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.



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


Image, name: data, shape: 1, 3, 256, 448 in the B, C, H, W format, where:

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

Expected color order is BGR.


The net outputs are three blobs:

  1. Name: features, shape: 1, 57, 32, 56 - coordinates in 3D space.
  2. Name: heatmaps, shape: 1, 19, 32, 56 - keypoint heatmaps.
  3. Name: pafs, shape: 1, 38, 32, 56 - keypoint pairwise relations (part affinity fields).

Download a Model and Convert it into Inference Engine Format

You can download models and if necessary convert them into Inference Engine format using the Model Downloader and other automation tools as shown in the examples below.

An example of using the Model Downloader:

python3 <omz_dir>/tools/downloader/ --name <model_name>

An example of using the Model Converter:

python3 <omz_dir>/tools/downloader/ --name <model_name>

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.txt.

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