Highlights

• Support Boxinst, Objects365 Dataset, and Separated and Occluded COCO metric
• Support ConvNeXt-V2, DiffusionDet, and inference of EfficientDet and Detic in Projects
• Refactor DETR series and support Conditional-DETR, DAB-DETR, and DINO
• Support DetInferencer for inference, Test Time Augmentation, and automatically importing modules from registry
• Support RTMDet-Ins ONNXRuntime and TensorRT deployment
• Support calculating FLOPs of detectors

New Features

• Support Boxinst (#9525)
• Support Objects365 Dataset (#9600)
• Support ConvNeXt-V2 in Projects (#9619)
• Support DiffusionDet in Projects (#9639, #9768)
• Support Detic inference in Projects (#9645)
• Support EfficientDet inference in Projects (#9645)
• Support Separated and Occluded COCO metric (#9710)
• Support auto import modules from registry (#9143)
• Refactor DETR series and support Conditional-DETR, DAB-DETR and DINO (#9646)
• Support DetInferencer for inference (#9561)
• Support Test Time Augmentation (#9452)
• Support calculating FLOPs of detectors (#9777)

Bug Fixes

• Fix deprecating old type alias due to new version of numpy (#9625, #9537)
• Fix VOC metrics (#9784)
• Fix the wrong link of RTMDet-x log (#9549)
• Fix RTMDet link in README (#9575)
• Fix MMDet get flops error (#9589)
• Fix use_depthwise in RTMDet (#9624)
• Fix albumentations augmentation post process with masks (#9551)
• Fix DETR series Unit Test (#9647)
• Fix LoadPanopticAnnotations bug (#9703)
• Fix isort CI (#9680)
• Fix amp pooling overflow (#9670)
• Fix docstring about noise in DINO (#9747)
• Fix potential bug in MultiImageMixDataset (#9764)

Improvements

• Replace NumPy transpose with PyTorch permute to speed-up (#9762)
• Deprecate sklearn (#9725)
• Add RTMDet-Ins deployment guide (#9823)
• Update RTMDet config and README (#9603)
• Replace the models used in the tutorial document with RTMDet (#9843)
• Adjust the minimum supported python version to 3.7 (#9602)
• Support modifying palette through configuration (#9445)
• Update README document in Project (#9599)
• Replace github with gitee in .pre-commit-config-zh-cn.yaml file (#9586)
• Use official isort in .pre-commit-config.yaml file (#9701)
• Change MMCV minimum version to 2.0.0rc4 for dev-3.x (#9695)
• Add Chinese version of single_stage_as_rpn.md and test_results_submission.md (#9434)
• Add OpenDataLab download link (#9605, #9738)
• Add type hints of several layers (#9346)
• Add typehint for DarknetBottleneck (#9591)
• Add dockerfile that is easier to use in China (#9659)
• Add twitter, discord, medium, and youtube link (#9775)
• Prepare for merging refactor-detr (#9656)
• Add metafile to ConditionalDETR, DABDETR and DINO (#9715)
• Support to modify non_blocking parameters (#9723)
• Comment repeater visualizer register (#9740)
• Update user guide: finetune.md and inference.md (#9578)

New Contributors

• @NoFish-528 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9346
• @137208 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9434
• @lyviva made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9625
• @zwhus made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9589
• @zylo117 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9670
• @chg0901 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9740
• @DanShouzhu made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9578

Contributors

A total of 27 developers contributed to this release.

Thanks @JosonChan1998, @RangeKing, @NoFish-528, @likyoo, @Xiangxu-0103, @137208, @PeterH0323, @tianleiSHI, @wufan-tb, @lyviva, @zwhus, @jshilong, @Li-Qingyun, @sanbuphy, @zylo117, @triple-Mu, @KeiChiTse, @LYMDLUT, @nijkah, @chg0901, @DanShouzhu, @zytx121, @vansin, @BIGWangYuDong, @hhaAndroid, @RangiLyu, @ZwwWayne

Full Changelog: https://github.com/open-mmlab/mmdetection/compare/v3.0.0rc5...v3.0.0rc6