open-mmlab/mmpose
PyTorch-based pose estimation toolbox supporting human, animal, hand, and face keypoint detection models including RTMPose, HRNet, and Hourglass.

OpenMMLab Pose Estimation Toolbox and Benchmark provides a comprehensive collection of pose estimation models and training pipelines. It supports multiple pose estimation tasks including human body pose, animal pose, hand pose, and facial keypoint detection. The toolbox implements various model architectures like RTMPose, HRNet, HigherHRNet, Hourglass, CPM, MSPN, and RSN, and includes utilities for data preparation, model training, and benchmark evaluation.