@tensorflow-models/body-pix
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Pretrained BodyPix model in TensorFlow.js
38 lines • 1.55 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
*
* 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 });
exports.argmax2d = void 0;
var tf = require("@tensorflow/tfjs-core");
function mod(a, b) {
return tf.tidy(function () {
var floored = tf.div(a, tf.scalar(b, 'int32'));
return tf.sub(a, tf.mul(floored, tf.scalar(b, 'int32')));
});
}
function argmax2d(inputs) {
var _a = inputs.shape, height = _a[0], width = _a[1], depth = _a[2];
return tf.tidy(function () {
var reshaped = tf.reshape(inputs, [height * width, depth]);
var coords = tf.argMax(reshaped, 0);
var yCoords = tf.expandDims(tf.div(coords, tf.scalar(width, 'int32')), 1);
var xCoords = tf.expandDims(mod(coords, width), 1);
return tf.concat([yCoords, xCoords], 1);
});
}
exports.argmax2d = argmax2d;
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