Highlights

• Support PAConv
• Support monocular/multi-view 3D detector ImVoxelNet on KITTI
• Support Transformer-based 3D detection method Group-Free-3D on ScanNet
• Add documentation for tasks including LiDAR-based 3D detection, vision-only 3D detection and point-based 3D semantic segmentation
• Add dataset documents like ScanNet
• Upgrade to use MMCV-full v1.3.8

Compatibility

In order to fix the problem that the priority of EvalHook is too low, all hook priorities have been re-adjusted in 1.3.8, so MMDetection 2.14.0 needs to rely on the latest MMCV 1.3.8 version. For related information, please refer to #1120, for related issues, please refer to #5343.

New Features

• Support Group-Free-3D on ScanNet (#539)
• Support PAConv modules (#598, #599)
• Support ImVoxelNet on KITTI (#627, #654)

Improvements

• Add unit tests for pipeline functions LoadImageFromFileMono3D, ObjectNameFilter and ObjectRangeFilter (#615)
• Enhance IndoorPatchPointSample (#617)
• Refactor model initialization methods based MMCV (#622)
• Add Chinese docs (#629)
• Add documentation for LiDAR-based 3D detection (#642)
• Unify intrinsic and extrinsic matrices for all datasets (#653)
• Add documentation for point-based 3D semantic segmentation (#663)
• Add documentation of ScanNet for 3D detection (#664)
• Refine docs for tutorials (#666)
• Add documentation for vision-only 3D detection (#669)
• Refine docs for Quick Run and Useful Tools (#686)

Bug Fixes

• Fix the bug of BackgroundPointsFilter using the bottom center of ground truth (#609)
• Fix LoadMultiViewImageFromFiles to unravel stacked multi-view images to list to be consistent with DefaultFormatBundle (#611)
• Fix the potential bug in analyze_logs when the training resumes from a checkpoint or is stopped before evaluation (#634)
• Fix test commands in docs and make some refinements (#635)
• Fix wrong config paths in unit tests (#641)

Full Changelog: https://github.com/open-mmlab/mmdetection3d/compare/v0.14.0...v0.15.0