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human-pose-estimation-3d-0001.md

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human-pose-estimation-3d-0001

Use Case and High-Level Description

Multi-person 3D human pose estimation model based on the Lightweight OpenPose and Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB papers.

Example

Specification

Metric Value
MPJPE (mm) 100.45
GFlops 18.998
MParams 5.074
Source framework PyTorch*

Performance

Inputs

Name: data, shape: [1x3x256x448]. An input image in the [BxCxHxW] format, where:

  • B - batch size
  • C - number of channels
  • H - image height
  • W - image width

Expected color order is BGR.

Outputs

The net outputs three blobs with the following shapes: [1, 57, 32, 56], [1, 19, 32, 56], and [1, 38, 32, 56]. The first blob contains coordinates in 3D space, the second blob contains keypoint heatmaps and the third blob is keypoint pairwise relations (part affinity fields).

Legal Information

The original model is distributed under the Apache License, Version 2.0. A copy of the license is provided in APACHE-2.0-TensorFlow.txt.

[*] Other names and brands may be claimed as the property of others.