OpenPose
Real-time multi-person pose estimation by CMU for body, hand, and face keypoints.
About
OpenPose from Carnegie Mellon University was the first real-time system to jointly detect body, foot, hand, and facial keypoints, up to 135 points, on single images. It runs on CUDA GPUs and is widely used in research and creative pose-driven applications, and it draws on the CMU Panoptic Studio dataset. It is distributed under a custom license that restricts commercial use.
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Details
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- Custom
- Minimum VRAM
- 6 GB
- Added
- Apr 3, 2026
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