@tensorflow-models/coco-ssd
Version:
Object detection model (coco-ssd) in TensorFlow.js
41 lines • 1.58 kB
JavaScript
/**
* @license
* Copyright 2017 Google Inc. 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.
* =============================================================================
*/
Object.defineProperty(exports, "__esModule", { value: true });
var delayCallback = (function () {
if (typeof requestAnimationFrame !== 'undefined') {
return requestAnimationFrame;
}
else if (typeof setImmediate !== 'undefined') {
return setImmediate;
}
return function (f) { return f(); }; // no delays
})();
/**
* Returns a promise that resolve when a requestAnimationFrame has completed.
*
* On Node.js this uses setImmediate instead of requestAnimationFrame.
*
* This is simply a sugar method so that users can do the following:
* `await tf.nextFrame();`
*/
/** @doc {heading: 'Performance', subheading: 'Timing'} */
function nextFrame() {
return new Promise(function (resolve) { return delayCallback(function () { return resolve(); }); });
}
exports.nextFrame = nextFrame;
//# sourceMappingURL=browser_util.js.map
;