openpose

About this project

Build Type Linux MacOS Windows :---: :---: :---: :---: Build Status 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 Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh. It is maintained by Ginés 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 have helped OpenPose in any way. Authors Ginés Hidalgo (left) and Hanbyul Joo (right) in front of the CMU Panoptic Studio Contents 1. Results 2. Features 3.…

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