79 lines
3.5 KiB
JavaScript
79 lines
3.5 KiB
JavaScript
import { minBbox } from '../ops';
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import { getCenterPoint } from '../utils';
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import { Box } from './Box';
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import { Dimensions } from './Dimensions';
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import { FaceDetection } from './FaceDetection';
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import { Point } from './Point';
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import { Rect } from './Rect';
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// face alignment constants
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const relX = 0.5;
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const relY = 0.43;
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const relScale = 0.45;
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export class FaceLandmarks {
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constructor(relativeFaceLandmarkPositions, imgDims, shift = new Point(0, 0)) {
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const { width, height } = imgDims;
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this._imgDims = new Dimensions(width, height);
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this._shift = shift;
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this._positions = relativeFaceLandmarkPositions.map(pt => pt.mul(new Point(width, height)).add(shift));
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}
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get shift() { return new Point(this._shift.x, this._shift.y); }
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get imageWidth() { return this._imgDims.width; }
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get imageHeight() { return this._imgDims.height; }
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get positions() { return this._positions; }
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get relativePositions() {
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return this._positions.map(pt => pt.sub(this._shift).div(new Point(this.imageWidth, this.imageHeight)));
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}
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forSize(width, height) {
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return new this.constructor(this.relativePositions, { width, height });
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}
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shiftBy(x, y) {
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return new this.constructor(this.relativePositions, this._imgDims, new Point(x, y));
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}
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shiftByPoint(pt) {
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return this.shiftBy(pt.x, pt.y);
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}
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/**
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* Aligns the face landmarks after face detection from the relative positions of the faces
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* bounding box, or it's current shift. This function should be used to align the face images
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* after face detection has been performed, before they are passed to the face recognition net.
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* This will make the computed face descriptor more accurate.
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*
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* @param detection (optional) The bounding box of the face or the face detection result. If
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* no argument was passed the position of the face landmarks are assumed to be relative to
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* it's current shift.
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* @returns The bounding box of the aligned face.
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*/
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align(detection, options = {}) {
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if (detection) {
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const box = detection instanceof FaceDetection
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? detection.box.floor()
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: new Box(detection);
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return this.shiftBy(box.x, box.y).align(null, options);
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}
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const { useDlibAlignment, minBoxPadding } = Object.assign({}, { useDlibAlignment: false, minBoxPadding: 0.2 }, options);
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if (useDlibAlignment) {
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return this.alignDlib();
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}
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return this.alignMinBbox(minBoxPadding);
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}
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alignDlib() {
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const centers = this.getRefPointsForAlignment();
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const [leftEyeCenter, rightEyeCenter, mouthCenter] = centers;
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const distToMouth = (pt) => mouthCenter.sub(pt).magnitude();
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const eyeToMouthDist = (distToMouth(leftEyeCenter) + distToMouth(rightEyeCenter)) / 2;
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const size = Math.floor(eyeToMouthDist / relScale);
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const refPoint = getCenterPoint(centers);
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// TODO: pad in case rectangle is out of image bounds
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const x = Math.floor(Math.max(0, refPoint.x - (relX * size)));
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const y = Math.floor(Math.max(0, refPoint.y - (relY * size)));
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return new Rect(x, y, Math.min(size, this.imageWidth + x), Math.min(size, this.imageHeight + y));
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}
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alignMinBbox(padding) {
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const box = minBbox(this.positions);
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return box.pad(box.width * padding, box.height * padding);
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}
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getRefPointsForAlignment() {
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throw new Error('getRefPointsForAlignment not implemented by base class');
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}
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}
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//# sourceMappingURL=FaceLandmarks.js.map
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