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MMClassification Release V0.13.0
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@mzr1996 mzr1996 released this 05 Jul 02:22
· 313 commits to master since this release
v0.13.0
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New Features

  • Support Swin-Transformer backbone and add training configs for Swin-Transformer on ImageNet. (#271)
  • Add pretrained model of RegNetX. (#269)
  • Support adding custom hooks in the config file. (#305)
  • Improve and add Chinese translation of CONTRIBUTING.md and all tools tutorials. (#320)
  • Dump config before training. (#282)
  • Add torchscript and torchserve deployment tools. (#279, #284)

Improvements

  • Improve test tools and add some new tools. (#322)
  • Correct MobilenetV3 backbone structure and add pretained models. (#291)
  • Refactor PatchEmbed and HybridEmbed as independent components. (#330)
  • Refactor mixup and cutmix as Augments to support more funtions. (#278)
  • Refactor weights initialization method. (#270, #318, #319)
  • Refactor LabelSmoothLoss to support multiple calculation formulas. (#285)

Bug Fixes

  • Fix bug for CPU training. (#286)
  • Fix missing test data when num_imgs can not be evenly divided by num_gpus. (#299)
  • Fix build compatible with pytorch v1.3-1.5. (#301)
  • Fix magnitude_std bug in RandAugment. (#309)
  • Fix bug when samples_per_gpu is 1. (#311)
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