import * as tslib_1 from "tslib"; import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base'; import { FaceDetection } from '../classes'; import { BOX_ANCHORS, IOU_THRESHOLD, MEAN_RGB } from './const'; var TinyFaceDetector = /** @class */ (function (_super) { tslib_1.__extends(TinyFaceDetector, _super); function TinyFaceDetector() { var _this = this; var config = { withSeparableConvs: true, iouThreshold: IOU_THRESHOLD, classes: ['face'], anchors: BOX_ANCHORS, meanRgb: MEAN_RGB, isFirstLayerConv2d: true, filterSizes: [3, 16, 32, 64, 128, 256, 512] }; _this = _super.call(this, config) || this; return _this; } Object.defineProperty(TinyFaceDetector.prototype, "anchors", { get: function () { return this.config.anchors; }, enumerable: true, configurable: true }); TinyFaceDetector.prototype.locateFaces = function (input, forwardParams) { return tslib_1.__awaiter(this, void 0, void 0, function () { var objectDetections; return tslib_1.__generator(this, function (_a) { switch (_a.label) { case 0: return [4 /*yield*/, this.detect(input, forwardParams)]; case 1: objectDetections = _a.sent(); return [2 /*return*/, objectDetections.map(function (det) { return new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }); })]; } }); }); }; TinyFaceDetector.prototype.getDefaultModelName = function () { return 'tiny_face_detector_model'; }; TinyFaceDetector.prototype.extractParamsFromWeigthMap = function (weightMap) { return _super.prototype.extractParamsFromWeigthMap.call(this, weightMap); }; return TinyFaceDetector; }(TfjsImageRecognitionBase.TinyYolov2)); export { TinyFaceDetector }; //# sourceMappingURL=TinyFaceDetector.js.map