ...props,\n vertexShader: `\n\t\t\t\tvoid main() {\n\t\t\t\t\t${ShaderLib.plane_vertex}\n\t\t\t\t}\n\t\t\t`,\n fragmentShader: `\n\t\t\t\tvoid main() {\n\t\t\t\t\tvec2 usf_Uv = vTextureCoverUv;\n\n\t\t\t\t\t${ShaderLib.basicFx_fragment_begin}\n\n\t\t\t\t\tvec4 usf_FragColor = fitTexture(texture_src,usf_Uv,texture_fit);\n\n\t\t\t\t\t${ShaderLib.basicFx_fragment_end}\n\n\t\t\t\t\tgl_FragColor = usf_FragColor;\n\t\t\t\t}\n\t\t\t`,\n });\n\n this.type = BufferMaterial.type;\n }\n}\n\ndeclare global {\n namespace JSX {\n interface IntrinsicElements {\n bufferMaterial: BufferMaterialProps & {\n ref?: React.RefObject<BufferMaterial>;\n key?: React.Key;\n };\n }\n }\n}\n","import { FxMaterial, FxMaterialProps } from \"../../core/FxMaterial\";\n\nexport class RawBlankMaterial extends FxMaterial {\n static get type() {\n return \"RawBlankMaterial\";\n }\n constructor(props: FxMaterialProps) {\n super(props);\n this.type = RawBlankMaterial.type;\n }\n}\n","import * as THREE from \"three\";\nimport {\n DefaultUniforms,\n FxMaterial,\n FxMaterialProps,\n} from \"../../core/FxMaterial\";\nimport { mergeShaderCode } from \"../../../shaders/shaderUtils\";\n\ntype BlankUniforms = {\n time: { value: number };\n pointer: { value: THREE.Vector2 };\n backbuffer: { value: THREE.Texture };\n} & DefaultUniforms;\n\nconst SHADER_PARS = `\n\tuniform float time;\n\tuniform vec2 pointer;\n\tuniform sampler2D backbuffer;\n`;\n\nexport class BlankMaterial extends FxMaterial {\n static get type() {\n return \"BlankMaterial\";\n }\n\n uniforms!: BlankUniforms;\n\n constructor({\n vertexShader,\n fragmentShader,\n uniforms,\n ...rest\n }: FxMaterialProps) {\n super({\n ...rest,\n vertexShader:\n vertexShader && mergeShaderCode([SHADER_PARS, vertexShader]),\n fragmentShader:\n fragmentShader && mergeShaderCode([SHADER_PARS, fragmentShader]),\n uniforms: {\n time: { value: 0.0 },\n pointer: { value: new THREE.Vector2() },\n backbuffer: { value: new THREE.Texture() },\n ...uniforms,\n } as BlankUniforms,\n });\n this.type = BlankMaterial.type;\n }\n}\n","import { ShaderLib } from \"../../../shaders/ShaderLib\";\n\nexport const gridVertex = `\n\tvoid main() {\n\t\t${ShaderLib.plane_vertex}\n\t}\n`;\n\nexport const gridFragment = `\n\tuniform vec2 count;\n\tuniform bool autoScale;\n\tuniform float tick;\n\tuniform bool shuffle;\n\tuniform float shuffle_frequency;\n\tuniform float shuffle_range;\n\n\tuniform bool sprite;\n\tuniform sampler2D sprite_src;\n\tuniform float sprite_length;\n\tuniform float sprite_shuffleSpeed;\n\n\tfloat hash(vec2 p) {\n\t\treturn fract(sin(dot(p, vec2(12.9898, 78.233))) * 43758.5453);\n\t}\n\n\tvec2 shuffleIndex(vec2 cellIndex , vec2 count) {\n\n\t\tfloat discreteTime = floor(tick * shuffle_frequency);\n\n\t\tfloat r1 = hash(cellIndex + vec2(0.123, discreteTime));\n\t\tfloat r2 = hash(cellIndex + vec2(0.789, discreteTime));\n\n\t\t// -range ~ +range\n\t\tfloat offsetX = floor(r1 * (shuffle_range * 2.0 + 1.0)) - shuffle_range;\n\t\tfloat offsetY = floor(r2 * (shuffle_range * 2.0 + 1.0)) - shuffle_range;\n\t\tvec2 offset = vec2(offsetX, offsetY);\n\n\t\treturn mod(cellIndex + offset, count);\n\t}\n\n\tvoid main() {\n\t\tvec2 usf_Uv = vUv;\n\t\t${ShaderLib.basicFx_fragment_begin}\n\n\t\tvec2 n_count = count;\n\t\tn_count.x *= autoScale ? aspectRatio : 1.;\n\n\t\tvec2 cellIndex = ceil(usf_Uv * n_count);\n\n\t\tvec2 shuffledIndex = shuffle ? shuffleIndex(cellIndex, n_count) : cellIndex;\n\n\t\tvec2 cellCenter = calcSrcUv((shuffledIndex - .5) / n_count, texture_fitScale);\n\n\t\tvec4 gridTextureColor = fitTexture(texture_src, cellCenter, texture_fit);\n\n\t\tif(sprite){\n\t\t\tvec2 cellUv = fract(usf_Uv * n_count);\n\t\t\tfloat cellHash = hash(cellIndex);\n\t\t\tfloat spritePos = fract(cellHash + tick * sprite_shuffleSpeed);\n\t\t\tfloat spriteIndex = floor(spritePos * sprite_length);\n\t\t\tfloat spriteSize = 1.0 / sprite_length;\n\t\t\tfloat spriteOffset = spriteIndex * spriteSize;\n\t\t\tfloat spriteU = spriteOffset + cellUv.x * spriteSize;\n\t\t\tvec2 spriteUv = vec2(spriteU, cellUv.y);\n\t\t\tvec4 spriteColor = texture2D(sprite_src, spriteUv);\n\t\t\tgridTextureColor *= spriteColor;\n\t\t}\n\n\t\tvec4 usf_FragColor = gridTextureColor;\n\t\t${ShaderLib.basicFx_fragment_end}\n\n\t\tgl_FragColor = usf_FragColor;\n\n\t}\n`;\n","import * as THREE from \"three\";\nimport {\n SamplingFxUniforms,\n SamplingFxValues,\n SamplingFxMaterial,\n} from \"../../core/SamplingFxMaterial\";\nimport { FxMaterialProps } from \"../../core/FxMaterial\";\nimport {\n ExtractUniformValues,\n NestUniformValues,\n UniformParentKey,\n} from \"../../../shaders/uniformsUtils\";\nimport { gridVertex, gridFragment } from \"./grid.glsl\";\n\ntype GridUniforms = {\n /** グリッドのマス数 */\n count: { value: THREE.Vector2 };\n /** 自動で画面のアスペクト比に合わせて正方形にscaleする */\n autoScale: { value: boolean };\n /** tick */\n tick: { value: number };\n shuffle: { value: UniformParentKey };\n shuffle_frequency: { value: number };\n shuffle_range: { value: number };\n /** スプライトテクスチャ */\n sprite: { value: UniformParentKey };\n sprite_src: { value: THREE.Texture };\n sprite_length: { value: number };\n sprite_shuffleSpeed: { value: number };\n} & SamplingFxUniforms;\n\nexport type GridValues = NestUniformValues<GridUniforms> & SamplingFxValues;\n\nexport type GridMaterialProps = ExtractUniformValues<GridUniforms>;\n\nexport class GridMaterial extends SamplingFxMaterial {\n static get type() {\n return \"GridMaterial\";\n }\n\n uniforms!: GridUniforms;\n\n constructor(props: FxMaterialProps<GridValues>) {\n super({\n ...props,\n vertexShader: gridVertex,\n fragmentShader: gridFragment,\n uniforms: {\n count: { value: new THREE.Vector2(20, 20) },\n autoScale: { value: true },\n tick: { value: 0 },\n shuffle: { value: false },\n shuffle_frequency: { value: 5 },\n shuffle_range: { value: 2 },\n sprite: { value: false },\n sprite_src: { value: new THREE.Texture() },\n sprite_length: { value: 10 },\n sprite_shuffleSpeed: { value: 0 },\n } as GridUniforms,\n });\n\n this.setNearestFilter();\n\n this.type = GridMaterial.type;\n }\n\n /** When gridding with floor, you must use NearestFilter. */\n public setNearestFilter() {\n this.uniforms.texture_src.value.magFilter = THREE.NearestFilter;\n this.uniforms.texture_src.value.minFilter = THREE.NearestFilter;\n this.uniforms.sprite_src.value.magFilter = THREE.NearestFilter;\n this.uniforms.sprite_src.value.minFilter = THREE.NearestFilter;\n }\n}\n","import { useCallback } from \"react\";\nimport { useSingleFBO, getDpr, useSetup } from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport {\n NoiseMaterial,\n NoiseMaterialProps,\n NoiseValues,\n} from \"../../materials\";\n\nexport type NoiseProps = HooksProps & NoiseValues;\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useNoise = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n ...uniformValues\n}: NoiseProps): HooksReturn<\n NoiseValues,\n NoiseMaterial & NoiseMaterialProps\n> => {\n const _dpr = getDpr(dpr);\n\n const { scene, material, camera } = useSetup({\n size,\n dpr: _dpr.shader,\n material: NoiseMaterial,\n uniformValues,\n materialParameters,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n fboAutoSetSize,\n ...renderTargetOptions,\n });\n\n const setValues = useCallback(\n (newValues: NoiseValues, needsUpdate: boolean = true) => {\n material.setUniformValues(newValues, needsUpdate);\n },\n [material]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: NoiseValues) => {\n const { gl, clock } = rootState;\n newValues && setValues(newValues, false);\n material.uniforms.tick.value =\n typeof newValues?.tick === \"function\"\n ? newValues.tick(material.uniforms.tick.value)\n : newValues?.tick || clock.getElapsedTime();\n return updateRenderTarget({ gl });\n },\n [setValues, updateRenderTarget, material]\n );\n\n return {\n render,\n setValues,\n texture: renderTarget.texture,\n material,\n scene,\n camera,\n renderTarget,\n };\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { FluidMaterials } from \"../../../materials\";\nimport { SingleFBOUpdateFunction, useSetup } from \"../../../utils\";\n\nexport const useAdvection = (\n {\n size,\n dpr,\n ...uniformValues\n }: {\n size: Size;\n dpr: number | false;\n } & FluidMaterials.AdvectionValues,\n updateRenderTarget: SingleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.AdvectionMaterial,\n uniformValues,\n });\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl } = rootState;\n updateRenderTarget({ gl, scene, camera });\n },\n [updateRenderTarget, scene, camera]\n );\n\n return { render, material };\n};\n","import * as THREE from \"three\";\nimport { useCallback, useRef } from \"react\";\n\nexport type PointerValues = {\n currentPointer: THREE.Vector2;\n prevPointer: THREE.Vector2;\n diffPointer: THREE.Vector2;\n velocity: THREE.Vector2;\n isVelocityUpdate: boolean;\n};\n\ntype PointerTracker = (currentPointer: THREE.Vector2) => PointerValues;\n\n/**\n * @description When given the pointer vector2 from r3f's RootState, it generates an update function that returns {`currentPointer`, `prevPointer`, `diffPointer`, `isVelocityUpdate`, `velocity`}.\n * @description When calling custom in a `useFrame` loop, you can avoid duplication of execution by passing `pointerValues` to the update function of a Pointer-activated fxHook, such as `useBrush`.\n * @param lerp 0~1, lerp intensity (0 to less than 1) , default : `0`\n */\nexport const usePointerTracker = (lerp: number = 0): PointerTracker => {\n const prevPointer = useRef(new THREE.Vector2(0, 0));\n const diffPointer = useRef(new THREE.Vector2(0, 0));\n const lerpPointer = useRef(new THREE.Vector2(0, 0));\n const lastUpdateTime = useRef<number>(0);\n const velocity = useRef(new THREE.Vector2(0, 0));\n const isMoved = useRef(false);\n\n const pointerTracker = useCallback(\n (currentPointer: THREE.Vector2) => {\n const now = performance.now();\n\n // lerp\n let current: THREE.Vector2;\n if (isMoved.current && lerp) {\n lerpPointer.current = lerpPointer.current.lerp(\n currentPointer,\n 1 - lerp\n );\n current = lerpPointer.current.clone();\n } else {\n current = currentPointer.clone();\n lerpPointer.current = current;\n }\n\n // first frame\n if (lastUpdateTime.current === 0) {\n lastUpdateTime.current = now;\n prevPointer.current = current;\n }\n const deltaTime = Math.max(1, now - lastUpdateTime.current);\n lastUpdateTime.current = now;\n\n // get velocity\n velocity.current\n .copy(current)\n .sub(prevPointer.current)\n .divideScalar(deltaTime);\n const isUpdate = velocity.current.length() > 0;\n\n //set prev temp pos\n const prevTemp = isMoved.current\n ? prevPointer.current.clone()\n : current;\n if (!isMoved.current && isUpdate) {\n isMoved.current = true;\n }\n prevPointer.current = current;\n\n return {\n currentPointer: current,\n prevPointer: prevTemp,\n diffPointer: diffPointer.current.subVectors(current, prevTemp),\n velocity: velocity.current,\n isVelocityUpdate: isUpdate,\n };\n },\n [lerp]\n );\n\n return pointerTracker;\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { SingleFBOUpdateFunction, useSetup } from \"../../../utils\";\nimport { FluidMaterials } from \"../../../materials\";\nimport { usePointerTracker } from \"../../../misc/usePointerTracker\";\n\nexport const useSplat = (\n {\n size,\n dpr,\n ...uniformValues\n }: {\n size: Size;\n dpr: number | false;\n } & FluidMaterials.SplatValuesClient,\n updateRenderTarget: SingleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.SplatMaterial,\n geometrySize: {\n width: 1,\n height: 1,\n },\n uniformValues,\n });\n\n const pointerTracker = usePointerTracker();\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl, pointer } = rootState;\n const { currentPointer, diffPointer } = pointerTracker(pointer);\n\n material.uniforms.center.value.copy(currentPointer);\n material.uniforms.force.value.copy(diffPointer);\n\n updateRenderTarget({ gl, scene, camera, clear: false });\n },\n [updateRenderTarget, material, pointerTracker, scene, camera]\n );\n\n return { render, material };\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { FluidMaterials } from \"../../../materials\";\nimport { useSetup, SingleFBOUpdateFunction } from \"../../../utils\";\n\nexport const useDivergence = (\n {\n size,\n dpr,\n ...uniformValues\n }: {\n size: Size;\n dpr: number | false;\n } & FluidMaterials.DivergenceValues,\n updateRenderTarget: SingleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.DivergenceMaterial,\n uniformValues,\n });\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl } = rootState;\n updateRenderTarget({ gl, scene, camera });\n },\n [updateRenderTarget, scene, camera]\n );\n\n return { render, material };\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { DoubleFBOUpdateFunction, useSetup } from \"../../../utils\";\nimport { FluidMaterials } from \"../../../materials\";\n\nexport const usePoisson = (\n {\n size,\n dpr,\n pressureIterations,\n ...uniformValues\n }: {\n size: Size;\n dpr: number | false;\n pressureIterations?: number;\n } & Omit<FluidMaterials.PoissonValues, \"pressure\">,\n updateRenderTarget: DoubleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.PoissonMaterial,\n uniformValues,\n customParameters: {\n iterations: pressureIterations,\n },\n });\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl } = rootState;\n for (let i = 0; i < material.iterations; i++) {\n updateRenderTarget({ gl, scene, camera }, ({ read }) => {\n material.uniforms.pressure.value = read;\n });\n }\n },\n [updateRenderTarget, material, scene, camera]\n );\n\n return { render, material };\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { SingleFBOUpdateFunction, useSetup } from \"../../../utils\";\nimport { FluidMaterials } from \"../../../materials\";\n\nexport const usePressure = (\n {\n size,\n dpr,\n ...uniformValues\n }: {\n size: Size;\n dpr: number | false;\n } & FluidMaterials.PressureValues,\n updateRenderTarget: SingleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.PressureMaterial,\n uniformValues,\n });\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl } = rootState;\n updateRenderTarget({ gl, scene, camera });\n },\n [updateRenderTarget, scene, camera]\n );\n\n return { render, material };\n};\n","import { useCallback } from \"react\";\nimport { RootState, Size } from \"../../types\";\nimport { SingleFBOUpdateFunction, useSetup } from \"../../../utils\";\nimport { FluidMaterials } from \"../../../materials\";\n\nexport const useOutput = (\n {\n size,\n dpr,\n ...values\n }: {\n size: Size;\n dpr: number | false;\n } & FluidMaterials.OutputValues,\n updateRenderTarget: SingleFBOUpdateFunction\n) => {\n const { scene, material, camera } = useSetup({\n size,\n dpr,\n material: FluidMaterials.OutputMaterial,\n uniformValues: values,\n });\n\n const render = useCallback(\n (rootState: RootState) => {\n const { gl } = rootState;\n updateRenderTarget({ gl, scene, camera });\n },\n [updateRenderTarget, scene, camera]\n );\n\n return { render, material };\n};\n","import * as THREE from \"three\";\nimport { useCallback } from \"react\";\nimport { useSingleFBO, useDoubleFBO, getDpr } from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport { useAdvection } from \"./scenes/useAdvection\";\nimport { useSplat } from \"./scenes/useSplat\";\nimport { useDivergence } from \"./scenes/useDivergence\";\nimport { usePoisson } from \"./scenes/usePoisson\";\nimport { usePressure } from \"./scenes/usePressure\";\nimport { useOutput } from \"./scenes/useOutput\";\nimport { BasicFxValues, FluidMaterials } from \"../../materials\";\n\nexport type FluidValues = {\n pressureIterations?: number;\n} & BasicFxValues &\n FluidMaterials.AdvectionValuesClient &\n FluidMaterials.DivergenceValuesClient &\n FluidMaterials.PoissonValuesClient &\n FluidMaterials.PressureValuesClient &\n FluidMaterials.SplatValuesClient;\n\nexport type FluidProps = HooksProps & FluidValues;\n\nconst removeUndefined = <T extends object>(obj: T): Partial<T> =>\n Object.fromEntries(\n Object.entries(obj).filter(([, value]) => value !== undefined)\n ) as Partial<T>;\n\nconst extractValues = (values: FluidValues) => {\n const {\n dissipation,\n deltaTime,\n bounce,\n pressureIterations,\n radius,\n forceBias,\n ...basicFxValues\n } = values;\n\n return [\n {\n advection: removeUndefined({ dissipation, deltaTime }),\n divergence: removeUndefined({ bounce, deltaTime }),\n poisson: removeUndefined({ bounce }),\n pressure: removeUndefined({ bounce, deltaTime }),\n splat: removeUndefined({ radius, forceBias }),\n pressureIterations,\n },\n basicFxValues,\n ] as const;\n};\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useFluid = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n ...uniformValues\n}: FluidProps): HooksReturn<\n FluidValues,\n any,\n {\n /** velocity map */\n velocity: THREE.Texture;\n }\n> => {\n const _dpr = getDpr(dpr);\n\n // fbos\n const fboProps = {\n dpr: _dpr.fbo,\n size,\n fboAutoSetSize,\n type: THREE.HalfFloatType,\n ...renderTargetOptions,\n };\n const [velocity_0, updateVelocity_0] = useSingleFBO(fboProps);\n const [velocity_1, updateVelocity_1] = useSingleFBO(fboProps);\n const [divergenceFBO, updateDivergenceFBO] = useSingleFBO(fboProps);\n const [pressureFBO, updatePressureFBO] = useDoubleFBO(fboProps);\n const [outputFBO, updateOutputFBO] = useSingleFBO(fboProps);\n\n // scenes\n const [extractedValues, basicFxValues] = extractValues(uniformValues);\n\n const SceneSize = { size, dpr: _dpr.shader };\n const advection = useAdvection(\n {\n ...SceneSize,\n ...extractedValues.advection,\n velocity: velocity_0.texture,\n },\n updateVelocity_1\n );\n const splat = useSplat(\n {\n ...SceneSize,\n ...extractedValues.splat,\n },\n updateVelocity_1\n );\n const divergence = useDivergence(\n {\n ...SceneSize,\n ...extractedValues.divergence,\n velocity: velocity_1.texture,\n },\n updateDivergenceFBO\n );\n const poisson = usePoisson(\n {\n ...SceneSize,\n ...extractedValues.poisson,\n divergence: divergenceFBO.texture,\n pressureIterations: extractedValues.pressureIterations,\n },\n updatePressureFBO\n );\n const pressure = usePressure(\n {\n ...SceneSize,\n ...extractedValues.pressure,\n velocity: velocity_1.texture,\n pressure: pressureFBO.read.texture,\n },\n updateVelocity_0\n );\n const output = useOutput(\n {\n ...SceneSize,\n ...basicFxValues,\n src: velocity_0.texture,\n },\n updateOutputFBO\n );\n\n const setValues = useCallback(\n (newValues: FluidValues, needsUpdate: boolean = true) => {\n const [_extractedValues, _basicFxValues] = extractValues(newValues);\n\n output.material.setUniformValues(_basicFxValues, needsUpdate);\n advection.material.setUniformValues(_extractedValues.advection);\n divergence.material.setUniformValues(_extractedValues.divergence);\n poisson.material.setUniformValues(_extractedValues.poisson);\n pressure.material.setUniformValues(_extractedValues.pressure);\n splat.material.setUniformValues(_extractedValues.splat);\n if (_extractedValues.pressureIterations) {\n poisson.material.iterations = _extractedValues.pressureIterations;\n }\n },\n [output, advection, divergence, poisson, pressure, splat]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: FluidValues) => {\n newValues && setValues(newValues, false);\n\n [advection, splat, divergence, poisson, pressure, output].forEach(\n (shader) => shader?.render(rootState)\n );\n\n return outputFBO.texture;\n },\n [\n setValues,\n outputFBO.texture,\n advection,\n splat,\n divergence,\n poisson,\n pressure,\n output,\n ]\n );\n\n return {\n render,\n setValues,\n texture: outputFBO.texture,\n velocity: velocity_0.texture,\n };\n};\n","import { useCallback } from \"react\";\nimport { useSingleFBO, getDpr, useSetup } from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport {\n BufferMaterial,\n BufferMaterialProps,\n BufferValues,\n} from \"../../materials\";\n\nexport type BufferProps = HooksProps & BufferValues;\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBuffer = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n ...uniformValues\n}: BufferProps): HooksReturn<\n BufferValues,\n BufferMaterial & BufferMaterialProps\n> => {\n const _dpr = getDpr(dpr);\n\n const { scene, material, camera } = useSetup({\n size,\n dpr: _dpr.shader,\n material: BufferMaterial,\n uniformValues,\n materialParameters,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n fboAutoSetSize,\n ...renderTargetOptions,\n });\n\n const setValues = useCallback(\n (newValues: BufferValues, needsUpdate: boolean = true) => {\n material.setUniformValues(newValues, needsUpdate);\n },\n [material]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: BufferValues) => {\n const { gl } = rootState;\n newValues && setValues(newValues, false);\n return updateRenderTarget({ gl });\n },\n [setValues, updateRenderTarget]\n );\n\n return {\n render,\n setValues,\n texture: renderTarget.texture,\n material,\n scene,\n camera,\n renderTarget,\n };\n};\n","import { useCallback } from \"react\";\nimport { useSingleFBO, getDpr, useSetup } from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport { RawBlankMaterial } from \"../../materials\";\nimport { ShaderWithUniforms } from \"../../shaders/uniformsUtils\";\n\nexport type RawBlankProps = HooksProps & ShaderWithUniforms;\n\n/**\n * type DefaultUniforms = {\n resolution: { value: THREE.Vector2 };\n texelSize: { value: THREE.Vector2 };\n aspectRatio: { value: number };\n maxAspect: { value: THREE.Vector2 };\n renderCount: { value: number };\n\tはデフォルトである\n\tあとvaringでvUvつかえる\n\t\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useRawBlank = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n ...shaderWithUniforms\n}: RawBlankProps): HooksReturn<{}, RawBlankMaterial> => {\n const _dpr = getDpr(dpr);\n\n const { scene, material, camera } = useSetup({\n size,\n dpr: _dpr.shader,\n material: RawBlankMaterial,\n materialParameters,\n ...shaderWithUniforms,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n fboAutoSetSize,\n ...renderTargetOptions,\n });\n\n const setValues = useCallback(\n (newValues: {}) => {\n material.setUniformValues(newValues);\n },\n [material]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: {}) => {\n const { gl } = rootState;\n newValues && setValues(newValues);\n return updateRenderTarget({ gl });\n },\n [setValues, updateRenderTarget]\n );\n\n return {\n render,\n setValues,\n texture: renderTarget.texture,\n material,\n scene,\n camera,\n renderTarget,\n };\n};\n","import { useCallback } from \"react\";\nimport {\n useSingleFBO,\n getDpr,\n useSetup,\n useDoubleFBO,\n useMutableState,\n} from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport { BlankMaterial } from \"../../materials\";\nimport { ShaderWithUniforms } from \"../../shaders/uniformsUtils\";\n\ntype BlankConfig = {\n pointerLerp?: number;\n};\n\nexport type BlankProps = HooksProps & ShaderWithUniforms;\n\n/**\n * type DefaultUniforms = {\n resolution: { value: THREE.Vector2 };\n texelSize: { value: THREE.Vector2 };\n aspectRatio: { value: number };\n maxAspect: { value: THREE.Vector2 };\n renderCount: { value: number };\n\tはデフォルトである\n\tあとvaringでvUvつかえる\n\n\t加えて、\n\ttime\n\tpointer\n\tbackbuffer\n\tもデフォルトで使える\n\n\tあと、pointerLerp使えるよ\n\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useBlank = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n pointerLerp = 1,\n ...shaderWithUniforms\n}: BlankProps & BlankConfig): HooksReturn<{}, BlankMaterial> => {\n const _dpr = getDpr(dpr);\n\n const { scene, material, camera } = useSetup({\n size,\n dpr: _dpr.shader,\n material: BlankMaterial,\n materialParameters,\n ...shaderWithUniforms,\n });\n\n const fboParams = {\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n fboAutoSetSize,\n ...renderTargetOptions,\n };\n const [renderTarget, updateRenderTarget] = useSingleFBO(fboParams);\n const [_, updateBackbuffer] = useDoubleFBO(fboParams);\n\n const [confing, setConfig] = useMutableState<BlankConfig>({ pointerLerp });\n\n const setValues = useCallback(\n ({ pointerLerp, ...newValues }: {} & BlankConfig) => {\n material.setUniformValues(newValues);\n if (pointerLerp) setConfig({ pointerLerp });\n },\n [material, setConfig]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: {} & BlankConfig) => {\n const { gl, clock, pointer } = rootState;\n if (newValues) setValues(newValues);\n material.uniforms.time.value = clock.getElapsedTime();\n material.uniforms.pointer.value.lerp(\n pointer,\n confing.current.pointerLerp!\n );\n updateBackbuffer(\n { gl },\n ({ read }) => (material.uniforms.backbuffer.value = read)\n );\n return updateRenderTarget({ gl });\n },\n [setValues, updateRenderTarget, material, updateBackbuffer, confing]\n );\n\n return {\n render,\n setValues,\n texture: renderTarget.texture,\n material,\n scene,\n camera,\n renderTarget,\n };\n};\n","import { useCallback } from \"react\";\nimport { useSingleFBO, getDpr, useSetup } from \"../../utils\";\nimport { HooksProps, HooksReturn, RootState } from \"../types\";\nimport { GridMaterial, GridValues, GridMaterialProps } from \"../../materials\";\n\nexport type GridProps = HooksProps & GridValues;\n\n/**\n * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage\n */\nexport const useGrid = ({\n size,\n dpr,\n fboAutoSetSize,\n renderTargetOptions,\n materialParameters,\n ...uniformValues\n}: GridProps): HooksReturn<GridValues, GridMaterial & GridMaterialProps> => {\n const _dpr = getDpr(dpr);\n\n const { scene, material, camera } = useSetup({\n size,\n dpr: _dpr.shader,\n material: GridMaterial,\n uniformValues,\n materialParameters,\n });\n\n const [renderTarget, updateRenderTarget] = useSingleFBO({\n scene,\n camera,\n size,\n dpr: _dpr.fbo,\n fboAutoSetSize,\n ...renderTargetOptions,\n });\n\n const setValues = useCallback(\n (newValues: GridValues, needsUpdate: boolean = true) => {\n material.setUniformValues(newValues, needsUpdate);\n material.setNearestFilter();\n },\n [material]\n );\n\n const render = useCallback(\n (rootState: RootState, newValues?: GridValues) => {\n const { gl, clock } = rootState;\n newValues && setValues(newValues, false);\n material.uniforms.tick.value =\n typeof newValues?.tick === \"function\"\n ? newValues.tick(material.uniforms.tick.value)\n : newValues?.tick || clock.getElapsedTime();\n return updateRenderTarget({ gl });\n },\n [setValues, updateRenderTarget, material]\n );\n\n return {\n render,\n setValues,\n texture: renderTarget.texture,\n material,\n scene,\n camera,\n renderTarget,\n };\n};\n","export type EasingTypes =\n | \"easeInSine\"\n | \"easeOutSine\"\n | \"easeInOutSine\"\n | \"easeInQuad\"\n | \"easeOutQuad\"\n | \"easeInOutQuad\"\n | \"easeInCubic\"\n | \"easeOutCubic\"\n | \"easeInOutCubic\"\n | \"easeInQuart\"\n | \"easeOutQuart\"\n | \"easeInOutQuart\"\n | \"easeInQuint\"\n | \"easeOutQuint\"\n | \"easeInOutQuint\"\n | \"easeInExpo\"\n | \"easeOutExpo\"\n | \"easeInOutExpo\"\n | \"easeInCirc\"\n | \"easeOutCirc\"\n | \"easeInOutCirc\"\n | \"easeInBack\"\n | \"easeOutBack\"\n | \"easeInOutBack\"\n | \"easeInElastic\"\n | \"easeOutElastic\"\n | \"easeInOutElastic\"\n | \"easeInBounce\"\n | \"easeOutBounce\"\n | \"easeInOutBounce\";\n\ntype EasingFunctions = {\n [K in EasingTypes]: (x: number) => number;\n};\n\n/**\n * from https://github.com/ai/easings.net\n */\nexport const Easing: EasingFunctions = Object.freeze({\n easeInSine(x: number): number {\n return 1 - Math.cos((x * Math.PI) / 2);\n },\n easeOutSine(x: number): number {\n return Math.sin((x * Math.PI) / 2);\n },\n easeInOutSine(x: number): number {\n return -(Math.cos(Math.PI * x) - 1) / 2;\n },\n easeInQuad(x: number): number {\n return x * x;\n },\n easeOutQuad(x: number): number {\n return 1 - (1 - x) * (1 - x);\n },\n easeInOutQuad(x: number): number {\n return x < 0.5 ? 2 * x * x : 1 - Math.pow(-2 * x + 2, 2) / 2;\n },\n easeInCubic(x: number): number {\n return x * x * x;\n },\n easeOutCubic(x: number): number {\n return 1 - Math.pow(1 - x, 3);\n },\n easeInOutCubic(x: number): number {\n return x < 0.5 ? 4 * x * x * x : 1 - Math.pow(-2 * x + 2, 3) / 2;\n },\n easeInQuart(x: number): number {\n return x * x * x * x;\n },\n easeOutQuart(x: number): number {\n return 1 - Math.pow(1 - x, 4);\n },\n easeInOutQuart(x: number): number {\n return x < 0.5 ? 8 * x * x * x * x : 1 - Math.pow(-2 * x + 2, 4) / 2;\n },\n easeInQuint(x: number): number {\n return x * x * x * x * x;\n },\n easeOutQuint(x: number): number {\n return 1 - Math.pow(1 - x, 5);\n },\n easeInOutQuint(x: number): number {\n return x < 0.5 ? 16 * x * x * x * x * x : 1 - Math.pow(-2 * x + 2, 5) / 2;\n },\n easeInExpo(x: number): number {\n return x === 0 ? 0 : Math.pow(2, 10 * x - 10);\n },\n easeOutExpo(x: number): number {\n return x === 1 ? 1 : 1 - Math.pow(2, -10 * x);\n },\n easeInOutExpo(x: number): number {\n return x === 0\n ? 0\n : x === 1\n ? 1\n : x < 0.5\n ? 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}, - "node_modules/zustand": { - "version": "3.7.2", - "resolved": "https://registry.npmjs.org/zustand/-/zustand-3.7.2.tgz", - "integrity": "sha512-PIJDIZKtokhof+9+60cpockVOq05sJzHCriyvaLBmEJixseQ1a5Kdov6fWZfWOu5SK9c+FhH1jU0tntLxRJYMA==", - "peer": true, - "engines": { - "node": ">=12.7.0" - }, - "peerDependencies": { - "react": ">=16.8" - }, - "peerDependenciesMeta": { - "react": { - "optional": true - } - } } } } diff --git a/packages/use-shader-fx/package.json b/packages/use-shader-fx/package.json index 92802dfd..bed1764e 100644 --- a/packages/use-shader-fx/package.json +++ b/packages/use-shader-fx/package.json @@ -1,6 +1,6 @@ { "name": "@funtech-inc/use-shader-fx", - "version": "1.1.43", + "version": "2.0.5", "description": "⚡️ More FXs, Less GLSL", "main": "./build/use-shader-fx.umd.cjs", "module": "./build/use-shader-fx.js", @@ -36,7 +36,6 @@ "devDependencies": { "@types/node": "20.5.6", "@types/react": "18.2.21", - "@types/react-dom": "18.2.7", "@types/three": "^0.164.0", "eslint": "8.47.0", "raw-loader": "^4.0.2", @@ -45,10 +44,7 @@ "vite-plugin-glsl": "^1.1.2" }, "peerDependencies": { - "@react-three/fiber": ">=8.13.0", - "react": ">=18.0", - "react-dom": ">=18.0", "three": ">=0.155.0", - "three-stdlib": ">=2.29.5" + "react": ">=18.0" } } diff --git a/packages/use-shader-fx/src/fxs/3D/types/index.ts b/packages/use-shader-fx/src/fxs/3D/types/index.ts deleted file mode 100644 index 9233ccf0..00000000 --- a/packages/use-shader-fx/src/fxs/3D/types/index.ts +++ /dev/null @@ -1,12 +0,0 @@ -import * as THREE from "three"; -import { HooksProps, MaterialProps } from "../../types"; - -export interface HooksProps3D extends HooksProps { - /** For 3D series, you should use the r3f camera as it is as the camera passed to renderTarget. */ - camera: THREE.Camera; -} - -export interface Create3DHooksProps extends MaterialProps { - /** You can put the r3f scene in, or if you don't want to add to any scene, you can pass nothing and it will just return the object without putting it in the scene, default : `false` */ - scene?: THREE.Scene | false; -} diff --git a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/index.ts b/packages/use-shader-fx/src/fxs/3D/useMorphParticles/index.ts deleted file mode 100644 index e05cce6d..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/index.ts +++ /dev/null @@ -1,186 +0,0 @@ -import * as THREE from "three"; -import { useCallback, useMemo } from "react"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { HooksReturn } from "../../types"; -import { - useCreateMorphParticles, - UseCreateMorphParticlesProps, -} from "./useCreateMorphParticles"; -import { HooksProps3D } from "../types"; -import { InteractiveMesh, MorphParticlePoints } from "./utils/useCreateObject"; -import { getDpr } from "../../../utils/getDpr"; -import { CustomParams } from "../../../utils/setUniforms"; - -export type MorphParticlesParams = { - /** progress value to morph vertices,0~1 */ - morphProgress?: number; - blurAlpha?: number; - blurRadius?: number; - pointSize?: number; - /** default : `1` */ - pointAlpha?: number; - /** Since the color is extracted based on the attribute `uv`, the intended behavior will not occur if there is no uv in the attribute. */ - picture?: THREE.Texture | false; - /** The alpha map is a grayscale texture that controls the opacity across the surface (black: fully transparent; white: fully opaque). use the green channel when sampling this texture. It also affects the size of the point. default : `false` */ - alphaPicture?: THREE.Texture | false; - color0?: THREE.Color; - color1?: THREE.Color; - color2?: THREE.Color; - color3?: THREE.Color; - /** This maps to point,texture */ - map?: THREE.Texture | false; - /** The alpha map is a grayscale texture that controls the opacity across the surface (black: fully transparent; white: fully opaque). use the green channel when sampling this texture. default : `false` */ - alphaMap?: THREE.Texture | false; - /** If ​​wobbleStrength is set to 0, wobble will stop. It will also affect noise calculation, default : `0` */ - wobbleStrength?: number; - wobblePositionFrequency?: number; - wobbleTimeFrequency?: number; - /** default : `0` */ - warpStrength?: number; - warpPositionFrequency?: number; - warpTimeFrequency?: number; - /** Manipulate the vertices using the color channels of this texture. The strength of the displacement changes depending on the g channel of this texture */ - displacement?: THREE.Texture | false; - /** Strength of displacement. The strength of displacement depends on g ch, but is the value multiplied by it , default : `1` */ - displacementIntensity?: number; - /** Strength to reflect color ch of displacement texture */ - displacementColorIntensity?: number; - /** If set to 0, noise calculation stops, default : `0` */ - sizeRandomIntensity?: number; - sizeRandomTimeFrequency?: number; - sizeRandomMin?: number; - sizeRandomMax?: number; - /** Divergence rate of a point. Negative cases are dense, positive cases are divergent, default : `0` */ - divergence?: number; - /** Divergence centre point, default : `THREE.Vector3(0)` */ - divergencePoint?: THREE.Vector3; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; -}; - -export type MorphParticlesObject = { - scene: THREE.Scene; - points: MorphParticlePoints; - interactiveMesh: InteractiveMesh; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; - positions: Float32Array[]; - uvs: Float32Array[]; -}; - -export const MORPHPARTICLES_PARAMS: MorphParticlesParams = Object.freeze({ - morphProgress: 0, - blurAlpha: 0.9, - blurRadius: 0.05, - pointSize: 0.05, - pointAlpha: 1, - picture: false, - alphaPicture: false, - color0: new THREE.Color(0xff0000), - color1: new THREE.Color(0x00ff00), - color2: new THREE.Color(0x0000ff), - color3: new THREE.Color(0xffff00), - map: false, - alphaMap: false, - wobbleStrength: 0.0, - wobblePositionFrequency: 0.5, - wobbleTimeFrequency: 0.5, - warpStrength: 0.0, - warpPositionFrequency: 0.5, - warpTimeFrequency: 0.5, - displacement: false, - displacementIntensity: 1, - displacementColorIntensity: 0, - sizeRandomIntensity: 0, - sizeRandomTimeFrequency: 0.2, - sizeRandomMin: 0.5, - sizeRandomMax: 1.5, - divergence: 0, - divergencePoint: new THREE.Vector3(0), - beat: false, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx - */ -export const useMorphParticles = ({ - size, - dpr, - isSizeUpdate, - renderTargetOptions, - camera, - geometry, - positions, - uvs, - onBeforeInit, -}: HooksProps3D & UseCreateMorphParticlesProps): HooksReturn< - MorphParticlesParams, - MorphParticlesObject, - CustomParams -> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - - const [ - updateUniform, - { - points, - interactiveMesh, - positions: generatedPositions, - uvs: generatedUvs, - }, - ] = useCreateMorphParticles({ - scene, - size, - dpr, - geometry, - positions, - uvs, - onBeforeInit, - }); - - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - depthBuffer: true, - ...renderTargetOptions, - }); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: MorphParticlesParams, - customParams?: CustomParams - ) => { - updateUniform(rootState, newParams, customParams); - return updateRenderTarget(rootState.gl); - }, - [updateRenderTarget, updateUniform] - ); - - const updateParams = useCallback( - (newParams?: MorphParticlesParams, customParams?: CustomParams) => { - updateUniform(null, newParams, customParams); - }, - [updateUniform] - ); - - return [ - updateFx, - updateParams, - { - scene, - points, - interactiveMesh, - renderTarget, - output: renderTarget.texture, - positions: generatedPositions, - uvs: generatedUvs, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/shaders/main.frag b/packages/use-shader-fx/src/fxs/3D/useMorphParticles/shaders/main.frag deleted file mode 100644 index 5cfb445f..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/shaders/main.frag +++ /dev/null @@ -1,43 +0,0 @@ -precision highp float; -precision highp int; - -varying vec3 vColor; -varying float vPictureAlpha; -varying vec3 vDisplacementColor; -varying float vDisplacementIntensity; -varying float vMapArrayIndex; - -uniform float uBlurAlpha; -uniform float uBlurRadius; -uniform sampler2D uMap; -uniform bool uIsMap; -uniform sampler2D uAlphaMap; -uniform bool uIsAlphaMap; -uniform float uDisplacementColorIntensity; -uniform float uPointAlpha; - -#usf <mapArrayUniforms> - -void main() { - vec2 uv = gl_PointCoord; - uv.y = 1.0 - uv.y; - - // make it a circle - float distanceToCenter = length(uv - .5); - float alpha = clamp(uBlurRadius / distanceToCenter - (1.-uBlurAlpha) , 0. , 1.); - - // Map if there is a map - vec4 mapArrayColor; - #usf <mapArraySwitcher> - vec4 mapColor = isMapArray ? mapArrayColor : uIsMap ? texture2D(uMap,uv) : vec4(1.); - vec3 finalColor = isMapArray || uIsMap ? mapColor.rgb : vColor; - - // Mix with finalColor if displacement is true - float mixIntensity = clamp(uDisplacementColorIntensity * vDisplacementIntensity,0.,1.); - finalColor = vDisplacementIntensity > 0. ? mix(finalColor,vDisplacementColor,mixIntensity) : finalColor; - - // get alpha map - float alphaMap = uIsAlphaMap ? texture2D(uAlphaMap,uv).g : 1.; - - gl_FragColor = vec4(finalColor,alpha * vPictureAlpha * alphaMap * mapColor.a * uPointAlpha); -} diff --git a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/shaders/main.vert b/packages/use-shader-fx/src/fxs/3D/useMorphParticles/shaders/main.vert deleted file mode 100644 index 3796ec60..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/shaders/main.vert +++ /dev/null @@ -1,104 +0,0 @@ -uniform vec2 uResolution; -uniform float uMorphProgress; -uniform float uPointSize; - -uniform sampler2D uPicture; -uniform bool uIsPicture; -uniform sampler2D uAlphaPicture; -uniform bool uIsAlphaPicture; - -uniform vec3 uColor0; -uniform vec3 uColor1; -uniform vec3 uColor2; -uniform vec3 uColor3; - -uniform float uTime; - -uniform float uWobblePositionFrequency; -uniform float uWobbleTimeFrequency; -uniform float uWobbleStrength; -uniform float uWarpPositionFrequency; -uniform float uWarpTimeFrequency; -uniform float uWarpStrength; - -uniform sampler2D uDisplacement; -uniform bool uIsDisplacement; -uniform float uDisplacementIntensity; - -uniform float uSizeRandomIntensity; -uniform float uSizeRandomTimeFrequency; -uniform float uSizeRandomMin; -uniform float uSizeRandomMax; - -uniform float uMapArrayLength; - -uniform float uDivergence; -uniform vec3 uDivergencePoint; - -varying vec3 vColor; -varying float vPictureAlpha; -varying vec3 vDisplacementColor; -varying float vDisplacementIntensity; -varying float vMapArrayIndex; - -#usf <morphPositions> - -#usf <morphUvs> - -#usf <wobble3D> - -float random3D(vec3 co) { - return fract(sin(dot(co.xyz ,vec3(12.9898, 78.233, 45.764))) * 43758.5453); -} - -void main() { - vec3 newPosition = position; - vec2 newUv = uv; - - #usf <morphPositionTransition> - #usf <morphUvTransition> - - // displacement for `newPosition` - vec3 displacement = uIsDisplacement ? texture2D(uDisplacement, newUv).rgb : vec3(0.0); - float displacementIntensity = smoothstep(0., 1., displacement.g); - vDisplacementColor = displacement; - vDisplacementIntensity = displacementIntensity; - - // At this point displacement is 0 ~ 1, so normalize it to -1 ~ 1 - displacement = displacement * 2.-1.; - displacement *= displacementIntensity * uDisplacementIntensity; - newPosition += displacement; - - // divergence - vec3 divergenceDir = newPosition - uDivergencePoint; - if (uDivergence > 0.0) { - newPosition += normalize(divergenceDir) * uDivergence; - } else if (uDivergence < 0.0) { - newPosition -= normalize(divergenceDir) * abs(uDivergence); - } - - // Final position - vec4 modelPosition = modelMatrix * vec4(newPosition, 1.0); - vec4 viewPosition = viewMatrix * modelPosition; - vec4 projectedPosition = projectionMatrix * viewPosition; - - // wobble ※Do not calculate noise if uWobbleStrength is 0 - float wobble = uWobbleStrength > 0. ? getWobble(projectedPosition.xyz) : 0.0; - - gl_Position = projectedPosition += wobble; - - // If picture is true then display picture, otherwise 4 color linear interpolation - vColor = uIsPicture ? texture2D(uPicture, newUv).rgb : mix(mix(uColor0, uColor1, newPosition.x), mix(uColor2, uColor3, newPosition.y), newPosition.z); - - // Set Alpha on picture's g channel - vPictureAlpha = uIsAlphaPicture ? texture2D(uAlphaPicture, newUv).g : 1.; - - // Multiply the point size by picturAalpha. The size can also be adjusted with alphaMap. - // If uSizeRandomTimeFrequency is greater than 0, the size will be randomly changed - float sizeRand = uSizeRandomIntensity > 0. ? mix(uSizeRandomMin,uSizeRandomMax,(simplexNoise4d(vec4(newPosition,uTime * uSizeRandomTimeFrequency))*.5+.5)) * uSizeRandomIntensity : 1.; - gl_PointSize = uPointSize * vPictureAlpha * uResolution.y * sizeRand; - gl_PointSize *= (1.0 / - viewPosition.z); - - // mapArrayIndex - vMapArrayIndex = uMapArrayLength > 0. ? floor(random3D(position) * uMapArrayLength) : 0.; -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/useCreateMorphParticles.ts b/packages/use-shader-fx/src/fxs/3D/useMorphParticles/useCreateMorphParticles.ts deleted file mode 100644 index c38a5fc1..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/useCreateMorphParticles.ts +++ /dev/null @@ -1,175 +0,0 @@ -import * as THREE from "three"; -import { RootState } from "@react-three/fiber"; -import { - InteractiveMesh, - MorphParticlePoints, - useCreateObject, -} from "./utils/useCreateObject"; -import { useMaterial } from "./utils/useMaterial"; -import { MorphParticlesParams } from "."; -import { - setUniform, - CustomParams, - setCustomUniform, -} from "../../../utils/setUniforms"; -import { useCallback, useMemo } from "react"; -import { Create3DHooksProps } from "../types"; -import { Dpr, Size } from "../../types"; -import { getDpr } from "../../../utils/getDpr"; - -export type UseCreateMorphParticlesProps = { - size: Size; - dpr: Dpr; - /** default : `THREE.SphereGeometry(1, 32, 32)` */ - geometry?: THREE.BufferGeometry; - positions?: Float32Array[]; - uvs?: Float32Array[]; - /** Array of textures to map to points. Mapped at random. */ - mapArray?: THREE.Texture[]; -}; - -type UpdateUniform = ( - rootState: RootState | null, - newParams?: MorphParticlesParams, - customParams?: CustomParams -) => void; - -type UseCreateMorphParticlesReturn = [ - UpdateUniform, - { - points: MorphParticlePoints; - interactiveMesh: InteractiveMesh; - positions: Float32Array[]; - uvs: Float32Array[]; - } -]; - -export const useCreateMorphParticles = ({ - size, - dpr, - scene = false, - geometry, - positions, - uvs, - mapArray, - onBeforeInit, -}: Create3DHooksProps & - UseCreateMorphParticlesProps): UseCreateMorphParticlesReturn => { - const _dpr = getDpr(dpr); - - const morphGeometry = useMemo(() => { - const geo = geometry || new THREE.SphereGeometry(1, 32, 32); - geo.setIndex(null); - // Since it is a particle, normal is not necessary - geo.deleteAttribute("normal"); - return geo; - }, [geometry]); - - const { material, modifiedPositions, modifiedUvs } = useMaterial({ - size, - dpr: _dpr.shader, - geometry: morphGeometry, - positions, - uvs, - mapArray, - onBeforeInit, - }); - - const { points, interactiveMesh } = useCreateObject({ - scene, - geometry: morphGeometry, - material, - }); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateUniform = useCallback<UpdateUniform>( - (rootState, newParams, customParams) => { - if (rootState) { - updateValue( - "uTime", - newParams?.beat || rootState.clock.getElapsedTime() - ); - } - if (newParams === undefined) { - return; - } - updateValue("uMorphProgress", newParams.morphProgress); - updateValue("uBlurAlpha", newParams.blurAlpha); - updateValue("uBlurRadius", newParams.blurRadius); - updateValue("uPointSize", newParams.pointSize); - updateValue("uPointAlpha", newParams.pointAlpha); - if (newParams.picture) { - updateValue("uPicture", newParams.picture); - updateValue("uIsPicture", true); - } else if (newParams.picture === false) { - updateValue("uIsPicture", false); - } - if (newParams.alphaPicture) { - updateValue("uAlphaPicture", newParams.alphaPicture); - updateValue("uIsAlphaPicture", true); - } else if (newParams.alphaPicture === false) { - updateValue("uIsAlphaPicture", false); - } - updateValue("uColor0", newParams.color0); - updateValue("uColor1", newParams.color1); - updateValue("uColor2", newParams.color2); - updateValue("uColor3", newParams.color3); - if (newParams.map) { - updateValue("uMap", newParams.map); - updateValue("uIsMap", true); - } else if (newParams.map === false) { - updateValue("uIsMap", false); - } - if (newParams.alphaMap) { - updateValue("uAlphaMap", newParams.alphaMap); - updateValue("uIsAlphaMap", true); - } else if (newParams.alphaMap === false) { - updateValue("uIsAlphaMap", false); - } - updateValue("uWobbleStrength", newParams.wobbleStrength); - updateValue( - "uWobblePositionFrequency", - newParams.wobblePositionFrequency - ); - updateValue("uWobbleTimeFrequency", newParams.wobbleTimeFrequency); - updateValue("uWarpStrength", newParams.warpStrength); - updateValue("uWarpPositionFrequency", newParams.warpPositionFrequency); - updateValue("uWarpTimeFrequency", newParams.warpTimeFrequency); - if (newParams.displacement) { - updateValue("uDisplacement", newParams.displacement); - updateValue("uIsDisplacement", true); - } else if (newParams.displacement === false) { - updateValue("uIsDisplacement", false); - } - updateValue("uDisplacementIntensity", newParams.displacementIntensity); - updateValue( - "uDisplacementColorIntensity", - newParams.displacementColorIntensity - ); - updateValue("uSizeRandomIntensity", newParams.sizeRandomIntensity); - updateValue( - "uSizeRandomTimeFrequency", - newParams.sizeRandomTimeFrequency - ); - updateValue("uSizeRandomMin", newParams.sizeRandomMin); - updateValue("uSizeRandomMax", newParams.sizeRandomMax); - updateValue("uDivergence", newParams.divergence); - updateValue("uDivergencePoint", newParams.divergencePoint); - - updateCustomValue(customParams); - }, - [updateValue, updateCustomValue] - ); - - return [ - updateUniform, - { - points, - interactiveMesh, - positions: modifiedPositions, - uvs: modifiedUvs, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/modifyAttributes.ts b/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/modifyAttributes.ts deleted file mode 100644 index d2b10d95..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/modifyAttributes.ts +++ /dev/null @@ -1,43 +0,0 @@ -import * as THREE from "three"; - -/** - * Calculate the maximum length of attribute (position and uv) to match the length of all lists. Randomly map missing attributes when matching to maximum length - * */ -export const modifyAttributes = ( - attribute: Float32Array[] | undefined, - targetGeometry: THREE.BufferGeometry, - targetAttibute: "position" | "uv", - itemSize: number -) => { - let modifiedAttribute: Float32Array[] = []; - if (attribute && attribute.length > 0) { - if (targetGeometry?.attributes[targetAttibute]?.array) { - modifiedAttribute = [ - targetGeometry.attributes[targetAttibute].array as Float32Array, - ...attribute, - ]; - } else { - modifiedAttribute = attribute; - } - - const maxLength = Math.max(...modifiedAttribute.map((arr) => arr.length)); - - modifiedAttribute.forEach((arr, i) => { - if (arr.length < maxLength) { - const diff = (maxLength - arr.length) / itemSize; - const addArray = []; - const oldArray = Array.from(arr); - for (let i = 0; i < diff; i++) { - const randomIndex = - Math.floor((arr.length / itemSize) * Math.random()) * - itemSize; - for (let j = 0; j < itemSize; j++) { - addArray.push(oldArray[randomIndex + j]); - } - } - modifiedAttribute[i] = new Float32Array([...oldArray, ...addArray]); - } - }); - } - return modifiedAttribute; -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/rewriteFragmentShader.ts b/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/rewriteFragmentShader.ts deleted file mode 100644 index c4eb2c47..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/rewriteFragmentShader.ts +++ /dev/null @@ -1,34 +0,0 @@ -import * as THREE from "three"; - -export const rewriteFragmentShader = ( - mapArray: THREE.Texture[] | undefined, - fragmentShader: string -) => { - let mapArrayShader = ""; - const mapArrayUniforms: any = {}; - let textureSwitcherCode = "mapArrayColor = "; - - if (mapArray && mapArray.length > 0) { - mapArray.forEach((map, index) => { - const condition = `vMapArrayIndex < ${index}.1`; // Comparison with a number with .1 added as the handling of floating points may vary between GPU drivers - const action = `texture2D(uMapArray${index}, uv)`; - textureSwitcherCode += `( ${condition} ) ? ${action} : `; - mapArrayShader += ` - uniform sampler2D uMapArray${index}; - `; - mapArrayUniforms[`uMapArray${index}`] = { value: map }; - }); - textureSwitcherCode += "vec4(1.);"; - mapArrayShader += `bool isMapArray = true;`; - mapArrayUniforms["uMapArrayLength"] = { value: mapArray.length }; - } else { - textureSwitcherCode += "vec4(1.0);"; - mapArrayShader += `bool isMapArray = false;`; - mapArrayUniforms["uMapArrayLength"] = { value: 0 }; - } - const rewritedFragmentShader = fragmentShader - .replace(`#usf <mapArraySwitcher>`, textureSwitcherCode) - .replace(`#usf <mapArrayUniforms>`, mapArrayShader); - - return { rewritedFragmentShader, mapArrayUniforms }; -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/rewriteVertexShader.ts b/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/rewriteVertexShader.ts deleted file mode 100644 index da097c29..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/rewriteVertexShader.ts +++ /dev/null @@ -1,81 +0,0 @@ -import * as THREE from "three"; -import { ISDEV } from "../../../../libs/constants"; - -export const rewriteVertexShader = ( - modifeidAttributes: Float32Array[], - targetGeometry: THREE.BufferGeometry, - targetAttibute: "position" | "uv", - vertexShader: string, - itemSize: number -) => { - const vTargetName = - targetAttibute === "position" ? "positionTarget" : "uvTarget"; - const vAttributeRewriteKey = - targetAttibute === "position" - ? "#usf <morphPositions>" - : "#usf <morphUvs>"; - const vTransitionRewriteKey = - targetAttibute === "position" - ? "#usf <morphPositionTransition>" - : "#usf <morphUvTransition>"; - const vListName = - targetAttibute === "position" ? "positionsList" : "uvsList"; - const vMorphTransition = - targetAttibute === "position" - ? ` - float scaledProgress = uMorphProgress * ${modifeidAttributes.length - 1}.; - int baseIndex = int(floor(scaledProgress)); - baseIndex = clamp(baseIndex, 0, ${modifeidAttributes.length - 1}); - float progress = fract(scaledProgress); - int nextIndex = baseIndex + 1; - newPosition = mix(positionsList[baseIndex], positionsList[nextIndex], progress); - ` - : "newUv = mix(uvsList[baseIndex], uvsList[nextIndex], progress);"; - - if (modifeidAttributes.length > 0) { - // Delete the position at initialization and add the position after normalization - targetGeometry.deleteAttribute(targetAttibute); - targetGeometry.setAttribute( - targetAttibute, - new THREE.BufferAttribute(modifeidAttributes[0], itemSize) - ); - - let stringToAddToMorphAttibutes = ""; - let stringToAddToMorphAttibutesList = ""; - - modifeidAttributes.forEach((target, index) => { - targetGeometry.setAttribute( - `${vTargetName}${index}`, - new THREE.BufferAttribute(target, itemSize) - ); - stringToAddToMorphAttibutes += `attribute vec${itemSize} ${vTargetName}${index};\n`; - if (index === 0) { - stringToAddToMorphAttibutesList += `${vTargetName}${index}`; - } else { - stringToAddToMorphAttibutesList += `,${vTargetName}${index}`; - } - }); - - vertexShader = vertexShader.replace( - `${vAttributeRewriteKey}`, - stringToAddToMorphAttibutes - ); - vertexShader = vertexShader.replace( - `${vTransitionRewriteKey}`, - `vec${itemSize} ${vListName}[${modifeidAttributes.length}] = vec${itemSize}[](${stringToAddToMorphAttibutesList}); - ${vMorphTransition} - ` - ); - } else { - vertexShader = vertexShader.replace(`${vAttributeRewriteKey}`, ""); - vertexShader = vertexShader.replace(`${vTransitionRewriteKey}`, ""); - if (!targetGeometry?.attributes[targetAttibute]?.array) { - ISDEV && - console.error( - `use-shader-fx:geometry.attributes.${targetAttibute}.array is not found` - ); - } - } - - return vertexShader; -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/useCreateObject.ts b/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/useCreateObject.ts deleted file mode 100644 index 71cadaac..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/useCreateObject.ts +++ /dev/null @@ -1,45 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import { useAddObject } from "../../../../utils/useAddObject"; - -type UseCreateObjectProps = { - scene: THREE.Scene | false; - geometry: THREE.BufferGeometry; - material: THREE.ShaderMaterial; -}; - -export type MorphParticlePoints = THREE.Points< - THREE.BufferGeometry<THREE.NormalBufferAttributes>, - THREE.ShaderMaterial ->; -export type InteractiveMesh = THREE.Mesh< - THREE.BufferGeometry<THREE.NormalBufferAttributes>, - THREE.ShaderMaterial ->; - -export const useCreateObject = ({ - scene, - geometry, - material, -}: UseCreateObjectProps) => { - const points = useAddObject( - scene, - geometry, - material, - THREE.Points - ) as MorphParticlePoints; - - // Generate a mesh for pointer - const interactiveMesh = useAddObject( - scene, - useMemo(() => geometry.clone(), [geometry]), - useMemo(() => material.clone(), [material]), - THREE.Mesh - ) as InteractiveMesh; - interactiveMesh.visible = false; - - return { - points, - interactiveMesh, - }; -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/useMaterial.ts b/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/useMaterial.ts deleted file mode 100644 index 389def90..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useMorphParticles/utils/useMaterial.ts +++ /dev/null @@ -1,201 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import { useResolution } from "../../../../utils/useResolution"; -import { setUniform } from "../../../../utils/setUniforms"; -import vertexShader from "../shaders/main.vert"; -import fragmentShader from "../shaders/main.frag"; -import { MORPHPARTICLES_PARAMS } from ".."; -import { - DEFAULT_TEXTURE, - ISDEV, - MATERIAL_BASIC_PARAMS, -} from "../../../../libs/constants"; -import { rewriteVertexShader } from "./rewriteVertexShader"; -import { modifyAttributes } from "./modifyAttributes"; -import { rewriteFragmentShader } from "./rewriteFragmentShader"; -import { MaterialProps, Size } from "../../../types"; -import { createMaterialParameters } from "../../../../utils/createMaterialParameters"; - -export class MorphParticlesMaterial extends THREE.ShaderMaterial { - uniforms!: { - uResolution: { value: THREE.Vector2 }; - uMorphProgress: { value: number }; - uBlurAlpha: { value: number }; - uBlurRadius: { value: number }; - uPointSize: { value: number }; - uPointAlpha: { value: number }; - uPicture: { value: THREE.Texture }; - uIsPicture: { value: boolean }; - uAlphaPicture: { value: THREE.Texture }; - uIsAlphaPicture: { value: boolean }; - uColor0: { value: THREE.Color }; - uColor1: { value: THREE.Color }; - uColor2: { value: THREE.Color }; - uColor3: { value: THREE.Color }; - uMap: { value: THREE.Texture }; - uIsMap: { value: boolean }; - uAlphaMap: { value: THREE.Texture }; - uIsAlphaMap: { value: boolean }; - uTime: { value: number }; - uWobblePositionFrequency: { value: number }; - uWobbleTimeFrequency: { value: number }; - uWobbleStrength: { value: number }; - uWarpPositionFrequency: { value: number }; - uWarpTimeFrequency: { value: number }; - uWarpStrength: { value: number }; - uDisplacement: { value: THREE.Texture }; - uIsDisplacement: { value: boolean }; - uDisplacementIntensity: { value: number }; - uDisplacementColorIntensity: { value: number }; - uSizeRandomIntensity: { value: number }; - uSizeRandomTimeFrequency: { value: number }; - uSizeRandomMin: { value: number }; - uSizeRandomMax: { value: number }; - uDivergence: { value: number }; - uDivergencePoint: { value: THREE.Vector3 }; - }; -} - -export const useMaterial = ({ - size, - dpr, - geometry, - positions, - uvs, - mapArray, - onBeforeInit, -}: { - size: Size; - dpr: number | false; - geometry: THREE.BufferGeometry; - positions?: Float32Array[]; - uvs?: Float32Array[]; - mapArray?: THREE.Texture[]; -} & MaterialProps) => { - const modifiedPositions = useMemo( - () => modifyAttributes(positions, geometry, "position", 3), - [positions, geometry] - ); - - const modifiedUvs = useMemo( - () => modifyAttributes(uvs, geometry, "uv", 2), - [uvs, geometry] - ); - - const material = useMemo(() => { - if (modifiedPositions.length !== modifiedUvs.length) { - ISDEV && - console.log("use-shader-fx:positions and uvs are not matched"); - } - - // vertex - const rewritedVertexShader = rewriteVertexShader( - modifiedUvs, - geometry, - "uv", - rewriteVertexShader( - modifiedPositions, - geometry, - "position", - vertexShader, - 3 - ), - 2 - ); - - // fragment - const { rewritedFragmentShader, mapArrayUniforms } = - rewriteFragmentShader(mapArray, fragmentShader); - - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uResolution: { value: new THREE.Vector2(0, 0) }, - uMorphProgress: { - value: MORPHPARTICLES_PARAMS.morphProgress, - }, - uBlurAlpha: { value: MORPHPARTICLES_PARAMS.blurAlpha }, - uBlurRadius: { value: MORPHPARTICLES_PARAMS.blurRadius }, - uPointSize: { value: MORPHPARTICLES_PARAMS.pointSize }, - uPointAlpha: { value: MORPHPARTICLES_PARAMS.pointAlpha }, - uPicture: { value: DEFAULT_TEXTURE }, - uIsPicture: { value: false }, - uAlphaPicture: { value: DEFAULT_TEXTURE }, - uIsAlphaPicture: { value: false }, - uColor0: { value: MORPHPARTICLES_PARAMS.color0 }, - uColor1: { value: MORPHPARTICLES_PARAMS.color1 }, - uColor2: { value: MORPHPARTICLES_PARAMS.color2 }, - uColor3: { value: MORPHPARTICLES_PARAMS.color3 }, - uMap: { value: DEFAULT_TEXTURE }, - uIsMap: { value: false }, - uAlphaMap: { value: DEFAULT_TEXTURE }, - uIsAlphaMap: { value: false }, - uTime: { value: 0 }, - uWobblePositionFrequency: { - value: MORPHPARTICLES_PARAMS.wobblePositionFrequency, - }, - uWobbleTimeFrequency: { - value: MORPHPARTICLES_PARAMS.wobbleTimeFrequency, - }, - uWobbleStrength: { - value: MORPHPARTICLES_PARAMS.wobbleStrength, - }, - uWarpPositionFrequency: { - value: MORPHPARTICLES_PARAMS.warpPositionFrequency, - }, - uWarpTimeFrequency: { - value: MORPHPARTICLES_PARAMS.warpTimeFrequency, - }, - uWarpStrength: { value: MORPHPARTICLES_PARAMS.warpStrength }, - uDisplacement: { value: DEFAULT_TEXTURE }, - uIsDisplacement: { value: false }, - uDisplacementIntensity: { - value: MORPHPARTICLES_PARAMS.displacementIntensity, - }, - uDisplacementColorIntensity: { - value: MORPHPARTICLES_PARAMS.displacementColorIntensity, - }, - uSizeRandomIntensity: { - value: MORPHPARTICLES_PARAMS.sizeRandomIntensity, - }, - uSizeRandomTimeFrequency: { - value: MORPHPARTICLES_PARAMS.sizeRandomTimeFrequency, - }, - uSizeRandomMin: { - value: MORPHPARTICLES_PARAMS.sizeRandomMin, - }, - uSizeRandomMax: { - value: MORPHPARTICLES_PARAMS.sizeRandomMax, - }, - uDivergence: { value: MORPHPARTICLES_PARAMS.divergence }, - uDivergencePoint: { - value: MORPHPARTICLES_PARAMS.divergencePoint, - }, - ...mapArrayUniforms, - }, - vertexShader: rewritedVertexShader, - fragmentShader: rewritedFragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - blending: THREE.AdditiveBlending, - // Must be transparent - transparent: true, - }); - - return mat; - }, [ - geometry, - modifiedPositions, - modifiedUvs, - mapArray, - onBeforeInit, - ]) as MorphParticlesMaterial; - - const resolution = useResolution(size, dpr); - setUniform(material)("uResolution", resolution.clone()); - - return { material, modifiedPositions, modifiedUvs }; -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useWobble3D/index.ts b/packages/use-shader-fx/src/fxs/3D/useWobble3D/index.ts deleted file mode 100644 index f9df5e59..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useWobble3D/index.ts +++ /dev/null @@ -1,158 +0,0 @@ -import * as THREE from "three"; -import { useCallback, useMemo } from "react"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { HooksReturn } from "../../types"; -import { useCreateWobble3D, UseCreateWobble3DProps } from "./useCreateWobble3D"; -import { WobbleMaterialProps, WobbleMaterialConstructor } from "./useMaterial"; -import { HooksProps3D } from "../types"; -import { getDpr } from "../../../utils/getDpr"; -import { CustomParams } from "../../../utils/setUniforms"; - -export type Wobble3DParams = { - /** default : `0.3` */ - wobbleStrength?: number; - /** default : `0.3` */ - wobblePositionFrequency?: number; - /** default : `0.3` */ - wobbleTimeFrequency?: number; - /** default : `0.3` */ - warpStrength?: number; - /** default : `0.3` */ - warpPositionFrequency?: number; - /** default : `0.3` */ - warpTimeFrequency?: number; - color0?: THREE.Color; - color1?: THREE.Color; - color2?: THREE.Color; - color3?: THREE.Color; - /** Mixing ratio with the material's original output color, 0~1 , defaulat : `1` */ - colorMix?: number; - /** Threshold of edge. 0 for edge disabled, default : `0` */ - edgeThreshold?: number; - /** Color of edge. default : `0x000000` */ - edgeColor?: THREE.Color; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */ - chromaticAberration?: number; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */ - anisotropicBlur?: number; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.0` */ - distortion?: number; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */ - distortionScale?: number; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.0` */ - temporalDistortion?: number; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `6` */ - refractionSamples?: number; -}; - -export type Wobble3DObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - depthMaterial: THREE.MeshDepthMaterial | null; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const WOBBLE3D_PARAMS: Wobble3DParams = Object.freeze({ - wobbleStrength: 0.3, - wobblePositionFrequency: 0.3, - wobbleTimeFrequency: 0.3, - warpStrength: 0.3, - warpPositionFrequency: 0.3, - warpTimeFrequency: 0.3, - color0: new THREE.Color(0xff0000), - color1: new THREE.Color(0x00ff00), - color2: new THREE.Color(0x0000ff), - color3: new THREE.Color(0xffff00), - colorMix: 1, - edgeThreshold: 0.0, - edgeColor: new THREE.Color(0x000000), - chromaticAberration: 0.1, - anisotropicBlur: 0.1, - distortion: 0.0, - distortionScale: 0.1, - temporalDistortion: 0.0, - refractionSamples: 6, - beat: false, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx - */ -export const useWobble3D = <T extends WobbleMaterialConstructor>({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - camera, - geometry, - baseMaterial, - materialParameters, - isCustomTransmission, - onBeforeInit, - depthOnBeforeInit, - depth, -}: HooksProps3D & UseCreateWobble3DProps & WobbleMaterialProps<T>): HooksReturn< - Wobble3DParams, - Wobble3DObject, - CustomParams -> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - - const [updateUniform, { mesh, depthMaterial }] = useCreateWobble3D({ - baseMaterial, - materialParameters, - scene, - geometry, - isCustomTransmission, - onBeforeInit, - depthOnBeforeInit, - depth, - }); - - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - depthBuffer: true, - ...renderTargetOptions, - }); - - const updateFx = useCallback( - ( - RootState: RootState, - newParams?: Wobble3DParams, - customParams?: CustomParams - ) => { - updateUniform(RootState, newParams, customParams); - return updateRenderTarget(RootState.gl); - }, - [updateRenderTarget, updateUniform] - ); - - const updateParams = useCallback( - (newParams?: Wobble3DParams, customParams?: CustomParams) => { - updateUniform(null, newParams, customParams); - }, - [updateUniform] - ); - - return [ - updateFx, - updateParams, - { - scene, - mesh, - depthMaterial, - renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useWobble3D/shaders/transmission_fragment.glsl b/packages/use-shader-fx/src/fxs/3D/useWobble3D/shaders/transmission_fragment.glsl deleted file mode 100644 index b5917c25..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useWobble3D/shaders/transmission_fragment.glsl +++ /dev/null @@ -1,74 +0,0 @@ -#ifdef USE_TRANSMISSION - -material.transmission = _transmission; -material.transmissionAlpha = 1.0; -material.thickness = thickness; -material.attenuationDistance = attenuationDistance; -material.attenuationColor = attenuationColor; - -#ifdef USE_TRANSMISSIONMAP - - material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r; - -#endif - -#ifdef USE_THICKNESSMAP - - material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g; - -#endif - -vec3 pos = vWorldPosition; - -vec3 v = normalize( cameraPosition - pos ); -vec3 n = inverseTransformDirection( normal, viewMatrix ); - -vec4 transmitted = getIBLVolumeRefraction( - n, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness, - material.attenuationColor, material.attenuationDistance ); - -material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission ); - -// Custom from here -float runningSeed = 0.0; -vec3 transmission = vec3(0.0); -float transmissionR, transmissionB, transmissionG; -float randomCoords = rand(runningSeed++); -float thickness_smear = thickness * max(pow(roughnessFactor, 0.33), uAnisotropicBlur); -vec3 distortionNormal = vec3(0.0); -vec3 temporalOffset = vec3(uTime, -uTime, -uTime) * uTemporalDistortion; - -if (uDistortion > 0.0) { - distortionNormal = uDistortion * vec3(snoiseFractal(vec3((pos * uDistortionScale + temporalOffset))), snoiseFractal(vec3(pos.zxy * uDistortionScale - temporalOffset)), snoiseFractal(vec3(pos.yxz * uDistortionScale + temporalOffset))); -} - -for (float i = 0.0; i < uRefractionSamples; i ++) { - vec3 sampleNorm = normalize(n + roughnessFactor * roughnessFactor * 2.0 * normalize(vec3(rand(runningSeed++) - 0.5, rand(runningSeed++) - 0.5, rand(runningSeed++) - 0.5)) * pow(rand(runningSeed++), 0.33) + distortionNormal); - - transmissionR = getIBLVolumeRefraction( - sampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples, - material.attenuationColor, material.attenuationDistance - ).r; - transmissionG = getIBLVolumeRefraction( - sampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior * (1.0 + uChromaticAberration * (i + randomCoords) / uRefractionSamples) , material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples, - material.attenuationColor, material.attenuationDistance - ).g; - transmissionB = getIBLVolumeRefraction( - sampleNorm, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, - pos, modelMatrix, viewMatrix, projectionMatrix, material.ior * (1.0 + 2.0 * uChromaticAberration * (i + randomCoords) / uRefractionSamples), material.thickness + thickness_smear * (i + randomCoords) / uRefractionSamples, - material.attenuationColor, material.attenuationDistance - ).b; - transmission.r += transmissionR; - transmission.g += transmissionG; - transmission.b += transmissionB; -} - -transmission /= uRefractionSamples; -// to here - -totalDiffuse = mix( totalDiffuse, transmission.rgb, material.transmission ); - -#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/3D/useWobble3D/shaders/transmission_pars_fragment.glsl b/packages/use-shader-fx/src/fxs/3D/useWobble3D/shaders/transmission_pars_fragment.glsl deleted file mode 100644 index 74524a3d..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useWobble3D/shaders/transmission_pars_fragment.glsl +++ /dev/null @@ -1,199 +0,0 @@ -#ifdef USE_TRANSMISSION - - // Transmission code is based on glTF-Sampler-Viewer - // https://github.com/KhronosGroup/glTF-Sample-Viewer - - uniform float _transmission; - uniform float thickness; - uniform float attenuationDistance; - uniform vec3 attenuationColor; - - #ifdef USE_TRANSMISSIONMAP - - uniform sampler2D transmissionMap; - - #endif - - #ifdef USE_THICKNESSMAP - - uniform sampler2D thicknessMap; - - #endif - - uniform vec2 transmissionSamplerSize; - uniform sampler2D transmissionSamplerMap; - - uniform mat4 modelMatrix; - uniform mat4 projectionMatrix; - - varying vec3 vWorldPosition; - - // Mipped Bicubic Texture Filtering by N8 - // https://www.shadertoy.com/view/Dl2SDW - - float w0( float a ) { - - return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 ); - - } - - float w1( float a ) { - - return ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 ); - - } - - float w2( float a ){ - - return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 ); - - } - - float w3( float a ) { - - return ( 1.0 / 6.0 ) * ( a * a * a ); - - } - - // g0 and g1 are the two amplitude functions - float g0( float a ) { - - return w0( a ) + w1( a ); - - } - - float g1( float a ) { - - return w2( a ) + w3( a ); - - } - - // h0 and h1 are the two offset functions - float h0( float a ) { - - return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) ); - - } - - float h1( float a ) { - - return 1.0 + w3( a ) / ( w2( a ) + w3( a ) ); - - } - - vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) { - - uv = uv * texelSize.zw + 0.5; - - vec2 iuv = floor( uv ); - vec2 fuv = fract( uv ); - - float g0x = g0( fuv.x ); - float g1x = g1( fuv.x ); - float h0x = h0( fuv.x ); - float h1x = h1( fuv.x ); - float h0y = h0( fuv.y ); - float h1y = h1( fuv.y ); - - vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; - vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; - vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; - vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; - - return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) + - g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) ); - - } - - vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) { - - vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) ); - vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) ); - vec2 fLodSizeInv = 1.0 / fLodSize; - vec2 cLodSizeInv = 1.0 / cLodSize; - vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) ); - vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) ); - return mix( fSample, cSample, fract( lod ) ); - - } - - vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) { - - // Direction of refracted light. - vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior ); - - // Compute rotation-independant scaling of the model matrix. - vec3 modelScale; - modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) ); - modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) ); - modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) ); - - // The thickness is specified in local space. - return normalize( refractionVector ) * thickness * modelScale; - - } - - float applyIorToRoughness( const in float roughness, const in float ior ) { - - // Scale roughness with IOR so that an IOR of 1.0 results in no microfacet refraction and - // an IOR of 1.5 results in the default amount of microfacet refraction. - return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 ); - - } - - vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) { - - float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior ); - return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod ); - - } - - vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) { - - if ( isinf( attenuationDistance ) ) { - - // Attenuation distance is +∞, i.e. the transmitted color is not attenuated at all. - return vec3( 1.0 ); - - } else { - - // Compute light attenuation using Beer's law. - vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance; - vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); // Beer's law - return transmittance; - - } - - } - - vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor, - const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix, - const in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness, - const in vec3 attenuationColor, const in float attenuationDistance ) { - - vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix ); - vec3 refractedRayExit = position + transmissionRay; - - // Project refracted vector on the framebuffer, while mapping to normalized device coordinates. - vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); - vec2 refractionCoords = ndcPos.xy / ndcPos.w; - refractionCoords += 1.0; - refractionCoords /= 2.0; - - // Sample framebuffer to get pixel the refracted ray hits. - vec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior ); - - vec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance ); - vec3 attenuatedColor = transmittance * transmittedLight.rgb; - - // Get the specular component. - vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness ); - - // As less light is transmitted, the opacity should be increased. This simple approximation does a decent job - // of modulating a CSS background, and has no effect when the buffer is opaque, due to a solid object or clear color. - float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0; - - return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor ); - - } -#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/3D/useWobble3D/useCreateWobble3D.ts b/packages/use-shader-fx/src/fxs/3D/useWobble3D/useCreateWobble3D.ts deleted file mode 100644 index 45619cd0..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useWobble3D/useCreateWobble3D.ts +++ /dev/null @@ -1,119 +0,0 @@ -import * as THREE from "three"; -import { RootState } from "@react-three/fiber"; -import { mergeVertices } from "three-stdlib"; -import { - useMaterial, - Wobble3DMaterial, - WobbleMaterialProps, - WobbleMaterialConstructor, -} from "./useMaterial"; -import { Wobble3DParams } from "."; -import { - setUniform, - setCustomUniform, - CustomParams, -} from "../../../utils/setUniforms"; -import { useCallback, useMemo } from "react"; -import { useAddObject } from "../../../utils/useAddObject"; -import { Create3DHooksProps } from "../types"; - -export type UseCreateWobble3DProps = { - /** default : `THREE.IcosahedronGeometry(2,20)` */ - geometry?: THREE.BufferGeometry; -}; - -type UpdateUniform = ( - rootState: RootState | null, - newParams?: Wobble3DParams, - customParams?: CustomParams -) => void; - -type UseCreateWobble3DReturn<T> = [ - UpdateUniform, - { - mesh: THREE.Mesh; - depthMaterial: THREE.MeshDepthMaterial | null; - } -]; - -export const useCreateWobble3D = <T extends WobbleMaterialConstructor>({ - scene = false, - geometry, - isCustomTransmission, - baseMaterial, - materialParameters, - depth, - onBeforeInit, - depthOnBeforeInit, -}: UseCreateWobble3DProps & - Create3DHooksProps & - WobbleMaterialProps<T>): UseCreateWobble3DReturn<T> => { - const wobbleGeometry = useMemo(() => { - let geo = geometry || new THREE.IcosahedronGeometry(2, 20); - geo = mergeVertices(geo); - geo.computeTangents(); - return geo; - }, [geometry]); - const { material, depthMaterial } = useMaterial({ - baseMaterial, - materialParameters, - isCustomTransmission, - onBeforeInit, - depthOnBeforeInit, - depth, - }); - - const mesh = useAddObject(scene, wobbleGeometry, material, THREE.Mesh); - - const userData = material.userData as Wobble3DMaterial; - - const updateValue = setUniform(userData); - const updateCustomValue = setCustomUniform(userData); - - const updateUniform = useCallback<UpdateUniform>( - (rootState, newParams, customParams) => { - if (rootState) { - updateValue( - "uTime", - newParams?.beat || rootState.clock.getElapsedTime() - ); - } - if (newParams === undefined) { - return; - } - updateValue("uWobbleStrength", newParams.wobbleStrength); - updateValue( - "uWobblePositionFrequency", - newParams.wobblePositionFrequency - ); - updateValue("uWobbleTimeFrequency", newParams.wobbleTimeFrequency); - updateValue("uWarpStrength", newParams.warpStrength); - updateValue("uWarpPositionFrequency", newParams.warpPositionFrequency); - updateValue("uWarpTimeFrequency", newParams.warpTimeFrequency); - updateValue("uColor0", newParams.color0); - updateValue("uColor1", newParams.color1); - updateValue("uColor2", newParams.color2); - updateValue("uColor3", newParams.color3); - updateValue("uColorMix", newParams.colorMix); - updateValue("uEdgeThreshold", newParams.edgeThreshold); - updateValue("uEdgeColor", newParams.edgeColor); - updateValue("uChromaticAberration", newParams.chromaticAberration); - updateValue("uAnisotropicBlur", newParams.anisotropicBlur); - updateValue("uDistortion", newParams.distortion); - updateValue("uDistortionScale", newParams.distortionScale); - updateValue("uRefractionSamples", newParams.refractionSamples); - updateValue("uTemporalDistortion", newParams.temporalDistortion); - - updateCustomValue(customParams); - }, - [updateValue, updateCustomValue] - ); - - return [ - updateUniform, - { - mesh, - depthMaterial, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useWobble3D/useMaterial.ts b/packages/use-shader-fx/src/fxs/3D/useWobble3D/useMaterial.ts deleted file mode 100644 index a94c246a..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useWobble3D/useMaterial.ts +++ /dev/null @@ -1,169 +0,0 @@ -import * as THREE from "three"; -import { useEffect, useMemo } from "react"; -import { WOBBLE3D_PARAMS } from "."; -import { MaterialProps, OnBeforeInitParameters } from "../../types"; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; -import { rewriteVertexShader } from "./utils/rewriteVertexShader"; -import { rewriteFragmentShader } from "./utils/rewriteFragmentShader"; -import { resolveEachMaterial } from "./utils/resolveEachMaterial"; - -export class Wobble3DMaterial extends THREE.Material { - uniforms!: { - uTime: { value: number }; - uWobblePositionFrequency: { value: number }; - uWobbleTimeFrequency: { value: number }; - uWobbleStrength: { value: number }; - uWarpPositionFrequency: { value: number }; - uWarpTimeFrequency: { value: number }; - uWarpStrength: { value: number }; - uColor0: { value: THREE.Color }; - uColor1: { value: THREE.Color }; - uColor2: { value: THREE.Color }; - uColor3: { value: THREE.Color }; - uColorMix: { value: number }; - uEdgeThreshold: { value: number }; - uEdgeColor: { value: THREE.Color }; - uChromaticAberration: { value: number }; - uAnisotropicBlur: { value: number }; - uDistortion: { value: number }; - uDistortionScale: { value: number }; - uTemporalDistortion: { value: number }; - uRefractionSamples: { value: number }; - }; -} - -export type WobbleMaterialConstructor = new (opts: { - [key: string]: any; -}) => THREE.Material; - -type WobbleMaterialParams<T extends WobbleMaterialConstructor> = - ConstructorParameters<T>[0]; - -export interface WobbleMaterialProps<T extends WobbleMaterialConstructor> - extends MaterialProps { - /** default:THREE.MeshPhysicalMaterial */ - baseMaterial?: T; - materialParameters?: WobbleMaterialParams<T>; - depthOnBeforeInit?: (parameters: OnBeforeInitParameters) => void; - /** - * Whether to apply more advanced `transmission` or not. valid only for `MeshPhysicalMaterial`. This is a function referring to `drei/MeshTransmissionMaterial`, default : `false` - * @link https://github.com/pmndrs/drei?tab=readme-ov-file#meshtransmissionmaterial - * */ - isCustomTransmission?: boolean; - /** Whether to initialise `MeshDepthMaterial` or not , default : `false` */ - depth?: boolean; -} - -export const useMaterial = <T extends WobbleMaterialConstructor>({ - baseMaterial, - materialParameters, - isCustomTransmission = false, - onBeforeInit, - depthOnBeforeInit, - depth = false, -}: WobbleMaterialProps<T>) => { - const { material, depthMaterial } = useMemo(() => { - const mat = new (baseMaterial || THREE.MeshPhysicalMaterial)( - materialParameters || {} - ); - - Object.assign(mat.userData, { - uniforms: { - uTime: { value: 0 }, - uWobblePositionFrequency: { - value: WOBBLE3D_PARAMS.wobblePositionFrequency, - }, - uWobbleTimeFrequency: { - value: WOBBLE3D_PARAMS.wobbleTimeFrequency, - }, - uWobbleStrength: { value: WOBBLE3D_PARAMS.wobbleStrength }, - uWarpPositionFrequency: { - value: WOBBLE3D_PARAMS.warpPositionFrequency, - }, - uWarpTimeFrequency: { value: WOBBLE3D_PARAMS.warpTimeFrequency }, - uWarpStrength: { value: WOBBLE3D_PARAMS.warpStrength }, - uColor0: { value: WOBBLE3D_PARAMS.color0 }, - uColor1: { value: WOBBLE3D_PARAMS.color1 }, - uColor2: { value: WOBBLE3D_PARAMS.color2 }, - uColor3: { value: WOBBLE3D_PARAMS.color3 }, - uColorMix: { value: WOBBLE3D_PARAMS.colorMix }, - uEdgeThreshold: { value: WOBBLE3D_PARAMS.edgeThreshold }, - uEdgeColor: { value: WOBBLE3D_PARAMS.edgeColor }, - uChromaticAberration: { - value: WOBBLE3D_PARAMS.chromaticAberration, - }, - uAnisotropicBlur: { value: WOBBLE3D_PARAMS.anisotropicBlur }, - uDistortion: { value: WOBBLE3D_PARAMS.distortion }, - uDistortionScale: { value: WOBBLE3D_PARAMS.distortionScale }, - uTemporalDistortion: { value: WOBBLE3D_PARAMS.temporalDistortion }, - uRefractionSamples: { value: WOBBLE3D_PARAMS.refractionSamples }, - transmission: { value: 0 }, - _transmission: { value: 1 }, - transmissionMap: { value: null }, - }, - }); - - mat.onBeforeCompile = (parameters) => { - rewriteVertexShader(parameters); - - rewriteFragmentShader(parameters); - - resolveEachMaterial({ - parameters, - mat, - isCustomTransmission, - }); - - const cutomizedParams = createMaterialParameters( - { - fragmentShader: parameters.fragmentShader, - vertexShader: parameters.vertexShader, - // Because wobble3D uses userData to update uniforms. - uniforms: mat.userData.uniforms, - }, - onBeforeInit - ); - parameters.fragmentShader = cutomizedParams.fragmentShader; - parameters.vertexShader = cutomizedParams.vertexShader; - Object.assign(parameters.uniforms, cutomizedParams.uniforms); - }; - mat.needsUpdate = true; - - /*=============================================== - depthMaterial - ===============================================*/ - let depthMat = null; - if (depth) { - depthMat = new THREE.MeshDepthMaterial({ - depthPacking: THREE.RGBADepthPacking, - }); - depthMat.onBeforeCompile = (parameters) => { - Object.assign(parameters.uniforms, mat.userData.uniforms); - rewriteVertexShader(parameters); - createMaterialParameters(parameters, depthOnBeforeInit); - }; - depthMat.needsUpdate = true; - } - - return { material: mat, depthMaterial: depthMat }; - }, [ - materialParameters, - baseMaterial, - onBeforeInit, - depthOnBeforeInit, - isCustomTransmission, - depth, - ]); - - // Only the depthMaterial is disposed of because the material is disposed of by useAddObject. - useEffect(() => { - return () => { - if (depthMaterial) depthMaterial.dispose(); - }; - }, [depthMaterial]); - - return { - material: material as Wobble3DMaterial, - depthMaterial, - }; -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useWobble3D/utils/resolveEachMaterial.ts b/packages/use-shader-fx/src/fxs/3D/useWobble3D/utils/resolveEachMaterial.ts deleted file mode 100644 index 0c1870b6..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useWobble3D/utils/resolveEachMaterial.ts +++ /dev/null @@ -1,38 +0,0 @@ -import * as THREE from "three"; -import transmission_pars_fragment from "../shaders/transmission_pars_fragment.glsl"; -import transmission_fragment from "../shaders/transmission_fragment.glsl"; - -export const resolveEachMaterial = ({ - mat, - isCustomTransmission, - parameters, -}: { - mat: THREE.Material; - isCustomTransmission: boolean; - parameters: THREE.WebGLProgramParametersWithUniforms; -}) => { - // custom transmission - if (mat.type === "MeshPhysicalMaterial" && isCustomTransmission) { - parameters.fragmentShader = parameters.fragmentShader.replace( - "#include <transmission_pars_fragment>", - `${transmission_pars_fragment}` - ); - - parameters.fragmentShader = parameters.fragmentShader.replace( - "#include <transmission_fragment>", - `${transmission_fragment}` - ); - } - - // if normalMap is defined, don't add tangent attribute - if (!(mat as any).normalMap) { - parameters.vertexShader = parameters.vertexShader.replace( - "void main() {", - ` - attribute vec4 tangent; - - void main() { - ` - ); - } -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useWobble3D/utils/rewriteFragmentShader.ts b/packages/use-shader-fx/src/fxs/3D/useWobble3D/utils/rewriteFragmentShader.ts deleted file mode 100644 index a7b0f2a9..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useWobble3D/utils/rewriteFragmentShader.ts +++ /dev/null @@ -1,59 +0,0 @@ -import * as THREE from "three"; - -export const rewriteFragmentShader = ( - parameters: THREE.WebGLProgramParametersWithUniforms -) => { - // diffuse color , Manipulate color mixing ratio with `uColorMix` - parameters.fragmentShader = parameters.fragmentShader.replace( - "#include <color_fragment>", - ` - #include <color_fragment> - - if (uEdgeThreshold > 0.0) { - float edgeThreshold = dot(vEdgeNormal, -vEdgeViewPosition); - diffuseColor = edgeThreshold < uEdgeThreshold ? vec4(uEdgeColor, 1.0) : mix(diffuseColor, usf_DiffuseColor, uColorMix); - } else { - diffuseColor = mix(diffuseColor, usf_DiffuseColor, uColorMix); - } - ` - ); - - parameters.fragmentShader = parameters.fragmentShader.replace( - "void main() {", - ` - uniform vec3 uColor0; - uniform vec3 uColor1; - uniform vec3 uColor2; - uniform vec3 uColor3; - uniform float uColorMix; - uniform float uEdgeThreshold; - uniform vec3 uEdgeColor; - - // transmission - uniform float uChromaticAberration; - uniform float uAnisotropicBlur; - uniform float uTime; - uniform float uDistortion; - uniform float uDistortionScale; - uniform float uTemporalDistortion; - uniform float uRefractionSamples; - - float rand(float n){return fract(sin(n) * 43758.5453123);} - - #usf <snoise> - - varying float vWobble; - varying vec2 vPosition; - varying vec3 vEdgeNormal; - varying vec3 vEdgeViewPosition; - - void main(){ - - vec4 usf_DiffuseColor = vec4(1.0); - float colorWobbleMix = smoothstep(-1.,1.,vWobble); - vec2 colorPosMix = vec2(smoothstep(-1.,1.,vPosition.x),smoothstep(-1.,1.,vPosition.y)); - - usf_DiffuseColor.rgb = mix(mix(uColor0, uColor1, colorPosMix.x), mix(uColor2, uColor3, colorPosMix.y), colorWobbleMix); - ` - ); -}; diff --git a/packages/use-shader-fx/src/fxs/3D/useWobble3D/utils/rewriteVertexShader.ts b/packages/use-shader-fx/src/fxs/3D/useWobble3D/utils/rewriteVertexShader.ts deleted file mode 100644 index ed84e6e6..00000000 --- a/packages/use-shader-fx/src/fxs/3D/useWobble3D/utils/rewriteVertexShader.ts +++ /dev/null @@ -1,84 +0,0 @@ -import * as THREE from "three"; - -export const rewriteVertexShader = ( - parameters: THREE.WebGLProgramParametersWithUniforms -) => { - const isDepth = parameters.shaderType === "MeshDepthMaterial"; - - parameters.vertexShader = parameters.vertexShader.replace( - "#include <beginnormal_vertex>", - ` - vec3 objectNormal = usf_Normal; - #ifdef USE_TANGENT - vec3 objectTangent = vec3( tangent.xyz ); - #endif - ` - ); - - parameters.vertexShader = parameters.vertexShader.replace( - "#include <begin_vertex>", - ` - vec3 transformed = usf_Position; - #ifdef USE_ALPHAHASH - vPosition = vec3( position ); - #endif - ` - ); - - parameters.vertexShader = parameters.vertexShader.replace( - "void main() {", - ` - uniform float uTime; - uniform float uWobblePositionFrequency; - uniform float uWobbleTimeFrequency; - uniform float uWobbleStrength; - uniform float uWarpPositionFrequency; - uniform float uWarpTimeFrequency; - uniform float uWarpStrength; - - ${isDepth ? "attribute vec4 tangent;" : ""} - - varying float vWobble; - varying vec2 vPosition; - - // edge - varying vec3 vEdgeNormal; - varying vec3 vEdgeViewPosition; - - #usf <wobble3D> - - void main() { - - vec3 usf_Position = position; - vec3 usf_Normal = normal; - vec3 biTangent = cross(normal, tangent.xyz); - - // Neighbours positions - float shift = 0.01; - vec3 positionA = usf_Position + tangent.xyz * shift; - vec3 positionB = usf_Position + biTangent * shift; - - // wobble - float wobble = (uWobbleStrength > 0.) ? getWobble(usf_Position) : 0.0; - float wobblePositionA = (uWobbleStrength > 0.) ? getWobble(positionA) : 0.0; - float wobblePositionB = (uWobbleStrength > 0.) ? getWobble(positionB) : 0.0; - - usf_Position += wobble * normal; - positionA += wobblePositionA * normal; - positionB += wobblePositionB * normal; - - // Compute normal - vec3 toA = normalize(positionA - usf_Position); - vec3 toB = normalize(positionB - usf_Position); - usf_Normal = cross(toA, toB); - - // Varying - vPosition = usf_Position.xy; - vWobble = wobble/uWobbleStrength; - - vEdgeNormal = normalize(normalMatrix * usf_Normal); - vec4 viewPosition = viewMatrix * modelMatrix * vec4(usf_Position, 1.0); - vEdgeViewPosition = normalize(viewPosition.xyz); - ` - ); -}; diff --git a/packages/use-shader-fx/src/fxs/blank/useBlank/index.ts b/packages/use-shader-fx/src/fxs/blank/useBlank/index.ts deleted file mode 100755 index 1eeb85fa..00000000 --- a/packages/use-shader-fx/src/fxs/blank/useBlank/index.ts +++ /dev/null @@ -1,131 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { RootState } from "@react-three/fiber"; -import { BlankMaterial, useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { useDoubleFBO, DoubleRenderTarget } from "../../../utils/useDoubleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { useParams } from "../../../utils/useParams"; -import type { HooksProps, HooksReturn } from "../../types"; -import { getDpr } from "../../../utils/getDpr"; -import { UseFboProps } from "../../.."; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type BlankParams = { - /** texture, default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; -}; - -export type BlankObject = { - scene: THREE.Scene; - mesh: THREE.Mesh< - THREE.BufferGeometry<THREE.NormalBufferAttributes>, - BlankMaterial - >; - material: BlankMaterial; - camera: THREE.Camera; - renderTarget: DoubleRenderTarget; - output: THREE.Texture; -}; - -export const BLANK_PARAMS: BlankParams = Object.freeze({ - texture: DEFAULT_TEXTURE, - beat: false, -}); - -/** - * By default, it is a blank canvas with nothing drawn on it. You can customise the shaders using `onBeforeCompile`. - * Fragment shaders have `uTexture`,`uBackbuffer`,`uTime`,`uPointer` and `uResolution` as default uniforms. - * - * ※ `usf_FragColor` overrides `gl_FragColor` - * - * ※ `usf_Position` overrides `gl_Position` - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useBlank = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn<BlankParams, BlankObject, CustomParams> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - - const { material, mesh } = useMesh({ - scene, - size, - dpr: _dpr.shader, - onBeforeInit, - }); - - const camera = useCamera(size); - - const fboProps = useMemo( - () => ({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }), - [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions] - ) as UseFboProps; - - const [renderTarget, updateRenderTarget] = useDoubleFBO(fboProps); - - const [params, setParams] = useParams<BlankParams>(BLANK_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: BlankParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: BlankParams, - customParams?: CustomParams - ) => { - const { gl, clock, pointer } = rootState; - - updateParams(newParams, customParams); - - updateValue("uPointer", pointer); - updateValue("uTexture", params.texture!); - updateValue("uTime", params.beat || clock.getElapsedTime()); - - return updateRenderTarget(gl, ({ read }) => { - updateValue("uBackbuffer", read); - }); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.read.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/blank/useBlank/shader/main.frag b/packages/use-shader-fx/src/fxs/blank/useBlank/shader/main.frag deleted file mode 100755 index 4ab4f143..00000000 --- a/packages/use-shader-fx/src/fxs/blank/useBlank/shader/main.frag +++ /dev/null @@ -1,20 +0,0 @@ -precision highp float; - -varying vec2 vUv; -#usf <varyings> - -uniform sampler2D uTexture; -uniform sampler2D uBackbuffer; -uniform float uTime; -uniform vec2 uPointer; -uniform vec2 uResolution; - -#usf <uniforms> - -void main() { - vec4 usf_FragColor = vec4(1.); - - #usf <main> - - gl_FragColor = usf_FragColor; -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/blank/useBlank/shader/main.vert b/packages/use-shader-fx/src/fxs/blank/useBlank/shader/main.vert deleted file mode 100755 index 7c0bb967..00000000 --- a/packages/use-shader-fx/src/fxs/blank/useBlank/shader/main.vert +++ /dev/null @@ -1,15 +0,0 @@ -precision highp float; - -varying vec2 vUv; -#usf <varyings> - -#usf <uniforms> - -void main() { - vec4 usf_Position = vec4(position,1.); - vUv = uv; - - #usf <main> - - gl_Position = usf_Position; -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/blank/useBlank/useMesh.ts b/packages/use-shader-fx/src/fxs/blank/useBlank/useMesh.ts deleted file mode 100755 index 7fa81be9..00000000 --- a/packages/use-shader-fx/src/fxs/blank/useBlank/useMesh.ts +++ /dev/null @@ -1,61 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps, Size } from "../../types"; -import { setUniform, useResolution } from "../../.."; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class BlankMaterial extends THREE.ShaderMaterial { - uniforms!: { - uTexture: { value: THREE.Texture }; - uBackbuffer: { value: THREE.Texture }; - uTime: { value: number }; - uPointer: { value: THREE.Vector2 }; - uResolution: { value: THREE.Vector2 }; - }; -} -export const useMesh = ({ - scene, - size, - dpr, - onBeforeInit, -}: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uTexture: { value: DEFAULT_TEXTURE }, - uBackbuffer: { value: DEFAULT_TEXTURE }, - uTime: { value: 0 }, - uPointer: { value: new THREE.Vector2() }, - uResolution: { value: new THREE.Vector2() }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]) as BlankMaterial; - - const resolution = useResolution(size, dpr); - setUniform(material)("uResolution", resolution.clone()); - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/blank/useRawBlank/index.ts b/packages/use-shader-fx/src/fxs/blank/useRawBlank/index.ts deleted file mode 100755 index e54280d7..00000000 --- a/packages/use-shader-fx/src/fxs/blank/useRawBlank/index.ts +++ /dev/null @@ -1,117 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { RootState } from "@react-three/fiber"; -import { RawBlankMaterial, useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { CustomParams, setCustomUniform } from "../../../utils/setUniforms"; -import type { HooksProps, HooksReturn } from "../../types"; -import { getDpr } from "../../../utils/getDpr"; -import { UseFboProps, useSingleFBO } from "../../../utils/useSingleFBO"; - -export type RawBlankParams = {}; - -export type RawBlankObject = { - scene: THREE.Scene; - mesh: THREE.Mesh< - THREE.BufferGeometry<THREE.NormalBufferAttributes>, - RawBlankMaterial - >; - material: RawBlankMaterial; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const RAWBLANK_PARAMS: RawBlankParams = Object.freeze({}); - -/** - * By default, it is a blank canvas with nothing drawn on it. You can customise the shaders using `onBeforeCompile`. - * Fragment shaders have `uResolution` as default uniforms. - * - * ※ `usf_FragColor` overrides `gl_FragColor` - * - * ※ `usf_Position` overrides `gl_Position` - * - * `RawBlankParams` is an empty object. so you can't pass any parameters to second argument. Nothing will happen if you pass them. - * ```tsx - * useFrame((state) => { - update( - state, - {}, - { - uTime: state.clock.getElapsedTime(), - } - ); - }); - * ``` - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useRawBlank = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn<RawBlankParams, RawBlankObject, CustomParams> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - - const { material, mesh } = useMesh({ - scene, - size, - dpr: _dpr.shader, - onBeforeInit, - }); - - const camera = useCamera(size); - - const fboProps = useMemo( - () => ({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }), - [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions] - ) as UseFboProps; - - const [renderTarget, updateRenderTarget] = useSingleFBO(fboProps); - - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: RawBlankParams, customParams?: CustomParams) => { - updateCustomValue(customParams); - }, - [updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: RawBlankParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - updateParams(newParams, customParams); - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/blank/useRawBlank/shader/main.frag b/packages/use-shader-fx/src/fxs/blank/useRawBlank/shader/main.frag deleted file mode 100755 index 17fd006e..00000000 --- a/packages/use-shader-fx/src/fxs/blank/useRawBlank/shader/main.frag +++ /dev/null @@ -1,16 +0,0 @@ -precision highp float; - -varying vec2 vUv; -#usf <varyings> - -uniform vec2 uResolution; - -#usf <uniforms> - -void main() { - vec4 usf_FragColor = vec4(1.); - - #usf <main> - - gl_FragColor = usf_FragColor; -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/blank/useRawBlank/shader/main.vert b/packages/use-shader-fx/src/fxs/blank/useRawBlank/shader/main.vert deleted file mode 100755 index 7c0bb967..00000000 --- a/packages/use-shader-fx/src/fxs/blank/useRawBlank/shader/main.vert +++ /dev/null @@ -1,15 +0,0 @@ -precision highp float; - -varying vec2 vUv; -#usf <varyings> - -#usf <uniforms> - -void main() { - vec4 usf_Position = vec4(position,1.); - vUv = uv; - - #usf <main> - - gl_Position = usf_Position; -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/blank/useRawBlank/useMesh.ts b/packages/use-shader-fx/src/fxs/blank/useRawBlank/useMesh.ts deleted file mode 100755 index 8b6da05e..00000000 --- a/packages/use-shader-fx/src/fxs/blank/useRawBlank/useMesh.ts +++ /dev/null @@ -1,50 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps, Size } from "../../types"; -import { setUniform, useResolution } from "../../.."; -import { MATERIAL_BASIC_PARAMS } from "../../../libs/constants"; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class RawBlankMaterial extends THREE.ShaderMaterial { - uniforms!: { - uResolution: { value: THREE.Vector2 }; - }; -} -export const useMesh = ({ - scene, - size, - dpr, - onBeforeInit, -}: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uResolution: { value: new THREE.Vector2() }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]) as RawBlankMaterial; - - const resolution = useResolution(size, dpr); - setUniform(material)("uResolution", resolution.clone()); - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/effects/useMotionBlur/index.ts b/packages/use-shader-fx/src/fxs/effects/useMotionBlur/index.ts deleted file mode 100755 index 283d1b5d..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useMotionBlur/index.ts +++ /dev/null @@ -1,126 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { RootState } from "@react-three/fiber"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { useDoubleFBO, DoubleRenderTarget } from "../../../utils/useDoubleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { useParams } from "../../../utils/useParams"; -import type { HooksProps, HooksReturn } from "../../types"; -import { getDpr } from "../../../utils/getDpr"; -import { UseFboProps } from "../../.."; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type MotionBlurParams = { - /** Make this texture blur, default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** motion begin, default : `THREE.Vector2(0, 0)` */ - begin?: THREE.Vector2; - /** motion end, default : `THREE.Vector2(0, 0)` */ - end?: THREE.Vector2; - /** motion strength, default : `0.9` */ - strength?: number; -}; - -export type MotionBlurObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: DoubleRenderTarget; - output: THREE.Texture; -}; - -export const MOTIONBLUR_PARAMS: MotionBlurParams = Object.freeze({ - texture: DEFAULT_TEXTURE, - begin: new THREE.Vector2(0, 0), - end: new THREE.Vector2(0, 0), - strength: 0.9, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useMotionBlur = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn< - MotionBlurParams, - MotionBlurObject, - CustomParams -> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ scene, onBeforeInit }); - const camera = useCamera(size); - - const fboProps = useMemo( - () => ({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }), - [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions] - ) as UseFboProps; - - const [renderTarget, updateRenderTarget] = useDoubleFBO(fboProps); - - const [params, setParams] = useParams<MotionBlurParams>(MOTIONBLUR_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: MotionBlurParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: MotionBlurParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("uTexture", params.texture!); - updateValue("uBegin", params.begin!); - updateValue("uEnd", params.end!); - updateValue("uStrength", params.strength!); - - return updateRenderTarget(gl, ({ read }) => { - updateValue("uBackbuffer", read); - }); - }, - [updateRenderTarget, updateValue, updateParams, params] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.read.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/effects/useMotionBlur/shader/main.frag b/packages/use-shader-fx/src/fxs/effects/useMotionBlur/shader/main.frag deleted file mode 100755 index 4bfb677b..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useMotionBlur/shader/main.frag +++ /dev/null @@ -1,16 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform sampler2D uTexture; -uniform sampler2D uBackbuffer; -uniform vec2 uBegin; -uniform vec2 uEnd; -uniform float uStrength; - -void main() { - vec2 uv = vUv; - vec4 current = texture2D(uTexture, uv + uBegin*.1); - vec4 back = texture2D(uBackbuffer, uv + uEnd*.1); - vec4 mixed = mix(current,back,uStrength); - gl_FragColor = mixed; -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/effects/useMotionBlur/shader/main.vert b/packages/use-shader-fx/src/fxs/effects/useMotionBlur/shader/main.vert deleted file mode 100755 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useMotionBlur/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/effects/useMotionBlur/useMesh.ts b/packages/use-shader-fx/src/fxs/effects/useMotionBlur/useMesh.ts deleted file mode 100755 index 48ca9453..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useMotionBlur/useMesh.ts +++ /dev/null @@ -1,53 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MOTIONBLUR_PARAMS } from "."; -import { MaterialProps } from "../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class MotionBlurMaterial extends THREE.ShaderMaterial { - uniforms!: { - uTexture: { value: THREE.Texture }; - uBackbuffer: { value: THREE.Texture }; - uBegin: { value: THREE.Vector2 }; - uEnd: { value: THREE.Vector2 }; - uStrength: { value: number }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { scene: THREE.Scene } & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uTexture: { value: DEFAULT_TEXTURE }, - uBackbuffer: { value: DEFAULT_TEXTURE }, - uBegin: { value: MOTIONBLUR_PARAMS.begin }, - uEnd: { value: MOTIONBLUR_PARAMS.end }, - uStrength: { value: MOTIONBLUR_PARAMS.strength }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]) as MotionBlurMaterial; - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/index.ts b/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/index.ts deleted file mode 100755 index 7d68e513..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/index.ts +++ /dev/null @@ -1,128 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { RootState } from "@react-three/fiber"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { useDoubleFBO, DoubleRenderTarget } from "../../../utils/useDoubleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { useParams } from "../../../utils/useParams"; -import type { HooksProps, HooksReturn } from "../../types"; -import { getDpr } from "../../../utils/getDpr"; -import { UseFboProps } from "../../.."; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type SimpleBlurParams = { - /** Make this texture blur , default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** blurSize, default : `3` */ - blurSize?: number; - /** blurPower, affects performance default : `5` */ - blurPower?: number; -}; - -export type SimpleBlurObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: DoubleRenderTarget; - output: THREE.Texture; -}; - -export const SIMPLEBLUR_PARAMS: SimpleBlurParams = Object.freeze({ - texture: DEFAULT_TEXTURE, - blurSize: 3, - blurPower: 5, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useSimpleBlur = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn< - SimpleBlurParams, - SimpleBlurObject, - CustomParams -> => { - const _dpr = getDpr(dpr); - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ scene, onBeforeInit }); - const camera = useCamera(size); - - const fboProps = useMemo( - () => ({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }), - [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions] - ) as UseFboProps; - - const [renderTarget, updateTempTexture] = useDoubleFBO(fboProps); - const [params, setParams] = useParams<SimpleBlurParams>(SIMPLEBLUR_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: SimpleBlurParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: SimpleBlurParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("uTexture", params.texture!); - updateValue("uResolution", [ - params.texture!?.source?.data?.width || 0, - params.texture!?.source?.data?.height || 0, - ]); - updateValue("uBlurSize", params.blurSize!); - - let _tempTexture: THREE.Texture = updateTempTexture(gl); - - for (let i = 0; i < params.blurPower!; i++) { - updateValue("uTexture", _tempTexture); - _tempTexture = updateTempTexture(gl); - } - - return _tempTexture; - }, - [updateTempTexture, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.read.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/shader/main.frag b/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/shader/main.frag deleted file mode 100755 index 1dd7078e..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/shader/main.frag +++ /dev/null @@ -1,26 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform sampler2D uTexture; -uniform vec2 uResolution; -uniform float uBlurSize; - -void main() { - vec2 uv = vUv; - vec2 perDivSize = uBlurSize / uResolution; - - // calc average color value from adjacent point - vec4 outColor = vec4( - texture2D(uTexture, uv + perDivSize * vec2(-1.0, -1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(0.0, -1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(1.0, -1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(-1.0, 0.0)) + - texture2D(uTexture, uv + perDivSize * vec2(0.0, 0.0)) + - texture2D(uTexture, uv + perDivSize * vec2(1.0, 0.0)) + - texture2D(uTexture, uv + perDivSize * vec2(-1.0, 1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(0.0, 1.0)) + - texture2D(uTexture, uv + perDivSize * vec2(1.0, 1.0)) - ) / 9.0; - - gl_FragColor = outColor; -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/shader/main.vert b/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/shader/main.vert deleted file mode 100755 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/useMesh.ts b/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/useMesh.ts deleted file mode 100755 index ccbc9314..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useSimpleBlur/useMesh.ts +++ /dev/null @@ -1,50 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { SIMPLEBLUR_PARAMS } from "."; -import { MaterialProps } from "../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class SampleMaterial extends THREE.ShaderMaterial { - uniforms!: { - uTexture: { value: THREE.Texture }; - uResolution: { value: THREE.Vector2 }; - uBlurSize: { value: number }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { scene: THREE.Scene } & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uTexture: { value: DEFAULT_TEXTURE }, - uResolution: { value: new THREE.Vector2(0, 0) }, - uBlurSize: { value: SIMPLEBLUR_PARAMS.blurSize }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]) as SampleMaterial; - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/effects/useWave/index.ts b/packages/use-shader-fx/src/fxs/effects/useWave/index.ts deleted file mode 100644 index f4c80533..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useWave/index.ts +++ /dev/null @@ -1,122 +0,0 @@ -import * as THREE from "three"; -import { useCallback, useMemo } from "react"; -import { useMesh } from "./useMesh"; -import { RootState } from "@react-three/fiber"; -import { useCamera } from "../../../utils/useCamera"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { useParams } from "../../../utils/useParams"; -import { HooksProps, HooksReturn } from "../../types"; -import { getDpr } from "../../../utils/getDpr"; - -export type WaveParams = { - /** -1.0 ~ 1.0 , default : `vec2(0.0,0.0)` */ - epicenter?: THREE.Vector2; - /** 0.0 ~ 1.0 , default : `0.0` */ - progress?: number; - /** default : `0.0` */ - width?: number; - /** default : `0.0` */ - strength?: number; - /** default : `center` */ - mode?: "center" | "horizontal" | "vertical"; -}; - -export type WaveObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const WAVE_PARAMS: WaveParams = Object.freeze({ - epicenter: new THREE.Vector2(0.0, 0.0), - progress: 0.0, - width: 0.0, - strength: 0.0, - mode: "center", -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx - */ -export const useWave = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn<WaveParams, WaveObject, CustomParams> => { - const _dpr = getDpr(dpr); - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ scene, onBeforeInit }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<WaveParams>(WAVE_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: WaveParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: WaveParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("uEpicenter", params.epicenter!); - updateValue("uProgress", params.progress!); - updateValue("uWidth", params.width!); - updateValue("uStrength", params.strength!); - updateValue( - "uMode", - params.mode! === "center" - ? 0 - : params.mode! === "horizontal" - ? 1 - : 2 - ); - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/effects/useWave/shader/main.frag b/packages/use-shader-fx/src/fxs/effects/useWave/shader/main.frag deleted file mode 100644 index d262da69..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useWave/shader/main.frag +++ /dev/null @@ -1,51 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform float uProgress; -uniform float uStrength; -uniform float uWidth; -uniform vec2 uEpicenter; -uniform int uMode; - -float PI = 3.141592653589; - -void main() { - - vec2 uv = vUv; - - float progress = min(uProgress, 1.0); - float progressFactor = sin(progress * PI); - - float border = progress - progress * progressFactor * uWidth; - float blur = uStrength * progressFactor; - - // 0 ~ 1 - vec2 normalizeCenter = (uEpicenter + 1.0) / 2.0; - - // 0:center 1:horizontal 2:vertical - float dist = uMode == 0 ? length(uv - normalizeCenter) : uMode == 1 ? length(uv.x - normalizeCenter.x) : length(uv.y - normalizeCenter.y); - - // Calculate the maximum distance to the four corners of the screen - float maxDistance = max( - length(vec2(0.0, 0.0) - normalizeCenter), - max( - length(vec2(1.0, 0.0) - normalizeCenter), - max( - length(vec2(0.0, 1.0) - normalizeCenter), - length(vec2(1.0, 1.0) - normalizeCenter) - ) - ) - ); - - // Scale distance so that waves extend to the edge of the screen - dist = maxDistance > 0.0 ? dist / maxDistance : dist; - - vec3 color = vec3(smoothstep(border - blur, border, dist) - - smoothstep(progress, progress + blur, dist)); - - // Ensure color is 0 when progress is 0,1 - color *= progressFactor; - - gl_FragColor = vec4(color, 1.0); -} - diff --git a/packages/use-shader-fx/src/fxs/effects/useWave/shader/main.vert b/packages/use-shader-fx/src/fxs/effects/useWave/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useWave/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/effects/useWave/useMesh.ts b/packages/use-shader-fx/src/fxs/effects/useWave/useMesh.ts deleted file mode 100644 index 709044bd..00000000 --- a/packages/use-shader-fx/src/fxs/effects/useWave/useMesh.ts +++ /dev/null @@ -1,51 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { WAVE_PARAMS } from "."; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps } from "../../types"; -import { MATERIAL_BASIC_PARAMS } from "../../../libs/constants"; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class WaveMaterial extends THREE.ShaderMaterial { - uniforms!: { - uEpicenter: { value: THREE.Vector2 }; - uProgress: { value: number }; - uStrength: { value: number }; - uWidth: { value: number }; - uMode: { value: number }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { scene: THREE.Scene } & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uEpicenter: { value: WAVE_PARAMS.epicenter }, - uProgress: { value: WAVE_PARAMS.progress }, - uStrength: { value: WAVE_PARAMS.strength }, - uWidth: { value: WAVE_PARAMS.width }, - uMode: { value: 0 }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]) as WaveMaterial; - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/interactions/useBrush/index.ts b/packages/use-shader-fx/src/fxs/interactions/useBrush/index.ts deleted file mode 100644 index 2f2c1693..00000000 --- a/packages/use-shader-fx/src/fxs/interactions/useBrush/index.ts +++ /dev/null @@ -1,190 +0,0 @@ -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { useCallback, useMemo, useRef } from "react"; -import { RootState } from "@react-three/fiber"; -import { PointerValues, usePointer } from "../../../misc/usePointer"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { DoubleRenderTarget, useDoubleFBO } from "../../../utils/useDoubleFBO"; -import { getDpr } from "../../../utils/getDpr"; - -export type BrushParams = { - /** Texture applied to the brush, If texture is true, it will take precedence over color , default : `false` */ - texture?: THREE.Texture | false; - /** You can attach an fx map , default : `false` */ - map?: THREE.Texture | false; - /** map intensity , default : `0.1` */ - mapIntensity?: number; - /** size of the stamp, percentage of the size ,default : `0.05` */ - radius?: number; - /** Strength of smudge effect , default : `0.0`*/ - smudge?: number; - /** dissipation rate. If set to 1, it will remain. , default : `1.0` */ - dissipation?: number; - /** Strength of motion blur , default : `0.0` */ - motionBlur?: number; - /** Number of motion blur samples. Affects performance default : `5` */ - motionSample?: number; - /** brush color , it accepts a function that returns THREE.Vector3.The function takes velocity:THREE.Vector2 as an argument. , default : `THREE.Vector3(1.0, 1.0, 1.0)` */ - color?: - | ((velocity: THREE.Vector2) => THREE.Vector3) - | THREE.Vector3 - | THREE.Color; - /** Follows the cursor even if it loses speed , default : `false` */ - isCursor?: boolean; - /** brush pressure (0 to 1) , default : `1.0` */ - pressure?: number; - /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */ - pointerValues?: PointerValues | false; -}; - -export type BrushObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: DoubleRenderTarget; - output: THREE.Texture; -}; - -export const BRUSH_PARAMS: BrushParams = Object.freeze({ - texture: false, - map: false, - mapIntensity: 0.1, - radius: 0.05, - smudge: 0.0, - dissipation: 1.0, - motionBlur: 0.0, - motionSample: 5, - color: new THREE.Vector3(1.0, 0.0, 0.0), - isCursor: false, - pressure: 1.0, - pointerValues: false, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useBrush = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn<BrushParams, BrushObject, CustomParams> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ - scene, - size, - dpr: _dpr.shader, - onBeforeInit, - }); - const camera = useCamera(size); - const updatePointer = usePointer(); - const [renderTarget, updateRenderTarget] = useDoubleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<BrushParams>(BRUSH_PARAMS); - - const pressureEnd = useRef<number | null>(null); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: BrushParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: BrushParams, - customParams?: CustomParams - ) => { - const { gl, pointer } = rootState; - - updateParams(newParams, customParams); - - if (params.texture!) { - updateValue("uIsTexture", true); - updateValue("uTexture", params.texture!); - } else { - updateValue("uIsTexture", false); - } - - if (params.map!) { - updateValue("uIsMap", true); - updateValue("uMap", params.map!); - updateValue("uMapIntensity", params.mapIntensity!); - } else { - updateValue("uIsMap", false); - } - - updateValue("uRadius", params.radius!); - updateValue("uSmudge", params.smudge!); - updateValue("uDissipation", params.dissipation!); - updateValue("uMotionBlur", params.motionBlur!); - updateValue("uMotionSample", params.motionSample!); - - const pointerValues = params.pointerValues! || updatePointer(pointer); - - if (pointerValues.isVelocityUpdate) { - updateValue("uMouse", pointerValues.currentPointer); - updateValue("uPrevMouse", pointerValues.prevPointer); - } - updateValue("uVelocity", pointerValues.velocity); - - const color: THREE.Vector3 | THREE.Color = - typeof params.color === "function" - ? params.color(pointerValues.velocity) - : params.color!; - updateValue("uColor", color); - - updateValue("uIsCursor", params.isCursor!); - - // pressure - updateValue("uPressureEnd", params.pressure!); - if (pressureEnd.current === null) { - pressureEnd.current = params.pressure!; - } - updateValue("uPressureStart", pressureEnd.current); - pressureEnd.current = params.pressure!; - - return updateRenderTarget(gl, ({ read }) => { - updateValue("uBuffer", read); - }); - }, - [updateValue, updatePointer, updateRenderTarget, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.read.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/interactions/useBrush/shader/main.frag b/packages/use-shader-fx/src/fxs/interactions/useBrush/shader/main.frag deleted file mode 100644 index b997f373..00000000 --- a/packages/use-shader-fx/src/fxs/interactions/useBrush/shader/main.frag +++ /dev/null @@ -1,110 +0,0 @@ -precision highp float; - -uniform sampler2D uBuffer; -uniform sampler2D uTexture; -uniform bool uIsTexture; -uniform sampler2D uMap; -uniform bool uIsMap; -uniform float uMapIntensity; -uniform float uRadius; -uniform float uDissipation; -uniform vec2 uResolution; -uniform float uSmudge; -uniform vec2 uMouse; -uniform vec2 uPrevMouse; -uniform vec2 uVelocity; -uniform vec3 uColor; -uniform float uMotionBlur; -uniform int uMotionSample; -uniform bool uIsCursor; -uniform float uPressureStart; -uniform float uPressureEnd; - -varying vec2 vUv; - -float isOnLine(vec2 point, vec2 start, vec2 end, float radius, float pressureStart, float pressureEnd) { - - float aspect = uResolution.x / uResolution.y; - - point.x *= aspect; - start.x *= aspect; - end.x *= aspect; - - vec2 dir = normalize(end - start); - vec2 n = vec2(dir.y, -dir.x); - vec2 p0 = point - start; - - float distToLine = abs(dot(p0, n)); - float distAlongLine = dot(p0, dir); - float totalLength = length(end - start); - - float progress = clamp(distAlongLine / totalLength, 0.0, 1.0); - float pressure = mix(pressureStart, pressureEnd, progress); - radius = min(radius,radius * pressure); - - float distFromStart = length(point - start); - float distFromEnd = length(point - end); - - bool withinLine = (distToLine < radius && distAlongLine > 0.0 && distAlongLine < totalLength) || distFromStart < radius || distFromEnd < radius; - - return float(withinLine); -} - -vec4 createSmudge(vec2 uv){ - vec2 offsets[9]; - offsets[0] = vec2(-1, -1); offsets[1] = vec2( 0, -1); offsets[2] = vec2( 1, -1); - offsets[3] = vec2(-1, 0); offsets[4] = vec2( 0, 0); offsets[5] = vec2( 1, 0); - offsets[6] = vec2(-1, 1); offsets[7] = vec2( 0, 1); offsets[8] = vec2( 1, 1); - - for(int i = 0; i < 9; i++) { - offsets[i] = (offsets[i] * uSmudge) / uResolution; - } - vec4 smudgedColor = vec4(0.); - for(int i = 0; i < 9; i++) { - smudgedColor += texture2D(uBuffer, uv + offsets[i]); - } - return smudgedColor / 9.0; -} - -vec4 createMotionBlur(vec2 uv , vec4 baseColor, vec2 velocity) { - vec2 scaledV = velocity * uMotionBlur; - for(int i = 1; i < uMotionSample; i++) { - float t = float(i) / float(uMotionSample - 1); - vec2 offset = t * scaledV / uResolution; - baseColor += texture2D(uBuffer, uv + offset); - } - return baseColor / float(uMotionSample); -} - -void main() { - - vec2 uv = vUv; - if(uIsMap){ - vec2 mapColor = texture2D(uMap, uv).rg; - vec2 normalizedMap = mapColor * 2.0 - 1.0; - uv = uv * 2.0 - 1.0; - uv *= mix(vec2(1.0), abs(normalizedMap.rg), uMapIntensity); - uv = (uv + 1.0) / 2.0; - } - vec2 suv = uv*2.-1.; - - vec2 velocity = uVelocity * uResolution; - - float radius = max(0.0,uRadius); - - vec4 smudgedColor = uSmudge > 0. ? createSmudge(uv) : texture2D(uBuffer, uv); - - vec4 motionBlurredColor = uMotionBlur > 0. ? createMotionBlur(uv,smudgedColor, velocity) : smudgedColor; - - vec4 bufferColor = motionBlurredColor; - bufferColor.a = bufferColor.a < 1e-10 ? 0.0 : bufferColor.a * uDissipation; - - vec4 brushColor = uIsTexture ? texture2D(uTexture, uv) : vec4(uColor,1.); - - float onLine = isOnLine(suv, uPrevMouse, uMouse, radius, uPressureStart,uPressureEnd); - float isOnLine = length(velocity) > 0. ? onLine : uIsCursor ? onLine : 0.; - - vec4 finalColor = mix(bufferColor, brushColor, isOnLine); - - gl_FragColor = finalColor; -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/interactions/useBrush/shader/main.vert b/packages/use-shader-fx/src/fxs/interactions/useBrush/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/interactions/useBrush/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/interactions/useBrush/useMesh.ts b/packages/use-shader-fx/src/fxs/interactions/useBrush/useMesh.ts deleted file mode 100644 index d5533c30..00000000 --- a/packages/use-shader-fx/src/fxs/interactions/useBrush/useMesh.ts +++ /dev/null @@ -1,95 +0,0 @@ -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useMemo } from "react"; -import { useResolution } from "../../../utils/useResolution"; -import { setUniform } from "../../../utils/setUniforms"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps, Size } from "../../types"; -import { - DEFAULT_TEXTURE, - MATERIAL_BASIC_PARAMS, -} from "../../../libs/constants"; -import { BRUSH_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class BrushMaterial extends THREE.ShaderMaterial { - uniforms!: { - uBuffer: { value: THREE.Texture }; - uTexture: { value: THREE.Texture }; - uIsTexture: { value: boolean }; - uMap: { value: THREE.Texture }; - uIsMap: { value: boolean }; - uMapIntensity: { value: number }; - uResolution: { value: THREE.Vector2 }; - uRadius: { value: number }; - uSmudge: { value: number }; - uDissipation: { value: number }; - uMotionBlur: { value: number }; - uMotionSample: { value: number }; - uMouse: { value: number }; - uPrevMouse: { value: number }; - uVelocity: { value: number }; - uColor: { value: THREE.Vector3 | THREE.Color }; - uIsCursor: { value: boolean }; - uPressureStart: { value: number }; - uPressureEnd: { value: number }; - }; -} - -export const useMesh = ({ - scene, - size, - dpr, - onBeforeInit, -}: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uBuffer: { value: DEFAULT_TEXTURE }, - uResolution: { value: new THREE.Vector2(0, 0) }, - uTexture: { value: DEFAULT_TEXTURE }, - uIsTexture: { value: false }, - uMap: { value: DEFAULT_TEXTURE }, - uIsMap: { value: false }, - uMapIntensity: { value: BRUSH_PARAMS.mapIntensity }, - uRadius: { value: BRUSH_PARAMS.radius }, - uSmudge: { value: BRUSH_PARAMS.smudge }, - uDissipation: { value: BRUSH_PARAMS.dissipation }, - uMotionBlur: { value: BRUSH_PARAMS.motionBlur }, - uMotionSample: { value: BRUSH_PARAMS.motionSample }, - uMouse: { value: new THREE.Vector2(-10, -10) }, - uPrevMouse: { value: new THREE.Vector2(-10, -10) }, - uVelocity: { value: new THREE.Vector2(0, 0) }, - uColor: { value: BRUSH_PARAMS.color }, - uIsCursor: { value: false }, - uPressureStart: { value: 1.0 }, - uPressureEnd: { value: 1.0 }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - // Must be transparent - transparent: true, - }); - - return mat; - }, [onBeforeInit]) as BrushMaterial; - - const resolution = useResolution(size, dpr); - setUniform(material)("uResolution", resolution.clone()); - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/misc/useChromaKey/index.ts b/packages/use-shader-fx/src/fxs/misc/useChromaKey/index.ts deleted file mode 100644 index 26536a35..00000000 --- a/packages/use-shader-fx/src/fxs/misc/useChromaKey/index.ts +++ /dev/null @@ -1,138 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { getDpr } from "../../../utils/getDpr"; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type ChromaKeyParams = { - /** Process this texture with chroma key , default : `THREE.Texture` */ - texture?: THREE.Texture; - /** key color for chromakey processing , default: `THREE.Color(0x00ff00)` */ - keyColor?: THREE.Color; - /** If the similarity with the key color exceeds this value, it becomes transparent. , default : `0.2` */ - similarity?: number; - /** smoothness , default : `0.1` */ - smoothness?: number; - /** spill , default : `0.2` */ - spill?: number; - /** tone correction , default : `THREE.Vector4(1.0, 1.0, 1.0, 1.0)` */ - color?: THREE.Vector4; - /** contrast , default : `1.0` */ - contrast?: number; - /** brightness , default : `0.0` */ - brightness?: number; - /** gamma correction , default : `1.0` */ - gamma?: number; -}; - -export type ChromaKeyObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const CHROMAKEY_PARAMS: ChromaKeyParams = Object.freeze({ - texture: DEFAULT_TEXTURE, - keyColor: new THREE.Color(0x00ff00), - similarity: 0.2, - smoothness: 0.1, - spill: 0.2, - color: new THREE.Vector4(1.0, 1.0, 1.0, 1.0), - contrast: 1.0, - brightness: 0.0, - gamma: 1.0, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useChromaKey = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn<ChromaKeyParams, ChromaKeyObject, CustomParams> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ - scene, - size, - dpr: _dpr.shader, - onBeforeInit, - }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<ChromaKeyParams>(CHROMAKEY_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: ChromaKeyParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: ChromaKeyParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("u_texture", params.texture!); - updateValue("u_keyColor", params.keyColor!); - updateValue("u_similarity", params.similarity!); - updateValue("u_smoothness", params.smoothness!); - updateValue("u_spill", params.spill!); - updateValue("u_color", params.color!); - updateValue("u_contrast", params.contrast!); - updateValue("u_brightness", params.brightness!); - updateValue("u_gamma", params.gamma!); - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/misc/useChromaKey/shader/main.frag b/packages/use-shader-fx/src/fxs/misc/useChromaKey/shader/main.frag deleted file mode 100644 index 729cdba4..00000000 --- a/packages/use-shader-fx/src/fxs/misc/useChromaKey/shader/main.frag +++ /dev/null @@ -1,70 +0,0 @@ -precision highp float; -varying vec2 vUv; - -uniform sampler2D u_texture; -uniform vec2 u_resolution; -uniform vec3 u_keyColor; -uniform float u_similarity; -uniform float u_smoothness; -uniform float u_spill; - -uniform vec4 u_color; -uniform float u_contrast; -uniform float u_brightness; -uniform float u_gamma; - -// From https://github.com/libretro/glsl-shaders/blob/master/nnedi3/shaders/rgb-to-yuv.glsl -vec2 RGBtoUV(vec3 rgb) { - return vec2( - rgb.r * -0.169 + rgb.g * -0.331 + rgb.b * 0.5 + 0.5, - rgb.r * 0.5 + rgb.g * -0.419 + rgb.b * -0.081 + 0.5 - ); -} -float getChromeDist(vec3 texColor){ - float chromaDist = distance(RGBtoUV(texColor), RGBtoUV(u_keyColor)); - return chromaDist; -} - -float getBoxFilteredChromaDist(vec3 rgb, vec2 uv) -{ - vec2 pixel_size = vec2(1.) / u_resolution; - vec2 h_pixel_size = pixel_size / 2.0; - vec2 point_0 = vec2(pixel_size.x, h_pixel_size.y); - vec2 point_1 = vec2(h_pixel_size.x, -pixel_size.y); - float distVal = getChromeDist(texture2D(u_texture,uv-point_0).rgb); - distVal += getChromeDist(texture2D(u_texture,uv+point_0).rgb); - distVal += getChromeDist(texture2D(u_texture,uv-point_1).rgb); - distVal += getChromeDist(texture2D(u_texture,uv+point_1).rgb); - distVal *= 2.0; - distVal += getChromeDist(rgb); - return distVal / 9.0; -} - -vec4 CalcColor(vec4 rgba) -{ - return vec4(pow(rgba.rgb, vec3(u_gamma, u_gamma, u_gamma)) * u_contrast + u_brightness, rgba.a); -} - -void main() { - - vec2 uv = vUv; - - vec4 texColor = texture2D(u_texture, uv); - texColor.rgb *= (texColor.a > 0.) ? (1. / texColor.a) : 0.; - - float chromaDist = getBoxFilteredChromaDist(texColor.rgb,uv); - - float baseMask = chromaDist - u_similarity; - float fullMask = pow(clamp(baseMask / u_smoothness, 0., 1.), 1.5); - - texColor.rgba *= u_color; - texColor.a = fullMask; - - float spillVal = pow(clamp(baseMask / u_spill, 0., 1.), 1.5); - float desat = clamp(texColor.r * 0.2126 + texColor.g * 0.7152 + texColor.b * 0.0722, 0., 1.); - texColor.rgb = mix(vec3(desat, desat, desat), texColor.rgb, spillVal); - - vec4 finColor = CalcColor(texColor); - - gl_FragColor = finColor; -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/misc/useChromaKey/shader/main.vert b/packages/use-shader-fx/src/fxs/misc/useChromaKey/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/misc/useChromaKey/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/misc/useChromaKey/useMesh.ts b/packages/use-shader-fx/src/fxs/misc/useChromaKey/useMesh.ts deleted file mode 100644 index f8e2275f..00000000 --- a/packages/use-shader-fx/src/fxs/misc/useChromaKey/useMesh.ts +++ /dev/null @@ -1,75 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { setUniform } from "../../../utils/setUniforms"; -import { useResolution } from "../../../utils/useResolution"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps, Size } from "../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { CHROMAKEY_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class ChromaKeyMaterial extends THREE.ShaderMaterial { - uniforms!: { - u_texture: { value: THREE.Texture }; - u_resolution: { value: THREE.Vector2 }; - u_keyColor: { value: THREE.Color }; - u_similarity: { value: number }; - u_smoothness: { value: number }; - u_spill: { value: number }; - u_color: { value: THREE.Vector4 }; - u_contrast: { value: number }; - u_brightness: { value: number }; - u_gamma: { value: number }; - }; -} - -export const useMesh = ({ - scene, - size, - dpr, - onBeforeInit, -}: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - u_texture: { value: DEFAULT_TEXTURE }, - u_resolution: { value: new THREE.Vector2() }, - u_keyColor: { value: CHROMAKEY_PARAMS.color }, - u_similarity: { value: CHROMAKEY_PARAMS.similarity }, - u_smoothness: { value: CHROMAKEY_PARAMS.smoothness }, - u_spill: { value: CHROMAKEY_PARAMS.spill }, - u_color: { value: CHROMAKEY_PARAMS.color }, - u_contrast: { value: CHROMAKEY_PARAMS.contrast }, - u_brightness: { value: CHROMAKEY_PARAMS.brightness }, - u_gamma: { value: CHROMAKEY_PARAMS.gamma }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]) as ChromaKeyMaterial; - - const resolution = useResolution(size, dpr); - setUniform(material)("u_resolution", resolution.clone()); - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/noises/useColorStrata/index.ts b/packages/use-shader-fx/src/fxs/noises/useColorStrata/index.ts deleted file mode 100644 index ac583faa..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useColorStrata/index.ts +++ /dev/null @@ -1,157 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { getDpr } from "../../../utils/getDpr"; - -export type ColorStrataParams = { - /** default : `null` */ - texture?: THREE.Texture | false; - /** Valid when texture is false. default : `1` */ - scale?: number; - /** default : `1.0` */ - laminateLayer?: number; - /** default : `(0.1, 0.1)` */ - laminateInterval?: THREE.Vector2; - /** default : `(1.0, 1.0)` */ - laminateDetail?: THREE.Vector2; - /** default : `(0.0, 0.0)` */ - distortion?: THREE.Vector2; - /** default : `(1.0, 1.0, 1.0)` */ - colorFactor?: THREE.Vector3; - /** default : `(0.0, 0.0)` */ - timeStrength?: THREE.Vector2; - /** default : `false` */ - noise?: THREE.Texture | false; - /** default : `(0.0,0.0)` */ - noiseStrength?: THREE.Vector2; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; -}; - -export type ColorStrataObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const COLORSTRATA_PARAMS: ColorStrataParams = Object.freeze({ - texture: false, - scale: 1.0, - laminateLayer: 1.0, - laminateInterval: new THREE.Vector2(0.1, 0.1), - laminateDetail: new THREE.Vector2(1, 1), - distortion: new THREE.Vector2(0, 0), - colorFactor: new THREE.Vector3(1, 1, 1), - timeStrength: new THREE.Vector2(0, 0), - noise: false, - noiseStrength: new THREE.Vector2(0, 0), - beat: false, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useColorStrata = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn< - ColorStrataParams, - ColorStrataObject, - CustomParams -> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ scene, onBeforeInit }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<ColorStrataParams>(COLORSTRATA_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: ColorStrataParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: ColorStrataParams, - customParams?: CustomParams - ) => { - const { gl, clock } = rootState; - - updateParams(newParams, customParams); - - if (params.texture) { - updateValue("uTexture", params.texture); - updateValue("isTexture", true); - } else { - updateValue("isTexture", false); - updateValue("scale", params.scale!); - } - - if (params.noise) { - updateValue("noise", params.noise); - updateValue("isNoise", true); - updateValue("noiseStrength", params.noiseStrength!); - } else { - updateValue("isNoise", false); - } - - updateValue("uTime", params.beat || clock.getElapsedTime()); - - updateValue("laminateLayer", params.laminateLayer!); - updateValue("laminateInterval", params.laminateInterval!); - updateValue("laminateDetail", params.laminateDetail!); - updateValue("distortion", params.distortion!); - updateValue("colorFactor", params.colorFactor!); - updateValue("timeStrength", params.timeStrength!); - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/noises/useColorStrata/shader/main.frag b/packages/use-shader-fx/src/fxs/noises/useColorStrata/shader/main.frag deleted file mode 100644 index cf00d0cc..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useColorStrata/shader/main.frag +++ /dev/null @@ -1,43 +0,0 @@ -precision highp float; -varying vec2 vUv; - -uniform sampler2D uTexture; -uniform bool isTexture; -uniform sampler2D noise; -uniform bool isNoise; -uniform vec2 noiseStrength; -uniform float laminateLayer; -uniform vec2 laminateInterval; -uniform vec2 laminateDetail; -uniform vec2 distortion; -uniform vec3 colorFactor; -uniform float uTime; -uniform vec2 timeStrength; -uniform float scale; - -void main() { - vec2 uv = vUv; - - vec2 pos = isTexture ? texture2D(uTexture, uv).rg : uv * scale; - vec2 noise = isNoise ? texture2D(noise, uv).rg : vec2(0.0); - float alpha = isTexture ? texture2D(uTexture, uv).a : 1.0; - - // Avoid floating point bugs caused by GPU drivers. - alpha = (alpha < 1e-10) ? 0.0 : alpha; - - vec3 col; - for(float j = 0.0; j < 3.0; j++){ - for(float i = 1.0; i < laminateLayer; i++){ - float timeNoiseSin = sin(uTime / (i + j)) * timeStrength.x + noise.r * noiseStrength.x; - float timeNoiseCos = cos(uTime / (i + j)) * timeStrength.y + noise.g * noiseStrength.y; - pos.x += laminateInterval.x / (i + j) * cos(i * distortion.x * pos.y + timeNoiseSin + sin(i + j)); - pos.y += laminateInterval.y / (i + j) * cos(i * distortion.y * pos.x + timeNoiseCos + sin(i + j)); - } - col[int(j)] = sin(pow(pos.x, 2.) * pow(laminateDetail.x, 2.)) + sin(pow(pos.y, 2.) * pow(laminateDetail.y, 2.)); - } - - col *= colorFactor * alpha; - col = clamp(col, 0.0, 1.0); - - gl_FragColor = vec4(col, alpha); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/noises/useColorStrata/shader/main.vert b/packages/use-shader-fx/src/fxs/noises/useColorStrata/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useColorStrata/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/noises/useColorStrata/useMesh.ts b/packages/use-shader-fx/src/fxs/noises/useColorStrata/useMesh.ts deleted file mode 100644 index bbc6a6e8..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useColorStrata/useMesh.ts +++ /dev/null @@ -1,72 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps } from "../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { COLORSTRATA_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class ColorStrataMaterial extends THREE.ShaderMaterial { - uniforms!: { - uTexture: { value: THREE.Texture }; - isTexture: { value: boolean }; - scale: { value: number }; - noise: { value: THREE.Texture }; - noiseStrength: { value: THREE.Vector2 }; - isNoise: { value: boolean }; - laminateLayer: { value: number }; - laminateInterval: { value: THREE.Vector2 }; - laminateDetail: { value: THREE.Vector2 }; - distortion: { value: THREE.Vector2 }; - colorFactor: { value: THREE.Vector3 }; - uTime: { value: number }; - timeStrength: { value: THREE.Vector2 }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { scene: THREE.Scene } & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uTexture: { value: DEFAULT_TEXTURE }, - isTexture: { value: false }, - scale: { value: COLORSTRATA_PARAMS.scale }, - noise: { value: DEFAULT_TEXTURE }, - noiseStrength: { value: COLORSTRATA_PARAMS.noiseStrength }, - isNoise: { value: false }, - laminateLayer: { value: COLORSTRATA_PARAMS.laminateLayer }, - laminateInterval: { - value: COLORSTRATA_PARAMS.laminateInterval, - }, - laminateDetail: { value: COLORSTRATA_PARAMS.laminateDetail }, - distortion: { value: COLORSTRATA_PARAMS.distortion }, - colorFactor: { value: COLORSTRATA_PARAMS.colorFactor }, - uTime: { value: 0 }, - timeStrength: { value: COLORSTRATA_PARAMS.timeStrength }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]) as ColorStrataMaterial; - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/noises/useCosPalette/index.ts b/packages/use-shader-fx/src/fxs/noises/useCosPalette/index.ts deleted file mode 100644 index 7b96ae00..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useCosPalette/index.ts +++ /dev/null @@ -1,125 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { RootState } from "@react-three/fiber"; -import { useCamera } from "../../../utils/useCamera"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { useParams } from "../../../utils/useParams"; -import { HooksProps, HooksReturn } from "../../types"; -import { getDpr } from "../../../utils/getDpr"; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type CosPaletteParams = { - /** color1, default : `rgb(50%, 50%, 50%)` */ - color1?: THREE.Color; - /** color2, default : `rgb(50%, 50%, 50%)` */ - color2?: THREE.Color; - /** color3, default : `rgb(100%, 100%, 100%)` */ - color3?: THREE.Color; - /** color4, default : `rgb(0%, 10%, 20%)` */ - color4?: THREE.Color; - /** texture to be used as a palette */ - texture?: THREE.Texture; - /** weight of the rgb, default : `THREE.Vector3(1.0,0.0,0.0)` */ - rgbWeight?: THREE.Vector3; -}; - -export type ColorPaletteObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const COSPALETTE_PARAMS: CosPaletteParams = Object.freeze({ - texture: DEFAULT_TEXTURE, - color1: new THREE.Color().set(0.5, 0.5, 0.5), - color2: new THREE.Color().set(0.5, 0.5, 0.5), - color3: new THREE.Color().set(1, 1, 1), - color4: new THREE.Color().set(0, 0.1, 0.2), - rgbWeight: new THREE.Vector3(0.299, 0.587, 0.114), -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useCosPalette = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn< - CosPaletteParams, - ColorPaletteObject, - CustomParams -> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ scene, onBeforeInit }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<CosPaletteParams>(COSPALETTE_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: CosPaletteParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: CosPaletteParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("uTexture", params.texture!); - updateValue("uColor1", params.color1!); - updateValue("uColor2", params.color2!); - updateValue("uColor3", params.color3!); - updateValue("uColor4", params.color4!); - updateValue("uRgbWeight", params.rgbWeight!); - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/noises/useCosPalette/shader/main.frag b/packages/use-shader-fx/src/fxs/noises/useCosPalette/shader/main.frag deleted file mode 100644 index 40b3badc..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useCosPalette/shader/main.frag +++ /dev/null @@ -1,33 +0,0 @@ -precision highp float; -precision highp int; - -varying vec2 vUv; -uniform sampler2D uTexture; -uniform vec3 uColor1; -uniform vec3 uColor2; -uniform vec3 uColor3; -uniform vec3 uColor4; -uniform vec3 uRgbWeight; - - -// Based on glsl-cos-palette by Erkaman -// https://github.com/Erkaman/glsl-cos-palette -vec3 cosPalette( float t, vec3 color1, vec3 color2, vec3 color3, vec3 color4 ){ - return color1 + color2 * cos( 6.28318 * ( color3 * t + color4) ); -} - -void main() { - - vec4 tex = texture2D(uTexture, vUv); - float gray = dot(tex.rgb, uRgbWeight); - - vec3 outColor = cosPalette( - gray, - uColor1, - uColor2, - uColor3, - uColor4 - ); - - gl_FragColor = vec4(outColor, tex.a); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/noises/useCosPalette/shader/main.vert b/packages/use-shader-fx/src/fxs/noises/useCosPalette/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useCosPalette/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/noises/useCosPalette/useMesh.ts b/packages/use-shader-fx/src/fxs/noises/useCosPalette/useMesh.ts deleted file mode 100644 index a1a13f0d..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useCosPalette/useMesh.ts +++ /dev/null @@ -1,54 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps } from "../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { COSPALETTE_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class CosPaletteMaterial extends THREE.ShaderMaterial { - uniforms!: { - uTexture: { value: THREE.Texture }; - uRgbWeight: { value: THREE.Vector3 }; - uColor1: { value: THREE.Color }; - uColor2: { value: THREE.Color }; - uColor3: { value: THREE.Color }; - uColor4: { value: THREE.Color }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { scene: THREE.Scene } & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uTexture: { value: DEFAULT_TEXTURE }, - uRgbWeight: { value: COSPALETTE_PARAMS.rgbWeight }, - uColor1: { value: COSPALETTE_PARAMS.color1 }, - uColor2: { value: COSPALETTE_PARAMS.color2 }, - uColor3: { value: COSPALETTE_PARAMS.color3 }, - uColor4: { value: COSPALETTE_PARAMS.color4 }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]) as CosPaletteMaterial; - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/noises/useMarble/index.ts b/packages/use-shader-fx/src/fxs/noises/useMarble/index.ts deleted file mode 100644 index 670016df..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useMarble/index.ts +++ /dev/null @@ -1,123 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { getDpr } from "../../../utils/getDpr"; - -export type MarbleParams = { - /** You can add random patterns to noise by passing random numbers ,default : `0` */ - pattern?: number; - /** default : `2` */ - complexity?: number; - /** default : `0.2` */ - complexityAttenuation?: number; - /** default : `8` */ - iterations?: number; - /** default : `0.2` */ - timeStrength?: number; - /** default : `0.002` */ - scale?: number; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; -}; - -export type MarbleObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const MARBLE_PARAMS: MarbleParams = Object.freeze({ - pattern: 0, - complexity: 2, - complexityAttenuation: 0.2, - iterations: 8, - timeStrength: 0.2, - scale: 0.002, - beat: false, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useMarble = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn<MarbleParams, MarbleObject, CustomParams> => { - const _dpr = getDpr(dpr); - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ scene, onBeforeInit }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<MarbleParams>(MARBLE_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: MarbleParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: MarbleParams, - customParams?: CustomParams - ) => { - const { gl, clock } = rootState; - - updateParams(newParams, customParams); - - updateValue("u_pattern", params.pattern!); - updateValue("u_complexity", params.complexity!); - updateValue("u_complexityAttenuation", params.complexityAttenuation!); - updateValue("u_iterations", params.iterations!); - updateValue("u_timeStrength", params.timeStrength!); - updateValue("u_scale", params.scale!); - updateValue("u_time", params.beat || clock.getElapsedTime()); - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/noises/useMarble/shader/main.frag b/packages/use-shader-fx/src/fxs/noises/useMarble/shader/main.frag deleted file mode 100644 index 99386ae5..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useMarble/shader/main.frag +++ /dev/null @@ -1,27 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform float u_time; -uniform float u_pattern; -uniform float u_complexity; -uniform float u_complexityAttenuation; -uniform float u_iterations; -uniform float u_timeStrength; -uniform float u_scale; - -vec3 marble(vec3 p){ - vec4 n; - for(float i;i<u_iterations;i++){ - p+=sin(p.yzx + u_pattern); - n=u_complexity*n+vec4(cross(cos(p + u_pattern),sin(p.zxy + u_pattern)),1.)*(1.+i*u_complexityAttenuation); - p*=u_complexity; - } - return n.xyz/n.w; -} - -void main() { - float time = u_time * u_timeStrength; - vec3 color = clamp(marble(vec3(gl_FragCoord.xy*u_scale,time)),0.,1.); - gl_FragColor = vec4(color,1.); -} - diff --git a/packages/use-shader-fx/src/fxs/noises/useMarble/shader/main.vert b/packages/use-shader-fx/src/fxs/noises/useMarble/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useMarble/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/noises/useMarble/useMesh.ts b/packages/use-shader-fx/src/fxs/noises/useMarble/useMesh.ts deleted file mode 100644 index 1fde9f1f..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useMarble/useMesh.ts +++ /dev/null @@ -1,55 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps } from "../../types"; -import { MATERIAL_BASIC_PARAMS } from "../../../libs/constants"; -import { MARBLE_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class MarbleMaterial extends THREE.ShaderMaterial { - uniforms!: { - u_time: { value: number }; - u_pattern: { value: number }; - u_complexity: { value: number }; - u_complexityAttenuation: { value: number }; - u_iterations: { value: number }; - u_timeStrength: { value: number }; - u_scale: { value: number }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { scene: THREE.Scene } & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - u_time: { value: 0 }, - u_pattern: { value: MARBLE_PARAMS.pattern }, - u_complexity: { value: MARBLE_PARAMS.complexity }, - u_complexityAttenuation: { - value: MARBLE_PARAMS.complexityAttenuation, - }, - u_iterations: { value: MARBLE_PARAMS.iterations }, - u_timeStrength: { value: MARBLE_PARAMS.timeStrength }, - u_scale: { value: MARBLE_PARAMS.scale }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]) as MarbleMaterial; - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/noises/useNoise/index.ts b/packages/use-shader-fx/src/fxs/noises/useNoise/index.ts deleted file mode 100644 index 8b883b6d..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useNoise/index.ts +++ /dev/null @@ -1,130 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { RootState } from "@react-three/fiber"; -import { useCamera } from "../../../utils/useCamera"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { useParams } from "../../../utils/useParams"; -import { HooksProps, HooksReturn } from "../../types"; -import { getDpr } from "../../../utils/getDpr"; - -export type NoiseParams = { - /** noise scale , default : `0.004` */ - scale?: number; - /** time factor default : `0.3` */ - timeStrength?: number; - /** noiseOctaves, affects performance default : `2` */ - noiseOctaves?: number; - /** fbmOctaves, affects performance default : `2` */ - fbmOctaves?: number; - /** domain warping octaves , affects performance default : `2` */ - warpOctaves?: number; - /** direction of domain warping , default : `(2.0,2,0)` */ - warpDirection?: THREE.Vector2; - /** strength of domain warping , default : `8.0` */ - warpStrength?: number; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; -}; - -export type NoiseObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const NOISE_PARAMS: NoiseParams = Object.freeze({ - scale: 0.004, - timeStrength: 0.3, - noiseOctaves: 2, - fbmOctaves: 2, - warpOctaves: 2, - warpDirection: new THREE.Vector2(2.0, 2.0), - warpStrength: 8.0, - beat: false, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - * - * It is a basic value noise with `fbm` and `domain warping` - */ -export const useNoise = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn<NoiseParams, NoiseObject, CustomParams> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ scene, onBeforeInit }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<NoiseParams>(NOISE_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: NoiseParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: NoiseParams, - customParams?: CustomParams - ) => { - const { gl, clock } = rootState; - - updateParams(newParams, customParams); - - updateValue("scale", params.scale!); - updateValue("timeStrength", params.timeStrength!); - updateValue("noiseOctaves", params.noiseOctaves!); - updateValue("fbmOctaves", params.fbmOctaves!); - updateValue("warpOctaves", params.warpOctaves!); - updateValue("warpDirection", params.warpDirection!); - updateValue("warpStrength", params.warpStrength!); - updateValue("uTime", params.beat || clock.getElapsedTime()); - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/noises/useNoise/shader/main.frag b/packages/use-shader-fx/src/fxs/noises/useNoise/shader/main.frag deleted file mode 100644 index 39e96e23..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useNoise/shader/main.frag +++ /dev/null @@ -1,76 +0,0 @@ -precision highp float; -precision highp int; - -varying vec2 vUv; -uniform float uTime; -uniform float timeStrength; -uniform int noiseOctaves; -uniform int fbmOctaves; -uniform int warpOctaves; -uniform vec2 warpDirection; -uniform float warpStrength; -uniform float scale; - -const float per = 0.5; -const float PI = 3.14159265359; - -float rnd(vec2 n) { - float a = 0.129898; - float b = 0.78233; - float c = 437.585453; - float dt= dot(n ,vec2(a, b)); - float sn= mod(dt, PI); - return fract(sin(sn) * c); -} - -float interpolate(float a, float b, float x){ - float f = (1.0 - cos(x * PI)) * 0.5; - return a * (1.0 - f) + b * f; -} - -float irnd(vec2 p){ - vec2 i = floor(p); - vec2 f = fract(p); - vec4 v = vec4(rnd(vec2(i.x,i.y)),rnd(vec2(i.x + 1.0,i.y)),rnd(vec2(i.x,i.y + 1.0)),rnd(vec2(i.x + 1.0, i.y + 1.0))); - return interpolate(interpolate(v.x, v.y, f.x), interpolate(v.z, v.w, f.x), f.y); -} - -// Based on The Book of Shaders -// https://thebookofshaders.com/13/ -float noise(vec2 p, float time){ - float t = 0.0; - for(int i = 0; i < noiseOctaves; i++){ - float freq = pow(2.0, float(i)); - float amp = pow(per, float(noiseOctaves - i)); - t += irnd(vec2(p.y / freq + time, p.x / freq + time)) * amp; - } - return t; -} - -float fbm(vec2 x, float time) { - float v = 0.0; - float a = 0.5; - vec2 shift = vec2(100); - mat2 rot = mat2(cos(0.5), sin(0.5), -sin(0.5), cos(0.5)); - float sign = 1.0; - for (int i = 0; i < fbmOctaves; ++i) { - v += a * noise(x, time * sign); - x = rot * x * 2.0 + shift; - a *= 0.5; - sign *= -1.0; - } - return v; -} - -float warp(vec2 x, float g,float time){ - float val = 0.0; - for (int i = 0; i < warpOctaves; i++){ - val = fbm(x + g * vec2(cos(warpDirection.x * val), sin(warpDirection.y * val)), time); - } - return val; -} - -void main() { - float noise = warp(gl_FragCoord.xy * scale ,warpStrength,uTime * timeStrength); - gl_FragColor = vec4(vec3(noise),1.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/noises/useNoise/shader/main.vert b/packages/use-shader-fx/src/fxs/noises/useNoise/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useNoise/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/noises/useNoise/useMesh.ts b/packages/use-shader-fx/src/fxs/noises/useNoise/useMesh.ts deleted file mode 100644 index 4ebe2298..00000000 --- a/packages/use-shader-fx/src/fxs/noises/useNoise/useMesh.ts +++ /dev/null @@ -1,54 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps } from "../../types"; -import { MATERIAL_BASIC_PARAMS } from "../../../libs/constants"; -import { NOISE_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class NoiseMaterial extends THREE.ShaderMaterial { - uniforms!: { - uTime: { value: number }; - scale: { value: number }; - timeStrength: { value: number }; - noiseOctaves: { value: number }; - fbmOctaves: { value: number }; - warpOctaves: { value: number }; - warpDirection: { value: THREE.Vector2 }; - warpStrength: { value: number }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { scene: THREE.Scene } & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uTime: { value: 0.0 }, - scale: { value: NOISE_PARAMS.scale }, - timeStrength: { value: NOISE_PARAMS.timeStrength }, - noiseOctaves: { value: NOISE_PARAMS.noiseOctaves }, - fbmOctaves: { value: NOISE_PARAMS.fbmOctaves }, - warpOctaves: { value: NOISE_PARAMS.warpOctaves }, - warpDirection: { value: NOISE_PARAMS.warpDirection }, - warpStrength: { value: NOISE_PARAMS.warpStrength }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]) as NoiseMaterial; - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/index.ts b/packages/use-shader-fx/src/fxs/simulations/useFluid/index.ts deleted file mode 100644 index f9d1c898..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/index.ts +++ /dev/null @@ -1,310 +0,0 @@ -import * as THREE from "three"; -import { - CustomizableKeys, - FluidMaterials, - CustomFluidProps, - CustomFluidParams, - useMesh, -} from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { useCallback, useMemo, useRef } from "react"; -import { PointerValues, usePointer } from "../../../misc/usePointer"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { UseFboProps } from "../../../utils/useSingleFBO"; -import { DoubleRenderTarget, useDoubleFBO } from "../../../utils/useDoubleFBO"; -import { getDpr } from "../../../utils/getDpr"; - -export const DELTA_TIME = 0.016; - -export type FluidParams = { - /** density disspation , default : `0.98` */ - densityDissipation?: number; - /** velocity dissipation , default : `0.99` */ - velocityDissipation?: number; - /** velocity acceleration , default : `10.0` */ - velocityAcceleration?: number; - /** pressure dissipation , default : `0.9` */ - pressureDissipation?: number; - /** pressure iterations. affects performance , default : `20` */ - pressureIterations?: number; - /** curl_strength , default : `35` */ - curlStrength?: number; - /** splat radius , default : `0.002` */ - splatRadius?: number; - /** Fluid Color.THREE.Vector3 Alternatively, it accepts a function that returns THREE.Vector3.The function takes velocity:THREE.Vector2 as an argument. , default : `THREE.Vector3(1.0, 1.0, 1.0)` */ - fluidColor?: - | ((velocity: THREE.Vector2) => THREE.Vector3) - | THREE.Vector3 - | THREE.Color; - /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */ - pointerValues?: PointerValues | false; -}; - -export type FluidObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - materials: FluidMaterials; - camera: THREE.Camera; - renderTarget: { - velocity: DoubleRenderTarget; - density: DoubleRenderTarget; - curl: THREE.WebGLRenderTarget; - divergence: THREE.WebGLRenderTarget; - pressure: DoubleRenderTarget; - }; - output: THREE.Texture; -}; - -export const FLUID_PARAMS: FluidParams = Object.freeze({ - densityDissipation: 0.98, - velocityDissipation: 0.99, - velocityAcceleration: 10.0, - pressureDissipation: 0.9, - pressureIterations: 20, - curlStrength: 35, - splatRadius: 0.002, - fluidColor: new THREE.Vector3(1.0, 1.0, 1.0), - pointerValues: false, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useFluid = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - customFluidProps, -}: { - /** you can add `onBeforeInit` of the next material.`initial`,`curl`,`vorticity`,`advection`,`divergence`,`pressure`,`clear`,`gradientSubtract`,`splat` - * ```ts - * customFluidProps: { - vorticity: { - onBeforeInit: (parameters) => console.log(parameters), - }, - }, - * ``` - */ - customFluidProps?: CustomFluidProps; -} & HooksProps): HooksReturn<FluidParams, FluidObject, CustomFluidParams> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { materials, setMeshMaterial, mesh } = useMesh({ - scene, - size, - dpr: _dpr.shader, - customFluidProps, - }); - const camera = useCamera(size); - const updatePointer = usePointer(); - - const fboProps = useMemo<UseFboProps>( - () => ({ - scene, - camera, - dpr: _dpr.fbo, - size, - isSizeUpdate, - type: THREE.HalfFloatType, - ...renderTargetOptions, - }), - [scene, camera, size, _dpr.fbo, isSizeUpdate, renderTargetOptions] - ); - const [velocityFBO, updateVelocityFBO] = useDoubleFBO(fboProps); - const [densityFBO, updateDensityFBO] = useDoubleFBO(fboProps); - const [curlFBO, updateCurlFBO] = useSingleFBO(fboProps); - const [divergenceFBO, updateDivergenceFBO] = useSingleFBO(fboProps); - const [pressureFBO, updatePressureFBO] = useDoubleFBO(fboProps); - - const scaledDiffVec = useRef(new THREE.Vector2(0, 0)); - const spaltVec = useRef(new THREE.Vector3(0, 0, 0)); - - const [params, setParams] = useParams<FluidParams>(FLUID_PARAMS); - - // setUniform - const updateParamsList = useMemo( - () => ({ - advection: setUniform(materials.advectionMaterial), - splat: setUniform(materials.splatMaterial), - curl: setUniform(materials.curlMaterial), - vorticity: setUniform(materials.vorticityMaterial), - divergence: setUniform(materials.divergenceMaterial), - clear: setUniform(materials.clearMaterial), - pressure: setUniform(materials.pressureMaterial), - gradientSubtract: setUniform(materials.gradientSubtractMaterial), - }), - [materials] - ); - // customSetUniform - const updateCustomParamsList = useMemo<{ - [K in CustomizableKeys]: (customParams: CustomParams | undefined) => void; - }>( - () => ({ - advection: setCustomUniform(materials.advectionMaterial), - splat: setCustomUniform(materials.splatMaterial), - curl: setCustomUniform(materials.curlMaterial), - vorticity: setCustomUniform(materials.vorticityMaterial), - divergence: setCustomUniform(materials.divergenceMaterial), - clear: setCustomUniform(materials.clearMaterial), - pressure: setCustomUniform(materials.pressureMaterial), - gradientSubtract: setCustomUniform(materials.gradientSubtractMaterial), - }), - [materials] - ); - - const updateParams = useCallback( - (newParams?: FluidParams, customParams?: CustomFluidParams) => { - setParams(newParams); - if (customParams) { - Object.keys(customParams).forEach((key) => { - updateCustomParamsList[key as CustomizableKeys]( - customParams[key as CustomizableKeys] - ); - }); - } - }, - [setParams, updateCustomParamsList] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: FluidParams, - customParams?: CustomFluidParams - ) => { - const { gl, pointer, size } = rootState; - - updateParams(newParams, customParams); - - const velocityTex = updateVelocityFBO(gl, ({ read }) => { - setMeshMaterial(materials.advectionMaterial); - updateParamsList.advection("uVelocity", read); - updateParamsList.advection("uSource", read); - updateParamsList.advection( - "dissipation", - params.velocityDissipation! - ); - }); - - const densityTex = updateDensityFBO(gl, ({ read }) => { - setMeshMaterial(materials.advectionMaterial); - updateParamsList.advection("uVelocity", velocityTex); - updateParamsList.advection("uSource", read); - updateParamsList.advection( - "dissipation", - params.densityDissipation! - ); - }); - - const pointerValues = params.pointerValues! || updatePointer(pointer); - - if (pointerValues.isVelocityUpdate) { - updateVelocityFBO(gl, ({ read }) => { - setMeshMaterial(materials.splatMaterial); - updateParamsList.splat("uTarget", read); - updateParamsList.splat("point", pointerValues.currentPointer); - const scaledDiff = pointerValues.diffPointer.multiply( - scaledDiffVec.current - .set(size.width, size.height) - .multiplyScalar(params.velocityAcceleration!) - ); - updateParamsList.splat( - "color", - spaltVec.current.set(scaledDiff.x, scaledDiff.y, 1.0) - ); - updateParamsList.splat("radius", params.splatRadius!); - }); - updateDensityFBO(gl, ({ read }) => { - setMeshMaterial(materials.splatMaterial); - updateParamsList.splat("uTarget", read); - const color: THREE.Vector3 | THREE.Color = - typeof params.fluidColor === "function" - ? params.fluidColor(pointerValues.velocity) - : params.fluidColor!; - updateParamsList.splat("color", color); - }); - } - - const curlTex = updateCurlFBO(gl, () => { - setMeshMaterial(materials.curlMaterial); - updateParamsList.curl("uVelocity", velocityTex); - }); - - updateVelocityFBO(gl, ({ read }) => { - setMeshMaterial(materials.vorticityMaterial); - updateParamsList.vorticity("uVelocity", read); - updateParamsList.vorticity("uCurl", curlTex); - updateParamsList.vorticity("curl", params.curlStrength!); - }); - - const divergenceTex = updateDivergenceFBO(gl, () => { - setMeshMaterial(materials.divergenceMaterial); - updateParamsList.divergence("uVelocity", velocityTex); - }); - - updatePressureFBO(gl, ({ read }) => { - setMeshMaterial(materials.clearMaterial); - updateParamsList.clear("uTexture", read); - updateParamsList.clear("value", params.pressureDissipation!); - }); - - setMeshMaterial(materials.pressureMaterial); - updateParamsList.pressure("uDivergence", divergenceTex); - let pressureTexTemp: THREE.Texture; - for (let i = 0; i < params.pressureIterations!; i++) { - pressureTexTemp = updatePressureFBO(gl, ({ read }) => { - updateParamsList.pressure("uPressure", read); - }); - } - - updateVelocityFBO(gl, ({ read }) => { - setMeshMaterial(materials.gradientSubtractMaterial); - updateParamsList.gradientSubtract("uPressure", pressureTexTemp); - updateParamsList.gradientSubtract("uVelocity", read); - }); - - return densityTex; - }, - [ - materials, - updateParamsList, - setMeshMaterial, - updateCurlFBO, - updateDensityFBO, - updateDivergenceFBO, - updatePointer, - updatePressureFBO, - updateVelocityFBO, - params, - updateParams, - ] - ); - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - materials: materials, - camera: camera, - renderTarget: { - velocity: velocityFBO, - density: densityFBO, - curl: curlFBO, - divergence: divergenceFBO, - pressure: pressureFBO, - }, - output: densityFBO.read.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useAdvectionMaterial.ts b/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useAdvectionMaterial.ts deleted file mode 100644 index a31e6d34..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useAdvectionMaterial.ts +++ /dev/null @@ -1,47 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import vertexShader from "../shaders/main.vert"; -import fragmentShader from "../shaders/advection.frag"; -import { MaterialProps } from "../../../types"; -import { - DEFAULT_TEXTURE, - MATERIAL_BASIC_PARAMS, -} from "../../../../libs/constants"; -import { DELTA_TIME } from ".."; -import { createMaterialParameters } from "../../../../utils/createMaterialParameters"; - -export class AdvectionMaterial extends THREE.ShaderMaterial { - uniforms!: { - uVelocity: { value: THREE.Texture }; - uSource: { value: THREE.Texture }; - texelSize: { value: THREE.Vector2 }; - dt: { value: number }; - dissipation: { value: number }; - }; -} - -export const useAdvectionMaterial = ({ onBeforeInit }: MaterialProps) => { - const advectionMaterial = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uVelocity: { value: DEFAULT_TEXTURE }, - uSource: { value: DEFAULT_TEXTURE }, - texelSize: { value: new THREE.Vector2() }, - dt: { value: DELTA_TIME }, - dissipation: { value: 0.0 }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]); - - return advectionMaterial as AdvectionMaterial; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useClearMaterial.ts b/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useClearMaterial.ts deleted file mode 100644 index ea524020..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useClearMaterial.ts +++ /dev/null @@ -1,42 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import vertexShader from "../shaders/main.vert"; -import fragmentShader from "../shaders/clear.frag"; -import { MaterialProps } from "../../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../../libs/constants"; -import { createMaterialParameters } from "../../../../utils/createMaterialParameters"; - -export class ClearMaterial extends THREE.ShaderMaterial { - uniforms!: { - uTexture: { value: THREE.Texture }; - value: { value: number }; - texelSize: { value: THREE.Vector2 }; - }; -} - -export const useClearMaterial = ({ onBeforeInit }: MaterialProps) => { - const advectionMaterial = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uTexture: { value: DEFAULT_TEXTURE }, - value: { value: 0.0 }, - texelSize: { value: new THREE.Vector2() }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]); - - return advectionMaterial as ClearMaterial; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useCurlMaterial.ts b/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useCurlMaterial.ts deleted file mode 100644 index b69312a0..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useCurlMaterial.ts +++ /dev/null @@ -1,37 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import vertexShader from "../shaders/main.vert"; -import fragmentShader from "../shaders/curl.frag"; -import { MaterialProps } from "../../../types"; -import { MATERIAL_BASIC_PARAMS } from "../../../../libs/constants"; -import { createMaterialParameters } from "../../../../utils/createMaterialParameters"; - -export class CurlMaterial extends THREE.ShaderMaterial { - uniforms!: { - uVelocity: { value: THREE.Texture }; - texelSize: { value: THREE.Vector2 }; - }; -} - -export const useCurlMaterial = ({ onBeforeInit }: MaterialProps) => { - const curlMaterial = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uVelocity: { value: null }, - texelSize: { value: new THREE.Vector2() }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]); - - return curlMaterial as CurlMaterial; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useDivergenceMaterial.ts b/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useDivergenceMaterial.ts deleted file mode 100644 index ee4e555a..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useDivergenceMaterial.ts +++ /dev/null @@ -1,36 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import vertexShader from "../shaders/main.vert"; -import fragmentShader from "../shaders/divergence.frag"; -import { MaterialProps } from "../../../types"; -import { MATERIAL_BASIC_PARAMS } from "../../../../libs/constants"; -import { createMaterialParameters } from "../../../../utils/createMaterialParameters"; - -export class DivergenceMaterial extends THREE.ShaderMaterial { - uniforms!: { - uVelocity: { value: THREE.Texture }; - texelSize: { value: THREE.Vector2 }; - }; -} - -export const useDivergenceMaterial = ({ onBeforeInit }: MaterialProps) => { - const divergenceMaterial = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uVelocity: { value: null }, - texelSize: { value: new THREE.Vector2() }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]); - - return divergenceMaterial as DivergenceMaterial; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useGradientSubtractMaterial.ts b/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useGradientSubtractMaterial.ts deleted file mode 100644 index 51a4e2cf..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useGradientSubtractMaterial.ts +++ /dev/null @@ -1,44 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import vertexShader from "../shaders/main.vert"; -import fragmentShader from "../shaders/gradientSubtract.frag"; -import { MaterialProps } from "../../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../../libs/constants"; -import { createMaterialParameters } from "../../../../utils/createMaterialParameters"; - -export class GradientSubtractMaterial extends THREE.ShaderMaterial { - uniforms!: { - uPressure: { value: THREE.Texture }; - uVelocity: { value: THREE.Texture }; - texelSize: { value: THREE.Vector2 }; - }; -} - -export const useGradientSubtractMaterial = ({ - onBeforeInit, -}: MaterialProps) => { - const gradientSubtractMaterial = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uPressure: { value: DEFAULT_TEXTURE }, - uVelocity: { value: DEFAULT_TEXTURE }, - texelSize: { value: new THREE.Vector2() }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]); - - return gradientSubtractMaterial as GradientSubtractMaterial; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useInitialMaterial.ts b/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useInitialMaterial.ts deleted file mode 100644 index 8a07b4a4..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useInitialMaterial.ts +++ /dev/null @@ -1,18 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import vertexShader from "../shaders/main.vert"; -import fragmentShader from "../shaders/init.frag"; -import { MATERIAL_BASIC_PARAMS } from "../../../../libs/constants"; - -export const useInitialMaterial = () => { - const initialMaterial = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - vertexShader: vertexShader, - fragmentShader: fragmentShader, - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, []); - - return initialMaterial as THREE.ShaderMaterial; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/usePressureMaterial.ts b/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/usePressureMaterial.ts deleted file mode 100644 index 1ae75981..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/usePressureMaterial.ts +++ /dev/null @@ -1,39 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import vertexShader from "../shaders/main.vert"; -import fragmentShader from "../shaders/pressure.frag"; -import { MaterialProps } from "../../../types"; -import { MATERIAL_BASIC_PARAMS } from "../../../../libs/constants"; -import { createMaterialParameters } from "../../../../utils/createMaterialParameters"; - -export class PressureMaterial extends THREE.ShaderMaterial { - uniforms!: { - uPressure: { value: THREE.Texture }; - uDivergence: { value: THREE.Texture }; - texelSize: { value: THREE.Vector2 }; - }; -} - -export const usePressureMaterial = ({ onBeforeInit }: MaterialProps) => { - const pressureMaterial = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uPressure: { value: null }, - uDivergence: { value: null }, - texelSize: { value: new THREE.Vector2() }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]); - - return pressureMaterial as PressureMaterial; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useSplatMaterial.ts b/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useSplatMaterial.ts deleted file mode 100644 index 2494fa80..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useSplatMaterial.ts +++ /dev/null @@ -1,48 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import vertexShader from "../shaders/main.vert"; -import fragmentShader from "../shaders/splat.frag"; -import { MaterialProps } from "../../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../../libs/constants"; -import { createMaterialParameters } from "../../../../utils/createMaterialParameters"; - -export class SplatMaterial extends THREE.ShaderMaterial { - uniforms!: { - uTarget: { value: THREE.Texture }; - aspectRatio: { value: number }; - color: { value: THREE.Vector3 | THREE.Color }; - point: { value: THREE.Vector2 }; - radius: { value: number }; - texelSize: { value: THREE.Vector2 }; - }; -} - -export const useSplatMaterial = ({ onBeforeInit }: MaterialProps) => { - const splatMaterial = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uTarget: { value: DEFAULT_TEXTURE }, - aspectRatio: { value: 0 }, - color: { value: new THREE.Vector3() }, - point: { value: new THREE.Vector2() }, - radius: { value: 0.0 }, - texelSize: { value: new THREE.Vector2() }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]); - - return splatMaterial as SplatMaterial; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useVorticityMaterial.ts b/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useVorticityMaterial.ts deleted file mode 100644 index fe5184b1..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/materials/useVorticityMaterial.ts +++ /dev/null @@ -1,43 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import vertexShader from "../shaders/main.vert"; -import fragmentShader from "../shaders/vorticity.frag"; -import { MaterialProps } from "../../../types"; -import { MATERIAL_BASIC_PARAMS } from "../../../../libs/constants"; -import { DELTA_TIME } from ".."; -import { createMaterialParameters } from "../../../../utils/createMaterialParameters"; - -export class VorticityMaterial extends THREE.ShaderMaterial { - uniforms!: { - uVelocity: { value: THREE.Texture }; - uCurl: { value: THREE.Texture }; - curl: { value: number }; - dt: { value: number }; - texelSize: { value: THREE.Vector2 }; - }; -} - -export const useVorticityMaterial = ({ onBeforeInit }: MaterialProps) => { - const vorticityMaterial = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uVelocity: { value: null }, - uCurl: { value: null }, - curl: { value: 0 }, - dt: { value: DELTA_TIME }, - texelSize: { value: new THREE.Vector2() }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]); - - return vorticityMaterial as VorticityMaterial; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/advection.frag b/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/advection.frag deleted file mode 100644 index 317a81d3..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/advection.frag +++ /dev/null @@ -1,13 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform sampler2D uVelocity; -uniform sampler2D uSource; -uniform vec2 texelSize; -uniform float dt; -uniform float dissipation; - -void main () { - vec2 coord = vUv - dt * texture2D(uVelocity, vUv).xy * texelSize; - gl_FragColor = vec4(dissipation * texture2D(uSource, coord).rgb,1.); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/clear.frag b/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/clear.frag deleted file mode 100644 index 4f4e9dc6..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/clear.frag +++ /dev/null @@ -1,9 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform sampler2D uTexture; -uniform float value; - -void main () { - gl_FragColor = value * texture2D(uTexture, vUv); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/curl.frag b/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/curl.frag deleted file mode 100644 index a2b7a5ec..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/curl.frag +++ /dev/null @@ -1,17 +0,0 @@ -precision highp float; - -varying vec2 vUv; -varying vec2 vL; -varying vec2 vR; -varying vec2 vT; -varying vec2 vB; -uniform sampler2D uVelocity; - -void main () { - float L = texture2D(uVelocity, vL).y; - float R = texture2D(uVelocity, vR).y; - float T = texture2D(uVelocity, vT).x; - float B = texture2D(uVelocity, vB).x; - float vorticity = R - L - T + B; - gl_FragColor = vec4(vorticity, 0.0, 0.0, 1.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/divergence.frag b/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/divergence.frag deleted file mode 100644 index 610a263c..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/divergence.frag +++ /dev/null @@ -1,25 +0,0 @@ -precision highp float; - -varying vec2 vUv; -varying vec2 vL; -varying vec2 vR; -varying vec2 vT; -varying vec2 vB; -uniform sampler2D uVelocity; - -vec2 sampleVelocity(in vec2 uv) { - vec2 clampedUV = clamp(uv, 0.0, 1.0); - vec2 multiplier = vec2(1.0, 1.0); - multiplier.x = uv.x < 0.0 || uv.x > 1.0 ? -1.0 : 1.0; - multiplier.y = uv.y < 0.0 || uv.y > 1.0 ? -1.0 : 1.0; - return multiplier * texture2D(uVelocity, clampedUV).xy; -} - -void main () { - float L = sampleVelocity(vL).x; - float R = sampleVelocity(vR).x; - float T = sampleVelocity(vT).y; - float B = sampleVelocity(vB).y; - float div = 0.5 * (R - L + T - B); - gl_FragColor = vec4(div, 0.0, 0.0, 1.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/gradientSubtract.frag b/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/gradientSubtract.frag deleted file mode 100644 index 07f49836..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/gradientSubtract.frag +++ /dev/null @@ -1,19 +0,0 @@ -precision highp float; - -varying vec2 vUv; -varying vec2 vL; -varying vec2 vR; -varying vec2 vT; -varying vec2 vB; -uniform sampler2D uPressure; -uniform sampler2D uVelocity; - -void main () { - float L = texture2D(uPressure, clamp(vL,0.,1.)).x; - float R = texture2D(uPressure, clamp(vR,0.,1.)).x; - float T = texture2D(uPressure, clamp(vT,0.,1.)).x; - float B = texture2D(uPressure, clamp(vB,0.,1.)).x; - vec2 velocity = texture2D(uVelocity, vUv).xy; - velocity.xy -= vec2(R - L, T - B); - gl_FragColor = vec4(velocity, 0.0, 1.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/init.frag b/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/init.frag deleted file mode 100644 index 3ebccbe5..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/init.frag +++ /dev/null @@ -1,5 +0,0 @@ -precision highp float; - -void main(){ - gl_FragColor = vec4(0.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/main.vert b/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/main.vert deleted file mode 100644 index f747b308..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/main.vert +++ /dev/null @@ -1,15 +0,0 @@ -varying vec2 vUv; -varying vec2 vL; -varying vec2 vR; -varying vec2 vT; -varying vec2 vB; -uniform vec2 texelSize; - -void main () { - vUv = uv; - vL = vUv - vec2(texelSize.x, 0.0); - vR = vUv + vec2(texelSize.x, 0.0); - vT = vUv + vec2(0.0, texelSize.y); - vB = vUv - vec2(0.0, texelSize.y); - gl_Position = vec4(position, 1.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/pressure.frag b/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/pressure.frag deleted file mode 100644 index ea49d28d..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/pressure.frag +++ /dev/null @@ -1,20 +0,0 @@ -precision highp float; - -varying vec2 vUv; -varying vec2 vL; -varying vec2 vR; -varying vec2 vT; -varying vec2 vB; -uniform sampler2D uPressure; -uniform sampler2D uDivergence; - -void main () { - float L = texture2D(uPressure, clamp(vL,0.,1.)).x; - float R = texture2D(uPressure, clamp(vR,0.,1.)).x; - float T = texture2D(uPressure, clamp(vT,0.,1.)).x; - float B = texture2D(uPressure, clamp(vB,0.,1.)).x; - float C = texture2D(uPressure, vUv).x; - float divergence = texture2D(uDivergence, vUv).x; - float pressure = (L + R + B + T - divergence) * 0.25; - gl_FragColor = vec4(pressure, 0.0, 0.0, 1.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/splat.frag b/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/splat.frag deleted file mode 100644 index 62ef72df..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/splat.frag +++ /dev/null @@ -1,17 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform sampler2D uTarget; -uniform float aspectRatio; -uniform vec3 color; -uniform vec2 point; -uniform float radius; - -void main () { - vec2 nPoint = (point + vec2(1.0)) * 0.5; - vec2 p = vUv - nPoint.xy; - p.x *= aspectRatio; - vec3 splat = exp(-dot(p, p) / radius) * color; - vec3 base = texture2D(uTarget, vUv).xyz; - gl_FragColor = vec4(base + splat, 1.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/vorticity.frag b/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/vorticity.frag deleted file mode 100644 index 2d5b5f1a..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/shaders/vorticity.frag +++ /dev/null @@ -1,19 +0,0 @@ -precision highp float; - -varying vec2 vUv; -varying vec2 vT; -varying vec2 vB; -uniform sampler2D uVelocity; -uniform sampler2D uCurl; -uniform float curl; -uniform float dt; - -void main () { - float T = texture2D(uCurl, vT).x; - float B = texture2D(uCurl, vB).x; - float C = texture2D(uCurl, vUv).x; - vec2 force = vec2(abs(T) - abs(B), 0.0); - force *= 1.0 / length(force + 0.00001) * curl * C; - vec2 vel = texture2D(uVelocity, vUv).xy; - gl_FragColor = vec4(vel + force * dt, 0.0, 1.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useFluid/useMesh.ts b/packages/use-shader-fx/src/fxs/simulations/useFluid/useMesh.ts deleted file mode 100644 index 2ffd8e83..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useFluid/useMesh.ts +++ /dev/null @@ -1,180 +0,0 @@ -import * as THREE from "three"; -import { useCallback, useEffect, useMemo } from "react"; -import { useInitialMaterial } from "./materials/useInitialMaterial"; -import { - AdvectionMaterial, - useAdvectionMaterial, -} from "./materials/useAdvectionMaterial"; -import { - DivergenceMaterial, - useDivergenceMaterial, -} from "./materials/useDivergenceMaterial"; -import { - PressureMaterial, - usePressureMaterial, -} from "./materials/usePressureMaterial"; -import { CurlMaterial, useCurlMaterial } from "./materials/useCurlMaterial"; -import { - VorticityMaterial, - useVorticityMaterial, -} from "./materials/useVorticityMaterial"; -import { useResolution } from "../../../utils/useResolution"; -import { ClearMaterial, useClearMaterial } from "./materials/useClearMaterial"; -import { - GradientSubtractMaterial, - useGradientSubtractMaterial, -} from "./materials/useGradientSubtractMaterial"; -import { SplatMaterial, useSplatMaterial } from "./materials/useSplatMaterial"; -import { CustomParams, setUniform } from "../../../utils/setUniforms"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps, Size } from "../../types"; - -type TMaterials = - | AdvectionMaterial - | DivergenceMaterial - | CurlMaterial - | PressureMaterial - | ClearMaterial - | GradientSubtractMaterial - | SplatMaterial; - -export type FluidMaterials = { - vorticityMaterial: VorticityMaterial; - curlMaterial: CurlMaterial; - advectionMaterial: AdvectionMaterial; - divergenceMaterial: DivergenceMaterial; - pressureMaterial: PressureMaterial; - clearMaterial: ClearMaterial; - gradientSubtractMaterial: GradientSubtractMaterial; - splatMaterial: SplatMaterial; -}; - -export type CustomizableKeys = - | "advection" - | "splat" - | "curl" - | "vorticity" - | "divergence" - | "clear" - | "pressure" - | "gradientSubtract"; - -export type CustomFluidProps = { - [K in CustomizableKeys]?: MaterialProps; -}; -export type CustomFluidParams = { - [K in CustomizableKeys]?: CustomParams; -}; - -const useCustomMaterial = <T extends THREE.Material>( - materialHook: (materialProps: MaterialProps) => T, - materialProps?: MaterialProps -) => { - return materialHook(materialProps ?? {}); -}; - -/** - * Returns the material update function in the second argument - */ -export const useMesh = ({ - scene, - size, - dpr, - customFluidProps, -}: { - scene: THREE.Scene; - size: Size; - dpr: number | false; - customFluidProps?: CustomFluidProps; -}) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - - const { - curl, - vorticity, - advection, - divergence, - pressure, - clear, - gradientSubtract, - splat, - } = customFluidProps ?? {}; - - const initialMaterial = useCustomMaterial(useInitialMaterial); - const updateMaterial = initialMaterial.clone(); - const curlMaterial = useCustomMaterial(useCurlMaterial, curl); - const vorticityMaterial = useCustomMaterial(useVorticityMaterial, vorticity); - const advectionMaterial = useCustomMaterial(useAdvectionMaterial, advection); - const divergenceMaterial = useCustomMaterial( - useDivergenceMaterial, - divergence - ); - const pressureMaterial = useCustomMaterial(usePressureMaterial, pressure); - const clearMaterial = useCustomMaterial(useClearMaterial, clear); - const gradientSubtractMaterial = useCustomMaterial( - useGradientSubtractMaterial, - gradientSubtract - ); - const splatMaterial = useCustomMaterial(useSplatMaterial, splat); - const materials = useMemo( - () => ({ - vorticityMaterial, - curlMaterial, - advectionMaterial, - divergenceMaterial, - pressureMaterial, - clearMaterial, - gradientSubtractMaterial, - splatMaterial, - }), - [ - vorticityMaterial, - curlMaterial, - advectionMaterial, - divergenceMaterial, - pressureMaterial, - clearMaterial, - gradientSubtractMaterial, - splatMaterial, - ] - ); - - const resolution = useResolution(size, dpr); - useMemo(() => { - setUniform(materials.splatMaterial)( - "aspectRatio", - resolution.x / resolution.y - ); - for (const material of Object.values(materials)) { - setUniform<typeof material.uniforms>(material)( - "texelSize", - new THREE.Vector2(1.0 / resolution.x, 1.0 / resolution.y) - ); - } - }, [resolution, materials]); - - const mesh = useAddObject(scene, geometry, initialMaterial, THREE.Mesh); - - useMemo(() => { - initialMaterial.dispose(); - mesh.material = updateMaterial; - }, [initialMaterial, mesh, updateMaterial]); - - useEffect(() => { - return () => { - for (const material of Object.values(materials)) { - material.dispose(); - } - }; - }, [materials]); - - const setMeshMaterial = useCallback( - (material: TMaterials) => { - mesh.material = material; - mesh.material.needsUpdate = true; - }, - [mesh] - ); - - return { materials, setMeshMaterial, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useRipple/index.ts b/packages/use-shader-fx/src/fxs/simulations/useRipple/index.ts deleted file mode 100644 index c95743f7..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useRipple/index.ts +++ /dev/null @@ -1,155 +0,0 @@ -import { useCallback, useMemo, useRef } from "react"; -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { usePointer, PointerValues } from "../../../misc/usePointer"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { getDpr } from "../../../utils/getDpr"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; - -export type RippleParams = { - /** How often ripples appear, default : `0.01` */ - frequency?: number; - /** rotation rate, default : `0.05` */ - rotation?: number; - /** fadeout speed, default : `0.9` */ - fadeoutSpeed?: number; - /** scale rate, default : `0.3` */ - scale?: number; - /** alpha, default : `0.6` */ - alpha?: number; - /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */ - pointerValues?: PointerValues | false; -}; - -export type RippleObject = { - scene: THREE.Scene; - meshArr: THREE.Mesh[]; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const RIPPLE_PARAMS: RippleParams = Object.freeze({ - frequency: 0.01, - rotation: 0.05, - fadeoutSpeed: 0.9, - scale: 0.3, - alpha: 0.6, - pointerValues: false, -}); - -interface UseRippleProps extends HooksProps { - /** texture applied to ripple */ - texture?: THREE.Texture; - /** ripple size, default:64 */ - scale?: number; - /** ripple max length, default:100 */ - max?: number; -} - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useRipple = ({ - texture, - scale = 64, - max = 100, - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: UseRippleProps): HooksReturn<RippleParams, RippleObject, CustomParams> => { - const _dpr = getDpr(dpr); - const scene = useMemo(() => new THREE.Scene(), []); - const meshArr = useMesh({ - scale: scale, - max: max, - texture, - scene, - onBeforeInit, - }); - const camera = useCamera(size); - const updatePointer = usePointer(); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<RippleParams>(RIPPLE_PARAMS); - - const currentWave = useRef(0); - - const updateParams = useMemo(() => { - return (newParams?: RippleParams, customParams?: CustomParams) => { - setParams(newParams); - meshArr.forEach((mesh) => { - if (mesh.visible) { - const material = mesh.material as THREE.ShaderMaterial; - mesh.rotation.z += params.rotation!; - mesh.scale.x = - params.fadeoutSpeed! * mesh.scale.x + params.scale!; - mesh.scale.y = mesh.scale.x; - const opacity = material.uniforms.uOpacity.value; - setUniform(material)("uOpacity", opacity * params.fadeoutSpeed!); - if (opacity < 0.001) mesh.visible = false; - } - setCustomUniform(mesh.material)(customParams); - }); - }; - }, [meshArr, params, setParams]); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: RippleParams, - customParams?: CustomParams - ) => { - const { gl, pointer, size } = rootState; - - updateParams(newParams, customParams); - - const pointerValues = params.pointerValues! || updatePointer(pointer); - - if (params.frequency! < pointerValues.diffPointer.length()) { - const mesh = meshArr[currentWave.current]; - const material = mesh.material as THREE.ShaderMaterial; - mesh.visible = true; - mesh.position.set( - pointerValues.currentPointer.x * (size.width / 2), - pointerValues.currentPointer.y * (size.height / 2), - 0 - ); - mesh.scale.x = mesh.scale.y = 0.0; - setUniform(material)("uOpacity", params.alpha!); - currentWave.current = (currentWave.current + 1) % max; - } - - return updateRenderTarget(gl); - }, - [updateRenderTarget, meshArr, updatePointer, max, params, updateParams] - ); - return [ - updateFx, - updateParams, - { - scene: scene, - camera: camera, - meshArr: meshArr, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/simulations/useRipple/shader/main.frag b/packages/use-shader-fx/src/fxs/simulations/useRipple/shader/main.frag deleted file mode 100644 index bc672882..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useRipple/shader/main.frag +++ /dev/null @@ -1,12 +0,0 @@ -precision highp float; - -uniform sampler2D uMap; -uniform float uOpacity; - -varying vec2 vUv; - -void main() { - vec2 uv = vUv; - vec3 color = texture2D(uMap, uv).rgb; - gl_FragColor = vec4(color,uOpacity); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useRipple/shader/main.vert b/packages/use-shader-fx/src/fxs/simulations/useRipple/shader/main.vert deleted file mode 100644 index c02acc76..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useRipple/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <defaultVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/simulations/useRipple/useMesh.ts b/packages/use-shader-fx/src/fxs/simulations/useRipple/useMesh.ts deleted file mode 100644 index 296d58c9..00000000 --- a/packages/use-shader-fx/src/fxs/simulations/useRipple/useMesh.ts +++ /dev/null @@ -1,80 +0,0 @@ -import * as THREE from "three"; -import { useEffect, useMemo } from "react"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { MaterialProps } from "../../types"; -import { - DEFAULT_TEXTURE, - MATERIAL_BASIC_PARAMS, -} from "../../../libs/constants"; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -type UseMeshProps = { - scale: number; - max: number; - scene: THREE.Scene; - texture?: THREE.Texture; -}; - -export const useMesh = ({ - scale, - max, - texture, - scene, - onBeforeInit, -}: UseMeshProps & MaterialProps) => { - const geometry = useMemo( - () => new THREE.PlaneGeometry(scale, scale), - [scale] - ); - - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uOpacity: { value: 0.0 }, - uMap: { value: texture || DEFAULT_TEXTURE }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - blending: THREE.AdditiveBlending, - ...MATERIAL_BASIC_PARAMS, - // Must be transparent. - transparent: true, - }); - return mat; - }, [texture, onBeforeInit]); - - const meshArr = useMemo(() => { - const temp = []; - for (let i = 0; i < max; i++) { - const clonedMat = material.clone(); - const mesh = new THREE.Mesh(geometry.clone(), clonedMat); - mesh.rotateZ(2 * Math.PI * Math.random()); - mesh.visible = false; - scene.add(mesh); - temp.push(mesh); - } - return temp; - }, [geometry, material, scene, max]); - - useEffect(() => { - return () => { - meshArr.forEach((mesh) => { - mesh.geometry.dispose(); - if (Array.isArray(mesh.material)) { - mesh.material.forEach((material) => material.dispose()); - } else { - mesh.material.dispose(); - } - scene.remove(mesh); - }); - }; - }, [scene, meshArr]); - - return meshArr; -}; diff --git a/packages/use-shader-fx/src/fxs/types/index.ts b/packages/use-shader-fx/src/fxs/types/index.ts deleted file mode 100644 index 381ec33b..00000000 --- a/packages/use-shader-fx/src/fxs/types/index.ts +++ /dev/null @@ -1,71 +0,0 @@ -import * as THREE from "three"; -import { RootState } from "@react-three/fiber"; - -export type Size = { width: number; height: number }; - -export type Dpr = - | number - | { - /** you can set whether `dpr` affects `shader`. default : `false` */ - shader?: false | number; - /** you can set whether `dpr` affects `fbo`. default : `false` */ - fbo?: false | number; - }; - -export type OnBeforeInitParameters = { - uniforms: { [uniform: string]: THREE.IUniform }; - fragmentShader: string; - vertexShader: string; -}; - -export type MaterialProps = { - /** - * An optional callback that is executed immediately before the shader program is initialised. This function is called with the shader source code as a parameter. Useful for the modification of built-in materials. - * @param parameters {fragmentShader, vertexShader, uniforms} - */ - onBeforeInit?: (parameters: OnBeforeInitParameters) => void; -}; - -export interface HooksProps extends MaterialProps { - /** Width,Height in pixels, or `size` from r3f */ - size: Size; - /** Pixel-ratio, use `window.devicePixelRatio` or viewport.dpr from r3f */ - dpr: Dpr; - /** Whether to `setSize` the FBO when updating size or dpr. default : `false` */ - isSizeUpdate?: boolean; - /** - * @type `THREE.RenderTargetOptions` - * @param depthBuffer Unlike the default in three.js, the default is `false`. - */ - renderTargetOptions?: THREE.RenderTargetOptions; -} - -/** - * @returns {HooksReturn<T, O, C>} - * updateFx - Functions to update parameters and render. - * updateParams - Function to update parameters only. - * fxObject - An object containing various FX components such as scene, camera, material, and render target. - * - * @template T The type for the parameters of the hooks. - * @template O The type for the FX object. - * @template C The type for the custom parameters. - */ -export type HooksReturn<T, O, C> = [ - /** - * Functions to update parameters and render. - * @param rootState RootState - * @param newParams params of fxHooks - * @param customParams custom params, added to `uniforms` during initialisation - */ - (rootState: RootState, newParams?: T, customParams?: C) => THREE.Texture, - /** - * Function to update parameters only. - * @param newParams params of fxHooks - * @param customParams custom params, added to `uniforms` during initialisation - */ - (newParams?: T, customParams?: C) => void, - /** - * Contains each part of FX such as scene, camera, material, render target, etc. - */ - O -]; diff --git a/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/index.ts b/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/index.ts deleted file mode 100644 index 88293c18..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/index.ts +++ /dev/null @@ -1,115 +0,0 @@ -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { useCallback, useMemo } from "react"; -import { RootState } from "@react-three/fiber"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { getDpr } from "../../../utils/getDpr"; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type AlphaBlendingParams = { - /** default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** alpha map , default : `THREE.Texture()` */ - map?: THREE.Texture; -}; - -export type AlphaBlendingObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const ALPHABLENDING_PARAMS: AlphaBlendingParams = Object.freeze({ - texture: DEFAULT_TEXTURE, - map: DEFAULT_TEXTURE, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useAlphaBlending = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn< - AlphaBlendingParams, - AlphaBlendingObject, - CustomParams -> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ - scene, - size, - onBeforeInit, - }); - const camera = useCamera(size); - - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = - useParams<AlphaBlendingParams>(ALPHABLENDING_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: AlphaBlendingParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: AlphaBlendingParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("uTexture", params.texture!); - updateValue("uMap", params.map!); - - return updateRenderTarget(gl); - }, - [updateValue, updateRenderTarget, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/shader/main.frag b/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/shader/main.frag deleted file mode 100644 index 589e440a..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/shader/main.frag +++ /dev/null @@ -1,14 +0,0 @@ -precision highp float; - -uniform sampler2D uTexture; -uniform sampler2D uMap; - -varying vec2 vUv; - -void main() { - vec2 uv = vUv; - vec4 tex = texture2D(uTexture, uv); - vec4 map = texture2D(uMap, uv); - gl_FragColor = mix(tex,map,map.a); -} - diff --git a/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/shader/main.vert b/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/useMesh.ts b/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/useMesh.ts deleted file mode 100644 index d3a1f1db..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useAlphaBlending/useMesh.ts +++ /dev/null @@ -1,50 +0,0 @@ -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useMemo } from "react"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps, Size } from "../../types"; -import { - DEFAULT_TEXTURE, - MATERIAL_BASIC_PARAMS, -} from "../../../libs/constants"; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class AlphaBlendingMaterial extends THREE.ShaderMaterial { - uniforms!: { - uTexture: { value: THREE.Texture }; - uMap: { value: THREE.Texture }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { - scene: THREE.Scene; - size: Size; -} & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uTexture: { value: DEFAULT_TEXTURE }, - uMap: { value: DEFAULT_TEXTURE }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]) as AlphaBlendingMaterial; - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useBlending/index.ts b/packages/use-shader-fx/src/fxs/utils/useBlending/index.ts deleted file mode 100644 index be428d69..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useBlending/index.ts +++ /dev/null @@ -1,141 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { getDpr } from "../../../utils/getDpr"; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type BlendingParams = { - /** Make this texture Blending , default : `THREE.Texture` */ - texture?: THREE.Texture; - /** map texture, default : `THREE.Texture` */ - map?: THREE.Texture; - /** map strength , r,g value are affecting , default : `0.3` */ - mapIntensity?: number; - /** Alpha blending is performed using the alpha of the set texture. , default : `false` */ - alphaMap?: THREE.Texture | false; - /** default : `(0.5,0.5,0.5)` */ - brightness?: THREE.Vector3; - /** default : `0.0` */ - min?: number; - /** default : `1.0` */ - max?: number; - /** If set, this value will apply color dodge , default : `false` */ - dodgeColor?: THREE.Color | false; -}; - -export type BlendingObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const BLENDING_PARAMS: BlendingParams = Object.freeze({ - texture: DEFAULT_TEXTURE, - map: DEFAULT_TEXTURE, - alphaMap: false, - mapIntensity: 0.3, - brightness: new THREE.Vector3(0.5, 0.5, 0.5), - min: 0.0, - max: 1.0, - dodgeColor: false, -}); - -/** - * Blend map to texture. You can set the threshold for blending with brightness. You can set the dodge color by setting color. -If you don't want to reflect the map's color, you can use useFxBlending instead. - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useBlending = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn<BlendingParams, BlendingObject, CustomParams> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ scene, onBeforeInit }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<BlendingParams>(BLENDING_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: BlendingParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: BlendingParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("u_texture", params.texture!); - updateValue("uMap", params.map!); - updateValue("uMapIntensity", params.mapIntensity!); - if (params.alphaMap) { - updateValue("u_alphaMap", params.alphaMap!); - updateValue("u_isAlphaMap", true); - } else { - updateValue("u_isAlphaMap", false); - } - updateValue("u_brightness", params.brightness!); - updateValue("u_min", params.min!); - updateValue("u_max", params.max!); - if (params.dodgeColor) { - updateValue("u_dodgeColor", params.dodgeColor); - updateValue("u_isDodgeColor", true); - } else { - updateValue("u_isDodgeColor", false); - } - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useBlending/shader/main.frag b/packages/use-shader-fx/src/fxs/utils/useBlending/shader/main.frag deleted file mode 100644 index 49b9d7c7..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useBlending/shader/main.frag +++ /dev/null @@ -1,35 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform sampler2D u_texture; -uniform sampler2D uMap; -uniform bool u_isAlphaMap; -uniform sampler2D u_alphaMap; -uniform float uMapIntensity; -uniform vec3 u_brightness; -uniform float u_min; -uniform float u_max; -uniform vec3 u_dodgeColor; -uniform bool u_isDodgeColor; - -void main() { - vec2 uv = vUv; - - #usf <fxBlending> - - // color blending - float brightness = dot(mapColor,u_brightness); - vec4 textureMap = texture2D(u_texture, uv); - float blendValue = smoothstep(u_min, u_max, brightness); - - // set dodge color - vec3 dodgeColor = u_isDodgeColor ? u_dodgeColor : mapColor; - vec3 outputColor = blendValue * dodgeColor + (1.0 - blendValue) * textureMap.rgb; - - // alpha blending - float alpha = u_isAlphaMap ? texture2D(u_alphaMap, uv).a : textureMap.a; - float mixValue = u_isAlphaMap ? alpha : 0.0; - vec3 alphaColor = vec3(mix(outputColor,mapColor,mixValue)); - - gl_FragColor = vec4(alphaColor,alpha); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useBlending/shader/main.vert b/packages/use-shader-fx/src/fxs/utils/useBlending/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useBlending/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useBlending/useMesh.ts b/packages/use-shader-fx/src/fxs/utils/useBlending/useMesh.ts deleted file mode 100644 index a05493c8..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useBlending/useMesh.ts +++ /dev/null @@ -1,62 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps } from "../../types"; -import { - DEFAULT_TEXTURE, - MATERIAL_BASIC_PARAMS, -} from "../../../libs/constants"; -import { BLENDING_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class BlendingMaterial extends THREE.ShaderMaterial { - uniforms!: { - u_texture: { value: THREE.Texture }; - uMap: { value: THREE.Texture }; - u_alphaMap: { value: THREE.Texture }; - u_isAlphaMap: { value: boolean }; - uMapIntensity: { value: number }; - u_brightness: { value: THREE.Vector3 }; - u_min: { value: number }; - u_max: { value: number }; - u_dodgeColor: { value: THREE.Color }; - u_isDodgeColor: { value: boolean }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { scene: THREE.Scene } & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - u_texture: { value: DEFAULT_TEXTURE }, - uMap: { value: DEFAULT_TEXTURE }, - u_alphaMap: { value: DEFAULT_TEXTURE }, - u_isAlphaMap: { value: false }, - uMapIntensity: { value: BLENDING_PARAMS.mapIntensity }, - u_brightness: { value: BLENDING_PARAMS.brightness }, - u_min: { value: BLENDING_PARAMS.min }, - u_max: { value: BLENDING_PARAMS.max }, - u_dodgeColor: { value: new THREE.Color() }, - u_isDodgeColor: { value: false }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - - return mat; - }, [onBeforeInit]) as BlendingMaterial; - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/index.ts b/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/index.ts deleted file mode 100644 index b69f10f7..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/index.ts +++ /dev/null @@ -1,118 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { getDpr } from "../../../utils/getDpr"; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type BrightnessPickerParams = { - /** pick brightness from this texture , default : `THREE.Texture` */ - texture?: THREE.Texture; - /** default : `(0.5,0.5,0.5)` */ - brightness?: THREE.Vector3; - /** default : `0.0` */ - min?: number; - /** default : `1.0` */ - max?: number; -}; - -export type BrightnessPickerObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const BRIGHTNESSPICKER_PARAMS: BrightnessPickerParams = Object.freeze({ - texture: DEFAULT_TEXTURE, - brightness: new THREE.Vector3(0.5, 0.5, 0.5), - min: 0.0, - max: 1.0, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useBrightnessPicker = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn< - BrightnessPickerParams, - BrightnessPickerObject, - CustomParams -> => { - const _dpr = getDpr(dpr); - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ scene, onBeforeInit }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<BrightnessPickerParams>( - BRIGHTNESSPICKER_PARAMS - ); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: BrightnessPickerParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: BrightnessPickerParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("u_texture", params.texture!); - updateValue("u_brightness", params.brightness!); - updateValue("u_min", params.min!); - updateValue("u_max", params.max!); - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/shader/main.frag b/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/shader/main.frag deleted file mode 100644 index a941d66d..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/shader/main.frag +++ /dev/null @@ -1,15 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform sampler2D u_texture; -uniform vec3 u_brightness; -uniform float u_min; -uniform float u_max; - -void main() { - vec2 uv = vUv; - vec3 color = texture2D(u_texture, uv).rgb; - float brightness = dot(color,u_brightness); - float alpha = clamp(smoothstep(u_min, u_max, brightness),0.0,1.0); - gl_FragColor = vec4(color, alpha); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/shader/main.vert b/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/useMesh.ts b/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/useMesh.ts deleted file mode 100644 index 88d3adf4..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useBrightnessPicker/useMesh.ts +++ /dev/null @@ -1,49 +0,0 @@ -import * as THREE from "three"; -import { useMemo } from "react"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps } from "../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { BRIGHTNESSPICKER_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class BrightnessPickerMaterial extends THREE.ShaderMaterial { - uniforms!: { - u_texture: { value: THREE.Texture }; - u_brightness: { value: THREE.Vector3 }; - u_min: { value: number }; - u_max: { value: number }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { scene: THREE.Scene } & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - u_texture: { value: DEFAULT_TEXTURE }, - u_brightness: { value: BRIGHTNESSPICKER_PARAMS.brightness }, - u_min: { value: BRIGHTNESSPICKER_PARAMS.min }, - u_max: { value: BRIGHTNESSPICKER_PARAMS.max }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]) as BrightnessPickerMaterial; - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useCoverTexture/index.ts b/packages/use-shader-fx/src/fxs/utils/useCoverTexture/index.ts deleted file mode 100644 index 37b57e62..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useCoverTexture/index.ts +++ /dev/null @@ -1,114 +0,0 @@ -import * as THREE from "three"; -import { useCallback, useMemo } from "react"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { getDpr } from "../../../utils/getDpr"; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type CoverTextureParams = { - /** Textures that you want to display exactly on the screen , default : `THREE.Texture()` */ - texture?: THREE.Texture; -}; - -export type CoverTextureObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const COVERTEXTURE_PARAMS: CoverTextureParams = Object.freeze({ - texture: DEFAULT_TEXTURE, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useCoverTexture = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn< - CoverTextureParams, - CoverTextureObject, - CustomParams -> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ - scene, - size, - dpr: _dpr.shader, - onBeforeInit, - }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - dpr: _dpr.fbo, - size, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = - useParams<CoverTextureParams>(COVERTEXTURE_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: CoverTextureParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: CoverTextureParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("uTexture", params.texture!); - updateValue("uTextureResolution", [ - params.texture!?.source?.data?.width || 0, - params.texture!?.source?.data?.height || 0, - ]); - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useCoverTexture/shader/main.frag b/packages/use-shader-fx/src/fxs/utils/useCoverTexture/shader/main.frag deleted file mode 100644 index 45a8d456..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useCoverTexture/shader/main.frag +++ /dev/null @@ -1,13 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform vec2 uResolution; -uniform vec2 uTextureResolution; -uniform sampler2D uTexture; - -void main() { - #usf <coverTexture> - - gl_FragColor = texture2D(uTexture, uv); -} - diff --git a/packages/use-shader-fx/src/fxs/utils/useCoverTexture/shader/main.vert b/packages/use-shader-fx/src/fxs/utils/useCoverTexture/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useCoverTexture/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useCoverTexture/useMesh.ts b/packages/use-shader-fx/src/fxs/utils/useCoverTexture/useMesh.ts deleted file mode 100644 index 5da036ba..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useCoverTexture/useMesh.ts +++ /dev/null @@ -1,59 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import { useResolution } from "../../../utils/useResolution"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { setUniform } from "../../../utils/setUniforms"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps, Size } from "../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class FxTextureMaterial extends THREE.ShaderMaterial { - uniforms!: { - uResolution: { value: THREE.Vector2 }; - uTextureResolution: { value: THREE.Vector2 }; - uTexture: { value: THREE.Texture }; - }; -} - -export const useMesh = ({ - scene, - size, - dpr, - onBeforeInit, -}: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uResolution: { value: new THREE.Vector2() }, - uTextureResolution: { value: new THREE.Vector2() }, - uTexture: { value: DEFAULT_TEXTURE }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]) as FxTextureMaterial; - - const resolution = useResolution(size, dpr); - setUniform(material)("uResolution", resolution.clone()); - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useDuoTone/index.ts b/packages/use-shader-fx/src/fxs/utils/useDuoTone/index.ts deleted file mode 100644 index e5acc2eb..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useDuoTone/index.ts +++ /dev/null @@ -1,109 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { DuoToneMaterial, useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { getDpr } from "../../../utils/getDpr"; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type DuoToneParams = { - /** Make this texture duotone , Default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** 1st color ,　Default : `THREE.Color(0xffffff)` */ - color0?: THREE.Color; - /** 2nd color , Default : `THREE.Color(0x000000)` */ - color1?: THREE.Color; -}; - -export type DuoToneObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: DuoToneMaterial; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const DUOTONE_PARAMS: DuoToneParams = Object.freeze({ - texture: DEFAULT_TEXTURE, - color0: new THREE.Color(0xffffff), - color1: new THREE.Color(0x000000), -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useDuoTone = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn<DuoToneParams, DuoToneObject, CustomParams> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ scene, onBeforeInit }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<DuoToneParams>(DUOTONE_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: DuoToneParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: DuoToneParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("uTexture", params.texture!); - updateValue("uColor0", params.color0!); - updateValue("uColor1", params.color1!); - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useDuoTone/shader/main.frag b/packages/use-shader-fx/src/fxs/utils/useDuoTone/shader/main.frag deleted file mode 100644 index eea6b236..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useDuoTone/shader/main.frag +++ /dev/null @@ -1,15 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform sampler2D uTexture; - -uniform vec3 uColor0; -uniform vec3 uColor1; - -void main() { - vec2 uv = vUv; - vec4 texColor = texture2D(uTexture, uv); - float grayscale = dot(texColor.rgb, vec3(0.299, 0.587, 0.114)); - vec3 duotone = mix(uColor0, uColor1, grayscale); - gl_FragColor = vec4(duotone, texColor.a); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useDuoTone/shader/main.vert b/packages/use-shader-fx/src/fxs/utils/useDuoTone/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useDuoTone/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useDuoTone/useMesh.ts b/packages/use-shader-fx/src/fxs/utils/useDuoTone/useMesh.ts deleted file mode 100644 index 4a66f970..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useDuoTone/useMesh.ts +++ /dev/null @@ -1,47 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps } from "../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { DUOTONE_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class DuoToneMaterial extends THREE.ShaderMaterial { - uniforms!: { - uTexture: { value: THREE.Texture }; - uColor0: { value: THREE.Color }; - uColor1: { value: THREE.Color }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { scene: THREE.Scene } & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uTexture: { value: DEFAULT_TEXTURE }, - uColor0: { value: DUOTONE_PARAMS.color0 }, - uColor1: { value: DUOTONE_PARAMS.color1 }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]) as DuoToneMaterial; - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useFxBlending/index.ts b/packages/use-shader-fx/src/fxs/utils/useFxBlending/index.ts deleted file mode 100644 index b93a1745..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useFxBlending/index.ts +++ /dev/null @@ -1,114 +0,0 @@ -import { useCallback, useMemo } from "react"; -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { getDpr } from "../../../utils/getDpr"; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type FxBlendingParams = { - /** Make this texture Blending , default : `THREE.Texture` */ - texture?: THREE.Texture; - /** map texture, default : `THREE.Texture` */ - map?: THREE.Texture; - /** map strength , r,g value are affecting , default : `0.3` */ - mapIntensity?: number; -}; - -export type FxBlendingObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const FXBLENDING_PARAMS: FxBlendingParams = Object.freeze({ - texture: DEFAULT_TEXTURE, - map: DEFAULT_TEXTURE, - mapIntensity: 0.3, -}); - -/** - * Blend map to texture. You can change the intensity of fx applied by the rg value of map. Unlike "useBlending", the map color is not reflected. - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useFxBlending = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn< - FxBlendingParams, - FxBlendingObject, - CustomParams -> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ scene, onBeforeInit }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<FxBlendingParams>(FXBLENDING_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: FxBlendingParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: FxBlendingParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("u_texture", params.texture!); - updateValue("uMap", params.map!); - updateValue("uMapIntensity", params.mapIntensity!); - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useFxBlending/shader/main.frag b/packages/use-shader-fx/src/fxs/utils/useFxBlending/shader/main.frag deleted file mode 100644 index 666aa5c6..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useFxBlending/shader/main.frag +++ /dev/null @@ -1,14 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform sampler2D u_texture; -uniform sampler2D uMap; -uniform float uMapIntensity; - -void main() { - vec2 uv = vUv; - - #usf <fxBlending> - - gl_FragColor = texture2D(u_texture, uv); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useFxBlending/shader/main.vert b/packages/use-shader-fx/src/fxs/utils/useFxBlending/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useFxBlending/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useFxBlending/useMesh.ts b/packages/use-shader-fx/src/fxs/utils/useFxBlending/useMesh.ts deleted file mode 100644 index 1149c680..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useFxBlending/useMesh.ts +++ /dev/null @@ -1,48 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps } from "../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { FXBLENDING_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class FxBlendingMaterial extends THREE.ShaderMaterial { - uniforms!: { - u_texture: { value: THREE.Texture }; - uMap: { value: THREE.Texture }; - uMapIntensity: { value: number }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { scene: THREE.Scene } & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - u_texture: { value: DEFAULT_TEXTURE }, - uMap: { value: DEFAULT_TEXTURE }, - uMapIntensity: { value: FXBLENDING_PARAMS.mapIntensity }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]) as FxBlendingMaterial; - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useFxTexture/index.ts b/packages/use-shader-fx/src/fxs/utils/useFxTexture/index.ts deleted file mode 100644 index f0ed2c28..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useFxTexture/index.ts +++ /dev/null @@ -1,151 +0,0 @@ -import * as THREE from "three"; -import { useCallback, useMemo } from "react"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { getDpr } from "../../../utils/getDpr"; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type FxTextureParams = { - /** 1st texture , default : `THREE.Texture()` */ - texture0?: THREE.Texture; - /** 2nd texture , default : `THREE.Texture()` */ - texture1?: THREE.Texture; - /** add transparent padding, 0.0 ~ 1.0 , default : `0.0` */ - padding?: number; - /** The color map. The uv value is affected according to this rbg , default : `THREE.Texture()` */ - map?: THREE.Texture; - /** intensity of map , r,g value are affecting , default : `0.0` */ - mapIntensity?: number; - /** Intensity of effect on edges , default : `0.0` */ - edgeIntensity?: number; - /** epicenter of fx, -1 ~ 1 , default : `vec2(0.0,0.0)` */ - epicenter?: THREE.Vector2; - /** Switch value to switch between texture0 and texture1 , 0 ~ 1 , default : `0` */ - progress?: number; - /** direction of transition , default: `THREE.Vector2(0, 0)` */ - dir?: THREE.Vector2; -}; - -export type FxTextureObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const FXTEXTURE_PARAMS: FxTextureParams = Object.freeze({ - texture0: DEFAULT_TEXTURE, - texture1: DEFAULT_TEXTURE, - padding: 0.0, - map: DEFAULT_TEXTURE, - mapIntensity: 0.0, - edgeIntensity: 0.0, - epicenter: new THREE.Vector2(0, 0), - progress: 0.0, - dir: new THREE.Vector2(0, 0), -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useFxTexture = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn<FxTextureParams, FxTextureObject, CustomParams> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ - scene, - size, - dpr: _dpr.shader, - onBeforeInit, - }); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - dpr: _dpr.fbo, - size, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<FxTextureParams>(FXTEXTURE_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: FxTextureParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: FxTextureParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("uTexture0", params.texture0!); - updateValue("uTexture1", params.texture1!); - updateValue("progress", params.progress!); - // calculate resolution by linear interpolation. - const tex0Res = [ - params.texture0!?.image?.width || 0, - params.texture0!?.image?.height || 0, - ]; - const tex1Res = [ - params.texture1!?.image?.width || 0, - params.texture1!?.image?.height || 0, - ]; - const interpolatedResolution = tex0Res.map((value, index) => { - return value + (tex1Res[index] - value) * params.progress!; - }); - updateValue("uTextureResolution", interpolatedResolution); - updateValue("padding", params.padding!); - updateValue("uMap", params.map!); - updateValue("mapIntensity", params.mapIntensity!); - updateValue("edgeIntensity", params.edgeIntensity!); - updateValue("epicenter", params.epicenter!); - updateValue("dirX", params.dir!.x); - updateValue("dirY", params.dir!.y); - - return updateRenderTarget(gl); - }, - [updateRenderTarget, updateValue, params, updateParams] - ); - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useFxTexture/shader/main.frag b/packages/use-shader-fx/src/fxs/utils/useFxTexture/shader/main.frag deleted file mode 100644 index 63fbdbad..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useFxTexture/shader/main.frag +++ /dev/null @@ -1,61 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform vec2 uResolution; -uniform vec2 uTextureResolution; -uniform sampler2D uTexture0; -uniform sampler2D uTexture1; -uniform sampler2D uMap; -uniform float mapIntensity; -uniform float edgeIntensity; -uniform float progress; -uniform float dirX; -uniform float dirY; -uniform vec2 epicenter; -uniform float padding; - -bool isInPaddingArea(vec2 uv) { - return uv.x < padding || uv.x > 1.0 - padding || uv.y < padding || uv.y > 1.0 - padding; -} - -void main() { - #usf <coverTexture> - - // fx map - vec2 map = texture2D(uMap, uv).rg; - vec2 normalizedMap = map * 2.0 - 1.0; - - // multiply edge fx - uv = uv * 2.0 - 1.0; - uv *= map * distance(epicenter, uv) * edgeIntensity + 1.0; - uv = (uv + 1.0) / 2.0; - - // padding - if (isInPaddingArea(uv)) { - gl_FragColor = vec4(0.0, 0.0, 0.0, 0.0); - return; - } - vec2 paddedUV = uv * (1.0 - 2.0 * padding * -1.) + padding * -1.; - - // centered uv - vec2 centeredUV = paddedUV - vec2(0.5); - - // multiply map fx - centeredUV *= normalizedMap * map * mapIntensity + 1.0; - - // texture 0 - float xOffsetTexture0 = 0.5 - dirX * progress; - float yOffsetTexture0 = 0.5 - dirY * progress; - vec2 samplePosTexture0 = vec2(xOffsetTexture0, yOffsetTexture0) + centeredUV; - - //texture 1 - float xOffsetTexture1 = 0.5 + dirX * (1.0 - progress); - float yOffsetTexture1 = 0.5 + dirY * (1.0 - progress); - vec2 samplePosTexture1 = vec2(xOffsetTexture1, yOffsetTexture1) + centeredUV; - - vec4 color0 = texture2D(uTexture0, samplePosTexture0); - vec4 color1 = texture2D(uTexture1, samplePosTexture1); - - gl_FragColor = mix(color0, color1, progress); - -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useFxTexture/shader/main.vert b/packages/use-shader-fx/src/fxs/utils/useFxTexture/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useFxTexture/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useFxTexture/useMesh.ts b/packages/use-shader-fx/src/fxs/utils/useFxTexture/useMesh.ts deleted file mode 100644 index 0b562fe2..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useFxTexture/useMesh.ts +++ /dev/null @@ -1,78 +0,0 @@ -import { useMemo } from "react"; -import * as THREE from "three"; -import { useResolution } from "../../../utils/useResolution"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { setUniform } from "../../../utils/setUniforms"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps, Size } from "../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { FXTEXTURE_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class FxTextureMaterial extends THREE.ShaderMaterial { - uniforms!: { - uResolution: { value: THREE.Vector2 }; - uTextureResolution: { value: THREE.Vector2 }; - uTexture0: { value: THREE.Texture }; - uTexture1: { value: THREE.Texture }; - padding: { value: number }; - uMap: { value: THREE.Texture }; - edgeIntensity: { value: number }; - mapIntensity: { value: number }; - epicenter: { value: THREE.Vector2 }; - progress: { value: number }; - dirX: { value: number }; - dirY: { value: number }; - }; -} - -export const useMesh = ({ - scene, - size, - dpr, - onBeforeInit, -}: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - uResolution: { value: new THREE.Vector2() }, - uTextureResolution: { value: new THREE.Vector2() }, - uTexture0: { value: DEFAULT_TEXTURE }, - uTexture1: { value: DEFAULT_TEXTURE }, - padding: { value: FXTEXTURE_PARAMS.padding }, - uMap: { value: DEFAULT_TEXTURE }, - edgeIntensity: { value: FXTEXTURE_PARAMS.edgeIntensity }, - mapIntensity: { value: FXTEXTURE_PARAMS.mapIntensity }, - epicenter: { value: FXTEXTURE_PARAMS.epicenter }, - progress: { value: FXTEXTURE_PARAMS.progress }, - dirX: { value: FXTEXTURE_PARAMS.dir?.x }, - dirY: { value: FXTEXTURE_PARAMS.dir?.y }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]) as FxTextureMaterial; - - const resolution = useResolution(size, dpr); - setUniform(material)("uResolution", resolution.clone()); - - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useHSV/index.ts b/packages/use-shader-fx/src/fxs/utils/useHSV/index.ts deleted file mode 100644 index f9cd0bfc..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useHSV/index.ts +++ /dev/null @@ -1,114 +0,0 @@ -import * as THREE from "three"; -import { useMesh } from "./useMesh"; -import { useCamera } from "../../../utils/useCamera"; -import { useCallback, useMemo } from "react"; -import { RootState } from "@react-three/fiber"; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { useParams } from "../../../utils/useParams"; -import { useSingleFBO } from "../../../utils/useSingleFBO"; -import { getDpr } from "../../../utils/getDpr"; -import { DEFAULT_TEXTURE } from "../../../libs/constants"; - -export type HSVParams = { - /** default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** default : `1` */ - brightness?: number; - /** default : `1` */ - saturation?: number; -}; - -export type HSVObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; - -export const HSV_PARAMS: HSVParams = Object.freeze({ - texture: DEFAULT_TEXTURE, - brightness: 1, - saturation: 1, -}); - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export const useHSV = ({ - size, - dpr, - renderTargetOptions, - isSizeUpdate, - onBeforeInit, -}: HooksProps): HooksReturn<HSVParams, HSVObject, CustomParams> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const { material, mesh } = useMesh({ - scene, - size, - onBeforeInit, - }); - const camera = useCamera(size); - - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - - const [params, setParams] = useParams<HSVParams>(HSV_PARAMS); - - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - - const updateParams = useCallback( - (newParams?: HSVParams, customParams?: CustomParams) => { - setParams(newParams); - updateCustomValue(customParams); - }, - [setParams, updateCustomValue] - ); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: HSVParams, - customParams?: CustomParams - ) => { - const { gl } = rootState; - - updateParams(newParams, customParams); - - updateValue("u_texture", params.texture!); - updateValue("u_brightness", params.brightness!); - updateValue("u_saturation", params.saturation!); - - return updateRenderTarget(gl); - }, - [updateValue, updateRenderTarget, params, updateParams] - ); - - return [ - updateFx, - updateParams, - { - scene: scene, - mesh: mesh, - material: material, - camera: camera, - renderTarget: renderTarget, - output: renderTarget.texture, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/fxs/utils/useHSV/shader/main.frag b/packages/use-shader-fx/src/fxs/utils/useHSV/shader/main.frag deleted file mode 100644 index 05b700f3..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useHSV/shader/main.frag +++ /dev/null @@ -1,20 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform sampler2D u_texture; -uniform float u_brightness; -uniform float u_saturation; - -#usf <rgb2hsv> - -#usf <hsv2rgb> - -void main() { - vec4 tex = texture2D(u_texture, vUv); - vec3 hsv = rgb2hsv(tex.rgb); - hsv.y *= u_saturation; - hsv.z *= u_brightness; - vec3 final = hsv2rgb(hsv); - gl_FragColor = vec4(final, tex.a); -} - diff --git a/packages/use-shader-fx/src/fxs/utils/useHSV/shader/main.vert b/packages/use-shader-fx/src/fxs/utils/useHSV/shader/main.vert deleted file mode 100644 index 9881c2bc..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useHSV/shader/main.vert +++ /dev/null @@ -1 +0,0 @@ -#usf <planeVertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/fxs/utils/useHSV/useMesh.ts b/packages/use-shader-fx/src/fxs/utils/useHSV/useMesh.ts deleted file mode 100644 index a5312ecd..00000000 --- a/packages/use-shader-fx/src/fxs/utils/useHSV/useMesh.ts +++ /dev/null @@ -1,50 +0,0 @@ -import * as THREE from "three"; -import vertexShader from "./shader/main.vert"; -import fragmentShader from "./shader/main.frag"; -import { useMemo } from "react"; -import { useAddObject } from "../../../utils/useAddObject"; -import { MaterialProps, Size } from "../../types"; -import { - MATERIAL_BASIC_PARAMS, - DEFAULT_TEXTURE, -} from "../../../libs/constants"; -import { HSV_PARAMS } from "."; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class HSVMaterial extends THREE.ShaderMaterial { - uniforms!: { - u_texture: { value: THREE.Texture }; - u_brightness: { value: number }; - u_saturation: { value: number }; - }; -} - -export const useMesh = ({ - scene, - onBeforeInit, -}: { - scene: THREE.Scene; - size: Size; -} & MaterialProps) => { - const geometry = useMemo(() => new THREE.PlaneGeometry(2, 2), []); - const material = useMemo(() => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - u_texture: { value: DEFAULT_TEXTURE }, - u_brightness: { value: HSV_PARAMS.brightness }, - u_saturation: { value: HSV_PARAMS.saturation }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - }); - return mat; - }, [onBeforeInit]) as HSVMaterial; - const mesh = useAddObject(scene, geometry, material, THREE.Mesh); - return { material, mesh }; -}; diff --git a/packages/use-shader-fx/src/hooks/index.ts b/packages/use-shader-fx/src/hooks/index.ts new file mode 100644 index 00000000..a4370d9c --- /dev/null +++ b/packages/use-shader-fx/src/hooks/index.ts @@ -0,0 +1,12 @@ +import { useNoise, NoiseProps } from "./useNoise"; + +export type FxTypes = typeof useNoise; + +export type FxProps<T> = T extends typeof useNoise ? NoiseProps : never; + +export * from "./useNoise"; +export * from "./useFluid"; +export * from "./useBuffer"; +export * from "./useRawBlank"; +export * from "./useBlank"; +export * from "./useGrid"; diff --git a/packages/use-shader-fx/src/hooks/types/index.ts b/packages/use-shader-fx/src/hooks/types/index.ts new file mode 100644 index 00000000..bb79db4e --- /dev/null +++ b/packages/use-shader-fx/src/hooks/types/index.ts @@ -0,0 +1,80 @@ +import * as THREE from "three"; +import { BasicFxMaterial } from "../../materials/core/BasicFxMaterial"; +import { DoubleRenderTarget } from "../../utils"; + +export type Size = { + width: number; + height: number; + top: number; + left: number; + updateStyle?: boolean; +}; + +export type Dpr = + | number + | { + /** you can set whether `dpr` affects `shader`. default : `false` */ + shader?: false | number; + /** you can set whether `dpr` affects `fbo`. default : `false` */ + fbo?: false | number; + }; + +export type RootState = { + /** The instance of the renderer */ + gl: THREE.WebGLRenderer; + /** Default clock */ + clock: THREE.Clock; + /** Normalized event coordinates */ + pointer: THREE.Vector2; + /** Reactive pixel-size of the canvas */ + size: Size; +}; + +/** + * sceneやmaterialなどはミュータブルなオブジェクトであり、non-reactiveであるべき + */ +export interface HooksProps { + /** Width,Height in pixels, or `size` from r3f */ + size: Size; + /** Pixel-ratio, use `window.devicePixelRatio` or viewport.dpr from r3f */ + dpr: Dpr; + /** Whether to `setSize` the FBO when updating size or dpr. default : `false` */ + fboAutoSetSize?: boolean; + /** + * @type `THREE.RenderTargetOptions` + * @param depthBuffer Unlike the default in three.js, the default is `false`. + */ + renderTargetOptions?: THREE.RenderTargetOptions; + materialParameters?: THREE.ShaderMaterialParameters; +} + +/** + * @returns {HooksReturn<T, O, C>} + * render - Functions to update parameters and render. + * setValues - Function to update parameters only. + * texture - texture + * material - material + * scene - scene + * + * @template V The type for the FX parameters. + * @template O The type for the material. + */ +export type HooksReturn<V = {}, M = BasicFxMaterial, A = {}> = { + /** + * Functions to update parameters and render. + * @param rootState RootState + * @param newValues params of fxHooks. basicFxの追加/削除による再コンパイルや、fitの変更によるresolutionの変更は伴わない。再コンパイルを伴う場合はsetValuesを使う。 + */ + render: (rootState: RootState, newValues?: V) => THREE.Texture; + /** + * Function to update parameters only. + * @param newValues params of fxHooks + * @param needsUpdate basicFxの追加/削除による再コンパイルや、fitの変更によるresolutionの変更を伴うかどうか. default : `true` + */ + setValues: (newValues: V, needsUpdate?: boolean) => void; + texture: THREE.Texture; + material?: M; + scene?: THREE.Scene; + camera?: THREE.Camera; + renderTarget?: THREE.WebGLRenderTarget | DoubleRenderTarget; +} & A; diff --git a/packages/use-shader-fx/src/hooks/useBlank/index.tsx b/packages/use-shader-fx/src/hooks/useBlank/index.tsx new file mode 100644 index 00000000..d50c4163 --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useBlank/index.tsx @@ -0,0 +1,106 @@ +import { useCallback } from "react"; +import { + useSingleFBO, + getDpr, + useSetup, + useDoubleFBO, + useMutableState, +} from "../../utils"; +import { HooksProps, HooksReturn, RootState } from "../types"; +import { BlankMaterial } from "../../materials"; +import { ShaderWithUniforms } from "../../shaders/uniformsUtils"; + +type BlankConfig = { + pointerLerp?: number; +}; + +export type BlankProps = HooksProps & ShaderWithUniforms; + +/** + * type DefaultUniforms = { + resolution: { value: THREE.Vector2 }; + texelSize: { value: THREE.Vector2 }; + aspectRatio: { value: number }; + maxAspect: { value: THREE.Vector2 }; + renderCount: { value: number }; + はデフォルトである + あとvaringでvUvつかえる + + 加えて、 + time + pointer + backbuffer + もデフォルトで使える + + あと、pointerLerp使えるよ + + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export const useBlank = ({ + size, + dpr, + fboAutoSetSize, + renderTargetOptions, + materialParameters, + pointerLerp = 1, + ...shaderWithUniforms +}: BlankProps & BlankConfig): HooksReturn<{}, BlankMaterial> => { + const _dpr = getDpr(dpr); + + const { scene, material, camera } = useSetup({ + size, + dpr: _dpr.shader, + material: BlankMaterial, + materialParameters, + ...shaderWithUniforms, + }); + + const fboParams = { + scene, + camera, + size, + dpr: _dpr.fbo, + fboAutoSetSize, + ...renderTargetOptions, + }; + const [renderTarget, updateRenderTarget] = useSingleFBO(fboParams); + const [_, updateBackbuffer] = useDoubleFBO(fboParams); + + const [confing, setConfig] = useMutableState<BlankConfig>({ pointerLerp }); + + const setValues = useCallback( + ({ pointerLerp, ...newValues }: {} & BlankConfig) => { + material.setUniformValues(newValues); + if (pointerLerp) setConfig({ pointerLerp }); + }, + [material, setConfig] + ); + + const render = useCallback( + (rootState: RootState, newValues?: {} & BlankConfig) => { + const { gl, clock, pointer } = rootState; + if (newValues) setValues(newValues); + material.uniforms.time.value = clock.getElapsedTime(); + material.uniforms.pointer.value.lerp( + pointer, + confing.current.pointerLerp! + ); + updateBackbuffer( + { gl }, + ({ read }) => (material.uniforms.backbuffer.value = read) + ); + return updateRenderTarget({ gl }); + }, + [setValues, updateRenderTarget, material, updateBackbuffer, confing] + ); + + return { + render, + setValues, + texture: renderTarget.texture, + material, + scene, + camera, + renderTarget, + }; +}; diff --git a/packages/use-shader-fx/src/hooks/useBuffer/index.tsx b/packages/use-shader-fx/src/hooks/useBuffer/index.tsx new file mode 100644 index 00000000..d98f6324 --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useBuffer/index.tsx @@ -0,0 +1,70 @@ +import { useCallback } from "react"; +import { useSingleFBO, getDpr, useSetup } from "../../utils"; +import { HooksProps, HooksReturn, RootState } from "../types"; +import { + BufferMaterial, + BufferMaterialProps, + BufferValues, +} from "../../materials"; + +export type BufferProps = HooksProps & BufferValues; + +/** + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export const useBuffer = ({ + size, + dpr, + fboAutoSetSize, + renderTargetOptions, + materialParameters, + ...uniformValues +}: BufferProps): HooksReturn< + BufferValues, + BufferMaterial & BufferMaterialProps +> => { + const _dpr = getDpr(dpr); + + const { scene, material, camera } = useSetup({ + size, + dpr: _dpr.shader, + material: BufferMaterial, + uniformValues, + materialParameters, + }); + + const [renderTarget, updateRenderTarget] = useSingleFBO({ + scene, + camera, + size, + dpr: _dpr.fbo, + fboAutoSetSize, + ...renderTargetOptions, + }); + + const setValues = useCallback( + (newValues: BufferValues, needsUpdate: boolean = true) => { + material.setUniformValues(newValues, needsUpdate); + }, + [material] + ); + + const render = useCallback( + (rootState: RootState, newValues?: BufferValues) => { + const { gl } = rootState; + newValues && setValues(newValues, false); + return updateRenderTarget({ gl }); + }, + [setValues, updateRenderTarget] + ); + + return { + render, + setValues, + texture: renderTarget.texture, + material, + scene, + camera, + renderTarget, + }; +}; diff --git a/packages/use-shader-fx/src/hooks/useFluid/index.ts b/packages/use-shader-fx/src/hooks/useFluid/index.ts new file mode 100755 index 00000000..79fd13ff --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useFluid/index.ts @@ -0,0 +1,186 @@ +import * as THREE from "three"; +import { useCallback } from "react"; +import { useSingleFBO, useDoubleFBO, getDpr } from "../../utils"; +import { HooksProps, HooksReturn, RootState } from "../types"; +import { useAdvection } from "./scenes/useAdvection"; +import { useSplat } from "./scenes/useSplat"; +import { useDivergence } from "./scenes/useDivergence"; +import { usePoisson } from "./scenes/usePoisson"; +import { usePressure } from "./scenes/usePressure"; +import { useOutput } from "./scenes/useOutput"; +import { BasicFxValues, FluidMaterials } from "../../materials"; + +export type FluidValues = { + pressureIterations?: number; +} & BasicFxValues & + FluidMaterials.AdvectionValuesClient & + FluidMaterials.DivergenceValuesClient & + FluidMaterials.PoissonValuesClient & + FluidMaterials.PressureValuesClient & + FluidMaterials.SplatValuesClient; + +export type FluidProps = HooksProps & FluidValues; + +const removeUndefined = <T extends object>(obj: T): Partial<T> => + Object.fromEntries( + Object.entries(obj).filter(([, value]) => value !== undefined) + ) as Partial<T>; + +const extractValues = (values: FluidValues) => { + const { + dissipation, + deltaTime, + bounce, + pressureIterations, + radius, + forceBias, + ...basicFxValues + } = values; + + return [ + { + advection: removeUndefined({ dissipation, deltaTime }), + divergence: removeUndefined({ bounce, deltaTime }), + poisson: removeUndefined({ bounce }), + pressure: removeUndefined({ bounce, deltaTime }), + splat: removeUndefined({ radius, forceBias }), + pressureIterations, + }, + basicFxValues, + ] as const; +}; + +/** + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export const useFluid = ({ + size, + dpr, + fboAutoSetSize, + renderTargetOptions, + materialParameters, + ...uniformValues +}: FluidProps): HooksReturn< + FluidValues, + any, + { + /** velocity map */ + velocity: THREE.Texture; + } +> => { + const _dpr = getDpr(dpr); + + // fbos + const fboProps = { + dpr: _dpr.fbo, + size, + fboAutoSetSize, + type: THREE.HalfFloatType, + ...renderTargetOptions, + }; + const [velocity_0, updateVelocity_0] = useSingleFBO(fboProps); + const [velocity_1, updateVelocity_1] = useSingleFBO(fboProps); + const [divergenceFBO, updateDivergenceFBO] = useSingleFBO(fboProps); + const [pressureFBO, updatePressureFBO] = useDoubleFBO(fboProps); + const [outputFBO, updateOutputFBO] = useSingleFBO(fboProps); + + // scenes + const [extractedValues, basicFxValues] = extractValues(uniformValues); + + const SceneSize = { size, dpr: _dpr.shader }; + const advection = useAdvection( + { + ...SceneSize, + ...extractedValues.advection, + velocity: velocity_0.texture, + }, + updateVelocity_1 + ); + const splat = useSplat( + { + ...SceneSize, + ...extractedValues.splat, + }, + updateVelocity_1 + ); + const divergence = useDivergence( + { + ...SceneSize, + ...extractedValues.divergence, + velocity: velocity_1.texture, + }, + updateDivergenceFBO + ); + const poisson = usePoisson( + { + ...SceneSize, + ...extractedValues.poisson, + divergence: divergenceFBO.texture, + pressureIterations: extractedValues.pressureIterations, + }, + updatePressureFBO + ); + const pressure = usePressure( + { + ...SceneSize, + ...extractedValues.pressure, + velocity: velocity_1.texture, + pressure: pressureFBO.read.texture, + }, + updateVelocity_0 + ); + const output = useOutput( + { + ...SceneSize, + ...basicFxValues, + src: velocity_0.texture, + }, + updateOutputFBO + ); + + const setValues = useCallback( + (newValues: FluidValues, needsUpdate: boolean = true) => { + const [_extractedValues, _basicFxValues] = extractValues(newValues); + + output.material.setUniformValues(_basicFxValues, needsUpdate); + advection.material.setUniformValues(_extractedValues.advection); + divergence.material.setUniformValues(_extractedValues.divergence); + poisson.material.setUniformValues(_extractedValues.poisson); + pressure.material.setUniformValues(_extractedValues.pressure); + splat.material.setUniformValues(_extractedValues.splat); + if (_extractedValues.pressureIterations) { + poisson.material.iterations = _extractedValues.pressureIterations; + } + }, + [output, advection, divergence, poisson, pressure, splat] + ); + + const render = useCallback( + (rootState: RootState, newValues?: FluidValues) => { + newValues && setValues(newValues, false); + + [advection, splat, divergence, poisson, pressure, output].forEach( + (shader) => shader?.render(rootState) + ); + + return outputFBO.texture; + }, + [ + setValues, + outputFBO.texture, + advection, + splat, + divergence, + poisson, + pressure, + output, + ] + ); + + return { + render, + setValues, + texture: outputFBO.texture, + velocity: velocity_0.texture, + }; +}; diff --git a/packages/use-shader-fx/src/hooks/useFluid/scenes/useAdvection.ts b/packages/use-shader-fx/src/hooks/useFluid/scenes/useAdvection.ts new file mode 100755 index 00000000..9b3b068e --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useFluid/scenes/useAdvection.ts @@ -0,0 +1,33 @@ +import { useCallback } from "react"; +import { RootState, Size } from "../../types"; +import { FluidMaterials } from "../../../materials"; +import { SingleFBOUpdateFunction, useSetup } from "../../../utils"; + +export const useAdvection = ( + { + size, + dpr, + ...uniformValues + }: { + size: Size; + dpr: number | false; + } & FluidMaterials.AdvectionValues, + updateRenderTarget: SingleFBOUpdateFunction +) => { + const { scene, material, camera } = useSetup({ + size, + dpr, + material: FluidMaterials.AdvectionMaterial, + uniformValues, + }); + + const render = useCallback( + (rootState: RootState) => { + const { gl } = rootState; + updateRenderTarget({ gl, scene, camera }); + }, + [updateRenderTarget, scene, camera] + ); + + return { render, material }; +}; diff --git a/packages/use-shader-fx/src/hooks/useFluid/scenes/useDivergence.ts b/packages/use-shader-fx/src/hooks/useFluid/scenes/useDivergence.ts new file mode 100755 index 00000000..b636586d --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useFluid/scenes/useDivergence.ts @@ -0,0 +1,33 @@ +import { useCallback } from "react"; +import { RootState, Size } from "../../types"; +import { FluidMaterials } from "../../../materials"; +import { useSetup, SingleFBOUpdateFunction } from "../../../utils"; + +export const useDivergence = ( + { + size, + dpr, + ...uniformValues + }: { + size: Size; + dpr: number | false; + } & FluidMaterials.DivergenceValues, + updateRenderTarget: SingleFBOUpdateFunction +) => { + const { scene, material, camera } = useSetup({ + size, + dpr, + material: FluidMaterials.DivergenceMaterial, + uniformValues, + }); + + const render = useCallback( + (rootState: RootState) => { + const { gl } = rootState; + updateRenderTarget({ gl, scene, camera }); + }, + [updateRenderTarget, scene, camera] + ); + + return { render, material }; +}; diff --git a/packages/use-shader-fx/src/hooks/useFluid/scenes/useOutput.ts b/packages/use-shader-fx/src/hooks/useFluid/scenes/useOutput.ts new file mode 100755 index 00000000..2b120454 --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useFluid/scenes/useOutput.ts @@ -0,0 +1,33 @@ +import { useCallback } from "react"; +import { RootState, Size } from "../../types"; +import { SingleFBOUpdateFunction, useSetup } from "../../../utils"; +import { FluidMaterials } from "../../../materials"; + +export const useOutput = ( + { + size, + dpr, + ...values + }: { + size: Size; + dpr: number | false; + } & FluidMaterials.OutputValues, + updateRenderTarget: SingleFBOUpdateFunction +) => { + const { scene, material, camera } = useSetup({ + size, + dpr, + material: FluidMaterials.OutputMaterial, + uniformValues: values, + }); + + const render = useCallback( + (rootState: RootState) => { + const { gl } = rootState; + updateRenderTarget({ gl, scene, camera }); + }, + [updateRenderTarget, scene, camera] + ); + + return { render, material }; +}; diff --git a/packages/use-shader-fx/src/hooks/useFluid/scenes/usePoisson.ts b/packages/use-shader-fx/src/hooks/useFluid/scenes/usePoisson.ts new file mode 100755 index 00000000..e3d6a9ff --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useFluid/scenes/usePoisson.ts @@ -0,0 +1,42 @@ +import { useCallback } from "react"; +import { RootState, Size } from "../../types"; +import { DoubleFBOUpdateFunction, useSetup } from "../../../utils"; +import { FluidMaterials } from "../../../materials"; + +export const usePoisson = ( + { + size, + dpr, + pressureIterations, + ...uniformValues + }: { + size: Size; + dpr: number | false; + pressureIterations?: number; + } & Omit<FluidMaterials.PoissonValues, "pressure">, + updateRenderTarget: DoubleFBOUpdateFunction +) => { + const { scene, material, camera } = useSetup({ + size, + dpr, + material: FluidMaterials.PoissonMaterial, + uniformValues, + customParameters: { + iterations: pressureIterations, + }, + }); + + const render = useCallback( + (rootState: RootState) => { + const { gl } = rootState; + for (let i = 0; i < material.iterations; i++) { + updateRenderTarget({ gl, scene, camera }, ({ read }) => { + material.uniforms.pressure.value = read; + }); + } + }, + [updateRenderTarget, material, scene, camera] + ); + + return { render, material }; +}; diff --git a/packages/use-shader-fx/src/hooks/useFluid/scenes/usePressure.ts b/packages/use-shader-fx/src/hooks/useFluid/scenes/usePressure.ts new file mode 100755 index 00000000..5a2db06e --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useFluid/scenes/usePressure.ts @@ -0,0 +1,33 @@ +import { useCallback } from "react"; +import { RootState, Size } from "../../types"; +import { SingleFBOUpdateFunction, useSetup } from "../../../utils"; +import { FluidMaterials } from "../../../materials"; + +export const usePressure = ( + { + size, + dpr, + ...uniformValues + }: { + size: Size; + dpr: number | false; + } & FluidMaterials.PressureValues, + updateRenderTarget: SingleFBOUpdateFunction +) => { + const { scene, material, camera } = useSetup({ + size, + dpr, + material: FluidMaterials.PressureMaterial, + uniformValues, + }); + + const render = useCallback( + (rootState: RootState) => { + const { gl } = rootState; + updateRenderTarget({ gl, scene, camera }); + }, + [updateRenderTarget, scene, camera] + ); + + return { render, material }; +}; diff --git a/packages/use-shader-fx/src/hooks/useFluid/scenes/useSplat.ts b/packages/use-shader-fx/src/hooks/useFluid/scenes/useSplat.ts new file mode 100755 index 00000000..d37f4136 --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useFluid/scenes/useSplat.ts @@ -0,0 +1,45 @@ +import { useCallback } from "react"; +import { RootState, Size } from "../../types"; +import { SingleFBOUpdateFunction, useSetup } from "../../../utils"; +import { FluidMaterials } from "../../../materials"; +import { usePointerTracker } from "../../../misc/usePointerTracker"; + +export const useSplat = ( + { + size, + dpr, + ...uniformValues + }: { + size: Size; + dpr: number | false; + } & FluidMaterials.SplatValuesClient, + updateRenderTarget: SingleFBOUpdateFunction +) => { + const { scene, material, camera } = useSetup({ + size, + dpr, + material: FluidMaterials.SplatMaterial, + geometrySize: { + width: 1, + height: 1, + }, + uniformValues, + }); + + const pointerTracker = usePointerTracker(); + + const render = useCallback( + (rootState: RootState) => { + const { gl, pointer } = rootState; + const { currentPointer, diffPointer } = pointerTracker(pointer); + + material.uniforms.center.value.copy(currentPointer); + material.uniforms.force.value.copy(diffPointer); + + updateRenderTarget({ gl, scene, camera, clear: false }); + }, + [updateRenderTarget, material, pointerTracker, scene, camera] + ); + + return { render, material }; +}; diff --git a/packages/use-shader-fx/src/hooks/useGrid/index.ts b/packages/use-shader-fx/src/hooks/useGrid/index.ts new file mode 100644 index 00000000..b47020a1 --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useGrid/index.ts @@ -0,0 +1,68 @@ +import { useCallback } from "react"; +import { useSingleFBO, getDpr, useSetup } from "../../utils"; +import { HooksProps, HooksReturn, RootState } from "../types"; +import { GridMaterial, GridValues, GridMaterialProps } from "../../materials"; + +export type GridProps = HooksProps & GridValues; + +/** + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export const useGrid = ({ + size, + dpr, + fboAutoSetSize, + renderTargetOptions, + materialParameters, + ...uniformValues +}: GridProps): HooksReturn<GridValues, GridMaterial & GridMaterialProps> => { + const _dpr = getDpr(dpr); + + const { scene, material, camera } = useSetup({ + size, + dpr: _dpr.shader, + material: GridMaterial, + uniformValues, + materialParameters, + }); + + const [renderTarget, updateRenderTarget] = useSingleFBO({ + scene, + camera, + size, + dpr: _dpr.fbo, + fboAutoSetSize, + ...renderTargetOptions, + }); + + const setValues = useCallback( + (newValues: GridValues, needsUpdate: boolean = true) => { + material.setUniformValues(newValues, needsUpdate); + material.setNearestFilter(); + }, + [material] + ); + + const render = useCallback( + (rootState: RootState, newValues?: GridValues) => { + const { gl, clock } = rootState; + newValues && setValues(newValues, false); + material.uniforms.tick.value = + typeof newValues?.tick === "function" + ? newValues.tick(material.uniforms.tick.value) + : newValues?.tick || clock.getElapsedTime(); + return updateRenderTarget({ gl }); + }, + [setValues, updateRenderTarget, material] + ); + + return { + render, + setValues, + texture: renderTarget.texture, + material, + scene, + camera, + renderTarget, + }; +}; diff --git a/packages/use-shader-fx/src/hooks/useNoise/index.ts b/packages/use-shader-fx/src/hooks/useNoise/index.ts new file mode 100644 index 00000000..c912bd4a --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useNoise/index.ts @@ -0,0 +1,74 @@ +import { useCallback } from "react"; +import { useSingleFBO, getDpr, useSetup } from "../../utils"; +import { HooksProps, HooksReturn, RootState } from "../types"; +import { + NoiseMaterial, + NoiseMaterialProps, + NoiseValues, +} from "../../materials"; + +export type NoiseProps = HooksProps & NoiseValues; + +/** + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export const useNoise = ({ + size, + dpr, + fboAutoSetSize, + renderTargetOptions, + materialParameters, + ...uniformValues +}: NoiseProps): HooksReturn< + NoiseValues, + NoiseMaterial & NoiseMaterialProps +> => { + const _dpr = getDpr(dpr); + + const { scene, material, camera } = useSetup({ + size, + dpr: _dpr.shader, + material: NoiseMaterial, + uniformValues, + materialParameters, + }); + + const [renderTarget, updateRenderTarget] = useSingleFBO({ + scene, + camera, + size, + dpr: _dpr.fbo, + fboAutoSetSize, + ...renderTargetOptions, + }); + + const setValues = useCallback( + (newValues: NoiseValues, needsUpdate: boolean = true) => { + material.setUniformValues(newValues, needsUpdate); + }, + [material] + ); + + const render = useCallback( + (rootState: RootState, newValues?: NoiseValues) => { + const { gl, clock } = rootState; + newValues && setValues(newValues, false); + material.uniforms.tick.value = + typeof newValues?.tick === "function" + ? newValues.tick(material.uniforms.tick.value) + : newValues?.tick || clock.getElapsedTime(); + return updateRenderTarget({ gl }); + }, + [setValues, updateRenderTarget, material] + ); + + return { + render, + setValues, + texture: renderTarget.texture, + material, + scene, + camera, + renderTarget, + }; +}; diff --git a/packages/use-shader-fx/src/hooks/useRawBlank/index.tsx b/packages/use-shader-fx/src/hooks/useRawBlank/index.tsx new file mode 100644 index 00000000..aae280d7 --- /dev/null +++ b/packages/use-shader-fx/src/hooks/useRawBlank/index.tsx @@ -0,0 +1,73 @@ +import { useCallback } from "react"; +import { useSingleFBO, getDpr, useSetup } from "../../utils"; +import { HooksProps, HooksReturn, RootState } from "../types"; +import { RawBlankMaterial } from "../../materials"; +import { ShaderWithUniforms } from "../../shaders/uniformsUtils"; + +export type RawBlankProps = HooksProps & ShaderWithUniforms; + +/** + * type DefaultUniforms = { + resolution: { value: THREE.Vector2 }; + texelSize: { value: THREE.Vector2 }; + aspectRatio: { value: number }; + maxAspect: { value: THREE.Vector2 }; + renderCount: { value: number }; + はデフォルトである + あとvaringでvUvつかえる + + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export const useRawBlank = ({ + size, + dpr, + fboAutoSetSize, + renderTargetOptions, + materialParameters, + ...shaderWithUniforms +}: RawBlankProps): HooksReturn<{}, RawBlankMaterial> => { + const _dpr = getDpr(dpr); + + const { scene, material, camera } = useSetup({ + size, + dpr: _dpr.shader, + material: RawBlankMaterial, + materialParameters, + ...shaderWithUniforms, + }); + + const [renderTarget, updateRenderTarget] = useSingleFBO({ + scene, + camera, + size, + dpr: _dpr.fbo, + fboAutoSetSize, + ...renderTargetOptions, + }); + + const setValues = useCallback( + (newValues: {}) => { + material.setUniformValues(newValues); + }, + [material] + ); + + const render = useCallback( + (rootState: RootState, newValues?: {}) => { + const { gl } = rootState; + newValues && setValues(newValues); + return updateRenderTarget({ gl }); + }, + [setValues, updateRenderTarget] + ); + + return { + render, + setValues, + texture: renderTarget.texture, + material, + scene, + camera, + renderTarget, + }; +}; diff --git a/packages/use-shader-fx/src/index.js b/packages/use-shader-fx/src/index.js index be08983b..471b506a 100644 --- a/packages/use-shader-fx/src/index.js +++ b/packages/use-shader-fx/src/index.js @@ -1,79 +1,7 @@ -/*=============================================== -FXs -===============================================*/ -// interactions -export * from "./fxs/interactions/useBrush"; +export * from "./hooks"; -// simulations -export * from "./fxs/simulations/useFluid"; -export * from "./fxs/simulations/useRipple"; +export * from "./materials"; -// noises -export * from "./fxs/noises/useNoise"; -export * from "./fxs/noises/useColorStrata"; -export * from "./fxs/noises/useMarble"; -export * from "./fxs/noises/useCosPalette"; +export { useDoubleFBO, useSingleFBO } from "./utils"; -// utils -export * from "./fxs/utils/useDuoTone"; -export * from "./fxs/utils/useBlending"; -export * from "./fxs/utils/useFxTexture"; -export * from "./fxs/utils/useBrightnessPicker"; -export * from "./fxs/utils/useFxBlending"; -export * from "./fxs/utils/useAlphaBlending"; -export * from "./fxs/utils/useHSV"; -export * from "./fxs/utils/useCoverTexture"; - -// effects -export * from "./fxs/effects/useSimpleBlur"; -export * from "./fxs/effects/useMotionBlur"; -export * from "./fxs/effects/useWave"; - -// misc -export * from "./fxs/misc/useChromaKey"; - -// blank -export * from "./fxs/blank/useBlank"; -export * from "./fxs/blank/useRawBlank"; - -// 3D -export * from "./fxs/3D/useMorphParticles"; -export * from "./fxs/3D/useMorphParticles/useCreateMorphParticles"; -export * from "./fxs/3D/useWobble3D"; -export * from "./fxs/3D/useWobble3D/useCreateWobble3D"; - -/*=============================================== -utils -===============================================*/ -export * from "./utils/setUniforms"; -export * from "./utils/useAddMesh"; -export * from "./utils/useCamera"; -export * from "./utils/useDoubleFBO"; -export * from "./utils/useParams"; -export * from "./utils/useResolution"; -export * from "./utils/useSingleFBO"; -export * from "./utils/useResizeBoundary"; - -/*=============================================== -misc -===============================================*/ -export * from "./misc/usePointer"; -export * from "./misc/useBeat"; -export * from "./misc/useFPSLimiter"; -export * from "./misc/useDomSyncer"; -export * from "./misc/useCopyTexture"; - -/*=============================================== -Easing -===============================================*/ -export * from "./libs/Easings"; - -/*=============================================== -Utils -===============================================*/ -export * from "./libs/Utils"; - -/*=============================================== -ShaderChunk -===============================================*/ -export * from "./libs/shaders/ShaderChunk"; +export * from "./misc"; diff --git a/packages/use-shader-fx/src/libs/Utils.ts b/packages/use-shader-fx/src/libs/Utils.ts deleted file mode 100644 index 97bfe022..00000000 --- a/packages/use-shader-fx/src/libs/Utils.ts +++ /dev/null @@ -1,20 +0,0 @@ -type Utils = { - interpolate: ( - startValue: number, - endValue: number, - progress: number, - threshold?: number - ) => number; - smoothstep: (edge0: number, edge1: number, x: number) => number; -}; - -export const Utils: Utils = Object.freeze({ - interpolate(startValue, endValue, progress, threshold = 1e-6): number { - const t = startValue + (endValue - startValue) * progress; - return Math.abs(t) < threshold ? 0 : t; - }, - smoothstep(edge0, edge1, x) { - const t = Math.min(Math.max((x - edge0) / (edge1 - edge0), 0), 1); - return t * t * (3 - 2 * t); - }, -}); diff --git a/packages/use-shader-fx/src/libs/constants.ts b/packages/use-shader-fx/src/libs/constants.ts index ab338087..4a939e09 100644 --- a/packages/use-shader-fx/src/libs/constants.ts +++ b/packages/use-shader-fx/src/libs/constants.ts @@ -1,6 +1,13 @@ import * as THREE from "three"; -export const ISDEV = process.env.NODE_ENV === "development"; +// CDNとして使う場合、processがundefinedになるので、その場合はfalseを返す +export const ISDEV = (() => { + try { + return process.env.NODE_ENV === "development"; + } catch (error) { + return false; + } +})(); export const MATERIAL_BASIC_PARAMS = { transparent: false, @@ -14,3 +21,25 @@ export const DEFAULT_TEXTURE = new THREE.DataTexture( 1, THREE.RGBAFormat ); + +export const APP_NAME = "use-shader-fx"; + +export const THREE_FLAG_PROPS = [ + "isColor", + "isMatrix3", + "isMatrix4", + "isVector2", + "isVector3", + "isVector4", + "isTexture", + "isQuaternion", + "isWebGLRenderTarget", + "isEuler", + "isBufferGeometry", + "isMaterial", + "isCamera", + "isLight", + "isObject3D", + "isBone", + "isVideoTexture", +]; diff --git a/packages/use-shader-fx/src/libs/shaders/ShaderChunk.ts b/packages/use-shader-fx/src/libs/shaders/ShaderChunk.ts deleted file mode 100644 index 910f4b07..00000000 --- a/packages/use-shader-fx/src/libs/shaders/ShaderChunk.ts +++ /dev/null @@ -1,29 +0,0 @@ -import wobble3D from "./shaderChunk/wobble3D.glsl"; -import snoise from "./shaderChunk/snoise.glsl"; -import coverTexture from "./shaderChunk/coverTexture.glsl"; -import fxBlending from "./shaderChunk/fxBlending.glsl"; -import planeVertex from "./shaderChunk/planeVertex.glsl"; -import defaultVertex from "./shaderChunk/defaultVertex.glsl"; -import hsv2rgb from "./shaderChunk/hsv2rgb.glsl"; -import rgb2hsv from "./shaderChunk/rgb2hsv.glsl"; - -export type ShaderChunkTypes = - | "wobble3D" - | "snoise" - | "coverTexture" - | "fxBlending" - | "planeVertex" - | "defaultVertex" - | "hsv2rgb" - | "rgb2hsv"; - -export const ShaderChunk: { [K in ShaderChunkTypes]: string } = Object.freeze({ - wobble3D, - snoise, - coverTexture, - fxBlending, - planeVertex, - defaultVertex, - hsv2rgb, - rgb2hsv, -}); diff --git a/packages/use-shader-fx/src/libs/shaders/resolveShaders.ts b/packages/use-shader-fx/src/libs/shaders/resolveShaders.ts deleted file mode 100644 index 93c966d7..00000000 --- a/packages/use-shader-fx/src/libs/shaders/resolveShaders.ts +++ /dev/null @@ -1,13 +0,0 @@ -import { ShaderChunk, ShaderChunkTypes } from "./ShaderChunk"; - -const includePattern = /^[ \t]*#usf +<([\w\d./]+)>/gm; - -function includeReplacer(match: string, include: ShaderChunkTypes): string { - return resolveIncludes(ShaderChunk[include] || ""); -} - -function resolveIncludes(string: string): string { - return string.replace(includePattern, includeReplacer); -} - -export { resolveIncludes }; diff --git a/packages/use-shader-fx/src/libs/shaders/shaderChunk/coverTexture.glsl b/packages/use-shader-fx/src/libs/shaders/shaderChunk/coverTexture.glsl deleted file mode 100644 index 765bfc93..00000000 --- a/packages/use-shader-fx/src/libs/shaders/shaderChunk/coverTexture.glsl +++ /dev/null @@ -1,7 +0,0 @@ -float screenAspect = uResolution.x / uResolution.y; -float textureAspect = uTextureResolution.x / uTextureResolution.y; -vec2 aspectRatio = vec2( - min(screenAspect / textureAspect, 1.0), - min(textureAspect / screenAspect, 1.0) -); -vec2 uv = vUv * aspectRatio + (1.0 - aspectRatio) * .5; \ No newline at end of file diff --git a/packages/use-shader-fx/src/libs/shaders/shaderChunk/defaultVertex.glsl b/packages/use-shader-fx/src/libs/shaders/shaderChunk/defaultVertex.glsl deleted file mode 100644 index fb20d32c..00000000 --- a/packages/use-shader-fx/src/libs/shaders/shaderChunk/defaultVertex.glsl +++ /dev/null @@ -1,6 +0,0 @@ -varying vec2 vUv; - -void main() { - vUv = uv; - gl_Position = projectionMatrix * modelViewMatrix * vec4(position, 1.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/libs/shaders/shaderChunk/fxBlending.glsl b/packages/use-shader-fx/src/libs/shaders/shaderChunk/fxBlending.glsl deleted file mode 100644 index b7d0916a..00000000 --- a/packages/use-shader-fx/src/libs/shaders/shaderChunk/fxBlending.glsl +++ /dev/null @@ -1,6 +0,0 @@ -vec3 mapColor = texture2D(uMap, uv).rgb; -vec3 normalizedMap = mapColor * 2.0 - 1.0; - -uv = uv * 2.0 - 1.0; -uv *= mix(vec2(1.0), abs(normalizedMap.rg), uMapIntensity); -uv = (uv + 1.0) / 2.0; \ No newline at end of file diff --git a/packages/use-shader-fx/src/libs/shaders/shaderChunk/hsv2rgb.glsl b/packages/use-shader-fx/src/libs/shaders/shaderChunk/hsv2rgb.glsl deleted file mode 100644 index 89f859a6..00000000 --- a/packages/use-shader-fx/src/libs/shaders/shaderChunk/hsv2rgb.glsl +++ /dev/null @@ -1,6 +0,0 @@ -vec3 hsv2rgb(vec3 c) -{ - vec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0); - vec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www); - return c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/libs/shaders/shaderChunk/planeVertex.glsl b/packages/use-shader-fx/src/libs/shaders/shaderChunk/planeVertex.glsl deleted file mode 100644 index 304094df..00000000 --- a/packages/use-shader-fx/src/libs/shaders/shaderChunk/planeVertex.glsl +++ /dev/null @@ -1,8 +0,0 @@ -precision highp float; - -varying vec2 vUv; - -void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/libs/shaders/shaderChunk/rgb2hsv.glsl b/packages/use-shader-fx/src/libs/shaders/shaderChunk/rgb2hsv.glsl deleted file mode 100644 index deb954f4..00000000 --- a/packages/use-shader-fx/src/libs/shaders/shaderChunk/rgb2hsv.glsl +++ /dev/null @@ -1,10 +0,0 @@ -vec3 rgb2hsv(vec3 c) -{ - vec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0); - vec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, K.xy), step(c.b, c.g)); - vec4 q = mix(vec4(p.xyw, c.r), vec4(c.r, p.yzx), step(p.x, c.r)); - - float d = q.x - min(q.w, q.y); - float e = 1.0e-10; - return vec3(abs(q.z + (q.w - q.y) / (6.0 * d + e)), d / (q.x + e), q.x); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/libs/shaders/shaderChunk/snoise.glsl b/packages/use-shader-fx/src/libs/shaders/shaderChunk/snoise.glsl deleted file mode 100644 index 4c34f6e3..00000000 --- a/packages/use-shader-fx/src/libs/shaders/shaderChunk/snoise.glsl +++ /dev/null @@ -1,58 +0,0 @@ -// <www.shadertoy.com/view/XsX3zB> -// by Nikita Miropolskiy - -/* discontinuous pseudorandom uniformly distributed in [-0.5, +0.5]^3 */ -vec3 random3(vec3 c) { - float j = 4096.0*sin(dot(c,vec3(17.0, 59.4, 15.0))); - vec3 r; - r.z = fract(512.0*j); - j *= .125; - r.x = fract(512.0*j); - j *= .125; - r.y = fract(512.0*j); - return r-0.5; -} - -const float F3 = 0.3333333; -const float G3 = 0.1666667; - -float snoise(vec3 p) { - - vec3 s = floor(p + dot(p, vec3(F3))); - vec3 x = p - s + dot(s, vec3(G3)); - - vec3 e = step(vec3(0.0), x - x.yzx); - vec3 i1 = e*(1.0 - e.zxy); - vec3 i2 = 1.0 - e.zxy*(1.0 - e); - - vec3 x1 = x - i1 + G3; - vec3 x2 = x - i2 + 2.0*G3; - vec3 x3 = x - 1.0 + 3.0*G3; - - vec4 w, d; - - w.x = dot(x, x); - w.y = dot(x1, x1); - w.z = dot(x2, x2); - w.w = dot(x3, x3); - - w = max(0.6 - w, 0.0); - - d.x = dot(random3(s), x); - d.y = dot(random3(s + i1), x1); - d.z = dot(random3(s + i2), x2); - d.w = dot(random3(s + 1.0), x3); - - w *= w; - w *= w; - d *= w; - - return dot(d, vec4(52.0)); -} - -float snoiseFractal(vec3 m) { - return 0.5333333* snoise(m) - +0.2666667* snoise(2.0*m) - +0.1333333* snoise(4.0*m) - +0.0666667* snoise(8.0*m); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/libs/shaders/shaderChunk/wobble3D.glsl b/packages/use-shader-fx/src/libs/shaders/shaderChunk/wobble3D.glsl deleted file mode 100644 index 31df8df9..00000000 --- a/packages/use-shader-fx/src/libs/shaders/shaderChunk/wobble3D.glsl +++ /dev/null @@ -1,111 +0,0 @@ -// Simplex 4D Noise -// by Ian McEwan, Ashima Arts -// -vec4 permute(vec4 x){return mod(((x*34.0)+1.0)*x, 289.0);} -float permute(float x){return floor(mod(((x*34.0)+1.0)*x, 289.0));} -vec4 taylorInvSqrt(vec4 r){return 1.79284291400159 - 0.85373472095314 * r;} -float taylorInvSqrt(float r){return 1.79284291400159 - 0.85373472095314 * r;} - -vec4 grad4(float j, vec4 ip) -{ - const vec4 ones = vec4(1.0, 1.0, 1.0, -1.0); - vec4 p,s; - - p.xyz = floor( fract (vec3(j) * ip.xyz) * 7.0) * ip.z - 1.0; - p.w = 1.5 - dot(abs(p.xyz), ones.xyz); - s = vec4(lessThan(p, vec4(0.0))); - p.xyz = p.xyz + (s.xyz*2.0 - 1.0) * s.www; - - return p; -} - -float simplexNoise4d(vec4 v) -{ - const vec2 C = vec2( 0.138196601125010504, // (5 - sqrt(5))/20 G4 - 0.309016994374947451); // (sqrt(5) - 1)/4 F4 - // First corner - vec4 i = floor(v + dot(v, C.yyyy) ); - vec4 x0 = v - i + dot(i, C.xxxx); - - // Other corners - - // Rank sorting originally contributed by Bill Licea-Kane, AMD (formerly ATI) - vec4 i0; - - vec3 isX = step( x0.yzw, x0.xxx ); - vec3 isYZ = step( x0.zww, x0.yyz ); - // i0.x = dot( isX, vec3( 1.0 ) ); - i0.x = isX.x + isX.y + isX.z; - i0.yzw = 1.0 - isX; - - // i0.y += dot( isYZ.xy, vec2( 1.0 ) ); - i0.y += isYZ.x + isYZ.y; - i0.zw += 1.0 - isYZ.xy; - - i0.z += isYZ.z; - i0.w += 1.0 - isYZ.z; - - // i0 now contains the unique values 0,1,2,3 in each channel - vec4 i3 = clamp( i0, 0.0, 1.0 ); - vec4 i2 = clamp( i0-1.0, 0.0, 1.0 ); - vec4 i1 = clamp( i0-2.0, 0.0, 1.0 ); - - // x0 = x0 - 0.0 + 0.0 * C - vec4 x1 = x0 - i1 + 1.0 * C.xxxx; - vec4 x2 = x0 - i2 + 2.0 * C.xxxx; - vec4 x3 = x0 - i3 + 3.0 * C.xxxx; - vec4 x4 = x0 - 1.0 + 4.0 * C.xxxx; - - // Permutations - i = mod(i, 289.0); - float j0 = permute( permute( permute( permute(i.w) + i.z) + i.y) + i.x); - vec4 j1 = permute( permute( permute( permute ( - i.w + vec4(i1.w, i2.w, i3.w, 1.0 )) - + i.z + vec4(i1.z, i2.z, i3.z, 1.0 )) - + i.y + vec4(i1.y, i2.y, i3.y, 1.0 )) - + i.x + vec4(i1.x, i2.x, i3.x, 1.0 )); - // Gradients - // ( 7*7*6 points uniformly over a cube, mapped onto a 4-octahedron.) - // 7*7*6 = 294, which is close to the ring size 17*17 = 289. - - vec4 ip = vec4(1.0/294.0, 1.0/49.0, 1.0/7.0, 0.0) ; - - vec4 p0 = grad4(j0, ip); - vec4 p1 = grad4(j1.x, ip); - vec4 p2 = grad4(j1.y, ip); - vec4 p3 = grad4(j1.z, ip); - vec4 p4 = grad4(j1.w, ip); - - // Normalise gradients - vec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3))); - p0 *= norm.x; - p1 *= norm.y; - p2 *= norm.z; - p3 *= norm.w; - p4 *= taylorInvSqrt(dot(p4,p4)); - - // Mix contributions from the five corners - vec3 m0 = max(0.6 - vec3(dot(x0,x0), dot(x1,x1), dot(x2,x2)), 0.0); - vec2 m1 = max(0.6 - vec2(dot(x3,x3), dot(x4,x4) ), 0.0); - m0 = m0 * m0; - m1 = m1 * m1; - return 49.0 * ( dot(m0*m0, vec3( dot( p0, x0 ), dot( p1, x1 ), dot( p2, x2 ))) - + dot(m1*m1, vec2( dot( p3, x3 ), dot( p4, x4 ) ) ) ) ; - -} - -float getWobble(vec3 position) -{ - vec3 warpedPosition = position; - warpedPosition += simplexNoise4d( - vec4( - position * uWarpPositionFrequency, - uTime * uWarpTimeFrequency - ) - ) * uWarpStrength; - - return simplexNoise4d(vec4( - warpedPosition * uWobblePositionFrequency, // XYZ - uTime * uWobbleTimeFrequency // W - )) * uWobbleStrength; -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/libs/types.ts b/packages/use-shader-fx/src/libs/types.ts new file mode 100644 index 00000000..e6acf0dc --- /dev/null +++ b/packages/use-shader-fx/src/libs/types.ts @@ -0,0 +1,2 @@ +/** 0:r,1:g,2:b,3:a */ +export type Vec4Channel = 0 | 1 | 2 | 3; diff --git a/packages/use-shader-fx/src/materials/core/BasicFxLib.ts b/packages/use-shader-fx/src/materials/core/BasicFxLib.ts new file mode 100644 index 00000000..989fd43d --- /dev/null +++ b/packages/use-shader-fx/src/materials/core/BasicFxLib.ts @@ -0,0 +1,310 @@ +import * as THREE from "three"; +import { DefaultUniforms } from "./FxMaterial"; +import { + NestUniformValues, + UniformParentKey, +} from "../../shaders/uniformsUtils"; +import { DEFAULT_TEXTURE } from "../../libs/constants"; +import type { Vec4Channel } from "../../libs/types"; + +/*=============================================== +types +===============================================*/ +/** 0:`fill` 1:`cover` 2:`contain` */ +export type FitType = 0 | 1 | 2; + +export type BasicFxUniformsUnique = { + /*=============================================== + mixSrc + ===============================================*/ + mixSrc: { value: UniformParentKey }; + mixSrc_src: { value: THREE.Texture }; + mixSrc_fit: { value: FitType }; + // uv + mixSrc_uv: { value: UniformParentKey }; + mixSrc_uv_ch: { value: Vec4Channel }; // mixSrcのどのchを使って、このfxのuvをノイズさせるか + mixSrc_uv_factor: { value: number }; + mixSrc_uv_offset: { value: THREE.Vector2 }; + mixSrc_uv_radius: { value: number }; // 負の値は画面全体 + mixSrc_uv_position: { value: THREE.Vector2 }; + mixSrc_uv_range: { value: THREE.Vector2 }; + mixSrc_uv_mixMap: { value: UniformParentKey }; + mixSrc_uv_mixMap_src: { value: THREE.Texture }; + mixSrc_uv_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか + + // color + mixSrc_color: { value: UniformParentKey }; + mixSrc_color_factor: { value: number }; + mixSrc_color_radius: { value: number }; // 負の値は画面全体 + mixSrc_color_position: { value: THREE.Vector2 }; + mixSrc_color_range: { value: THREE.Vector2 }; + mixSrc_color_mixMap: { value: UniformParentKey }; + mixSrc_color_mixMap_src: { value: THREE.Texture }; + mixSrc_color_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか + + // alpha + mixSrc_alpha: { value: UniformParentKey }; + mixSrc_alpha_factor: { value: number }; + mixSrc_alpha_radius: { value: number }; // 負の値は画面全体 + mixSrc_alpha_position: { value: THREE.Vector2 }; + mixSrc_alpha_range: { value: THREE.Vector2 }; + mixSrc_alpha_mixMap: { value: UniformParentKey }; + mixSrc_alpha_mixMap_src: { value: THREE.Texture }; + mixSrc_alpha_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか + + /*=============================================== + mixDst + ===============================================*/ + mixDst: { value: UniformParentKey }; + mixDst_src: { value: THREE.Texture }; + mixDst_fit: { value: FitType }; + // uv + mixDst_uv: { value: UniformParentKey }; + mixDst_uv_ch: { value: Vec4Channel }; // このfxのどのchを使ってmixDstのuvをノイズさせるか + mixDst_uv_factor: { value: number }; + mixDst_uv_offset: { value: THREE.Vector2 }; + mixDst_uv_radius: { value: number }; // 負の値は画面全体 + mixDst_uv_position: { value: THREE.Vector2 }; + mixDst_uv_range: { value: THREE.Vector2 }; + mixDst_uv_mixMap: { value: UniformParentKey }; + mixDst_uv_mixMap_src: { value: THREE.Texture }; + mixDst_uv_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか + // color + mixDst_color: { value: UniformParentKey }; + mixDst_color_factor: { value: number }; + mixDst_color_radius: { value: number }; // 負の値は画面全体 + mixDst_color_position: { value: THREE.Vector2 }; + mixDst_color_range: { value: THREE.Vector2 }; + mixDst_color_mixMap: { value: UniformParentKey }; + mixDst_color_mixMap_src: { value: THREE.Texture }; + mixDst_color_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか + // alpha + mixDst_alpha: { value: UniformParentKey }; + mixDst_alpha_factor: { value: number }; + mixDst_alpha_radius: { value: number }; // 負の値は画面全体 + mixDst_alpha_position: { value: THREE.Vector2 }; + mixDst_alpha_range: { value: THREE.Vector2 }; + mixDst_alpha_mixMap: { value: UniformParentKey }; + mixDst_alpha_mixMap_src: { value: THREE.Texture }; + mixDst_alpha_mixMap_ch: { value: Vec4Channel }; // どのチャンネルでmixするか + + /*=============================================== + adjustments + ===============================================*/ + // levels + levels: { value: UniformParentKey }; + levels_shadows: { value: THREE.Vector4 }; + levels_midtones: { value: THREE.Vector4 }; + levels_highlights: { value: THREE.Vector4 }; + levels_outputMin: { value: THREE.Vector4 }; + levels_outputMax: { value: THREE.Vector4 }; + // contrast + contrast: { value: UniformParentKey }; + contrast_factor: { value: THREE.Vector4 }; + // colorBalance + colorBalance: { value: UniformParentKey }; + colorBalance_factor: { value: THREE.Vector3 }; + // hsv + hsv: { value: UniformParentKey }; + hsv_hueShift: { value: number }; // 色相を +X 度分回転 (0.0~1.0 で0~360度) + hsv_saturation: { value: number }; // 彩度乗算 (1.0で変化なし) + hsv_brightness: { value: number }; // 明度乗算 (1.0で変化なし) + // posterize + posterize: { value: UniformParentKey }; + posterize_levels: { value: THREE.Vector4 }; + // grayscale + grayscale: { value: UniformParentKey }; + grayscale_weight: { value: THREE.Vector3 }; + grayscale_duotone: { value: UniformParentKey }; + grayscale_duotone_color0: { value: THREE.Color }; + grayscale_duotone_color1: { value: THREE.Color }; + grayscale_threshold: { value: number }; // 0~1 負の値は処理をスキップする +}; + +// BasicFxValuesの型からfitScaleを排除する +type BasicFxUniformsFitScale = { + mixSrc_fitScale: { value: THREE.Vector2 }; + mixDst_fitScale: { value: THREE.Vector2 }; +}; + +export type BasicFxUniforms = BasicFxUniformsUnique & DefaultUniforms; + +export type BasicFxValues = NestUniformValues<BasicFxUniforms>; + +export type FxKey = { + srcSystem: boolean; + mixSrc: boolean; + mixDst: boolean; + levels: boolean; + contrast: boolean; + colorBalance: boolean; + hsv: boolean; + posterize: boolean; + grayscale: boolean; +}; + +export type SrcSystemKey = "mixSrc" | "mixDst" | "texture"; + +/*=============================================== +constants +===============================================*/ +export const BASICFX_VALUES: BasicFxUniformsUnique & BasicFxUniformsFitScale = { + /*=============================================== + mixSrc + ===============================================*/ + mixSrc: { value: false }, + mixSrc_src: { value: new THREE.Texture() }, + mixSrc_fit: { value: 0 }, + mixSrc_fitScale: { value: new THREE.Vector2(1, 1) }, + // uv + mixSrc_uv: { value: false }, + mixSrc_uv_ch: { value: 0 }, + mixSrc_uv_factor: { value: 0 }, + mixSrc_uv_offset: { value: new THREE.Vector2(0, 0) }, + mixSrc_uv_radius: { value: 0.5 }, + mixSrc_uv_position: { value: new THREE.Vector2(0.5, 0.5) }, + mixSrc_uv_range: { value: new THREE.Vector2(0.0, 1.0) }, + mixSrc_uv_mixMap: { value: false }, + mixSrc_uv_mixMap_src: { value: DEFAULT_TEXTURE }, + mixSrc_uv_mixMap_ch: { value: 0 }, + + // color + mixSrc_color: { value: false }, + mixSrc_color_factor: { value: 0 }, + mixSrc_color_radius: { value: 0.5 }, + mixSrc_color_position: { value: new THREE.Vector2(0.5, 0.5) }, + mixSrc_color_range: { value: new THREE.Vector2(0.0, 1.0) }, + mixSrc_color_mixMap: { value: false }, + mixSrc_color_mixMap_src: { value: DEFAULT_TEXTURE }, + mixSrc_color_mixMap_ch: { value: 0 }, + + // alpha + mixSrc_alpha: { value: false }, + mixSrc_alpha_factor: { value: 0 }, + mixSrc_alpha_radius: { value: 0.5 }, + mixSrc_alpha_position: { value: new THREE.Vector2(0.5, 0.5) }, + mixSrc_alpha_range: { value: new THREE.Vector2(0.0, 1.0) }, + mixSrc_alpha_mixMap: { value: false }, + mixSrc_alpha_mixMap_src: { value: DEFAULT_TEXTURE }, + mixSrc_alpha_mixMap_ch: { value: 0 }, + + /*=============================================== + mixDst + ===============================================*/ + mixDst: { value: false }, + mixDst_src: { value: new THREE.Texture() }, + mixDst_fit: { value: 0 }, + mixDst_fitScale: { value: new THREE.Vector2(1, 1) }, + + // uv + mixDst_uv: { value: false }, + mixDst_uv_ch: { value: 0 }, + mixDst_uv_factor: { value: 0 }, + mixDst_uv_offset: { value: new THREE.Vector2(0, 0) }, + mixDst_uv_radius: { value: 0.5 }, + mixDst_uv_position: { value: new THREE.Vector2(0.5, 0.5) }, + mixDst_uv_range: { value: new THREE.Vector2(0.0, 1.0) }, + mixDst_uv_mixMap: { value: false }, + mixDst_uv_mixMap_src: { value: DEFAULT_TEXTURE }, + mixDst_uv_mixMap_ch: { value: 0 }, + + // color + mixDst_color: { value: false }, + mixDst_color_factor: { value: 0 }, + mixDst_color_radius: { value: 0.5 }, + mixDst_color_position: { value: new THREE.Vector2(0.5, 0.5) }, + mixDst_color_range: { value: new THREE.Vector2(0.0, 1.0) }, + mixDst_color_mixMap: { value: false }, + mixDst_color_mixMap_src: { value: DEFAULT_TEXTURE }, + mixDst_color_mixMap_ch: { value: 0 }, + + // alpha + mixDst_alpha: { value: false }, + mixDst_alpha_factor: { value: 0 }, + mixDst_alpha_radius: { value: 0.5 }, + mixDst_alpha_position: { value: new THREE.Vector2(0.5, 0.5) }, + mixDst_alpha_range: { value: new THREE.Vector2(0.0, 1.0) }, + mixDst_alpha_mixMap: { value: false }, + mixDst_alpha_mixMap_src: { value: DEFAULT_TEXTURE }, + mixDst_alpha_mixMap_ch: { value: 0 }, + + /*=============================================== + adjustments + ===============================================*/ + // levels + levels: { value: false }, + levels_shadows: { value: new THREE.Vector4(0, 0, 0, 0) }, + levels_midtones: { value: new THREE.Vector4(1, 1, 1, 1) }, + levels_highlights: { value: new THREE.Vector4(1, 1, 1, 1) }, + levels_outputMin: { value: new THREE.Vector4(0, 0, 0, 0) }, + levels_outputMax: { value: new THREE.Vector4(1, 1, 1, 1) }, + // contrast + contrast: { value: false }, + contrast_factor: { value: new THREE.Vector4(1, 1, 1, 1) }, + // colorBalance + colorBalance: { value: false }, + colorBalance_factor: { value: new THREE.Vector3(1, 1, 1) }, + // hsv + hsv: { value: false }, + hsv_hueShift: { value: 0 }, + hsv_saturation: { value: 1 }, + hsv_brightness: { value: 1 }, + // posterize + posterize: { value: false }, + posterize_levels: { value: new THREE.Vector4(0, 0, 0, 0) }, + // grayscale + grayscale: { value: false }, + grayscale_weight: { value: new THREE.Vector3(0, 0, 0) }, + grayscale_duotone: { value: false }, + grayscale_duotone_color0: { value: new THREE.Color(0x000000) }, + grayscale_duotone_color1: { value: new THREE.Color(0xffffff) }, + grayscale_threshold: { value: -1 }, +}; + +/*=============================================== +functions +===============================================*/ +export function handleUpdateFxDefines(fxKey: FxKey): { + [key: string]: any; +} { + const { + mixSrc, + mixDst, + srcSystem, + levels, + contrast, + colorBalance, + hsv, + posterize, + grayscale, + } = fxKey; + return { + USF_USE_SRC_SYSTEM: srcSystem, + USF_USE_MIXSRC: mixSrc, + USF_USE_MIXDST: mixDst, + USF_USE_LEVELS: levels, + USF_USE_CONTRAST: contrast, + USF_USE_COLORBALANCE: colorBalance, + USF_USE_HSV: hsv, + USF_USE_POSTERIZE: posterize, + USF_USE_GRAYSCALE: grayscale, + }; +} + +/** setterで定義される場合もあるため、valuesではなくuniformsから判定する */ +export function getFxKeyFromUniforms(uniforms: BasicFxUniformsUnique): FxKey { + const isMixSrc = uniforms.mixSrc.value ? true : false; + const isMixDst = uniforms.mixDst.value ? true : false; + const isSrcSystem = isMixSrc || isMixDst; + return { + mixSrc: isMixSrc, + mixDst: isMixDst, + srcSystem: isSrcSystem, + levels: uniforms.levels.value ? true : false, + contrast: uniforms.contrast.value ? true : false, + colorBalance: uniforms.colorBalance.value ? true : false, + hsv: uniforms.hsv.value ? true : false, + posterize: uniforms.posterize.value ? true : false, + grayscale: uniforms.grayscale.value ? true : false, + }; +} diff --git a/packages/use-shader-fx/src/materials/core/BasicFxMaterial.ts b/packages/use-shader-fx/src/materials/core/BasicFxMaterial.ts new file mode 100644 index 00000000..7f49327e --- /dev/null +++ b/packages/use-shader-fx/src/materials/core/BasicFxMaterial.ts @@ -0,0 +1,194 @@ +import * as THREE from "three"; +import { FxMaterial, FxMaterialProps } from "./FxMaterial"; +import { mergeShaderLib } from "../../shaders/shaderUtils"; +import * as BasicFxLib from "./BasicFxLib"; + +export class BasicFxMaterial extends FxMaterial { + fxKey: BasicFxLib.FxKey; + + uniforms!: BasicFxLib.BasicFxUniforms; + programCache: number; + + constructor({ + uniforms, + vertexShader, + fragmentShader, + ...rest + }: FxMaterialProps<BasicFxLib.BasicFxValues> = {}) { + super({ + ...rest, + uniforms: { + ...THREE.UniformsUtils.clone(BasicFxLib.BASICFX_VALUES), + ...uniforms, + }, + }); + + this.defines = { + ...rest?.materialParameters?.defines, + }; + + this.programCache = 0; + + this.fxKey = this._setupFxKey(this.uniforms); + + this._setupFxShaders(vertexShader, fragmentShader); + } + + private _setupFxShaders(vertexShader?: string, fragmentShader?: string) { + if (!vertexShader && !fragmentShader) return; + + this._updateFxDefines(); + + const [vertex, fragment] = this._handleMergeShaderLib( + vertexShader, + fragmentShader + ); + + super._setupShaders(vertex, fragment); + } + + /** SamplingFxMaterialで継承するため、handlerとして独立させる */ + protected _handleMergeShaderLib( + vertexShader?: string, + fragmentShader?: string + ) { + return mergeShaderLib(vertexShader, fragmentShader, "basicFx"); + } + + private _updateFxShaders() { + // FxMaterialの初期化時にsetUniformValuesが呼ばれるが、isContainsBasicFxValuesがtrueを返すと、このメソッドが実行されてしまう。BasicFxMaterialの初期化前にはこの処理をスキップする。 + if (!this.fxKey) return; + + const _cache = this.programCache; + + const { diffCount, newFxKey } = this._handleUpdateFxShaders(); + + this.programCache += diffCount; + this.fxKey = newFxKey; + + if (_cache !== this.programCache) { + this._updateFxDefines(); + this.needsUpdate = true; + } + } + + /** SamplingFxMaterialで継承するため、handlerとして独立させる */ + protected _handleUpdateFxShaders(): { + diffCount: number; + newFxKey: BasicFxLib.FxKey; + } { + const newFxKey = BasicFxLib.getFxKeyFromUniforms(this.uniforms); + const diffCount = ( + Object.keys(newFxKey) as (keyof BasicFxLib.FxKey)[] + ).filter((key) => this.fxKey[key] !== newFxKey[key]).length; + return { + diffCount, + newFxKey, + }; + } + + private _updateFxDefines() { + Object.assign(this.defines, this._handleUpdateFxDefines()); + } + + /** SamplingFxMaterialで継承するため、handlerとして独立させる */ + protected _handleUpdateFxDefines(): { + [key: string]: any; + } { + return BasicFxLib.handleUpdateFxDefines(this.fxKey); + } + + protected _isContainsBasicFxValues( + target?: { [key: string]: any }, + source?: { [key: string]: any } + ): boolean { + if (!target) return false; + return Object.keys(target).some((key) => + Object.keys(source ?? BasicFxLib.BASICFX_VALUES).includes(key) + ); + } + + protected _setupFxKey( + uniforms: BasicFxLib.BasicFxUniforms + ): BasicFxLib.FxKey { + return BasicFxLib.getFxKeyFromUniforms(uniforms); + } + + /*=============================================== + Fit Scale + ===============================================*/ + private _calcFitScale( + src: THREE.Texture, + fitType: BasicFxLib.FitType + ): THREE.Vector2 { + let srcAspectRatio = 1; + const fitScale = new THREE.Vector2(1, 1); + const baseAspectRatio = this.uniforms.aspectRatio.value; + + const sourceData = src?.source?.data; + + if (sourceData?.width && sourceData?.height) { + srcAspectRatio = sourceData.width / sourceData.height; + } else { + srcAspectRatio = baseAspectRatio; + } + + if (fitType === 1) { + fitScale.set( + Math.min(baseAspectRatio / srcAspectRatio, 1), + Math.min(srcAspectRatio / baseAspectRatio, 1) + ); + } else if (fitType === 2) { + fitScale.set( + Math.max(baseAspectRatio / srcAspectRatio, 1), + Math.max(srcAspectRatio / baseAspectRatio, 1) + ); + } + + return fitScale; + } + + protected _setFitScale(key: BasicFxLib.SrcSystemKey) { + const uniforms = this.uniforms as any; + uniforms[`${key}_fitScale`].value = this._calcFitScale( + uniforms[`${key}_src`].value, + uniforms[`${key}_fit`].value + ); + } + + protected _updateFitScale() { + if (this.fxKey?.mixSrc) this._setFitScale("mixSrc"); + if (this.fxKey?.mixDst) this._setFitScale("mixDst"); + } + + /*=============================================== + super FxMaterial + ===============================================*/ + /** + * @param needsUpdate default : `true` + */ + public setUniformValues( + values?: { [key: string]: any }, + needsUpdate: boolean = true + ) { + const flattenedValues = super.setUniformValues(values); + if (needsUpdate && this._isContainsBasicFxValues(flattenedValues)) { + this._updateFxShaders(); + this._updateFitScale(); + } + return flattenedValues; + } + + protected _defineUniformAccessors(onSet?: () => void) { + super._defineUniformAccessors(() => { + this._updateFxShaders(); + this._updateFitScale(); + onSet?.(); + }); + } + + public updateResolution(width: number, height: number): void { + super.updateResolution(width, height); + this._updateFitScale(); + } +} diff --git a/packages/use-shader-fx/src/materials/core/FxMaterial.ts b/packages/use-shader-fx/src/materials/core/FxMaterial.ts new file mode 100644 index 00000000..1eb85af8 --- /dev/null +++ b/packages/use-shader-fx/src/materials/core/FxMaterial.ts @@ -0,0 +1,115 @@ +import * as THREE from "three"; +import { resolveIncludes, mergeShaderLib } from "../../shaders/shaderUtils"; +import { + flattenUniformValues, + ShaderWithUniforms, +} from "../../shaders/uniformsUtils"; +import { warn } from "../../utils"; + +export type DefaultUniforms = { + resolution: { value: THREE.Vector2 }; + texelSize: { value: THREE.Vector2 }; + aspectRatio: { value: number }; + maxAspect: { value: THREE.Vector2 }; + renderCount: { value: number }; +}; + +export type FxMaterialProps<T = {}> = { + uniformValues?: T; + materialParameters?: THREE.ShaderMaterialParameters; + customParameters?: { [key: string]: any }; +} & ShaderWithUniforms; + +export class FxMaterial extends THREE.ShaderMaterial { + public static readonly key: string = THREE.MathUtils.generateUUID(); + + constructor({ + uniformValues, + materialParameters = {}, + uniforms, + vertexShader, + fragmentShader, + }: FxMaterialProps = {}) { + super(materialParameters); + + this.uniforms = { + resolution: { value: new THREE.Vector2() }, + texelSize: { value: new THREE.Vector2() }, + aspectRatio: { value: 0 }, + maxAspect: { value: new THREE.Vector2() }, + // 一部のFXでiterationをカウントする必要があるため + renderCount: { value: 0 }, + ...uniforms, + } as DefaultUniforms; + + this._setupShaders(vertexShader, fragmentShader); + + this.setUniformValues(uniformValues); + + this._defineUniformAccessors(); + } + + /** This is updated in useFxScene */ + public updateResolution(width: number, height: number) { + const maxAspect = Math.max(width, height); + this.uniforms.resolution.value.set(width, height); + this.uniforms.texelSize.value.set(1 / width, 1 / height); + this.uniforms.aspectRatio.value = width / height; + this.uniforms.maxAspect.value.set(maxAspect / width, maxAspect / height); + } + + protected _setupShaders(vertexShader?: string, fragmentShader?: string) { + if (!vertexShader && !fragmentShader) return; + + const [vertex, fragment] = mergeShaderLib( + vertexShader, + fragmentShader, + "default" + ); + this.vertexShader = vertex ? resolveIncludes(vertex) : this.vertexShader; + this.fragmentShader = fragment + ? resolveIncludes(fragment) + : this.fragmentShader; + } + + public setUniformValues(values?: { [key: string]: any }) { + if (values === undefined) return; + const flattenedValues = flattenUniformValues(values); + + for (const [key, value] of Object.entries(flattenedValues)) { + if (value === undefined) { + warn(`parameter '${key}' has value of undefined.`); + continue; + } + + const curretUniform = this.uniforms[key]; + + if (curretUniform === undefined) { + warn(`'${key}' is not a uniform property of ${this.type}.`); + continue; + } + + curretUniform.value = + typeof value === "function" ? value(curretUniform.value) : value; + } + + return flattenedValues; + } + + /** define getter/setters　*/ + protected _defineUniformAccessors(onSet?: () => void) { + for (const key of Object.keys(this.uniforms)) { + if (this.hasOwnProperty(key)) { + warn(`'${key}' is already defined in ${this.type}.`); + continue; + } + Object.defineProperty(this, key, { + get: () => this.uniforms[key].value, + set: (v) => { + this.uniforms[key].value = v; + onSet?.(); + }, + }); + } + } +} diff --git a/packages/use-shader-fx/src/materials/core/SamplingFxMaterial.ts b/packages/use-shader-fx/src/materials/core/SamplingFxMaterial.ts new file mode 100644 index 00000000..b9309726 --- /dev/null +++ b/packages/use-shader-fx/src/materials/core/SamplingFxMaterial.ts @@ -0,0 +1,102 @@ +import * as THREE from "three"; +import { FxMaterialProps } from "./FxMaterial"; +import { + NestUniformValues, + UniformParentKey, +} from "../../shaders/uniformsUtils"; +import { mergeShaderLib } from "../../shaders/shaderUtils"; +import { BasicFxMaterial } from "./BasicFxMaterial"; +import * as BasicFxLib from "./BasicFxLib"; +import { DEFAULT_TEXTURE } from "../../libs/constants"; + +/*=============================================== +types +===============================================*/ +type SamplingFxUniformsUnique = { + texture: { value: UniformParentKey }; + texture_src: { value: THREE.Texture }; + texture_fit: { value: BasicFxLib.FitType }; +}; +type SamplingFxUniformsFitScale = { + texture_fitScale: { value: THREE.Vector2 }; +}; +export type SamplingFxUniforms = SamplingFxUniformsUnique & + BasicFxLib.BasicFxUniforms; +export type SamplingFxValues = NestUniformValues<SamplingFxUniforms>; + +/*=============================================== +constants +===============================================*/ +const SAMPLINGFX_VALUES: SamplingFxUniformsUnique & SamplingFxUniformsFitScale = + { + texture: { value: true }, + texture_src: { value: DEFAULT_TEXTURE }, + texture_fit: { value: 0 }, + texture_fitScale: { value: new THREE.Vector2(1, 1) }, + }; + +/** + * SamplingFxMaterialでは常にtextureはtrueであるはずなので、BasicFxMaterialを継承して、srcSystemは常にtrueになるように、継承する + */ +export class SamplingFxMaterial extends BasicFxMaterial { + uniforms!: SamplingFxUniforms; + + constructor({ uniforms, ...rest }: FxMaterialProps<SamplingFxValues>) { + super({ + ...rest, + uniforms: { + ...THREE.UniformsUtils.clone(SAMPLINGFX_VALUES), + ...uniforms, + }, + }); + } + + protected _handleMergeShaderLib( + vertexShader?: string, + fragmentShader?: string + ) { + return mergeShaderLib(vertexShader, fragmentShader, "samplingFx"); + } + + protected _isContainsBasicFxValues(values?: { + [key: string]: any; + }): boolean { + return super._isContainsBasicFxValues(values, { + ...BasicFxLib.BASICFX_VALUES, + ...SAMPLINGFX_VALUES, + }); + } + + protected _updateFitScale() { + super._updateFitScale(); + this._setFitScale("texture"); + } + + protected _setupFxKey( + uniforms: BasicFxLib.BasicFxUniforms + ): BasicFxLib.FxKey { + const key = super._setupFxKey(uniforms); + key.srcSystem = true; + return key; + } + + protected _handleUpdateFxShaders(): { + diffCount: number; + newFxKey: BasicFxLib.FxKey; + } { + const { diffCount, newFxKey } = super._handleUpdateFxShaders(); + newFxKey.srcSystem = true; + return { + diffCount, + newFxKey, + }; + } + + protected _handleUpdateFxDefines(): { + [key: string]: any; + } { + return Object.assign(super._handleUpdateFxDefines(), { + USF_USE_TEXTURE: true, + }); + } +} diff --git a/packages/use-shader-fx/src/materials/impl/blank/BlankMaterial.ts b/packages/use-shader-fx/src/materials/impl/blank/BlankMaterial.ts new file mode 100644 index 00000000..ab672e1f --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/blank/BlankMaterial.ts @@ -0,0 +1,49 @@ +import * as THREE from "three"; +import { + DefaultUniforms, + FxMaterial, + FxMaterialProps, +} from "../../core/FxMaterial"; +import { mergeShaderCode } from "../../../shaders/shaderUtils"; + +type BlankUniforms = { + time: { value: number }; + pointer: { value: THREE.Vector2 }; + backbuffer: { value: THREE.Texture }; +} & DefaultUniforms; + +const SHADER_PARS = ` + uniform float time; + uniform vec2 pointer; + uniform sampler2D backbuffer; +`; + +export class BlankMaterial extends FxMaterial { + static get type() { + return "BlankMaterial"; + } + + uniforms!: BlankUniforms; + + constructor({ + vertexShader, + fragmentShader, + uniforms, + ...rest + }: FxMaterialProps) { + super({ + ...rest, + vertexShader: + vertexShader && mergeShaderCode([SHADER_PARS, vertexShader]), + fragmentShader: + fragmentShader && mergeShaderCode([SHADER_PARS, fragmentShader]), + uniforms: { + time: { value: 0.0 }, + pointer: { value: new THREE.Vector2() }, + backbuffer: { value: new THREE.Texture() }, + ...uniforms, + } as BlankUniforms, + }); + this.type = BlankMaterial.type; + } +} diff --git a/packages/use-shader-fx/src/materials/impl/buffer/BufferMaterial.ts b/packages/use-shader-fx/src/materials/impl/buffer/BufferMaterial.ts new file mode 100644 index 00000000..798eddde --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/buffer/BufferMaterial.ts @@ -0,0 +1,73 @@ +import * as THREE from "three"; +import { + SamplingFxUniforms, + SamplingFxValues, + SamplingFxMaterial, +} from "../../core/SamplingFxMaterial"; +import { FxMaterialProps } from "../../core/FxMaterial"; +import { + ExtractUniformValues, + NestUniformValues, +} from "../../../shaders/uniformsUtils"; +import { ShaderLib } from "../../../shaders/ShaderLib"; + +/*=============================================== +memo + +- BufferMaterialはMaterialをそのまま、r3fでextendしてコンポーネントとして使うケースが考えられる +ので、keyを持たせる +- また、globalで型定義する +===============================================*/ + +type BufferUniforms = SamplingFxUniforms; + +export type BufferValues = NestUniformValues<BufferUniforms> & SamplingFxValues; + +export type BufferMaterialProps = ExtractUniformValues<BufferUniforms>; + +export class BufferMaterial extends SamplingFxMaterial { + public static readonly key: string = THREE.MathUtils.generateUUID(); + + static get type() { + return "BufferMaterial"; + } + + uniforms!: BufferUniforms; + + constructor(props: FxMaterialProps<BufferValues> = {}) { + super({ + ...props, + vertexShader: ` + void main() { + ${ShaderLib.plane_vertex} + } + `, + fragmentShader: ` + void main() { + vec2 usf_Uv = vTextureCoverUv; + + ${ShaderLib.basicFx_fragment_begin} + + vec4 usf_FragColor = fitTexture(texture_src,usf_Uv,texture_fit); + + ${ShaderLib.basicFx_fragment_end} + + gl_FragColor = usf_FragColor; + } + `, + }); + + this.type = BufferMaterial.type; + } +} + +declare global { + namespace JSX { + interface IntrinsicElements { + bufferMaterial: BufferMaterialProps & { + ref?: React.RefObject<BufferMaterial>; + key?: React.Key; + }; + } + } +} diff --git a/packages/use-shader-fx/src/materials/impl/fluid/AdvectionMaterial.ts b/packages/use-shader-fx/src/materials/impl/fluid/AdvectionMaterial.ts new file mode 100755 index 00000000..28840337 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/AdvectionMaterial.ts @@ -0,0 +1,41 @@ +import * as THREE from "three"; +import vertex from "./shaders/vertex"; +import fragment from "./shaders/advection.frag"; +import { + FxMaterial, + FxMaterialProps, +} from "../../../materials/core/FxMaterial"; +import { DEFAULT_TEXTURE } from "../../../libs/constants"; +import { DELTA_TIME } from "."; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; + +type AdvectionUniforms = { + dissipation: { value: number }; + deltaTime: { value: number }; + velocity: { value: THREE.Texture }; +}; + +export type AdvectionValues = NestUniformValues<AdvectionUniforms>; +export type AdvectionValuesClient = Omit<AdvectionValues, "velocity">; + +export class AdvectionMaterial extends FxMaterial { + static get type() { + return "AdvectionMaterial"; + } + + uniforms!: AdvectionUniforms; + + constructor(props: FxMaterialProps<AdvectionValues>) { + super({ + ...props, + vertexShader: vertex.advection, + fragmentShader: fragment, + uniforms: { + dissipation: { value: 0.99 }, + velocity: { value: DEFAULT_TEXTURE }, + deltaTime: { value: DELTA_TIME }, + } as AdvectionUniforms, + }); + this.type = AdvectionMaterial.type; + } +} diff --git a/packages/use-shader-fx/src/materials/impl/fluid/DivergenceMaterial.ts b/packages/use-shader-fx/src/materials/impl/fluid/DivergenceMaterial.ts new file mode 100755 index 00000000..3e05aeb3 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/DivergenceMaterial.ts @@ -0,0 +1,42 @@ +import * as THREE from "three"; +import vertex from "./shaders/vertex"; +import fragment from "./shaders/divergence.frag"; +import { + FxMaterial, + FxMaterialProps, +} from "../../../materials/core/FxMaterial"; +import { DEFAULT_TEXTURE } from "../../../libs/constants"; +import { DELTA_TIME } from "."; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; + +type DivergenceUniforms = { + bounce: { value: boolean }; + deltaTime: { value: number }; + velocity: { value: THREE.Texture }; +}; + +export type DivergenceValues = NestUniformValues<DivergenceUniforms>; +export type DivergenceValuesClient = Omit<DivergenceValues, "velocity">; + +export class DivergenceMaterial extends FxMaterial { + static get type() { + return "DivergenceMaterial"; + } + + uniforms!: DivergenceUniforms; + + constructor(props: FxMaterialProps<DivergenceValues>) { + super({ + ...props, + vertexShader: vertex.main, + fragmentShader: fragment, + uniforms: { + bounce: { value: true }, + velocity: { value: DEFAULT_TEXTURE }, + deltaTime: { value: DELTA_TIME }, + } as DivergenceUniforms, + }); + + this.type = DivergenceMaterial.type; + } +} diff --git a/packages/use-shader-fx/src/materials/impl/fluid/OutputMaterial.ts b/packages/use-shader-fx/src/materials/impl/fluid/OutputMaterial.ts new file mode 100755 index 00000000..197abb46 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/OutputMaterial.ts @@ -0,0 +1,50 @@ +import * as THREE from "three"; +import { FxMaterialProps } from "../../core/FxMaterial"; +import { BasicFxUniforms, BasicFxValues } from "../../core/BasicFxLib"; +import { BasicFxMaterial } from "../../core/BasicFxMaterial"; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; +import { DEFAULT_TEXTURE } from "../../../libs/constants"; +import { ShaderLib } from "../../../shaders/ShaderLib"; + +type OutputUniforms = { + src: { value: THREE.Texture }; +} & BasicFxUniforms; + +export type OutputValues = NestUniformValues<OutputUniforms> & BasicFxValues; + +export class OutputMaterial extends BasicFxMaterial { + static get type() { + return "OutputMaterial"; + } + + uniforms!: OutputUniforms; + + constructor(props: FxMaterialProps<OutputValues> = {}) { + super({ + ...props, + vertexShader: ` + void main() { + ${ShaderLib.plane_vertex} + } + `, + fragmentShader: ` + uniform sampler2D src; + void main() { + vec2 usf_Uv = vUv; + + ${ShaderLib.basicFx_fragment_begin} + + vec4 usf_FragColor = vec4(length(texture2D(src,usf_Uv).rg)); + + ${ShaderLib.basicFx_fragment_end} + + gl_FragColor = usf_FragColor; + } + `, + uniforms: { + src: { value: DEFAULT_TEXTURE }, + }, + }); + this.type = OutputMaterial.type; + } +} diff --git a/packages/use-shader-fx/src/materials/impl/fluid/PoissonMaterial.ts b/packages/use-shader-fx/src/materials/impl/fluid/PoissonMaterial.ts new file mode 100755 index 00000000..2b5531dc --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/PoissonMaterial.ts @@ -0,0 +1,46 @@ +import * as THREE from "three"; +import vertex from "./shaders/vertex"; +import fragment from "./shaders/poisson.frag"; +import { + FxMaterial, + FxMaterialProps, +} from "../../../materials/core/FxMaterial"; +import { DEFAULT_TEXTURE } from "../../../libs/constants"; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; + +type PoissonUniforms = { + bounce: { value: boolean }; + pressure: { value: THREE.Texture }; + divergence: { value: THREE.Texture }; +}; + +export type PoissonValues = NestUniformValues<PoissonUniforms>; +export type PoissonValuesClient = Omit< + PoissonValues, + "pressure" | "divergence" +>; + +export class PoissonMaterial extends FxMaterial { + static get type() { + return "PoissonMaterial"; + } + + uniforms!: PoissonUniforms; + + iterations: number; + + constructor({ customParameters, ...rest }: FxMaterialProps<PoissonValues>) { + super({ + ...rest, + vertexShader: vertex.poisson, + fragmentShader: fragment, + uniforms: { + bounce: { value: true }, + pressure: { value: DEFAULT_TEXTURE }, + divergence: { value: DEFAULT_TEXTURE }, + } as PoissonUniforms, + }); + this.iterations = customParameters?.iterations ?? 32; + this.type = PoissonMaterial.type; + } +} diff --git a/packages/use-shader-fx/src/materials/impl/fluid/PressureMaterial.ts b/packages/use-shader-fx/src/materials/impl/fluid/PressureMaterial.ts new file mode 100755 index 00000000..f21d3a50 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/PressureMaterial.ts @@ -0,0 +1,47 @@ +import * as THREE from "three"; +import vertex from "./shaders/vertex"; +import fragment from "./shaders/pressure.frag"; +import { + FxMaterial, + FxMaterialProps, +} from "../../../materials/core/FxMaterial"; +import { DEFAULT_TEXTURE } from "../../../libs/constants"; +import { DELTA_TIME } from "."; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; + +type PressureUniforms = { + bounce: { value: boolean }; + deltaTime: { value: number }; + pressure: { value: THREE.Texture }; + velocity: { value: THREE.Texture }; +}; + +export type PressureValues = NestUniformValues<PressureUniforms>; +export type PressureValuesClient = Omit< + PressureValues, + "velocity" | "pressure" +>; + +export class PressureMaterial extends FxMaterial { + static get type() { + return "PressureMaterial"; + } + + uniforms!: PressureUniforms; + + constructor(props: FxMaterialProps<PressureValues>) { + super({ + ...props, + vertexShader: vertex.main, + fragmentShader: fragment, + uniforms: { + bounce: { value: true }, + deltaTime: { value: DELTA_TIME }, + pressure: { value: DEFAULT_TEXTURE }, + velocity: { value: DEFAULT_TEXTURE }, + } as PressureUniforms, + }); + + this.type = PressureMaterial.type; + } +} diff --git a/packages/use-shader-fx/src/materials/impl/fluid/SplatMaterial.ts b/packages/use-shader-fx/src/materials/impl/fluid/SplatMaterial.ts new file mode 100755 index 00000000..7a08cd09 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/SplatMaterial.ts @@ -0,0 +1,44 @@ +import * as THREE from "three"; +import vertex from "./shaders/vertex"; +import fragment from "./shaders/splat.frag"; +import { + FxMaterial, + FxMaterialProps, +} from "../../../materials/core/FxMaterial"; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; + +type SplatUniforms = { + forceBias: { value: number }; + radius: { value: THREE.Vector2 }; + force: { value: THREE.Vector2 }; + center: { value: THREE.Vector2 }; +}; + +export type SplatValues = NestUniformValues<SplatUniforms>; +export type SplatValuesClient = Omit<SplatValues, "force" | "center">; + +export class SplatMaterial extends FxMaterial { + static get type() { + return "SplatMaterial"; + } + + uniforms!: SplatUniforms; + + constructor(props: FxMaterialProps) { + super({ + ...props, + vertexShader: vertex.splat, + fragmentShader: fragment, + uniforms: { + forceBias: { value: 20 }, + radius: { value: new THREE.Vector2(50, 50) }, + force: { value: new THREE.Vector2(0, 0) }, + center: { value: new THREE.Vector2(0, 0) }, + } as SplatUniforms, + }); + + this.type = SplatMaterial.type; + + this.blending = THREE.AdditiveBlending; + } +} diff --git a/packages/use-shader-fx/src/materials/impl/fluid/index.js b/packages/use-shader-fx/src/materials/impl/fluid/index.js new file mode 100755 index 00000000..966cbaf4 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/index.js @@ -0,0 +1,8 @@ +export * from "./AdvectionMaterial"; +export * from "./DivergenceMaterial"; +export * from "./PressureMaterial"; +export * from "./PoissonMaterial"; +export * from "./SplatMaterial"; +export * from "./OutputMaterial"; + +export const DELTA_TIME = 0.008; diff --git a/packages/use-shader-fx/src/materials/impl/fluid/shaders/advection.frag b/packages/use-shader-fx/src/materials/impl/fluid/shaders/advection.frag new file mode 100755 index 00000000..902d8801 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/shaders/advection.frag @@ -0,0 +1,10 @@ +uniform float deltaTime; +uniform sampler2D velocity; +uniform float dissipation; + +void main(){ + vec2 vel = texture2D(velocity, vUv).xy; + vec2 uv2 = vUv - vel * deltaTime * maxAspect; + vec2 newVel = texture2D(velocity, uv2).xy; + gl_FragColor = vec4(dissipation * newVel, 0.0, 0.0); +} \ No newline at end of file diff --git a/packages/use-shader-fx/src/materials/impl/fluid/shaders/divergence.frag b/packages/use-shader-fx/src/materials/impl/fluid/shaders/divergence.frag new file mode 100755 index 00000000..77a12298 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/shaders/divergence.frag @@ -0,0 +1,17 @@ +uniform float deltaTime; +uniform sampler2D velocity; + +varying vec2 vL; +varying vec2 vR; +varying vec2 vT; +varying vec2 vB; + +void main(){ + float L = texture2D(velocity, vL).r; + float R = texture2D(velocity, vR).r; + float B = texture2D(velocity, vB).g; + float T = texture2D(velocity, vT).g; + + float divergence = (R-L + T-B) / 2.0; + gl_FragColor = vec4(divergence / deltaTime); +} diff --git a/packages/use-shader-fx/src/materials/impl/fluid/shaders/poisson.frag b/packages/use-shader-fx/src/materials/impl/fluid/shaders/poisson.frag new file mode 100755 index 00000000..67590e0a --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/shaders/poisson.frag @@ -0,0 +1,21 @@ +uniform sampler2D pressure; +uniform sampler2D divergence; + +varying vec2 vL; +varying vec2 vR; +varying vec2 vT; +varying vec2 vB; + +void main(){ + + float L = texture2D(pressure, vL).r; + float R = texture2D(pressure, vR).r; + float B = texture2D(pressure, vB).r; + float T = texture2D(pressure, vT).r; + + float div = texture2D(divergence, vUv).r; + + float newP = (L + R + B + T) / 4.0 - div; + + gl_FragColor = vec4(newP); +} diff --git a/packages/use-shader-fx/src/materials/impl/fluid/shaders/pressure.frag b/packages/use-shader-fx/src/materials/impl/fluid/shaders/pressure.frag new file mode 100755 index 00000000..846adf80 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/shaders/pressure.frag @@ -0,0 +1,23 @@ +uniform float deltaTime; +uniform sampler2D pressure; +uniform sampler2D velocity; + +varying vec2 vL; +varying vec2 vR; +varying vec2 vT; +varying vec2 vB; + +void main(){ + + float L = texture2D(pressure, vL).r; + float R = texture2D(pressure, vR).r; + float B = texture2D(pressure, vB).r; + float T = texture2D(pressure, vT).r; + + vec2 v = texture2D(velocity, vUv).xy; + vec2 gradP = vec2(R - L, T - B) * 0.5; + v = v - gradP * deltaTime; + + gl_FragColor = vec4(v, 0.0, 1.0); + +} \ No newline at end of file diff --git a/packages/use-shader-fx/src/materials/impl/fluid/shaders/splat.frag b/packages/use-shader-fx/src/materials/impl/fluid/shaders/splat.frag new file mode 100755 index 00000000..d8681766 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/shaders/splat.frag @@ -0,0 +1,6 @@ +uniform vec2 force; +uniform float forceBias; + +void main(){ + gl_FragColor = vec4(force * forceBias * pow(1.0 - clamp(2.0 * distance(vUv, vec2(0.5)), 0.0, 1.0), 2.0), 0.0, 1.0); +} \ No newline at end of file diff --git a/packages/use-shader-fx/src/materials/impl/fluid/shaders/vertex.ts b/packages/use-shader-fx/src/materials/impl/fluid/shaders/vertex.ts new file mode 100755 index 00000000..78df65bf --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/fluid/shaders/vertex.ts @@ -0,0 +1,68 @@ +const boxVarying = ` + uniform bool bounce; + varying vec2 vL; + varying vec2 vR; + varying vec2 vT; + varying vec2 vB; +`; + +const getPosition = (bounce: boolean = true) => { + return ` + vec3 pos = position; + vec2 scale = ${ + bounce ? "bounce ? vec2(1.,1.) : 1.-texelSize*2." : "1.-texelSize*2." + }; + pos.xy = pos.xy * scale; + vUv = vec2(.5)+(pos.xy)*.5; + `; +}; + +const getBoxCompute = (diff: string) => { + return ` + vL = vUv - vec2(texelSize.x * ${diff}, 0.0); + vR = vUv + vec2(texelSize.x * ${diff}, 0.0); + vT = vUv + vec2(0.0, texelSize.y * ${diff}); + vB = vUv - vec2(0.0, texelSize.y * ${diff}); + `; +}; + +const vertex = { + main: ` + ${boxVarying} + + void main(){ + + ${getPosition()} + ${getBoxCompute("1.")} + + gl_Position = vec4(pos, 1.0); + } + `, + poisson: ` + ${boxVarying} + + void main(){ + + ${getPosition()} + ${getBoxCompute("2.")} + + gl_Position = vec4(pos, 1.0); + } + `, + advection: ` + void main(){ + ${getPosition(false)} + gl_Position = vec4(pos, 1.0); + } + `, + splat: ` + uniform vec2 center; + uniform vec2 radius; + void main(){ + vec2 pos = position.xy * radius * 2.0 * texelSize + center; + gl_Position = vec4(pos, 0.0, 1.0); + } + `, +}; + +export default vertex; diff --git a/packages/use-shader-fx/src/materials/impl/grid/GridMaterial.ts b/packages/use-shader-fx/src/materials/impl/grid/GridMaterial.ts new file mode 100644 index 00000000..69455e25 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/grid/GridMaterial.ts @@ -0,0 +1,74 @@ +import * as THREE from "three"; +import { + SamplingFxUniforms, + SamplingFxValues, + SamplingFxMaterial, +} from "../../core/SamplingFxMaterial"; +import { FxMaterialProps } from "../../core/FxMaterial"; +import { + ExtractUniformValues, + NestUniformValues, + UniformParentKey, +} from "../../../shaders/uniformsUtils"; +import { gridVertex, gridFragment } from "./grid.glsl"; + +type GridUniforms = { + /** グリッドのマス数 */ + count: { value: THREE.Vector2 }; + /** 自動で画面のアスペクト比に合わせて正方形にscaleする */ + autoScale: { value: boolean }; + /** tick */ + tick: { value: number }; + shuffle: { value: UniformParentKey }; + shuffle_frequency: { value: number }; + shuffle_range: { value: number }; + /** スプライトテクスチャ */ + sprite: { value: UniformParentKey }; + sprite_src: { value: THREE.Texture }; + sprite_length: { value: number }; + sprite_shuffleSpeed: { value: number }; +} & SamplingFxUniforms; + +export type GridValues = NestUniformValues<GridUniforms> & SamplingFxValues; + +export type GridMaterialProps = ExtractUniformValues<GridUniforms>; + +export class GridMaterial extends SamplingFxMaterial { + static get type() { + return "GridMaterial"; + } + + uniforms!: GridUniforms; + + constructor(props: FxMaterialProps<GridValues>) { + super({ + ...props, + vertexShader: gridVertex, + fragmentShader: gridFragment, + uniforms: { + count: { value: new THREE.Vector2(20, 20) }, + autoScale: { value: true }, + tick: { value: 0 }, + shuffle: { value: false }, + shuffle_frequency: { value: 5 }, + shuffle_range: { value: 2 }, + sprite: { value: false }, + sprite_src: { value: new THREE.Texture() }, + sprite_length: { value: 10 }, + sprite_shuffleSpeed: { value: 0 }, + } as GridUniforms, + }); + + this.setNearestFilter(); + + this.type = GridMaterial.type; + } + + /** When gridding with floor, you must use NearestFilter. */ + public setNearestFilter() { + this.uniforms.texture_src.value.magFilter = THREE.NearestFilter; + this.uniforms.texture_src.value.minFilter = THREE.NearestFilter; + this.uniforms.sprite_src.value.magFilter = THREE.NearestFilter; + this.uniforms.sprite_src.value.minFilter = THREE.NearestFilter; + } +} diff --git a/packages/use-shader-fx/src/materials/impl/grid/grid.glsl.ts b/packages/use-shader-fx/src/materials/impl/grid/grid.glsl.ts new file mode 100644 index 00000000..965261b4 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/grid/grid.glsl.ts @@ -0,0 +1,75 @@ +import { ShaderLib } from "../../../shaders/ShaderLib"; + +export const gridVertex = ` + void main() { + ${ShaderLib.plane_vertex} + } +`; + +export const gridFragment = ` + uniform vec2 count; + uniform bool autoScale; + uniform float tick; + uniform bool shuffle; + uniform float shuffle_frequency; + uniform float shuffle_range; + + uniform bool sprite; + uniform sampler2D sprite_src; + uniform float sprite_length; + uniform float sprite_shuffleSpeed; + + float hash(vec2 p) { + return fract(sin(dot(p, vec2(12.9898, 78.233))) * 43758.5453); + } + + vec2 shuffleIndex(vec2 cellIndex , vec2 count) { + + float discreteTime = floor(tick * shuffle_frequency); + + float r1 = hash(cellIndex + vec2(0.123, discreteTime)); + float r2 = hash(cellIndex + vec2(0.789, discreteTime)); + + // -range ~ +range + float offsetX = floor(r1 * (shuffle_range * 2.0 + 1.0)) - shuffle_range; + float offsetY = floor(r2 * (shuffle_range * 2.0 + 1.0)) - shuffle_range; + vec2 offset = vec2(offsetX, offsetY); + + return mod(cellIndex + offset, count); + } + + void main() { + vec2 usf_Uv = vUv; + ${ShaderLib.basicFx_fragment_begin} + + vec2 n_count = count; + n_count.x *= autoScale ? aspectRatio : 1.; + + vec2 cellIndex = ceil(usf_Uv * n_count); + + vec2 shuffledIndex = shuffle ? shuffleIndex(cellIndex, n_count) : cellIndex; + + vec2 cellCenter = calcSrcUv((shuffledIndex - .5) / n_count, texture_fitScale); + + vec4 gridTextureColor = fitTexture(texture_src, cellCenter, texture_fit); + + if(sprite){ + vec2 cellUv = fract(usf_Uv * n_count); + float cellHash = hash(cellIndex); + float spritePos = fract(cellHash + tick * sprite_shuffleSpeed); + float spriteIndex = floor(spritePos * sprite_length); + float spriteSize = 1.0 / sprite_length; + float spriteOffset = spriteIndex * spriteSize; + float spriteU = spriteOffset + cellUv.x * spriteSize; + vec2 spriteUv = vec2(spriteU, cellUv.y); + vec4 spriteColor = texture2D(sprite_src, spriteUv); + gridTextureColor *= spriteColor; + } + + vec4 usf_FragColor = gridTextureColor; + ${ShaderLib.basicFx_fragment_end} + + gl_FragColor = usf_FragColor; + + } +`; diff --git a/packages/use-shader-fx/src/materials/impl/noise/NoiseMaterial.ts b/packages/use-shader-fx/src/materials/impl/noise/NoiseMaterial.ts new file mode 100644 index 00000000..84ce80cf --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/noise/NoiseMaterial.ts @@ -0,0 +1,64 @@ +import * as THREE from "three"; +import { noiseFragment, noiseVertex } from "./noise.glsl"; +import { BasicFxMaterial } from "../../core/BasicFxMaterial"; +import { FxMaterialProps } from "../../core/FxMaterial"; +import { BasicFxUniforms, BasicFxValues } from "../../core/BasicFxLib"; +import { + ExtractUniformValues, + NestUniformValues, +} from "../../../shaders/uniformsUtils"; + +type NoiseUniforms = { + /** useBeatを渡せば、リズムを変えられる。 */ + tick: { value: number }; + /** noise scale , default : `0.004` */ + scale: { value: number }; + /** time factor default : `0.3` */ + timeStrength: { value: number }; + /** noiseOctaves, affects performance default : `2` */ + noiseOctaves: { value: number }; + /** fbmOctaves, affects performance default : `2` */ + fbmOctaves: { value: number }; + /** domain warping octaves , affects performance default : `2` */ + warpOctaves: { value: number }; + /** direction of domain warping , default : `(2.0,2,0)` */ + warpDirection: { value: THREE.Vector2 }; + /** strength of domain warping , default : `8.0` */ + warpStrength: { value: number }; + /** offset of the time */ + timeOffset: { value: number }; +} & BasicFxUniforms; + +export type NoiseValues = NestUniformValues<NoiseUniforms> & BasicFxValues; + +export type NoiseMaterialProps = ExtractUniformValues<NoiseUniforms>; + +export class NoiseMaterial extends BasicFxMaterial { + public static readonly key: string = THREE.MathUtils.generateUUID(); + + static get type() { + return "NoiseMaterial"; + } + + uniforms!: NoiseUniforms; + + constructor(props: FxMaterialProps<NoiseValues> = {}) { + super({ + ...props, + vertexShader: noiseVertex, + fragmentShader: noiseFragment, + uniforms: { + tick: { value: 0.0 }, + scale: { value: 0.03 }, + timeStrength: { value: 0.3 }, + noiseOctaves: { value: 2 }, + fbmOctaves: { value: 2 }, + warpOctaves: { value: 2 }, + warpDirection: { value: new THREE.Vector2(2.0, 2.0) }, + warpStrength: { value: 8 }, + timeOffset: { value: 0 }, + } as NoiseUniforms, + }); + this.type = NoiseMaterial.type; + } +} diff --git a/packages/use-shader-fx/src/materials/impl/noise/noise.glsl.ts b/packages/use-shader-fx/src/materials/impl/noise/noise.glsl.ts new file mode 100644 index 00000000..bf7bcbc0 --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/noise/noise.glsl.ts @@ -0,0 +1,97 @@ +import { ShaderLib } from "../../../shaders/ShaderLib"; + +export const noiseVertex = ` + void main() { + ${ShaderLib.plane_vertex} + } +`; + +export const noiseFragment = ` + precision highp int; + + uniform float tick; + uniform float timeStrength; + uniform int noiseOctaves; + uniform int fbmOctaves; + uniform int warpOctaves; + uniform vec2 warpDirection; + uniform float warpStrength; + uniform float scale; + uniform float timeOffset; + + const float per = 0.5; + const float PI = 3.14159265359; + + float rnd(vec2 n) { + float a = 0.129898; + float b = 0.78233; + float c = 437.585453; + float dt= dot(n ,vec2(a, b)); + float sn= mod(dt, PI); + return fract(sin(sn) * c); + } + + float interpolate(float a, float b, float x){ + float f = (1.0 - cos(x * PI)) * 0.5; + return a * (1.0 - f) + b * f; + } + + float irnd(vec2 p){ + vec2 i = floor(p); + vec2 f = fract(p); + vec4 v = vec4(rnd(vec2(i.x,i.y)),rnd(vec2(i.x + 1.0,i.y)),rnd(vec2(i.x,i.y + 1.0)),rnd(vec2(i.x + 1.0, i.y + 1.0))); + return interpolate(interpolate(v.x, v.y, f.x), interpolate(v.z, v.w, f.x), f.y); + } + + // Based on The Book of Shaders + // https://thebookofshaders.com/13/ + float noise(vec2 p, float time){ + float _time = time + timeOffset; + float t = 0.0; + for(int i = 0; i < noiseOctaves; i++){ + float freq = pow(2.0, float(i)); + float amp = pow(per, float(noiseOctaves - i)); + t += irnd(vec2(p.y / freq + _time, p.x / freq + _time)) * amp; + } + return t; + } + + float fbm(vec2 x, float time) { + float v = 0.0; + float a = 0.5; + vec2 shift = vec2(100); + mat2 rot = mat2(cos(0.5), sin(0.5), -sin(0.5), cos(0.5)); + float sign = 1.0; + for (int i = 0; i < fbmOctaves; ++i) { + v += a * noise(x, time * sign); + x = rot * x * 2.0 + shift; + a *= 0.5; + sign *= -1.0; + } + return v; + } + + float warp(vec2 x, float g,float time){ + float val = 0.0; + for (int i = 0; i < warpOctaves; i++){ + val = fbm(x + g * vec2(cos(warpDirection.x * val), sin(warpDirection.y * val)), time); + } + return val; + } + + void main() { + + vec2 usf_Uv = gl_FragCoord.xy * scale; + + ${ShaderLib.basicFx_fragment_begin} + + float noise = warp(usf_Uv ,warpStrength,tick * timeStrength); + + vec4 usf_FragColor = vec4(noise); + + ${ShaderLib.basicFx_fragment_end} + + gl_FragColor = usf_FragColor; + + } +`; diff --git a/packages/use-shader-fx/src/materials/impl/rawBlank/RawBlankMaterial.ts b/packages/use-shader-fx/src/materials/impl/rawBlank/RawBlankMaterial.ts new file mode 100644 index 00000000..78e45a9e --- /dev/null +++ b/packages/use-shader-fx/src/materials/impl/rawBlank/RawBlankMaterial.ts @@ -0,0 +1,11 @@ +import { FxMaterial, FxMaterialProps } from "../../core/FxMaterial"; + +export class RawBlankMaterial extends FxMaterial { + static get type() { + return "RawBlankMaterial"; + } + constructor(props: FxMaterialProps) { + super(props); + this.type = RawBlankMaterial.type; + } +} diff --git a/packages/use-shader-fx/src/materials/index.js b/packages/use-shader-fx/src/materials/index.js new file mode 100644 index 00000000..b038f2bd --- /dev/null +++ b/packages/use-shader-fx/src/materials/index.js @@ -0,0 +1,8 @@ +export * from "./core/BasicFxLib"; + +export * from "./impl/noise/NoiseMaterial"; +export * as FluidMaterials from "./impl/fluid"; +export * from "./impl/buffer/BufferMaterial"; +export * from "./impl/rawBlank/RawBlankMaterial"; +export * from "./impl/blank/BlankMaterial"; +export * from "./impl/grid/GridMaterial"; diff --git a/packages/use-shader-fx/src/misc/index.js b/packages/use-shader-fx/src/misc/index.js new file mode 100644 index 00000000..4cd05b03 --- /dev/null +++ b/packages/use-shader-fx/src/misc/index.js @@ -0,0 +1,4 @@ +export * from "./useBeat"; +export * from "./usePointerTracker"; +export * from "./useWindowPointer"; +// export * from "./usePipeline"; diff --git a/packages/use-shader-fx/src/misc/useCopyTexture.ts b/packages/use-shader-fx/src/misc/useCopyTexture.ts deleted file mode 100644 index 399f3a62..00000000 --- a/packages/use-shader-fx/src/misc/useCopyTexture.ts +++ /dev/null @@ -1,95 +0,0 @@ -import * as THREE from "three"; -import { useCallback, useEffect, useMemo, useRef } from "react"; -import { useResolution } from "../utils/useResolution"; -import { - UseFboProps, - renderFBO, - FBO_DEFAULT_OPTION, -} from "../utils/useSingleFBO"; - -type UpdateCopyFunction = ( - gl: THREE.WebGLRenderer, - index: number, - /** call before FBO is rendered */ - onBeforeRender?: ({ read }: { read: THREE.Texture }) => void -) => THREE.Texture; - -type UseCopyTextureReturn = [THREE.WebGLRenderTarget[], UpdateCopyFunction]; - -/** - * Generate an FBO array to copy the texture. - * @param dpr If dpr is set, dpr will be multiplied, default : `false` - * @param isSizeUpdate Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default : `false` - * @param length The number of FBOs to create - * @returns [THREE.WebGLRenderTarget[] , updateCopyTexture] - Receives the RenderTarget array as the first argument and the update function as the second argument. `updateCopyTexture()` receives gl as the first argument and the index of the texture you want to copy as the second argument. - */ -export const useCopyTexture = ( - props: UseFboProps, - length: number -): UseCopyTextureReturn => { - const { - scene, - camera, - size, - dpr = false, - isSizeUpdate = false, - depth = false, - ...targetSettings - } = props; - - const renderTargetArr = useRef<THREE.WebGLRenderTarget[]>([]); - const resolution = useResolution(size, dpr); - - renderTargetArr.current = useMemo(() => { - return Array.from({ length }, () => { - const target = new THREE.WebGLRenderTarget( - resolution.x, - resolution.y, - { - ...FBO_DEFAULT_OPTION, - ...targetSettings, - } - ); - if (depth) { - target.depthTexture = new THREE.DepthTexture( - resolution.x, - resolution.y, - THREE.FloatType - ); - } - return target; - }); - // eslint-disable-next-line react-hooks/exhaustive-deps - }, [length]); - - if (isSizeUpdate) { - renderTargetArr.current.forEach((fbo) => - fbo.setSize(resolution.x, resolution.y) - ); - } - - useEffect(() => { - const temp = renderTargetArr.current; - return () => { - temp.forEach((fbo) => fbo.dispose()); - }; - }, [length]); - - const updateCopyTexture: UpdateCopyFunction = useCallback( - (gl, index, onBeforeRender) => { - const fbo = renderTargetArr.current[index]; - renderFBO({ - gl, - scene, - camera, - fbo, - onBeforeRender: () => - onBeforeRender && onBeforeRender({ read: fbo.texture }), - }); - return fbo.texture; - }, - [scene, camera] - ); - - return [renderTargetArr.current, updateCopyTexture]; -}; diff --git a/packages/use-shader-fx/src/misc/useDomSyncer/index.ts b/packages/use-shader-fx/src/misc/useDomSyncer/index.ts deleted file mode 100644 index 18567722..00000000 --- a/packages/use-shader-fx/src/misc/useDomSyncer/index.ts +++ /dev/null @@ -1,194 +0,0 @@ -import * as THREE from "three"; -import { useCallback, useMemo, useRef, useState, Key } from "react"; -import { useCamera } from "../../utils/useCamera"; -import { RootState } from "@react-three/fiber"; -import { useSingleFBO } from "../../utils/useSingleFBO"; -import { HooksProps, HooksReturn } from "../../fxs/types"; -import { useParams } from "../../utils/useParams"; -import { errorHandler } from "./utils/errorHandler"; -import { createMesh } from "./utils/createMesh"; -import { useIntersectionHandler } from "./utils/useIntersectionHandler"; -import { useUpdateDomRect } from "./utils/useUpdateDomRect"; -import { useIsIntersecting, IsIntersecting } from "./utils/useIsIntersecting"; -import { UseDomView, createUseDomView } from "./utils/createUseDomView"; -import { getDpr } from "../../utils/getDpr"; -import { CustomParams } from "../../utils/setUniforms"; -import { DEFAULT_TEXTURE } from "../../libs/constants"; - -export type DomSyncerParams = { - /** DOM array you want to synchronize */ - dom?: (HTMLElement | Element | null)[]; - /** Texture array that you want to synchronize with the DOM rectangle */ - texture?: THREE.Texture[]; - /** default : `0.0[]` */ - boderRadius?: number[]; - /** the angle you want to rotate */ - rotation?: THREE.Euler[]; - /** Array of callback functions when crossed */ - onIntersect?: ((entry: IntersectionObserverEntry) => void)[]; - /** Because DOM rendering and React updates occur asynchronously, there may be a lag between updating dependent arrays and setting DOM arrays. That's what the Key is for. If the dependent array is updated but the Key is not, the loop will skip and return an empty texture. By updating the timing key when DOM acquisition is complete, you can perfectly synchronize DOM and Mesh updates.updateKey must be a unique value for each update, for example `performance.now()`.*/ - updateKey?: Key; -}; - -export type DomSyncerObject = { - scene: THREE.Scene; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; - /** - * A function that returns a determination whether the DOM intersects or not. - * The boolean will be updated after executing the onIntersect function. - * @param index - Index of the dom for which you want to return an intersection decision. -1 will return the entire array. - * @param once - If set to true, it will continue to return true once crossed. - */ - isIntersecting: IsIntersecting; - /** target's DOMRect[] */ - DOMRects: DOMRect[]; - /** target's intersetions boolean[] */ - intersections: boolean[]; - /** You can set callbacks for when at least one DOM is visible and when it is completely hidden. */ - useDomView: UseDomView; -}; - -export const DOMSYNCER_PARAMS: DomSyncerParams = { - texture: [], - dom: [], - boderRadius: [], - rotation: [], - onIntersect: [], -}; - -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usedomsyncer - * @param dependencies - When this dependency array is changed, the mesh and intersection judgment will be updated according to the passed DOM array. - */ -export const useDomSyncer = ( - { size, dpr, isSizeUpdate, renderTargetOptions, onBeforeInit }: HooksProps, - dependencies: React.DependencyList = [] -): HooksReturn<DomSyncerParams, DomSyncerObject, CustomParams> => { - const _dpr = getDpr(dpr); - - const scene = useMemo(() => new THREE.Scene(), []); - const camera = useCamera(size); - const [renderTarget, updateRenderTarget] = useSingleFBO({ - scene, - camera, - size, - dpr: _dpr.fbo, - isSizeUpdate, - ...renderTargetOptions, - }); - const [params, setParams] = useParams<DomSyncerParams>({ - ...DOMSYNCER_PARAMS, - updateKey: performance.now(), - }); - - const [DOMRects, updateDomRects] = useUpdateDomRect(); - - // Avoid instancing vec2 every frame - const resolutionRef = useRef<THREE.Vector2>(new THREE.Vector2(0, 0)); - - // Update monitored doms according to the dependency array - const [refreshTrigger, setRefreshTrigger] = useState(true); - useMemo( - () => setRefreshTrigger(true), - // eslint-disable-next-line react-hooks/exhaustive-deps - dependencies - ); - - // If the dependencies have been updated but the key has not been updated, skip processing and return an empty texture - const updateKey = useRef<Key | null>(null); - const emptyTexture = useMemo(() => DEFAULT_TEXTURE, []); - - // set intersection - const intersectionHandler = useIntersectionHandler(); - const { isIntersectingOnceRef, isIntersectingRef, isIntersecting } = - useIsIntersecting(); - - // create useDomView - const useDomView = createUseDomView(isIntersectingRef); - - const updateParams = useMemo(() => { - return (newParams?: DomSyncerParams, customParams?: CustomParams) => { - setParams(newParams); - updateDomRects({ - params, - customParams, - size, - resolutionRef, - scene, - isIntersectingRef, - }); - }; - }, [isIntersectingRef, setParams, updateDomRects, size, scene, params]); - - const updateFx = useCallback( - ( - rootState: RootState, - newParams?: DomSyncerParams, - customParams?: CustomParams - ) => { - const { gl, size } = rootState; - - updateParams(newParams, customParams); - - if (errorHandler(params)) { - return emptyTexture; - } - - if (refreshTrigger) { - if (updateKey.current === params.updateKey) { - return emptyTexture; - } else { - updateKey.current = params.updateKey!; - } - } - - if (refreshTrigger) { - createMesh({ - params, - size, - scene, - onBeforeInit, - }); - - intersectionHandler({ - isIntersectingRef, - isIntersectingOnceRef, - params, - }); - - setRefreshTrigger(false); - } - - return updateRenderTarget(gl); - }, - [ - updateRenderTarget, - intersectionHandler, - onBeforeInit, - updateParams, - refreshTrigger, - scene, - params, - isIntersectingOnceRef, - isIntersectingRef, - emptyTexture, - ] - ); - - return [ - updateFx, - updateParams, - { - scene, - camera, - renderTarget, - output: renderTarget.texture, - isIntersecting, - DOMRects, - intersections: isIntersectingRef.current, - useDomView, - }, - ]; -}; diff --git a/packages/use-shader-fx/src/misc/useDomSyncer/shader/main.frag b/packages/use-shader-fx/src/misc/useDomSyncer/shader/main.frag deleted file mode 100644 index 67922351..00000000 --- a/packages/use-shader-fx/src/misc/useDomSyncer/shader/main.frag +++ /dev/null @@ -1,44 +0,0 @@ -precision highp float; - -varying vec2 vUv; -uniform sampler2D u_texture; -uniform vec2 u_textureResolution; -uniform vec2 u_resolution; -uniform float u_borderRadius; - -void main() { - // texuture color - float screenAspect = u_resolution.x / u_resolution.y; - float textureAspect = u_textureResolution.x / u_textureResolution.y; - vec2 ratio = vec2( - min(screenAspect / textureAspect, 1.0), - min(textureAspect / screenAspect, 1.0) - ); - - vec2 adjustedUv = vUv * ratio + (1.0 - ratio) * 0.5; - vec3 textureColor = texture2D(u_texture, adjustedUv).rgb; - float textureAlpha = texture2D(u_texture, adjustedUv).a; - - // Based on https://mofu-dev.com/en/blog/three-dom-alignment/ - float maxSide = max(u_resolution.x, u_resolution.y); - float minSide = min(u_resolution.x, u_resolution.y); - vec2 aspect = u_resolution / maxSide; - vec2 alphaUv = vUv - 0.5; - - float borderRadius = min(u_borderRadius, minSide * 0.5); - vec2 offset = vec2(borderRadius) / u_resolution; - vec2 alphaXY = smoothstep(vec2(0.5 - offset), vec2(0.5 - offset - 0.001), abs(alphaUv)); - float alpha = min(1.0, alphaXY.x + alphaXY.y); - - vec2 alphaUv2 = abs(vUv - 0.5); - float radius = borderRadius / maxSide; - alphaUv2 = (alphaUv2 - 0.5) * aspect + radius; - float roundAlpha = smoothstep(radius + 0.001, radius, length(alphaUv2)); - - alpha = min(1.0, alpha + roundAlpha); - - // multiply texture alpha - alpha *= textureAlpha; - - gl_FragColor = vec4(textureColor, alpha); -} diff --git a/packages/use-shader-fx/src/misc/useDomSyncer/shader/main.vert b/packages/use-shader-fx/src/misc/useDomSyncer/shader/main.vert deleted file mode 100644 index a27a65c8..00000000 --- a/packages/use-shader-fx/src/misc/useDomSyncer/shader/main.vert +++ /dev/null @@ -1,6 +0,0 @@ -varying vec2 vUv; - -void main() { - vUv = uv; - gl_Position = projectionMatrix * viewMatrix * modelMatrix * vec4(position, 1.0); -} \ No newline at end of file diff --git a/packages/use-shader-fx/src/misc/useDomSyncer/utils/createMesh.ts b/packages/use-shader-fx/src/misc/useDomSyncer/utils/createMesh.ts deleted file mode 100644 index 94af12f6..00000000 --- a/packages/use-shader-fx/src/misc/useDomSyncer/utils/createMesh.ts +++ /dev/null @@ -1,66 +0,0 @@ -import * as THREE from "three"; -import { DomSyncerParams } from "../"; -import vertexShader from "../shader/main.vert"; -import fragmentShader from "../shader/main.frag"; -import { MaterialProps, Size } from "../../../fxs/types"; -import { MATERIAL_BASIC_PARAMS } from "../../../libs/constants"; -import { createMaterialParameters } from "../../../utils/createMaterialParameters"; - -export class DomSyncerMaterial extends THREE.ShaderMaterial { - uniforms!: { - u_texture: { value: THREE.Texture }; - u_textureResolution: { value: THREE.Vector2 }; - u_resolution: { value: THREE.Vector2 }; - u_borderRadius: { value: number }; - }; -} - -export const createMesh = ({ - params, - scene, - onBeforeInit, -}: { - params: DomSyncerParams; - size: Size; - scene: THREE.Scene; -} & MaterialProps) => { - if (scene.children.length > 0) { - scene.children.forEach((child) => { - if (child instanceof THREE.Mesh) { - child.geometry.dispose(); - child.material.dispose(); - } - }); - scene.remove(...scene.children); - } - - params.texture!.forEach((texture, i) => { - const mat = new THREE.ShaderMaterial({ - ...createMaterialParameters( - { - uniforms: { - u_texture: { value: texture }, - u_textureResolution: { - value: new THREE.Vector2(0, 0), - }, - u_resolution: { value: new THREE.Vector2(0, 0) }, - u_borderRadius: { - value: params.boderRadius![i] - ? params.boderRadius![i] - : 0.0, - }, - }, - vertexShader: vertexShader, - fragmentShader: fragmentShader, - }, - onBeforeInit - ), - ...MATERIAL_BASIC_PARAMS, - // Must be transparent. - transparent: true, - }); - - const mesh = new THREE.Mesh(new THREE.PlaneGeometry(1, 1), mat); - scene.add(mesh); - }); -}; diff --git a/packages/use-shader-fx/src/misc/useDomSyncer/utils/createUseDomView.ts b/packages/use-shader-fx/src/misc/useDomSyncer/utils/createUseDomView.ts deleted file mode 100644 index f5fe609a..00000000 --- a/packages/use-shader-fx/src/misc/useDomSyncer/utils/createUseDomView.ts +++ /dev/null @@ -1,38 +0,0 @@ -import { useEffect, useRef } from "react"; - -export type UseDomViewProps = { - onView?: () => void; - onHidden?: () => void; -}; - -export type UseDomView = (props: UseDomViewProps) => void; - -export const createUseDomView = ( - isIntersectingRef: React.MutableRefObject<boolean[]> -): UseDomView => { - const useDomView = ({ onView, onHidden }: UseDomViewProps) => { - const isView = useRef<boolean>(false); - useEffect(() => { - let id: number; - const filterIntersection = () => { - if (isIntersectingRef.current.some((item) => item)) { - if (!isView.current) { - onView && onView(); - isView.current = true; - } - } else { - if (isView.current) { - onHidden && onHidden(); - isView.current = false; - } - } - id = requestAnimationFrame(filterIntersection); - }; - id = requestAnimationFrame(filterIntersection); - return () => { - cancelAnimationFrame(id); - }; - }, [onView, onHidden]); - }; - return useDomView; -}; diff --git a/packages/use-shader-fx/src/misc/useDomSyncer/utils/errorHandler.ts b/packages/use-shader-fx/src/misc/useDomSyncer/utils/errorHandler.ts deleted file mode 100644 index f8f3bb7a..00000000 --- a/packages/use-shader-fx/src/misc/useDomSyncer/utils/errorHandler.ts +++ /dev/null @@ -1,16 +0,0 @@ -import { DomSyncerParams } from ".."; - -export const errorHandler = (params: DomSyncerParams) => { - const domLength = params.dom?.length; - const textureLength = params.texture?.length; - - if (!domLength || !textureLength) { - return true; - } - - if (domLength !== textureLength) { - return true; - } - - return false; -}; diff --git a/packages/use-shader-fx/src/misc/useDomSyncer/utils/useIntersectionHandler.ts b/packages/use-shader-fx/src/misc/useDomSyncer/utils/useIntersectionHandler.ts deleted file mode 100644 index 122b8650..00000000 --- a/packages/use-shader-fx/src/misc/useDomSyncer/utils/useIntersectionHandler.ts +++ /dev/null @@ -1,52 +0,0 @@ -import { useCallback, useRef } from "react"; -import { DomSyncerParams } from ".."; - -export const useIntersectionHandler = () => { - const intersectionObserverRef = useRef<IntersectionObserver[]>([]); - const intersectionDomRef = useRef<(HTMLElement | Element | null)[]>([]); - - const intersectionHandler = useCallback( - ({ - isIntersectingRef, - isIntersectingOnceRef, - params, - }: { - isIntersectingRef: React.MutableRefObject<boolean[]>; - isIntersectingOnceRef: React.MutableRefObject<boolean[]>; - params: DomSyncerParams; - }) => { - if (intersectionObserverRef.current.length > 0) { - intersectionObserverRef.current.forEach((observer, i) => { - observer.unobserve(intersectionDomRef.current[i]!); - }); - } - - intersectionDomRef.current = []; - intersectionObserverRef.current = []; - - const newArr = new Array(params.dom!.length).fill(false); - isIntersectingRef.current = [...newArr]; - isIntersectingOnceRef.current = [...newArr]; - - params.dom!.forEach((dom, i) => { - const callback = (entries: IntersectionObserverEntry[]) => { - entries.forEach((entry) => { - params.onIntersect![i] && params.onIntersect![i](entry); - // Update the judgment after execution so that the judgment of isIntersectin can be used when executing onIntersect - isIntersectingRef.current[i] = entry.isIntersecting; - }); - }; - const observer = new IntersectionObserver(callback, { - rootMargin: "0px", - threshold: 0, - }); - observer.observe(dom!); - intersectionObserverRef.current.push(observer); - intersectionDomRef.current.push(dom!); - }); - }, - [] - ); - - return intersectionHandler; -}; diff --git a/packages/use-shader-fx/src/misc/useDomSyncer/utils/useIsIntersecting.ts b/packages/use-shader-fx/src/misc/useDomSyncer/utils/useIsIntersecting.ts deleted file mode 100644 index fcda2c24..00000000 --- a/packages/use-shader-fx/src/misc/useDomSyncer/utils/useIsIntersecting.ts +++ /dev/null @@ -1,29 +0,0 @@ -import { useCallback, useRef } from "react"; - -export type IsIntersecting = ( - index: number, - once?: boolean -) => boolean[] | boolean; - -export const useIsIntersecting = () => { - const isIntersectingRef = useRef<boolean[]>([]); - const isIntersectingOnceRef = useRef<boolean[]>([]); - - const isIntersecting: IsIntersecting = useCallback((index, once = false) => { - isIntersectingRef.current.forEach((value, i) => { - if (value) { - isIntersectingOnceRef.current[i] = true; - } - }); - const temp = once - ? [...isIntersectingOnceRef.current] - : [...isIntersectingRef.current]; - return index < 0 ? temp : temp[index]; - }, []); - - return { - isIntersectingRef, - isIntersectingOnceRef, - isIntersecting, - }; -}; diff --git a/packages/use-shader-fx/src/misc/useDomSyncer/utils/useUpdateDomRect.ts b/packages/use-shader-fx/src/misc/useDomSyncer/utils/useUpdateDomRect.ts deleted file mode 100644 index 7c062bc3..00000000 --- a/packages/use-shader-fx/src/misc/useDomSyncer/utils/useUpdateDomRect.ts +++ /dev/null @@ -1,96 +0,0 @@ -import * as THREE from "three"; -import { DomSyncerParams } from ".."; -import { - CustomParams, - setCustomUniform, - setUniform, -} from "../../../utils/setUniforms"; -import { DomSyncerMaterial } from "./createMesh"; -import { useCallback, useRef } from "react"; -import { Size } from "../../../fxs/types"; - -type UpdateDomRect = ({ - params, - customParams, - size, - resolutionRef, - scene, - isIntersectingRef, -}: { - params: DomSyncerParams; - customParams?: CustomParams; - size: Size; - resolutionRef: React.MutableRefObject<THREE.Vector2>; - scene: THREE.Scene; - isIntersectingRef: React.MutableRefObject<boolean[]>; -}) => void; - -type UseUpdateDomRectReturn = [DOMRect[], UpdateDomRect]; - -export const useUpdateDomRect = (): UseUpdateDomRectReturn => { - const domRects = useRef<DOMRect[]>([]); - - const updateDomRects: UpdateDomRect = useCallback( - ({ - params, - customParams, - size, - resolutionRef, - scene, - isIntersectingRef, - }) => { - // Initialize domRects if the number of children in the scene is different from the number of DOMRect - if (scene.children.length !== domRects.current!.length) { - domRects.current = new Array(scene.children.length); - } - - scene.children.forEach((mesh, i) => { - const domElement = params.dom![i]; - if (!domElement) { - return; - } - - // DOMRect is updated even outside the intersection - const rect = domElement.getBoundingClientRect(); - domRects.current[i] = rect; - - // Intersection cannot be determined accurately depending on the mobile navigation bar, so it seems better to update it constantly - mesh.scale.set(rect.width, rect.height, 1.0); - mesh.position.set( - rect.left + rect.width * 0.5 - size.width * 0.5, - -rect.top - rect.height * 0.5 + size.height * 0.5, - 0.0 - ); - - if (isIntersectingRef.current[i]) { - if (params.rotation![i]) { - mesh.rotation.copy(params.rotation![i]); - } - - if (mesh instanceof THREE.Mesh) { - const material: DomSyncerMaterial = mesh.material; - const updateValue = setUniform(material); - const updateCustomValue = setCustomUniform(material); - updateValue("u_texture", params.texture![i]); - updateValue("u_textureResolution", [ - params.texture![i]?.source?.data?.width || 0, - params.texture![i]?.source?.data?.height || 0, - ]); - updateValue( - "u_resolution", - resolutionRef.current.set(rect.width, rect.height) - ); - updateValue( - "u_borderRadius", - params.boderRadius![i] ? params.boderRadius![i] : 0.0 - ); - updateCustomValue(customParams); - } - } - }); - }, - [] - ); - - return [domRects.current, updateDomRects]; -}; diff --git a/packages/use-shader-fx/src/misc/useFPSLimiter.ts b/packages/use-shader-fx/src/misc/useFPSLimiter.ts deleted file mode 100644 index c40677a1..00000000 --- a/packages/use-shader-fx/src/misc/useFPSLimiter.ts +++ /dev/null @@ -1,38 +0,0 @@ -import * as THREE from "three"; -import { useCallback, useMemo, useRef } from "react"; - -/** - * @param fps FPS you want to limit , default : `60` - * - * ```tsx - * const limiter = useFPSLimiter(fps); - * useFrame((props) => { - * if (limiter(props.clock)) { - * //some code - * } - * }); - * ``` - */ -export const useFPSLimiter = (fps: number = 60) => { - const interval = useMemo(() => 1 / Math.max(Math.min(fps, 60), 1), [fps]); - const prevTime = useRef<number | null>(null); - - const limiter = useCallback( - (clock: THREE.Clock) => { - const tick = clock.getElapsedTime(); - if (prevTime.current === null) { - prevTime.current = tick; - return true; - } - const deltaTime = tick - prevTime.current; - if (deltaTime >= interval) { - prevTime.current = tick; - return true; - } - return false; - }, - [interval] - ); - - return limiter; -}; diff --git a/packages/use-shader-fx/src/misc/usePipeline.ts b/packages/use-shader-fx/src/misc/usePipeline.ts new file mode 100644 index 00000000..0ed222b3 --- /dev/null +++ b/packages/use-shader-fx/src/misc/usePipeline.ts @@ -0,0 +1,131 @@ +// import * as THREE from "three"; +// import { useCallback, useState } from "react"; +// import { RootState } from "../hooks/types"; +// import { FxTypes, FxProps } from "../hooks"; +// import { warn } from "../utils"; + +// export type FxConfig<T extends FxTypes = FxTypes> = { +// fx: T; +// } & FxProps<T>; + +// export type TexturePipelineSrc = THREE.Texture | null; + +// export type PipelineConfig = { +// src?: number | TexturePipelineSrc; +// mixSrc?: number | TexturePipelineSrc; +// mixDst?: number | TexturePipelineSrc; +// }; +// export type PipelineValues = { +// src?: TexturePipelineSrc; +// mixSrc?: { +// src?: TexturePipelineSrc; +// }; +// mixDst?: { +// src?: TexturePipelineSrc; +// }; +// }; + +// const WARN_TEXT = { +// args: `fx and args length mismatch. fx is non-reactive; update by changing the key to reset state.`, +// pipeline: `fx and pipeline length mismatch. fx is non-reactive; update by changing the key to reset state.`, +// pipelineValue: (val: number, pipelineIndex: number, key: string) => +// `texture(index:${val}) is missing, at "${key}" of pipeline(index:${pipelineIndex}).`, +// }; + +// export const usePipeline = <T extends FxTypes[]>( +// ...args: { [K in keyof T]: FxConfig<T[K]> } +// ) => { +// // hooks are non-reactive +// const [hooks] = useState(() => args.map(({ fx }) => fx)); + +// // to update the resolution, make the args reactive. +// let _args = args.map(({ fx, ...rest }) => rest); + +// const argsDiff = hooks.length - _args.length; + +// if (argsDiff !== 0) { +// warn(WARN_TEXT.args); +// // adjust length of args +// if (argsDiff < 0) { +// _args = _args.slice(0, hooks.length); +// } else { +// _args = _args.concat(Array(argsDiff).fill(_args.at(-1))); +// } +// } + +// const pipeline = hooks.map((hook, i) => hook(_args[i])); + +// const render = useCallback( +// (state: RootState) => pipeline.forEach((fx) => fx.render(state)), +// [pipeline] +// ); + +// const setValues = useCallback( +// (...values: {}[]) => pipeline.forEach((fx, i) => fx.setValues(values[i])), +// [pipeline] +// ); + +// const textures = pipeline.map((fx) => fx.texture); + +// const setPipeline = useCallback( +// (...args: PipelineConfig[]) => { +// if (args.length !== pipeline.length) { +// warn(WARN_TEXT.pipeline); +// return; +// } +// args.forEach((arg, i) => +// pipeline[i].setValues(getPipelineValues(arg, textures, i)) +// ); +// }, +// [pipeline, textures] +// ); + +// return { +// render, +// setValues, +// setPipeline, +// texture: pipeline.at(-1)?.texture, +// textures, +// pipeline, +// }; +// }; + +// function getPipelineValues( +// config: PipelineConfig, +// textures: THREE.Texture[], +// pipelineIndex: number +// ) { +// const value: PipelineValues = {}; + +// const setValue = (key: keyof PipelineConfig, val: TexturePipelineSrc) => { +// if (key === "src") { +// value[key] = val; +// return; +// } +// value[key] = { src: val }; +// }; + +// for (const [key, val] of Object.entries(config)) { +// const _key = key as keyof PipelineConfig; + +// if (val == null) { +// setValue(_key, null); +// continue; +// } + +// if (typeof val === "number") { +// const _tex = textures[val]; +// if (!_tex) { +// warn(WARN_TEXT.pipelineValue(val, pipelineIndex, key)); +// setValue(_key, null); +// continue; +// } +// setValue(_key, _tex); +// continue; +// } + +// setValue(_key, val); +// } + +// return value; +// } diff --git a/packages/use-shader-fx/src/misc/usePointer.ts b/packages/use-shader-fx/src/misc/usePointerTracker.ts similarity index 92% rename from packages/use-shader-fx/src/misc/usePointer.ts rename to packages/use-shader-fx/src/misc/usePointerTracker.ts index dc8482ed..9077b688 100644 --- a/packages/use-shader-fx/src/misc/usePointer.ts +++ b/packages/use-shader-fx/src/misc/usePointerTracker.ts @@ -9,14 +9,14 @@ export type PointerValues = { isVelocityUpdate: boolean; }; -type UpdatePointer = (currentPointer: THREE.Vector2) => PointerValues; +type PointerTracker = (currentPointer: THREE.Vector2) => PointerValues; /** * @description When given the pointer vector2 from r3f's RootState, it generates an update function that returns {`currentPointer`, `prevPointer`, `diffPointer`, `isVelocityUpdate`, `velocity`}. * @description When calling custom in a `useFrame` loop, you can avoid duplication of execution by passing `pointerValues` to the update function of a Pointer-activated fxHook, such as `useBrush`. * @param lerp 0~1, lerp intensity (0 to less than 1) , default : `0` */ -export const usePointer = (lerp: number = 0): UpdatePointer => { +export const usePointerTracker = (lerp: number = 0): PointerTracker => { const prevPointer = useRef(new THREE.Vector2(0, 0)); const diffPointer = useRef(new THREE.Vector2(0, 0)); const lerpPointer = useRef(new THREE.Vector2(0, 0)); @@ -24,7 +24,7 @@ export const usePointer = (lerp: number = 0): UpdatePointer => { const velocity = useRef(new THREE.Vector2(0, 0)); const isMoved = useRef(false); - const updatePointer = useCallback( + const pointerTracker = useCallback( (currentPointer: THREE.Vector2) => { const now = performance.now(); @@ -76,5 +76,5 @@ export const usePointer = (lerp: number = 0): UpdatePointer => { [lerp] ); - return updatePointer; + return pointerTracker; }; diff --git a/packages/use-shader-fx/src/misc/useWindowPointer.ts b/packages/use-shader-fx/src/misc/useWindowPointer.ts new file mode 100644 index 00000000..d1d20c12 --- /dev/null +++ b/packages/use-shader-fx/src/misc/useWindowPointer.ts @@ -0,0 +1,39 @@ +import { useEffect, useRef } from "react"; +import * as THREE from "three"; +import { Size } from "../hooks/types"; + +const PASSIVE = { passive: true }; + +/** + * @param size Size + * @returns THREE.Vector2 + */ +export const useWindowPointer = (size: Size) => { + const windowPointer = useRef(new THREE.Vector2(0)); + + useEffect(() => { + const compute = (x: number, y: number) => { + windowPointer.current.set( + ((x - size.left) / size.width) * 2 - 1, + -((y - size.top) / size.height) * 2 + 1 + ); + }; + const handleTouchMove = (event: TouchEvent) => { + const touch = event.touches[0]; + compute(touch.clientX, touch.clientY); + }; + const handlePointerMove = (event: PointerEvent) => { + compute(event.clientX, event.clientY); + }; + + window.addEventListener("touchmove", handleTouchMove, PASSIVE); + window.addEventListener("pointermove", handlePointerMove, PASSIVE); + + return () => { + window.removeEventListener("touchmove", handleTouchMove); + window.removeEventListener("pointermove", handlePointerMove); + }; + }, [size]); + + return windowPointer.current; +}; diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk.ts b/packages/use-shader-fx/src/shaders/ShaderChunk.ts new file mode 100644 index 00000000..f4a7ac82 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk.ts @@ -0,0 +1,68 @@ +import plane_vertex from "./ShaderChunk/plane_vertex.glsl"; +import srcSystem_pars_vertex from "./ShaderChunk/srcSystem_pars_vertex.glsl"; +import srcSystem_pars_fragment from "./ShaderChunk/srcSystem_pars_fragment.glsl"; +import default_vertex from "./ShaderChunk/default_vertex.glsl"; +import default_pars_vertex from "./ShaderChunk/default_pars_vertex.glsl"; +import default_pars_fragment from "./ShaderChunk/default_pars_fragment.glsl"; +import mixSrc_pars_vertex from "./ShaderChunk/mixSrc_pars_vertex.glsl"; +import mixSrc_vertex from "./ShaderChunk/mixSrc_vertex.glsl"; +import mixSrc_pars_fragment from "./ShaderChunk/mixSrc_pars_fragment.glsl"; +import mixSrc_fragment_begin from "./ShaderChunk/mixSrc_fragment_begin.glsl"; +import mixSrc_fragment_end from "./ShaderChunk/mixSrc_fragment_end.glsl"; +import mixDst_pars_vertex from "./ShaderChunk/mixDst_pars_vertex.glsl"; +import mixDst_vertex from "./ShaderChunk/mixDst_vertex.glsl"; +import mixDst_pars_fragment from "./ShaderChunk/mixDst_pars_fragment.glsl"; +import mixDst_fragment from "./ShaderChunk/mixDst_fragment.glsl"; +import texture_vertex from "./ShaderChunk/texture_vertex.glsl"; +import texture_pars_vertex from "./ShaderChunk/texture_pars_vertex.glsl"; +import texture_pars_fragment from "./ShaderChunk/texture_pars_fragment.glsl"; +import adjustments_fragment from "./ShaderChunk/adjustments_fragment.glsl"; +import adjustments_pars_fragment from "./ShaderChunk/adjustments_pars_fragment.glsl"; +import calcSrcUv from "./ShaderChunk/calcSrcUv.glsl"; + +export type ShaderChunkTypes = + | "default_pars_fragment" + | "srcSystem_pars_vertex" + | "srcSystem_pars_fragment" + | "default_pars_vertex" + | "default_vertex" + | "plane_vertex" + | "mixSrc_fragment_begin" + | "mixSrc_fragment_end" + | "mixSrc_pars_fragment" + | "mixSrc_pars_vertex" + | "mixSrc_vertex" + | "mixDst_fragment" + | "mixDst_pars_fragment" + | "mixDst_pars_vertex" + | "mixDst_vertex" + | "texture_pars_fragment" + | "texture_pars_vertex" + | "texture_vertex" + | "adjustments_fragment" + | "adjustments_pars_fragment" + | "calcSrcUv"; + +export const ShaderChunk: { [K in ShaderChunkTypes]: string } = Object.freeze({ + plane_vertex, + srcSystem_pars_vertex, + srcSystem_pars_fragment, + default_vertex, + default_pars_vertex, + default_pars_fragment, + mixSrc_vertex, + mixSrc_pars_vertex, + mixSrc_pars_fragment, + mixSrc_fragment_begin, + mixSrc_fragment_end, + mixDst_pars_vertex, + mixDst_vertex, + mixDst_pars_fragment, + mixDst_fragment, + texture_vertex, + texture_pars_vertex, + texture_pars_fragment, + adjustments_fragment, + adjustments_pars_fragment, + calcSrcUv, +}); diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/adjustments_fragment.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/adjustments_fragment.glsl new file mode 100644 index 00000000..b67a31e6 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/adjustments_fragment.glsl @@ -0,0 +1,32 @@ +#ifdef USF_USE_LEVELS + usf_FragColor = (usf_FragColor - vec4(levels_shadows)) / (vec4(levels_highlights) - vec4(levels_shadows)); + usf_FragColor = pow(usf_FragColor, vec4(1.0 / levels_midtones)); + usf_FragColor = usf_FragColor * (vec4(levels_outputMax) - vec4(levels_outputMin)) + vec4(levels_outputMin); +#endif + +#ifdef USF_USE_CONTRAST + usf_FragColor = clamp(((usf_FragColor-.5)*contrast_factor)+.5, 0., 1.); +#endif + +#ifdef USF_USE_COLORBALANCE + usf_FragColor.rgb = clamp(usf_FragColor.rgb * colorBalance_factor, 0., 1.); +#endif + +#ifdef USF_USE_HSV + vec3 hsv = rgb2hsv(usf_FragColor.rgb); + hsv.x = fract(hsv.x + hsv_hueShift); + hsv.y = clamp(hsv.y * hsv_saturation, 0.0, 1.0); + hsv.z = clamp(hsv.z * hsv_brightness, 0.0, 1.0); + usf_FragColor.rgb = hsv2rgb(hsv); +#endif + +#ifdef USF_USE_POSTERIZE + usf_FragColor = posterize(usf_FragColor, posterize_levels); +#endif + +#ifdef USF_USE_GRAYSCALE + float grayscale = dot(usf_FragColor.rgb, vec3(0.299 + grayscale_weight.r, 0.587 + grayscale_weight.g, 0.114 + grayscale_weight.b)); + grayscale = grayscale_threshold > 0.0 ? step(grayscale_threshold, grayscale) : grayscale; + vec3 duotoneColor = mix(grayscale_duotone_color0, grayscale_duotone_color1, grayscale); + usf_FragColor.rgb = grayscale_duotone ? duotoneColor : vec3(grayscale); +#endif diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/adjustments_pars_fragment.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/adjustments_pars_fragment.glsl new file mode 100644 index 00000000..9f9854d1 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/adjustments_pars_fragment.glsl @@ -0,0 +1,58 @@ +#ifdef USF_USE_LEVELS + uniform vec4 levels_shadows; + uniform vec4 levels_midtones; + uniform vec4 levels_highlights; + uniform vec4 levels_outputMin; + uniform vec4 levels_outputMax; +#endif + +#ifdef USF_USE_CONTRAST + uniform vec4 contrast_factor; +#endif + +#ifdef USF_USE_COLORBALANCE + uniform vec3 colorBalance_factor; +#endif + +#ifdef USF_USE_HSV + uniform float hsv_hueShift; + uniform float hsv_saturation; + uniform float hsv_brightness; + vec3 hsv2rgb(vec3 c) + { + vec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0); + vec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www); + return c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y); + } + vec3 rgb2hsv(vec3 c) + { + vec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0); + vec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, K.xy), step(c.b, c.g)); + vec4 q = mix(vec4(p.xyw, c.r), vec4(c.r, p.yzx), step(p.x, c.r)); + + float d = q.x - min(q.w, q.y); + float e = 1.0e-10; + return vec3(abs(q.z + (q.w - q.y) / (6.0 * d + e)), d / (q.x + e), q.x); + } +#endif + +#ifdef USF_USE_POSTERIZE + uniform vec4 posterize_levels; + vec4 posterize(vec4 color, vec4 levels) + { + return vec4( + levels.x > 1. ? floor(color.r * levels.x) / levels.x : color.r, + levels.y > 1. ? floor(color.g * levels.y) / levels.y : color.g, + levels.z > 1. ? floor(color.b * levels.z) / levels.z : color.b, + levels.w > 1. ? floor(color.a * levels.w) / levels.w : color.a + ); + } +#endif + +#ifdef USF_USE_GRAYSCALE + uniform vec3 grayscale_weight; + uniform bool grayscale_duotone; + uniform vec3 grayscale_duotone_color0; + uniform vec3 grayscale_duotone_color1; + uniform float grayscale_threshold; +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/calcSrcUv.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/calcSrcUv.glsl new file mode 100644 index 00000000..b072682a --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/calcSrcUv.glsl @@ -0,0 +1,3 @@ +vec2 calcSrcUv(vec2 uv, vec2 fitScale) { + return uv * fitScale + (1.0 - fitScale) * .5; +} \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/default_pars_fragment.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/default_pars_fragment.glsl new file mode 100644 index 00000000..2ac77bf5 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/default_pars_fragment.glsl @@ -0,0 +1,8 @@ +precision highp float; + +varying vec2 vUv; +uniform vec2 resolution; +uniform vec2 texelSize; +uniform float aspectRatio; +uniform vec2 maxAspect; +uniform int renderCount; \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/default_pars_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/default_pars_vertex.glsl new file mode 100644 index 00000000..b251fdeb --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/default_pars_vertex.glsl @@ -0,0 +1,7 @@ +precision highp float; + +varying vec2 vUv; +uniform vec2 resolution; +uniform vec2 texelSize; +uniform float aspectRatio; +uniform vec2 maxAspect; \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/default_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/default_vertex.glsl new file mode 100644 index 00000000..06d19f37 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/default_vertex.glsl @@ -0,0 +1 @@ +vUv = uv; \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_fragment.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_fragment.glsl new file mode 100644 index 00000000..c18d2041 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_fragment.glsl @@ -0,0 +1,30 @@ +#ifdef USF_USE_MIXDST + + // uv + vec2 mixedUv = vMixDstCoverUv; + mixedUv += mixDst_uv + ? (mixDst_uv_offset + (vec2(usf_FragColor[mixDst_uv_ch]) * 2. - 1.)) * + (mixDst_uv_mixMap + ? calcMixMapPower(mixDst_uv_mixMap_src,mixDst_uv_range,mixDst_uv_mixMap_ch) + : calcMixCirclePower(mixDst_uv_position,mixDst_uv_radius,mixDst_uv_range)) * mixDst_uv_factor + : vec2(0.); + vec4 mixDstColor = fitTexture(mixDst_src, mixedUv , mixDst_fit); + + // color + usf_FragColor = mixDst_color + ? mix(usf_FragColor, mixDstColor, + (mixDst_color_mixMap + ? calcMixMapPower(mixDst_color_mixMap_src,mixDst_color_range,mixDst_color_mixMap_ch) + : calcMixCirclePower(mixDst_color_position,mixDst_color_radius,mixDst_color_range)) * mixDst_color_factor) + : usf_FragColor; + + // alpha + usf_FragColor = mixDst_alpha + ? mix(usf_FragColor, mixDstColor, + (mixDst_alpha_mixMap + ? calcMixMapPower(mixDst_alpha_mixMap_src,mixDst_alpha_range,mixDst_alpha_mixMap_ch) + : calcMixCirclePower(mixDst_alpha_position,mixDst_alpha_radius,mixDst_alpha_range)) * mixDst_alpha_factor * mixDstColor.a) + : usf_FragColor; + +#endif + diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_pars_fragment.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_pars_fragment.glsl new file mode 100644 index 00000000..ef454e5e --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_pars_fragment.glsl @@ -0,0 +1,36 @@ +#ifdef USF_USE_MIXDST + + varying vec2 vMixDstCoverUv; + uniform sampler2D mixDst_src; + uniform int mixDst_fit; + + uniform bool mixDst_uv; + uniform int mixDst_uv_ch; + uniform float mixDst_uv_factor; + uniform vec2 mixDst_uv_offset; + uniform float mixDst_uv_radius; + uniform vec2 mixDst_uv_position; + uniform vec2 mixDst_uv_range; + uniform bool mixDst_uv_mixMap; + uniform sampler2D mixDst_uv_mixMap_src; + uniform int mixDst_uv_mixMap_ch; + + uniform bool mixDst_color; + uniform float mixDst_color_factor; + uniform float mixDst_color_radius; + uniform vec2 mixDst_color_position; + uniform vec2 mixDst_color_range; + uniform bool mixDst_color_mixMap; + uniform sampler2D mixDst_color_mixMap_src; + uniform int mixDst_color_mixMap_ch; + + uniform bool mixDst_alpha; + uniform float mixDst_alpha_factor; + uniform float mixDst_alpha_radius; + uniform vec2 mixDst_alpha_position; + uniform vec2 mixDst_alpha_range; + uniform bool mixDst_alpha_mixMap; + uniform sampler2D mixDst_alpha_mixMap_src; + uniform int mixDst_alpha_mixMap_ch; + +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_pars_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_pars_vertex.glsl new file mode 100644 index 00000000..c481aa5e --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_pars_vertex.glsl @@ -0,0 +1,4 @@ +#ifdef USF_USE_MIXDST + varying vec2 vMixDstCoverUv; + uniform vec2 mixDst_fitScale; +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_vertex.glsl new file mode 100644 index 00000000..b6198b34 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/mixDst_vertex.glsl @@ -0,0 +1,3 @@ +#ifdef USF_USE_MIXDST + vMixDstCoverUv = calcSrcUv(vUv, mixDst_fitScale); +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_fragment_begin.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_fragment_begin.glsl new file mode 100644 index 00000000..af742b18 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_fragment_begin.glsl @@ -0,0 +1,12 @@ +#ifdef USF_USE_MIXSRC + + vec4 mixSrcColor = fitTexture(mixSrc_src, vMixSrcCoverUv, mixSrc_fit); + + usf_Uv += mixSrc_uv + ? (mixSrc_uv_offset + (vec2(mixSrcColor[mixSrc_uv_ch]) * 2. - 1.)) * + (mixSrc_uv_mixMap + ? calcMixMapPower(mixSrc_uv_mixMap_src,mixSrc_uv_range,mixSrc_uv_mixMap_ch) + : calcMixCirclePower(mixSrc_uv_position,mixSrc_uv_radius,mixSrc_uv_range)) * mixSrc_uv_factor + : vec2(0.); + +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_fragment_end.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_fragment_end.glsl new file mode 100644 index 00000000..9ba86b80 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_fragment_end.glsl @@ -0,0 +1,18 @@ +#ifdef USF_USE_MIXSRC + // color + usf_FragColor = mixSrc_color + ? mix(usf_FragColor, mixSrcColor, + (mixSrc_color_mixMap + ? calcMixMapPower(mixSrc_color_mixMap_src,mixSrc_color_range,mixSrc_color_mixMap_ch) + : calcMixCirclePower(mixSrc_color_position,mixSrc_color_radius,mixSrc_color_range)) * mixSrc_color_factor) + : usf_FragColor; + + // alpha + usf_FragColor = mixSrc_alpha + ? mix(usf_FragColor, mixSrcColor, + (mixSrc_alpha_mixMap + ? calcMixMapPower(mixSrc_alpha_mixMap_src,mixSrc_alpha_range,mixSrc_alpha_mixMap_ch) + : calcMixCirclePower(mixSrc_alpha_position,mixSrc_alpha_radius,mixSrc_alpha_range)) * mixSrc_alpha_factor * mixSrcColor.a) + : usf_FragColor; + +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_pars_fragment.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_pars_fragment.glsl new file mode 100644 index 00000000..fafe4431 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_pars_fragment.glsl @@ -0,0 +1,35 @@ +#ifdef USF_USE_MIXSRC + varying vec2 vMixSrcCoverUv; + uniform sampler2D mixSrc_src; + uniform int mixSrc_fit; + + uniform bool mixSrc_uv; + uniform int mixSrc_uv_ch; + uniform float mixSrc_uv_factor; + uniform vec2 mixSrc_uv_offset; + uniform float mixSrc_uv_radius; + uniform vec2 mixSrc_uv_position; + uniform vec2 mixSrc_uv_range; + uniform bool mixSrc_uv_mixMap; + uniform sampler2D mixSrc_uv_mixMap_src; + uniform int mixSrc_uv_mixMap_ch; + + uniform bool mixSrc_color; + uniform float mixSrc_color_factor; + uniform float mixSrc_color_radius; + uniform vec2 mixSrc_color_position; + uniform vec2 mixSrc_color_range; + uniform bool mixSrc_color_mixMap; + uniform sampler2D mixSrc_color_mixMap_src; + uniform int mixSrc_color_mixMap_ch; + + uniform bool mixSrc_alpha; + uniform float mixSrc_alpha_factor; + uniform float mixSrc_alpha_radius; + uniform vec2 mixSrc_alpha_position; + uniform vec2 mixSrc_alpha_range; + uniform bool mixSrc_alpha_mixMap; + uniform sampler2D mixSrc_alpha_mixMap_src; + uniform int mixSrc_alpha_mixMap_ch; + +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_pars_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_pars_vertex.glsl new file mode 100644 index 00000000..8efa6771 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_pars_vertex.glsl @@ -0,0 +1,4 @@ +#ifdef USF_USE_MIXSRC + varying vec2 vMixSrcCoverUv; + uniform vec2 mixSrc_fitScale; +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_vertex.glsl new file mode 100644 index 00000000..a2bfc855 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/mixSrc_vertex.glsl @@ -0,0 +1,3 @@ +#ifdef USF_USE_MIXSRC + vMixSrcCoverUv = calcSrcUv(vUv, mixSrc_fitScale); +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/plane_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/plane_vertex.glsl new file mode 100644 index 00000000..bd687d85 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/plane_vertex.glsl @@ -0,0 +1 @@ +gl_Position = vec4(position, 1.0); \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/srcSystem_pars_fragment.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/srcSystem_pars_fragment.glsl new file mode 100644 index 00000000..35f8087f --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/srcSystem_pars_fragment.glsl @@ -0,0 +1,27 @@ +#ifdef USF_USE_SRC_SYSTEM + + #usf <calcSrcUv> + + float calcMixCirclePower(vec2 center, float radius, vec2 range) + { + vec2 adjustedUV = (vUv - 0.5) * vec2(aspectRatio, 1.0) + 0.5; + vec2 adjustedCenter = (center - 0.5) * vec2(aspectRatio, 1.0) + 0.5; + + float dist = length(adjustedUV - adjustedCenter); + float power = radius > 0.0 ? 1.0 - dist / radius : 1.0; + return smoothstep(range.x,range.y,power); + } + + float calcMixMapPower(sampler2D map,vec2 range, int ch) + { + return smoothstep(range.x,range.y, texture2D(map, vUv)[ch]); + } + + vec4 fitTexture(sampler2D src , vec2 uv, int fitType) + { + // fitTypeがcontainの場合だけ範囲外を透過する + float a = fitType == 2 ? step(0.0, uv.x) * step(uv.x, 1.0) * step(0.0, uv.y) * step(uv.y, 1.0) : 1.; + return mix(vec4(0.), texture2D(src, uv), a); + } + +#endif diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/srcSystem_pars_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/srcSystem_pars_vertex.glsl new file mode 100644 index 00000000..91dcdab7 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/srcSystem_pars_vertex.glsl @@ -0,0 +1,5 @@ +#ifdef USF_USE_SRC_SYSTEM + + #usf <calcSrcUv> + +#endif diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/texture_pars_fragment.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/texture_pars_fragment.glsl new file mode 100644 index 00000000..19fc5113 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/texture_pars_fragment.glsl @@ -0,0 +1,6 @@ +#ifdef USF_USE_TEXTURE + varying vec2 vTextureCoverUv; + uniform sampler2D texture_src; + uniform int texture_fit; + uniform vec2 texture_fitScale; +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/texture_pars_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/texture_pars_vertex.glsl new file mode 100644 index 00000000..cf0d4085 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/texture_pars_vertex.glsl @@ -0,0 +1,4 @@ +#ifdef USF_USE_TEXTURE + varying vec2 vTextureCoverUv; + uniform vec2 texture_fitScale; +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderChunk/texture_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderChunk/texture_vertex.glsl new file mode 100644 index 00000000..d78690f5 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderChunk/texture_vertex.glsl @@ -0,0 +1,3 @@ +#ifdef USF_USE_TEXTURE + vTextureCoverUv = calcSrcUv(vUv, texture_fitScale); +#endif \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib.ts b/packages/use-shader-fx/src/shaders/ShaderLib.ts new file mode 100644 index 00000000..0006fd3a --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib.ts @@ -0,0 +1,41 @@ +import plane_vertex from "./ShaderLib/plane_vertex.glsl"; +import default_vertex from "./ShaderLib/default_vertex.glsl"; +import default_pars_vertex from "./ShaderLib/default_pars_vertex.glsl"; +import default_pars_fragment from "./ShaderLib/default_pars_fragment.glsl"; +import basicFx_vertex from "./ShaderLib/basicFx_vertex.glsl"; +import basicFx_pars_vertex from "./ShaderLib/basicFx_pars_vertex.glsl"; +import basicFx_pars_fragment from "./ShaderLib/basicFx_pars_fragment.glsl"; +import basicFx_fragment_begin from "./ShaderLib/basicFx_fragment_begin.glsl"; +import basicFx_fragment_end from "./ShaderLib/basicFx_fragment_end.glsl"; +import samplingFx_vertex from "./ShaderLib/samplingFx_vertex.glsl"; +import samplingFx_pars_vertex from "./ShaderLib/samplingFx_pars_vertex.glsl"; +import samplingFx_pars_fragment from "./ShaderLib/samplingFx_pars_fragment.glsl"; + +export type ShaderLibTypes = + | "plane_vertex" + | "default_vertex" + | "default_pars_vertex" + | "default_pars_fragment" + | "basicFx_vertex" + | "basicFx_pars_vertex" + | "basicFx_pars_fragment" + | "basicFx_fragment_begin" + | "basicFx_fragment_end" + | "samplingFx_vertex" + | "samplingFx_pars_vertex" + | "samplingFx_pars_fragment"; + +export const ShaderLib: { [K in ShaderLibTypes]: string } = Object.freeze({ + plane_vertex, + default_vertex, + default_pars_vertex, + default_pars_fragment, + basicFx_vertex, + basicFx_pars_vertex, + basicFx_pars_fragment, + basicFx_fragment_begin, + basicFx_fragment_end, + samplingFx_vertex, + samplingFx_pars_vertex, + samplingFx_pars_fragment, +}); diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_fragment_begin.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_fragment_begin.glsl new file mode 100644 index 00000000..ae4979ef --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_fragment_begin.glsl @@ -0,0 +1 @@ +#usf <mixSrc_fragment_begin> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_fragment_end.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_fragment_end.glsl new file mode 100644 index 00000000..a9d12394 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_fragment_end.glsl @@ -0,0 +1,3 @@ +#usf <mixSrc_fragment_end> +#usf <mixDst_fragment> +#usf <adjustments_fragment> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_pars_fragment.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_pars_fragment.glsl new file mode 100644 index 00000000..2d730bb2 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_pars_fragment.glsl @@ -0,0 +1,4 @@ +#usf <mixSrc_pars_fragment> +#usf <mixDst_pars_fragment> +#usf <srcSystem_pars_fragment> +#usf <adjustments_pars_fragment> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_pars_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_pars_vertex.glsl new file mode 100644 index 00000000..307a0298 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_pars_vertex.glsl @@ -0,0 +1,3 @@ +#usf <srcSystem_pars_vertex> +#usf <mixSrc_pars_vertex> +#usf <mixDst_pars_vertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_vertex.glsl new file mode 100644 index 00000000..30529c1e --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/basicFx_vertex.glsl @@ -0,0 +1,2 @@ +#usf <mixSrc_vertex> +#usf <mixDst_vertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/default_pars_fragment.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/default_pars_fragment.glsl new file mode 100644 index 00000000..8971a903 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/default_pars_fragment.glsl @@ -0,0 +1 @@ +#usf <default_pars_fragment> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/default_pars_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/default_pars_vertex.glsl new file mode 100644 index 00000000..a8f35a66 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/default_pars_vertex.glsl @@ -0,0 +1 @@ +#usf <default_pars_vertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/default_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/default_vertex.glsl new file mode 100644 index 00000000..69d54c90 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/default_vertex.glsl @@ -0,0 +1 @@ +#usf <default_vertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/plane_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/plane_vertex.glsl new file mode 100644 index 00000000..a2b40495 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/plane_vertex.glsl @@ -0,0 +1 @@ +#usf <plane_vertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/samplingFx_pars_fragment.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/samplingFx_pars_fragment.glsl new file mode 100644 index 00000000..f21eeee4 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/samplingFx_pars_fragment.glsl @@ -0,0 +1 @@ +#usf <texture_pars_fragment> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/samplingFx_pars_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/samplingFx_pars_vertex.glsl new file mode 100644 index 00000000..81140e09 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/samplingFx_pars_vertex.glsl @@ -0,0 +1 @@ +#usf <texture_pars_vertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/ShaderLib/samplingFx_vertex.glsl b/packages/use-shader-fx/src/shaders/ShaderLib/samplingFx_vertex.glsl new file mode 100644 index 00000000..13a1bae8 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/ShaderLib/samplingFx_vertex.glsl @@ -0,0 +1 @@ +#usf <texture_vertex> \ No newline at end of file diff --git a/packages/use-shader-fx/src/shaders/shaderUtils.ts b/packages/use-shader-fx/src/shaders/shaderUtils.ts new file mode 100644 index 00000000..cf2bf380 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/shaderUtils.ts @@ -0,0 +1,80 @@ +import { ShaderLib } from "./ShaderLib"; +import { ShaderChunk, ShaderChunkTypes } from "./ShaderChunk"; + +/** merge shader codes */ +export function mergeShaderCode(prefix: string[]): string { + return prefix.filter((string) => string !== "").join("\n"); +} + +/*=============================================== +MEMO +- SamplingFxMaterialをさらに拡張する場合（例えばuseTextureTransitionとかで、複数のtextureのfitScaleが必要な場合）、ここでShaderLibTypeを追加する。 +===============================================*/ + +export type ShaderLibType = "default" | "basicFx" | "samplingFx"; +/** + * merge ShaderLib to shader + * basicFx_fragment_begin, basicFx_fragment_endは含まない。これらは各FXでカスタマイズする必要があるため。 + */ +export function mergeShaderLib( + vertexShader: string | undefined, + fragmentShader: string | undefined, + type: ShaderLibType +): [string | undefined, string | undefined] { + let vertex, + fragment = undefined; + + const ShaderLibs = { + default: { + vertexPars: ShaderLib.default_pars_vertex, + vertexMain: ShaderLib.default_vertex, + fragmentPars: ShaderLib.default_pars_fragment, + }, + basicFx: { + vertexPars: ShaderLib.basicFx_pars_vertex, + vertexMain: ShaderLib.basicFx_vertex, + fragmentPars: ShaderLib.basicFx_pars_fragment, + }, + samplingFx: { + vertexPars: mergeShaderCode([ + ShaderLib.basicFx_pars_vertex, + ShaderLib.samplingFx_pars_vertex, + ]), + vertexMain: mergeShaderCode([ + ShaderLib.basicFx_vertex, + ShaderLib.samplingFx_vertex, + ]), + fragmentPars: mergeShaderCode([ + ShaderLib.basicFx_pars_fragment, + ShaderLib.samplingFx_pars_fragment, + ]), + }, + }; + + const vertexPars = ShaderLibs[type].vertexPars; + const vertexMain = ShaderLibs[type].vertexMain; + const fragmentPars = ShaderLibs[type].fragmentPars; + + if (vertexShader) { + vertex = mergeShaderCode([vertexPars, vertexShader]); + vertex = vertex.replace( + /void\s+main\s*\(\)\s*\{/, + `void main() {\n${vertexMain}` + ); + } + + if (fragmentShader) { + fragment = mergeShaderCode([fragmentPars, fragmentShader]); + } + + return [vertex, fragment]; +} + +const includePattern = /^[ \t]*#usf +<([\w\d./]+)>/gm; +function includeReplacer(match: string, include: ShaderChunkTypes): string { + return resolveIncludes(ShaderChunk[include] || ""); +} +/** Resolve Includes */ +export function resolveIncludes(string: string): string { + return string.replace(includePattern, includeReplacer); +} diff --git a/packages/use-shader-fx/src/shaders/uniformsUtils.ts b/packages/use-shader-fx/src/shaders/uniformsUtils.ts new file mode 100644 index 00000000..327525e9 --- /dev/null +++ b/packages/use-shader-fx/src/shaders/uniformsUtils.ts @@ -0,0 +1,81 @@ +import * as THREE from "three"; +import { warn } from "../utils"; +import { THREE_FLAG_PROPS } from "../libs/constants"; + +export type Uniforms = { [uniform: string]: THREE.IUniform<any> }; + +/** typescriptトリックで{}を許容しているが、実際にuniformに渡る際にはbooleanのみ */ +export type UniformParentKey = boolean | {}; + +export type ShaderWithUniforms = { + uniforms?: Uniforms; + vertexShader?: string; + fragmentShader?: string; +}; + +/** + * test:{value:number} => test:number + * materialのprops型を定義する + * materialにはuniformsのsetter/getterが定義されている.その型推論のため. + */ +export type ExtractUniformValues<T> = { + [K in keyof T]?: T[K] extends { value: infer U } ? U : never; +}; + +/** + * test_test:{value:number} => { test: { test: number | (value:number)=>number } } + */ +type Nest<K extends string, V> = K extends `${infer First}_${infer Rest}` + ? { [P in First]?: Nest<Rest, V> } + : { [P in K]?: V | ((value: V) => V) }; + +type UnionToIntersection<U> = (U extends any ? (k: U) => void : never) extends ( + k: infer I +) => void + ? I + : never; +export type NestUniformValues<U extends Uniforms> = UnionToIntersection< + { [K in keyof U]: Nest<Extract<K, string>, U[K]["value"]> }[keyof U] +>; + +/** + * Determines whether the given property is a three.js object by checking for the presence + * of known boolean flag properties (e.g., `isTexture`, `isVector2`, etc.) that are typically + * set to true on three.js instances. + */ +function isTHREE(property: any) { + return property && THREE_FLAG_PROPS.some((prop) => property[prop] === true); +} + +/** + * {test:{test:1}} => {test_test:1} に変換する + * この時、条件分岐用uniform値として親のkey{test:true}を追加する + */ +export function flattenUniformValues( + obj: Record<string, any> +): Record<string, any> { + const flatObject: Record<string, any> = {}; + + const flatten = (currentObj: any, parentKey = ""): void => { + for (const [key, val] of Object.entries(currentObj)) { + const newKey = parentKey ? `${parentKey}_${key}` : key; + if ( + val && + typeof val === "object" && + !Array.isArray(val) && + !isTHREE(val) + ) { + (flatObject[newKey] as UniformParentKey) = true; // 親のkey{test:true}を追加する + flatten(val, newKey); + } else { + if (flatObject.hasOwnProperty(newKey)) { + warn(`${newKey} already exists and will be overwritten.`); + } + flatObject[newKey] = val; + } + } + }; + + flatten(obj); + return flatObject; +} diff --git a/packages/use-shader-fx/src/utils/createMaterialParameters.ts b/packages/use-shader-fx/src/utils/createMaterialParameters.ts deleted file mode 100644 index 5b7b52a3..00000000 --- a/packages/use-shader-fx/src/utils/createMaterialParameters.ts +++ /dev/null @@ -1,12 +0,0 @@ -import { resolveIncludes } from "../libs/shaders/resolveShaders"; -import { OnBeforeInitParameters } from "../fxs/types"; - -export const createMaterialParameters = ( - parameters: OnBeforeInitParameters, - onBeforeInit?: (parameters: OnBeforeInitParameters) => void -) => { - onBeforeInit && onBeforeInit(parameters); - parameters.vertexShader = resolveIncludes(parameters.vertexShader); - parameters.fragmentShader = resolveIncludes(parameters.fragmentShader); - return parameters; -}; diff --git a/packages/use-shader-fx/src/utils/getDpr.ts b/packages/use-shader-fx/src/utils/getDpr.ts index 88caeef8..20f28eff 100644 --- a/packages/use-shader-fx/src/utils/getDpr.ts +++ b/packages/use-shader-fx/src/utils/getDpr.ts @@ -1,4 +1,4 @@ -import { Dpr } from "../fxs/types"; +import { Dpr } from "../hooks/types"; export const getDpr = ( dpr: Dpr diff --git a/packages/use-shader-fx/src/utils/index.ts b/packages/use-shader-fx/src/utils/index.ts new file mode 100644 index 00000000..ea3c69bb --- /dev/null +++ b/packages/use-shader-fx/src/utils/index.ts @@ -0,0 +1,8 @@ +export * from "./getDpr"; +export * from "./useCamera"; +export * from "./useDoubleFBO"; +export * from "./useSetup"; +export * from "./useMutableState"; +export * from "./useResolution"; +export * from "./useSingleFBO"; +export * from "./warn"; diff --git a/packages/use-shader-fx/src/utils/setUniforms.ts b/packages/use-shader-fx/src/utils/setUniforms.ts deleted file mode 100644 index 23c30d2e..00000000 --- a/packages/use-shader-fx/src/utils/setUniforms.ts +++ /dev/null @@ -1,46 +0,0 @@ -import * as THREE from "three"; -type UniformValue = - | THREE.CubeTexture - | THREE.Texture - | Int32Array - | Float32Array - | THREE.Matrix4 - | THREE.Matrix3 - | THREE.Quaternion - | THREE.Vector4 - | THREE.Vector3 - | THREE.Vector2 - | THREE.Color - | number - | boolean - | Array<any> - | null - | undefined; -type UniformObject = { [key: string]: { value: UniformValue } }; - -export const setUniform = - <T extends UniformObject>(material: { uniforms: T }) => - (key: keyof T, value: UniformValue) => { - if (value === undefined) { - return; - } - const uniforms = material.uniforms; - if (uniforms && uniforms[key]) { - uniforms[key].value = value; - } - }; - -export type CustomParams = { [uniform: string]: UniformValue }; -export const setCustomUniform = - (material: { uniforms: UniformObject }) => - (customParams: CustomParams | undefined) => { - if (customParams === undefined) { - return; - } - Object.keys(customParams).forEach((key) => { - const uniforms = material.uniforms; - if (uniforms && uniforms[key]) { - uniforms[key].value = customParams[key]; - } - }); - }; diff --git a/packages/use-shader-fx/src/utils/useAddMesh.ts b/packages/use-shader-fx/src/utils/useAddMesh.ts deleted file mode 100644 index b0c8aac3..00000000 --- a/packages/use-shader-fx/src/utils/useAddMesh.ts +++ /dev/null @@ -1,25 +0,0 @@ -import * as THREE from "three"; -import { useEffect, useMemo } from "react"; - -/** Generate mesh from geometry and material and add to scene */ -export const useAddMesh = ( - scene: THREE.Scene, - geometry: THREE.BufferGeometry, - material: THREE.Material -) => { - const mesh = useMemo(() => { - const mesh = new THREE.Mesh(geometry, material); - scene.add(mesh); - return mesh; - }, [geometry, material, scene]); - - useEffect(() => { - return () => { - scene.remove(mesh); - geometry.dispose(); - material.dispose(); - }; - }, [scene, geometry, material, mesh]); - - return mesh; -}; diff --git a/packages/use-shader-fx/src/utils/useCamera.ts b/packages/use-shader-fx/src/utils/useCamera.ts index 8da37f48..187fb416 100644 --- a/packages/use-shader-fx/src/utils/useCamera.ts +++ b/packages/use-shader-fx/src/utils/useCamera.ts @@ -1,7 +1,7 @@ import * as THREE from "three"; import { useResolution } from "./useResolution"; -import { useMemo } from "react"; -import { Size } from "../fxs/types"; +import { useState } from "react"; +import { Size } from "../hooks/types"; const getCameraProps = (width: number, height: number) => { const frustumSize = height; @@ -19,7 +19,8 @@ export const useCamera = ( resolution.x, resolution.y ); - const camera = useMemo(() => { + + const [camera] = useState(() => { return cameraType === "OrthographicCamera" ? new THREE.OrthographicCamera( -width, @@ -30,6 +31,20 @@ export const useCamera = ( far ) : new THREE.PerspectiveCamera(50, width / height); - }, [width, height, near, far, cameraType]); + }); + + if (camera instanceof THREE.OrthographicCamera) { + camera.left = -width; + camera.right = width; + camera.top = height; + camera.bottom = -height; + camera.near = near; + camera.far = far; + camera.updateProjectionMatrix(); + } else if (camera instanceof THREE.PerspectiveCamera) { + camera.aspect = width / height; + camera.updateProjectionMatrix(); + } + return camera; }; diff --git a/packages/use-shader-fx/src/utils/useDoubleFBO.ts b/packages/use-shader-fx/src/utils/useDoubleFBO.ts index ddfb11d0..a5df25c1 100644 --- a/packages/use-shader-fx/src/utils/useDoubleFBO.ts +++ b/packages/use-shader-fx/src/utils/useDoubleFBO.ts @@ -1,6 +1,11 @@ import * as THREE from "three"; -import { useCallback, useEffect, useMemo } from "react"; -import { FBO_DEFAULT_OPTION, UseFboProps, renderFBO } from "./useSingleFBO"; +import { useCallback, useEffect, useState } from "react"; +import { + FBO_DEFAULT_OPTION, + UseFboProps, + renderFBO, + RenderProps, +} from "./useSingleFBO"; import { useResolution } from "./useResolution"; export type DoubleRenderTarget = { @@ -12,8 +17,8 @@ interface WebGLDoubleRenderTarget extends DoubleRenderTarget { swap: () => void; } -type FBOUpdateFunction = ( - gl: THREE.WebGLRenderer, +export type DoubleFBOUpdateFunction = ( + renderProps: RenderProps, /** call before FBO is rendered */ onBeforeRender?: ({ read, @@ -26,7 +31,7 @@ type FBOUpdateFunction = ( type UseDoubleFBOReturn = [ { read: THREE.WebGLRenderTarget; write: THREE.WebGLRenderTarget }, - FBOUpdateFunction + DoubleFBOUpdateFunction ]; /** @@ -39,14 +44,14 @@ export const useDoubleFBO = (props: UseFboProps): UseDoubleFBOReturn => { camera, size, dpr = false, - isSizeUpdate = false, + fboAutoSetSize = false, depth = false, ...renderTargetOptions } = props; const resolution = useResolution(size, dpr); - const renderTarget = useMemo<WebGLDoubleRenderTarget>(() => { + const [renderTarget] = useState<WebGLDoubleRenderTarget>(() => { const read = new THREE.WebGLRenderTarget(resolution.x, resolution.y, { ...FBO_DEFAULT_OPTION, ...renderTargetOptions, @@ -78,10 +83,9 @@ export const useDoubleFBO = (props: UseFboProps): UseDoubleFBOReturn => { this.write = temp; }, }; - // eslint-disable-next-line react-hooks/exhaustive-deps - }, []); + }); - if (isSizeUpdate) { + if (fboAutoSetSize) { renderTarget.read?.setSize(resolution.x, resolution.y); renderTarget.write?.setSize(resolution.x, resolution.y); } @@ -94,17 +98,16 @@ export const useDoubleFBO = (props: UseFboProps): UseDoubleFBOReturn => { }; }, [renderTarget]); - const updateRenderTarget: FBOUpdateFunction = useCallback( - (gl, onBeforeRender) => { + const updateRenderTarget: DoubleFBOUpdateFunction = useCallback( + (renderProps, onBeforeRender) => { const fbo = renderTarget; renderFBO({ - gl, - scene, - camera, + ...renderProps, + scene: renderProps.scene || scene, + camera: renderProps.camera || camera, fbo: fbo.write!, onBeforeRender: () => - onBeforeRender && - onBeforeRender({ + onBeforeRender?.({ read: fbo.read!.texture, write: fbo.write!.texture, }), diff --git a/packages/use-shader-fx/src/utils/useMutableState.ts b/packages/use-shader-fx/src/utils/useMutableState.ts new file mode 100644 index 00000000..352604eb --- /dev/null +++ b/packages/use-shader-fx/src/utils/useMutableState.ts @@ -0,0 +1,13 @@ +import { useCallback, useRef } from "react"; + +export const useMutableState = <S>(state: S) => { + const ref = useRef(state); + const setRef = useCallback((value: S | ((prevState: S) => S)) => { + ref.current = + typeof value === "function" + ? (value as (prevState: S) => S)(ref.current) + : value; + }, []); + + return [ref, setRef] as const; +}; diff --git a/packages/use-shader-fx/src/utils/useAddObject.ts b/packages/use-shader-fx/src/utils/useObject3D.ts similarity index 64% rename from packages/use-shader-fx/src/utils/useAddObject.ts rename to packages/use-shader-fx/src/utils/useObject3D.ts index 591f6921..46fbdd40 100644 --- a/packages/use-shader-fx/src/utils/useAddObject.ts +++ b/packages/use-shader-fx/src/utils/useObject3D.ts @@ -1,5 +1,5 @@ import * as THREE from "three"; -import { useEffect, useMemo } from "react"; +import { useEffect, useState } from "react"; type Object3DConstructor<T, M extends THREE.Material> = new ( geometry: THREE.BufferGeometry, @@ -9,22 +9,16 @@ type Object3DConstructor<T, M extends THREE.Material> = new ( /** * Add geometry and material to Object3D and add them to scene. */ -export const useAddObject = < - T extends THREE.Object3D, - M extends THREE.Material ->( +export const useObject3D = <T extends THREE.Object3D, M extends THREE.Material>( scene: THREE.Scene | false, geometry: THREE.BufferGeometry, material: M, Proto: Object3DConstructor<T, M> ) => { - const object3D = useMemo(() => { - const obj = new Proto(geometry, material); - scene && scene.add(obj); - return obj; - }, [geometry, material, Proto, scene]); + const [object3D] = useState(() => new Proto(geometry, material)); useEffect(() => { + scene && scene.add(object3D); return () => { scene && scene.remove(object3D); geometry.dispose(); diff --git a/packages/use-shader-fx/src/utils/useParams.ts b/packages/use-shader-fx/src/utils/useParams.ts deleted file mode 100644 index a8e2f2ff..00000000 --- a/packages/use-shader-fx/src/utils/useParams.ts +++ /dev/null @@ -1,40 +0,0 @@ -import { useCallback, useRef } from "react"; - -type SetParams<T> = (newParams?: Partial<T>) => void; -type UseParamsReturn<T> = [T, SetParams<T>]; - -/** - * @param params Receives an initial value object. With structuredClone, deep copy and set, but if the object contains a function, just set it. - */ -export const useParams = <T extends object>(params: T): UseParamsReturn<T> => { - const isContainsFunctions = (obj: object): boolean => - Object.values(obj).some((value) => typeof value === "function"); - const paramsRef = useRef( - isContainsFunctions(params) ? params : structuredClone(params) - ); - - const setParams = useCallback<SetParams<T>>((newParams) => { - if (newParams === undefined) { - return; - } - for (const key in newParams) { - const paramKey = key as keyof T; - if ( - paramKey in paramsRef.current && - newParams[paramKey] !== undefined && - newParams[paramKey] !== null - ) { - paramsRef.current[paramKey] = newParams[paramKey]!; - } else { - console.error( - `"${String( - paramKey - )}" does not exist in the params. or "${String( - paramKey - )}" is null | undefined` - ); - } - } - }, []); - return [paramsRef.current, setParams]; -}; diff --git a/packages/use-shader-fx/src/utils/useResizeBoundary.ts b/packages/use-shader-fx/src/utils/useResizeBoundary.ts deleted file mode 100644 index 71373a7f..00000000 --- a/packages/use-shader-fx/src/utils/useResizeBoundary.ts +++ /dev/null @@ -1,55 +0,0 @@ -import { useMemo, useRef } from "react"; -import { Size } from "../fxs/types"; - -const checkUpdate = ( - currentW: number, - currentH: number, - memoW: number, - memoH: number, - threshold: number, - boundFor: "smaller" | "larger" | "both" -) => { - const isSmaller = - currentW < memoW - threshold || currentH < memoH - threshold; - const isLarger = - currentW > memoW + threshold || currentH > memoH + threshold; - - return ( - (boundFor === "smaller" && isSmaller) || - (boundFor === "larger" && isLarger) || - (boundFor === "both" && (isSmaller || isLarger)) - ); -}; - -export const useResizeBoundary = ({ - size, - boundFor, - threshold, -}: { - size: Size; - boundFor: "smaller" | "larger" | "both"; - threshold: number; -}) => { - const memorizedSize = useRef<Size>(size); - - const isBeyondBoundary = useMemo<boolean>(() => { - const { width: currentW, height: currentH } = size; - const { width: memoW, height: memoH } = memorizedSize.current; - - const isUpdate = checkUpdate( - currentW, - currentH, - memoW, - memoH, - threshold, - boundFor - ); - - if (isUpdate) { - memorizedSize.current = size; - } - return isUpdate; - }, [size, boundFor, threshold]); - - return isBeyondBoundary; -}; diff --git a/packages/use-shader-fx/src/utils/useResolution.ts b/packages/use-shader-fx/src/utils/useResolution.ts index 1ae2c633..e4d1a1bc 100644 --- a/packages/use-shader-fx/src/utils/useResolution.ts +++ b/packages/use-shader-fx/src/utils/useResolution.ts @@ -1,6 +1,6 @@ import * as THREE from "three"; -import { useMemo } from "react"; -import { Size } from "../fxs/types"; +import { useState } from "react"; +import { Size } from "../hooks/types"; /** * @params dpr if dpr is set, it returns the resolution which is size multiplied by dpr. @@ -9,9 +9,8 @@ export const useResolution = (size: Size, dpr: number | false = false) => { const _width = dpr ? size.width * dpr : size.width; const _height = dpr ? size.height * dpr : size.height; - const resolution = useMemo( - () => new THREE.Vector2(_width, _height), - [_width, _height] - ); + const [resolution] = useState(() => new THREE.Vector2(_width, _height)); + resolution.set(_width, _height); + return resolution; }; diff --git a/packages/use-shader-fx/src/utils/useSetup.ts b/packages/use-shader-fx/src/utils/useSetup.ts new file mode 100644 index 00000000..aae76e05 --- /dev/null +++ b/packages/use-shader-fx/src/utils/useSetup.ts @@ -0,0 +1,81 @@ +import * as THREE from "three"; +import { useEffect, useState } from "react"; +import { Size } from "../hooks/types"; +import { useResolution } from "./useResolution"; +import { FxMaterial, FxMaterialProps } from "../materials/core/FxMaterial"; +import { useCamera } from "./useCamera"; + +type Object3DConstructor<T, M extends THREE.Material> = new ( + geometry: THREE.BufferGeometry, + material: M +) => T; + +type MaterialConstructor<M> = new (props: FxMaterialProps) => M; + +type GeometryConstructor = new ( + width: number, + height: number +) => THREE.BufferGeometry; + +/** + * Add geometry and material to Object3D and add them to scene. + */ +const useObject3D = <T extends THREE.Object3D, M extends THREE.Material>( + scene: THREE.Scene | false, + geometry: THREE.BufferGeometry, + material: M, + Proto: Object3DConstructor<T, M> +) => { + const [object3D] = useState(() => new Proto(geometry, material)); + + useEffect(() => { + scene && scene.add(object3D); + return () => { + scene && scene.remove(object3D); + geometry.dispose(); + material.dispose(); + }; + }, [scene, geometry, material, object3D]); + + return object3D; +}; + +export const useSetup = <M extends FxMaterial>({ + size, + dpr, + material, + geometry = THREE.PlaneGeometry, + geometrySize, + ...materialProps +}: { + size: Size; + dpr: number | false; + material: MaterialConstructor<M>; + geometry?: GeometryConstructor; + geometrySize?: { + width: number; + height: number; + }; +} & FxMaterialProps) => { + // Mutable THREE objects should retain their values in useState + // https://github.com/FunTechInc/use-shader-fx/issues/145 + const [scene] = useState(() => new THREE.Scene()); + const [_geometry] = useState( + () => new geometry(geometrySize?.width || 2, geometrySize?.height || 2) + ); + const [_material] = useState(() => new material(materialProps)); + + // materialのresolutionはreactiveに更新する + const resolution = useResolution(size, dpr); + _material.updateResolution(resolution.x, resolution.y); + + useObject3D(scene, _geometry, _material, THREE.Mesh); + + const camera = useCamera(size); + + return { + scene, + material: _material, + camera, + }; +}; diff --git a/packages/use-shader-fx/src/utils/useSingleFBO.ts b/packages/use-shader-fx/src/utils/useSingleFBO.ts index 8dc8f6fc..ccd7a5d9 100644 --- a/packages/use-shader-fx/src/utils/useSingleFBO.ts +++ b/packages/use-shader-fx/src/utils/useSingleFBO.ts @@ -1,59 +1,66 @@ import * as THREE from "three"; -import { useCallback, useEffect, useMemo, useRef } from "react"; +import { useCallback, useEffect, useState } from "react"; import { useResolution } from "./useResolution"; -import { Size } from "../fxs/types"; +import { Size } from "../hooks/types"; export const FBO_DEFAULT_OPTION: THREE.RenderTargetOptions = { depthBuffer: false, }; export type UseFboProps = { - scene: THREE.Scene; - camera: THREE.Camera; + scene?: THREE.Scene; + camera?: THREE.Camera; size: Size; /** If dpr is set, dpr will be multiplied, default : `false` */ dpr?: number | false; /** Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default : `false` */ - isSizeUpdate?: boolean; + fboAutoSetSize?: boolean; /** If set, the scene depth will be rendered into buffer.depthTexture. default : `false` */ depth?: boolean; } & THREE.RenderTargetOptions; +export type RenderProps = { + gl: THREE.WebGLRenderer; + scene?: THREE.Scene; + camera?: THREE.Camera; + clear?: boolean; +}; + export const renderFBO = ({ gl, fbo, scene, camera, + clear = true, onBeforeRender, onSwap, }: { - gl: THREE.WebGLRenderer; fbo: THREE.WebGLRenderTarget; - scene: THREE.Scene; - camera: THREE.Camera; onBeforeRender: () => void; onSwap?: () => void; -}) => { +} & RenderProps) => { + if (!scene || !camera) return; + const clearCache = gl.autoClear; + gl.autoClear = clear; gl.setRenderTarget(fbo); onBeforeRender(); - gl.clear(); gl.render(scene, camera); onSwap && onSwap(); gl.setRenderTarget(null); - gl.clear(); + gl.autoClear = clearCache; }; -type UpdateRenderTarget = ( - gl: THREE.WebGLRenderer, +export type SingleFBOUpdateFunction = ( + renderProps: RenderProps, /** call before FBO is rendered */ onBeforeRender?: ({ read }: { read: THREE.Texture }) => void ) => THREE.Texture; -type UseSingleFBOReturn = [THREE.WebGLRenderTarget, UpdateRenderTarget]; +type UseSingleFBOReturn = [THREE.WebGLRenderTarget, SingleFBOUpdateFunction]; /** * @param dpr If dpr is set, dpr will be multiplied, default:false - * @param isSizeUpdate Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default:false + * @param fboAutoSetSize Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default:false * @param depthBuffer Unlike the default in three.js, the default is `false`. * @returns [THREE.WebGLRenderTarget , updateFBO] -Receives the RenderTarget as the first argument and the update function as the second argument. */ @@ -63,64 +70,53 @@ export const useSingleFBO = (props: UseFboProps): UseSingleFBOReturn => { camera, size, dpr = false, - isSizeUpdate = false, + fboAutoSetSize = false, depth = false, ...renderTargetOptions } = props; - const renderTarget = useRef<THREE.WebGLRenderTarget>(); - const resolution = useResolution(size, dpr); - renderTarget.current = useMemo( - () => { - const target = new THREE.WebGLRenderTarget( + const [renderTarget] = useState(() => { + const target = new THREE.WebGLRenderTarget(resolution.x, resolution.y, { + ...FBO_DEFAULT_OPTION, + ...renderTargetOptions, + }); + if (depth) { + target.depthTexture = new THREE.DepthTexture( resolution.x, resolution.y, - { - ...FBO_DEFAULT_OPTION, - ...renderTargetOptions, - } + THREE.FloatType ); - if (depth) { - target.depthTexture = new THREE.DepthTexture( - resolution.x, - resolution.y, - THREE.FloatType - ); - } - return target; - }, - // eslint-disable-next-line react-hooks/exhaustive-deps - [] - ); + } + return target; + }); - if (isSizeUpdate) { - renderTarget.current?.setSize(resolution.x, resolution.y); + if (fboAutoSetSize) { + renderTarget.setSize(resolution.x, resolution.y); } useEffect(() => { - const temp = renderTarget.current; + const temp = renderTarget; return () => { temp?.dispose(); }; - }, []); + }, [renderTarget]); - const updateRenderTarget: UpdateRenderTarget = useCallback( - (gl, onBeforeRender) => { - const fbo = renderTarget.current!; + const updateRenderTarget: SingleFBOUpdateFunction = useCallback( + (renderProps, onBeforeRender) => { + const fbo = renderTarget!; renderFBO({ - gl, + ...renderProps, + scene: renderProps.scene || scene, + camera: renderProps.camera || camera, fbo, - scene, - camera, - onBeforeRender: () => - onBeforeRender && onBeforeRender({ read: fbo.texture }), + onBeforeRender: () => onBeforeRender?.({ read: fbo.texture }), }); return fbo.texture; }, - [scene, camera] + [scene, camera, renderTarget] ); - return [renderTarget.current, updateRenderTarget]; + return [renderTarget, updateRenderTarget]; }; diff --git a/packages/use-shader-fx/src/utils/warn.ts b/packages/use-shader-fx/src/utils/warn.ts new file mode 100644 index 00000000..518fb1cc --- /dev/null +++ b/packages/use-shader-fx/src/utils/warn.ts @@ -0,0 +1,7 @@ +import { APP_NAME, ISDEV } from "../libs/constants"; + +export const warn = (text: string) => { + if (ISDEV) { + console.warn(`${APP_NAME}: ${text}`); + } +}; diff --git a/packages/use-shader-fx/types/fxs/3D/types/index.d.ts b/packages/use-shader-fx/types/fxs/3D/types/index.d.ts deleted file mode 100644 index 1af2ca28..00000000 --- a/packages/use-shader-fx/types/fxs/3D/types/index.d.ts +++ /dev/null @@ -1,10 +0,0 @@ -import * as THREE from "three"; -import { HooksProps, MaterialProps } from "../../types"; -export interface HooksProps3D extends HooksProps { - /** For 3D series, you should use the r3f camera as it is as the camera passed to renderTarget. */ - camera: THREE.Camera; -} -export interface Create3DHooksProps extends MaterialProps { - /** You can put the r3f scene in, or if you don't want to add to any scene, you can pass nothing and it will just return the object without putting it in the scene, default : `false` */ - scene?: THREE.Scene | false; -} diff --git a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/index.d.ts b/packages/use-shader-fx/types/fxs/3D/useMorphParticles/index.d.ts deleted file mode 100644 index 00a6fb0b..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/index.d.ts +++ /dev/null @@ -1,66 +0,0 @@ -import * as THREE from "three"; -import { HooksReturn } from "../../types"; -import { UseCreateMorphParticlesProps } from "./useCreateMorphParticles"; -import { HooksProps3D } from "../types"; -import { InteractiveMesh, MorphParticlePoints } from "./utils/useCreateObject"; -import { CustomParams } from "../../../utils/setUniforms"; -export type MorphParticlesParams = { - /** progress value to morph vertices,0~1 */ - morphProgress?: number; - blurAlpha?: number; - blurRadius?: number; - pointSize?: number; - /** default : `1` */ - pointAlpha?: number; - /** Since the color is extracted based on the attribute `uv`, the intended behavior will not occur if there is no uv in the attribute. */ - picture?: THREE.Texture | false; - /** The alpha map is a grayscale texture that controls the opacity across the surface (black: fully transparent; white: fully opaque). use the green channel when sampling this texture. It also affects the size of the point. default : `false` */ - alphaPicture?: THREE.Texture | false; - color0?: THREE.Color; - color1?: THREE.Color; - color2?: THREE.Color; - color3?: THREE.Color; - /** This maps to point,texture */ - map?: THREE.Texture | false; - /** The alpha map is a grayscale texture that controls the opacity across the surface (black: fully transparent; white: fully opaque). use the green channel when sampling this texture. default : `false` */ - alphaMap?: THREE.Texture | false; - /** If ​​wobbleStrength is set to 0, wobble will stop. It will also affect noise calculation, default : `0` */ - wobbleStrength?: number; - wobblePositionFrequency?: number; - wobbleTimeFrequency?: number; - /** default : `0` */ - warpStrength?: number; - warpPositionFrequency?: number; - warpTimeFrequency?: number; - /** Manipulate the vertices using the color channels of this texture. The strength of the displacement changes depending on the g channel of this texture */ - displacement?: THREE.Texture | false; - /** Strength of displacement. The strength of displacement depends on g ch, but is the value multiplied by it , default : `1` */ - displacementIntensity?: number; - /** Strength to reflect color ch of displacement texture */ - displacementColorIntensity?: number; - /** If set to 0, noise calculation stops, default : `0` */ - sizeRandomIntensity?: number; - sizeRandomTimeFrequency?: number; - sizeRandomMin?: number; - sizeRandomMax?: number; - /** Divergence rate of a point. Negative cases are dense, positive cases are divergent, default : `0` */ - divergence?: number; - /** Divergence centre point, default : `THREE.Vector3(0)` */ - divergencePoint?: THREE.Vector3; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; -}; -export type MorphParticlesObject = { - scene: THREE.Scene; - points: MorphParticlePoints; - interactiveMesh: InteractiveMesh; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; - positions: Float32Array[]; - uvs: Float32Array[]; -}; -export declare const MORPHPARTICLES_PARAMS: MorphParticlesParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx - */ -export declare const useMorphParticles: ({ size, dpr, isSizeUpdate, renderTargetOptions, camera, geometry, positions, uvs, onBeforeInit, }: HooksProps3D & UseCreateMorphParticlesProps) => HooksReturn<MorphParticlesParams, MorphParticlesObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/useCreateMorphParticles.d.ts b/packages/use-shader-fx/types/fxs/3D/useMorphParticles/useCreateMorphParticles.d.ts deleted file mode 100644 index 6c36a5da..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/useCreateMorphParticles.d.ts +++ /dev/null @@ -1,29 +0,0 @@ -import * as THREE from "three"; -import { RootState } from "@react-three/fiber"; -import { InteractiveMesh, MorphParticlePoints } from "./utils/useCreateObject"; -import { MorphParticlesParams } from "."; -import { CustomParams } from "../../../utils/setUniforms"; -import { Create3DHooksProps } from "../types"; -import { Dpr, Size } from "../../types"; -export type UseCreateMorphParticlesProps = { - size: Size; - dpr: Dpr; - /** default : `THREE.SphereGeometry(1, 32, 32)` */ - geometry?: THREE.BufferGeometry; - positions?: Float32Array[]; - uvs?: Float32Array[]; - /** Array of textures to map to points. Mapped at random. */ - mapArray?: THREE.Texture[]; -}; -type UpdateUniform = (rootState: RootState | null, newParams?: MorphParticlesParams, customParams?: CustomParams) => void; -type UseCreateMorphParticlesReturn = [ - UpdateUniform, - { - points: MorphParticlePoints; - interactiveMesh: InteractiveMesh; - positions: Float32Array[]; - uvs: Float32Array[]; - } -]; -export declare const useCreateMorphParticles: ({ size, dpr, scene, geometry, positions, uvs, mapArray, onBeforeInit, }: Create3DHooksProps & UseCreateMorphParticlesProps) => UseCreateMorphParticlesReturn; -export {}; diff --git a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/modifyAttributes.d.ts b/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/modifyAttributes.d.ts deleted file mode 100644 index 241902bc..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/modifyAttributes.d.ts +++ /dev/null @@ -1,5 +0,0 @@ -import * as THREE from "three"; -/** - * Calculate the maximum length of attribute (position and uv) to match the length of all lists. Randomly map missing attributes when matching to maximum length - * */ -export declare const modifyAttributes: (attribute: Float32Array[] | undefined, targetGeometry: THREE.BufferGeometry, targetAttibute: "position" | "uv", itemSize: number) => Float32Array[]; diff --git a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/rewriteFragmentShader.d.ts b/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/rewriteFragmentShader.d.ts deleted file mode 100644 index c46d824e..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/rewriteFragmentShader.d.ts +++ /dev/null @@ -1,5 +0,0 @@ -import * as THREE from "three"; -export declare const rewriteFragmentShader: (mapArray: THREE.Texture[] | undefined, fragmentShader: string) => { - rewritedFragmentShader: string; - mapArrayUniforms: any; -}; diff --git a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/rewriteVertexShader.d.ts b/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/rewriteVertexShader.d.ts deleted file mode 100644 index 90866e6c..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/rewriteVertexShader.d.ts +++ /dev/null @@ -1,2 +0,0 @@ -import * as THREE from "three"; -export declare const rewriteVertexShader: (modifeidAttributes: Float32Array[], targetGeometry: THREE.BufferGeometry, targetAttibute: "position" | "uv", vertexShader: string, itemSize: number) => string; diff --git a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/useCreateObject.d.ts b/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/useCreateObject.d.ts deleted file mode 100644 index b3ff18d9..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/useCreateObject.d.ts +++ /dev/null @@ -1,13 +0,0 @@ -import * as THREE from "three"; -type UseCreateObjectProps = { - scene: THREE.Scene | false; - geometry: THREE.BufferGeometry; - material: THREE.ShaderMaterial; -}; -export type MorphParticlePoints = THREE.Points<THREE.BufferGeometry<THREE.NormalBufferAttributes>, THREE.ShaderMaterial>; -export type InteractiveMesh = THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, THREE.ShaderMaterial>; -export declare const useCreateObject: ({ scene, geometry, material, }: UseCreateObjectProps) => { - points: MorphParticlePoints; - interactiveMesh: InteractiveMesh; -}; -export {}; diff --git a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/useMaterial.d.ts b/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/useMaterial.d.ts deleted file mode 100644 index 8f0ec7e1..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useMorphParticles/utils/useMaterial.d.ts +++ /dev/null @@ -1,123 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps, Size } from "../../../types"; -export declare class MorphParticlesMaterial extends THREE.ShaderMaterial { - uniforms: { - uResolution: { - value: THREE.Vector2; - }; - uMorphProgress: { - value: number; - }; - uBlurAlpha: { - value: number; - }; - uBlurRadius: { - value: number; - }; - uPointSize: { - value: number; - }; - uPointAlpha: { - value: number; - }; - uPicture: { - value: THREE.Texture; - }; - uIsPicture: { - value: boolean; - }; - uAlphaPicture: { - value: THREE.Texture; - }; - uIsAlphaPicture: { - value: boolean; - }; - uColor0: { - value: THREE.Color; - }; - uColor1: { - value: THREE.Color; - }; - uColor2: { - value: THREE.Color; - }; - uColor3: { - value: THREE.Color; - }; - uMap: { - value: THREE.Texture; - }; - uIsMap: { - value: boolean; - }; - uAlphaMap: { - value: THREE.Texture; - }; - uIsAlphaMap: { - value: boolean; - }; - uTime: { - value: number; - }; - uWobblePositionFrequency: { - value: number; - }; - uWobbleTimeFrequency: { - value: number; - }; - uWobbleStrength: { - value: number; - }; - uWarpPositionFrequency: { - value: number; - }; - uWarpTimeFrequency: { - value: number; - }; - uWarpStrength: { - value: number; - }; - uDisplacement: { - value: THREE.Texture; - }; - uIsDisplacement: { - value: boolean; - }; - uDisplacementIntensity: { - value: number; - }; - uDisplacementColorIntensity: { - value: number; - }; - uSizeRandomIntensity: { - value: number; - }; - uSizeRandomTimeFrequency: { - value: number; - }; - uSizeRandomMin: { - value: number; - }; - uSizeRandomMax: { - value: number; - }; - uDivergence: { - value: number; - }; - uDivergencePoint: { - value: THREE.Vector3; - }; - }; -} -export declare const useMaterial: ({ size, dpr, geometry, positions, uvs, mapArray, onBeforeInit, }: { - size: Size; - dpr: number | false; - geometry: THREE.BufferGeometry; - positions?: Float32Array[] | undefined; - uvs?: Float32Array[] | undefined; - mapArray?: THREE.Texture[] | undefined; -} & MaterialProps) => { - material: MorphParticlesMaterial; - modifiedPositions: Float32Array[]; - modifiedUvs: Float32Array[]; -}; diff --git a/packages/use-shader-fx/types/fxs/3D/useWobble3D/index.d.ts b/packages/use-shader-fx/types/fxs/3D/useWobble3D/index.d.ts deleted file mode 100644 index f14e080e..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useWobble3D/index.d.ts +++ /dev/null @@ -1,56 +0,0 @@ -import * as THREE from "three"; -import { HooksReturn } from "../../types"; -import { UseCreateWobble3DProps } from "./useCreateWobble3D"; -import { WobbleMaterialProps, WobbleMaterialConstructor } from "./useMaterial"; -import { HooksProps3D } from "../types"; -import { CustomParams } from "../../../utils/setUniforms"; -export type Wobble3DParams = { - /** default : `0.3` */ - wobbleStrength?: number; - /** default : `0.3` */ - wobblePositionFrequency?: number; - /** default : `0.3` */ - wobbleTimeFrequency?: number; - /** default : `0.3` */ - warpStrength?: number; - /** default : `0.3` */ - warpPositionFrequency?: number; - /** default : `0.3` */ - warpTimeFrequency?: number; - color0?: THREE.Color; - color1?: THREE.Color; - color2?: THREE.Color; - color3?: THREE.Color; - /** Mixing ratio with the material's original output color, 0~1 , defaulat : `1` */ - colorMix?: number; - /** Threshold of edge. 0 for edge disabled, default : `0` */ - edgeThreshold?: number; - /** Color of edge. default : `0x000000` */ - edgeColor?: THREE.Color; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */ - chromaticAberration?: number; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */ - anisotropicBlur?: number; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.0` */ - distortion?: number; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.1` */ - distortionScale?: number; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `0.0` */ - temporalDistortion?: number; - /** valid only for `MeshPhysicalMaterial` && `isCustomTransmission:true` , default : `6` */ - refractionSamples?: number; -}; -export type Wobble3DObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - depthMaterial: THREE.MeshDepthMaterial | null; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const WOBBLE3D_PARAMS: Wobble3DParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx - */ -export declare const useWobble3D: <T extends WobbleMaterialConstructor>({ size, dpr, renderTargetOptions, isSizeUpdate, camera, geometry, baseMaterial, materialParameters, isCustomTransmission, onBeforeInit, depthOnBeforeInit, depth, }: HooksProps3D & UseCreateWobble3DProps & WobbleMaterialProps<T>) => HooksReturn<Wobble3DParams, Wobble3DObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/3D/useWobble3D/useCreateWobble3D.d.ts b/packages/use-shader-fx/types/fxs/3D/useWobble3D/useCreateWobble3D.d.ts deleted file mode 100644 index 193a4117..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useWobble3D/useCreateWobble3D.d.ts +++ /dev/null @@ -1,20 +0,0 @@ -import * as THREE from "three"; -import { RootState } from "@react-three/fiber"; -import { WobbleMaterialProps, WobbleMaterialConstructor } from "./useMaterial"; -import { Wobble3DParams } from "."; -import { CustomParams } from "../../../utils/setUniforms"; -import { Create3DHooksProps } from "../types"; -export type UseCreateWobble3DProps = { - /** default : `THREE.IcosahedronGeometry(2,20)` */ - geometry?: THREE.BufferGeometry; -}; -type UpdateUniform = (rootState: RootState | null, newParams?: Wobble3DParams, customParams?: CustomParams) => void; -type UseCreateWobble3DReturn<T> = [ - UpdateUniform, - { - mesh: THREE.Mesh; - depthMaterial: THREE.MeshDepthMaterial | null; - } -]; -export declare const useCreateWobble3D: <T extends WobbleMaterialConstructor>({ scene, geometry, isCustomTransmission, baseMaterial, materialParameters, depth, onBeforeInit, depthOnBeforeInit, }: UseCreateWobble3DProps & Create3DHooksProps & WobbleMaterialProps<T>) => UseCreateWobble3DReturn<T>; -export {}; diff --git a/packages/use-shader-fx/types/fxs/3D/useWobble3D/useMaterial.d.ts b/packages/use-shader-fx/types/fxs/3D/useWobble3D/useMaterial.d.ts deleted file mode 100644 index e5c91386..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useWobble3D/useMaterial.d.ts +++ /dev/null @@ -1,88 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps, OnBeforeInitParameters } from "../../types"; -export declare class Wobble3DMaterial extends THREE.Material { - uniforms: { - uTime: { - value: number; - }; - uWobblePositionFrequency: { - value: number; - }; - uWobbleTimeFrequency: { - value: number; - }; - uWobbleStrength: { - value: number; - }; - uWarpPositionFrequency: { - value: number; - }; - uWarpTimeFrequency: { - value: number; - }; - uWarpStrength: { - value: number; - }; - uColor0: { - value: THREE.Color; - }; - uColor1: { - value: THREE.Color; - }; - uColor2: { - value: THREE.Color; - }; - uColor3: { - value: THREE.Color; - }; - uColorMix: { - value: number; - }; - uEdgeThreshold: { - value: number; - }; - uEdgeColor: { - value: THREE.Color; - }; - uChromaticAberration: { - value: number; - }; - uAnisotropicBlur: { - value: number; - }; - uDistortion: { - value: number; - }; - uDistortionScale: { - value: number; - }; - uTemporalDistortion: { - value: number; - }; - uRefractionSamples: { - value: number; - }; - }; -} -export type WobbleMaterialConstructor = new (opts: { - [key: string]: any; -}) => THREE.Material; -type WobbleMaterialParams<T extends WobbleMaterialConstructor> = ConstructorParameters<T>[0]; -export interface WobbleMaterialProps<T extends WobbleMaterialConstructor> extends MaterialProps { - /** default:THREE.MeshPhysicalMaterial */ - baseMaterial?: T; - materialParameters?: WobbleMaterialParams<T>; - depthOnBeforeInit?: (parameters: OnBeforeInitParameters) => void; - /** - * Whether to apply more advanced `transmission` or not. valid only for `MeshPhysicalMaterial`. This is a function referring to `drei/MeshTransmissionMaterial`, default : `false` - * @link https://github.com/pmndrs/drei?tab=readme-ov-file#meshtransmissionmaterial - * */ - isCustomTransmission?: boolean; - /** Whether to initialise `MeshDepthMaterial` or not , default : `false` */ - depth?: boolean; -} -export declare const useMaterial: <T extends WobbleMaterialConstructor>({ baseMaterial, materialParameters, isCustomTransmission, onBeforeInit, depthOnBeforeInit, depth, }: WobbleMaterialProps<T>) => { - material: Wobble3DMaterial; - depthMaterial: THREE.MeshDepthMaterial | null; -}; -export {}; diff --git a/packages/use-shader-fx/types/fxs/3D/useWobble3D/utils/resolveEachMaterial.d.ts b/packages/use-shader-fx/types/fxs/3D/useWobble3D/utils/resolveEachMaterial.d.ts deleted file mode 100644 index 9e4975f1..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useWobble3D/utils/resolveEachMaterial.d.ts +++ /dev/null @@ -1,6 +0,0 @@ -import * as THREE from "three"; -export declare const resolveEachMaterial: ({ mat, isCustomTransmission, parameters, }: { - mat: THREE.Material; - isCustomTransmission: boolean; - parameters: THREE.WebGLProgramParametersWithUniforms; -}) => void; diff --git a/packages/use-shader-fx/types/fxs/3D/useWobble3D/utils/rewriteFragmentShader.d.ts b/packages/use-shader-fx/types/fxs/3D/useWobble3D/utils/rewriteFragmentShader.d.ts deleted file mode 100644 index 0d5994e6..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useWobble3D/utils/rewriteFragmentShader.d.ts +++ /dev/null @@ -1,2 +0,0 @@ -import * as THREE from "three"; -export declare const rewriteFragmentShader: (parameters: THREE.WebGLProgramParametersWithUniforms) => void; diff --git a/packages/use-shader-fx/types/fxs/3D/useWobble3D/utils/rewriteVertexShader.d.ts b/packages/use-shader-fx/types/fxs/3D/useWobble3D/utils/rewriteVertexShader.d.ts deleted file mode 100644 index 5292a364..00000000 --- a/packages/use-shader-fx/types/fxs/3D/useWobble3D/utils/rewriteVertexShader.d.ts +++ /dev/null @@ -1,2 +0,0 @@ -import * as THREE from "three"; -export declare const rewriteVertexShader: (parameters: THREE.WebGLProgramParametersWithUniforms) => void; diff --git a/packages/use-shader-fx/types/fxs/blank/useBlank/index.d.ts b/packages/use-shader-fx/types/fxs/blank/useBlank/index.d.ts deleted file mode 100644 index 82f30972..00000000 --- a/packages/use-shader-fx/types/fxs/blank/useBlank/index.d.ts +++ /dev/null @@ -1,30 +0,0 @@ -import * as THREE from "three"; -import { BlankMaterial } from "./useMesh"; -import { DoubleRenderTarget } from "../../../utils/useDoubleFBO"; -import { CustomParams } from "../../../utils/setUniforms"; -import type { HooksProps, HooksReturn } from "../../types"; -export type BlankParams = { - /** texture, default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; -}; -export type BlankObject = { - scene: THREE.Scene; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, BlankMaterial>; - material: BlankMaterial; - camera: THREE.Camera; - renderTarget: DoubleRenderTarget; - output: THREE.Texture; -}; -export declare const BLANK_PARAMS: BlankParams; -/** - * By default, it is a blank canvas with nothing drawn on it. You can customise the shaders using `onBeforeCompile`. - * Fragment shaders have `uTexture`,`uBackbuffer`,`uTime`,`uPointer` and `uResolution` as default uniforms. - * - * ※ `usf_FragColor` overrides `gl_FragColor` - * - * ※ `usf_Position` overrides `gl_Position` - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useBlank: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<BlankParams, BlankObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/blank/useBlank/useMesh.d.ts b/packages/use-shader-fx/types/fxs/blank/useBlank/useMesh.d.ts deleted file mode 100644 index c155da6e..00000000 --- a/packages/use-shader-fx/types/fxs/blank/useBlank/useMesh.d.ts +++ /dev/null @@ -1,29 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps, Size } from "../../types"; -export declare class BlankMaterial extends THREE.ShaderMaterial { - uniforms: { - uTexture: { - value: THREE.Texture; - }; - uBackbuffer: { - value: THREE.Texture; - }; - uTime: { - value: number; - }; - uPointer: { - value: THREE.Vector2; - }; - uResolution: { - value: THREE.Vector2; - }; - }; -} -export declare const useMesh: ({ scene, size, dpr, onBeforeInit, }: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - material: BlankMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, BlankMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/blank/useRawBlank/index.d.ts b/packages/use-shader-fx/types/fxs/blank/useRawBlank/index.d.ts deleted file mode 100644 index dba38ea9..00000000 --- a/packages/use-shader-fx/types/fxs/blank/useRawBlank/index.d.ts +++ /dev/null @@ -1,37 +0,0 @@ -import * as THREE from "three"; -import { RawBlankMaterial } from "./useMesh"; -import { CustomParams } from "../../../utils/setUniforms"; -import type { HooksProps, HooksReturn } from "../../types"; -export type RawBlankParams = {}; -export type RawBlankObject = { - scene: THREE.Scene; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, RawBlankMaterial>; - material: RawBlankMaterial; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const RAWBLANK_PARAMS: RawBlankParams; -/** - * By default, it is a blank canvas with nothing drawn on it. You can customise the shaders using `onBeforeCompile`. - * Fragment shaders have `uResolution` as default uniforms. - * - * ※ `usf_FragColor` overrides `gl_FragColor` - * - * ※ `usf_Position` overrides `gl_Position` - * - * `RawBlankParams` is an empty object. so you can't pass any parameters to second argument. Nothing will happen if you pass them. - * ```tsx - * useFrame((state) => { - update( - state, - {}, - { - uTime: state.clock.getElapsedTime(), - } - ); - }); - * ``` - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useRawBlank: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<RawBlankParams, RawBlankObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/blank/useRawBlank/useMesh.d.ts b/packages/use-shader-fx/types/fxs/blank/useRawBlank/useMesh.d.ts deleted file mode 100644 index 7cb21f71..00000000 --- a/packages/use-shader-fx/types/fxs/blank/useRawBlank/useMesh.d.ts +++ /dev/null @@ -1,17 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps, Size } from "../../types"; -export declare class RawBlankMaterial extends THREE.ShaderMaterial { - uniforms: { - uResolution: { - value: THREE.Vector2; - }; - }; -} -export declare const useMesh: ({ scene, size, dpr, onBeforeInit, }: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - material: RawBlankMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, RawBlankMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/effects/useMotionBlur/index.d.ts b/packages/use-shader-fx/types/fxs/effects/useMotionBlur/index.d.ts deleted file mode 100644 index f23e6f3e..00000000 --- a/packages/use-shader-fx/types/fxs/effects/useMotionBlur/index.d.ts +++ /dev/null @@ -1,27 +0,0 @@ -import * as THREE from "three"; -import { DoubleRenderTarget } from "../../../utils/useDoubleFBO"; -import { CustomParams } from "../../../utils/setUniforms"; -import type { HooksProps, HooksReturn } from "../../types"; -export type MotionBlurParams = { - /** Make this texture blur, default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** motion begin, default : `THREE.Vector2(0, 0)` */ - begin?: THREE.Vector2; - /** motion end, default : `THREE.Vector2(0, 0)` */ - end?: THREE.Vector2; - /** motion strength, default : `0.9` */ - strength?: number; -}; -export type MotionBlurObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: DoubleRenderTarget; - output: THREE.Texture; -}; -export declare const MOTIONBLUR_PARAMS: MotionBlurParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useMotionBlur: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<MotionBlurParams, MotionBlurObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/effects/useMotionBlur/useMesh.d.ts b/packages/use-shader-fx/types/fxs/effects/useMotionBlur/useMesh.d.ts deleted file mode 100644 index 03518e41..00000000 --- a/packages/use-shader-fx/types/fxs/effects/useMotionBlur/useMesh.d.ts +++ /dev/null @@ -1,27 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -export declare class MotionBlurMaterial extends THREE.ShaderMaterial { - uniforms: { - uTexture: { - value: THREE.Texture; - }; - uBackbuffer: { - value: THREE.Texture; - }; - uBegin: { - value: THREE.Vector2; - }; - uEnd: { - value: THREE.Vector2; - }; - uStrength: { - value: number; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; -} & MaterialProps) => { - material: MotionBlurMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, MotionBlurMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/effects/useSimpleBlur/index.d.ts b/packages/use-shader-fx/types/fxs/effects/useSimpleBlur/index.d.ts deleted file mode 100644 index 4e495940..00000000 --- a/packages/use-shader-fx/types/fxs/effects/useSimpleBlur/index.d.ts +++ /dev/null @@ -1,25 +0,0 @@ -import * as THREE from "three"; -import { DoubleRenderTarget } from "../../../utils/useDoubleFBO"; -import { CustomParams } from "../../../utils/setUniforms"; -import type { HooksProps, HooksReturn } from "../../types"; -export type SimpleBlurParams = { - /** Make this texture blur , default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** blurSize, default : `3` */ - blurSize?: number; - /** blurPower, affects performance default : `5` */ - blurPower?: number; -}; -export type SimpleBlurObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: DoubleRenderTarget; - output: THREE.Texture; -}; -export declare const SIMPLEBLUR_PARAMS: SimpleBlurParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useSimpleBlur: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<SimpleBlurParams, SimpleBlurObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/effects/useSimpleBlur/useMesh.d.ts b/packages/use-shader-fx/types/fxs/effects/useSimpleBlur/useMesh.d.ts deleted file mode 100644 index 0c56bfc7..00000000 --- a/packages/use-shader-fx/types/fxs/effects/useSimpleBlur/useMesh.d.ts +++ /dev/null @@ -1,21 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -export declare class SampleMaterial extends THREE.ShaderMaterial { - uniforms: { - uTexture: { - value: THREE.Texture; - }; - uResolution: { - value: THREE.Vector2; - }; - uBlurSize: { - value: number; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; -} & MaterialProps) => { - material: SampleMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, SampleMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/effects/useWave/index.d.ts b/packages/use-shader-fx/types/fxs/effects/useWave/index.d.ts deleted file mode 100644 index c4321d0d..00000000 --- a/packages/use-shader-fx/types/fxs/effects/useWave/index.d.ts +++ /dev/null @@ -1,28 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type WaveParams = { - /** -1.0 ~ 1.0 , default : `vec2(0.0,0.0)` */ - epicenter?: THREE.Vector2; - /** 0.0 ~ 1.0 , default : `0.0` */ - progress?: number; - /** default : `0.0` */ - width?: number; - /** default : `0.0` */ - strength?: number; - /** default : `center` */ - mode?: "center" | "horizontal" | "vertical"; -}; -export type WaveObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const WAVE_PARAMS: WaveParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx - */ -export declare const useWave: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<WaveParams, WaveObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/effects/useWave/useMesh.d.ts b/packages/use-shader-fx/types/fxs/effects/useWave/useMesh.d.ts deleted file mode 100644 index f0852d01..00000000 --- a/packages/use-shader-fx/types/fxs/effects/useWave/useMesh.d.ts +++ /dev/null @@ -1,27 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -export declare class WaveMaterial extends THREE.ShaderMaterial { - uniforms: { - uEpicenter: { - value: THREE.Vector2; - }; - uProgress: { - value: number; - }; - uStrength: { - value: number; - }; - uWidth: { - value: number; - }; - uMode: { - value: number; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; -} & MaterialProps) => { - material: WaveMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, WaveMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/interactions/useBrush/index.d.ts b/packages/use-shader-fx/types/fxs/interactions/useBrush/index.d.ts deleted file mode 100644 index 2f5e7c6f..00000000 --- a/packages/use-shader-fx/types/fxs/interactions/useBrush/index.d.ts +++ /dev/null @@ -1,44 +0,0 @@ -import * as THREE from "three"; -import { PointerValues } from "../../../misc/usePointer"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -import { DoubleRenderTarget } from "../../../utils/useDoubleFBO"; -export type BrushParams = { - /** Texture applied to the brush, If texture is true, it will take precedence over color , default : `false` */ - texture?: THREE.Texture | false; - /** You can attach an fx map , default : `false` */ - map?: THREE.Texture | false; - /** map intensity , default : `0.1` */ - mapIntensity?: number; - /** size of the stamp, percentage of the size ,default : `0.05` */ - radius?: number; - /** Strength of smudge effect , default : `0.0`*/ - smudge?: number; - /** dissipation rate. If set to 1, it will remain. , default : `1.0` */ - dissipation?: number; - /** Strength of motion blur , default : `0.0` */ - motionBlur?: number; - /** Number of motion blur samples. Affects performance default : `5` */ - motionSample?: number; - /** brush color , it accepts a function that returns THREE.Vector3.The function takes velocity:THREE.Vector2 as an argument. , default : `THREE.Vector3(1.0, 1.0, 1.0)` */ - color?: ((velocity: THREE.Vector2) => THREE.Vector3) | THREE.Vector3 | THREE.Color; - /** Follows the cursor even if it loses speed , default : `false` */ - isCursor?: boolean; - /** brush pressure (0 to 1) , default : `1.0` */ - pressure?: number; - /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */ - pointerValues?: PointerValues | false; -}; -export type BrushObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: DoubleRenderTarget; - output: THREE.Texture; -}; -export declare const BRUSH_PARAMS: BrushParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useBrush: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<BrushParams, BrushObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/interactions/useBrush/useMesh.d.ts b/packages/use-shader-fx/types/fxs/interactions/useBrush/useMesh.d.ts deleted file mode 100644 index c7bec4a8..00000000 --- a/packages/use-shader-fx/types/fxs/interactions/useBrush/useMesh.d.ts +++ /dev/null @@ -1,71 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps, Size } from "../../types"; -export declare class BrushMaterial extends THREE.ShaderMaterial { - uniforms: { - uBuffer: { - value: THREE.Texture; - }; - uTexture: { - value: THREE.Texture; - }; - uIsTexture: { - value: boolean; - }; - uMap: { - value: THREE.Texture; - }; - uIsMap: { - value: boolean; - }; - uMapIntensity: { - value: number; - }; - uResolution: { - value: THREE.Vector2; - }; - uRadius: { - value: number; - }; - uSmudge: { - value: number; - }; - uDissipation: { - value: number; - }; - uMotionBlur: { - value: number; - }; - uMotionSample: { - value: number; - }; - uMouse: { - value: number; - }; - uPrevMouse: { - value: number; - }; - uVelocity: { - value: number; - }; - uColor: { - value: THREE.Vector3 | THREE.Color; - }; - uIsCursor: { - value: boolean; - }; - uPressureStart: { - value: number; - }; - uPressureEnd: { - value: number; - }; - }; -} -export declare const useMesh: ({ scene, size, dpr, onBeforeInit, }: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - material: BrushMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, BrushMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/misc/useChromaKey/index.d.ts b/packages/use-shader-fx/types/fxs/misc/useChromaKey/index.d.ts deleted file mode 100644 index d495d93b..00000000 --- a/packages/use-shader-fx/types/fxs/misc/useChromaKey/index.d.ts +++ /dev/null @@ -1,36 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type ChromaKeyParams = { - /** Process this texture with chroma key , default : `THREE.Texture` */ - texture?: THREE.Texture; - /** key color for chromakey processing , default: `THREE.Color(0x00ff00)` */ - keyColor?: THREE.Color; - /** If the similarity with the key color exceeds this value, it becomes transparent. , default : `0.2` */ - similarity?: number; - /** smoothness , default : `0.1` */ - smoothness?: number; - /** spill , default : `0.2` */ - spill?: number; - /** tone correction , default : `THREE.Vector4(1.0, 1.0, 1.0, 1.0)` */ - color?: THREE.Vector4; - /** contrast , default : `1.0` */ - contrast?: number; - /** brightness , default : `0.0` */ - brightness?: number; - /** gamma correction , default : `1.0` */ - gamma?: number; -}; -export type ChromaKeyObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const CHROMAKEY_PARAMS: ChromaKeyParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useChromaKey: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<ChromaKeyParams, ChromaKeyObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/misc/useChromaKey/useMesh.d.ts b/packages/use-shader-fx/types/fxs/misc/useChromaKey/useMesh.d.ts deleted file mode 100644 index 5db856df..00000000 --- a/packages/use-shader-fx/types/fxs/misc/useChromaKey/useMesh.d.ts +++ /dev/null @@ -1,44 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps, Size } from "../../types"; -export declare class ChromaKeyMaterial extends THREE.ShaderMaterial { - uniforms: { - u_texture: { - value: THREE.Texture; - }; - u_resolution: { - value: THREE.Vector2; - }; - u_keyColor: { - value: THREE.Color; - }; - u_similarity: { - value: number; - }; - u_smoothness: { - value: number; - }; - u_spill: { - value: number; - }; - u_color: { - value: THREE.Vector4; - }; - u_contrast: { - value: number; - }; - u_brightness: { - value: number; - }; - u_gamma: { - value: number; - }; - }; -} -export declare const useMesh: ({ scene, size, dpr, onBeforeInit, }: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - material: ChromaKeyMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, ChromaKeyMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/noises/useColorStrata/index.d.ts b/packages/use-shader-fx/types/fxs/noises/useColorStrata/index.d.ts deleted file mode 100644 index c3697d6c..00000000 --- a/packages/use-shader-fx/types/fxs/noises/useColorStrata/index.d.ts +++ /dev/null @@ -1,40 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type ColorStrataParams = { - /** default : `null` */ - texture?: THREE.Texture | false; - /** Valid when texture is false. default : `1` */ - scale?: number; - /** default : `1.0` */ - laminateLayer?: number; - /** default : `(0.1, 0.1)` */ - laminateInterval?: THREE.Vector2; - /** default : `(1.0, 1.0)` */ - laminateDetail?: THREE.Vector2; - /** default : `(0.0, 0.0)` */ - distortion?: THREE.Vector2; - /** default : `(1.0, 1.0, 1.0)` */ - colorFactor?: THREE.Vector3; - /** default : `(0.0, 0.0)` */ - timeStrength?: THREE.Vector2; - /** default : `false` */ - noise?: THREE.Texture | false; - /** default : `(0.0,0.0)` */ - noiseStrength?: THREE.Vector2; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; -}; -export type ColorStrataObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const COLORSTRATA_PARAMS: ColorStrataParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useColorStrata: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<ColorStrataParams, ColorStrataObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/noises/useColorStrata/useMesh.d.ts b/packages/use-shader-fx/types/fxs/noises/useColorStrata/useMesh.d.ts deleted file mode 100644 index c37211b1..00000000 --- a/packages/use-shader-fx/types/fxs/noises/useColorStrata/useMesh.d.ts +++ /dev/null @@ -1,51 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -export declare class ColorStrataMaterial extends THREE.ShaderMaterial { - uniforms: { - uTexture: { - value: THREE.Texture; - }; - isTexture: { - value: boolean; - }; - scale: { - value: number; - }; - noise: { - value: THREE.Texture; - }; - noiseStrength: { - value: THREE.Vector2; - }; - isNoise: { - value: boolean; - }; - laminateLayer: { - value: number; - }; - laminateInterval: { - value: THREE.Vector2; - }; - laminateDetail: { - value: THREE.Vector2; - }; - distortion: { - value: THREE.Vector2; - }; - colorFactor: { - value: THREE.Vector3; - }; - uTime: { - value: number; - }; - timeStrength: { - value: THREE.Vector2; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; -} & MaterialProps) => { - material: ColorStrataMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, ColorStrataMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/noises/useCosPalette/index.d.ts b/packages/use-shader-fx/types/fxs/noises/useCosPalette/index.d.ts deleted file mode 100644 index cccbfeb3..00000000 --- a/packages/use-shader-fx/types/fxs/noises/useCosPalette/index.d.ts +++ /dev/null @@ -1,30 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type CosPaletteParams = { - /** color1, default : `rgb(50%, 50%, 50%)` */ - color1?: THREE.Color; - /** color2, default : `rgb(50%, 50%, 50%)` */ - color2?: THREE.Color; - /** color3, default : `rgb(100%, 100%, 100%)` */ - color3?: THREE.Color; - /** color4, default : `rgb(0%, 10%, 20%)` */ - color4?: THREE.Color; - /** texture to be used as a palette */ - texture?: THREE.Texture; - /** weight of the rgb, default : `THREE.Vector3(1.0,0.0,0.0)` */ - rgbWeight?: THREE.Vector3; -}; -export type ColorPaletteObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const COSPALETTE_PARAMS: CosPaletteParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useCosPalette: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<CosPaletteParams, ColorPaletteObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/noises/useCosPalette/useMesh.d.ts b/packages/use-shader-fx/types/fxs/noises/useCosPalette/useMesh.d.ts deleted file mode 100644 index 9d4f03f8..00000000 --- a/packages/use-shader-fx/types/fxs/noises/useCosPalette/useMesh.d.ts +++ /dev/null @@ -1,30 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -export declare class CosPaletteMaterial extends THREE.ShaderMaterial { - uniforms: { - uTexture: { - value: THREE.Texture; - }; - uRgbWeight: { - value: THREE.Vector3; - }; - uColor1: { - value: THREE.Color; - }; - uColor2: { - value: THREE.Color; - }; - uColor3: { - value: THREE.Color; - }; - uColor4: { - value: THREE.Color; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; -} & MaterialProps) => { - material: CosPaletteMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, CosPaletteMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/noises/useMarble/index.d.ts b/packages/use-shader-fx/types/fxs/noises/useMarble/index.d.ts deleted file mode 100644 index 5516e108..00000000 --- a/packages/use-shader-fx/types/fxs/noises/useMarble/index.d.ts +++ /dev/null @@ -1,32 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type MarbleParams = { - /** You can add random patterns to noise by passing random numbers ,default : `0` */ - pattern?: number; - /** default : `2` */ - complexity?: number; - /** default : `0.2` */ - complexityAttenuation?: number; - /** default : `8` */ - iterations?: number; - /** default : `0.2` */ - timeStrength?: number; - /** default : `0.002` */ - scale?: number; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; -}; -export type MarbleObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const MARBLE_PARAMS: MarbleParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useMarble: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<MarbleParams, MarbleObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/noises/useMarble/useMesh.d.ts b/packages/use-shader-fx/types/fxs/noises/useMarble/useMesh.d.ts deleted file mode 100644 index c0ef7e18..00000000 --- a/packages/use-shader-fx/types/fxs/noises/useMarble/useMesh.d.ts +++ /dev/null @@ -1,33 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -export declare class MarbleMaterial extends THREE.ShaderMaterial { - uniforms: { - u_time: { - value: number; - }; - u_pattern: { - value: number; - }; - u_complexity: { - value: number; - }; - u_complexityAttenuation: { - value: number; - }; - u_iterations: { - value: number; - }; - u_timeStrength: { - value: number; - }; - u_scale: { - value: number; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; -} & MaterialProps) => { - material: MarbleMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, MarbleMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/noises/useNoise/index.d.ts b/packages/use-shader-fx/types/fxs/noises/useNoise/index.d.ts deleted file mode 100644 index d0075a61..00000000 --- a/packages/use-shader-fx/types/fxs/noises/useNoise/index.d.ts +++ /dev/null @@ -1,36 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type NoiseParams = { - /** noise scale , default : `0.004` */ - scale?: number; - /** time factor default : `0.3` */ - timeStrength?: number; - /** noiseOctaves, affects performance default : `2` */ - noiseOctaves?: number; - /** fbmOctaves, affects performance default : `2` */ - fbmOctaves?: number; - /** domain warping octaves , affects performance default : `2` */ - warpOctaves?: number; - /** direction of domain warping , default : `(2.0,2,0)` */ - warpDirection?: THREE.Vector2; - /** strength of domain warping , default : `8.0` */ - warpStrength?: number; - /** you can get into the rhythm ♪ , default : `false` */ - beat?: number | false; -}; -export type NoiseObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const NOISE_PARAMS: NoiseParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - * - * It is a basic value noise with `fbm` and `domain warping` - */ -export declare const useNoise: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<NoiseParams, NoiseObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/noises/useNoise/useMesh.d.ts b/packages/use-shader-fx/types/fxs/noises/useNoise/useMesh.d.ts deleted file mode 100644 index 4ec1ff06..00000000 --- a/packages/use-shader-fx/types/fxs/noises/useNoise/useMesh.d.ts +++ /dev/null @@ -1,36 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -export declare class NoiseMaterial extends THREE.ShaderMaterial { - uniforms: { - uTime: { - value: number; - }; - scale: { - value: number; - }; - timeStrength: { - value: number; - }; - noiseOctaves: { - value: number; - }; - fbmOctaves: { - value: number; - }; - warpOctaves: { - value: number; - }; - warpDirection: { - value: THREE.Vector2; - }; - warpStrength: { - value: number; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; -} & MaterialProps) => { - material: NoiseMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, NoiseMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/simulations/useFluid/index.d.ts b/packages/use-shader-fx/types/fxs/simulations/useFluid/index.d.ts deleted file mode 100644 index ad0696cb..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useFluid/index.d.ts +++ /dev/null @@ -1,56 +0,0 @@ -import * as THREE from "three"; -import { FluidMaterials, CustomFluidProps, CustomFluidParams } from "./useMesh"; -import { PointerValues } from "../../../misc/usePointer"; -import { HooksProps, HooksReturn } from "../../types"; -import { DoubleRenderTarget } from "../../../utils/useDoubleFBO"; -export declare const DELTA_TIME = 0.016; -export type FluidParams = { - /** density disspation , default : `0.98` */ - densityDissipation?: number; - /** velocity dissipation , default : `0.99` */ - velocityDissipation?: number; - /** velocity acceleration , default : `10.0` */ - velocityAcceleration?: number; - /** pressure dissipation , default : `0.9` */ - pressureDissipation?: number; - /** pressure iterations. affects performance , default : `20` */ - pressureIterations?: number; - /** curl_strength , default : `35` */ - curlStrength?: number; - /** splat radius , default : `0.002` */ - splatRadius?: number; - /** Fluid Color.THREE.Vector3 Alternatively, it accepts a function that returns THREE.Vector3.The function takes velocity:THREE.Vector2 as an argument. , default : `THREE.Vector3(1.0, 1.0, 1.0)` */ - fluidColor?: ((velocity: THREE.Vector2) => THREE.Vector3) | THREE.Vector3 | THREE.Color; - /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */ - pointerValues?: PointerValues | false; -}; -export type FluidObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - materials: FluidMaterials; - camera: THREE.Camera; - renderTarget: { - velocity: DoubleRenderTarget; - density: DoubleRenderTarget; - curl: THREE.WebGLRenderTarget; - divergence: THREE.WebGLRenderTarget; - pressure: DoubleRenderTarget; - }; - output: THREE.Texture; -}; -export declare const FLUID_PARAMS: FluidParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useFluid: ({ size, dpr, renderTargetOptions, isSizeUpdate, customFluidProps, }: { - /** you can add `onBeforeInit` of the next material.`initial`,`curl`,`vorticity`,`advection`,`divergence`,`pressure`,`clear`,`gradientSubtract`,`splat` - * ```ts - * customFluidProps: { - vorticity: { - onBeforeInit: (parameters) => console.log(parameters), - }, - }, - * ``` - */ - customFluidProps?: CustomFluidProps | undefined; -} & HooksProps) => HooksReturn<FluidParams, FluidObject, CustomFluidParams>; diff --git a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useAdvectionMaterial.d.ts b/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useAdvectionMaterial.d.ts deleted file mode 100644 index 4063a869..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useAdvectionMaterial.d.ts +++ /dev/null @@ -1,22 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../../types"; -export declare class AdvectionMaterial extends THREE.ShaderMaterial { - uniforms: { - uVelocity: { - value: THREE.Texture; - }; - uSource: { - value: THREE.Texture; - }; - texelSize: { - value: THREE.Vector2; - }; - dt: { - value: number; - }; - dissipation: { - value: number; - }; - }; -} -export declare const useAdvectionMaterial: ({ onBeforeInit }: MaterialProps) => AdvectionMaterial; diff --git a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useClearMaterial.d.ts b/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useClearMaterial.d.ts deleted file mode 100644 index 33100e41..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useClearMaterial.d.ts +++ /dev/null @@ -1,16 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../../types"; -export declare class ClearMaterial extends THREE.ShaderMaterial { - uniforms: { - uTexture: { - value: THREE.Texture; - }; - value: { - value: number; - }; - texelSize: { - value: THREE.Vector2; - }; - }; -} -export declare const useClearMaterial: ({ onBeforeInit }: MaterialProps) => ClearMaterial; diff --git a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useCurlMaterial.d.ts b/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useCurlMaterial.d.ts deleted file mode 100644 index bface9d9..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useCurlMaterial.d.ts +++ /dev/null @@ -1,13 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../../types"; -export declare class CurlMaterial extends THREE.ShaderMaterial { - uniforms: { - uVelocity: { - value: THREE.Texture; - }; - texelSize: { - value: THREE.Vector2; - }; - }; -} -export declare const useCurlMaterial: ({ onBeforeInit }: MaterialProps) => CurlMaterial; diff --git a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useDivergenceMaterial.d.ts b/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useDivergenceMaterial.d.ts deleted file mode 100644 index 87fc99a0..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useDivergenceMaterial.d.ts +++ /dev/null @@ -1,13 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../../types"; -export declare class DivergenceMaterial extends THREE.ShaderMaterial { - uniforms: { - uVelocity: { - value: THREE.Texture; - }; - texelSize: { - value: THREE.Vector2; - }; - }; -} -export declare const useDivergenceMaterial: ({ onBeforeInit }: MaterialProps) => DivergenceMaterial; diff --git a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useGradientSubtractMaterial.d.ts b/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useGradientSubtractMaterial.d.ts deleted file mode 100644 index 06af8242..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useGradientSubtractMaterial.d.ts +++ /dev/null @@ -1,16 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../../types"; -export declare class GradientSubtractMaterial extends THREE.ShaderMaterial { - uniforms: { - uPressure: { - value: THREE.Texture; - }; - uVelocity: { - value: THREE.Texture; - }; - texelSize: { - value: THREE.Vector2; - }; - }; -} -export declare const useGradientSubtractMaterial: ({ onBeforeInit, }: MaterialProps) => GradientSubtractMaterial; diff --git a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useInitialMaterial.d.ts b/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useInitialMaterial.d.ts deleted file mode 100644 index 6322827a..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useInitialMaterial.d.ts +++ /dev/null @@ -1,2 +0,0 @@ -import * as THREE from "three"; -export declare const useInitialMaterial: () => THREE.ShaderMaterial; diff --git a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/usePressureMaterial.d.ts b/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/usePressureMaterial.d.ts deleted file mode 100644 index 798aa583..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/usePressureMaterial.d.ts +++ /dev/null @@ -1,16 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../../types"; -export declare class PressureMaterial extends THREE.ShaderMaterial { - uniforms: { - uPressure: { - value: THREE.Texture; - }; - uDivergence: { - value: THREE.Texture; - }; - texelSize: { - value: THREE.Vector2; - }; - }; -} -export declare const usePressureMaterial: ({ onBeforeInit }: MaterialProps) => PressureMaterial; diff --git a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useSplatMaterial.d.ts b/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useSplatMaterial.d.ts deleted file mode 100644 index 0a641bcc..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useSplatMaterial.d.ts +++ /dev/null @@ -1,25 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../../types"; -export declare class SplatMaterial extends THREE.ShaderMaterial { - uniforms: { - uTarget: { - value: THREE.Texture; - }; - aspectRatio: { - value: number; - }; - color: { - value: THREE.Vector3 | THREE.Color; - }; - point: { - value: THREE.Vector2; - }; - radius: { - value: number; - }; - texelSize: { - value: THREE.Vector2; - }; - }; -} -export declare const useSplatMaterial: ({ onBeforeInit }: MaterialProps) => SplatMaterial; diff --git a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useVorticityMaterial.d.ts b/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useVorticityMaterial.d.ts deleted file mode 100644 index 71994220..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useFluid/materials/useVorticityMaterial.d.ts +++ /dev/null @@ -1,22 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../../types"; -export declare class VorticityMaterial extends THREE.ShaderMaterial { - uniforms: { - uVelocity: { - value: THREE.Texture; - }; - uCurl: { - value: THREE.Texture; - }; - curl: { - value: number; - }; - dt: { - value: number; - }; - texelSize: { - value: THREE.Vector2; - }; - }; -} -export declare const useVorticityMaterial: ({ onBeforeInit }: MaterialProps) => VorticityMaterial; diff --git a/packages/use-shader-fx/types/fxs/simulations/useFluid/useMesh.d.ts b/packages/use-shader-fx/types/fxs/simulations/useFluid/useMesh.d.ts deleted file mode 100644 index a6d2cd12..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useFluid/useMesh.d.ts +++ /dev/null @@ -1,52 +0,0 @@ -import * as THREE from "three"; -import { AdvectionMaterial } from "./materials/useAdvectionMaterial"; -import { DivergenceMaterial } from "./materials/useDivergenceMaterial"; -import { PressureMaterial } from "./materials/usePressureMaterial"; -import { CurlMaterial } from "./materials/useCurlMaterial"; -import { VorticityMaterial } from "./materials/useVorticityMaterial"; -import { ClearMaterial } from "./materials/useClearMaterial"; -import { GradientSubtractMaterial } from "./materials/useGradientSubtractMaterial"; -import { SplatMaterial } from "./materials/useSplatMaterial"; -import { CustomParams } from "../../../utils/setUniforms"; -import { MaterialProps, Size } from "../../types"; -type TMaterials = AdvectionMaterial | DivergenceMaterial | CurlMaterial | PressureMaterial | ClearMaterial | GradientSubtractMaterial | SplatMaterial; -export type FluidMaterials = { - vorticityMaterial: VorticityMaterial; - curlMaterial: CurlMaterial; - advectionMaterial: AdvectionMaterial; - divergenceMaterial: DivergenceMaterial; - pressureMaterial: PressureMaterial; - clearMaterial: ClearMaterial; - gradientSubtractMaterial: GradientSubtractMaterial; - splatMaterial: SplatMaterial; -}; -export type CustomizableKeys = "advection" | "splat" | "curl" | "vorticity" | "divergence" | "clear" | "pressure" | "gradientSubtract"; -export type CustomFluidProps = { - [K in CustomizableKeys]?: MaterialProps; -}; -export type CustomFluidParams = { - [K in CustomizableKeys]?: CustomParams; -}; -/** - * Returns the material update function in the second argument - */ -export declare const useMesh: ({ scene, size, dpr, customFluidProps, }: { - scene: THREE.Scene; - size: Size; - dpr: number | false; - customFluidProps?: CustomFluidProps | undefined; -}) => { - materials: { - vorticityMaterial: VorticityMaterial; - curlMaterial: CurlMaterial; - advectionMaterial: AdvectionMaterial; - divergenceMaterial: DivergenceMaterial; - pressureMaterial: PressureMaterial; - clearMaterial: ClearMaterial; - gradientSubtractMaterial: GradientSubtractMaterial; - splatMaterial: SplatMaterial; - }; - setMeshMaterial: (material: TMaterials) => void; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, THREE.ShaderMaterial, THREE.Object3DEventMap>; -}; -export {}; diff --git a/packages/use-shader-fx/types/fxs/simulations/useRipple/index.d.ts b/packages/use-shader-fx/types/fxs/simulations/useRipple/index.d.ts deleted file mode 100644 index f622b745..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useRipple/index.d.ts +++ /dev/null @@ -1,39 +0,0 @@ -import * as THREE from "three"; -import { PointerValues } from "../../../misc/usePointer"; -import { HooksProps, HooksReturn } from "../../types"; -import { CustomParams } from "../../../utils/setUniforms"; -export type RippleParams = { - /** How often ripples appear, default : `0.01` */ - frequency?: number; - /** rotation rate, default : `0.05` */ - rotation?: number; - /** fadeout speed, default : `0.9` */ - fadeoutSpeed?: number; - /** scale rate, default : `0.3` */ - scale?: number; - /** alpha, default : `0.6` */ - alpha?: number; - /** When calling usePointer in a frame loop, setting PointerValues ​​to this value prevents double calls , default : `false` */ - pointerValues?: PointerValues | false; -}; -export type RippleObject = { - scene: THREE.Scene; - meshArr: THREE.Mesh[]; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const RIPPLE_PARAMS: RippleParams; -interface UseRippleProps extends HooksProps { - /** texture applied to ripple */ - texture?: THREE.Texture; - /** ripple size, default:64 */ - scale?: number; - /** ripple max length, default:100 */ - max?: number; -} -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useRipple: ({ texture, scale, max, size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: UseRippleProps) => HooksReturn<RippleParams, RippleObject, CustomParams>; -export {}; diff --git a/packages/use-shader-fx/types/fxs/simulations/useRipple/useMesh.d.ts b/packages/use-shader-fx/types/fxs/simulations/useRipple/useMesh.d.ts deleted file mode 100644 index 1888db40..00000000 --- a/packages/use-shader-fx/types/fxs/simulations/useRipple/useMesh.d.ts +++ /dev/null @@ -1,10 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -type UseMeshProps = { - scale: number; - max: number; - scene: THREE.Scene; - texture?: THREE.Texture; -}; -export declare const useMesh: ({ scale, max, texture, scene, onBeforeInit, }: UseMeshProps & MaterialProps) => THREE.Mesh<THREE.PlaneGeometry, THREE.ShaderMaterial, THREE.Object3DEventMap>[]; -export {}; diff --git a/packages/use-shader-fx/types/fxs/types/index.d.ts b/packages/use-shader-fx/types/fxs/types/index.d.ts deleted file mode 100644 index 481c2aa0..00000000 --- a/packages/use-shader-fx/types/fxs/types/index.d.ts +++ /dev/null @@ -1,68 +0,0 @@ -import * as THREE from "three"; -import { RootState } from "@react-three/fiber"; -export type Size = { - width: number; - height: number; -}; -export type Dpr = number | { - /** you can set whether `dpr` affects `shader`. default : `false` */ - shader?: false | number; - /** you can set whether `dpr` affects `fbo`. default : `false` */ - fbo?: false | number; -}; -export type OnBeforeInitParameters = { - uniforms: { - [uniform: string]: THREE.IUniform; - }; - fragmentShader: string; - vertexShader: string; -}; -export type MaterialProps = { - /** - * An optional callback that is executed immediately before the shader program is initialised. This function is called with the shader source code as a parameter. Useful for the modification of built-in materials. - * @param parameters {fragmentShader, vertexShader, uniforms} - */ - onBeforeInit?: (parameters: OnBeforeInitParameters) => void; -}; -export interface HooksProps extends MaterialProps { - /** Width,Height in pixels, or `size` from r3f */ - size: Size; - /** Pixel-ratio, use `window.devicePixelRatio` or viewport.dpr from r3f */ - dpr: Dpr; - /** Whether to `setSize` the FBO when updating size or dpr. default : `false` */ - isSizeUpdate?: boolean; - /** - * @type `THREE.RenderTargetOptions` - * @param depthBuffer Unlike the default in three.js, the default is `false`. - */ - renderTargetOptions?: THREE.RenderTargetOptions; -} -/** - * @returns {HooksReturn<T, O, C>} - * updateFx - Functions to update parameters and render. - * updateParams - Function to update parameters only. - * fxObject - An object containing various FX components such as scene, camera, material, and render target. - * - * @template T The type for the parameters of the hooks. - * @template O The type for the FX object. - * @template C The type for the custom parameters. - */ -export type HooksReturn<T, O, C> = [ - /** - * Functions to update parameters and render. - * @param rootState RootState - * @param newParams params of fxHooks - * @param customParams custom params, added to `uniforms` during initialisation - */ - (rootState: RootState, newParams?: T, customParams?: C) => THREE.Texture, - /** - * Function to update parameters only. - * @param newParams params of fxHooks - * @param customParams custom params, added to `uniforms` during initialisation - */ - (newParams?: T, customParams?: C) => void, - /** - * Contains each part of FX such as scene, camera, material, render target, etc. - */ - O -]; diff --git a/packages/use-shader-fx/types/fxs/utils/useAlphaBlending/index.d.ts b/packages/use-shader-fx/types/fxs/utils/useAlphaBlending/index.d.ts deleted file mode 100644 index 9de52271..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useAlphaBlending/index.d.ts +++ /dev/null @@ -1,22 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type AlphaBlendingParams = { - /** default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** alpha map , default : `THREE.Texture()` */ - map?: THREE.Texture; -}; -export type AlphaBlendingObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const ALPHABLENDING_PARAMS: AlphaBlendingParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useAlphaBlending: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<AlphaBlendingParams, AlphaBlendingObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/utils/useAlphaBlending/useMesh.d.ts b/packages/use-shader-fx/types/fxs/utils/useAlphaBlending/useMesh.d.ts deleted file mode 100644 index a68773a1..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useAlphaBlending/useMesh.d.ts +++ /dev/null @@ -1,19 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps, Size } from "../../types"; -export declare class AlphaBlendingMaterial extends THREE.ShaderMaterial { - uniforms: { - uTexture: { - value: THREE.Texture; - }; - uMap: { - value: THREE.Texture; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; - size: Size; -} & MaterialProps) => { - material: AlphaBlendingMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, AlphaBlendingMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/utils/useBlending/index.d.ts b/packages/use-shader-fx/types/fxs/utils/useBlending/index.d.ts deleted file mode 100644 index d1ad89e4..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useBlending/index.d.ts +++ /dev/null @@ -1,36 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type BlendingParams = { - /** Make this texture Blending , default : `THREE.Texture` */ - texture?: THREE.Texture; - /** map texture, default : `THREE.Texture` */ - map?: THREE.Texture; - /** map strength , r,g value are affecting , default : `0.3` */ - mapIntensity?: number; - /** Alpha blending is performed using the alpha of the set texture. , default : `false` */ - alphaMap?: THREE.Texture | false; - /** default : `(0.5,0.5,0.5)` */ - brightness?: THREE.Vector3; - /** default : `0.0` */ - min?: number; - /** default : `1.0` */ - max?: number; - /** If set, this value will apply color dodge , default : `false` */ - dodgeColor?: THREE.Color | false; -}; -export type BlendingObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const BLENDING_PARAMS: BlendingParams; -/** - * Blend map to texture. You can set the threshold for blending with brightness. You can set the dodge color by setting color. -If you don't want to reflect the map's color, you can use useFxBlending instead. - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useBlending: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<BlendingParams, BlendingObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/utils/useBlending/useMesh.d.ts b/packages/use-shader-fx/types/fxs/utils/useBlending/useMesh.d.ts deleted file mode 100644 index eed654ff..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useBlending/useMesh.d.ts +++ /dev/null @@ -1,42 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -export declare class BlendingMaterial extends THREE.ShaderMaterial { - uniforms: { - u_texture: { - value: THREE.Texture; - }; - uMap: { - value: THREE.Texture; - }; - u_alphaMap: { - value: THREE.Texture; - }; - u_isAlphaMap: { - value: boolean; - }; - uMapIntensity: { - value: number; - }; - u_brightness: { - value: THREE.Vector3; - }; - u_min: { - value: number; - }; - u_max: { - value: number; - }; - u_dodgeColor: { - value: THREE.Color; - }; - u_isDodgeColor: { - value: boolean; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; -} & MaterialProps) => { - material: BlendingMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, BlendingMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/utils/useBrightnessPicker/index.d.ts b/packages/use-shader-fx/types/fxs/utils/useBrightnessPicker/index.d.ts deleted file mode 100644 index d8bfd85b..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useBrightnessPicker/index.d.ts +++ /dev/null @@ -1,26 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type BrightnessPickerParams = { - /** pick brightness from this texture , default : `THREE.Texture` */ - texture?: THREE.Texture; - /** default : `(0.5,0.5,0.5)` */ - brightness?: THREE.Vector3; - /** default : `0.0` */ - min?: number; - /** default : `1.0` */ - max?: number; -}; -export type BrightnessPickerObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const BRIGHTNESSPICKER_PARAMS: BrightnessPickerParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useBrightnessPicker: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<BrightnessPickerParams, BrightnessPickerObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/utils/useBrightnessPicker/useMesh.d.ts b/packages/use-shader-fx/types/fxs/utils/useBrightnessPicker/useMesh.d.ts deleted file mode 100644 index f1dd1032..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useBrightnessPicker/useMesh.d.ts +++ /dev/null @@ -1,24 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -export declare class BrightnessPickerMaterial extends THREE.ShaderMaterial { - uniforms: { - u_texture: { - value: THREE.Texture; - }; - u_brightness: { - value: THREE.Vector3; - }; - u_min: { - value: number; - }; - u_max: { - value: number; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; -} & MaterialProps) => { - material: BrightnessPickerMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, BrightnessPickerMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/utils/useCoverTexture/index.d.ts b/packages/use-shader-fx/types/fxs/utils/useCoverTexture/index.d.ts deleted file mode 100644 index 733c456e..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useCoverTexture/index.d.ts +++ /dev/null @@ -1,20 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type CoverTextureParams = { - /** Textures that you want to display exactly on the screen , default : `THREE.Texture()` */ - texture?: THREE.Texture; -}; -export type CoverTextureObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const COVERTEXTURE_PARAMS: CoverTextureParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useCoverTexture: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<CoverTextureParams, CoverTextureObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/utils/useCoverTexture/useMesh.d.ts b/packages/use-shader-fx/types/fxs/utils/useCoverTexture/useMesh.d.ts deleted file mode 100644 index ba9a6d88..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useCoverTexture/useMesh.d.ts +++ /dev/null @@ -1,23 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps, Size } from "../../types"; -export declare class FxTextureMaterial extends THREE.ShaderMaterial { - uniforms: { - uResolution: { - value: THREE.Vector2; - }; - uTextureResolution: { - value: THREE.Vector2; - }; - uTexture: { - value: THREE.Texture; - }; - }; -} -export declare const useMesh: ({ scene, size, dpr, onBeforeInit, }: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - material: FxTextureMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, FxTextureMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/utils/useDuoTone/index.d.ts b/packages/use-shader-fx/types/fxs/utils/useDuoTone/index.d.ts deleted file mode 100644 index b83a69bb..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useDuoTone/index.d.ts +++ /dev/null @@ -1,25 +0,0 @@ -import * as THREE from "three"; -import { DuoToneMaterial } from "./useMesh"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type DuoToneParams = { - /** Make this texture duotone , Default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** 1st color ,　Default : `THREE.Color(0xffffff)` */ - color0?: THREE.Color; - /** 2nd color , Default : `THREE.Color(0x000000)` */ - color1?: THREE.Color; -}; -export type DuoToneObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: DuoToneMaterial; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const DUOTONE_PARAMS: DuoToneParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useDuoTone: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<DuoToneParams, DuoToneObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/utils/useDuoTone/useMesh.d.ts b/packages/use-shader-fx/types/fxs/utils/useDuoTone/useMesh.d.ts deleted file mode 100644 index 6806b5eb..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useDuoTone/useMesh.d.ts +++ /dev/null @@ -1,21 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -export declare class DuoToneMaterial extends THREE.ShaderMaterial { - uniforms: { - uTexture: { - value: THREE.Texture; - }; - uColor0: { - value: THREE.Color; - }; - uColor1: { - value: THREE.Color; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; -} & MaterialProps) => { - material: DuoToneMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, DuoToneMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/utils/useFxBlending/index.d.ts b/packages/use-shader-fx/types/fxs/utils/useFxBlending/index.d.ts deleted file mode 100644 index a7124b15..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useFxBlending/index.d.ts +++ /dev/null @@ -1,25 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type FxBlendingParams = { - /** Make this texture Blending , default : `THREE.Texture` */ - texture?: THREE.Texture; - /** map texture, default : `THREE.Texture` */ - map?: THREE.Texture; - /** map strength , r,g value are affecting , default : `0.3` */ - mapIntensity?: number; -}; -export type FxBlendingObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const FXBLENDING_PARAMS: FxBlendingParams; -/** - * Blend map to texture. You can change the intensity of fx applied by the rg value of map. Unlike "useBlending", the map color is not reflected. - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useFxBlending: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<FxBlendingParams, FxBlendingObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/utils/useFxBlending/useMesh.d.ts b/packages/use-shader-fx/types/fxs/utils/useFxBlending/useMesh.d.ts deleted file mode 100644 index ddfbee3f..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useFxBlending/useMesh.d.ts +++ /dev/null @@ -1,21 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps } from "../../types"; -export declare class FxBlendingMaterial extends THREE.ShaderMaterial { - uniforms: { - u_texture: { - value: THREE.Texture; - }; - uMap: { - value: THREE.Texture; - }; - uMapIntensity: { - value: number; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; -} & MaterialProps) => { - material: FxBlendingMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, FxBlendingMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/utils/useFxTexture/index.d.ts b/packages/use-shader-fx/types/fxs/utils/useFxTexture/index.d.ts deleted file mode 100644 index 014422ad..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useFxTexture/index.d.ts +++ /dev/null @@ -1,36 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type FxTextureParams = { - /** 1st texture , default : `THREE.Texture()` */ - texture0?: THREE.Texture; - /** 2nd texture , default : `THREE.Texture()` */ - texture1?: THREE.Texture; - /** add transparent padding, 0.0 ~ 1.0 , default : `0.0` */ - padding?: number; - /** The color map. The uv value is affected according to this rbg , default : `THREE.Texture()` */ - map?: THREE.Texture; - /** intensity of map , r,g value are affecting , default : `0.0` */ - mapIntensity?: number; - /** Intensity of effect on edges , default : `0.0` */ - edgeIntensity?: number; - /** epicenter of fx, -1 ~ 1 , default : `vec2(0.0,0.0)` */ - epicenter?: THREE.Vector2; - /** Switch value to switch between texture0 and texture1 , 0 ~ 1 , default : `0` */ - progress?: number; - /** direction of transition , default: `THREE.Vector2(0, 0)` */ - dir?: THREE.Vector2; -}; -export type FxTextureObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const FXTEXTURE_PARAMS: FxTextureParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useFxTexture: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<FxTextureParams, FxTextureObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/utils/useFxTexture/useMesh.d.ts b/packages/use-shader-fx/types/fxs/utils/useFxTexture/useMesh.d.ts deleted file mode 100644 index 8294b65b..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useFxTexture/useMesh.d.ts +++ /dev/null @@ -1,50 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps, Size } from "../../types"; -export declare class FxTextureMaterial extends THREE.ShaderMaterial { - uniforms: { - uResolution: { - value: THREE.Vector2; - }; - uTextureResolution: { - value: THREE.Vector2; - }; - uTexture0: { - value: THREE.Texture; - }; - uTexture1: { - value: THREE.Texture; - }; - padding: { - value: number; - }; - uMap: { - value: THREE.Texture; - }; - edgeIntensity: { - value: number; - }; - mapIntensity: { - value: number; - }; - epicenter: { - value: THREE.Vector2; - }; - progress: { - value: number; - }; - dirX: { - value: number; - }; - dirY: { - value: number; - }; - }; -} -export declare const useMesh: ({ scene, size, dpr, onBeforeInit, }: { - scene: THREE.Scene; - size: Size; - dpr: number | false; -} & MaterialProps) => { - material: FxTextureMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, FxTextureMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/fxs/utils/useHSV/index.d.ts b/packages/use-shader-fx/types/fxs/utils/useHSV/index.d.ts deleted file mode 100644 index 6df11829..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useHSV/index.d.ts +++ /dev/null @@ -1,24 +0,0 @@ -import * as THREE from "three"; -import { CustomParams } from "../../../utils/setUniforms"; -import { HooksProps, HooksReturn } from "../../types"; -export type HSVParams = { - /** default : `THREE.Texture()` */ - texture?: THREE.Texture; - /** default : `1` */ - brightness?: number; - /** default : `1` */ - saturation?: number; -}; -export type HSVObject = { - scene: THREE.Scene; - mesh: THREE.Mesh; - material: THREE.Material; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; -}; -export declare const HSV_PARAMS: HSVParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage - */ -export declare const useHSV: ({ size, dpr, renderTargetOptions, isSizeUpdate, onBeforeInit, }: HooksProps) => HooksReturn<HSVParams, HSVObject, CustomParams>; diff --git a/packages/use-shader-fx/types/fxs/utils/useHSV/useMesh.d.ts b/packages/use-shader-fx/types/fxs/utils/useHSV/useMesh.d.ts deleted file mode 100644 index 6b47a3cd..00000000 --- a/packages/use-shader-fx/types/fxs/utils/useHSV/useMesh.d.ts +++ /dev/null @@ -1,22 +0,0 @@ -import * as THREE from "three"; -import { MaterialProps, Size } from "../../types"; -export declare class HSVMaterial extends THREE.ShaderMaterial { - uniforms: { - u_texture: { - value: THREE.Texture; - }; - u_brightness: { - value: number; - }; - u_saturation: { - value: number; - }; - }; -} -export declare const useMesh: ({ scene, onBeforeInit, }: { - scene: THREE.Scene; - size: Size; -} & MaterialProps) => { - material: HSVMaterial; - mesh: THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, HSVMaterial, THREE.Object3DEventMap>; -}; diff --git a/packages/use-shader-fx/types/hooks/index.d.ts b/packages/use-shader-fx/types/hooks/index.d.ts new file mode 100644 index 00000000..bb28ce5f --- /dev/null +++ b/packages/use-shader-fx/types/hooks/index.d.ts @@ -0,0 +1,9 @@ +import { useNoise, NoiseProps } from "./useNoise"; +export type FxTypes = typeof useNoise; +export type FxProps<T> = T extends typeof useNoise ? NoiseProps : never; +export * from "./useNoise"; +export * from "./useFluid"; +export * from "./useBuffer"; +export * from "./useRawBlank"; +export * from "./useBlank"; +export * from "./useGrid"; diff --git a/packages/use-shader-fx/types/hooks/types/index.d.ts b/packages/use-shader-fx/types/hooks/types/index.d.ts new file mode 100644 index 00000000..a18406d5 --- /dev/null +++ b/packages/use-shader-fx/types/hooks/types/index.d.ts @@ -0,0 +1,73 @@ +import * as THREE from "three"; +import { BasicFxMaterial } from "../../materials/core/BasicFxMaterial"; +import { DoubleRenderTarget } from "../../utils"; +export type Size = { + width: number; + height: number; + top: number; + left: number; + updateStyle?: boolean; +}; +export type Dpr = number | { + /** you can set whether `dpr` affects `shader`. default : `false` */ + shader?: false | number; + /** you can set whether `dpr` affects `fbo`. default : `false` */ + fbo?: false | number; +}; +export type RootState = { + /** The instance of the renderer */ + gl: THREE.WebGLRenderer; + /** Default clock */ + clock: THREE.Clock; + /** Normalized event coordinates */ + pointer: THREE.Vector2; + /** Reactive pixel-size of the canvas */ + size: Size; +}; +/** + * sceneやmaterialなどはミュータブルなオブジェクトであり、non-reactiveであるべき + */ +export interface HooksProps { + /** Width,Height in pixels, or `size` from r3f */ + size: Size; + /** Pixel-ratio, use `window.devicePixelRatio` or viewport.dpr from r3f */ + dpr: Dpr; + /** Whether to `setSize` the FBO when updating size or dpr. default : `false` */ + fboAutoSetSize?: boolean; + /** + * @type `THREE.RenderTargetOptions` + * @param depthBuffer Unlike the default in three.js, the default is `false`. + */ + renderTargetOptions?: THREE.RenderTargetOptions; + materialParameters?: THREE.ShaderMaterialParameters; +} +/** + * @returns {HooksReturn<T, O, C>} + * render - Functions to update parameters and render. + * setValues - Function to update parameters only. + * texture - texture + * material - material + * scene - scene + * + * @template V The type for the FX parameters. + * @template O The type for the material. + */ +export type HooksReturn<V = {}, M = BasicFxMaterial, A = {}> = { + /** + * Functions to update parameters and render. + * @param rootState RootState + * @param newValues params of fxHooks. basicFxの追加/削除による再コンパイルや、fitの変更によるresolutionの変更は伴わない。再コンパイルを伴う場合はsetValuesを使う。 + */ + render: (rootState: RootState, newValues?: V) => THREE.Texture; + /** + * Function to update parameters only. + * @param newValues params of fxHooks + * @param needsUpdate basicFxの追加/削除による再コンパイルや、fitの変更によるresolutionの変更を伴うかどうか. default : `true` + */ + setValues: (newValues: V, needsUpdate?: boolean) => void; + texture: THREE.Texture; + material?: M; + scene?: THREE.Scene; + camera?: THREE.Camera; + renderTarget?: THREE.WebGLRenderTarget | DoubleRenderTarget; +} & A; diff --git a/packages/use-shader-fx/types/hooks/useBlank/index.d.ts b/packages/use-shader-fx/types/hooks/useBlank/index.d.ts new file mode 100644 index 00000000..ce8730b8 --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useBlank/index.d.ts @@ -0,0 +1,29 @@ +import { HooksProps, HooksReturn } from "../types"; +import { BlankMaterial } from "../../materials"; +import { ShaderWithUniforms } from "../../shaders/uniformsUtils"; +type BlankConfig = { + pointerLerp?: number; +}; +export type BlankProps = HooksProps & ShaderWithUniforms; +/** + * type DefaultUniforms = { + resolution: { value: THREE.Vector2 }; + texelSize: { value: THREE.Vector2 }; + aspectRatio: { value: number }; + maxAspect: { value: THREE.Vector2 }; + renderCount: { value: number }; + はデフォルトである + あとvaringでvUvつかえる + + 加えて、 + time + pointer + backbuffer + もデフォルトで使える + + あと、pointerLerp使えるよ + + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export declare const useBlank: ({ size, dpr, fboAutoSetSize, renderTargetOptions, materialParameters, pointerLerp, ...shaderWithUniforms }: BlankProps & BlankConfig) => HooksReturn<{}, BlankMaterial>; +export {}; diff --git a/packages/use-shader-fx/types/hooks/useBuffer/index.d.ts b/packages/use-shader-fx/types/hooks/useBuffer/index.d.ts new file mode 100644 index 00000000..d9caf436 --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useBuffer/index.d.ts @@ -0,0 +1,7 @@ +import { HooksProps, HooksReturn } from "../types"; +import { BufferMaterial, BufferMaterialProps, BufferValues } from "../../materials"; +export type BufferProps = HooksProps & BufferValues; +/** + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export declare const useBuffer: ({ size, dpr, fboAutoSetSize, renderTargetOptions, materialParameters, ...uniformValues }: BufferProps) => HooksReturn<BufferValues, BufferMaterial & BufferMaterialProps>; diff --git a/packages/use-shader-fx/types/hooks/useFluid/index.d.ts b/packages/use-shader-fx/types/hooks/useFluid/index.d.ts new file mode 100644 index 00000000..24486e5f --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useFluid/index.d.ts @@ -0,0 +1,14 @@ +import * as THREE from "three"; +import { HooksProps, HooksReturn } from "../types"; +import { BasicFxValues, FluidMaterials } from "../../materials"; +export type FluidValues = { + pressureIterations?: number; +} & BasicFxValues & FluidMaterials.AdvectionValuesClient & FluidMaterials.DivergenceValuesClient & FluidMaterials.PoissonValuesClient & FluidMaterials.PressureValuesClient & FluidMaterials.SplatValuesClient; +export type FluidProps = HooksProps & FluidValues; +/** + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export declare const useFluid: ({ size, dpr, fboAutoSetSize, renderTargetOptions, materialParameters, ...uniformValues }: FluidProps) => HooksReturn<FluidValues, any, { + /** velocity map */ + velocity: THREE.Texture; +}>; diff --git a/packages/use-shader-fx/types/hooks/useFluid/scenes/useAdvection.d.ts b/packages/use-shader-fx/types/hooks/useFluid/scenes/useAdvection.d.ts new file mode 100644 index 00000000..9ca0287d --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useFluid/scenes/useAdvection.d.ts @@ -0,0 +1,10 @@ +import { RootState, Size } from "../../types"; +import { FluidMaterials } from "../../../materials"; +import { SingleFBOUpdateFunction } from "../../../utils"; +export declare const useAdvection: ({ size, dpr, ...uniformValues }: { + size: Size; + dpr: number | false; +} & FluidMaterials.AdvectionValues, updateRenderTarget: SingleFBOUpdateFunction) => { + render: (rootState: RootState) => void; + material: FluidMaterials.AdvectionMaterial; +}; diff --git a/packages/use-shader-fx/types/hooks/useFluid/scenes/useDivergence.d.ts b/packages/use-shader-fx/types/hooks/useFluid/scenes/useDivergence.d.ts new file mode 100644 index 00000000..7e9f716f --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useFluid/scenes/useDivergence.d.ts @@ -0,0 +1,10 @@ +import { RootState, Size } from "../../types"; +import { FluidMaterials } from "../../../materials"; +import { SingleFBOUpdateFunction } from "../../../utils"; +export declare const useDivergence: ({ size, dpr, ...uniformValues }: { + size: Size; + dpr: number | false; +} & FluidMaterials.DivergenceValues, updateRenderTarget: SingleFBOUpdateFunction) => { + render: (rootState: RootState) => void; + material: FluidMaterials.DivergenceMaterial; +}; diff --git a/packages/use-shader-fx/types/hooks/useFluid/scenes/useOutput.d.ts b/packages/use-shader-fx/types/hooks/useFluid/scenes/useOutput.d.ts new file mode 100644 index 00000000..237f8ddf --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useFluid/scenes/useOutput.d.ts @@ -0,0 +1,10 @@ +import { RootState, Size } from "../../types"; +import { SingleFBOUpdateFunction } from "../../../utils"; +import { FluidMaterials } from "../../../materials"; +export declare const useOutput: ({ size, dpr, ...values }: { + size: Size; + dpr: number | false; +} & FluidMaterials.OutputValues, updateRenderTarget: SingleFBOUpdateFunction) => { + render: (rootState: RootState) => void; + material: FluidMaterials.OutputMaterial; +}; diff --git a/packages/use-shader-fx/types/hooks/useFluid/scenes/usePoisson.d.ts b/packages/use-shader-fx/types/hooks/useFluid/scenes/usePoisson.d.ts new file mode 100644 index 00000000..616f99e1 --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useFluid/scenes/usePoisson.d.ts @@ -0,0 +1,11 @@ +import { RootState, Size } from "../../types"; +import { DoubleFBOUpdateFunction } from "../../../utils"; +import { FluidMaterials } from "../../../materials"; +export declare const usePoisson: ({ size, dpr, pressureIterations, ...uniformValues }: { + size: Size; + dpr: number | false; + pressureIterations?: number; +} & Omit<FluidMaterials.PoissonValues, "pressure">, updateRenderTarget: DoubleFBOUpdateFunction) => { + render: (rootState: RootState) => void; + material: FluidMaterials.PoissonMaterial; +}; diff --git a/packages/use-shader-fx/types/hooks/useFluid/scenes/usePressure.d.ts b/packages/use-shader-fx/types/hooks/useFluid/scenes/usePressure.d.ts new file mode 100644 index 00000000..ad9be767 --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useFluid/scenes/usePressure.d.ts @@ -0,0 +1,10 @@ +import { RootState, Size } from "../../types"; +import { SingleFBOUpdateFunction } from "../../../utils"; +import { FluidMaterials } from "../../../materials"; +export declare const usePressure: ({ size, dpr, ...uniformValues }: { + size: Size; + dpr: number | false; +} & FluidMaterials.PressureValues, updateRenderTarget: SingleFBOUpdateFunction) => { + render: (rootState: RootState) => void; + material: FluidMaterials.PressureMaterial; +}; diff --git a/packages/use-shader-fx/types/hooks/useFluid/scenes/useSplat.d.ts b/packages/use-shader-fx/types/hooks/useFluid/scenes/useSplat.d.ts new file mode 100644 index 00000000..4cdd4b5c --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useFluid/scenes/useSplat.d.ts @@ -0,0 +1,10 @@ +import { RootState, Size } from "../../types"; +import { SingleFBOUpdateFunction } from "../../../utils"; +import { FluidMaterials } from "../../../materials"; +export declare const useSplat: ({ size, dpr, ...uniformValues }: { + size: Size; + dpr: number | false; +} & FluidMaterials.SplatValuesClient, updateRenderTarget: SingleFBOUpdateFunction) => { + render: (rootState: RootState) => void; + material: FluidMaterials.SplatMaterial; +}; diff --git a/packages/use-shader-fx/types/hooks/useGrid/index.d.ts b/packages/use-shader-fx/types/hooks/useGrid/index.d.ts new file mode 100644 index 00000000..6e245f73 --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useGrid/index.d.ts @@ -0,0 +1,7 @@ +import { HooksProps, HooksReturn } from "../types"; +import { GridMaterial, GridValues, GridMaterialProps } from "../../materials"; +export type GridProps = HooksProps & GridValues; +/** + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export declare const useGrid: ({ size, dpr, fboAutoSetSize, renderTargetOptions, materialParameters, ...uniformValues }: GridProps) => HooksReturn<GridValues, GridMaterial & GridMaterialProps>; diff --git a/packages/use-shader-fx/types/hooks/useNoise/index.d.ts b/packages/use-shader-fx/types/hooks/useNoise/index.d.ts new file mode 100644 index 00000000..d2b333d8 --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useNoise/index.d.ts @@ -0,0 +1,7 @@ +import { HooksProps, HooksReturn } from "../types"; +import { NoiseMaterial, NoiseMaterialProps, NoiseValues } from "../../materials"; +export type NoiseProps = HooksProps & NoiseValues; +/** + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export declare const useNoise: ({ size, dpr, fboAutoSetSize, renderTargetOptions, materialParameters, ...uniformValues }: NoiseProps) => HooksReturn<NoiseValues, NoiseMaterial & NoiseMaterialProps>; diff --git a/packages/use-shader-fx/types/hooks/useRawBlank/index.d.ts b/packages/use-shader-fx/types/hooks/useRawBlank/index.d.ts new file mode 100644 index 00000000..29c5611e --- /dev/null +++ b/packages/use-shader-fx/types/hooks/useRawBlank/index.d.ts @@ -0,0 +1,17 @@ +import { HooksProps, HooksReturn } from "../types"; +import { RawBlankMaterial } from "../../materials"; +import { ShaderWithUniforms } from "../../shaders/uniformsUtils"; +export type RawBlankProps = HooksProps & ShaderWithUniforms; +/** + * type DefaultUniforms = { + resolution: { value: THREE.Vector2 }; + texelSize: { value: THREE.Vector2 }; + aspectRatio: { value: number }; + maxAspect: { value: THREE.Vector2 }; + renderCount: { value: number }; + はデフォルトである + あとvaringでvUvつかえる + + * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usage + */ +export declare const useRawBlank: ({ size, dpr, fboAutoSetSize, renderTargetOptions, materialParameters, ...shaderWithUniforms }: RawBlankProps) => HooksReturn<{}, RawBlankMaterial>; diff --git a/packages/use-shader-fx/types/index.d.ts b/packages/use-shader-fx/types/index.d.ts index 1b96d681..8c9e7f5c 100644 --- a/packages/use-shader-fx/types/index.d.ts +++ b/packages/use-shader-fx/types/index.d.ts @@ -1,41 +1,4 @@ -export * from "./fxs/interactions/useBrush"; -export * from "./fxs/simulations/useFluid"; -export * from "./fxs/simulations/useRipple"; -export * from "./fxs/noises/useNoise"; -export * from "./fxs/noises/useColorStrata"; -export * from "./fxs/noises/useMarble"; -export * from "./fxs/noises/useCosPalette"; -export * from "./fxs/utils/useDuoTone"; -export * from "./fxs/utils/useBlending"; -export * from "./fxs/utils/useFxTexture"; -export * from "./fxs/utils/useBrightnessPicker"; -export * from "./fxs/utils/useFxBlending"; -export * from "./fxs/utils/useAlphaBlending"; -export * from "./fxs/utils/useHSV"; -export * from "./fxs/utils/useCoverTexture"; -export * from "./fxs/effects/useSimpleBlur"; -export * from "./fxs/effects/useMotionBlur"; -export * from "./fxs/effects/useWave"; -export * from "./fxs/misc/useChromaKey"; -export * from "./fxs/blank/useBlank"; -export * from "./fxs/blank/useRawBlank"; -export * from "./fxs/3D/useMorphParticles"; -export * from "./fxs/3D/useMorphParticles/useCreateMorphParticles"; -export * from "./fxs/3D/useWobble3D"; -export * from "./fxs/3D/useWobble3D/useCreateWobble3D"; -export * from "./utils/setUniforms"; -export * from "./utils/useAddMesh"; -export * from "./utils/useCamera"; -export * from "./utils/useDoubleFBO"; -export * from "./utils/useParams"; -export * from "./utils/useResolution"; -export * from "./utils/useSingleFBO"; -export * from "./utils/useResizeBoundary"; -export * from "./misc/usePointer"; -export * from "./misc/useBeat"; -export * from "./misc/useFPSLimiter"; -export * from "./misc/useDomSyncer"; -export * from "./misc/useCopyTexture"; -export * from "./libs/Easings"; -export * from "./libs/Utils"; -export * from "./libs/shaders/ShaderChunk"; +export * from "./hooks"; +export * from "./materials"; +export * from "./misc"; +export { useDoubleFBO, useSingleFBO } from "./utils"; diff --git a/packages/use-shader-fx/types/libs/Utils.d.ts b/packages/use-shader-fx/types/libs/Utils.d.ts deleted file mode 100644 index c3c7a9f0..00000000 --- a/packages/use-shader-fx/types/libs/Utils.d.ts +++ /dev/null @@ -1,6 +0,0 @@ -type Utils = { - interpolate: (startValue: number, endValue: number, progress: number, threshold?: number) => number; - smoothstep: (edge0: number, edge1: number, x: number) => number; -}; -export declare const Utils: Utils; -export {}; diff --git a/packages/use-shader-fx/types/libs/constants.d.ts b/packages/use-shader-fx/types/libs/constants.d.ts index abd77be4..3838bde0 100644 --- a/packages/use-shader-fx/types/libs/constants.d.ts +++ b/packages/use-shader-fx/types/libs/constants.d.ts @@ -6,3 +6,5 @@ export declare const MATERIAL_BASIC_PARAMS: { depthWrite: boolean; }; export declare const DEFAULT_TEXTURE: THREE.DataTexture; +export declare const APP_NAME = "use-shader-fx"; +export declare const THREE_FLAG_PROPS: string[]; diff --git a/packages/use-shader-fx/types/libs/shaders/ShaderChunk.d.ts b/packages/use-shader-fx/types/libs/shaders/ShaderChunk.d.ts deleted file mode 100644 index 42a057bd..00000000 --- a/packages/use-shader-fx/types/libs/shaders/ShaderChunk.d.ts +++ /dev/null @@ -1,4 +0,0 @@ -export type ShaderChunkTypes = "wobble3D" | "snoise" | "coverTexture" | "fxBlending" | "planeVertex" | "defaultVertex" | "hsv2rgb" | "rgb2hsv"; -export declare const ShaderChunk: { - [K in ShaderChunkTypes]: string; -}; diff --git a/packages/use-shader-fx/types/libs/shaders/resolveShaders.d.ts b/packages/use-shader-fx/types/libs/shaders/resolveShaders.d.ts deleted file mode 100644 index a4f3f34b..00000000 --- a/packages/use-shader-fx/types/libs/shaders/resolveShaders.d.ts +++ /dev/null @@ -1,2 +0,0 @@ -declare function resolveIncludes(string: string): string; -export { resolveIncludes }; diff --git a/packages/use-shader-fx/types/libs/types.d.ts b/packages/use-shader-fx/types/libs/types.d.ts new file mode 100644 index 00000000..e6acf0dc --- /dev/null +++ b/packages/use-shader-fx/types/libs/types.d.ts @@ -0,0 +1,2 @@ +/** 0:r,1:g,2:b,3:a */ +export type Vec4Channel = 0 | 1 | 2 | 3; diff --git a/packages/use-shader-fx/types/materials/core/BasicFxLib.d.ts b/packages/use-shader-fx/types/materials/core/BasicFxLib.d.ts new file mode 100644 index 00000000..e4569bca --- /dev/null +++ b/packages/use-shader-fx/types/materials/core/BasicFxLib.d.ts @@ -0,0 +1,277 @@ +import * as THREE from "three"; +import { DefaultUniforms } from "./FxMaterial"; +import { NestUniformValues, UniformParentKey } from "../../shaders/uniformsUtils"; +import type { Vec4Channel } from "../../libs/types"; +/** 0:`fill` 1:`cover` 2:`contain` */ +export type FitType = 0 | 1 | 2; +export type BasicFxUniformsUnique = { + mixSrc: { + value: UniformParentKey; + }; + mixSrc_src: { + value: THREE.Texture; + }; + mixSrc_fit: { + value: FitType; + }; + mixSrc_uv: { + value: UniformParentKey; + }; + mixSrc_uv_ch: { + value: Vec4Channel; + }; + mixSrc_uv_factor: { + value: number; + }; + mixSrc_uv_offset: { + value: THREE.Vector2; + }; + mixSrc_uv_radius: { + value: number; + }; + mixSrc_uv_position: { + value: THREE.Vector2; + }; + mixSrc_uv_range: { + value: THREE.Vector2; + }; + mixSrc_uv_mixMap: { + value: UniformParentKey; + }; + mixSrc_uv_mixMap_src: { + value: THREE.Texture; + }; + mixSrc_uv_mixMap_ch: { + value: Vec4Channel; + }; + mixSrc_color: { + value: UniformParentKey; + }; + mixSrc_color_factor: { + value: number; + }; + mixSrc_color_radius: { + value: number; + }; + mixSrc_color_position: { + value: THREE.Vector2; + }; + mixSrc_color_range: { + value: THREE.Vector2; + }; + mixSrc_color_mixMap: { + value: UniformParentKey; + }; + mixSrc_color_mixMap_src: { + value: THREE.Texture; + }; + mixSrc_color_mixMap_ch: { + value: Vec4Channel; + }; + mixSrc_alpha: { + value: UniformParentKey; + }; + mixSrc_alpha_factor: { + value: number; + }; + mixSrc_alpha_radius: { + value: number; + }; + mixSrc_alpha_position: { + value: THREE.Vector2; + }; + mixSrc_alpha_range: { + value: THREE.Vector2; + }; + mixSrc_alpha_mixMap: { + value: UniformParentKey; + }; + mixSrc_alpha_mixMap_src: { + value: THREE.Texture; + }; + mixSrc_alpha_mixMap_ch: { + value: Vec4Channel; + }; + mixDst: { + value: UniformParentKey; + }; + mixDst_src: { + value: THREE.Texture; + }; + mixDst_fit: { + value: FitType; + }; + mixDst_uv: { + value: UniformParentKey; + }; + mixDst_uv_ch: { + value: Vec4Channel; + }; + mixDst_uv_factor: { + value: number; + }; + mixDst_uv_offset: { + value: THREE.Vector2; + }; + mixDst_uv_radius: { + value: number; + }; + mixDst_uv_position: { + value: THREE.Vector2; + }; + mixDst_uv_range: { + value: THREE.Vector2; + }; + mixDst_uv_mixMap: { + value: UniformParentKey; + }; + mixDst_uv_mixMap_src: { + value: THREE.Texture; + }; + mixDst_uv_mixMap_ch: { + value: Vec4Channel; + }; + mixDst_color: { + value: UniformParentKey; + }; + mixDst_color_factor: { + value: number; + }; + mixDst_color_radius: { + value: number; + }; + mixDst_color_position: { + value: THREE.Vector2; + }; + mixDst_color_range: { + value: THREE.Vector2; + }; + mixDst_color_mixMap: { + value: UniformParentKey; + }; + mixDst_color_mixMap_src: { + value: THREE.Texture; + }; + mixDst_color_mixMap_ch: { + value: Vec4Channel; + }; + mixDst_alpha: { + value: UniformParentKey; + }; + mixDst_alpha_factor: { + value: number; + }; + mixDst_alpha_radius: { + value: number; + }; + mixDst_alpha_position: { + value: THREE.Vector2; + }; + mixDst_alpha_range: { + value: THREE.Vector2; + }; + mixDst_alpha_mixMap: { + value: UniformParentKey; + }; + mixDst_alpha_mixMap_src: { + value: THREE.Texture; + }; + mixDst_alpha_mixMap_ch: { + value: Vec4Channel; + }; + levels: { + value: UniformParentKey; + }; + levels_shadows: { + value: THREE.Vector4; + }; + levels_midtones: { + value: THREE.Vector4; + }; + levels_highlights: { + value: THREE.Vector4; + }; + levels_outputMin: { + value: THREE.Vector4; + }; + levels_outputMax: { + value: THREE.Vector4; + }; + contrast: { + value: UniformParentKey; + }; + contrast_factor: { + value: THREE.Vector4; + }; + colorBalance: { + value: UniformParentKey; + }; + colorBalance_factor: { + value: THREE.Vector3; + }; + hsv: { + value: UniformParentKey; + }; + hsv_hueShift: { + value: number; + }; + hsv_saturation: { + value: number; + }; + hsv_brightness: { + value: number; + }; + posterize: { + value: UniformParentKey; + }; + posterize_levels: { + value: THREE.Vector4; + }; + grayscale: { + value: UniformParentKey; + }; + grayscale_weight: { + value: THREE.Vector3; + }; + grayscale_duotone: { + value: UniformParentKey; + }; + grayscale_duotone_color0: { + value: THREE.Color; + }; + grayscale_duotone_color1: { + value: THREE.Color; + }; + grayscale_threshold: { + value: number; + }; +}; +type BasicFxUniformsFitScale = { + mixSrc_fitScale: { + value: THREE.Vector2; + }; + mixDst_fitScale: { + value: THREE.Vector2; + }; +}; +export type BasicFxUniforms = BasicFxUniformsUnique & DefaultUniforms; +export type BasicFxValues = NestUniformValues<BasicFxUniforms>; +export type FxKey = { + srcSystem: boolean; + mixSrc: boolean; + mixDst: boolean; + levels: boolean; + contrast: boolean; + colorBalance: boolean; + hsv: boolean; + posterize: boolean; + grayscale: boolean; +}; +export type SrcSystemKey = "mixSrc" | "mixDst" | "texture"; +export declare const BASICFX_VALUES: BasicFxUniformsUnique & BasicFxUniformsFitScale; +export declare function handleUpdateFxDefines(fxKey: FxKey): { + [key: string]: any; +}; +/** setterで定義される場合もあるため、valuesではなくuniformsから判定する */ +export declare function getFxKeyFromUniforms(uniforms: BasicFxUniformsUnique): FxKey; +export {}; diff --git a/packages/use-shader-fx/types/materials/core/BasicFxMaterial.d.ts b/packages/use-shader-fx/types/materials/core/BasicFxMaterial.d.ts new file mode 100644 index 00000000..ab87a5f1 --- /dev/null +++ b/packages/use-shader-fx/types/materials/core/BasicFxMaterial.d.ts @@ -0,0 +1,39 @@ +import { FxMaterial, FxMaterialProps } from "./FxMaterial"; +import * as BasicFxLib from "./BasicFxLib"; +export declare class BasicFxMaterial extends FxMaterial { + fxKey: BasicFxLib.FxKey; + uniforms: BasicFxLib.BasicFxUniforms; + programCache: number; + constructor({ uniforms, vertexShader, fragmentShader, ...rest }?: FxMaterialProps<BasicFxLib.BasicFxValues>); + private _setupFxShaders; + /** SamplingFxMaterialで継承するため、handlerとして独立させる */ + protected _handleMergeShaderLib(vertexShader?: string, fragmentShader?: string): [string | undefined, string | undefined]; + private _updateFxShaders; + /** SamplingFxMaterialで継承するため、handlerとして独立させる */ + protected _handleUpdateFxShaders(): { + diffCount: number; + newFxKey: BasicFxLib.FxKey; + }; + private _updateFxDefines; + /** SamplingFxMaterialで継承するため、handlerとして独立させる */ + protected _handleUpdateFxDefines(): { + [key: string]: any; + }; + protected _isContainsBasicFxValues(target?: { + [key: string]: any; + }, source?: { + [key: string]: any; + }): boolean; + protected _setupFxKey(uniforms: BasicFxLib.BasicFxUniforms): BasicFxLib.FxKey; + private _calcFitScale; + protected _setFitScale(key: BasicFxLib.SrcSystemKey): void; + protected _updateFitScale(): void; + /** + * @param needsUpdate default : `true` + */ + setUniformValues(values?: { + [key: string]: any; + }, needsUpdate?: boolean): Record<string, any> | undefined; + protected _defineUniformAccessors(onSet?: () => void): void; + updateResolution(width: number, height: number): void; +} diff --git a/packages/use-shader-fx/types/materials/core/FxMaterial.d.ts b/packages/use-shader-fx/types/materials/core/FxMaterial.d.ts new file mode 100644 index 00000000..42aa690f --- /dev/null +++ b/packages/use-shader-fx/types/materials/core/FxMaterial.d.ts @@ -0,0 +1,38 @@ +import * as THREE from "three"; +import { ShaderWithUniforms } from "../../shaders/uniformsUtils"; +export type DefaultUniforms = { + resolution: { + value: THREE.Vector2; + }; + texelSize: { + value: THREE.Vector2; + }; + aspectRatio: { + value: number; + }; + maxAspect: { + value: THREE.Vector2; + }; + renderCount: { + value: number; + }; +}; +export type FxMaterialProps<T = {}> = { + uniformValues?: T; + materialParameters?: THREE.ShaderMaterialParameters; + customParameters?: { + [key: string]: any; + }; +} & ShaderWithUniforms; +export declare class FxMaterial extends THREE.ShaderMaterial { + static readonly key: string; + constructor({ uniformValues, materialParameters, uniforms, vertexShader, fragmentShader, }?: FxMaterialProps); + /** This is updated in useFxScene */ + updateResolution(width: number, height: number): void; + protected _setupShaders(vertexShader?: string, fragmentShader?: string): void; + setUniformValues(values?: { + [key: string]: any; + }): Record<string, any> | undefined; + /** define getter/setters　*/ + protected _defineUniformAccessors(onSet?: () => void): void; +} diff --git a/packages/use-shader-fx/types/materials/core/SamplingFxMaterial.d.ts b/packages/use-shader-fx/types/materials/core/SamplingFxMaterial.d.ts new file mode 100644 index 00000000..4c0da789 --- /dev/null +++ b/packages/use-shader-fx/types/materials/core/SamplingFxMaterial.d.ts @@ -0,0 +1,39 @@ +import * as THREE from "three"; +import { FxMaterialProps } from "./FxMaterial"; +import { NestUniformValues, UniformParentKey } from "../../shaders/uniformsUtils"; +import { BasicFxMaterial } from "./BasicFxMaterial"; +import * as BasicFxLib from "./BasicFxLib"; +type SamplingFxUniformsUnique = { + texture: { + value: UniformParentKey; + }; + texture_src: { + value: THREE.Texture; + }; + texture_fit: { + value: BasicFxLib.FitType; + }; +}; +export type SamplingFxUniforms = SamplingFxUniformsUnique & BasicFxLib.BasicFxUniforms; +export type SamplingFxValues = NestUniformValues<SamplingFxUniforms>; +/** + * SamplingFxMaterialでは常にtextureはtrueであるはずなので、BasicFxMaterialを継承して、srcSystemは常にtrueになるように、継承する + */ +export declare class SamplingFxMaterial extends BasicFxMaterial { + uniforms: SamplingFxUniforms; + constructor({ uniforms, ...rest }: FxMaterialProps<SamplingFxValues>); + protected _handleMergeShaderLib(vertexShader?: string, fragmentShader?: string): [string | undefined, string | undefined]; + protected _isContainsBasicFxValues(values?: { + [key: string]: any; + }): boolean; + protected _updateFitScale(): void; + protected _setupFxKey(uniforms: BasicFxLib.BasicFxUniforms): BasicFxLib.FxKey; + protected _handleUpdateFxShaders(): { + diffCount: number; + newFxKey: BasicFxLib.FxKey; + }; + protected _handleUpdateFxDefines(): { + [key: string]: any; + }; +} +export {}; diff --git a/packages/use-shader-fx/types/materials/impl/blank/BlankMaterial.d.ts b/packages/use-shader-fx/types/materials/impl/blank/BlankMaterial.d.ts new file mode 100644 index 00000000..1d2f0314 --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/blank/BlankMaterial.d.ts @@ -0,0 +1,19 @@ +import * as THREE from "three"; +import { DefaultUniforms, FxMaterial, FxMaterialProps } from "../../core/FxMaterial"; +type BlankUniforms = { + time: { + value: number; + }; + pointer: { + value: THREE.Vector2; + }; + backbuffer: { + value: THREE.Texture; + }; +} & DefaultUniforms; +export declare class BlankMaterial extends FxMaterial { + static get type(): string; + uniforms: BlankUniforms; + constructor({ vertexShader, fragmentShader, uniforms, ...rest }: FxMaterialProps); +} +export {}; diff --git a/packages/use-shader-fx/types/materials/impl/buffer/BufferMaterial.d.ts b/packages/use-shader-fx/types/materials/impl/buffer/BufferMaterial.d.ts new file mode 100644 index 00000000..59affdda --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/buffer/BufferMaterial.d.ts @@ -0,0 +1,23 @@ +import { SamplingFxUniforms, SamplingFxValues, SamplingFxMaterial } from "../../core/SamplingFxMaterial"; +import { FxMaterialProps } from "../../core/FxMaterial"; +import { ExtractUniformValues, NestUniformValues } from "../../../shaders/uniformsUtils"; +type BufferUniforms = SamplingFxUniforms; +export type BufferValues = NestUniformValues<BufferUniforms> & SamplingFxValues; +export type BufferMaterialProps = ExtractUniformValues<BufferUniforms>; +export declare class BufferMaterial extends SamplingFxMaterial { + static readonly key: string; + static get type(): string; + uniforms: BufferUniforms; + constructor(props?: FxMaterialProps<BufferValues>); +} +declare global { + namespace JSX { + interface IntrinsicElements { + bufferMaterial: BufferMaterialProps & { + ref?: React.RefObject<BufferMaterial>; + key?: React.Key; + }; + } + } +} +export {}; diff --git a/packages/use-shader-fx/types/materials/impl/fluid/AdvectionMaterial.d.ts b/packages/use-shader-fx/types/materials/impl/fluid/AdvectionMaterial.d.ts new file mode 100644 index 00000000..ffce3720 --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/fluid/AdvectionMaterial.d.ts @@ -0,0 +1,22 @@ +import * as THREE from "three"; +import { FxMaterial, FxMaterialProps } from "../../../materials/core/FxMaterial"; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; +type AdvectionUniforms = { + dissipation: { + value: number; + }; + deltaTime: { + value: number; + }; + velocity: { + value: THREE.Texture; + }; +}; +export type AdvectionValues = NestUniformValues<AdvectionUniforms>; +export type AdvectionValuesClient = Omit<AdvectionValues, "velocity">; +export declare class AdvectionMaterial extends FxMaterial { + static get type(): string; + uniforms: AdvectionUniforms; + constructor(props: FxMaterialProps<AdvectionValues>); +} +export {}; diff --git a/packages/use-shader-fx/types/materials/impl/fluid/DivergenceMaterial.d.ts b/packages/use-shader-fx/types/materials/impl/fluid/DivergenceMaterial.d.ts new file mode 100644 index 00000000..90770150 --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/fluid/DivergenceMaterial.d.ts @@ -0,0 +1,22 @@ +import * as THREE from "three"; +import { FxMaterial, FxMaterialProps } from "../../../materials/core/FxMaterial"; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; +type DivergenceUniforms = { + bounce: { + value: boolean; + }; + deltaTime: { + value: number; + }; + velocity: { + value: THREE.Texture; + }; +}; +export type DivergenceValues = NestUniformValues<DivergenceUniforms>; +export type DivergenceValuesClient = Omit<DivergenceValues, "velocity">; +export declare class DivergenceMaterial extends FxMaterial { + static get type(): string; + uniforms: DivergenceUniforms; + constructor(props: FxMaterialProps<DivergenceValues>); +} +export {}; diff --git a/packages/use-shader-fx/types/materials/impl/fluid/OutputMaterial.d.ts b/packages/use-shader-fx/types/materials/impl/fluid/OutputMaterial.d.ts new file mode 100644 index 00000000..a3cb78c0 --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/fluid/OutputMaterial.d.ts @@ -0,0 +1,17 @@ +import * as THREE from "three"; +import { FxMaterialProps } from "../../core/FxMaterial"; +import { BasicFxUniforms, BasicFxValues } from "../../core/BasicFxLib"; +import { BasicFxMaterial } from "../../core/BasicFxMaterial"; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; +type OutputUniforms = { + src: { + value: THREE.Texture; + }; +} & BasicFxUniforms; +export type OutputValues = NestUniformValues<OutputUniforms> & BasicFxValues; +export declare class OutputMaterial extends BasicFxMaterial { + static get type(): string; + uniforms: OutputUniforms; + constructor(props?: FxMaterialProps<OutputValues>); +} +export {}; diff --git a/packages/use-shader-fx/types/materials/impl/fluid/PoissonMaterial.d.ts b/packages/use-shader-fx/types/materials/impl/fluid/PoissonMaterial.d.ts new file mode 100644 index 00000000..86eeb9d4 --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/fluid/PoissonMaterial.d.ts @@ -0,0 +1,23 @@ +import * as THREE from "three"; +import { FxMaterial, FxMaterialProps } from "../../../materials/core/FxMaterial"; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; +type PoissonUniforms = { + bounce: { + value: boolean; + }; + pressure: { + value: THREE.Texture; + }; + divergence: { + value: THREE.Texture; + }; +}; +export type PoissonValues = NestUniformValues<PoissonUniforms>; +export type PoissonValuesClient = Omit<PoissonValues, "pressure" | "divergence">; +export declare class PoissonMaterial extends FxMaterial { + static get type(): string; + uniforms: PoissonUniforms; + iterations: number; + constructor({ customParameters, ...rest }: FxMaterialProps<PoissonValues>); +} +export {}; diff --git a/packages/use-shader-fx/types/materials/impl/fluid/PressureMaterial.d.ts b/packages/use-shader-fx/types/materials/impl/fluid/PressureMaterial.d.ts new file mode 100644 index 00000000..07632ba1 --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/fluid/PressureMaterial.d.ts @@ -0,0 +1,25 @@ +import * as THREE from "three"; +import { FxMaterial, FxMaterialProps } from "../../../materials/core/FxMaterial"; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; +type PressureUniforms = { + bounce: { + value: boolean; + }; + deltaTime: { + value: number; + }; + pressure: { + value: THREE.Texture; + }; + velocity: { + value: THREE.Texture; + }; +}; +export type PressureValues = NestUniformValues<PressureUniforms>; +export type PressureValuesClient = Omit<PressureValues, "velocity" | "pressure">; +export declare class PressureMaterial extends FxMaterial { + static get type(): string; + uniforms: PressureUniforms; + constructor(props: FxMaterialProps<PressureValues>); +} +export {}; diff --git a/packages/use-shader-fx/types/materials/impl/fluid/SplatMaterial.d.ts b/packages/use-shader-fx/types/materials/impl/fluid/SplatMaterial.d.ts new file mode 100644 index 00000000..0981d591 --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/fluid/SplatMaterial.d.ts @@ -0,0 +1,25 @@ +import * as THREE from "three"; +import { FxMaterial, FxMaterialProps } from "../../../materials/core/FxMaterial"; +import { NestUniformValues } from "../../../shaders/uniformsUtils"; +type SplatUniforms = { + forceBias: { + value: number; + }; + radius: { + value: THREE.Vector2; + }; + force: { + value: THREE.Vector2; + }; + center: { + value: THREE.Vector2; + }; +}; +export type SplatValues = NestUniformValues<SplatUniforms>; +export type SplatValuesClient = Omit<SplatValues, "force" | "center">; +export declare class SplatMaterial extends FxMaterial { + static get type(): string; + uniforms: SplatUniforms; + constructor(props: FxMaterialProps); +} +export {}; diff --git a/packages/use-shader-fx/types/materials/impl/fluid/index.d.ts b/packages/use-shader-fx/types/materials/impl/fluid/index.d.ts new file mode 100644 index 00000000..99569454 --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/fluid/index.d.ts @@ -0,0 +1,7 @@ +export * from "./AdvectionMaterial"; +export * from "./DivergenceMaterial"; +export * from "./PressureMaterial"; +export * from "./PoissonMaterial"; +export * from "./SplatMaterial"; +export * from "./OutputMaterial"; +export const DELTA_TIME: 0.008; diff --git a/packages/use-shader-fx/types/materials/impl/fluid/shaders/vertex.d.ts b/packages/use-shader-fx/types/materials/impl/fluid/shaders/vertex.d.ts new file mode 100644 index 00000000..17a40e45 --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/fluid/shaders/vertex.d.ts @@ -0,0 +1,7 @@ +declare const vertex: { + main: string; + poisson: string; + advection: string; + splat: string; +}; +export default vertex; diff --git a/packages/use-shader-fx/types/materials/impl/grid/GridMaterial.d.ts b/packages/use-shader-fx/types/materials/impl/grid/GridMaterial.d.ts new file mode 100644 index 00000000..e5a1315c --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/grid/GridMaterial.d.ts @@ -0,0 +1,50 @@ +import * as THREE from "three"; +import { SamplingFxUniforms, SamplingFxValues, SamplingFxMaterial } from "../../core/SamplingFxMaterial"; +import { FxMaterialProps } from "../../core/FxMaterial"; +import { ExtractUniformValues, NestUniformValues, UniformParentKey } from "../../../shaders/uniformsUtils"; +type GridUniforms = { + /** グリッドのマス数 */ + count: { + value: THREE.Vector2; + }; + /** 自動で画面のアスペクト比に合わせて正方形にscaleする */ + autoScale: { + value: boolean; + }; + /** tick */ + tick: { + value: number; + }; + shuffle: { + value: UniformParentKey; + }; + shuffle_frequency: { + value: number; + }; + shuffle_range: { + value: number; + }; + /** スプライトテクスチャ */ + sprite: { + value: UniformParentKey; + }; + sprite_src: { + value: THREE.Texture; + }; + sprite_length: { + value: number; + }; + sprite_shuffleSpeed: { + value: number; + }; +} & SamplingFxUniforms; +export type GridValues = NestUniformValues<GridUniforms> & SamplingFxValues; +export type GridMaterialProps = ExtractUniformValues<GridUniforms>; +export declare class GridMaterial extends SamplingFxMaterial { + static get type(): string; + uniforms: GridUniforms; + constructor(props: FxMaterialProps<GridValues>); + /** When gridding with floor, you must use NearestFilter. */ + setNearestFilter(): void; +} +export {}; diff --git a/packages/use-shader-fx/types/materials/impl/grid/grid.glsl.d.ts b/packages/use-shader-fx/types/materials/impl/grid/grid.glsl.d.ts new file mode 100644 index 00000000..140a494f --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/grid/grid.glsl.d.ts @@ -0,0 +1,2 @@ +export declare const gridVertex: string; +export declare const gridFragment: string; diff --git a/packages/use-shader-fx/types/materials/impl/noise/NoiseMaterial.d.ts b/packages/use-shader-fx/types/materials/impl/noise/NoiseMaterial.d.ts new file mode 100644 index 00000000..3354cb65 --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/noise/NoiseMaterial.d.ts @@ -0,0 +1,52 @@ +import * as THREE from "three"; +import { BasicFxMaterial } from "../../core/BasicFxMaterial"; +import { FxMaterialProps } from "../../core/FxMaterial"; +import { BasicFxUniforms, BasicFxValues } from "../../core/BasicFxLib"; +import { ExtractUniformValues, NestUniformValues } from "../../../shaders/uniformsUtils"; +type NoiseUniforms = { + /** useBeatを渡せば、リズムを変えられる。 */ + tick: { + value: number; + }; + /** noise scale , default : `0.004` */ + scale: { + value: number; + }; + /** time factor default : `0.3` */ + timeStrength: { + value: number; + }; + /** noiseOctaves, affects performance default : `2` */ + noiseOctaves: { + value: number; + }; + /** fbmOctaves, affects performance default : `2` */ + fbmOctaves: { + value: number; + }; + /** domain warping octaves , affects performance default : `2` */ + warpOctaves: { + value: number; + }; + /** direction of domain warping , default : `(2.0,2,0)` */ + warpDirection: { + value: THREE.Vector2; + }; + /** strength of domain warping , default : `8.0` */ + warpStrength: { + value: number; + }; + /** offset of the time */ + timeOffset: { + value: number; + }; +} & BasicFxUniforms; +export type NoiseValues = NestUniformValues<NoiseUniforms> & BasicFxValues; +export type NoiseMaterialProps = ExtractUniformValues<NoiseUniforms>; +export declare class NoiseMaterial extends BasicFxMaterial { + static readonly key: string; + static get type(): string; + uniforms: NoiseUniforms; + constructor(props?: FxMaterialProps<NoiseValues>); +} +export {}; diff --git a/packages/use-shader-fx/types/materials/impl/noise/noise.glsl.d.ts b/packages/use-shader-fx/types/materials/impl/noise/noise.glsl.d.ts new file mode 100644 index 00000000..cfda7664 --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/noise/noise.glsl.d.ts @@ -0,0 +1,2 @@ +export declare const noiseVertex: string; +export declare const noiseFragment: string; diff --git a/packages/use-shader-fx/types/materials/impl/rawBlank/RawBlankMaterial.d.ts b/packages/use-shader-fx/types/materials/impl/rawBlank/RawBlankMaterial.d.ts new file mode 100644 index 00000000..e7ca57ea --- /dev/null +++ b/packages/use-shader-fx/types/materials/impl/rawBlank/RawBlankMaterial.d.ts @@ -0,0 +1,5 @@ +import { FxMaterial, FxMaterialProps } from "../../core/FxMaterial"; +export declare class RawBlankMaterial extends FxMaterial { + static get type(): string; + constructor(props: FxMaterialProps); +} diff --git a/packages/use-shader-fx/types/materials/index.d.ts b/packages/use-shader-fx/types/materials/index.d.ts new file mode 100644 index 00000000..628a12fb --- /dev/null +++ b/packages/use-shader-fx/types/materials/index.d.ts @@ -0,0 +1,7 @@ +export * from "./core/BasicFxLib"; +export * from "./impl/noise/NoiseMaterial"; +export * from "./impl/buffer/BufferMaterial"; +export * from "./impl/rawBlank/RawBlankMaterial"; +export * from "./impl/blank/BlankMaterial"; +export * from "./impl/grid/GridMaterial"; +export * as FluidMaterials from "./impl/fluid"; diff --git a/packages/use-shader-fx/types/misc/index.d.ts b/packages/use-shader-fx/types/misc/index.d.ts new file mode 100644 index 00000000..be8693c0 --- /dev/null +++ b/packages/use-shader-fx/types/misc/index.d.ts @@ -0,0 +1,3 @@ +export * from "./useBeat"; +export * from "./usePointerTracker"; +export * from "./useWindowPointer"; diff --git a/packages/use-shader-fx/types/misc/useCopyTexture.d.ts b/packages/use-shader-fx/types/misc/useCopyTexture.d.ts deleted file mode 100644 index 2ca5360f..00000000 --- a/packages/use-shader-fx/types/misc/useCopyTexture.d.ts +++ /dev/null @@ -1,17 +0,0 @@ -import * as THREE from "three"; -import { UseFboProps } from "../utils/useSingleFBO"; -type UpdateCopyFunction = (gl: THREE.WebGLRenderer, index: number, -/** call before FBO is rendered */ -onBeforeRender?: ({ read }: { - read: THREE.Texture; -}) => void) => THREE.Texture; -type UseCopyTextureReturn = [THREE.WebGLRenderTarget[], UpdateCopyFunction]; -/** - * Generate an FBO array to copy the texture. - * @param dpr If dpr is set, dpr will be multiplied, default : `false` - * @param isSizeUpdate Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default : `false` - * @param length The number of FBOs to create - * @returns [THREE.WebGLRenderTarget[] , updateCopyTexture] - Receives the RenderTarget array as the first argument and the update function as the second argument. `updateCopyTexture()` receives gl as the first argument and the index of the texture you want to copy as the second argument. - */ -export declare const useCopyTexture: (props: UseFboProps, length: number) => UseCopyTextureReturn; -export {}; diff --git a/packages/use-shader-fx/types/misc/useDomSyncer/index.d.ts b/packages/use-shader-fx/types/misc/useDomSyncer/index.d.ts deleted file mode 100644 index 1443e756..00000000 --- a/packages/use-shader-fx/types/misc/useDomSyncer/index.d.ts +++ /dev/null @@ -1,45 +0,0 @@ -import * as THREE from "three"; -import { Key } from "react"; -import { HooksProps, HooksReturn } from "../../fxs/types"; -import { IsIntersecting } from "./utils/useIsIntersecting"; -import { UseDomView } from "./utils/createUseDomView"; -import { CustomParams } from "../../utils/setUniforms"; -export type DomSyncerParams = { - /** DOM array you want to synchronize */ - dom?: (HTMLElement | Element | null)[]; - /** Texture array that you want to synchronize with the DOM rectangle */ - texture?: THREE.Texture[]; - /** default : `0.0[]` */ - boderRadius?: number[]; - /** the angle you want to rotate */ - rotation?: THREE.Euler[]; - /** Array of callback functions when crossed */ - onIntersect?: ((entry: IntersectionObserverEntry) => void)[]; - /** Because DOM rendering and React updates occur asynchronously, there may be a lag between updating dependent arrays and setting DOM arrays. That's what the Key is for. If the dependent array is updated but the Key is not, the loop will skip and return an empty texture. By updating the timing key when DOM acquisition is complete, you can perfectly synchronize DOM and Mesh updates.updateKey must be a unique value for each update, for example `performance.now()`.*/ - updateKey?: Key; -}; -export type DomSyncerObject = { - scene: THREE.Scene; - camera: THREE.Camera; - renderTarget: THREE.WebGLRenderTarget; - output: THREE.Texture; - /** - * A function that returns a determination whether the DOM intersects or not. - * The boolean will be updated after executing the onIntersect function. - * @param index - Index of the dom for which you want to return an intersection decision. -1 will return the entire array. - * @param once - If set to true, it will continue to return true once crossed. - */ - isIntersecting: IsIntersecting; - /** target's DOMRect[] */ - DOMRects: DOMRect[]; - /** target's intersetions boolean[] */ - intersections: boolean[]; - /** You can set callbacks for when at least one DOM is visible and when it is completely hidden. */ - useDomView: UseDomView; -}; -export declare const DOMSYNCER_PARAMS: DomSyncerParams; -/** - * @link https://github.com/FunTechInc/use-shader-fx?tab=readme-ov-file#usedomsyncer - * @param dependencies - When this dependency array is changed, the mesh and intersection judgment will be updated according to the passed DOM array. - */ -export declare const useDomSyncer: ({ size, dpr, isSizeUpdate, renderTargetOptions, onBeforeInit }: HooksProps, dependencies?: import("react").DependencyList) => HooksReturn<DomSyncerParams, DomSyncerObject, CustomParams>; diff --git a/packages/use-shader-fx/types/misc/useDomSyncer/utils/createMesh.d.ts b/packages/use-shader-fx/types/misc/useDomSyncer/utils/createMesh.d.ts deleted file mode 100644 index aa9e2ec5..00000000 --- a/packages/use-shader-fx/types/misc/useDomSyncer/utils/createMesh.d.ts +++ /dev/null @@ -1,24 +0,0 @@ -import * as THREE from "three"; -import { DomSyncerParams } from "../"; -import { MaterialProps, Size } from "../../../fxs/types"; -export declare class DomSyncerMaterial extends THREE.ShaderMaterial { - uniforms: { - u_texture: { - value: THREE.Texture; - }; - u_textureResolution: { - value: THREE.Vector2; - }; - u_resolution: { - value: THREE.Vector2; - }; - u_borderRadius: { - value: number; - }; - }; -} -export declare const createMesh: ({ params, scene, onBeforeInit, }: { - params: DomSyncerParams; - size: Size; - scene: THREE.Scene; -} & MaterialProps) => void; diff --git a/packages/use-shader-fx/types/misc/useDomSyncer/utils/createUseDomView.d.ts b/packages/use-shader-fx/types/misc/useDomSyncer/utils/createUseDomView.d.ts deleted file mode 100644 index 7e5535e2..00000000 --- a/packages/use-shader-fx/types/misc/useDomSyncer/utils/createUseDomView.d.ts +++ /dev/null @@ -1,6 +0,0 @@ -export type UseDomViewProps = { - onView?: () => void; - onHidden?: () => void; -}; -export type UseDomView = (props: UseDomViewProps) => void; -export declare const createUseDomView: (isIntersectingRef: React.MutableRefObject<boolean[]>) => UseDomView; diff --git a/packages/use-shader-fx/types/misc/useDomSyncer/utils/errorHandler.d.ts b/packages/use-shader-fx/types/misc/useDomSyncer/utils/errorHandler.d.ts deleted file mode 100644 index 657c3b43..00000000 --- a/packages/use-shader-fx/types/misc/useDomSyncer/utils/errorHandler.d.ts +++ /dev/null @@ -1,2 +0,0 @@ -import { DomSyncerParams } from ".."; -export declare const errorHandler: (params: DomSyncerParams) => boolean; diff --git a/packages/use-shader-fx/types/misc/useDomSyncer/utils/useIntersectionHandler.d.ts b/packages/use-shader-fx/types/misc/useDomSyncer/utils/useIntersectionHandler.d.ts deleted file mode 100644 index cd25a98a..00000000 --- a/packages/use-shader-fx/types/misc/useDomSyncer/utils/useIntersectionHandler.d.ts +++ /dev/null @@ -1,6 +0,0 @@ -import { DomSyncerParams } from ".."; -export declare const useIntersectionHandler: () => ({ isIntersectingRef, isIntersectingOnceRef, params, }: { - isIntersectingRef: React.MutableRefObject<boolean[]>; - isIntersectingOnceRef: React.MutableRefObject<boolean[]>; - params: DomSyncerParams; -}) => void; diff --git a/packages/use-shader-fx/types/misc/useDomSyncer/utils/useIsIntersecting.d.ts b/packages/use-shader-fx/types/misc/useDomSyncer/utils/useIsIntersecting.d.ts deleted file mode 100644 index ccc3f896..00000000 --- a/packages/use-shader-fx/types/misc/useDomSyncer/utils/useIsIntersecting.d.ts +++ /dev/null @@ -1,7 +0,0 @@ -/// <reference types="react" /> -export type IsIntersecting = (index: number, once?: boolean) => boolean[] | boolean; -export declare const useIsIntersecting: () => { - isIntersectingRef: import("react").MutableRefObject<boolean[]>; - isIntersectingOnceRef: import("react").MutableRefObject<boolean[]>; - isIntersecting: IsIntersecting; -}; diff --git a/packages/use-shader-fx/types/misc/useDomSyncer/utils/useUpdateDomRect.d.ts b/packages/use-shader-fx/types/misc/useDomSyncer/utils/useUpdateDomRect.d.ts deleted file mode 100644 index 7f942ba5..00000000 --- a/packages/use-shader-fx/types/misc/useDomSyncer/utils/useUpdateDomRect.d.ts +++ /dev/null @@ -1,16 +0,0 @@ -/// <reference types="react" /> -import * as THREE from "three"; -import { DomSyncerParams } from ".."; -import { CustomParams } from "../../../utils/setUniforms"; -import { Size } from "../../../fxs/types"; -type UpdateDomRect = ({ params, customParams, size, resolutionRef, scene, isIntersectingRef, }: { - params: DomSyncerParams; - customParams?: CustomParams; - size: Size; - resolutionRef: React.MutableRefObject<THREE.Vector2>; - scene: THREE.Scene; - isIntersectingRef: React.MutableRefObject<boolean[]>; -}) => void; -type UseUpdateDomRectReturn = [DOMRect[], UpdateDomRect]; -export declare const useUpdateDomRect: () => UseUpdateDomRectReturn; -export {}; diff --git a/packages/use-shader-fx/types/misc/useFPSLimiter.d.ts b/packages/use-shader-fx/types/misc/useFPSLimiter.d.ts deleted file mode 100644 index d3433567..00000000 --- a/packages/use-shader-fx/types/misc/useFPSLimiter.d.ts +++ /dev/null @@ -1,14 +0,0 @@ -import * as THREE from "three"; -/** - * @param fps FPS you want to limit , default : `60` - * - * ```tsx - * const limiter = useFPSLimiter(fps); - * useFrame((props) => { - * if (limiter(props.clock)) { - * //some code - * } - * }); - * ``` - */ -export declare const useFPSLimiter: (fps?: number) => (clock: THREE.Clock) => boolean; diff --git a/packages/use-shader-fx/types/misc/usePipeline.d.ts b/packages/use-shader-fx/types/misc/usePipeline.d.ts new file mode 100644 index 00000000..e69de29b diff --git a/packages/use-shader-fx/types/misc/usePointer.d.ts b/packages/use-shader-fx/types/misc/usePointerTracker.d.ts similarity index 82% rename from packages/use-shader-fx/types/misc/usePointer.d.ts rename to packages/use-shader-fx/types/misc/usePointerTracker.d.ts index 3d13a115..044f339e 100644 --- a/packages/use-shader-fx/types/misc/usePointer.d.ts +++ b/packages/use-shader-fx/types/misc/usePointerTracker.d.ts @@ -6,11 +6,11 @@ export type PointerValues = { velocity: THREE.Vector2; isVelocityUpdate: boolean; }; -type UpdatePointer = (currentPointer: THREE.Vector2) => PointerValues; +type PointerTracker = (currentPointer: THREE.Vector2) => PointerValues; /** * @description When given the pointer vector2 from r3f's RootState, it generates an update function that returns {`currentPointer`, `prevPointer`, `diffPointer`, `isVelocityUpdate`, `velocity`}. * @description When calling custom in a `useFrame` loop, you can avoid duplication of execution by passing `pointerValues` to the update function of a Pointer-activated fxHook, such as `useBrush`. * @param lerp 0~1, lerp intensity (0 to less than 1) , default : `0` */ -export declare const usePointer: (lerp?: number) => UpdatePointer; +export declare const usePointerTracker: (lerp?: number) => PointerTracker; export {}; diff --git a/packages/use-shader-fx/types/misc/useWindowPointer.d.ts b/packages/use-shader-fx/types/misc/useWindowPointer.d.ts new file mode 100644 index 00000000..57548c1e --- /dev/null +++ b/packages/use-shader-fx/types/misc/useWindowPointer.d.ts @@ -0,0 +1,7 @@ +import * as THREE from "three"; +import { Size } from "../hooks/types"; +/** + * @param size Size + * @returns THREE.Vector2 + */ +export declare const useWindowPointer: (size: Size) => THREE.Vector2; diff --git a/packages/use-shader-fx/types/shaders/ShaderChunk.d.ts b/packages/use-shader-fx/types/shaders/ShaderChunk.d.ts new file mode 100644 index 00000000..c684c808 --- /dev/null +++ b/packages/use-shader-fx/types/shaders/ShaderChunk.d.ts @@ -0,0 +1,4 @@ +export type ShaderChunkTypes = "default_pars_fragment" | "srcSystem_pars_vertex" | "srcSystem_pars_fragment" | "default_pars_vertex" | "default_vertex" | "plane_vertex" | "mixSrc_fragment_begin" | "mixSrc_fragment_end" | "mixSrc_pars_fragment" | "mixSrc_pars_vertex" | "mixSrc_vertex" | "mixDst_fragment" | "mixDst_pars_fragment" | "mixDst_pars_vertex" | "mixDst_vertex" | "texture_pars_fragment" | "texture_pars_vertex" | "texture_vertex" | "adjustments_fragment" | "adjustments_pars_fragment" | "calcSrcUv"; +export declare const ShaderChunk: { + [K in ShaderChunkTypes]: string; +}; diff --git a/packages/use-shader-fx/types/shaders/ShaderLib.d.ts b/packages/use-shader-fx/types/shaders/ShaderLib.d.ts new file mode 100644 index 00000000..df2c3e68 --- /dev/null +++ b/packages/use-shader-fx/types/shaders/ShaderLib.d.ts @@ -0,0 +1,4 @@ +export type ShaderLibTypes = "plane_vertex" | "default_vertex" | "default_pars_vertex" | "default_pars_fragment" | "basicFx_vertex" | "basicFx_pars_vertex" | "basicFx_pars_fragment" | "basicFx_fragment_begin" | "basicFx_fragment_end" | "samplingFx_vertex" | "samplingFx_pars_vertex" | "samplingFx_pars_fragment"; +export declare const ShaderLib: { + [K in ShaderLibTypes]: string; +}; diff --git a/packages/use-shader-fx/types/shaders/shaderUtils.d.ts b/packages/use-shader-fx/types/shaders/shaderUtils.d.ts new file mode 100644 index 00000000..a5d8c3c5 --- /dev/null +++ b/packages/use-shader-fx/types/shaders/shaderUtils.d.ts @@ -0,0 +1,10 @@ +/** merge shader codes */ +export declare function mergeShaderCode(prefix: string[]): string; +export type ShaderLibType = "default" | "basicFx" | "samplingFx"; +/** + * merge ShaderLib to shader + * basicFx_fragment_begin, basicFx_fragment_endは含まない。これらは各FXでカスタマイズする必要があるため。 + */ +export declare function mergeShaderLib(vertexShader: string | undefined, fragmentShader: string | undefined, type: ShaderLibType): [string | undefined, string | undefined]; +/** Resolve Includes */ +export declare function resolveIncludes(string: string): string; diff --git a/packages/use-shader-fx/types/shaders/uniformsUtils.d.ts b/packages/use-shader-fx/types/shaders/uniformsUtils.d.ts new file mode 100644 index 00000000..3ebb851a --- /dev/null +++ b/packages/use-shader-fx/types/shaders/uniformsUtils.d.ts @@ -0,0 +1,39 @@ +import * as THREE from "three"; +export type Uniforms = { + [uniform: string]: THREE.IUniform<any>; +}; +/** typescriptトリックで{}を許容しているが、実際にuniformに渡る際にはbooleanのみ */ +export type UniformParentKey = boolean | {}; +export type ShaderWithUniforms = { + uniforms?: Uniforms; + vertexShader?: string; + fragmentShader?: string; +}; +/** + * test:{value:number} => test:number + * materialのprops型を定義する + * materialにはuniformsのsetter/getterが定義されている.その型推論のため. + */ +export type ExtractUniformValues<T> = { + [K in keyof T]?: T[K] extends { + value: infer U; + } ? U : never; +}; +/** + * test_test:{value:number} => { test: { test: number | (value:number)=>number } } + */ +type Nest<K extends string, V> = K extends `${infer First}_${infer Rest}` ? { + [P in First]?: Nest<Rest, V>; +} : { + [P in K]?: V | ((value: V) => V); +}; +type UnionToIntersection<U> = (U extends any ? (k: U) => void : never) extends (k: infer I) => void ? I : never; +export type NestUniformValues<U extends Uniforms> = UnionToIntersection<{ + [K in keyof U]: Nest<Extract<K, string>, U[K]["value"]>; +}[keyof U]>; +/** + * {test:{test:1}} => {test_test:1} に変換する + * この時、条件分岐用uniform値として親のkey{test:true}を追加する + */ +export declare function flattenUniformValues(obj: Record<string, any>): Record<string, any>; +export {}; diff --git a/packages/use-shader-fx/types/utils/createMaterialParameters.d.ts b/packages/use-shader-fx/types/utils/createMaterialParameters.d.ts deleted file mode 100644 index 70f35f3f..00000000 --- a/packages/use-shader-fx/types/utils/createMaterialParameters.d.ts +++ /dev/null @@ -1,2 +0,0 @@ -import { OnBeforeInitParameters } from "../fxs/types"; -export declare const createMaterialParameters: (parameters: OnBeforeInitParameters, onBeforeInit?: ((parameters: OnBeforeInitParameters) => void) | undefined) => OnBeforeInitParameters; diff --git a/packages/use-shader-fx/types/utils/getDpr.d.ts b/packages/use-shader-fx/types/utils/getDpr.d.ts index fb38dcca..57928b5c 100644 --- a/packages/use-shader-fx/types/utils/getDpr.d.ts +++ b/packages/use-shader-fx/types/utils/getDpr.d.ts @@ -1,4 +1,4 @@ -import { Dpr } from "../fxs/types"; +import { Dpr } from "../hooks/types"; export declare const getDpr: (dpr: Dpr) => { shader: number | false; fbo: number | false; diff --git a/packages/use-shader-fx/types/utils/index.d.ts b/packages/use-shader-fx/types/utils/index.d.ts new file mode 100644 index 00000000..ea3c69bb --- /dev/null +++ b/packages/use-shader-fx/types/utils/index.d.ts @@ -0,0 +1,8 @@ +export * from "./getDpr"; +export * from "./useCamera"; +export * from "./useDoubleFBO"; +export * from "./useSetup"; +export * from "./useMutableState"; +export * from "./useResolution"; +export * from "./useSingleFBO"; +export * from "./warn"; diff --git a/packages/use-shader-fx/types/utils/setUniforms.d.ts b/packages/use-shader-fx/types/utils/setUniforms.d.ts deleted file mode 100644 index 306c48b8..00000000 --- a/packages/use-shader-fx/types/utils/setUniforms.d.ts +++ /dev/null @@ -1,17 +0,0 @@ -import * as THREE from "three"; -type UniformValue = THREE.CubeTexture | THREE.Texture | Int32Array | Float32Array | THREE.Matrix4 | THREE.Matrix3 | THREE.Quaternion | THREE.Vector4 | THREE.Vector3 | THREE.Vector2 | THREE.Color | number | boolean | Array<any> | null | undefined; -type UniformObject = { - [key: string]: { - value: UniformValue; - }; -}; -export declare const setUniform: <T extends UniformObject>(material: { - uniforms: T; -}) => (key: keyof T, value: UniformValue) => void; -export type CustomParams = { - [uniform: string]: UniformValue; -}; -export declare const setCustomUniform: (material: { - uniforms: UniformObject; -}) => (customParams: CustomParams | undefined) => void; -export {}; diff --git a/packages/use-shader-fx/types/utils/useAddMesh.d.ts b/packages/use-shader-fx/types/utils/useAddMesh.d.ts deleted file mode 100644 index e00d3d01..00000000 --- a/packages/use-shader-fx/types/utils/useAddMesh.d.ts +++ /dev/null @@ -1,3 +0,0 @@ -import * as THREE from "three"; -/** Generate mesh from geometry and material and add to scene */ -export declare const useAddMesh: (scene: THREE.Scene, geometry: THREE.BufferGeometry, material: THREE.Material) => THREE.Mesh<THREE.BufferGeometry<THREE.NormalBufferAttributes>, THREE.Material, THREE.Object3DEventMap>; diff --git a/packages/use-shader-fx/types/utils/useCamera.d.ts b/packages/use-shader-fx/types/utils/useCamera.d.ts index 4d01d7eb..fa71d56d 100644 --- a/packages/use-shader-fx/types/utils/useCamera.d.ts +++ b/packages/use-shader-fx/types/utils/useCamera.d.ts @@ -1,3 +1,3 @@ import * as THREE from "three"; -import { Size } from "../fxs/types"; +import { Size } from "../hooks/types"; export declare const useCamera: (size: Size, cameraType?: "OrthographicCamera" | "PerspectiveCamera") => THREE.OrthographicCamera | THREE.PerspectiveCamera; diff --git a/packages/use-shader-fx/types/utils/useDoubleFBO.d.ts b/packages/use-shader-fx/types/utils/useDoubleFBO.d.ts index bcd8554f..5d20c0b6 100644 --- a/packages/use-shader-fx/types/utils/useDoubleFBO.d.ts +++ b/packages/use-shader-fx/types/utils/useDoubleFBO.d.ts @@ -1,10 +1,10 @@ import * as THREE from "three"; -import { UseFboProps } from "./useSingleFBO"; +import { UseFboProps, RenderProps } from "./useSingleFBO"; export type DoubleRenderTarget = { read: THREE.WebGLRenderTarget; write: THREE.WebGLRenderTarget; }; -type FBOUpdateFunction = (gl: THREE.WebGLRenderer, +export type DoubleFBOUpdateFunction = (renderProps: RenderProps, /** call before FBO is rendered */ onBeforeRender?: ({ read, write, }: { read: THREE.Texture; @@ -15,7 +15,7 @@ type UseDoubleFBOReturn = [ read: THREE.WebGLRenderTarget; write: THREE.WebGLRenderTarget; }, - FBOUpdateFunction + DoubleFBOUpdateFunction ]; /** * @description Custom hook for setting up double buffering with WebGL render targets. diff --git a/packages/use-shader-fx/types/utils/useMutableState.d.ts b/packages/use-shader-fx/types/utils/useMutableState.d.ts new file mode 100644 index 00000000..c3f3a3d1 --- /dev/null +++ b/packages/use-shader-fx/types/utils/useMutableState.d.ts @@ -0,0 +1 @@ +export declare const useMutableState: <S>(state: S) => readonly [import("react").MutableRefObject<S>, (value: S | ((prevState: S) => S)) => void]; diff --git a/packages/use-shader-fx/types/utils/useAddObject.d.ts b/packages/use-shader-fx/types/utils/useObject3D.d.ts similarity index 50% rename from packages/use-shader-fx/types/utils/useAddObject.d.ts rename to packages/use-shader-fx/types/utils/useObject3D.d.ts index 99a407f6..952c7870 100644 --- a/packages/use-shader-fx/types/utils/useAddObject.d.ts +++ b/packages/use-shader-fx/types/utils/useObject3D.d.ts @@ -3,5 +3,5 @@ type Object3DConstructor<T, M extends THREE.Material> = new (geometry: THREE.Buf /** * Add geometry and material to Object3D and add them to scene. */ -export declare const useAddObject: <T extends THREE.Object3D<THREE.Object3DEventMap>, M extends THREE.Material>(scene: THREE.Scene | false, geometry: THREE.BufferGeometry, material: M, Proto: Object3DConstructor<T, M>) => T; +export declare const useObject3D: <T extends THREE.Object3D, M extends THREE.Material>(scene: THREE.Scene | false, geometry: THREE.BufferGeometry, material: M, Proto: Object3DConstructor<T, M>) => T; export {}; diff --git a/packages/use-shader-fx/types/utils/useParams.d.ts b/packages/use-shader-fx/types/utils/useParams.d.ts deleted file mode 100644 index 012d0b59..00000000 --- a/packages/use-shader-fx/types/utils/useParams.d.ts +++ /dev/null @@ -1,7 +0,0 @@ -type SetParams<T> = (newParams?: Partial<T>) => void; -type UseParamsReturn<T> = [T, SetParams<T>]; -/** - * @param params Receives an initial value object. With structuredClone, deep copy and set, but if the object contains a function, just set it. - */ -export declare const useParams: <T extends object>(params: T) => UseParamsReturn<T>; -export {}; diff --git a/packages/use-shader-fx/types/utils/useResizeBoundary.d.ts b/packages/use-shader-fx/types/utils/useResizeBoundary.d.ts deleted file mode 100644 index c25f350d..00000000 --- a/packages/use-shader-fx/types/utils/useResizeBoundary.d.ts +++ /dev/null @@ -1,6 +0,0 @@ -import { Size } from "../fxs/types"; -export declare const useResizeBoundary: ({ size, boundFor, threshold, }: { - size: Size; - boundFor: "smaller" | "larger" | "both"; - threshold: number; -}) => boolean; diff --git a/packages/use-shader-fx/types/utils/useResolution.d.ts b/packages/use-shader-fx/types/utils/useResolution.d.ts index 9b2c7080..ed8a5984 100644 --- a/packages/use-shader-fx/types/utils/useResolution.d.ts +++ b/packages/use-shader-fx/types/utils/useResolution.d.ts @@ -1,5 +1,5 @@ import * as THREE from "three"; -import { Size } from "../fxs/types"; +import { Size } from "../hooks/types"; /** * @params dpr if dpr is set, it returns the resolution which is size multiplied by dpr. */ diff --git a/packages/use-shader-fx/types/utils/useSetup.d.ts b/packages/use-shader-fx/types/utils/useSetup.d.ts new file mode 100644 index 00000000..633c63c7 --- /dev/null +++ b/packages/use-shader-fx/types/utils/useSetup.d.ts @@ -0,0 +1,20 @@ +import * as THREE from "three"; +import { Size } from "../hooks/types"; +import { FxMaterial, FxMaterialProps } from "../materials/core/FxMaterial"; +type MaterialConstructor<M> = new (props: FxMaterialProps) => M; +type GeometryConstructor = new (width: number, height: number) => THREE.BufferGeometry; +export declare const useSetup: <M extends FxMaterial>({ size, dpr, material, geometry, geometrySize, ...materialProps }: { + size: Size; + dpr: number | false; + material: MaterialConstructor<M>; + geometry?: GeometryConstructor; + geometrySize?: { + width: number; + height: number; + }; +} & FxMaterialProps) => { + scene: THREE.Scene; + material: M; + camera: THREE.OrthographicCamera | THREE.PerspectiveCamera; +}; +export {}; diff --git a/packages/use-shader-fx/types/utils/useSingleFBO.d.ts b/packages/use-shader-fx/types/utils/useSingleFBO.d.ts index 9c1256c1..0cc43a84 100644 --- a/packages/use-shader-fx/types/utils/useSingleFBO.d.ts +++ b/packages/use-shader-fx/types/utils/useSingleFBO.d.ts @@ -1,34 +1,37 @@ import * as THREE from "three"; -import { Size } from "../fxs/types"; +import { Size } from "../hooks/types"; export declare const FBO_DEFAULT_OPTION: THREE.RenderTargetOptions; export type UseFboProps = { - scene: THREE.Scene; - camera: THREE.Camera; + scene?: THREE.Scene; + camera?: THREE.Camera; size: Size; /** If dpr is set, dpr will be multiplied, default : `false` */ dpr?: number | false; /** Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default : `false` */ - isSizeUpdate?: boolean; + fboAutoSetSize?: boolean; /** If set, the scene depth will be rendered into buffer.depthTexture. default : `false` */ depth?: boolean; } & THREE.RenderTargetOptions; -export declare const renderFBO: ({ gl, fbo, scene, camera, onBeforeRender, onSwap, }: { +export type RenderProps = { gl: THREE.WebGLRenderer; + scene?: THREE.Scene; + camera?: THREE.Camera; + clear?: boolean; +}; +export declare const renderFBO: ({ gl, fbo, scene, camera, clear, onBeforeRender, onSwap, }: { fbo: THREE.WebGLRenderTarget; - scene: THREE.Scene; - camera: THREE.Camera; onBeforeRender: () => void; - onSwap?: (() => void) | undefined; -}) => void; -type UpdateRenderTarget = (gl: THREE.WebGLRenderer, + onSwap?: () => void; +} & RenderProps) => void; +export type SingleFBOUpdateFunction = (renderProps: RenderProps, /** call before FBO is rendered */ onBeforeRender?: ({ read }: { read: THREE.Texture; }) => void) => THREE.Texture; -type UseSingleFBOReturn = [THREE.WebGLRenderTarget, UpdateRenderTarget]; +type UseSingleFBOReturn = [THREE.WebGLRenderTarget, SingleFBOUpdateFunction]; /** * @param dpr If dpr is set, dpr will be multiplied, default:false - * @param isSizeUpdate Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default:false + * @param fboAutoSetSize Whether to resize when resizing occurs. If isDpr is true, set FBO to setSize even if dpr is changed, default:false * @param depthBuffer Unlike the default in three.js, the default is `false`. * @returns [THREE.WebGLRenderTarget , updateFBO] -Receives the RenderTarget as the first argument and the update function as the second argument. */ diff --git a/packages/use-shader-fx/types/utils/warn.d.ts b/packages/use-shader-fx/types/utils/warn.d.ts new file mode 100644 index 00000000..e11ee960 --- /dev/null +++ b/packages/use-shader-fx/types/utils/warn.d.ts @@ -0,0 +1 @@ +export declare const warn: (text: string) => void; diff --git a/packages/use-shader-fx/vite.config.js b/packages/use-shader-fx/vite.config.js index 9ec99a03..473fb4c8 100644 --- a/packages/use-shader-fx/vite.config.js +++ b/packages/use-shader-fx/vite.config.js @@ -18,6 +18,10 @@ export default defineConfig({ external, output: { dir: "./build", + globals: { + three: "THREE", + react: "React", + }, }, }, sourcemap: true, diff --git a/public/0000868046_OG.JPG b/public/0000868046_OG.JPG new file mode 100644 index 00000000..b1161edb Binary files /dev/null and b/public/0000868046_OG.JPG differ diff --git a/public/ANRI_LOGO_WEB_EXPORT_V01.gltf b/public/ANRI_LOGO_WEB_EXPORT_V01.gltf new file mode 100644 index 00000000..b003f820 --- /dev/null +++ b/public/ANRI_LOGO_WEB_EXPORT_V01.gltf @@ -0,0 +1,157 @@ +{ + "asset":{ + "version":"2.0", + "generator":"Maxon Cinema 4D 2025.1.1 (#200000219)" + }, + "images":[{ + 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" 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" 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" 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\ No newline at end of file diff --git a/todo b/todo new file mode 100644 index 00000000..7ad24941 --- /dev/null +++ b/todo @@ -0,0 +1 @@ +- Next更新、homeとか更新、依存関係更新 \ No newline at end of file diff --git a/utils/fxMaterial.tsx b/utils/fxMaterial.tsx deleted file mode 100644 index 00581514..00000000 --- a/utils/fxMaterial.tsx +++ /dev/null @@ -1,44 +0,0 @@ -import * as THREE from "three"; -import { shaderMaterial } from "@react-three/drei"; - -declare global { - namespace JSX { - interface IntrinsicElements { - fxMaterial: any; - } - } -} - -export type FxMaterialProps = { - u_fx: THREE.Texture | null; - /** Set it to 0.0 if you want it to be transparent. */ - u_alpha: number | null; -}; - -export const FxMaterial = shaderMaterial( - { - u_fx: null, - u_alpha: 1.0, - }, - ` - varying vec2 vUv; - void main() { - vUv = uv; - gl_Position = vec4(position, 1.0); - } - `, - ` - precision highp float; - varying vec2 vUv; - uniform sampler2D u_fx; - uniform float u_alpha; - - void main() { - vec2 uv = vUv; - gl_FragColor = texture2D(u_fx, uv); - if(u_alpha > 0.0){ - gl_FragColor.a = u_alpha; - } - } - ` -); diff --git a/utils/useGUI.ts b/utils/useGUI.ts index b79d9b7c..507abd3c 100644 --- a/utils/useGUI.ts +++ b/utils/useGUI.ts @@ -1,18 +1,37 @@ -import { useCallback, useEffect, useMemo } from "react"; +import { useCallback, useEffect, useRef, RefObject } from "react"; import GUI from "lil-gui"; -export const useGUI = (setGUI: (gui: GUI) => void) => { - const gui = useMemo(() => new GUI({ closeFolders: true, width: 240 }), []); +export const useGUI = ( + setupGUI: (gui: GUI) => void, + title?: string, + container?: RefObject<HTMLDivElement> +) => { + const guiRef = useRef<GUI | null>(null); + useEffect(() => { - setGUI(gui); + const containerElement = container?.current; + if (!guiRef.current) { + guiRef.current = new GUI({ + closeFolders: true, + width: 240, + title, + autoPlace: !containerElement, + container: containerElement || undefined, + }); + setupGUI(guiRef.current); + } + return () => { - gui.destroy(); + guiRef.current?.destroy(); + guiRef.current = null; }; - }, [gui, setGUI]); + }, [setupGUI, title, container]); + const updateDisplays = useCallback(() => { - gui.folders.forEach((folder) => + guiRef.current?.folders.forEach((folder) => folder.controllers.forEach((controller) => controller.updateDisplay()) ); - }, [gui]); + }, []); + return updateDisplays; };