openpose and lightweight-human-pose-estimation.pytorch
The second tool is a lightweight, faster implementation of the first tool, making them competitors, with the second being an optimized alternative for specific use cases.
About openpose
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.
About lightweight-human-pose-estimation.pytorch
Daniil-Osokin/lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
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