CMU-Perceptual-Computing-Lab/openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

C++CudaCMakeShellHCLBatchfileopencvmachine-learningreal-timecaffecomputer-visiondeep-learningcppfacekeypointshuman-pose-estimationpose-estimationhuman-behavior-understandingcvpr-2017poseopenposehuman-posekeypoint-detectionmulti-personhand-estimationfoot-estimation
This is stars and forks stats for /CMU-Perceptual-Computing-Lab/openpose repository. As of 29 Apr, 2024 this repository has 28295 stars and 7678 forks.

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 has...
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