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* |
Inputs#
Image, name: data
, shape: 1, 3, 256, 448
in the B, C, H, W
format, where:
B
- batch sizeC
- number of channelsH
- image heightW
- image width
Expected color order is BGR
.
Outputs#
The net outputs are three blobs:
Name:
features
, shape:1, 57, 32, 56
- coordinates in 3D space.Name:
heatmaps
, shape:1, 19, 32, 56
- keypoint heatmaps.Name:
pafs
, shape:1, 38, 32, 56
- keypoint pairwise relations (part affinity fields).
Download a Model and Convert it into OpenVINO™ IR Format#
You can download models and if necessary convert them into OpenVINO™ IR format using the Model Downloader and other automation tools as shown in the examples below.
An example of using the Model Downloader:
omz_downloader --name <model_name>
An example of using the Model Converter:
omz_converter --name <model_name>
Demo usage#
The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:
Legal Information#
The original model is distributed under the
Apache License, Version 2.0.
A copy of the license is provided in <omz_dir>/models/public/licenses/APACHE-2.0.txt
.
[*] Other names and brands may be claimed as the property of others.