61 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			TypeScript
		
	
	
	
	
	
			
		
		
	
	
			61 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			TypeScript
		
	
	
	
	
	
| /**
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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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|  * http://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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| import * as tf from '@tensorflow/tfjs-core';
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| 
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| /**
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|  * A dataset for webcam controls which allows the user to add example Tensors
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|  * for particular labels. This object will concat them into two large xs and ys.
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|  */
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| export class Dataset {
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|   xs: tf.Tensor[];
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|   ys: tf.Tensor;
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|   constructor(public numClasses: number) {}
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| 
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|   /**
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|    * Adds an example to the controller dataset.
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|    * @param {Tensor} example A tensor representing the example.
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|    *    It can be an image, an activation, or any other type of Tensor.
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|    * @param {number} label The label of the example. Should be an number.
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|    */
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|   addExample(example: tf.Tensor|tf.Tensor[], label: number) {
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|     example = Array.isArray(example) ? example : [example];
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|     // One-hot encode the label.
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|     const y =
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|         tf.tidy(() => tf.oneHot(tf.tensor1d([label]).toInt(), this.numClasses));
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| 
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|     if (this.xs == null) {
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|       // For the first example that gets added, keep example and y so that the
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|       // Dataset owns the memory of the inputs. This makes sure that
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|       // if addExample() is called in a tf.tidy(), these Tensors will not get
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|       // disposed.
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|       this.xs = example.map(tensor => tf.keep(tensor));
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|       this.ys = tf.keep(y);
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|     } else {
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|       const oldX = this.xs;
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|       this.xs = example.map(
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|           (tensor, index) => tf.keep(this.xs[index].concat(tensor, 0)));
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| 
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|       const oldY = this.ys;
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|       this.ys = tf.keep(oldY.concat(y, 0));
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| 
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|       oldX.forEach(tensor => tensor.dispose());
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|       oldY.dispose();
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|       y.dispose();
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|     }
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|   }
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| }
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