Releases
v0.5.0
Highlights
Support new data structure SMC for new dataset HuMMan that will soon be released
Support for multi-GPU training/testing without slurm
Support training-time validation and additional metrics such as PVE
Bug fixes in data augmentation for more stable training
Stronger HybrIK baseline (PA-MPJPE 49.02 on 3DPW)
New Datasets
Add data converter for HuMMan dataset
Add support for training with HuMMan dataset
New Features
Add a new data structure SMC with SMCReader
Add support for multi-GPU training/testing without slurm
Add eval hook that supports validation during training and additional metrics such as PVE
Support rigid transformation of SMPL parameters
Add video-based inference pipeline to support VIBE demo
CameraParameter accepts numpy and torch tensor and K, R, T can be obtained by a single method
Better Methods
Reproduce a stronger HybrIK baseline (PA-MPJPE 49.02 on 3DPW)
Bug Fixes
Fix a bug in data augmentation that causes keypoint2d loss not converging
Fix a bug in SMPL rotation augmentation
Fix bugs in data converters
Fix GPU memory wastage due to unnecessary initialization
Documentation
Use shared menu from OpenMMLab theme
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