MMDetection V2.7.0 Release

Highlights

• Support new method: DETR, ResNest, Faster R-CNN DC5.
• Support YOLO, Mask R-CNN, and Cascade R-CNN models exportable to ONNX.

New Features

• Support DETR (#4201, #4206)
• Support to link the best checkpoint in training (#3773)
• Support to override config through options in inference.py (#4175)
• Support YOLO, Mask R-CNN, and Cascade R-CNN models exportable to ONNX (#4087, #4083)
• Support ResNeSt backbone (#2959)
• Support unclip-border box regression (#4076)
• Add TP/FP functions in evaluating AP (#4069)
• Support mixed-precision training of SSD detector with other backbones (#4081)
• Add Faster R-CNN DC5 models (#4043)

Bug Fixes

• Fix bug of gpu_id in distributed training mode (#4163)
• Support Albumentations with version higher than 0.5 (#4032)
• Fix num_classes bug in faster rcnn config (#4088)
• Update code in docs/2_new_data_model.md (#4041)

Improvements

• Ensure DCN offset to have similar type as features in VFNet (#4198)
• Add config links in README files of models (#4190)
• Add tutorials for loss conventions (#3818)
• Add solution to installation issues in 30-series GPUs (#4176)
• Update docker version in get_started.md (#4145)
• Add model statistics and polish some titles in configs README (#4140)
• Clamp neg probability in FreeAnchor (#4082)
• Speed up expanding large images (#4089)
• Fix Pytorch 1.7 incompatibility issues (#4103)
• Update troubleshooting page to resolve segmentation fault (#4055)
• Update aLRP-Loss in the project page (#4078)
• Clean duplicated reduce_mean function (#4056)
• Refactor Q&A (#4045)

New Contributors

• @miaosakurai made their first contribution in #4041
• @wdmwhh made their first contribution in #4054
• @cancam made their first contribution in #4078
• @Sundrops made their first contribution in #4081
• @renjithbaby23 made their first contribution in #4145
• @sunnyxiaohu made their first contribution in #4161

Full Changelog: v2.6.0...v2.7.0