Highlights

• Support RTMDet instance segmentation models. The technical report of RTMDet is on arxiv
• Support SSHContextModule in paper SSH: Single Stage Headless Face Detector.

New Features

• Support RTMDet instance segmentation models and improve RTMDet test config (#9494)
• Support SSHContextModule in paper SSH: Single Stage Headless Face Detector (#8953)
• Release CondInst pre-trained model (#9406)

Bug Fixes

• Fix CondInst predict error when batch_size is greater than 1 in inference (#9400)
• Fix the bug of visualization when the dtype of the pipeline output image is not uint8 in browse dataset (#9401)
• Fix analyze_logs.py to plot mAP and calculate train time correctly (#9409)
• Fix backward inplace error with PAFPN (#9450)
• Fix config import links in model converters (#9441)
• Fix DeformableDETRHead object has no attribute loss_single (#9477)
• Fix the logic of pseudo bboxes predicted by teacher model in SemiBaseDetector (#9414)
• Fix demo API in instance segmentation tutorial (#9226)
• Fix analyze_results (#9380)
• Fix the error that Readthedocs API cannot be displayed (#9510)

Improvements

• Remove legacy builder.py (#9479)
• Make sure the pipeline argument shape is in (width, height) order (#9324)
• Add .pre-commit-config-zh-cn.yaml file (#9388)
• Refactor dataset metainfo to lowercase (#9469)
• Add PyTorch 1.13 checking in CI (#9478)
• Adjust FocalLoss and QualityFocalLoss to allow different kinds of targets (#9481)
• Refactor setup.cfg (#9370)
• Clip saturation value to valid range [0, 1] (#9391)
• Only keep meta and state_dict when publishing model (#9356)
• Add segm evaluator in ms-poly_3x_coco_instance config (#9524)
• Update deployment guide (#9527)
• Update zh_cn faq.md (#9396)
• Update get_started (#9480)
• Update the zh_cn user_guides of useful_tools.md and useful_hooks.md (#9453)
• Add type hints for bfp and channel_mapper (#9410)
• Add type hints of several losses (#9397)
• Add type hints and update docstring for task modules (#9468)

Contributors

A total of 20 developers contributed to this release.

Thanks @liuyanyi, @RangeKing, @lihua199710, @MambaWong, @sanbuphy, @Xiangxu-0103, @twmht, @JunyaoHu, @Chan-Sun, @tianleiSHI, @zytx121, @kitecats, @QJC123654, @JosonChan1998, @lvhan028, @Czm369, @BIGWangYuDong, @RangiLyu, @hhaAndroid, @ZwwWayne

New Contributors

• @lihua199710 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9388
• @twmht made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9450
• @tianleiSHI made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9453
• @kitecats made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9481
• @QJC123654 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9468

Full Changelog: https://github.com/open-mmlab/mmdetection/compare/v3.0.0rc4...v3.0.0rc5