MMDetection3D V0.6.1 Release

Highlights

• Support mixed precision training of voxel-based methods
• Support docker with PyTorch 1.6.0
• Update baseline configs and results (CenterPoint on nuScenes and PointPillars on Waymo with full dataset)
• Switch model zoo to download.openmmlab.com

Bug Fixes

• Fix a bug of visualization in multi-batch case (#120)
• Fix bugs in DCN unit test (#130)
• Fix DCN bias bug in CenterPoint (#137)
• Fix dataset mapping in the evaluation of nuScenes mini dataset (#140)
• Fix origin initialization in CameraInstance3DBoxes (#148, #150)
• Correct documentation link in the getting_started.md (#159)
• Fix model save path bug in gather_models.py (#153)
• Fix image padding shape bug in PointFusion (#162)

New Features

• Support dataset pipeline VoxelBasedPointSampler to sample multi-sweep points based on voxelization. (#125)
• Support mixed precision training of voxel-based methods (#132)
• Support docker with PyTorch 1.6.0 (#160)

Improvements

• Reduce requirements for the case exclusive of Waymo (#121)
• Switch model zoo to download.openmmlab.com (#126)
• Update docs related to Waymo (#128)
• Add version assertion in the init file (#129)
• Add evaluation interval setting for CenterPoint (#131)
• Add unit test for CenterPoint (#133)
• Update PointPillars baselines on Waymo with full dataset (#142)
• Update CenterPoint results with models and logs (#154)