v2.16.0
版本发布时间: 2021-08-31 10:18:22
open-mmlab/mmdetection最新发布版本:v3.3.0(2024-01-05 14:24:15)
Highlights
- Support Panoptic FPN and Swin Transformer
New Features
- Support Panoptic FPN 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
andPatchMerging
withAdaptivePadding
(#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