MMClassification Release V1.0.0rc5

Highlights

• Support EVA, RevViT, EfficientnetV2, CLIP, TinyViT and MixMIM backbones.
• Reproduce the training accuracy of ConvNeXt and RepVGG.
• Support multi-task training and testing.
• Support Test-time Augmentation.

New Features

• [Feature] Add EfficientnetV2 Backbone. (#1253)
• [Feature] Support TTA and add --tta in tools/test.py. (#1161)
• [Feature] Support Multi-task. (#1229)
• [Feature] Add clip backbone. (#1258)
• [Feature] Add mixmim backbone with checkpoints. (#1224)
• [Feature] Add TinyViT for dev-1.x. (#1042)
• [Feature] Add some scripts for development. (#1257)
• [Feature] Support EVA. (#1239)
• [Feature] Implementation of RevViT. (#1127)

Improvements

• [Reproduce] Reproduce RepVGG Training Accuracy. (#1264)
• [Enhance] Support ConvNeXt More Weights. (#1240)
• [Reproduce] Update ConvNeXt config files. (#1256)
• [CI] Update CI to test PyTorch 1.13.0. (#1260)
• [Project] Add ACCV workshop 1st Solution. (#1245)
• [Project] Add Example project. (#1254)

Bug Fixes

• [Fix] Fix imports in transforms. (#1255)
• [Fix] Fix CAM visualization. (#1248)
• [Fix] Fix the requirements and lazy register mmcls models. (#1275)

Contributors

A total of 12 developers contributed to this release.

@marouaneamz @piercus @Ezra-Yu @mzr1996 @bobo0810 @suibe-qingtian @Scarecrow0 @tonysy @WINDSKY45 @wangbo-zhao @Francis777 @okotaku