OpenPose: An Open Source Library for Multi-Person Pose Estimation and Tracking
A brief introduction to the project:
OpenPose is an open-source library developed by the Carnegie Mellon University Perceptual Computing Lab. It is designed for real-time multi-person pose estimation and tracking. The project provides algorithms and models that enable the estimation of 2D and 3D human body poses using deep learning