@tensorflow-models/coco-ssd
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Object detection model (coco-ssd) in TensorFlow.js
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JavaScript
;
/**
* @license
* Copyright 2018 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
*
* http://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 __assign = (this && this.__assign) || Object.assign || function(t) {
for (var s, i = 1, n = arguments.length; i < n; i++) {
s = arguments[i];
for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p))
t[p] = s[p];
}
return t;
};
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
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) : new P(function (resolve) { resolve(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;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {
case 0: case 1: t = op; break;
case 4: _.label++; return { value: op[1], done: false };
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if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
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op = body.call(thisArg, _);
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if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
}
};
Object.defineProperty(exports, "__esModule", { value: true });
var PassthroughLoader = /** @class */ (function () {
function PassthroughLoader(modelTopology, weightSpecs, weightData) {
this.modelTopology = modelTopology;
this.weightSpecs = weightSpecs;
this.weightData = weightData;
}
PassthroughLoader.prototype.load = function () {
return __awaiter(this, void 0, void 0, function () {
var result;
return __generator(this, function (_a) {
result = {};
if (this.modelTopology != null) {
result = __assign({ modelTopology: this.modelTopology }, result);
}
if (this.weightSpecs != null && this.weightSpecs.length > 0) {
result = __assign({ weightSpecs: this.weightSpecs }, result);
}
if (this.weightData != null && this.weightData.byteLength > 0) {
result = __assign({ weightData: this.weightData }, result);
}
return [2 /*return*/, result];
});
});
};
return PassthroughLoader;
}());
var PassthroughSaver = /** @class */ (function () {
function PassthroughSaver(saveHandler) {
this.saveHandler = saveHandler;
}
PassthroughSaver.prototype.save = function (modelArtifacts) {
return __awaiter(this, void 0, void 0, function () {
return __generator(this, function (_a) {
return [2 /*return*/, this.saveHandler(modelArtifacts)];
});
});
};
return PassthroughSaver;
}());
/**
* Creates an IOHandler that loads model artifacts from memory.
*
* When used in conjunction with `tf.loadModel`, an instance of `tf.Model`
* (Keras-style) can be constructed from the loaded artifacts.
*
* ```js
* const model = await tf.loadModel(tf.io.fromMemory(
* modelTopology, weightSpecs, weightData));
* ```
*
* @param modelTopology a object containing model topology (i.e., parsed from
* the JSON format).
* @param weightSpecs An array of `WeightsManifestEntry` objects describing the
* names, shapes, types, and quantization of the weight data.
* @param weightData A single `ArrayBuffer` containing the weight data,
* concatenated in the order described by the weightSpecs.
*
* @returns A passthrough `IOHandler` that simply loads the provided data.
*/
function fromMemory(modelTopology, weightSpecs, weightData) {
return new PassthroughLoader(modelTopology, weightSpecs, weightData);
}
exports.fromMemory = fromMemory;
/**
* Creates an IOHandler that passes saved model artifacts to a callback.
*
* ```js
* function handleSave(artifacts) {
* // ... do something with the artifacts ...
* return {modelArtifactsInfo: {...}, ...};
* }
*
* const saveResult = model.save(tf.io.withSaveHandler(handleSave));
* ```
*
* @param saveHandler A function that accepts a `ModelArtifacts` and returns a
* `SaveResult`.
*/
function withSaveHandler(saveHandler) {
return new PassthroughSaver(saveHandler);
}
exports.withSaveHandler = withSaveHandler;
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