tfjs-model-blazeface
Version:
tfjs model blazeface for local environment
110 lines (109 loc) • 6.18 kB
JavaScript
;
/**
* @license
* Copyright 2019 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
var __generator = (this && this.__generator) || function (thisArg, body) {
var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
function verb(n) { return function (v) { return step([n, v]); }; }
function step(op) {
if (f) throw new TypeError("Generator is already executing.");
while (_) try {
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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switch (op[0]) {
case 0: case 1: t = op; break;
case 4: _.label++; return { value: op[1], done: false };
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}
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.load = exports.initialize = exports.DEFAULT_BLAZEFACE_MODEL_NAME = exports.DEFAULT_BLAZEFACE_MODLE_URL = void 0;
var tf = require("@tensorflow/tfjs");
var face_1 = require("./face");
var tfjs_model_load_util_1 = require("tfjs-model-load-util");
exports.DEFAULT_BLAZEFACE_MODLE_URL = 'https://unpkg.com/local-tfjs-models@0.0.1/blazeface/google/model.json';
exports.DEFAULT_BLAZEFACE_MODEL_NAME = 'BLAZEFACE_CACHE_KEY';
// call this at the very beginning when the page is laoding...
// this function is used to cache models in indexedDB in advance.
function initialize(modelUrl, modelName) {
if (modelUrl === void 0) { modelUrl = exports.DEFAULT_BLAZEFACE_MODLE_URL; }
if (modelName === void 0) { modelName = exports.DEFAULT_BLAZEFACE_MODEL_NAME; }
return __awaiter(this, void 0, void 0, function () {
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, tfjs_model_load_util_1.loadArtifactFromCache(modelUrl, modelName)];
case 1:
_a.sent();
return [2 /*return*/, true];
}
});
});
}
exports.initialize = initialize;
/**
* Load blazeface.
*
* @param config A configuration object with the following properties:
* `maxFaces` The maximum number of faces returned by the model.
* `inputWidth` The width of the input image.
* `inputHeight` The height of the input image.
* `iouThreshold` The threshold for deciding whether boxes overlap too
* much.
* `scoreThreshold` The threshold for deciding when to remove boxes based
* on score.
*/
function load(_a, modelUrl, modelName) {
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;
if (modelUrl === void 0) { modelUrl = exports.DEFAULT_BLAZEFACE_MODLE_URL; }
if (modelName === void 0) { modelName = exports.DEFAULT_BLAZEFACE_MODEL_NAME; }
return __awaiter(this, void 0, void 0, function () {
var blazeface, model;
return __generator(this, function (_h) {
switch (_h.label) {
case 0: return [4 /*yield*/, tf.loadGraphModel(tfjs_model_load_util_1.createCustomLoader(modelUrl, modelName))];
case 1:
blazeface = _h.sent();
model = new face_1.BlazeFaceModel(blazeface, inputWidth, inputHeight, maxFaces, iouThreshold, scoreThreshold);
return [2 /*return*/, model];
}
});
});
}
exports.load = load;
var face_2 = require("./face");
Object.defineProperty(exports, "BlazeFaceModel", { enumerable: true, get: function () { return face_2.BlazeFaceModel; } });