134 lines
No EOL
7.2 KiB
JavaScript
134 lines
No EOL
7.2 KiB
JavaScript
import * as tslib_1 from "tslib";
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import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
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import { extendWithFaceDetection } from '../factories/WithFaceDetection';
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import { MtcnnOptions } from '../mtcnn/MtcnnOptions';
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import { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';
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import { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';
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import { ComposableTask } from './ComposableTask';
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import { DetectAllFaceLandmarksTask, DetectSingleFaceLandmarksTask } from './DetectFaceLandmarksTasks';
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import { nets } from './nets';
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import { PredictAllAgeAndGenderTask, PredictSingleAgeAndGenderTask } from './PredictAgeAndGenderTask';
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import { PredictAllFaceExpressionsTask, PredictSingleFaceExpressionsTask } from './PredictFaceExpressionsTask';
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var DetectFacesTaskBase = /** @class */ (function (_super) {
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tslib_1.__extends(DetectFacesTaskBase, _super);
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function DetectFacesTaskBase(input, options) {
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if (options === void 0) { options = new SsdMobilenetv1Options(); }
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var _this = _super.call(this) || this;
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_this.input = input;
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_this.options = options;
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return _this;
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}
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return DetectFacesTaskBase;
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}(ComposableTask));
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export { DetectFacesTaskBase };
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var DetectAllFacesTask = /** @class */ (function (_super) {
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tslib_1.__extends(DetectAllFacesTask, _super);
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function DetectAllFacesTask() {
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return _super !== null && _super.apply(this, arguments) || this;
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}
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DetectAllFacesTask.prototype.run = function () {
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return tslib_1.__awaiter(this, void 0, void 0, function () {
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var _a, input, options, faceDetectionFunction;
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return tslib_1.__generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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_a = this, input = _a.input, options = _a.options;
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if (!(options instanceof MtcnnOptions)) return [3 /*break*/, 2];
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return [4 /*yield*/, nets.mtcnn.forward(input, options)];
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case 1: return [2 /*return*/, (_b.sent())
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.map(function (result) { return result.detection; })];
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case 2:
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faceDetectionFunction = options instanceof TinyFaceDetectorOptions
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? function (input) { return nets.tinyFaceDetector.locateFaces(input, options); }
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: (options instanceof SsdMobilenetv1Options
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? function (input) { return nets.ssdMobilenetv1.locateFaces(input, options); }
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: (options instanceof TfjsImageRecognitionBase.TinyYolov2Options
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? function (input) { return nets.tinyYolov2.locateFaces(input, options); }
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: null));
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if (!faceDetectionFunction) {
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throw new Error('detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | MtcnnOptions | TinyYolov2Options');
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}
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return [2 /*return*/, faceDetectionFunction(input)];
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}
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});
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});
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};
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DetectAllFacesTask.prototype.runAndExtendWithFaceDetections = function () {
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var _this = this;
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return new Promise(function (res) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
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var detections;
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return tslib_1.__generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, this.run()];
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case 1:
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detections = _a.sent();
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return [2 /*return*/, res(detections.map(function (detection) { return extendWithFaceDetection({}, detection); }))];
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}
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});
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}); });
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};
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DetectAllFacesTask.prototype.withFaceLandmarks = function (useTinyLandmarkNet) {
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if (useTinyLandmarkNet === void 0) { useTinyLandmarkNet = false; }
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return new DetectAllFaceLandmarksTask(this.runAndExtendWithFaceDetections(), this.input, useTinyLandmarkNet);
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};
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DetectAllFacesTask.prototype.withFaceExpressions = function () {
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return new PredictAllFaceExpressionsTask(this.runAndExtendWithFaceDetections(), this.input);
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};
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DetectAllFacesTask.prototype.withAgeAndGender = function () {
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return new PredictAllAgeAndGenderTask(this.runAndExtendWithFaceDetections(), this.input);
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};
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return DetectAllFacesTask;
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}(DetectFacesTaskBase));
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export { DetectAllFacesTask };
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var DetectSingleFaceTask = /** @class */ (function (_super) {
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tslib_1.__extends(DetectSingleFaceTask, _super);
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function DetectSingleFaceTask() {
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return _super !== null && _super.apply(this, arguments) || this;
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}
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DetectSingleFaceTask.prototype.run = function () {
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return tslib_1.__awaiter(this, void 0, void 0, function () {
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var faceDetections, faceDetectionWithHighestScore;
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return tslib_1.__generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, new DetectAllFacesTask(this.input, this.options)];
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case 1:
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faceDetections = _a.sent();
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faceDetectionWithHighestScore = faceDetections[0];
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faceDetections.forEach(function (faceDetection) {
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if (faceDetection.score > faceDetectionWithHighestScore.score) {
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faceDetectionWithHighestScore = faceDetection;
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}
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});
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return [2 /*return*/, faceDetectionWithHighestScore];
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}
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});
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});
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};
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DetectSingleFaceTask.prototype.runAndExtendWithFaceDetection = function () {
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var _this = this;
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return new Promise(function (res) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
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var detection;
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return tslib_1.__generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, this.run()];
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case 1:
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detection = _a.sent();
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return [2 /*return*/, res(detection ? extendWithFaceDetection({}, detection) : undefined)];
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}
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});
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}); });
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};
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DetectSingleFaceTask.prototype.withFaceLandmarks = function (useTinyLandmarkNet) {
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if (useTinyLandmarkNet === void 0) { useTinyLandmarkNet = false; }
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return new DetectSingleFaceLandmarksTask(this.runAndExtendWithFaceDetection(), this.input, useTinyLandmarkNet);
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};
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DetectSingleFaceTask.prototype.withFaceExpressions = function () {
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return new PredictSingleFaceExpressionsTask(this.runAndExtendWithFaceDetection(), this.input);
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};
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DetectSingleFaceTask.prototype.withAgeAndGender = function () {
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return new PredictSingleAgeAndGenderTask(this.runAndExtendWithFaceDetection(), this.input);
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};
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return DetectSingleFaceTask;
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}(DetectFacesTaskBase));
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export { DetectSingleFaceTask };
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//# sourceMappingURL=DetectFacesTasks.js.map
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