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@tensorflow-models/body-pix

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Pretrained BodyPix model in TensorFlow.js

github.com/tensorflow/tfjs-models

tensorflow/tfjs-models

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/** * @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. * ============================================================================= */ import * as tf from '@tensorflow/tfjs-core'; /** * Takes the sigmoid of the segmentation output, and generates a segmentation * mask with a 1 or 0 at each pixel where there is a person or not a person. The * segmentation threshold determines the threshold of a score for a pixel for it * to be considered part of a person. * @param segmentScores A 3d-tensor of the sigmoid of the segmentation output. * @param segmentationThreshold The minimum that segmentation values must have * to be considered part of the person. Affects the generation of the * segmentation mask and the clipping of the colored part image. * * @returns A segmentation mask with a 1 or 0 at each pixel where there is a * person or not a person. */ export declare function toMaskTensor(segmentScores: tf.Tensor2D, threshold: number): tf.Tensor2D; /** * Takes the sigmoid of the person and part map output, and returns a 2d tensor * of an image with the corresponding value at each pixel corresponding to the * part with the highest value. These part ids are clipped by the segmentation * mask. Wherever the a pixel is clipped by the segmentation mask, its value * will set to -1, indicating that there is no part in that pixel. * @param segmentScores A 3d-tensor of the sigmoid of the segmentation output. * @param partHeatmapScores A 3d-tensor of the sigmoid of the part heatmap * output. The third dimension corresponds to the part. * * @returns A 2d tensor of an image with the corresponding value at each pixel * corresponding to the part with the highest value. These part ids are clipped * by the segmentation mask. It will have values of -1 for pixels that are * outside of the body and do not have a corresponding part. */ export declare function decodePartSegmentation(segmentationMask: tf.Tensor2D, partHeatmapScores: tf.Tensor3D): tf.Tensor2D; export declare function decodeOnlyPartSegmentation(partHeatmapScores: tf.Tensor3D): tf.Tensor2D;