CMU-Perceptual-Computing-Lab/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Built on Part Affinity Fields (PAF) for efficient skeleton association, OpenPose uses a non-parametric representation that enables constant-time inference regardless of the number of people in frame—a key advantage over detection-based competitors. Supports multi-modal input (webcam, video, IP cameras, Flir hardware) and output formats (JSON, XML, PNG/AVI), with both C++ and Python APIs for custom preprocessing pipelines and integrations.
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