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OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images.
It is authored by Gines Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Hanbyul Joo, and Yaser Sheikh, and maintained by Gines Hidalgo and Yaadhav Raaj. 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 (doc/contributors.md).
Authors Gines Hidalgo (left) and Hanbyul Joo (right) in front of the CMU Panoptic Studio
Testing the Crazy Uptown Funk flashmob in Sydney video sequence with OpenPose
Testing the 3D Reconstruction Module of OpenPose
Authors Gines Hidalgo (left image) and Tomas Simon (right image) testing OpenPose
Tianyi Zhao and Gines Hidalgo testing the OpenPose Unity Plugin
We show an inference time comparison between the 3 available pose estimation libraries (same hardware and conditions): OpenPose, Alpha-Pose (fast Pytorch version), and Mask R-CNN. The OpenPose runtime is constant, while the runtime of Alpha-Pose and Mask R-CNN grow linearly with the number of people. More details here.
For further details, check all released features and release notes.
If you want to use OpenPose without compiling or writing any code, simply download and use the latest Windows portable version of OpenPose! Otherwise, you can also build OpenPose from source.
See doc/installation/README.md for more details.
Most users do not need to know C++ or Python, they can simply use the OpenPose Demo in their command-line tool (e.g., PowerShell/Terminal). E.g., this would run OpenPose on the webcam and display the body keypoints:
# Ubuntu
./build/examples/openpose/openpose.bin
:: Windows - Portable Demo
bin\OpenPoseDemo.exe --video examples\media\video.avi
You can also add any of the available flags in any order. Do you also want to add face and/or hands? Add the --face
and/or --hand
flags. Do you also want to save the output keypoints on JSON files on disk? Add the --write_json
flag, etc.
# Ubuntu
./build/examples/openpose/openpose.bin --video examples/media/video.avi --face --hand --write_json output_json_folder/
:: Windows - Portable Demo
bin\OpenPoseDemo.exe --video examples\media\video.avi --face --hand --write_json output_json_folder/
After installing OpenPose, check doc/README.md for a quick overview of all the alternatives and tutorials.
Our library is open source for research purposes, and we want to continuously improve it! So let us know if you...
Just create a new GitHub issue or a pull request and we will answer as soon as possible!
Please cite these papers in your publications if it helps your research. All of OpenPose is based on OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields, while the hand and face detectors also use Hand Keypoint Detection in Single Images using Multiview Bootstrapping (the face detector was trained using the same procedure than the hand detector).
@article{8765346,
author = {Z. {Cao} and G. {Hidalgo Martinez} and T. {Simon} and S. {Wei} and Y. A. {Sheikh}},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
title = {OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields},
year = {2019}
}
@inproceedings{simon2017hand,
author = {Tomas Simon and Hanbyul Joo and Iain Matthews and Yaser Sheikh},
booktitle = {CVPR},
title = {Hand Keypoint Detection in Single Images using Multiview Bootstrapping},
year = {2017}
}
@inproceedings{cao2017realtime,
author = {Zhe Cao and Tomas Simon and Shih-En Wei and Yaser Sheikh},
booktitle = {CVPR},
title = {Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields},
year = {2017}
}
@inproceedings{wei2016cpm,
author = {Shih-En Wei and Varun Ramakrishna and Takeo Kanade and Yaser Sheikh},
booktitle = {CVPR},
title = {Convolutional pose machines},
year = {2016}
}
Paper links:
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 Contact
section from the FlintBox link and also send a copy of that message to Yaser Sheikh.