OpenPose Caffe Training includes the modified Caffe version for training OpenPose. Check the training repository in github.com/CMU-Perceptual-Computing-Lab/openpose_train for all the training details.
It is authored by Gines Hidalgo, Zhe Cao, Yaadhav Raaj, Tomas Simon, Haroon Idrees, Donglai Xiang, Shih-En Wei, Hanbyul Joo, and Yaser Sheikh. It is based on the papers described in the Citation section and in Realtime Multi-Person Pose Estimation. In addition, OpenPose would not be possible without the CMU Panoptic Studio dataset. We would also like to thank all the people who helped OpenPose in any way.
This repository and its documentation assumes knowledge of OpenPose. If you have not used OpenPose yet, you must familiare yourself with it before attempting to follow this documentation.
Please cite these papers in your publications if it helps your research (the face keypoint detector was trained using the procedure described in [Simon et al. 2017] for hands):
@inproceedings{hidalgo2019singlenetwork,
author = {Gines Hidalgo and Yaadhav Raaj and Haroon Idrees and Donglai Xiang and Hanbyul Joo and Tomas Simon and Yaser Sheikh},
booktitle = {ICCV},
title = {Single-Network Whole-Body Pose Estimation},
year = {2019}
}
@inproceedings{cao2018openpose,
author = {Zhe Cao and Gines Hidalgo and Tomas Simon and Shih-En Wei and Yaser Sheikh},
booktitle = {arXiv preprint arXiv:1812.08008},
title = {Open{P}ose: realtime multi-person 2{D} pose estimation using {P}art {A}ffinity {F}ields},
year = {2018}
}
Links to the papers:
- Single-Network Whole-Body Pose Estimation
- OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
OpenPose is freely available for free non-commercial use, and may be redistributed under these conditions. Please, see the license for further details. Interested in a commercial license? Check this FlintBox link. For commercial queries, use the Directly Contact Organization section from the FlintBox link and also send a copy of that message to Yaser Sheikh.