XRMoCap Release v0.5.0

Highlights

• Support HuMMan Mocap toolchain for multi-view single person SMPL estimation
• Reproduce MvP, a deep-learning-based SOTA for multi-view multi-human 3D pose estimation
• Reproduce MVPose (single frame) and MVPose (temporal tracking and filtering), two optimization-based methods for multi-view multi-human 3D pose estimation
• Support SMPLify, SMPLifyX, SMPLifyD and SMPLifyXD

New Features

• Add peception module based on mmdet, mmpose and mmtrack
• Add Shape-aware 3D Pose Optimization
• Add Keypoints3d optimizer and multi-view single-person api
• Add data_converter and data_visualization for shelf, campus and cmu panoptic datasets
• Add multiple selectors to support more point selection strategies for triangulation
• Add Keypoints and Limbs data structure
• Add multi-way matching registry
• Refactor the pictorial block (c/c++) in python