#18 · Primary category: Computer Vision

openpose

caffe computer-vision cpp cvpr-2017 deep-learning face foot-estimation hand-estimation human-behavior-understanding human-pose human-pose-estimation keypoint-detection keypoints machine-learning multi-person opencv openpose pose pose-estimation real-time

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Project last updated:08/03/24

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Why we included this project

OpenPose was the first real-time system to pull body, hand, face, and foot keypoints out of a single image, 135 in total, and it still holds up as the reference for that job. Its runtime stays roughly flat no matter how many people are in the frame, which is what makes it usable for live webcam and CCTV feeds. You get a command-line demo plus C++ and Python APIs, with CUDA, OpenCL, and CPU-only builds, so it works both as a quick test and as a component inside a larger pipeline. The calibration toolbox and 3D triangulation module are worth a look if you want to move past flat 2D landmarks, and the documentation is thorough enough to double as a tutorial for people learning pose estimation.

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