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Commit b9588f96 by vincent
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build dist

parent 4a1a9629
Showing with 112 additions and 57 deletions
dist/Point.d.ts
export declare class Point {
export interface IPoint {
x: number;
y: number;
}
export declare class Point implements IPoint {
x: number;
y: number;
constructor(x: number, y: number);
add(pt: IPoint): Point;
sub(pt: IPoint): Point;
mul(pt: IPoint): Point;
div(pt: IPoint): Point;
}
dist/Point.js
......@@ -3,6 +3,18 @@ var Point = /** @class */ (function () {
this.x = x;
this.y = y;
}
Point.prototype.add = function (pt) {
return new Point(this.x + pt.x, this.y + pt.y);
};
Point.prototype.sub = function (pt) {
return new Point(this.x - pt.x, this.y - pt.y);
};
Point.prototype.mul = function (pt) {
return new Point(this.x * pt.x, this.y * pt.y);
};
Point.prototype.div = function (pt) {
return new Point(this.x / pt.x, this.y / pt.y);
};
return Point;
}());
export { Point };
......
dist/Point.js.map
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\ No newline at end of file
dist/Rect.d.ts
......@@ -4,4 +4,5 @@ export declare class Rect {
width: number;
height: number;
constructor(x: number, y: number, width: number, height: number);
floor(): Rect;
}
dist/Rect.js
......@@ -5,6 +5,9 @@ var Rect = /** @class */ (function () {
this.width = width;
this.height = height;
}
Rect.prototype.floor = function () {
return new Rect(Math.floor(this.x), Math.floor(this.y), Math.floor(this.width), Math.floor(this.height));
};
return Rect;
}());
export { Rect };
......
dist/Rect.js.map
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dist/extractFaceTensors.js
......@@ -17,7 +17,7 @@ export function extractFaceTensors(image, detections) {
// TODO handle batches
var _a = imgTensor.shape, batchSize = _a[0], imgHeight = _a[1], imgWidth = _a[2], numChannels = _a[3];
var faceTensors = detections.map(function (det) {
var _a = det.forSize(imgWidth, imgHeight).getBox(), x = _a.x, y = _a.y, width = _a.width, height = _a.height;
var _a = det.forSize(imgWidth, imgHeight).getBox().floor(), x = _a.x, y = _a.y, width = _a.width, height = _a.height;
return tf.slice(imgTensor, [0, y, x, 0], [1, height, width, numChannels]);
});
return faceTensors;
......
dist/extractFaceTensors.js.map
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\ No newline at end of file
dist/extractFaces.js
......@@ -9,7 +9,7 @@ import { createCanvas, getContext2dOrThrow } from './utils';
export function extractFaces(image, detections) {
var ctx = getContext2dOrThrow(image);
return detections.map(function (det) {
var _a = det.forSize(image.width, image.height).getBox(), x = _a.x, y = _a.y, width = _a.width, height = _a.height;
var _a = det.forSize(image.width, image.height).getBox().floor(), x = _a.x, y = _a.y, width = _a.width, height = _a.height;
var faceImg = createCanvas({ width: width, height: height });
getContext2dOrThrow(faceImg)
.putImageData(ctx.getImageData(x, y, width, height), 0, 0);
......
dist/extractFaces.js.map
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dist/face-api.js
......@@ -714,6 +714,9 @@
this.width = width;
this.height = height;
}
Rect.prototype.floor = function () {
return new Rect(Math.floor(this.x), Math.floor(this.y), Math.floor(this.width), Math.floor(this.height));
};
return Rect;
}());
......@@ -723,7 +726,7 @@
this._imageWidth = width;
this._imageHeight = height;
this._score = score;
this._box = new Rect(Math.floor(relativeBox.x * width), Math.floor(relativeBox.y * height), Math.floor(relativeBox.width * width), Math.floor(relativeBox.height * height));
this._box = new Rect(relativeBox.x * width, relativeBox.y * height, relativeBox.width * width, relativeBox.height * height);
}
FaceDetection.prototype.getScore = function () {
return this._score;
......@@ -731,6 +734,12 @@
FaceDetection.prototype.getBox = function () {
return this._box;
};
FaceDetection.prototype.getImageWidth = function () {
return this._imageWidth;
};
FaceDetection.prototype.getImageHeight = function () {
return this._imageHeight;
};
FaceDetection.prototype.getRelativeBox = function () {
return new Rect(this._box.x / this._imageWidth, this._box.y / this._imageHeight, this._box.width / this._imageWidth, this._box.height / this._imageHeight);
};
......@@ -1019,6 +1028,26 @@
};
}
var Point = /** @class */ (function () {
function Point(x, y) {
this.x = x;
this.y = y;
}
Point.prototype.add = function (pt) {
return new Point(this.x + pt.x, this.y + pt.y);
};
Point.prototype.sub = function (pt) {
return new Point(this.x - pt.x, this.y - pt.y);
};
Point.prototype.mul = function (pt) {
return new Point(this.x * pt.x, this.y * pt.y);
};
Point.prototype.div = function (pt) {
return new Point(this.x / pt.x, this.y / pt.y);
};
return Point;
}());
function extractConvParamsFactory(extractWeights) {
return function (channelsIn, channelsOut, filterSize) {
var filters = tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]);
......@@ -1068,27 +1097,21 @@
};
}
var Point = /** @class */ (function () {
function Point(x, y) {
this.x = x;
this.y = y;
}
return Point;
}());
var FaceLandmarks = /** @class */ (function () {
function FaceLandmarks(relativeFaceLandmarkPositions, imageDims) {
function FaceLandmarks(relativeFaceLandmarkPositions, imageDims, shift) {
if (shift === void 0) { shift = new Point(0, 0); }
var width = imageDims.width, height = imageDims.height;
this._imageWidth = width;
this._imageHeight = height;
this._faceLandmarks = relativeFaceLandmarkPositions.map(function (pt) { return new Point(pt.x * width, pt.y * height); });
this._shift = shift;
this._faceLandmarks = relativeFaceLandmarkPositions.map(function (pt) { return pt.mul(new Point(width, height)).add(shift); });
}
FaceLandmarks.prototype.getPositions = function () {
return this._faceLandmarks;
};
FaceLandmarks.prototype.getRelativePositions = function () {
var _this = this;
return this._faceLandmarks.map(function (pt) { return new Point(pt.x / _this._imageWidth, pt.y / _this._imageHeight); });
return this._faceLandmarks.map(function (pt) { return pt.sub(_this._shift).div(new Point(_this._imageWidth, _this._imageHeight)); });
};
FaceLandmarks.prototype.getJawOutline = function () {
return this._faceLandmarks.slice(0, 17);
......@@ -1114,6 +1137,9 @@
FaceLandmarks.prototype.forSize = function (width, height) {
return new FaceLandmarks(this.getRelativePositions(), { width: width, height: height });
};
FaceLandmarks.prototype.shift = function (x, y) {
return new FaceLandmarks(this.getRelativePositions(), { width: this._imageWidth, height: this._imageHeight }, new Point(x, y));
};
return FaceLandmarks;
}());
......@@ -1134,19 +1160,14 @@
var params = extractParams$1(weights);
function detectLandmarks(input) {
return __awaiter$1(this, void 0, void 0, function () {
var adjustRelativeX, adjustRelativeY, imageDimensions, outTensor, faceLandmarksArray, _a, _b, xCoords, yCoords;
var imageDimensions, outTensor, faceLandmarksArray, _a, _b, xCoords, yCoords;
return __generator$1(this, function (_c) {
switch (_c.label) {
case 0:
adjustRelativeX = 0;
adjustRelativeY = 0;
outTensor = tidy(function () {
var imgTensor = getImageTensor(input);
var _a = imgTensor.shape.slice(1), height = _a[0], width = _a[1];
imageDimensions = { width: width, height: height };
imgTensor = padToSquare(imgTensor, true);
adjustRelativeX = (height > width) ? imgTensor.shape[2] / (2 * width) : 0;
adjustRelativeY = (width > height) ? imgTensor.shape[1] / (2 * height) : 0;
// work with 128 x 128 sized face images
if (imgTensor.shape[1] !== 128 || imgTensor.shape[2] !== 128) {
imgTensor = image.resizeBilinear(imgTensor, [128, 128]);
......@@ -1171,10 +1192,10 @@
return [4 /*yield*/, outTensor.data()];
case 1:
faceLandmarksArray = _b.apply(_a, [_c.sent()]);
xCoords = faceLandmarksArray.filter(function (c, i) { return (i - 1) % 2; }).map(function (x) { return x + adjustRelativeX; });
yCoords = faceLandmarksArray.filter(function (c, i) { return i % 2; }).map(function (y) { return y + adjustRelativeY; });
outTensor.dispose();
return [2 /*return*/, new FaceLandmarks(Array(68).fill(0).map(function (_, i) { return ({ x: xCoords[i], y: yCoords[i] }); }), imageDimensions)];
xCoords = faceLandmarksArray.filter(function (c, i) { return (i - 1) % 2; });
yCoords = faceLandmarksArray.filter(function (c, i) { return i % 2; });
return [2 /*return*/, new FaceLandmarks(Array(68).fill(0).map(function (_, i) { return new Point(xCoords[i], yCoords[i]); }), imageDimensions)];
}
});
});
......@@ -1400,7 +1421,7 @@
function extractFaces(image, detections) {
var ctx = getContext2dOrThrow(image);
return detections.map(function (det) {
var _a = det.forSize(image.width, image.height).getBox(), x = _a.x, y = _a.y, width = _a.width, height = _a.height;
var _a = det.forSize(image.width, image.height).getBox().floor(), x = _a.x, y = _a.y, width = _a.width, height = _a.height;
var faceImg = createCanvas({ width: width, height: height });
getContext2dOrThrow(faceImg)
.putImageData(ctx.getImageData(x, y, width, height), 0, 0);
......@@ -1425,7 +1446,7 @@
// TODO handle batches
var _a = imgTensor.shape, batchSize = _a[0], imgHeight = _a[1], imgWidth = _a[2], numChannels = _a[3];
var faceTensors = detections.map(function (det) {
var _a = det.forSize(imgWidth, imgHeight).getBox(), x = _a.x, y = _a.y, width = _a.width, height = _a.height;
var _a = det.forSize(imgWidth, imgHeight).getBox().floor(), x = _a.x, y = _a.y, width = _a.width, height = _a.height;
return slice(imgTensor, [0, y, x, 0], [1, height, width, numChannels]);
});
return faceTensors;
......
dist/face-api.min.js
This source diff could not be displayed because it is too large. You can view the blob instead.
dist/faceDetectionNet/FaceDetection.d.ts
......@@ -8,6 +8,8 @@ export declare class FaceDetection {
constructor(score: number, relativeBox: Rect, imageDims: Dimensions);
getScore(): number;
getBox(): Rect;
getImageWidth(): number;
getImageHeight(): number;
getRelativeBox(): Rect;
forSize(width: number, height: number): FaceDetection;
}
dist/faceDetectionNet/FaceDetection.js
......@@ -5,7 +5,7 @@ var FaceDetection = /** @class */ (function () {
this._imageWidth = width;
this._imageHeight = height;
this._score = score;
this._box = new Rect(Math.floor(relativeBox.x * width), Math.floor(relativeBox.y * height), Math.floor(relativeBox.width * width), Math.floor(relativeBox.height * height));
this._box = new Rect(relativeBox.x * width, relativeBox.y * height, relativeBox.width * width, relativeBox.height * height);
}
FaceDetection.prototype.getScore = function () {
return this._score;
......@@ -13,6 +13,12 @@ var FaceDetection = /** @class */ (function () {
FaceDetection.prototype.getBox = function () {
return this._box;
};
FaceDetection.prototype.getImageWidth = function () {
return this._imageWidth;
};
FaceDetection.prototype.getImageHeight = function () {
return this._imageHeight;
};
FaceDetection.prototype.getRelativeBox = function () {
return new Rect(this._box.x / this._imageWidth, this._box.y / this._imageHeight, this._box.width / this._imageWidth, this._box.height / this._imageHeight);
};
......
dist/faceDetectionNet/FaceDetection.js.map
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dist/faceLandmarkNet/FaceLandmarks.d.ts
......@@ -4,7 +4,8 @@ export declare class FaceLandmarks {
private _faceLandmarks;
private _imageWidth;
private _imageHeight;
constructor(relativeFaceLandmarkPositions: Point[], imageDims: Dimensions);
private _shift;
constructor(relativeFaceLandmarkPositions: Point[], imageDims: Dimensions, shift?: Point);
getPositions(): Point[];
getRelativePositions(): Point[];
getJawOutline(): Point[];
......@@ -15,4 +16,5 @@ export declare class FaceLandmarks {
getRightEye(): Point[];
getMouth(): Point[];
forSize(width: number, height: number): FaceLandmarks;
shift(x: number, y: number): FaceLandmarks;
}
dist/faceLandmarkNet/FaceLandmarks.js
import { Point } from '../Point';
var FaceLandmarks = /** @class */ (function () {
function FaceLandmarks(relativeFaceLandmarkPositions, imageDims) {
function FaceLandmarks(relativeFaceLandmarkPositions, imageDims, shift) {
if (shift === void 0) { shift = new Point(0, 0); }
var width = imageDims.width, height = imageDims.height;
this._imageWidth = width;
this._imageHeight = height;
this._faceLandmarks = relativeFaceLandmarkPositions.map(function (pt) { return new Point(pt.x * width, pt.y * height); });
this._shift = shift;
this._faceLandmarks = relativeFaceLandmarkPositions.map(function (pt) { return pt.mul(new Point(width, height)).add(shift); });
}
FaceLandmarks.prototype.getPositions = function () {
return this._faceLandmarks;
};
FaceLandmarks.prototype.getRelativePositions = function () {
var _this = this;
return this._faceLandmarks.map(function (pt) { return new Point(pt.x / _this._imageWidth, pt.y / _this._imageHeight); });
return this._faceLandmarks.map(function (pt) { return pt.sub(_this._shift).div(new Point(_this._imageWidth, _this._imageHeight)); });
};
FaceLandmarks.prototype.getJawOutline = function () {
return this._faceLandmarks.slice(0, 17);
......@@ -37,6 +39,9 @@ var FaceLandmarks = /** @class */ (function () {
FaceLandmarks.prototype.forSize = function (width, height) {
return new FaceLandmarks(this.getRelativePositions(), { width: width, height: height });
};
FaceLandmarks.prototype.shift = function (x, y) {
return new FaceLandmarks(this.getRelativePositions(), { width: this._imageWidth, height: this._imageHeight }, new Point(x, y));
};
return FaceLandmarks;
}());
export { FaceLandmarks };
......
dist/faceLandmarkNet/FaceLandmarks.js.map
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\ No newline at end of file
dist/faceLandmarkNet/index.js
......@@ -2,7 +2,7 @@ import * as tslib_1 from "tslib";
import * as tf from '@tensorflow/tfjs-core';
import { convLayer } from '../commons/convLayer';
import { getImageTensor } from '../getImageTensor';
import { padToSquare } from '../padToSquare';
import { Point } from '../Point';
import { extractParams } from './extractParams';
import { FaceLandmarks } from './FaceLandmarks';
import { fullyConnectedLayer } from './fullyConnectedLayer';
......@@ -17,19 +17,14 @@ export function faceLandmarkNet(weights) {
var params = extractParams(weights);
function detectLandmarks(input) {
return tslib_1.__awaiter(this, void 0, void 0, function () {
var adjustRelativeX, adjustRelativeY, imageDimensions, outTensor, faceLandmarksArray, _a, _b, xCoords, yCoords;
var imageDimensions, outTensor, faceLandmarksArray, _a, _b, xCoords, yCoords;
return tslib_1.__generator(this, function (_c) {
switch (_c.label) {
case 0:
adjustRelativeX = 0;
adjustRelativeY = 0;
outTensor = tf.tidy(function () {
var imgTensor = getImageTensor(input);
var _a = imgTensor.shape.slice(1), height = _a[0], width = _a[1];
imageDimensions = { width: width, height: height };
imgTensor = padToSquare(imgTensor, true);
adjustRelativeX = (height > width) ? imgTensor.shape[2] / (2 * width) : 0;
adjustRelativeY = (width > height) ? imgTensor.shape[1] / (2 * height) : 0;
// work with 128 x 128 sized face images
if (imgTensor.shape[1] !== 128 || imgTensor.shape[2] !== 128) {
imgTensor = tf.image.resizeBilinear(imgTensor, [128, 128]);
......@@ -54,10 +49,10 @@ export function faceLandmarkNet(weights) {
return [4 /*yield*/, outTensor.data()];
case 1:
faceLandmarksArray = _b.apply(_a, [_c.sent()]);
xCoords = faceLandmarksArray.filter(function (c, i) { return (i - 1) % 2; }).map(function (x) { return x + adjustRelativeX; });
yCoords = faceLandmarksArray.filter(function (c, i) { return i % 2; }).map(function (y) { return y + adjustRelativeY; });
outTensor.dispose();
return [2 /*return*/, new FaceLandmarks(Array(68).fill(0).map(function (_, i) { return ({ x: xCoords[i], y: yCoords[i] }); }), imageDimensions)];
xCoords = faceLandmarksArray.filter(function (c, i) { return (i - 1) % 2; });
yCoords = faceLandmarksArray.filter(function (c, i) { return i % 2; });
return [2 /*return*/, new FaceLandmarks(Array(68).fill(0).map(function (_, i) { return new Point(xCoords[i], yCoords[i]); }), imageDimensions)];
}
});
});
......
dist/faceLandmarkNet/index.js.map
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