Mmdet

Highlights

- Support [Label Assignment Distillation](https://arxiv.org/abs/2108.10520)
- Support `persistent_workers` for Pytorch >= 1.7
- Align accuracy to the updated official YOLOX

New Features

- Support [Label Assignment Distillation](https://arxiv.org/abs/2108.10520) (#6342)
- Support `persistent_workers` for Pytorch >= 1.7 (6435)

Bug Fixes

- Fix repeatedly output warning message (6584)
- Avoid infinite GPU waiting in dist training (6501)
- Fix SSD512 config error (6574)
- Fix MMDetection model to ONNX command (6558)

Improvements

- Refactor configs of FP16 models (6592)
- Align accuracy to the updated official YOLOX (6443)
- Speed up training and reduce memory cost when using PhotoMetricDistortion. (6442)
- Make OHEM work with seesaw loss (6514)


Documents

- Update README.md (6567)

Contributors

A total of 11 developers contributed to this release.
Thanks FloydHsiu, RangiLyu, ZwwWayne, AndreaPi, st9007a, hachreak, BIGWangYuDong, hhaAndroid, AronLin, chhluo, vealocia, HarborYuan, st9007a, jshilong


New Contributors
* FloydHsiu made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6546

Highlights

- Release [QueryInst](http://arxiv.org/abs/2105.01928) pre-trained weights (#6460)
- Support plot confusion matrix (6344)

New Features

- Release [QueryInst](http://arxiv.org/abs/2105.01928) pre-trained weights (#6460)
- Support plot confusion matrix (6344)

Bug Fixes

- Fix aug test error when the number of prediction bboxes is 0 (6398)
- Fix SpatialReductionAttention in PVT (6488)
- Fix wrong use of `trunc_normal_init` in PVT and Swin-Transformer (6432)

Improvements

- Save the printed AP information of COCO API to logger (6505)
- Always map location to cpu when load checkpoint (6405)
- Set a random seed when the user does not set a seed (6457)

Documents

- Chinese version of [Corruption Benchmarking](docs/robustness_benchmarking.mddocs/robustness_benchmarking.md) (6375)
- Fix config path in docs (6396)
- Update GRoIE readme (6401)

Contributors

A total of 11 developers contributed to this release.
Thanks st9007a, hachreak, HarborYuan, vealocia, chhluo, AndreaPi, AronLin, BIGWangYuDong, hhaAndroid, RangiLyu, ZwwWayne


**Full Changelog**: https://github.com/open-mmlab/mmdetection/compare/v2.18.0...v2.18.1

Highlights

- Support [QueryInst](http://arxiv.org/abs/2105.01928) (#6050)
- Refactor dense heads to decouple onnx export logics from `get_bboxes` and speed up inference (5317, 6003, 6369, 6268, 6315)

New Features

- Support [QueryInst](http://arxiv.org/abs/2105.01928) (#6050)
- Support infinite sampler (5996)

Bug Fixes

- Fix `init_weight` in fcn_mask_head (6378)
- Fix type error in `imshow_bboxes` of RPN (6386)
- Fix broken colab link in MMDetection Tutorial (6382)
- Make sure the device and dtype of `scale_factor` are the same as bboxes (6374)
- Remove sampling hardcode (6317)
- Fix `RandomAffine` bbox coordinate bug (6293)
- Fix initialization bug of final cls/reg layer in convfc head (6279)
- Fix `img_shape` broken in auto_augment (6259)
- Fix kwargs parameter missing error in two stage detector (6256)

Improvements

- Unify the interface of stuff head and panoptic head (6308)
- Polish readme (6243)
- Add code-spell pre-commit hook and fix a typo (6306)
- Fix typos (6245, 6190)
- Fix sampler unit test (6284)
- Fix `forward_dummy` of YOLACT to enable `get_flops` (6079)
- Fix link error in the config documentation (6252)
- Adjust the order to beautify the document (6195)

Refactors

- Refactor one-stage get_bboxes logic (5317)
- Refactor ONNX export of One-Stage models (6003, 6369)
- Refactor dense heads and speed-up (6268)
- Migrate to use prior_generator in the training of dense heads (6315)

Contributors

A total of 18 developers contributed to this release.
Thanks Boyden, onnkeat, st9007a, vealocia, yhcao6, DapangpangX, yellowdolphin, cclauss, kennymckormick,
pingguokiller, collinzrj, AndreaPi, AronLin, BIGWangYuDong, hhaAndroid, jshilong, RangiLyu, ZwwWayne

New Contributors
* AndreaPi made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6252
* pingguokiller made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6256
* kennymckormick made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6245
* yellowdolphin made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6259
* DapangpangX made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6293
* vealocia made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6050
* st9007a made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6374
* onnkeat made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6382
* Boyden made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6378

**Full Changelog**: https://github.com/open-mmlab/mmdetection/compare/v2.17.0...v2.18.0

Highlights

- Support [PVT](https://arxiv.org/abs/2102.12122) and [PVTv2](https://arxiv.org/abs/2106.13797)
- Support [SOLO](https://arxiv.org/abs/1912.04488)
- Support large scale jittering and New Mask R-CNN baselines
- Speed up `YOLOv3` inference

New Features

- Support [PVT](https://arxiv.org/abs/2102.12122) and [PVTv2](https://arxiv.org/abs/2106.13797) (#5780)
- Support [SOLO](https://arxiv.org/abs/1912.04488) (#5832)
- Support large scale jittering and New Mask R-CNN baselines (6132)
- Add a general data structrue for the results of models (5508)
- Added a base class for one-stage instance segmentation (5904)
- Speed up `YOLOv3` inference (5991)
- Release Swin Transformer pre-trained models (6100)
- Support mixed precision training in `YOLOX` (5983)
- Support `val` workflow in `YOLACT` (5986)
- Add script to test `torchserve` (5936)
- Support `onnxsim` with dynamic input shape (6117)

Bug Fixes

- Fix the function naming errors in `model_wrappers` (5975)
- Fix regression loss bug when the input is an empty tensor (5976)
- Fix scores not contiguous error in `centernet_head` (6016)
- Fix missing parameters bug in `imshow_bboxes` (6034)
- Fix bug in `aug_test` of `HTC` when the length of `det_bboxes` is 0 (6088)
- Fix empty proposal errors in the training of some two-stage models (5941)
- Fix `dynamic_axes` parameter error in `ONNX` dynamic shape export (6104)
- Fix `dynamic_shape` bug of `SyncRandomSizeHook` (6144)
- Fix the Swin Transformer config link error in the configuration (6172)

Improvements

- Add filter rules in `Mosaic` transform (5897)
- Add size divisor in get flops to avoid some potential bugs (6076)
- Add Chinese translation of `docs_zh-CN/tutorials/customize_dataset.md` (5915)
- Add Chinese translation of `conventions.md` (5825)
- Add description of the output of data pipeline (5886)
- Add dataset information in the README file for `PanopticFPN` (5996)
- Add `extra_repr` for `DropBlock` layer to get details in the model printing (6140)
- Fix CI out of memory and add PyTorch1.9 Python3.9 unit tests (5862)
- Fix download links error of some model (6069)
- Improve the generalization of XML dataset (5943)
- Polish assertion error messages (6017)
- Remove `opencv-python-headless` dependency by `albumentations` (5868)
- Check dtype in transform unit tests (5969)
- Replace the default theme of documentation with PyTorch Sphinx Theme (6146)
- Update the paper and code fields in the metafile (6043)
- Support to customize padding value of segmentation map (6152)
- Support to resize multiple segmentation maps (5747)

Contributors
A total of 24 developers contributed to this release.
Thanks morkovka1337, HarborYuan, guillaumefrd, guigarfr, www516717402, gaotongxiao, ypwhs, MartaYang, shinya7y, justiceeem, zhaojinjian0000, VVsssssk, aravind-anantha, wangbo-zhao, czczup, whai362, czczup, marijnl, AronLin, BIGWangYuDong, hhaAndroid, jshilong, RangiLyu, ZwwWayne


New Contributors
* www516717402 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5975
* gaotongxiao made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6017
* MartaYang made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6034
* justiceeem made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5915
* zhaojinjian0000 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5897
* VVsssssk made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5936
* aravind-anantha made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6104
* czczup made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5780
* marijnl made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5886
* HarborYuan made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5747
* morkovka1337 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6172
* guillaumefrd made their first contribution in https://github.com/open-mmlab/mmdetection/pull/6140

**Full Changelog**: https://github.com/open-mmlab/mmdetection/compare/v2.16.0...v2.17.0

Highlights

- Support [Panoptic FPN](https://arxiv.org/abs/1901.02446) and [Swin Transformer](https://arxiv.org/abs/2103.14030)

New Features

- Support [Panoptic FPN](https://arxiv.org/abs/1901.02446) and release models (#5577, 5902)
- Support Swin Transformer backbone (5748)
- Release RetinaNet models pre-trained with multi-scale 3x schedule (5636)
- Add script to convert unlabeled image list to coco format (5643)
- Add hook to check whether the loss value is valid (5674)
- Add YOLO anchor optimizing tool (5644)
- Support export onnx models without post process. (5851)
- Support classwise evaluation in CocoPanopticDataset (5896)
- Adapt browse_dataset for concatenated datasets. (5935)
- Add `PatchEmbed` and `PatchMerging` with `AdaptivePadding` (5952)

Bug Fixes

- Fix unit tests of YOLOX (5859)
- Fix lose randomness in `imshow_det_bboxes` (5845)
- Make output result of `ImageToTensor` contiguous (5756)
- Fix inference bug when calling `regress_by_class` in RoIHead in some cases (5884)
- Fix bug in CIoU loss where alpha should not have gradient. (5835)
- Fix the bug that `multiscale_output` is defined but not used in HRNet (5887)
- Set the priority of EvalHook to LOW. (5882)
- Fix a YOLOX bug when applying bbox rescaling in test mode (5899)
- Fix mosaic coordinate error (5947)
- Fix dtype of bbox in RandomAffine. (5930)

Improvements

- Add Chinese version of `data_pipeline` and (5662)
- Support to remove state dicts of EMA when publishing models. (5858)
- Refactor the loss function in HTC and SCNet (5881)
- Use warnings instead of logger.warning (5540)
- Use legacy coordinate in metric of VOC (5627)
- Add Chinese version of customize_losses (5826)
- Add Chinese version of model_zoo (5827)

Contributors

A total of 19 developers contributed to this release.
Thanks ypwhs, zywvvd, collinzrj, OceanPang, ddonatien, haotian-liu, viibridges, Muyun99, guigarfr, zhaojinjian0000, jbwang1997,wangbo-zhao, xvjiarui, RangiLyu, jshilong, AronLin, BIGWangYuDong, hhaAndroid, ZwwWayne


New Contributors
* zywvvd made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5756
* ddonatien made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5926
* viibridges made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5899
* haotian-liu made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5882
* Muyun99 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5973
* jbwang1997 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5827

**Full Changelog**: https://github.com/open-mmlab/mmdetection/compare/v2.15.1...v2.16.0

Highlights

- Support [YOLOX](https://arxiv.org/abs/2107.08430)

New Features

- Support [YOLOX](https://arxiv.org/abs/2107.08430)(#5756, 5758, 5760, 5767, 5770, 5774, 5777, 5808, 5828, 5848)

Bug Fixes

- Update correct SSD models. (5789)
- Fix casting error in mask structure (5820)
- Fix MMCV deployment documentation links. (5790)

Improvements

- Use dynamic MMCV download link in TorchServe dockerfile (5779)
- Rename the function `upsample_like` to `interpolate_as` for more general usage (5788)

Contributors

A total of 14 developers contributed to this release.
Thanks HAOCHENYE, xiaohu2015, HsLOL, zhiqwang, Adamdad, shinya7y, Johnson-Wang, RangiLyu, jshilong, mmeendez8, AronLin, BIGWangYuDong, hhaAndroid, ZwwWayne

**Full Changelog**: https://github.com/open-mmlab/mmdetection/compare/v2.15.0...v2.15.1