102 lines
No EOL
5.2 KiB
JavaScript
102 lines
No EOL
5.2 KiB
JavaScript
"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
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var minBbox_1 = require("../minBbox");
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var FaceDetection_1 = require("./FaceDetection");
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// face alignment constants
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var relX = 0.5;
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var relY = 0.43;
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var relScale = 0.45;
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var FaceLandmarks = /** @class */ (function () {
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function FaceLandmarks(relativeFaceLandmarkPositions, imgDims, shift) {
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if (shift === void 0) { shift = new tfjs_image_recognition_base_1.Point(0, 0); }
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var width = imgDims.width, height = imgDims.height;
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this._imgDims = new tfjs_image_recognition_base_1.Dimensions(width, height);
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this._shift = shift;
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this._positions = relativeFaceLandmarkPositions.map(function (pt) { return pt.mul(new tfjs_image_recognition_base_1.Point(width, height)).add(shift); });
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}
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Object.defineProperty(FaceLandmarks.prototype, "shift", {
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get: function () { return new tfjs_image_recognition_base_1.Point(this._shift.x, this._shift.y); },
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enumerable: true,
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configurable: true
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});
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Object.defineProperty(FaceLandmarks.prototype, "imageWidth", {
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get: function () { return this._imgDims.width; },
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enumerable: true,
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configurable: true
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});
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Object.defineProperty(FaceLandmarks.prototype, "imageHeight", {
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get: function () { return this._imgDims.height; },
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enumerable: true,
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configurable: true
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});
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Object.defineProperty(FaceLandmarks.prototype, "positions", {
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get: function () { return this._positions; },
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enumerable: true,
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configurable: true
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});
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Object.defineProperty(FaceLandmarks.prototype, "relativePositions", {
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get: function () {
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var _this = this;
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return this._positions.map(function (pt) { return pt.sub(_this._shift).div(new tfjs_image_recognition_base_1.Point(_this.imageWidth, _this.imageHeight)); });
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},
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enumerable: true,
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configurable: true
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});
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FaceLandmarks.prototype.forSize = function (width, height) {
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return new this.constructor(this.relativePositions, { width: width, height: height });
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};
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FaceLandmarks.prototype.shiftBy = function (x, y) {
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return new this.constructor(this.relativePositions, this._imgDims, new tfjs_image_recognition_base_1.Point(x, y));
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};
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FaceLandmarks.prototype.shiftByPoint = function (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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FaceLandmarks.prototype.align = function (detection, options) {
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if (options === void 0) { options = {}; }
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if (detection) {
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var box = detection instanceof FaceDetection_1.FaceDetection
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? detection.box.floor()
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: new tfjs_image_recognition_base_1.Box(detection);
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return this.shiftBy(box.x, box.y).align(null, options);
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}
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var _a = Object.assign({}, { useDlibAlignment: false, minBoxPadding: 0.2 }, options), useDlibAlignment = _a.useDlibAlignment, minBoxPadding = _a.minBoxPadding;
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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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FaceLandmarks.prototype.alignDlib = function () {
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var centers = this.getRefPointsForAlignment();
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var leftEyeCenter = centers[0], rightEyeCenter = centers[1], mouthCenter = centers[2];
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var distToMouth = function (pt) { return mouthCenter.sub(pt).magnitude(); };
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var eyeToMouthDist = (distToMouth(leftEyeCenter) + distToMouth(rightEyeCenter)) / 2;
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var size = Math.floor(eyeToMouthDist / relScale);
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var refPoint = tfjs_image_recognition_base_1.getCenterPoint(centers);
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// TODO: pad in case rectangle is out of image bounds
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var x = Math.floor(Math.max(0, refPoint.x - (relX * size)));
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var y = Math.floor(Math.max(0, refPoint.y - (relY * size)));
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return new tfjs_image_recognition_base_1.Rect(x, y, Math.min(size, this.imageWidth + x), Math.min(size, this.imageHeight + y));
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};
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FaceLandmarks.prototype.alignMinBbox = function (padding) {
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var box = minBbox_1.minBbox(this.positions);
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return box.pad(box.width * padding, box.height * padding);
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};
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FaceLandmarks.prototype.getRefPointsForAlignment = function () {
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throw new Error('getRefPointsForAlignment not implemented by base class');
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};
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return FaceLandmarks;
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}());
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exports.FaceLandmarks = FaceLandmarks;
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//# sourceMappingURL=FaceLandmarks.js.map
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