check in latest build

build/FaceLandmarks.d.ts

@@ -1,4 +1,6 @@
-import { Point } from './Point';
+import { FaceDetection } from './FaceDetection';
+import { IPoint, Point } from './Point';
+import { Rect } from './Rect';
 import { Dimensions } from './types';
 export declare class FaceLandmarks {
     protected _imageWidth: number;
@@ -11,4 +13,20 @@ export declare class FaceLandmarks {
     getImageHeight(): number;
     getPositions(): Point[];
     getRelativePositions(): Point[];
+    forSize<T extends FaceLandmarks>(width: number, height: number): T;
+    shift<T extends FaceLandmarks>(x: number, y: number): T;
+    shiftByPoint<T extends FaceLandmarks>(pt: IPoint): T;
+    /**
+     * Aligns the face landmarks after face detection from the relative positions of the faces
+     * bounding box, or it's current shift. This function should be used to align the face images
+     * after face detection has been performed, before they are passed to the face recognition net.
+     * This will make the computed face descriptor more accurate.
+     *
+     * @param detection (optional) The bounding box of the face or the face detection result. If
+     * no argument was passed the position of the face landmarks are assumed to be relative to
+     * it's current shift.
+     * @returns The bounding box of the aligned face.
+     */
+    align(detection?: FaceDetection | Rect): Rect;
+    protected getRefPointsForAlignment(): Point[];
 }

build/FullFaceDescription.d.ts

@@ -1,12 +1,12 @@
 import { FaceDetection } from './FaceDetection';
-import { FaceLandmarks68 } from './faceLandmarkNet/FaceLandmarks68';
+import { FaceLandmarks } from './FaceLandmarks';
 export declare class FullFaceDescription {
     private _detection;
     private _landmarks;
     private _descriptor;
-    constructor(_detection: FaceDetection, _landmarks: FaceLandmarks68, _descriptor: Float32Array);
+    constructor(_detection: FaceDetection, _landmarks: FaceLandmarks, _descriptor: Float32Array);
     readonly detection: FaceDetection;
-    readonly landmarks: FaceLandmarks68;
+    readonly landmarks: FaceLandmarks;
     readonly descriptor: Float32Array;
     forSize(width: number, height: number): FullFaceDescription;
 }

build/allFacesFactory.d.ts

@@ -1,6 +1,9 @@
 import { FaceDetectionNet } from './faceDetectionNet/FaceDetectionNet';
 import { FaceLandmarkNet } from './faceLandmarkNet/FaceLandmarkNet';
-import { FaceRecognitionNet } from './faceRecognitionNet/FaceRecognitionNet';
 import { FullFaceDescription } from './FullFaceDescription';
+import { Mtcnn } from './mtcnn/Mtcnn';
+import { MtcnnForwardParams } from './mtcnn/types';
+import { Rect } from './Rect';
 import { TNetInput } from './types';
-export declare function allFacesFactory(detectionNet: FaceDetectionNet, landmarkNet: FaceLandmarkNet, recognitionNet: FaceRecognitionNet): (input: TNetInput, minConfidence: number, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
+export declare function allFacesFactory(detectionNet: FaceDetectionNet, landmarkNet: FaceLandmarkNet, computeDescriptors: (input: TNetInput, alignedFaceBoxes: Rect[], useBatchProcessing: boolean) => Promise<Float32Array[]>): (input: TNetInput, minConfidence: number, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
+export declare function allFacesMtcnnFactory(mtcnn: Mtcnn, computeDescriptors: (input: TNetInput, alignedFaceBoxes: Rect[], useBatchProcessing: boolean) => Promise<Float32Array[]>): (input: TNetInput, mtcnnForwardParams: MtcnnForwardParams, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;