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Commit 00b4d293 by vincent
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check in latest build

parent f36997e4
Showing with 328 additions and 272 deletions
build/commonjs/classes/LabeledFaceDescriptors.d.ts
...@@ -4,4 +4,6 @@ export declare class LabeledFaceDescriptors { ...@@ -4,4 +4,6 @@ export declare class LabeledFaceDescriptors {
constructor(label: string, descriptors: Float32Array[]); constructor(label: string, descriptors: Float32Array[]);
readonly label: string; readonly label: string;
readonly descriptors: Float32Array[]; readonly descriptors: Float32Array[];
toJSON(): any;
static fromJSON(json: any): LabeledFaceDescriptors;
} }
build/commonjs/classes/LabeledFaceDescriptors.js
...@@ -21,6 +21,18 @@ var LabeledFaceDescriptors = /** @class */ (function () { ...@@ -21,6 +21,18 @@ var LabeledFaceDescriptors = /** @class */ (function () {
enumerable: true, enumerable: true,
configurable: true configurable: true
}); });
LabeledFaceDescriptors.prototype.toJSON = function () {
return {
label: this.label,
descriptors: this.descriptors.map(function (d) { return Array.from(d); })
};
};
LabeledFaceDescriptors.fromJSON = function (json) {
var descriptors = json.descriptors.map(function (d) {
return new Float32Array(d);
});
return new LabeledFaceDescriptors(json.label, descriptors);
};
return LabeledFaceDescriptors; return LabeledFaceDescriptors;
}()); }());
exports.LabeledFaceDescriptors = LabeledFaceDescriptors; exports.LabeledFaceDescriptors = LabeledFaceDescriptors;
......
build/commonjs/classes/LabeledFaceDescriptors.js.map
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\ No newline at end of file \ No newline at end of file
build/commonjs/faceRecognitionNet/residualLayer.js
"use strict"; "use strict";
Object.defineProperty(exports, "__esModule", { value: true }); Object.defineProperty(exports, "__esModule", { value: true });
var tslib_1 = require("tslib");
var tf = require("@tensorflow/tfjs-core"); var tf = require("@tensorflow/tfjs-core");
var convLayer_1 = require("./convLayer"); var convLayer_1 = require("./convLayer");
function residual(x, params) { function residual(x, params) {
...@@ -18,11 +19,11 @@ function residualDown(x, params) { ...@@ -18,11 +19,11 @@ function residualDown(x, params) {
var isPad = pooled.shape[3] !== out.shape[3]; var isPad = pooled.shape[3] !== out.shape[3];
var isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2]; var isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2];
if (isAdjustShape) { if (isAdjustShape) {
var padShapeX = out.shape.slice(); var padShapeX = tslib_1.__spreadArrays(out.shape);
padShapeX[1] = 1; padShapeX[1] = 1;
var zerosW = tf.zeros(padShapeX); var zerosW = tf.zeros(padShapeX);
out = tf.concat([out, zerosW], 1); out = tf.concat([out, zerosW], 1);
var padShapeY = out.shape.slice(); var padShapeY = tslib_1.__spreadArrays(out.shape);
padShapeY[2] = 1; padShapeY[2] = 1;
var zerosH = tf.zeros(padShapeY); var zerosH = tf.zeros(padShapeY);
out = tf.concat([out, zerosH], 2); out = tf.concat([out, zerosH], 2);
......
build/commonjs/faceRecognitionNet/residualLayer.js.map
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build/commonjs/globalApi/FaceMatcher.d.ts
...@@ -10,4 +10,6 @@ export declare class FaceMatcher { ...@@ -10,4 +10,6 @@ export declare class FaceMatcher {
computeMeanDistance(queryDescriptor: Float32Array, descriptors: Float32Array[]): number; computeMeanDistance(queryDescriptor: Float32Array, descriptors: Float32Array[]): number;
matchDescriptor(queryDescriptor: Float32Array): FaceMatch; matchDescriptor(queryDescriptor: Float32Array): FaceMatch;
findBestMatch(queryDescriptor: Float32Array): FaceMatch; findBestMatch(queryDescriptor: Float32Array): FaceMatch;
toJSON(): any;
static fromJSON(json: any): FaceMatcher;
} }
build/commonjs/globalApi/FaceMatcher.js
...@@ -57,6 +57,17 @@ var FaceMatcher = /** @class */ (function () { ...@@ -57,6 +57,17 @@ var FaceMatcher = /** @class */ (function () {
? bestMatch ? bestMatch
: new FaceMatch_1.FaceMatch('unknown', bestMatch.distance); : new FaceMatch_1.FaceMatch('unknown', bestMatch.distance);
}; };
FaceMatcher.prototype.toJSON = function () {
return {
distanceThreshold: this.distanceThreshold,
labeledDescriptors: this.labeledDescriptors.map(function (ld) { return ld.toJSON(); })
};
};
FaceMatcher.fromJSON = function (json) {
var labeledDescriptors = json.labeledDescriptors
.map(function (ld) { return LabeledFaceDescriptors_1.LabeledFaceDescriptors.fromJSON(ld); });
return new FaceMatcher(labeledDescriptors, json.distanceThreshold);
};
return FaceMatcher; return FaceMatcher;
}()); }());
exports.FaceMatcher = FaceMatcher; exports.FaceMatcher = FaceMatcher;
......
build/commonjs/globalApi/FaceMatcher.js.map
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\ No newline at end of file \ No newline at end of file
build/commonjs/index.d.ts
...@@ -6,9 +6,9 @@ export * from 'tfjs-image-recognition-base'; ...@@ -6,9 +6,9 @@ export * from 'tfjs-image-recognition-base';
export * from './ageGenderNet/index'; export * from './ageGenderNet/index';
declare const draw: { declare const draw: {
drawContour(ctx: CanvasRenderingContext2D, points: import("tfjs-image-recognition-base").Point[], isClosed?: boolean): void; drawContour(ctx: CanvasRenderingContext2D, points: import("tfjs-image-recognition-base").Point[], isClosed?: boolean): void;
drawDetections(canvasArg: string | HTMLCanvasElement, detections: import("tfjs-image-recognition-base").IRect | import("tfjs-image-recognition-base").IBoundingBox | import("./classes").FaceDetection | { drawDetections(canvasArg: string | HTMLCanvasElement, detections: import("./classes").FaceDetection | import("tfjs-image-recognition-base").IRect | {
detection: import("./classes").FaceDetection; detection: import("./classes").FaceDetection;
} | drawExtended.TDrawDetectionsInput[]): void; } | import("tfjs-image-recognition-base").IBoundingBox | drawExtended.TDrawDetectionsInput[]): void;
drawFaceExpressions(canvasArg: string | HTMLCanvasElement, faceExpressions: import("./faceExpressionNet").FaceExpressions | { drawFaceExpressions(canvasArg: string | HTMLCanvasElement, faceExpressions: import("./faceExpressionNet").FaceExpressions | {
expressions: import("./faceExpressionNet").FaceExpressions; expressions: import("./faceExpressionNet").FaceExpressions;
} | drawExtended.DrawFaceExpressionsInput[], minConfidence?: number, textFieldAnchor?: import("tfjs-image-recognition-base").IPoint | undefined): void; } | drawExtended.DrawFaceExpressionsInput[], minConfidence?: number, textFieldAnchor?: import("tfjs-image-recognition-base").IPoint | undefined): void;
......
build/commonjs/index.js
...@@ -7,7 +7,7 @@ var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base"); ...@@ -7,7 +7,7 @@ var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
var drawExtended = require("./draw"); var drawExtended = require("./draw");
tslib_1.__exportStar(require("tfjs-image-recognition-base"), exports); tslib_1.__exportStar(require("tfjs-image-recognition-base"), exports);
tslib_1.__exportStar(require("./ageGenderNet/index"), exports); tslib_1.__exportStar(require("./ageGenderNet/index"), exports);
var draw = tslib_1.__assign({}, tfjs_image_recognition_base_1.draw, drawExtended); var draw = tslib_1.__assign(tslib_1.__assign({}, tfjs_image_recognition_base_1.draw), drawExtended);
exports.draw = draw; exports.draw = draw;
tslib_1.__exportStar(require("./classes/index"), exports); tslib_1.__exportStar(require("./classes/index"), exports);
tslib_1.__exportStar(require("./dom/index"), exports); tslib_1.__exportStar(require("./dom/index"), exports);
......
build/commonjs/index.js.map
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\ No newline at end of file \ No newline at end of file
build/commonjs/mtcnn/extractParams.js
...@@ -25,7 +25,7 @@ function extractorsFactory(extractWeights, paramMappings) { ...@@ -25,7 +25,7 @@ function extractorsFactory(extractWeights, paramMappings) {
var sharedParams = extractSharedParams([3, 10, 16, 32], 'pnet'); var sharedParams = extractSharedParams([3, 10, 16, 32], 'pnet');
var conv4_1 = extractConvParams(32, 2, 1, 'pnet/conv4_1'); var conv4_1 = extractConvParams(32, 2, 1, 'pnet/conv4_1');
var conv4_2 = extractConvParams(32, 4, 1, 'pnet/conv4_2'); var conv4_2 = extractConvParams(32, 4, 1, 'pnet/conv4_2');
return tslib_1.__assign({}, sharedParams, { conv4_1: conv4_1, conv4_2: conv4_2 }); return tslib_1.__assign(tslib_1.__assign({}, sharedParams), { conv4_1: conv4_1, conv4_2: conv4_2 });
} }
function extractRNetParams() { function extractRNetParams() {
var sharedParams = extractSharedParams([3, 28, 48, 64], 'rnet', true); var sharedParams = extractSharedParams([3, 28, 48, 64], 'rnet', true);
...@@ -33,7 +33,7 @@ function extractorsFactory(extractWeights, paramMappings) { ...@@ -33,7 +33,7 @@ function extractorsFactory(extractWeights, paramMappings) {
var prelu4_alpha = extractPReluParams(128, 'rnet/prelu4_alpha'); var prelu4_alpha = extractPReluParams(128, 'rnet/prelu4_alpha');
var fc2_1 = extractFCParams(128, 2, 'rnet/fc2_1'); var fc2_1 = extractFCParams(128, 2, 'rnet/fc2_1');
var fc2_2 = extractFCParams(128, 4, 'rnet/fc2_2'); var fc2_2 = extractFCParams(128, 4, 'rnet/fc2_2');
return tslib_1.__assign({}, sharedParams, { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 }); return tslib_1.__assign(tslib_1.__assign({}, sharedParams), { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 });
} }
function extractONetParams() { function extractONetParams() {
var sharedParams = extractSharedParams([3, 32, 64, 64], 'onet'); var sharedParams = extractSharedParams([3, 32, 64, 64], 'onet');
...@@ -44,7 +44,7 @@ function extractorsFactory(extractWeights, paramMappings) { ...@@ -44,7 +44,7 @@ function extractorsFactory(extractWeights, paramMappings) {
var fc2_1 = extractFCParams(256, 2, 'onet/fc2_1'); var fc2_1 = extractFCParams(256, 2, 'onet/fc2_1');
var fc2_2 = extractFCParams(256, 4, 'onet/fc2_2'); var fc2_2 = extractFCParams(256, 4, 'onet/fc2_2');
var fc2_3 = extractFCParams(256, 10, 'onet/fc2_3'); var fc2_3 = extractFCParams(256, 10, 'onet/fc2_3');
return tslib_1.__assign({}, sharedParams, { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 }); return tslib_1.__assign(tslib_1.__assign({}, sharedParams), { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 });
} }
return { return {
extractPNetParams: extractPNetParams, extractPNetParams: extractPNetParams,
......
build/commonjs/mtcnn/extractParams.js.map
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\ No newline at end of file \ No newline at end of file
build/commonjs/mtcnn/extractParamsFromWeigthMap.js
...@@ -30,7 +30,7 @@ function extractorsFactory(weightMap, paramMappings) { ...@@ -30,7 +30,7 @@ function extractorsFactory(weightMap, paramMappings) {
var sharedParams = extractSharedParams('pnet'); var sharedParams = extractSharedParams('pnet');
var conv4_1 = extractConvParams('pnet/conv4_1'); var conv4_1 = extractConvParams('pnet/conv4_1');
var conv4_2 = extractConvParams('pnet/conv4_2'); var conv4_2 = extractConvParams('pnet/conv4_2');
return tslib_1.__assign({}, sharedParams, { conv4_1: conv4_1, conv4_2: conv4_2 }); return tslib_1.__assign(tslib_1.__assign({}, sharedParams), { conv4_1: conv4_1, conv4_2: conv4_2 });
} }
function extractRNetParams() { function extractRNetParams() {
var sharedParams = extractSharedParams('rnet'); var sharedParams = extractSharedParams('rnet');
...@@ -38,7 +38,7 @@ function extractorsFactory(weightMap, paramMappings) { ...@@ -38,7 +38,7 @@ function extractorsFactory(weightMap, paramMappings) {
var prelu4_alpha = extractPReluParams('rnet/prelu4_alpha'); var prelu4_alpha = extractPReluParams('rnet/prelu4_alpha');
var fc2_1 = extractFCParams('rnet/fc2_1'); var fc2_1 = extractFCParams('rnet/fc2_1');
var fc2_2 = extractFCParams('rnet/fc2_2'); var fc2_2 = extractFCParams('rnet/fc2_2');
return tslib_1.__assign({}, sharedParams, { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 }); return tslib_1.__assign(tslib_1.__assign({}, sharedParams), { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 });
} }
function extractONetParams() { function extractONetParams() {
var sharedParams = extractSharedParams('onet'); var sharedParams = extractSharedParams('onet');
...@@ -49,7 +49,7 @@ function extractorsFactory(weightMap, paramMappings) { ...@@ -49,7 +49,7 @@ function extractorsFactory(weightMap, paramMappings) {
var fc2_1 = extractFCParams('onet/fc2_1'); var fc2_1 = extractFCParams('onet/fc2_1');
var fc2_2 = extractFCParams('onet/fc2_2'); var fc2_2 = extractFCParams('onet/fc2_2');
var fc2_3 = extractFCParams('onet/fc2_3'); var fc2_3 = extractFCParams('onet/fc2_3');
return tslib_1.__assign({}, sharedParams, { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 }); return tslib_1.__assign(tslib_1.__assign({}, sharedParams), { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 });
} }
return { return {
extractPNetParams: extractPNetParams, extractPNetParams: extractPNetParams,
......
build/commonjs/mtcnn/extractParamsFromWeigthMap.js.map
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build/es6/ageGenderNet/AgeGenderNet.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { NetInput, NeuralNetwork, toNetInput } from 'tfjs-image-recognition-base'; import { NetInput, NeuralNetwork, toNetInput } from 'tfjs-image-recognition-base';
import { fullyConnectedLayer } from '../common/fullyConnectedLayer'; import { fullyConnectedLayer } from '../common/fullyConnectedLayer';
...@@ -8,7 +8,7 @@ import { extractParams } from './extractParams'; ...@@ -8,7 +8,7 @@ import { extractParams } from './extractParams';
import { extractParamsFromWeigthMap } from './extractParamsFromWeigthMap'; import { extractParamsFromWeigthMap } from './extractParamsFromWeigthMap';
import { Gender } from './types'; import { Gender } from './types';
var AgeGenderNet = /** @class */ (function (_super) { var AgeGenderNet = /** @class */ (function (_super) {
tslib_1.__extends(AgeGenderNet, _super); __extends(AgeGenderNet, _super);
function AgeGenderNet(faceFeatureExtractor) { function AgeGenderNet(faceFeatureExtractor) {
if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new TinyXception(2); } if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new TinyXception(2); }
var _this = _super.call(this, 'AgeGenderNet') || this; var _this = _super.call(this, 'AgeGenderNet') || this;
...@@ -46,9 +46,9 @@ var AgeGenderNet = /** @class */ (function (_super) { ...@@ -46,9 +46,9 @@ var AgeGenderNet = /** @class */ (function (_super) {
}); });
}; };
AgeGenderNet.prototype.forward = function (input) { AgeGenderNet.prototype.forward = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a; var _a;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = this.forwardInput; _a = this.forwardInput;
...@@ -59,10 +59,10 @@ var AgeGenderNet = /** @class */ (function (_super) { ...@@ -59,10 +59,10 @@ var AgeGenderNet = /** @class */ (function (_super) {
}); });
}; };
AgeGenderNet.prototype.predictAgeAndGender = function (input) { AgeGenderNet.prototype.predictAgeAndGender = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var netInput, out, ages, genders, ageAndGenderTensors, predictionsByBatch; var netInput, out, ages, genders, ageAndGenderTensors, predictionsByBatch;
var _this = this; var _this = this;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, toNetInput(input)]; case 0: return [4 /*yield*/, toNetInput(input)];
case 1: case 1:
...@@ -78,9 +78,9 @@ var AgeGenderNet = /** @class */ (function (_super) { ...@@ -78,9 +78,9 @@ var AgeGenderNet = /** @class */ (function (_super) {
}); }); }); });
return [4 /*yield*/, Promise.all(ageAndGenderTensors.map(function (_a) { return [4 /*yield*/, Promise.all(ageAndGenderTensors.map(function (_a) {
var ageTensor = _a.ageTensor, genderTensor = _a.genderTensor; var ageTensor = _a.ageTensor, genderTensor = _a.genderTensor;
return tslib_1.__awaiter(_this, void 0, void 0, function () { return __awaiter(_this, void 0, void 0, function () {
var age, probMale, isMale, gender, genderProbability; var age, probMale, isMale, gender, genderProbability;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: return [4 /*yield*/, ageTensor.data()]; case 0: return [4 /*yield*/, ageTensor.data()];
case 1: case 1:
......
build/es6/ageGenderNet/AgeGenderNet.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/classes/FaceDetection.js
import * as tslib_1 from "tslib"; import { __extends } from "tslib";
import { ObjectDetection } from 'tfjs-image-recognition-base'; import { ObjectDetection } from 'tfjs-image-recognition-base';
var FaceDetection = /** @class */ (function (_super) { var FaceDetection = /** @class */ (function (_super) {
tslib_1.__extends(FaceDetection, _super); __extends(FaceDetection, _super);
function FaceDetection(score, relativeBox, imageDims) { function FaceDetection(score, relativeBox, imageDims) {
return _super.call(this, score, score, '', relativeBox, imageDims) || this; return _super.call(this, score, score, '', relativeBox, imageDims) || this;
} }
......
build/es6/classes/FaceDetection.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/classes/FaceLandmarks5.js
import * as tslib_1 from "tslib"; import { __extends } from "tslib";
import { getCenterPoint } from 'tfjs-image-recognition-base'; import { getCenterPoint } from 'tfjs-image-recognition-base';
import { FaceLandmarks } from './FaceLandmarks'; import { FaceLandmarks } from './FaceLandmarks';
var FaceLandmarks5 = /** @class */ (function (_super) { var FaceLandmarks5 = /** @class */ (function (_super) {
tslib_1.__extends(FaceLandmarks5, _super); __extends(FaceLandmarks5, _super);
function FaceLandmarks5() { function FaceLandmarks5() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
......
build/es6/classes/FaceLandmarks5.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/classes/FaceLandmarks68.js
import * as tslib_1 from "tslib"; import { __extends } from "tslib";
import { getCenterPoint } from 'tfjs-image-recognition-base'; import { getCenterPoint } from 'tfjs-image-recognition-base';
import { FaceLandmarks } from '../classes/FaceLandmarks'; import { FaceLandmarks } from '../classes/FaceLandmarks';
var FaceLandmarks68 = /** @class */ (function (_super) { var FaceLandmarks68 = /** @class */ (function (_super) {
tslib_1.__extends(FaceLandmarks68, _super); __extends(FaceLandmarks68, _super);
function FaceLandmarks68() { function FaceLandmarks68() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
......
build/es6/classes/FaceLandmarks68.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/classes/LabeledFaceDescriptors.d.ts
...@@ -4,4 +4,6 @@ export declare class LabeledFaceDescriptors { ...@@ -4,4 +4,6 @@ export declare class LabeledFaceDescriptors {
constructor(label: string, descriptors: Float32Array[]); constructor(label: string, descriptors: Float32Array[]);
readonly label: string; readonly label: string;
readonly descriptors: Float32Array[]; readonly descriptors: Float32Array[];
toJSON(): any;
static fromJSON(json: any): LabeledFaceDescriptors;
} }
build/es6/classes/LabeledFaceDescriptors.js
...@@ -19,6 +19,18 @@ var LabeledFaceDescriptors = /** @class */ (function () { ...@@ -19,6 +19,18 @@ var LabeledFaceDescriptors = /** @class */ (function () {
enumerable: true, enumerable: true,
configurable: true configurable: true
}); });
LabeledFaceDescriptors.prototype.toJSON = function () {
return {
label: this.label,
descriptors: this.descriptors.map(function (d) { return Array.from(d); })
};
};
LabeledFaceDescriptors.fromJSON = function (json) {
var descriptors = json.descriptors.map(function (d) {
return new Float32Array(d);
});
return new LabeledFaceDescriptors(json.label, descriptors);
};
return LabeledFaceDescriptors; return LabeledFaceDescriptors;
}()); }());
export { LabeledFaceDescriptors }; export { LabeledFaceDescriptors };
......
build/es6/classes/LabeledFaceDescriptors.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/dom/extractFaceTensors.js
import * as tslib_1 from "tslib"; import { __awaiter, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { isTensor4D, isTensor3D } from 'tfjs-image-recognition-base'; import { isTensor4D, isTensor3D } from 'tfjs-image-recognition-base';
import { FaceDetection } from '../classes/FaceDetection'; import { FaceDetection } from '../classes/FaceDetection';
...@@ -13,8 +13,8 @@ import { FaceDetection } from '../classes/FaceDetection'; ...@@ -13,8 +13,8 @@ import { FaceDetection } from '../classes/FaceDetection';
* @returns Tensors of the corresponding image region for each detected face. * @returns Tensors of the corresponding image region for each detected face.
*/ */
export function extractFaceTensors(imageTensor, detections) { export function extractFaceTensors(imageTensor, detections) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) { if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {
throw new Error('extractFaceTensors - expected image tensor to be 3D or 4D'); throw new Error('extractFaceTensors - expected image tensor to be 3D or 4D');
} }
......
build/es6/dom/extractFaces.js
import * as tslib_1 from "tslib"; import { __awaiter, __generator } from "tslib";
import { createCanvas, env, getContext2dOrThrow, imageTensorToCanvas, toNetInput, } from 'tfjs-image-recognition-base'; import { createCanvas, env, getContext2dOrThrow, imageTensorToCanvas, toNetInput, } from 'tfjs-image-recognition-base';
import { FaceDetection } from '../classes/FaceDetection'; import { FaceDetection } from '../classes/FaceDetection';
/** /**
...@@ -9,9 +9,9 @@ import { FaceDetection } from '../classes/FaceDetection'; ...@@ -9,9 +9,9 @@ import { FaceDetection } from '../classes/FaceDetection';
* @returns The Canvases of the corresponding image region for each detected face. * @returns The Canvases of the corresponding image region for each detected face.
*/ */
export function extractFaces(input, detections) { export function extractFaces(input, detections) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var Canvas, canvas, netInput, tensorOrCanvas, _a, ctx, boxes; var Canvas, canvas, netInput, tensorOrCanvas, _a, ctx, boxes;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
Canvas = env.getEnv().Canvas; Canvas = env.getEnv().Canvas;
......
build/es6/faceExpressionNet/FaceExpressionNet.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { toNetInput } from 'tfjs-image-recognition-base'; import { toNetInput } from 'tfjs-image-recognition-base';
import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor'; import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';
import { FaceProcessor } from '../faceProcessor/FaceProcessor'; import { FaceProcessor } from '../faceProcessor/FaceProcessor';
import { FaceExpressions } from './FaceExpressions'; import { FaceExpressions } from './FaceExpressions';
var FaceExpressionNet = /** @class */ (function (_super) { var FaceExpressionNet = /** @class */ (function (_super) {
tslib_1.__extends(FaceExpressionNet, _super); __extends(FaceExpressionNet, _super);
function FaceExpressionNet(faceFeatureExtractor) { function FaceExpressionNet(faceFeatureExtractor) {
if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new FaceFeatureExtractor(); } if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new FaceFeatureExtractor(); }
return _super.call(this, 'FaceExpressionNet', faceFeatureExtractor) || this; return _super.call(this, 'FaceExpressionNet', faceFeatureExtractor) || this;
...@@ -15,9 +15,9 @@ var FaceExpressionNet = /** @class */ (function (_super) { ...@@ -15,9 +15,9 @@ var FaceExpressionNet = /** @class */ (function (_super) {
return tf.tidy(function () { return tf.softmax(_this.runNet(input)); }); return tf.tidy(function () { return tf.softmax(_this.runNet(input)); });
}; };
FaceExpressionNet.prototype.forward = function (input) { FaceExpressionNet.prototype.forward = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a; var _a;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = this.forwardInput; _a = this.forwardInput;
...@@ -28,10 +28,10 @@ var FaceExpressionNet = /** @class */ (function (_super) { ...@@ -28,10 +28,10 @@ var FaceExpressionNet = /** @class */ (function (_super) {
}); });
}; };
FaceExpressionNet.prototype.predictExpressions = function (input) { FaceExpressionNet.prototype.predictExpressions = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var netInput, out, probabilitesByBatch, predictionsByBatch; var netInput, out, probabilitesByBatch, predictionsByBatch;
var _this = this; var _this = this;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, toNetInput(input)]; case 0: return [4 /*yield*/, toNetInput(input)];
case 1: case 1:
...@@ -39,9 +39,9 @@ var FaceExpressionNet = /** @class */ (function (_super) { ...@@ -39,9 +39,9 @@ var FaceExpressionNet = /** @class */ (function (_super) {
return [4 /*yield*/, this.forwardInput(netInput)]; return [4 /*yield*/, this.forwardInput(netInput)];
case 2: case 2:
out = _a.sent(); out = _a.sent();
return [4 /*yield*/, Promise.all(tf.unstack(out).map(function (t) { return tslib_1.__awaiter(_this, void 0, void 0, function () { return [4 /*yield*/, Promise.all(tf.unstack(out).map(function (t) { return __awaiter(_this, void 0, void 0, function () {
var data; var data;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, t.data()]; case 0: return [4 /*yield*/, t.data()];
case 1: case 1:
......
build/es6/faceExpressionNet/FaceExpressionNet.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/faceFeatureExtractor/FaceFeatureExtractor.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { NeuralNetwork, normalize, toNetInput } from 'tfjs-image-recognition-base'; import { NeuralNetwork, normalize, toNetInput } from 'tfjs-image-recognition-base';
import { denseBlock4 } from './denseBlock'; import { denseBlock4 } from './denseBlock';
import { extractParams } from './extractParams'; import { extractParams } from './extractParams';
import { extractParamsFromWeigthMap } from './extractParamsFromWeigthMap'; import { extractParamsFromWeigthMap } from './extractParamsFromWeigthMap';
var FaceFeatureExtractor = /** @class */ (function (_super) { var FaceFeatureExtractor = /** @class */ (function (_super) {
tslib_1.__extends(FaceFeatureExtractor, _super); __extends(FaceFeatureExtractor, _super);
function FaceFeatureExtractor() { function FaceFeatureExtractor() {
return _super.call(this, 'FaceFeatureExtractor') || this; return _super.call(this, 'FaceFeatureExtractor') || this;
} }
...@@ -27,9 +27,9 @@ var FaceFeatureExtractor = /** @class */ (function (_super) { ...@@ -27,9 +27,9 @@ var FaceFeatureExtractor = /** @class */ (function (_super) {
}); });
}; };
FaceFeatureExtractor.prototype.forward = function (input) { FaceFeatureExtractor.prototype.forward = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a; var _a;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = this.forwardInput; _a = this.forwardInput;
......
build/es6/faceFeatureExtractor/FaceFeatureExtractor.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { NeuralNetwork, normalize, toNetInput } from 'tfjs-image-recognition-base'; import { NeuralNetwork, normalize, toNetInput } from 'tfjs-image-recognition-base';
import { denseBlock3 } from './denseBlock'; import { denseBlock3 } from './denseBlock';
import { extractParamsFromWeigthMapTiny } from './extractParamsFromWeigthMapTiny'; import { extractParamsFromWeigthMapTiny } from './extractParamsFromWeigthMapTiny';
import { extractParamsTiny } from './extractParamsTiny'; import { extractParamsTiny } from './extractParamsTiny';
var TinyFaceFeatureExtractor = /** @class */ (function (_super) { var TinyFaceFeatureExtractor = /** @class */ (function (_super) {
tslib_1.__extends(TinyFaceFeatureExtractor, _super); __extends(TinyFaceFeatureExtractor, _super);
function TinyFaceFeatureExtractor() { function TinyFaceFeatureExtractor() {
return _super.call(this, 'TinyFaceFeatureExtractor') || this; return _super.call(this, 'TinyFaceFeatureExtractor') || this;
} }
...@@ -26,9 +26,9 @@ var TinyFaceFeatureExtractor = /** @class */ (function (_super) { ...@@ -26,9 +26,9 @@ var TinyFaceFeatureExtractor = /** @class */ (function (_super) {
}); });
}; };
TinyFaceFeatureExtractor.prototype.forward = function (input) { TinyFaceFeatureExtractor.prototype.forward = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a; var _a;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = this.forwardInput; _a = this.forwardInput;
......
build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/faceLandmarkNet/FaceLandmark68Net.js
import * as tslib_1 from "tslib"; import { __extends } from "tslib";
import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor'; import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';
import { FaceLandmark68NetBase } from './FaceLandmark68NetBase'; import { FaceLandmark68NetBase } from './FaceLandmark68NetBase';
var FaceLandmark68Net = /** @class */ (function (_super) { var FaceLandmark68Net = /** @class */ (function (_super) {
tslib_1.__extends(FaceLandmark68Net, _super); __extends(FaceLandmark68Net, _super);
function FaceLandmark68Net(faceFeatureExtractor) { function FaceLandmark68Net(faceFeatureExtractor) {
if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new FaceFeatureExtractor(); } if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new FaceFeatureExtractor(); }
return _super.call(this, 'FaceLandmark68Net', faceFeatureExtractor) || this; return _super.call(this, 'FaceLandmark68Net', faceFeatureExtractor) || this;
......
build/es6/faceLandmarkNet/FaceLandmark68Net.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/faceLandmarkNet/FaceLandmark68NetBase.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { isEven, Point, toNetInput } from 'tfjs-image-recognition-base'; import { isEven, Point, toNetInput } from 'tfjs-image-recognition-base';
import { FaceLandmarks68 } from '../classes/FaceLandmarks68'; import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
import { FaceProcessor } from '../faceProcessor/FaceProcessor'; import { FaceProcessor } from '../faceProcessor/FaceProcessor';
var FaceLandmark68NetBase = /** @class */ (function (_super) { var FaceLandmark68NetBase = /** @class */ (function (_super) {
tslib_1.__extends(FaceLandmark68NetBase, _super); __extends(FaceLandmark68NetBase, _super);
function FaceLandmark68NetBase() { function FaceLandmark68NetBase() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
...@@ -53,9 +53,9 @@ var FaceLandmark68NetBase = /** @class */ (function (_super) { ...@@ -53,9 +53,9 @@ var FaceLandmark68NetBase = /** @class */ (function (_super) {
}); });
}; };
FaceLandmark68NetBase.prototype.forward = function (input) { FaceLandmark68NetBase.prototype.forward = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a; var _a;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = this.forwardInput; _a = this.forwardInput;
...@@ -66,18 +66,18 @@ var FaceLandmark68NetBase = /** @class */ (function (_super) { ...@@ -66,18 +66,18 @@ var FaceLandmark68NetBase = /** @class */ (function (_super) {
}); });
}; };
FaceLandmark68NetBase.prototype.detectLandmarks = function (input) { FaceLandmark68NetBase.prototype.detectLandmarks = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var netInput, landmarkTensors, landmarksForBatch; var netInput, landmarkTensors, landmarksForBatch;
var _this = this; var _this = this;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, toNetInput(input)]; case 0: return [4 /*yield*/, toNetInput(input)];
case 1: case 1:
netInput = _a.sent(); netInput = _a.sent();
landmarkTensors = tf.tidy(function () { return tf.unstack(_this.forwardInput(netInput)); }); landmarkTensors = tf.tidy(function () { return tf.unstack(_this.forwardInput(netInput)); });
return [4 /*yield*/, Promise.all(landmarkTensors.map(function (landmarkTensor, batchIdx) { return tslib_1.__awaiter(_this, void 0, void 0, function () { return [4 /*yield*/, Promise.all(landmarkTensors.map(function (landmarkTensor, batchIdx) { return __awaiter(_this, void 0, void 0, function () {
var landmarksArray, _a, _b, xCoords, yCoords; var landmarksArray, _a, _b, xCoords, yCoords;
return tslib_1.__generator(this, function (_c) { return __generator(this, function (_c) {
switch (_c.label) { switch (_c.label) {
case 0: case 0:
_b = (_a = Array).from; _b = (_a = Array).from;
......
build/es6/faceLandmarkNet/FaceLandmark68NetBase.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/faceLandmarkNet/FaceLandmark68TinyNet.js
import * as tslib_1 from "tslib"; import { __extends } from "tslib";
import { TinyFaceFeatureExtractor } from '../faceFeatureExtractor/TinyFaceFeatureExtractor'; import { TinyFaceFeatureExtractor } from '../faceFeatureExtractor/TinyFaceFeatureExtractor';
import { FaceLandmark68NetBase } from './FaceLandmark68NetBase'; import { FaceLandmark68NetBase } from './FaceLandmark68NetBase';
var FaceLandmark68TinyNet = /** @class */ (function (_super) { var FaceLandmark68TinyNet = /** @class */ (function (_super) {
tslib_1.__extends(FaceLandmark68TinyNet, _super); __extends(FaceLandmark68TinyNet, _super);
function FaceLandmark68TinyNet(faceFeatureExtractor) { function FaceLandmark68TinyNet(faceFeatureExtractor) {
if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new TinyFaceFeatureExtractor(); } if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new TinyFaceFeatureExtractor(); }
return _super.call(this, 'FaceLandmark68TinyNet', faceFeatureExtractor) || this; return _super.call(this, 'FaceLandmark68TinyNet', faceFeatureExtractor) || this;
......
build/es6/faceLandmarkNet/FaceLandmark68TinyNet.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/faceLandmarkNet/index.js
import * as tslib_1 from "tslib"; import { __extends } from "tslib";
import { FaceLandmark68Net } from './FaceLandmark68Net'; import { FaceLandmark68Net } from './FaceLandmark68Net';
export * from './FaceLandmark68Net'; export * from './FaceLandmark68Net';
export * from './FaceLandmark68TinyNet'; export * from './FaceLandmark68TinyNet';
var FaceLandmarkNet = /** @class */ (function (_super) { var FaceLandmarkNet = /** @class */ (function (_super) {
tslib_1.__extends(FaceLandmarkNet, _super); __extends(FaceLandmarkNet, _super);
function FaceLandmarkNet() { function FaceLandmarkNet() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
......
build/es6/faceLandmarkNet/index.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/faceProcessor/FaceProcessor.js
import * as tslib_1 from "tslib"; import { __extends } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { NetInput, NeuralNetwork } from 'tfjs-image-recognition-base'; import { NetInput, NeuralNetwork } from 'tfjs-image-recognition-base';
import { fullyConnectedLayer } from '../common/fullyConnectedLayer'; import { fullyConnectedLayer } from '../common/fullyConnectedLayer';
...@@ -6,7 +6,7 @@ import { extractParams } from './extractParams'; ...@@ -6,7 +6,7 @@ import { extractParams } from './extractParams';
import { extractParamsFromWeigthMap } from './extractParamsFromWeigthMap'; import { extractParamsFromWeigthMap } from './extractParamsFromWeigthMap';
import { seperateWeightMaps } from './util'; import { seperateWeightMaps } from './util';
var FaceProcessor = /** @class */ (function (_super) { var FaceProcessor = /** @class */ (function (_super) {
tslib_1.__extends(FaceProcessor, _super); __extends(FaceProcessor, _super);
function FaceProcessor(_name, faceFeatureExtractor) { function FaceProcessor(_name, faceFeatureExtractor) {
var _this = _super.call(this, _name) || this; var _this = _super.call(this, _name) || this;
_this._faceFeatureExtractor = faceFeatureExtractor; _this._faceFeatureExtractor = faceFeatureExtractor;
......
build/es6/faceProcessor/FaceProcessor.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/faceRecognitionNet/FaceRecognitionNet.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { NeuralNetwork, normalize, toNetInput } from 'tfjs-image-recognition-base'; import { NeuralNetwork, normalize, toNetInput } from 'tfjs-image-recognition-base';
import { convDown } from './convLayer'; import { convDown } from './convLayer';
...@@ -6,7 +6,7 @@ import { extractParams } from './extractParams'; ...@@ -6,7 +6,7 @@ import { extractParams } from './extractParams';
import { extractParamsFromWeigthMap } from './extractParamsFromWeigthMap'; import { extractParamsFromWeigthMap } from './extractParamsFromWeigthMap';
import { residual, residualDown } from './residualLayer'; import { residual, residualDown } from './residualLayer';
var FaceRecognitionNet = /** @class */ (function (_super) { var FaceRecognitionNet = /** @class */ (function (_super) {
tslib_1.__extends(FaceRecognitionNet, _super); __extends(FaceRecognitionNet, _super);
function FaceRecognitionNet() { function FaceRecognitionNet() {
return _super.call(this, 'FaceRecognitionNet') || this; return _super.call(this, 'FaceRecognitionNet') || this;
} }
...@@ -41,9 +41,9 @@ var FaceRecognitionNet = /** @class */ (function (_super) { ...@@ -41,9 +41,9 @@ var FaceRecognitionNet = /** @class */ (function (_super) {
}); });
}; };
FaceRecognitionNet.prototype.forward = function (input) { FaceRecognitionNet.prototype.forward = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a; var _a;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = this.forwardInput; _a = this.forwardInput;
...@@ -54,10 +54,10 @@ var FaceRecognitionNet = /** @class */ (function (_super) { ...@@ -54,10 +54,10 @@ var FaceRecognitionNet = /** @class */ (function (_super) {
}); });
}; };
FaceRecognitionNet.prototype.computeFaceDescriptor = function (input) { FaceRecognitionNet.prototype.computeFaceDescriptor = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var netInput, faceDescriptorTensors, faceDescriptorsForBatch; var netInput, faceDescriptorTensors, faceDescriptorsForBatch;
var _this = this; var _this = this;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, toNetInput(input)]; case 0: return [4 /*yield*/, toNetInput(input)];
case 1: case 1:
......
build/es6/faceRecognitionNet/FaceRecognitionNet.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/faceRecognitionNet/residualLayer.js
import { __spreadArrays } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { conv, convDown, convNoRelu } from './convLayer'; import { conv, convDown, convNoRelu } from './convLayer';
export function residual(x, params) { export function residual(x, params) {
...@@ -15,11 +16,11 @@ export function residualDown(x, params) { ...@@ -15,11 +16,11 @@ export function residualDown(x, params) {
var isPad = pooled.shape[3] !== out.shape[3]; var isPad = pooled.shape[3] !== out.shape[3];
var isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2]; var isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2];
if (isAdjustShape) { if (isAdjustShape) {
var padShapeX = out.shape.slice(); var padShapeX = __spreadArrays(out.shape);
padShapeX[1] = 1; padShapeX[1] = 1;
var zerosW = tf.zeros(padShapeX); var zerosW = tf.zeros(padShapeX);
out = tf.concat([out, zerosW], 1); out = tf.concat([out, zerosW], 1);
var padShapeY = out.shape.slice(); var padShapeY = __spreadArrays(out.shape);
padShapeY[2] = 1; padShapeY[2] = 1;
var zerosH = tf.zeros(padShapeY); var zerosH = tf.zeros(padShapeY);
out = tf.concat([out, zerosH], 2); out = tf.concat([out, zerosH], 2);
......
build/es6/faceRecognitionNet/residualLayer.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/globalApi/ComposableTask.js
import * as tslib_1 from "tslib"; import { __awaiter, __generator } from "tslib";
var ComposableTask = /** @class */ (function () { var ComposableTask = /** @class */ (function () {
function ComposableTask() { function ComposableTask() {
} }
ComposableTask.prototype.then = function (onfulfilled) { ComposableTask.prototype.then = function (onfulfilled) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a; var _a;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = onfulfilled; _a = onfulfilled;
...@@ -16,8 +16,8 @@ var ComposableTask = /** @class */ (function () { ...@@ -16,8 +16,8 @@ var ComposableTask = /** @class */ (function () {
}); });
}; };
ComposableTask.prototype.run = function () { ComposableTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
throw new Error('ComposableTask - run is not implemented'); throw new Error('ComposableTask - run is not implemented');
}); });
}); });
......
build/es6/globalApi/ComputeFaceDescriptorsTasks.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import { extendWithFaceDescriptor } from '../factories/WithFaceDescriptor'; import { extendWithFaceDescriptor } from '../factories/WithFaceDescriptor';
import { ComposableTask } from './ComposableTask'; import { ComposableTask } from './ComposableTask';
import { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults'; import { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } from './extractFacesAndComputeResults';
...@@ -6,7 +6,7 @@ import { nets } from './nets'; ...@@ -6,7 +6,7 @@ import { nets } from './nets';
import { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask, } from './PredictAgeAndGenderTask'; import { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask, } from './PredictAgeAndGenderTask';
import { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask, } from './PredictFaceExpressionsTask'; import { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask, } from './PredictFaceExpressionsTask';
var ComputeFaceDescriptorsTaskBase = /** @class */ (function (_super) { var ComputeFaceDescriptorsTaskBase = /** @class */ (function (_super) {
tslib_1.__extends(ComputeFaceDescriptorsTaskBase, _super); __extends(ComputeFaceDescriptorsTaskBase, _super);
function ComputeFaceDescriptorsTaskBase(parentTask, input) { function ComputeFaceDescriptorsTaskBase(parentTask, input) {
var _this = _super.call(this) || this; var _this = _super.call(this) || this;
_this.parentTask = parentTask; _this.parentTask = parentTask;
...@@ -17,14 +17,14 @@ var ComputeFaceDescriptorsTaskBase = /** @class */ (function (_super) { ...@@ -17,14 +17,14 @@ var ComputeFaceDescriptorsTaskBase = /** @class */ (function (_super) {
}(ComposableTask)); }(ComposableTask));
export { ComputeFaceDescriptorsTaskBase }; export { ComputeFaceDescriptorsTaskBase };
var ComputeAllFaceDescriptorsTask = /** @class */ (function (_super) { var ComputeAllFaceDescriptorsTask = /** @class */ (function (_super) {
tslib_1.__extends(ComputeAllFaceDescriptorsTask, _super); __extends(ComputeAllFaceDescriptorsTask, _super);
function ComputeAllFaceDescriptorsTask() { function ComputeAllFaceDescriptorsTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
ComputeAllFaceDescriptorsTask.prototype.run = function () { ComputeAllFaceDescriptorsTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var parentResults, descriptors; var parentResults, descriptors;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, this.parentTask]; case 0: return [4 /*yield*/, this.parentTask];
case 1: case 1:
...@@ -49,14 +49,14 @@ var ComputeAllFaceDescriptorsTask = /** @class */ (function (_super) { ...@@ -49,14 +49,14 @@ var ComputeAllFaceDescriptorsTask = /** @class */ (function (_super) {
}(ComputeFaceDescriptorsTaskBase)); }(ComputeFaceDescriptorsTaskBase));
export { ComputeAllFaceDescriptorsTask }; export { ComputeAllFaceDescriptorsTask };
var ComputeSingleFaceDescriptorTask = /** @class */ (function (_super) { var ComputeSingleFaceDescriptorTask = /** @class */ (function (_super) {
tslib_1.__extends(ComputeSingleFaceDescriptorTask, _super); __extends(ComputeSingleFaceDescriptorTask, _super);
function ComputeSingleFaceDescriptorTask() { function ComputeSingleFaceDescriptorTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
ComputeSingleFaceDescriptorTask.prototype.run = function () { ComputeSingleFaceDescriptorTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var parentResult, descriptor; var parentResult, descriptor;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, this.parentTask]; case 0: return [4 /*yield*/, this.parentTask];
case 1: case 1:
......
build/es6/globalApi/ComputeFaceDescriptorsTasks.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/globalApi/DetectFaceLandmarksTasks.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { extractFaces, extractFaceTensors } from '../dom'; import { extractFaces, extractFaceTensors } from '../dom';
import { extendWithFaceLandmarks } from '../factories/WithFaceLandmarks'; import { extendWithFaceLandmarks } from '../factories/WithFaceLandmarks';
...@@ -8,7 +8,7 @@ import { nets } from './nets'; ...@@ -8,7 +8,7 @@ import { nets } from './nets';
import { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask, } from './PredictAgeAndGenderTask'; import { PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderWithFaceAlignmentTask, } from './PredictAgeAndGenderTask';
import { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask, } from './PredictFaceExpressionsTask'; import { PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsWithFaceAlignmentTask, } from './PredictFaceExpressionsTask';
var DetectFaceLandmarksTaskBase = /** @class */ (function (_super) { var DetectFaceLandmarksTaskBase = /** @class */ (function (_super) {
tslib_1.__extends(DetectFaceLandmarksTaskBase, _super); __extends(DetectFaceLandmarksTaskBase, _super);
function DetectFaceLandmarksTaskBase(parentTask, input, useTinyLandmarkNet) { function DetectFaceLandmarksTaskBase(parentTask, input, useTinyLandmarkNet) {
var _this = _super.call(this) || this; var _this = _super.call(this) || this;
_this.parentTask = parentTask; _this.parentTask = parentTask;
...@@ -29,15 +29,15 @@ var DetectFaceLandmarksTaskBase = /** @class */ (function (_super) { ...@@ -29,15 +29,15 @@ var DetectFaceLandmarksTaskBase = /** @class */ (function (_super) {
}(ComposableTask)); }(ComposableTask));
export { DetectFaceLandmarksTaskBase }; export { DetectFaceLandmarksTaskBase };
var DetectAllFaceLandmarksTask = /** @class */ (function (_super) { var DetectAllFaceLandmarksTask = /** @class */ (function (_super) {
tslib_1.__extends(DetectAllFaceLandmarksTask, _super); __extends(DetectAllFaceLandmarksTask, _super);
function DetectAllFaceLandmarksTask() { function DetectAllFaceLandmarksTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
DetectAllFaceLandmarksTask.prototype.run = function () { DetectAllFaceLandmarksTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var parentResults, detections, faces, _a, faceLandmarksByFace; var parentResults, detections, faces, _a, faceLandmarksByFace;
var _this = this; var _this = this;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: return [4 /*yield*/, this.parentTask]; case 0: return [4 /*yield*/, this.parentTask];
case 1: case 1:
...@@ -78,14 +78,14 @@ var DetectAllFaceLandmarksTask = /** @class */ (function (_super) { ...@@ -78,14 +78,14 @@ var DetectAllFaceLandmarksTask = /** @class */ (function (_super) {
}(DetectFaceLandmarksTaskBase)); }(DetectFaceLandmarksTaskBase));
export { DetectAllFaceLandmarksTask }; export { DetectAllFaceLandmarksTask };
var DetectSingleFaceLandmarksTask = /** @class */ (function (_super) { var DetectSingleFaceLandmarksTask = /** @class */ (function (_super) {
tslib_1.__extends(DetectSingleFaceLandmarksTask, _super); __extends(DetectSingleFaceLandmarksTask, _super);
function DetectSingleFaceLandmarksTask() { function DetectSingleFaceLandmarksTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
DetectSingleFaceLandmarksTask.prototype.run = function () { DetectSingleFaceLandmarksTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var parentResult, detection, faces, _a, landmarks; var parentResult, detection, faces, _a, landmarks;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: return [4 /*yield*/, this.parentTask]; case 0: return [4 /*yield*/, this.parentTask];
case 1: case 1:
......
build/es6/globalApi/DetectFaceLandmarksTasks.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/globalApi/DetectFacesTasks.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base'; import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
import { extendWithFaceDetection } from '../factories/WithFaceDetection'; import { extendWithFaceDetection } from '../factories/WithFaceDetection';
import { MtcnnOptions } from '../mtcnn/MtcnnOptions'; import { MtcnnOptions } from '../mtcnn/MtcnnOptions';
...@@ -10,7 +10,7 @@ import { nets } from './nets'; ...@@ -10,7 +10,7 @@ import { nets } from './nets';
import { PredictAllAgeAndGenderTask, PredictSingleAgeAndGenderTask } from './PredictAgeAndGenderTask'; import { PredictAllAgeAndGenderTask, PredictSingleAgeAndGenderTask } from './PredictAgeAndGenderTask';
import { PredictAllFaceExpressionsTask, PredictSingleFaceExpressionsTask } from './PredictFaceExpressionsTask'; import { PredictAllFaceExpressionsTask, PredictSingleFaceExpressionsTask } from './PredictFaceExpressionsTask';
var DetectFacesTaskBase = /** @class */ (function (_super) { var DetectFacesTaskBase = /** @class */ (function (_super) {
tslib_1.__extends(DetectFacesTaskBase, _super); __extends(DetectFacesTaskBase, _super);
function DetectFacesTaskBase(input, options) { function DetectFacesTaskBase(input, options) {
if (options === void 0) { options = new SsdMobilenetv1Options(); } if (options === void 0) { options = new SsdMobilenetv1Options(); }
var _this = _super.call(this) || this; var _this = _super.call(this) || this;
...@@ -22,14 +22,14 @@ var DetectFacesTaskBase = /** @class */ (function (_super) { ...@@ -22,14 +22,14 @@ var DetectFacesTaskBase = /** @class */ (function (_super) {
}(ComposableTask)); }(ComposableTask));
export { DetectFacesTaskBase }; export { DetectFacesTaskBase };
var DetectAllFacesTask = /** @class */ (function (_super) { var DetectAllFacesTask = /** @class */ (function (_super) {
tslib_1.__extends(DetectAllFacesTask, _super); __extends(DetectAllFacesTask, _super);
function DetectAllFacesTask() { function DetectAllFacesTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
DetectAllFacesTask.prototype.run = function () { DetectAllFacesTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a, input, options, faceDetectionFunction; var _a, input, options, faceDetectionFunction;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = this, input = _a.input, options = _a.options; _a = this, input = _a.input, options = _a.options;
...@@ -55,9 +55,9 @@ var DetectAllFacesTask = /** @class */ (function (_super) { ...@@ -55,9 +55,9 @@ var DetectAllFacesTask = /** @class */ (function (_super) {
}; };
DetectAllFacesTask.prototype.runAndExtendWithFaceDetections = function () { DetectAllFacesTask.prototype.runAndExtendWithFaceDetections = function () {
var _this = this; var _this = this;
return new Promise(function (res) { return tslib_1.__awaiter(_this, void 0, void 0, function () { return new Promise(function (res) { return __awaiter(_this, void 0, void 0, function () {
var detections; var detections;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, this.run()]; case 0: return [4 /*yield*/, this.run()];
case 1: case 1:
...@@ -81,14 +81,14 @@ var DetectAllFacesTask = /** @class */ (function (_super) { ...@@ -81,14 +81,14 @@ var DetectAllFacesTask = /** @class */ (function (_super) {
}(DetectFacesTaskBase)); }(DetectFacesTaskBase));
export { DetectAllFacesTask }; export { DetectAllFacesTask };
var DetectSingleFaceTask = /** @class */ (function (_super) { var DetectSingleFaceTask = /** @class */ (function (_super) {
tslib_1.__extends(DetectSingleFaceTask, _super); __extends(DetectSingleFaceTask, _super);
function DetectSingleFaceTask() { function DetectSingleFaceTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
DetectSingleFaceTask.prototype.run = function () { DetectSingleFaceTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var faceDetections, faceDetectionWithHighestScore; var faceDetections, faceDetectionWithHighestScore;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, new DetectAllFacesTask(this.input, this.options)]; case 0: return [4 /*yield*/, new DetectAllFacesTask(this.input, this.options)];
case 1: case 1:
...@@ -106,9 +106,9 @@ var DetectSingleFaceTask = /** @class */ (function (_super) { ...@@ -106,9 +106,9 @@ var DetectSingleFaceTask = /** @class */ (function (_super) {
}; };
DetectSingleFaceTask.prototype.runAndExtendWithFaceDetection = function () { DetectSingleFaceTask.prototype.runAndExtendWithFaceDetection = function () {
var _this = this; var _this = this;
return new Promise(function (res) { return tslib_1.__awaiter(_this, void 0, void 0, function () { return new Promise(function (res) { return __awaiter(_this, void 0, void 0, function () {
var detection; var detection;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, this.run()]; case 0: return [4 /*yield*/, this.run()];
case 1: case 1:
......
build/es6/globalApi/DetectFacesTasks.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/globalApi/FaceMatcher.d.ts
...@@ -10,4 +10,6 @@ export declare class FaceMatcher { ...@@ -10,4 +10,6 @@ export declare class FaceMatcher {
computeMeanDistance(queryDescriptor: Float32Array, descriptors: Float32Array[]): number; computeMeanDistance(queryDescriptor: Float32Array, descriptors: Float32Array[]): number;
matchDescriptor(queryDescriptor: Float32Array): FaceMatch; matchDescriptor(queryDescriptor: Float32Array): FaceMatch;
findBestMatch(queryDescriptor: Float32Array): FaceMatch; findBestMatch(queryDescriptor: Float32Array): FaceMatch;
toJSON(): any;
static fromJSON(json: any): FaceMatcher;
} }
build/es6/globalApi/FaceMatcher.js
...@@ -55,6 +55,17 @@ var FaceMatcher = /** @class */ (function () { ...@@ -55,6 +55,17 @@ var FaceMatcher = /** @class */ (function () {
? bestMatch ? bestMatch
: new FaceMatch('unknown', bestMatch.distance); : new FaceMatch('unknown', bestMatch.distance);
}; };
FaceMatcher.prototype.toJSON = function () {
return {
distanceThreshold: this.distanceThreshold,
labeledDescriptors: this.labeledDescriptors.map(function (ld) { return ld.toJSON(); })
};
};
FaceMatcher.fromJSON = function (json) {
var labeledDescriptors = json.labeledDescriptors
.map(function (ld) { return LabeledFaceDescriptors.fromJSON(ld); });
return new FaceMatcher(labeledDescriptors, json.distanceThreshold);
};
return FaceMatcher; return FaceMatcher;
}()); }());
export { FaceMatcher }; export { FaceMatcher };
......
build/es6/globalApi/FaceMatcher.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/globalApi/PredictAgeAndGenderTask.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import { extendWithAge } from '../factories/WithAge'; import { extendWithAge } from '../factories/WithAge';
import { extendWithGender } from '../factories/WithGender'; import { extendWithGender } from '../factories/WithGender';
import { ComposableTask } from './ComposableTask'; import { ComposableTask } from './ComposableTask';
...@@ -7,7 +7,7 @@ import { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } f ...@@ -7,7 +7,7 @@ import { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } f
import { nets } from './nets'; import { nets } from './nets';
import { PredictAllFaceExpressionsTask, PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsTask, PredictSingleFaceExpressionsWithFaceAlignmentTask, } from './PredictFaceExpressionsTask'; import { PredictAllFaceExpressionsTask, PredictAllFaceExpressionsWithFaceAlignmentTask, PredictSingleFaceExpressionsTask, PredictSingleFaceExpressionsWithFaceAlignmentTask, } from './PredictFaceExpressionsTask';
var PredictAgeAndGenderTaskBase = /** @class */ (function (_super) { var PredictAgeAndGenderTaskBase = /** @class */ (function (_super) {
tslib_1.__extends(PredictAgeAndGenderTaskBase, _super); __extends(PredictAgeAndGenderTaskBase, _super);
function PredictAgeAndGenderTaskBase(parentTask, input, extractedFaces) { function PredictAgeAndGenderTaskBase(parentTask, input, extractedFaces) {
var _this = _super.call(this) || this; var _this = _super.call(this) || this;
_this.parentTask = parentTask; _this.parentTask = parentTask;
...@@ -19,21 +19,21 @@ var PredictAgeAndGenderTaskBase = /** @class */ (function (_super) { ...@@ -19,21 +19,21 @@ var PredictAgeAndGenderTaskBase = /** @class */ (function (_super) {
}(ComposableTask)); }(ComposableTask));
export { PredictAgeAndGenderTaskBase }; export { PredictAgeAndGenderTaskBase };
var PredictAllAgeAndGenderTask = /** @class */ (function (_super) { var PredictAllAgeAndGenderTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictAllAgeAndGenderTask, _super); __extends(PredictAllAgeAndGenderTask, _super);
function PredictAllAgeAndGenderTask() { function PredictAllAgeAndGenderTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
PredictAllAgeAndGenderTask.prototype.run = function () { PredictAllAgeAndGenderTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var parentResults, ageAndGenderByFace; var parentResults, ageAndGenderByFace;
var _this = this; var _this = this;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, this.parentTask]; case 0: return [4 /*yield*/, this.parentTask];
case 1: case 1:
parentResults = _a.sent(); parentResults = _a.sent();
return [4 /*yield*/, extractAllFacesAndComputeResults(parentResults, this.input, function (faces) { return tslib_1.__awaiter(_this, void 0, void 0, function () { return [4 /*yield*/, extractAllFacesAndComputeResults(parentResults, this.input, function (faces) { return __awaiter(_this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, Promise.all(faces.map(function (face) { return nets.ageGenderNet.predictAgeAndGender(face); }))]; case 0: return [4 /*yield*/, Promise.all(faces.map(function (face) { return nets.ageGenderNet.predictAgeAndGender(face); }))];
case 1: return [2 /*return*/, _a.sent()]; case 1: return [2 /*return*/, _a.sent()];
...@@ -57,14 +57,14 @@ var PredictAllAgeAndGenderTask = /** @class */ (function (_super) { ...@@ -57,14 +57,14 @@ var PredictAllAgeAndGenderTask = /** @class */ (function (_super) {
}(PredictAgeAndGenderTaskBase)); }(PredictAgeAndGenderTaskBase));
export { PredictAllAgeAndGenderTask }; export { PredictAllAgeAndGenderTask };
var PredictSingleAgeAndGenderTask = /** @class */ (function (_super) { var PredictSingleAgeAndGenderTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictSingleAgeAndGenderTask, _super); __extends(PredictSingleAgeAndGenderTask, _super);
function PredictSingleAgeAndGenderTask() { function PredictSingleAgeAndGenderTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
PredictSingleAgeAndGenderTask.prototype.run = function () { PredictSingleAgeAndGenderTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var parentResult, _a, age, gender, genderProbability; var parentResult, _a, age, gender, genderProbability;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: return [4 /*yield*/, this.parentTask]; case 0: return [4 /*yield*/, this.parentTask];
case 1: case 1:
...@@ -87,7 +87,7 @@ var PredictSingleAgeAndGenderTask = /** @class */ (function (_super) { ...@@ -87,7 +87,7 @@ var PredictSingleAgeAndGenderTask = /** @class */ (function (_super) {
}(PredictAgeAndGenderTaskBase)); }(PredictAgeAndGenderTaskBase));
export { PredictSingleAgeAndGenderTask }; export { PredictSingleAgeAndGenderTask };
var PredictAllAgeAndGenderWithFaceAlignmentTask = /** @class */ (function (_super) { var PredictAllAgeAndGenderWithFaceAlignmentTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictAllAgeAndGenderWithFaceAlignmentTask, _super); __extends(PredictAllAgeAndGenderWithFaceAlignmentTask, _super);
function PredictAllAgeAndGenderWithFaceAlignmentTask() { function PredictAllAgeAndGenderWithFaceAlignmentTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
...@@ -101,7 +101,7 @@ var PredictAllAgeAndGenderWithFaceAlignmentTask = /** @class */ (function (_supe ...@@ -101,7 +101,7 @@ var PredictAllAgeAndGenderWithFaceAlignmentTask = /** @class */ (function (_supe
}(PredictAllAgeAndGenderTask)); }(PredictAllAgeAndGenderTask));
export { PredictAllAgeAndGenderWithFaceAlignmentTask }; export { PredictAllAgeAndGenderWithFaceAlignmentTask };
var PredictSingleAgeAndGenderWithFaceAlignmentTask = /** @class */ (function (_super) { var PredictSingleAgeAndGenderWithFaceAlignmentTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictSingleAgeAndGenderWithFaceAlignmentTask, _super); __extends(PredictSingleAgeAndGenderWithFaceAlignmentTask, _super);
function PredictSingleAgeAndGenderWithFaceAlignmentTask() { function PredictSingleAgeAndGenderWithFaceAlignmentTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
......
build/es6/globalApi/PredictAgeAndGenderTask.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/globalApi/PredictFaceExpressionsTask.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import { extendWithFaceExpressions } from '../factories/WithFaceExpressions'; import { extendWithFaceExpressions } from '../factories/WithFaceExpressions';
import { ComposableTask } from './ComposableTask'; import { ComposableTask } from './ComposableTask';
import { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks'; import { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';
...@@ -6,7 +6,7 @@ import { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } f ...@@ -6,7 +6,7 @@ import { extractAllFacesAndComputeResults, extractSingleFaceAndComputeResult } f
import { nets } from './nets'; import { nets } from './nets';
import { PredictAllAgeAndGenderTask, PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderTask, PredictSingleAgeAndGenderWithFaceAlignmentTask, } from './PredictAgeAndGenderTask'; import { PredictAllAgeAndGenderTask, PredictAllAgeAndGenderWithFaceAlignmentTask, PredictSingleAgeAndGenderTask, PredictSingleAgeAndGenderWithFaceAlignmentTask, } from './PredictAgeAndGenderTask';
var PredictFaceExpressionsTaskBase = /** @class */ (function (_super) { var PredictFaceExpressionsTaskBase = /** @class */ (function (_super) {
tslib_1.__extends(PredictFaceExpressionsTaskBase, _super); __extends(PredictFaceExpressionsTaskBase, _super);
function PredictFaceExpressionsTaskBase(parentTask, input, extractedFaces) { function PredictFaceExpressionsTaskBase(parentTask, input, extractedFaces) {
var _this = _super.call(this) || this; var _this = _super.call(this) || this;
_this.parentTask = parentTask; _this.parentTask = parentTask;
...@@ -18,21 +18,21 @@ var PredictFaceExpressionsTaskBase = /** @class */ (function (_super) { ...@@ -18,21 +18,21 @@ var PredictFaceExpressionsTaskBase = /** @class */ (function (_super) {
}(ComposableTask)); }(ComposableTask));
export { PredictFaceExpressionsTaskBase }; export { PredictFaceExpressionsTaskBase };
var PredictAllFaceExpressionsTask = /** @class */ (function (_super) { var PredictAllFaceExpressionsTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictAllFaceExpressionsTask, _super); __extends(PredictAllFaceExpressionsTask, _super);
function PredictAllFaceExpressionsTask() { function PredictAllFaceExpressionsTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
PredictAllFaceExpressionsTask.prototype.run = function () { PredictAllFaceExpressionsTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var parentResults, faceExpressionsByFace; var parentResults, faceExpressionsByFace;
var _this = this; var _this = this;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, this.parentTask]; case 0: return [4 /*yield*/, this.parentTask];
case 1: case 1:
parentResults = _a.sent(); parentResults = _a.sent();
return [4 /*yield*/, extractAllFacesAndComputeResults(parentResults, this.input, function (faces) { return tslib_1.__awaiter(_this, void 0, void 0, function () { return [4 /*yield*/, extractAllFacesAndComputeResults(parentResults, this.input, function (faces) { return __awaiter(_this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, Promise.all(faces.map(function (face) { return nets.faceExpressionNet.predictExpressions(face); }))]; case 0: return [4 /*yield*/, Promise.all(faces.map(function (face) { return nets.faceExpressionNet.predictExpressions(face); }))];
case 1: return [2 /*return*/, _a.sent()]; case 1: return [2 /*return*/, _a.sent()];
...@@ -53,14 +53,14 @@ var PredictAllFaceExpressionsTask = /** @class */ (function (_super) { ...@@ -53,14 +53,14 @@ var PredictAllFaceExpressionsTask = /** @class */ (function (_super) {
}(PredictFaceExpressionsTaskBase)); }(PredictFaceExpressionsTaskBase));
export { PredictAllFaceExpressionsTask }; export { PredictAllFaceExpressionsTask };
var PredictSingleFaceExpressionsTask = /** @class */ (function (_super) { var PredictSingleFaceExpressionsTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictSingleFaceExpressionsTask, _super); __extends(PredictSingleFaceExpressionsTask, _super);
function PredictSingleFaceExpressionsTask() { function PredictSingleFaceExpressionsTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
PredictSingleFaceExpressionsTask.prototype.run = function () { PredictSingleFaceExpressionsTask.prototype.run = function () {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var parentResult, faceExpressions; var parentResult, faceExpressions;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, this.parentTask]; case 0: return [4 /*yield*/, this.parentTask];
case 1: case 1:
...@@ -83,7 +83,7 @@ var PredictSingleFaceExpressionsTask = /** @class */ (function (_super) { ...@@ -83,7 +83,7 @@ var PredictSingleFaceExpressionsTask = /** @class */ (function (_super) {
}(PredictFaceExpressionsTaskBase)); }(PredictFaceExpressionsTaskBase));
export { PredictSingleFaceExpressionsTask }; export { PredictSingleFaceExpressionsTask };
var PredictAllFaceExpressionsWithFaceAlignmentTask = /** @class */ (function (_super) { var PredictAllFaceExpressionsWithFaceAlignmentTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictAllFaceExpressionsWithFaceAlignmentTask, _super); __extends(PredictAllFaceExpressionsWithFaceAlignmentTask, _super);
function PredictAllFaceExpressionsWithFaceAlignmentTask() { function PredictAllFaceExpressionsWithFaceAlignmentTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
...@@ -97,7 +97,7 @@ var PredictAllFaceExpressionsWithFaceAlignmentTask = /** @class */ (function (_s ...@@ -97,7 +97,7 @@ var PredictAllFaceExpressionsWithFaceAlignmentTask = /** @class */ (function (_s
}(PredictAllFaceExpressionsTask)); }(PredictAllFaceExpressionsTask));
export { PredictAllFaceExpressionsWithFaceAlignmentTask }; export { PredictAllFaceExpressionsWithFaceAlignmentTask };
var PredictSingleFaceExpressionsWithFaceAlignmentTask = /** @class */ (function (_super) { var PredictSingleFaceExpressionsWithFaceAlignmentTask = /** @class */ (function (_super) {
tslib_1.__extends(PredictSingleFaceExpressionsWithFaceAlignmentTask, _super); __extends(PredictSingleFaceExpressionsWithFaceAlignmentTask, _super);
function PredictSingleFaceExpressionsWithFaceAlignmentTask() { function PredictSingleFaceExpressionsWithFaceAlignmentTask() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
......
build/es6/globalApi/PredictFaceExpressionsTask.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/globalApi/allFaces.js
import * as tslib_1 from "tslib"; import { __awaiter, __generator } from "tslib";
import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base'; import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
import { MtcnnOptions } from '../mtcnn/MtcnnOptions'; import { MtcnnOptions } from '../mtcnn/MtcnnOptions';
import { SsdMobilenetv1Options } from '../ssdMobilenetv1'; import { SsdMobilenetv1Options } from '../ssdMobilenetv1';
import { detectAllFaces } from './detectFaces'; import { detectAllFaces } from './detectFaces';
// export allFaces API for backward compatibility // export allFaces API for backward compatibility
export function allFacesSsdMobilenetv1(input, minConfidence) { export function allFacesSsdMobilenetv1(input, minConfidence) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, detectAllFaces(input, new SsdMobilenetv1Options(minConfidence ? { minConfidence: minConfidence } : {})) case 0: return [4 /*yield*/, detectAllFaces(input, new SsdMobilenetv1Options(minConfidence ? { minConfidence: minConfidence } : {}))
.withFaceLandmarks() .withFaceLandmarks()
...@@ -18,8 +18,8 @@ export function allFacesSsdMobilenetv1(input, minConfidence) { ...@@ -18,8 +18,8 @@ export function allFacesSsdMobilenetv1(input, minConfidence) {
} }
export function allFacesTinyYolov2(input, forwardParams) { export function allFacesTinyYolov2(input, forwardParams) {
if (forwardParams === void 0) { forwardParams = {}; } if (forwardParams === void 0) { forwardParams = {}; }
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, detectAllFaces(input, new TfjsImageRecognitionBase.TinyYolov2Options(forwardParams)) case 0: return [4 /*yield*/, detectAllFaces(input, new TfjsImageRecognitionBase.TinyYolov2Options(forwardParams))
.withFaceLandmarks() .withFaceLandmarks()
...@@ -31,8 +31,8 @@ export function allFacesTinyYolov2(input, forwardParams) { ...@@ -31,8 +31,8 @@ export function allFacesTinyYolov2(input, forwardParams) {
} }
export function allFacesMtcnn(input, forwardParams) { export function allFacesMtcnn(input, forwardParams) {
if (forwardParams === void 0) { forwardParams = {}; } if (forwardParams === void 0) { forwardParams = {}; }
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, detectAllFaces(input, new MtcnnOptions(forwardParams)) case 0: return [4 /*yield*/, detectAllFaces(input, new MtcnnOptions(forwardParams))
.withFaceLandmarks() .withFaceLandmarks()
......
build/es6/globalApi/extractFacesAndComputeResults.js
import * as tslib_1 from "tslib"; import { __awaiter, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { extractFaces, extractFaceTensors } from '../dom'; import { extractFaces, extractFaceTensors } from '../dom';
import { isWithFaceLandmarks } from '../factories/WithFaceLandmarks'; import { isWithFaceLandmarks } from '../factories/WithFaceLandmarks';
...@@ -7,9 +7,9 @@ export function extractAllFacesAndComputeResults(parentResults, input, computeRe ...@@ -7,9 +7,9 @@ export function extractAllFacesAndComputeResults(parentResults, input, computeRe
var alignedRect = _a.alignedRect; var alignedRect = _a.alignedRect;
return alignedRect; return alignedRect;
}; } }; }
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var faceBoxes, faces, _a, _b, results; var faceBoxes, faces, _a, _b, results;
return tslib_1.__generator(this, function (_c) { return __generator(this, function (_c) {
switch (_c.label) { switch (_c.label) {
case 0: case 0:
faceBoxes = parentResults.map(function (parentResult) { faceBoxes = parentResults.map(function (parentResult) {
...@@ -43,10 +43,10 @@ export function extractAllFacesAndComputeResults(parentResults, input, computeRe ...@@ -43,10 +43,10 @@ export function extractAllFacesAndComputeResults(parentResults, input, computeRe
}); });
} }
export function extractSingleFaceAndComputeResult(parentResult, input, computeResult, extractedFaces, getRectForAlignment) { export function extractSingleFaceAndComputeResult(parentResult, input, computeResult, extractedFaces, getRectForAlignment) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _this = this; var _this = this;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
return [2 /*return*/, extractAllFacesAndComputeResults([parentResult], input, function (faces) { return tslib_1.__awaiter(_this, void 0, void 0, function () { return tslib_1.__generator(this, function (_a) { return [2 /*return*/, extractAllFacesAndComputeResults([parentResult], input, function (faces) { return __awaiter(_this, void 0, void 0, function () { return __generator(this, function (_a) {
return [2 /*return*/, computeResult(faces[0])]; return [2 /*return*/, computeResult(faces[0])];
}); }); }, extractedFaces, getRectForAlignment)]; }); }); }, extractedFaces, getRectForAlignment)];
}); });
......
build/es6/index.d.ts
...@@ -6,9 +6,9 @@ export * from 'tfjs-image-recognition-base'; ...@@ -6,9 +6,9 @@ export * from 'tfjs-image-recognition-base';
export * from './ageGenderNet/index'; export * from './ageGenderNet/index';
declare const draw: { declare const draw: {
drawContour(ctx: CanvasRenderingContext2D, points: import("tfjs-image-recognition-base").Point[], isClosed?: boolean): void; drawContour(ctx: CanvasRenderingContext2D, points: import("tfjs-image-recognition-base").Point[], isClosed?: boolean): void;
drawDetections(canvasArg: string | HTMLCanvasElement, detections: import("tfjs-image-recognition-base").IRect | import("tfjs-image-recognition-base").IBoundingBox | import("./classes").FaceDetection | { drawDetections(canvasArg: string | HTMLCanvasElement, detections: import("./classes").FaceDetection | import("tfjs-image-recognition-base").IRect | {
detection: import("./classes").FaceDetection; detection: import("./classes").FaceDetection;
} | drawExtended.TDrawDetectionsInput[]): void; } | import("tfjs-image-recognition-base").IBoundingBox | drawExtended.TDrawDetectionsInput[]): void;
drawFaceExpressions(canvasArg: string | HTMLCanvasElement, faceExpressions: import("./faceExpressionNet").FaceExpressions | { drawFaceExpressions(canvasArg: string | HTMLCanvasElement, faceExpressions: import("./faceExpressionNet").FaceExpressions | {
expressions: import("./faceExpressionNet").FaceExpressions; expressions: import("./faceExpressionNet").FaceExpressions;
} | drawExtended.DrawFaceExpressionsInput[], minConfidence?: number, textFieldAnchor?: import("tfjs-image-recognition-base").IPoint | undefined): void; } | drawExtended.DrawFaceExpressionsInput[], minConfidence?: number, textFieldAnchor?: import("tfjs-image-recognition-base").IPoint | undefined): void;
......
build/es6/index.js
import * as tslib_1 from "tslib"; import { __assign } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { draw as drawBase } from 'tfjs-image-recognition-base'; import { draw as drawBase } from 'tfjs-image-recognition-base';
import * as drawExtended from './draw'; import * as drawExtended from './draw';
export { tf }; export { tf };
export * from 'tfjs-image-recognition-base'; export * from 'tfjs-image-recognition-base';
export * from './ageGenderNet/index'; export * from './ageGenderNet/index';
var draw = tslib_1.__assign({}, drawBase, drawExtended); var draw = __assign(__assign({}, drawBase), drawExtended);
export { draw }; export { draw };
export * from './classes/index'; export * from './classes/index';
export * from './dom/index'; export * from './dom/index';
......
build/es6/index.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/mtcnn/Mtcnn.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { NeuralNetwork, Point, Rect, toNetInput } from 'tfjs-image-recognition-base'; import { NeuralNetwork, Point, Rect, toNetInput } from 'tfjs-image-recognition-base';
import { FaceDetection } from '../classes/FaceDetection'; import { FaceDetection } from '../classes/FaceDetection';
...@@ -15,15 +15,15 @@ import { stage1 } from './stage1'; ...@@ -15,15 +15,15 @@ import { stage1 } from './stage1';
import { stage2 } from './stage2'; import { stage2 } from './stage2';
import { stage3 } from './stage3'; import { stage3 } from './stage3';
var Mtcnn = /** @class */ (function (_super) { var Mtcnn = /** @class */ (function (_super) {
tslib_1.__extends(Mtcnn, _super); __extends(Mtcnn, _super);
function Mtcnn() { function Mtcnn() {
return _super.call(this, 'Mtcnn') || this; return _super.call(this, 'Mtcnn') || this;
} }
Mtcnn.prototype.forwardInput = function (input, forwardParams) { Mtcnn.prototype.forwardInput = function (input, forwardParams) {
if (forwardParams === void 0) { forwardParams = {}; } if (forwardParams === void 0) { forwardParams = {}; }
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var params, inputCanvas, stats, tsTotal, imgTensor, onReturn, _a, height, width, _b, minFaceSize, scaleFactor, maxNumScales, scoreThresholds, scaleSteps, scales, ts, out1, out2, out3, results; var params, inputCanvas, stats, tsTotal, imgTensor, onReturn, _a, height, width, _b, minFaceSize, scaleFactor, maxNumScales, scoreThresholds, scaleSteps, scales, ts, out1, out2, out3, results;
return tslib_1.__generator(this, function (_c) { return __generator(this, function (_c) {
switch (_c.label) { switch (_c.label) {
case 0: case 0:
params = this.params; params = this.params;
...@@ -91,9 +91,9 @@ var Mtcnn = /** @class */ (function (_super) { ...@@ -91,9 +91,9 @@ var Mtcnn = /** @class */ (function (_super) {
}; };
Mtcnn.prototype.forward = function (input, forwardParams) { Mtcnn.prototype.forward = function (input, forwardParams) {
if (forwardParams === void 0) { forwardParams = {}; } if (forwardParams === void 0) { forwardParams = {}; }
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a; var _a;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = this.forwardInput; _a = this.forwardInput;
...@@ -107,9 +107,9 @@ var Mtcnn = /** @class */ (function (_super) { ...@@ -107,9 +107,9 @@ var Mtcnn = /** @class */ (function (_super) {
}; };
Mtcnn.prototype.forwardWithStats = function (input, forwardParams) { Mtcnn.prototype.forwardWithStats = function (input, forwardParams) {
if (forwardParams === void 0) { forwardParams = {}; } if (forwardParams === void 0) { forwardParams = {}; }
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a; var _a;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = this.forwardInput; _a = this.forwardInput;
......
build/es6/mtcnn/Mtcnn.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/mtcnn/MtcnnBox.js
import * as tslib_1 from "tslib"; import { __extends } from "tslib";
import { Box } from 'tfjs-image-recognition-base'; import { Box } from 'tfjs-image-recognition-base';
var MtcnnBox = /** @class */ (function (_super) { var MtcnnBox = /** @class */ (function (_super) {
tslib_1.__extends(MtcnnBox, _super); __extends(MtcnnBox, _super);
function MtcnnBox(left, top, right, bottom) { function MtcnnBox(left, top, right, bottom) {
return _super.call(this, { left: left, top: top, right: right, bottom: bottom }, true) || this; return _super.call(this, { left: left, top: top, right: right, bottom: bottom }, true) || this;
} }
......
build/es6/mtcnn/MtcnnBox.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/mtcnn/extractImagePatches.js
import * as tslib_1 from "tslib"; import { __awaiter, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { createCanvas, createCanvasFromMedia, env, getContext2dOrThrow, } from 'tfjs-image-recognition-base'; import { createCanvas, createCanvasFromMedia, env, getContext2dOrThrow, } from 'tfjs-image-recognition-base';
import { normalize } from './normalize'; import { normalize } from './normalize';
export function extractImagePatches(img, boxes, _a) { export function extractImagePatches(img, boxes, _a) {
var width = _a.width, height = _a.height; var width = _a.width, height = _a.height;
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var imgCtx, bitmaps, imagePatchesDatas; var imgCtx, bitmaps, imagePatchesDatas;
var _this = this; var _this = this;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
imgCtx = getContext2dOrThrow(img); imgCtx = getContext2dOrThrow(img);
return [4 /*yield*/, Promise.all(boxes.map(function (box) { return tslib_1.__awaiter(_this, void 0, void 0, function () { return [4 /*yield*/, Promise.all(boxes.map(function (box) { return __awaiter(_this, void 0, void 0, function () {
var _a, y, ey, x, ex, fromX, fromY, imgData; var _a, y, ey, x, ex, fromX, fromY, imgData;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
_a = box.padAtBorders(img.height, img.width), y = _a.y, ey = _a.ey, x = _a.x, ex = _a.ex; _a = box.padAtBorders(img.height, img.width), y = _a.y, ey = _a.ey, x = _a.x, ex = _a.ex;
fromX = x - 1; fromX = x - 1;
fromY = y - 1; fromY = y - 1;
......
build/es6/mtcnn/extractParams.js
import * as tslib_1 from "tslib"; import { __assign } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base'; import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
function extractorsFactory(extractWeights, paramMappings) { function extractorsFactory(extractWeights, paramMappings) {
...@@ -23,7 +23,7 @@ function extractorsFactory(extractWeights, paramMappings) { ...@@ -23,7 +23,7 @@ function extractorsFactory(extractWeights, paramMappings) {
var sharedParams = extractSharedParams([3, 10, 16, 32], 'pnet'); var sharedParams = extractSharedParams([3, 10, 16, 32], 'pnet');
var conv4_1 = extractConvParams(32, 2, 1, 'pnet/conv4_1'); var conv4_1 = extractConvParams(32, 2, 1, 'pnet/conv4_1');
var conv4_2 = extractConvParams(32, 4, 1, 'pnet/conv4_2'); var conv4_2 = extractConvParams(32, 4, 1, 'pnet/conv4_2');
return tslib_1.__assign({}, sharedParams, { conv4_1: conv4_1, conv4_2: conv4_2 }); return __assign(__assign({}, sharedParams), { conv4_1: conv4_1, conv4_2: conv4_2 });
} }
function extractRNetParams() { function extractRNetParams() {
var sharedParams = extractSharedParams([3, 28, 48, 64], 'rnet', true); var sharedParams = extractSharedParams([3, 28, 48, 64], 'rnet', true);
...@@ -31,7 +31,7 @@ function extractorsFactory(extractWeights, paramMappings) { ...@@ -31,7 +31,7 @@ function extractorsFactory(extractWeights, paramMappings) {
var prelu4_alpha = extractPReluParams(128, 'rnet/prelu4_alpha'); var prelu4_alpha = extractPReluParams(128, 'rnet/prelu4_alpha');
var fc2_1 = extractFCParams(128, 2, 'rnet/fc2_1'); var fc2_1 = extractFCParams(128, 2, 'rnet/fc2_1');
var fc2_2 = extractFCParams(128, 4, 'rnet/fc2_2'); var fc2_2 = extractFCParams(128, 4, 'rnet/fc2_2');
return tslib_1.__assign({}, sharedParams, { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 }); return __assign(__assign({}, sharedParams), { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 });
} }
function extractONetParams() { function extractONetParams() {
var sharedParams = extractSharedParams([3, 32, 64, 64], 'onet'); var sharedParams = extractSharedParams([3, 32, 64, 64], 'onet');
...@@ -42,7 +42,7 @@ function extractorsFactory(extractWeights, paramMappings) { ...@@ -42,7 +42,7 @@ function extractorsFactory(extractWeights, paramMappings) {
var fc2_1 = extractFCParams(256, 2, 'onet/fc2_1'); var fc2_1 = extractFCParams(256, 2, 'onet/fc2_1');
var fc2_2 = extractFCParams(256, 4, 'onet/fc2_2'); var fc2_2 = extractFCParams(256, 4, 'onet/fc2_2');
var fc2_3 = extractFCParams(256, 10, 'onet/fc2_3'); var fc2_3 = extractFCParams(256, 10, 'onet/fc2_3');
return tslib_1.__assign({}, sharedParams, { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 }); return __assign(__assign({}, sharedParams), { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 });
} }
return { return {
extractPNetParams: extractPNetParams, extractPNetParams: extractPNetParams,
......
build/es6/mtcnn/extractParams.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/mtcnn/extractParamsFromWeigthMap.js
import * as tslib_1 from "tslib"; import { __assign } from "tslib";
import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base'; import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
function extractorsFactory(weightMap, paramMappings) { function extractorsFactory(weightMap, paramMappings) {
var extractWeightEntry = TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings); var extractWeightEntry = TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
...@@ -28,7 +28,7 @@ function extractorsFactory(weightMap, paramMappings) { ...@@ -28,7 +28,7 @@ function extractorsFactory(weightMap, paramMappings) {
var sharedParams = extractSharedParams('pnet'); var sharedParams = extractSharedParams('pnet');
var conv4_1 = extractConvParams('pnet/conv4_1'); var conv4_1 = extractConvParams('pnet/conv4_1');
var conv4_2 = extractConvParams('pnet/conv4_2'); var conv4_2 = extractConvParams('pnet/conv4_2');
return tslib_1.__assign({}, sharedParams, { conv4_1: conv4_1, conv4_2: conv4_2 }); return __assign(__assign({}, sharedParams), { conv4_1: conv4_1, conv4_2: conv4_2 });
} }
function extractRNetParams() { function extractRNetParams() {
var sharedParams = extractSharedParams('rnet'); var sharedParams = extractSharedParams('rnet');
...@@ -36,7 +36,7 @@ function extractorsFactory(weightMap, paramMappings) { ...@@ -36,7 +36,7 @@ function extractorsFactory(weightMap, paramMappings) {
var prelu4_alpha = extractPReluParams('rnet/prelu4_alpha'); var prelu4_alpha = extractPReluParams('rnet/prelu4_alpha');
var fc2_1 = extractFCParams('rnet/fc2_1'); var fc2_1 = extractFCParams('rnet/fc2_1');
var fc2_2 = extractFCParams('rnet/fc2_2'); var fc2_2 = extractFCParams('rnet/fc2_2');
return tslib_1.__assign({}, sharedParams, { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 }); return __assign(__assign({}, sharedParams), { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 });
} }
function extractONetParams() { function extractONetParams() {
var sharedParams = extractSharedParams('onet'); var sharedParams = extractSharedParams('onet');
...@@ -47,7 +47,7 @@ function extractorsFactory(weightMap, paramMappings) { ...@@ -47,7 +47,7 @@ function extractorsFactory(weightMap, paramMappings) {
var fc2_1 = extractFCParams('onet/fc2_1'); var fc2_1 = extractFCParams('onet/fc2_1');
var fc2_2 = extractFCParams('onet/fc2_2'); var fc2_2 = extractFCParams('onet/fc2_2');
var fc2_3 = extractFCParams('onet/fc2_3'); var fc2_3 = extractFCParams('onet/fc2_3');
return tslib_1.__assign({}, sharedParams, { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 }); return __assign(__assign({}, sharedParams), { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 });
} }
return { return {
extractPNetParams: extractPNetParams, extractPNetParams: extractPNetParams,
......
build/es6/mtcnn/extractParamsFromWeigthMap.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/mtcnn/stage2.js
import * as tslib_1 from "tslib"; import { __awaiter, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { nonMaxSuppression } from 'tfjs-image-recognition-base'; import { nonMaxSuppression } from 'tfjs-image-recognition-base';
import { extractImagePatches } from './extractImagePatches'; import { extractImagePatches } from './extractImagePatches';
import { MtcnnBox } from './MtcnnBox'; import { MtcnnBox } from './MtcnnBox';
import { RNet } from './RNet'; import { RNet } from './RNet';
export function stage2(img, inputBoxes, scoreThreshold, params, stats) { export function stage2(img, inputBoxes, scoreThreshold, params, stats) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var ts, rnetInputs, rnetOuts, scoresTensor, scores, _a, _b, indices, filteredBoxes, filteredScores, finalBoxes, finalScores, indicesNms, regions_1; var ts, rnetInputs, rnetOuts, scoresTensor, scores, _a, _b, indices, filteredBoxes, filteredScores, finalBoxes, finalScores, indicesNms, regions_1;
return tslib_1.__generator(this, function (_c) { return __generator(this, function (_c) {
switch (_c.label) { switch (_c.label) {
case 0: case 0:
ts = Date.now(); ts = Date.now();
......
build/es6/mtcnn/stage3.js
import * as tslib_1 from "tslib"; import { __awaiter, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { nonMaxSuppression, Point } from 'tfjs-image-recognition-base'; import { nonMaxSuppression, Point } from 'tfjs-image-recognition-base';
import { extractImagePatches } from './extractImagePatches'; import { extractImagePatches } from './extractImagePatches';
import { MtcnnBox } from './MtcnnBox'; import { MtcnnBox } from './MtcnnBox';
import { ONet } from './ONet'; import { ONet } from './ONet';
export function stage3(img, inputBoxes, scoreThreshold, params, stats) { export function stage3(img, inputBoxes, scoreThreshold, params, stats) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var ts, onetInputs, onetOuts, scoresTensor, scores, _a, _b, indices, filteredRegions, filteredBoxes, filteredScores, finalBoxes, finalScores, points, indicesNms; var ts, onetInputs, onetOuts, scoresTensor, scores, _a, _b, indices, filteredRegions, filteredBoxes, filteredScores, finalBoxes, finalScores, points, indicesNms;
return tslib_1.__generator(this, function (_c) { return __generator(this, function (_c) {
switch (_c.label) { switch (_c.label) {
case 0: case 0:
ts = Date.now(); ts = Date.now();
......
build/es6/ssdMobilenetv1/SsdMobilenetv1.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { NeuralNetwork, Rect, toNetInput } from 'tfjs-image-recognition-base'; import { NeuralNetwork, Rect, toNetInput } from 'tfjs-image-recognition-base';
import { FaceDetection } from '../classes/FaceDetection'; import { FaceDetection } from '../classes/FaceDetection';
...@@ -10,7 +10,7 @@ import { outputLayer } from './outputLayer'; ...@@ -10,7 +10,7 @@ import { outputLayer } from './outputLayer';
import { predictionLayer } from './predictionLayer'; import { predictionLayer } from './predictionLayer';
import { SsdMobilenetv1Options } from './SsdMobilenetv1Options'; import { SsdMobilenetv1Options } from './SsdMobilenetv1Options';
var SsdMobilenetv1 = /** @class */ (function (_super) { var SsdMobilenetv1 = /** @class */ (function (_super) {
tslib_1.__extends(SsdMobilenetv1, _super); __extends(SsdMobilenetv1, _super);
function SsdMobilenetv1() { function SsdMobilenetv1() {
return _super.call(this, 'SsdMobilenetv1') || this; return _super.call(this, 'SsdMobilenetv1') || this;
} }
...@@ -28,9 +28,9 @@ var SsdMobilenetv1 = /** @class */ (function (_super) { ...@@ -28,9 +28,9 @@ var SsdMobilenetv1 = /** @class */ (function (_super) {
}); });
}; };
SsdMobilenetv1.prototype.forward = function (input) { SsdMobilenetv1.prototype.forward = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a; var _a;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = this.forwardInput; _a = this.forwardInput;
...@@ -42,9 +42,9 @@ var SsdMobilenetv1 = /** @class */ (function (_super) { ...@@ -42,9 +42,9 @@ var SsdMobilenetv1 = /** @class */ (function (_super) {
}; };
SsdMobilenetv1.prototype.locateFaces = function (input, options) { SsdMobilenetv1.prototype.locateFaces = function (input, options) {
if (options === void 0) { options = {}; } if (options === void 0) { options = {}; }
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a, maxResults, minConfidence, netInput, _b, _boxes, _scores, boxes, scores, i, scoresData, _c, _d, iouThreshold, indices, reshapedDims, inputSize, padX, padY, boxesData, results; var _a, maxResults, minConfidence, netInput, _b, _boxes, _scores, boxes, scores, i, scoresData, _c, _d, iouThreshold, indices, reshapedDims, inputSize, padX, padY, boxesData, results;
return tslib_1.__generator(this, function (_e) { return __generator(this, function (_e) {
switch (_e.label) { switch (_e.label) {
case 0: case 0:
_a = new SsdMobilenetv1Options(options), maxResults = _a.maxResults, minConfidence = _a.minConfidence; _a = new SsdMobilenetv1Options(options), maxResults = _a.maxResults, minConfidence = _a.minConfidence;
......
build/es6/ssdMobilenetv1/SsdMobilenetv1.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/ssdMobilenetv1/index.js
import * as tslib_1 from "tslib"; import { __extends } from "tslib";
import { SsdMobilenetv1 } from './SsdMobilenetv1'; import { SsdMobilenetv1 } from './SsdMobilenetv1';
export * from './SsdMobilenetv1'; export * from './SsdMobilenetv1';
export * from './SsdMobilenetv1Options'; export * from './SsdMobilenetv1Options';
...@@ -12,7 +12,7 @@ export function createFaceDetectionNet(weights) { ...@@ -12,7 +12,7 @@ export function createFaceDetectionNet(weights) {
} }
// alias for backward compatibily // alias for backward compatibily
var FaceDetectionNet = /** @class */ (function (_super) { var FaceDetectionNet = /** @class */ (function (_super) {
tslib_1.__extends(FaceDetectionNet, _super); __extends(FaceDetectionNet, _super);
function FaceDetectionNet() { function FaceDetectionNet() {
return _super !== null && _super.apply(this, arguments) || this; return _super !== null && _super.apply(this, arguments) || this;
} }
......
build/es6/ssdMobilenetv1/index.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/tinyFaceDetector/TinyFaceDetector.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base'; import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
import { FaceDetection } from '../classes'; import { FaceDetection } from '../classes';
import { BOX_ANCHORS, IOU_THRESHOLD, MEAN_RGB } from './const'; import { BOX_ANCHORS, IOU_THRESHOLD, MEAN_RGB } from './const';
var TinyFaceDetector = /** @class */ (function (_super) { var TinyFaceDetector = /** @class */ (function (_super) {
tslib_1.__extends(TinyFaceDetector, _super); __extends(TinyFaceDetector, _super);
function TinyFaceDetector() { function TinyFaceDetector() {
var _this = this; var _this = this;
var config = { var config = {
...@@ -26,9 +26,9 @@ var TinyFaceDetector = /** @class */ (function (_super) { ...@@ -26,9 +26,9 @@ var TinyFaceDetector = /** @class */ (function (_super) {
configurable: true configurable: true
}); });
TinyFaceDetector.prototype.locateFaces = function (input, forwardParams) { TinyFaceDetector.prototype.locateFaces = function (input, forwardParams) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var objectDetections; var objectDetections;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, this.detect(input, forwardParams)]; case 0: return [4 /*yield*/, this.detect(input, forwardParams)];
case 1: case 1:
......
build/es6/tinyFaceDetector/TinyFaceDetector.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/tinyFaceDetector/TinyFaceDetectorOptions.js
import * as tslib_1 from "tslib"; import { __extends } from "tslib";
import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base'; import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
var TinyFaceDetectorOptions = /** @class */ (function (_super) { var TinyFaceDetectorOptions = /** @class */ (function (_super) {
tslib_1.__extends(TinyFaceDetectorOptions, _super); __extends(TinyFaceDetectorOptions, _super);
function TinyFaceDetectorOptions() { function TinyFaceDetectorOptions() {
var _this = _super !== null && _super.apply(this, arguments) || this; var _this = _super !== null && _super.apply(this, arguments) || this;
_this._name = 'TinyFaceDetectorOptions'; _this._name = 'TinyFaceDetectorOptions';
......
build/es6/tinyFaceDetector/TinyFaceDetectorOptions.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/tinyYolov2/TinyYolov2.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base'; import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
import { FaceDetection } from '../classes'; import { FaceDetection } from '../classes';
import { BOX_ANCHORS, BOX_ANCHORS_SEPARABLE, DEFAULT_MODEL_NAME, DEFAULT_MODEL_NAME_SEPARABLE_CONV, IOU_THRESHOLD, MEAN_RGB_SEPARABLE, } from './const'; import { BOX_ANCHORS, BOX_ANCHORS_SEPARABLE, DEFAULT_MODEL_NAME, DEFAULT_MODEL_NAME_SEPARABLE_CONV, IOU_THRESHOLD, MEAN_RGB_SEPARABLE, } from './const';
var TinyYolov2 = /** @class */ (function (_super) { var TinyYolov2 = /** @class */ (function (_super) {
tslib_1.__extends(TinyYolov2, _super); __extends(TinyYolov2, _super);
function TinyYolov2(withSeparableConvs) { function TinyYolov2(withSeparableConvs) {
if (withSeparableConvs === void 0) { withSeparableConvs = true; } if (withSeparableConvs === void 0) { withSeparableConvs = true; }
var _this = this; var _this = this;
...@@ -38,9 +38,9 @@ var TinyYolov2 = /** @class */ (function (_super) { ...@@ -38,9 +38,9 @@ var TinyYolov2 = /** @class */ (function (_super) {
configurable: true configurable: true
}); });
TinyYolov2.prototype.locateFaces = function (input, forwardParams) { TinyYolov2.prototype.locateFaces = function (input, forwardParams) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var objectDetections; var objectDetections;
return tslib_1.__generator(this, function (_a) { return __generator(this, function (_a) {
switch (_a.label) { switch (_a.label) {
case 0: return [4 /*yield*/, this.detect(input, forwardParams)]; case 0: return [4 /*yield*/, this.detect(input, forwardParams)];
case 1: case 1:
......
build/es6/tinyYolov2/TinyYolov2.js.map
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\ No newline at end of file \ No newline at end of file
build/es6/xception/TinyXception.js
import * as tslib_1 from "tslib"; import { __awaiter, __extends, __generator } from "tslib";
import * as tf from '@tensorflow/tfjs-core'; import * as tf from '@tensorflow/tfjs-core';
import { NeuralNetwork, normalize, range, toNetInput, } from 'tfjs-image-recognition-base'; import { NeuralNetwork, normalize, range, toNetInput, } from 'tfjs-image-recognition-base';
import { depthwiseSeparableConv } from '../common/depthwiseSeparableConv'; import { depthwiseSeparableConv } from '../common/depthwiseSeparableConv';
...@@ -24,7 +24,7 @@ function mainBlock(x, params) { ...@@ -24,7 +24,7 @@ function mainBlock(x, params) {
return out; return out;
} }
var TinyXception = /** @class */ (function (_super) { var TinyXception = /** @class */ (function (_super) {
tslib_1.__extends(TinyXception, _super); __extends(TinyXception, _super);
function TinyXception(numMainBlocks) { function TinyXception(numMainBlocks) {
var _this = _super.call(this, 'TinyXception') || this; var _this = _super.call(this, 'TinyXception') || this;
_this._numMainBlocks = numMainBlocks; _this._numMainBlocks = numMainBlocks;
...@@ -52,9 +52,9 @@ var TinyXception = /** @class */ (function (_super) { ...@@ -52,9 +52,9 @@ var TinyXception = /** @class */ (function (_super) {
}); });
}; };
TinyXception.prototype.forward = function (input) { TinyXception.prototype.forward = function (input) {
return tslib_1.__awaiter(this, void 0, void 0, function () { return __awaiter(this, void 0, void 0, function () {
var _a; var _a;
return tslib_1.__generator(this, function (_b) { return __generator(this, function (_b) {
switch (_b.label) { switch (_b.label) {
case 0: case 0:
_a = this.forwardInput; _a = this.forwardInput;
......
build/es6/xception/TinyXception.js.map
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