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MMDetection V2.21.0 Release

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@ZwwWayne ZwwWayne released this 08 Feb 10:56
· 278 commits to master since this release
9894980

Breaking Changes

To standardize the contents in config READMEs and meta files of OpenMMLab projects, the READMEs and meta files in each config directory have been significantly changed. The template will be released in the future, for now, you can refer to the examples of README for algorithm, dataset and backbone. To align with the standard, the configs in dcn are put into to two directories named dcn and dcnv2.

New Features

  • Allow to customize colors of different classes during visualization (#6716)
  • Support CPU training (#7016)
  • Add download script of COCO, LVIS, and VOC dataset (#7015)

Bug Fixes

  • Fix weight conversion issue of RetinaNet with Swin-S (#6973)
  • Update __repr__ of Compose (#6951)
  • Fix BadZipFile Error when build docker (#6966)
  • Fix bug in non-distributed multi-gpu training/testing (#7019)
  • Fix bbox clamp in PyTorch 1.10 (#7074)
  • Relax the requirement of PALETTE in dataset wrappers (#7085)
  • Keep the same weights before reassign in the PAA head (#7032)
  • Update code demo in doc (#7092)

Improvements

  • Speed-up training by allow to set variables of multi-processing (#6974, #7036)
  • Add links of Chinese tutorials in readme (#6897)
  • Disable cv2 multiprocessing by default for acceleration (#6867)
  • Deprecate the support for "python setup.py test" (#6998)
  • Re-organize metafiles and config readmes (#7051)
  • Fix None grad problem during training TOOD by adding SigmoidGeometricMean (#7090)

Contributors

A total of 26 developers contributed to this release.
Thanks @del-zhenwu, @zimoqingfeng, @srishilesh, @imyhxy, @jenhaoyang, @jliu-ac, @kimnamu, @ShengliLiu, @garvan2021, @ciusji, @DIYer22, @kimnamu, @q3394101, @zhouzaida, @gaotongxiao, @topsy404, @AntoAndGar, @jbwang1997, @nijkah, @ZwwWayne, @Czm369, @jshilong, @RangiLyu, @BIGWangYuDong, @hhaAndroid, @AronLin

New Contributors

Full Changelog: v2.20.0...v2.21.0