Mmdet

**Highlights**
- The CUDA/C++ operators have been moved to `mmcv.ops`. For backward compatibility `mmdet.ops` is kept as warppers of `mmcv.ops`.
- Support new methods [CornerNet](https://arxiv.org/abs/1808.01244), [DIOU](https://arxiv.org/abs/1911.08287)/[CIOU](https://arxiv.org/abs/2005.03572) loss, and new dataset: [LVIS V1](https://arxiv.org/abs/1908.03195)
- Provide more detailed colab training tutorials and more complete documentation.
- Support to convert RetinaNet from Pytorch to ONNX.

**Bug Fixes**
- Fix the model initialization bug of DetectoRS (3187)
- Fix the bug of module names in NASFCOSHead (3205)
- Fix the filename bug in publish_model.py (3237)
- Fix the dimensionality bug when `inside_flags.any()` is `False` in dense heads (3242)
- Fix the bug of forgetting to pass flip directions in `MultiScaleFlipAug` (3262)
- Fixed the bug caused by default value of `stem_channels` (3333)
- Fix the bug of model checkpoint loading for CPU inference (3318, 3316)
- Fix topk bug when box number is smaller than the expected topk number in ATSSAssigner (3361)
- Fix the gt priority bug in center_region_assigner.py (3208)
- Fix NaN issue of iou calculation in iou_loss.py (3394)
- Fix the bug that `iou_thrs` is not actually used during evaluation in coco.py (3407)
- Fix test-time augmentation of RepPoints (3435)
- Fix runtimeError caused by incontiguous tensor in Res2Net+DCN (3412)

**New Features**
- Support [CornerNet](https://arxiv.org/abs/1808.01244) (#3036)
- Support [DIOU](https://arxiv.org/abs/1911.08287)/[CIOU](https://arxiv.org/abs/2005.03572) loss (#3151)
- Support [LVIS V1](https://arxiv.org/abs/1908.03195) dataset (#)
- Support customized hooks in training (3395)
- Support fp16 training of generalized focal loss (3410)
- Support to convert RetinaNet from Pytorch to ONNX (3075)

**Improvements**
- Support to process ignore boxes in ATSS assigner (3082)
- Allow to crop images without ground truth in `RandomCrop` (3153)
- Enable the the `Accuracy` module to set threshold (3155)
- Refactoring unit tests (3206)
- Unify the training settings of `to_float32` and `norm_cfg` in RegNets configs (3210)
- Add colab training tutorials for beginners (3213, 3273)
- Move CUDA/C++ operators into `mmcv.ops` and keep `mmdet.ops` as warppers for backward compatibility (3232)(3457)
- Update installation scripts in documentation (3290) and dockerfile (3320)
- Support to set image resize backend (3392)
- Remove git hash in version file (3466)
- Check mmcv version to force version compatibility (3460)

New Contributors
* amirassov made their first contribution in https://github.com/open-mmlab/mmdetection/pull/3262
* kaushikb11 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/3308
* Siyeong-Lee made their first contribution in https://github.com/open-mmlab/mmdetection/pull/3387
* PeterVennerstrom made their first contribution in https://github.com/open-mmlab/mmdetection/pull/3394
* Chien-Hung made their first contribution in https://github.com/open-mmlab/mmdetection/pull/3420
* drcut made their first contribution in https://github.com/open-mmlab/mmdetection/pull/3075

**Full Changelog**: https://github.com/open-mmlab/mmdetection/compare/v2.2.1...v2.3.0

This is the last release that requires building CUDA ops. After v2.3, all CUDA ops will be moved to MMCV, so that becomes a pure python library. This make it easier to install and run this library.

New Contributors
* AlphonsG made their first contribution in https://github.com/open-mmlab/mmdetection/pull/3194
* nguyenhoan1988 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/3077

**Full Changelog**: https://github.com/open-mmlab/mmdetection/compare/v2.2.0...v2.2.1

Highlights

- Support new methods: Support new methods: [DetectoRS](https://arxiv.org/abs/2006.02334), [PointRend](https://arxiv.org/abs/1912.08193), [Generalized Focal Loss](https://arxiv.org/abs/2006.04388), [Dynamic R-CNN](https://arxiv.org/abs/2004.06002).

Bug Fixes

- Fix FreeAnchor when no gt in image (3176)
- Clean up deprecated usage of register_module() (3092, 3161)
- Fix pretrain bug in NAS FCOS (3145)
- Fix num_classes in SSD (3142)
- Fix FCOS warmup (3119)
- Fix rstrip in tools/publish_model.py
- Fix flip_ratio default value in RandomFLip pipeline (3106)
- Fix cityscapes eval with ms_rcnn (3112)
- Fix RPN softmax (3056)
- Fix filename of LVISv0.5 (2998)
- Fix nan loss by filtering out-of-frame gt_bboxes in COCO (2999)
- Fix bug in FSAF (3018)
- Add FocalLoss num_classes check (2964)
- Fix PISA Loss when there are no gts (2992)
- Avoid nan in iou_calculator (2975)
- Prevent possible bugs in loading and transforms caused by shallow copy (2967)

New Features

- Add DetectoRS (3064)
- Support Generalize Focal Loss (3097)
- Support PointRend (2752)
- Support Dynamic R-CNN (3040)
- Add DeepFashion dataset (2968)
- Implement FCOS training tricks (2935)
- Use BaseDenseHead as base class for anchor-base heads (2963)
- Add with_cp for BasicBlock (2891)
- Add stem_channles argument for ResNet (2954)

Improvements

- Add anchor free base head (2867)
- Migrate to github action (3137)
- Add docstring for datasets, pipelines, core modules and methods (3130, 3125, 3120)
- Add VOC benchmark (3060)
- Add concat mode in GRoI (3098)
- Remove cmd arg autorescale-lr (3080)
- Use len(data['img_metas']) to indicate num_samples (3073, 3053)
- Switch to EpochBasedRunner (2976)

New Contributors
* azibit made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2989
* tonysy made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2998
* veralauee made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2968
* XiaohangZhan made their first contribution in https://github.com/open-mmlab/mmdetection/pull/3132
* implus made their first contribution in https://github.com/open-mmlab/mmdetection/pull/3097

**Full Changelog**: https://github.com/open-mmlab/mmdetection/compare/v2.1.0...v2.2.0

New Contributors
* tinunkai made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2647
* bailiqun made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2681
* deepaksinghcv made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2718
* grayson-hilliard made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2714
* kinredon made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2768
* gasvn made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2237
* xinghaochen made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2793
* mdv3101 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2859
* TonyLianLong made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2860
* DacDinh147 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2932

**Full Changelog**: https://github.com/open-mmlab/mmdetection/compare/v2.0.0...v2.1.0

New Contributors
* igonro made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2408
* hiyyg made their first contribution in https://github.com/open-mmlab/mmdetection/pull/2630

**Full Changelog**: https://github.com/open-mmlab/mmdetection/compare/v1.2.0...v2.0.0

Highlights

- Support [CENet](https://arxiv.org/abs/2207.12691) in `projects` (#2619)
- Enhance demos with new 3D inferencers (2763)

New Features

- Support [CENet](https://arxiv.org/abs/2207.12691) in `projects` (#2619)

Improvements

- Enhance demos with new 3D inferencers (2763)
- Add BEV-based detection pipeline in nuScenes dataset tutorial (2672)
- Add the new config type of Cylinder3D in `mmdet3d/configs` (2681)
- Update [New Config Type](https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta) (2655)
- Update the QR code in README.md (2703)

Bug Fixes

- Fix the download script of nuScenes dataset (2660)
- Fix circleCI and GitHub workflow configuration (2652)
- Fix the version of Open3D in requirements (2633)
- Fix unused files in `mmdet3d/configs` (2773)
- Fix support devices in FreeAnchor3DHead (2769)
- Fix readthedocs building and link (2739, 2650)
- Fix the pitch angle bug in LaserMix (2710)

Contributors

A total of 7 developers contributed to this release.

sunjiahao1999, Xiangxu-0103, ZhaoCake, LRJKD, crazysteeaam, wep21, zhiqwang

New Contributors
* wep21 made their first contribution in https://github.com/open-mmlab/mmdetection3d/pull/2660
* zhiqwang made their first contribution in https://github.com/open-mmlab/mmdetection3d/pull/2650
* 1uciusy made their first contribution in https://github.com/open-mmlab/mmdetection3d/pull/2672
* crazysteeaam made their first contribution in https://github.com/open-mmlab/mmdetection3d/pull/2703
* ZhaoCake made their first contribution in https://github.com/open-mmlab/mmdetection3d/pull/2681
* LRJKD made their first contribution in https://github.com/open-mmlab/mmdetection3d/pull/2769

**Full Changelog**: https://github.com/open-mmlab/mmdetection3d/compare/v1.2.0...v1.3.0