97 lines
5.1 KiB
JavaScript
97 lines
5.1 KiB
JavaScript
"use strict";
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/**
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* @license
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* Copyright 2019 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* https://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
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return new (P || (P = Promise))(function (resolve, reject) {
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function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
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function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
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function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
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step((generator = generator.apply(thisArg, _arguments || [])).next());
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});
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};
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var __generator = (this && this.__generator) || function (thisArg, body) {
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var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
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return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
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function verb(n) { return function (v) { return step([n, v]); }; }
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function step(op) {
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if (f) throw new TypeError("Generator is already executing.");
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while (_) try {
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if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
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if (y = 0, t) op = [op[0] & 2, t.value];
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switch (op[0]) {
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case 0: case 1: t = op; break;
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case 4: _.label++; return { value: op[1], done: false };
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case 5: _.label++; y = op[1]; op = [0]; continue;
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case 7: op = _.ops.pop(); _.trys.pop(); continue;
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default:
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if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
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if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
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if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
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if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
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if (t[2]) _.ops.pop();
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_.trys.pop(); continue;
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}
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op = body.call(thisArg, _);
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} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
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if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
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}
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};
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Object.defineProperty(exports, "__esModule", { value: true });
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var tfconv = require("@tensorflow/tfjs-converter");
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var face_1 = require("./face");
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var BLAZEFACE_MODEL_URL = 'https://tfhub.dev/tensorflow/tfjs-model/blazeface/1/default/1';
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/**
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* Load blazeface.
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*
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* @param config A configuration object with the following properties:
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* `maxFaces` The maximum number of faces returned by the model.
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* `inputWidth` The width of the input image.
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* `inputHeight` The height of the input image.
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* `iouThreshold` The threshold for deciding whether boxes overlap too
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* much.
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* `scoreThreshold` The threshold for deciding when to remove boxes based
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* on score.
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*/
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function load(_a) {
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var _b = _a === void 0 ? {} : _a, _c = _b.maxFaces, maxFaces = _c === void 0 ? 10 : _c, _d = _b.inputWidth, inputWidth = _d === void 0 ? 128 : _d, _e = _b.inputHeight, inputHeight = _e === void 0 ? 128 : _e, _f = _b.iouThreshold, iouThreshold = _f === void 0 ? 0.3 : _f, _g = _b.scoreThreshold, scoreThreshold = _g === void 0 ? 0.75 : _g, modelUrl = _b.modelUrl;
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return __awaiter(this, void 0, void 0, function () {
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var blazeface, model;
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return __generator(this, function (_h) {
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switch (_h.label) {
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case 0:
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if (!(modelUrl != null)) return [3 /*break*/, 2];
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return [4 /*yield*/, tfconv.loadGraphModel(modelUrl)];
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case 1:
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blazeface = _h.sent();
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return [3 /*break*/, 4];
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case 2: return [4 /*yield*/, tfconv.loadGraphModel(BLAZEFACE_MODEL_URL, {
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fromTFHub: true,
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})];
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case 3:
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blazeface = _h.sent();
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_h.label = 4;
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case 4:
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model = new face_1.BlazeFaceModel(blazeface, inputWidth, inputHeight, maxFaces, iouThreshold, scoreThreshold);
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return [2 /*return*/, model];
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}
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});
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});
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}
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exports.load = load;
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var face_2 = require("./face");
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exports.BlazeFaceModel = face_2.BlazeFaceModel;
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//# sourceMappingURL=index.js.map
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