CMU-Perceptual-Computing-Lab/openpose

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

Brief / README 摘要

*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 Results Features Rel…

Topics / 标签

caffe computer-vision cpp cvpr-2017 deep-learning face foot-estimation hand-estimation human-behavior-understanding human-pose human-pose-estimation keypoint-detection

CMU-Perceptual-Computing-Lab/openpose

Brief / README 摘要

Topics / 标签

相关推荐