Shypd.aiThe largest open index of AI toolsOpenPose is a real-time multi-person keypoint detection library for body, face, hands, and foot estimation. It provides 2D and 3D pose estimation, supporting various inputs and outputs.
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OpenPose is a powerful, real-time multi-person keypoint detection library developed by the CMU Perceptual Computing Lab. It is capable of estimating 2D and 3D keypoints for the human body, face, hands, and feet, offering a total of 135 keypoints. A key differentiator is its runtime, which remains constant regardless of the number of detected people for body/foot estimation, unlike other libraries whose runtime grows linearly. It supports various input sources like images, videos, webcams, and specialized cameras, and can output keypoints in multiple formats including JSON and XML. OpenPose offers both C++ and Python APIs for custom functionality and is compatible with Ubuntu, Windows, and Mac OSX, with hardware support for CUDA, OpenCL, and CPU-only versions.
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