v3.0.0 (6/4/2023)

We have released the official version of MMDetection v3.0.0

Highlights

• Support Semi-automatic annotation Base Label-Studio (#10039)
• Support EfficientDet in projects (#9810)

New Features

• File I/O migration and reconstruction (#9709)
• Release DINO Swin-L 36e model (#9927)

Bug Fixes

• Fix benchmark script (#9865)
• Fix the crop method of PolygonMasks (#9858)
• Fix Albu augmentation with the mask shape (#9918)
• Fix RTMDetIns prior generator device error (#9964)
• Fix img_shape in data pipeline (#9966)
• Fix cityscapes import error (#9984)
• Fix solov2_r50_fpn_ms-3x_coco.py config error (#10030)
• Fix Conditional DETR AP and Log (#9889)
• Fix accepting an unexpected argument local-rank in PyTorch 2.0 (#10050)
• Fix common/ms_3x_coco-instance.py config error (#10056)
• Fix compute flops error (#10051)
• Delete data_root in CocoOccludedSeparatedMetric to fix bug (#9969)
• Unifying metafile.yml (#9849)

Improvements

• Added BoxInst r101 config (#9967)
• Added config migration guide (#9960)
• Added more social networking links (#10021)
• Added RTMDet config introduce (#10042)
• Added visualization docs (#9938, #10058)
• Refined data_prepare docs (#9935)
• Added support for setting the cache_size_limit parameter of dynamo in PyTorch 2.0 (#10054)
• Updated coco_metric.py (#10033)
• Update type hint (#10040)

Contributors

A total of 19 developers contributed to this release.

Thanks @IRONICBo, @vansin, @RangeKing, @ghlerrix, @okotaku, @JosonChan1998, @zgzhengSEU, @bobo0810, @yechenzhi, @Zheng-LinXiao, @LYMDLUT, @yarkable, @xiejiajiannb, @chhluo, @BIGWangYuDong, @RangiLyu, @zwhus, @hhaAndroid, @ZwwWayne