Openpose
Real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
What is Openpose?
OpenPose is an open-source library for real-time multi-person 2D and 3D keypoint detection, estimating body, face, hand, and foot keypoints from images and video. It solves the problem of accurately and efficiently detecting human pose in complex, multi-person scenarios, enabling applications in motion analysis, human-computer interaction, and augmented reality.
Researchers, developers, and engineers working in computer vision, robotics, human-computer interaction, and augmented reality who need robust, real-time human pose estimation.
Developers choose OpenPose for its real-time performance, multi-person detection with constant runtime, and comprehensive keypoint coverage (135 keypoints across body, face, hands, and feet). Its cross-platform support and flexible APIs make it adaptable for both research and production use.
Overview
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Use Cases
Best For
- Real-time human pose estimation in video feeds
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