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ImageGenerator.html
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<!DOCTYPE html>
<html lang="en-US">
<head>
<meta charset="UTF-8">
<title>Frankenstein's Telephone - Image uploader with Chained RunwayML models</title>
<script src="https://cdn.jsdelivr.net/npm/@runwayml/hosted-models@latest/dist/hosted-models.js"></script>
<style type="text/css">
.noshow { visibility: hidden }
</style>
</head>
<body onload="wakeUp()">
<h3>Frankenstein's Telephone photo uploader</h3>
Take or Upload a photo to start:<br>
<input id="inp" type='file'>
<img class="noshow" id="imgUpload" height="10">
<img id="img" height="300" src=" ">
<button id="start" onclick="deepLabModelSelfie()">Segment Image</button>
<img id=deepLab src="../images/placeholder.png" width="300" height="300"><button id=spadeButton onclick="spadeCocoModel()">Generate new image</button><br/>
<img id=spadeCoco src="../images/placeholder.png" width="300" height="300"><button id=imtxtButton onclick="imTxtModel()">Generate Caption</button><br/>
<p id=imTxt> </p>
</div>
<script>
// Start the hosted models waking up
function wakeUp() {
var model = new rw.HostedModel({
url: "YourURLGoesHere",
});
console.log("deeplab waking up")
var model = new rw.HostedModel({
url: "YourURLGoesHere",
});
console.log("spadeCoco waking up")
var model = new rw.HostedModel({
url: "YourURLGoesHere",
});
console.log("im2txt waking up")
}
// upload file as a base64 image
// upload file as a base64 image
function readFile() {
if (this.files && this.files[0]) {
var FR= new FileReader();
FR.addEventListener("load", function(e) {
document.getElementById("imgUpload").src = e.target.result;
//document.getElementById("b64").innerHTML = e.target.result;
});
FR.readAsDataURL( this.files[0] );
}
}
document.getElementById("inp").addEventListener("change", readFile);
document.getElementById('imgUpload').onchange = function (e) {
var loadingImage = loadImage(
e.target.files[0],
function (img) {
document.getElementById("img").src = img.toDataURL();
},
{orientation: 1}
);
//if (!loadingImage) {
// Alternative code ...
//}
};
var originalImage = document.getElementById("imgUpload"),
resetImage = document.getElementById("img");
function readFile() {
if (this.files && this.files[0]) {
var FR= new FileReader();
FR.addEventListener("load", function(e) {
// Here is the code that gets called when the JS first gets its hands on the image.
const rawImageData = e.target.result;
// Set the "original" view:
document.getElementById("imgUpload").src = rawImageData;
// Should be able to do rotation right here.
resetOrientation(rawImageData, 1, function(resetBase64Image) {
console.log( resetBase64Image );
resetImage.src = resetBase64Image;
console.log("rotated image")
});
} );
FR.readAsDataURL( this.files[0] );
}
}
// call file loader when the user picks a file to upload.
document.getElementById("inp").addEventListener("change", readFile);
//rotate orientation
function resetOrientation(srcBase64, srcOrientation, callback) {
var img = new Image();
img.onload = function() {
var width = img.width,
height = img.height,
canvas = document.createElement('canvas'),
ctx = canvas.getContext("2d");
// set proper canvas dimensions before transform & export
if (4 < srcOrientation && srcOrientation < 9) {
canvas.width = height;
canvas.height = width;
} else {
canvas.width = width;
canvas.height = height;
}
// transform context before drawing image
switch (srcOrientation) {
case 2: ctx.transform(-1, 0, 0, 1, width, 0); break;
case 3: ctx.transform(-1, 0, 0, -1, width, height ); break;
case 4: ctx.transform(1, 0, 0, -1, 0, height ); break;
case 5: ctx.transform(0, 1, 1, 0, 0, 0); break;
case 6: ctx.transform(0, 1, -1, 0, height , 0); break;
case 7: ctx.transform(0, -1, -1, 0, height , width); break;
case 8: ctx.transform(0, -1, 1, 0, 0, width); break;
default: break;
}
// draw image
ctx.drawImage(img, 0, 0);
// export base64
callback(canvas.toDataURL('image/jpeg'));
//canvas.toBlob('image/jpeg', 0.15);
};
img.src = srcBase64;
}
// start deeplab model
function deepLabModelSelfie(){
console.log("deeplab loading")
document.getElementById("deepLab")
.setAttribute(
"src", "loadingcircle.gif",
"alt", "Loading",
);
const model = new rw.HostedModel({
url: "YourURLGoesHere",
});
console.log("deeplab loaded")
var result = document.getElementById("img").src;
var image
//console.log(result)
//You can use the info() method to see what type of input object the model expects
//model.info().then(info => console.log(info));
const inputs = {
"image": result
};
model.query(inputs).then(outputs => {
const { image } = outputs;
// this changes a placeholder image rather than creating a new one. setAttribute is for changing a base64 image
document.getElementById("deepLab")
.setAttribute(
"src", image,
"alt", "DeepLab segmentation produced from caption",
);
var img = document.getElementById('deepLab');
//Code for adding a new image instead
// document.body.appendChild(img);
//img.src = event.target.result;
// var originalImage = document.getElementById("deepLab"),
//resetImage = document.getElementById("deepLab");
//resetOrientation(originalImage.src, 5, function(resetBase64Image) {
// resetImage.src = resetBase64Image;
// });
});
};
document.getElementById("deepLab").addEventListener("change", spadeCocoModel);
// run spade COCO
function spadeCocoModel(){
document.getElementById("spadeCoco")
.setAttribute(
"src", "loadingcircle.gif",
"alt", "Loading",
);
var convert = document.getElementById("deepLab").src;
const model = new rw.HostedModel({
url: "YourURLGoesHere",
});
console.log("spadecoco loaded")
// You can use the info() method to see what type of input object the model expects
// model.info().then(info => console.log(info));
const inputs = {
"semantic_map": convert
};
model.query(inputs).then(outputs => {
const { output } = outputs;
// use the outputs in your project
// console.log(output)
document.getElementById("spadeCoco")
.setAttribute(
"src", output,
"alt", "SpadeCoco image produced from segmented work",
);
});
}
document.getElementById("spadeCoco").addEventListener("change", imTxtModel);
//run im2txt
function imTxtModel(){
document.getElementById("imTxt").innerHTML = "loading..."
var image = document.getElementById("spadeCoco").src;
const model = new rw.HostedModel({
url: "YourURLGoesHere",
});
console.log("im2txt loaded")
//// You can use the info() method to see what type of input object the model expects
model.info().then(info => console.log(info));
const inputs = {
"image": image
};
model.query(inputs).then(outputs => {
const { caption } = outputs;
console.log(caption)
document.getElementById("imTxt").innerHTML = caption
// use the outputs in your project
});
}
</script>
</body>
</html>