MMDetection3D V0.14.0 Release

Highlights

• Support the point cloud segmentation method PointNet++

New Features

• Support PointNet++ (#479, #528, #532, #541)
• Support RandomJitterPoints transform for point cloud segmentation (#584)
• Support RandomDropPointsColor transform for point cloud segmentation (#585)

Improvements

• Move the point alignment of ScanNet from data pre-processing to pipeline (#439, #470)
• Add compatibility document to provide detailed descriptions of BC-breaking changes (#504)
• Add MMSegmentation installation requirement (#535)
• Support points rotation even without bounding box in GlobalRotScaleTrans for point cloud segmentaiton (#540)
• Support visualization of detection results and dataset browse for nuScenes Mono-3D dataset (#542, #582)
• Support faster implementation of KNN (#586)
• Support RegNetX models on Lyft dataset (#589)
• Remove a useless parameter label_weight from segmentation datasets including Custom3DSegDataset, ScanNetSegDataset and S3DISSegDataset (#607)

Bug Fixes

• Fix a corrupted lidar data file in Lyft dataset in data_preparation (#546)
• Fix evaluation bugs in nuScenes and Lyft dataset (#549)
• Fix converting points between coordinates with specific transformation matrix in the coord_3d_mode.py (#556)
• Support PointPillars models on Lyft dataset (#578)
• Fix the bug of demo with pre-trained VoteNet model on ScanNet (#600)

New Contributors

• @haotian-liu made their first contribution in #515
• @JSchuurmans made their first contribution in #565

Full Changelog: v0.13.0...v0.14.0