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Testing OpenPose: (Left) Crazy Uptown Funk flashmob in Sydney video sequence. Results Whole-body (Body, Foot, Face, and Hands) 2D Pose Estimation We would also like to thank all the people who has helped OpenPose in any way.Īuthors Ginés Hidalgo (left) and Hanbyul Joo (right) in front of the CMU Panoptic Studio Contents

OpenPose would not be possible without the CMU Panoptic Studio dataset. It is maintained by Ginés Hidalgo and Yaadhav Raaj. It is authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh. 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.