#Realtime Multi-Person Pose Estimation

This project features a bottom-up approach to real-time multi-person pose estimation, removing the need for person detectors. It achieved recognition in the 2016 MSCOCO Keypoints Challenge and the ECCV Best Demo Award. The approach is implemented across various platforms including C++, TensorFlow, and PyTorch, providing flexible options for developers. The Python code aligns with the latest MSCOCO models and suits diverse system inputs from images to webcams, leveraging deep learning for enhanced human pose recognition.