Data as of Oct 12, 2026Based on 27,139 AI responses
Reviewed by Dimitry Apollonsky
OpenPose is an open-source, real-time multi-person keypoint detection library developed by CMU's Perceptual Computing Laboratory. It jointly detects human body, face, hands, and feet keypoints in single images, totaling 135 keypoints per person. The project is hosted on GitHub (CMU-Perceptual-Computing-Lab/openpose) and maintained by researchers Ginés Hidalgo and Yaadhav Raaj, with ongoing community contributions.
Hosted on GitHub
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