MMEditing v0.10.0 Release

Highlights

1. Support LIIF-RDN (CVPR'2021)
2. Support BasicVSR++ (NTIRE'2021)

New Features

• Support loading annotation from file for video SR datasets (#423)
• Support persistent worker (#426)
• Support LIIF-RDN (#428, #440)
• Support BasicVSR++ (#451, #467)
• Support mim (#455)

Bug Fixes

• Fix bug in stat.py (#420)
• Fix astype error in function tensor2img (#429)
• Fix device error caused by torch.new_tensor when pytorch >= 1.7 (#465)
• Fix _non_dist_train in .mmedit/apis/train.py (#473)
• Fix multi-node distributed test (#478)

Breaking Changes

• Refactor LIIF for pytorch2onnx (#425)

Improvements

• Update Chinese docs (#415, #416, #418, #421, #424, #431, #442)
• Add CI of pytorch 1.9.0 (#444)
• Refactor README.md of configs (#452)
• Avoid loading pretrained VGG in unittest (#466)
• Support specifying scales in preprocessing div2k dataset (#472)
• Support all formats in readthedocs (#479)
• Use version_info of mmcv (#480)
• Remove unnecessary codes in restoration_video_demo.py (#484)
• Change priority of DistEvalIterHook to 'LOW' (#489)
• Reset resource limit (#491)
• Update QQ QR code in README_CN.md (#494)
• Add myst_parser (#495)
• Add license header (#496)
• Fix typo of StyleGAN modules (#427)
• Fix typo in docs/demo.md (#453, #454)
• Fix typo in tools/data/super-resolution/reds/README.md (#469)

We thank all the contributors of this release:

@610265158, @AlexZou14, @Ha0Tang, @LiUzHiAn, @Yshuo-Li, @ckkelvinchan, @innerlee, @nbei, @orangeccc, @wileechou, @yivan-WYYGDSG

Thank you! ❤️