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Releases: open-mmlab/mmagic

MMEditing v0.12.0 Release

04 Jan 14:18
bf53426
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Highlights

  1. Support RealBasicVSR
  2. Support Real-ESRGAN checkpoint

New Features

  • Support video input and output in restoration demo (#622)
  • Support RealBasicVSR (#632, #633, #647, #680)
  • Support Real-ESRGAN checkpoint (#635)
  • Support conversion to y-channel when loading images (643)
  • Support random video compression during training (#646)
  • Support crop sequence (#648)
  • Support pixel_unshuffle (#684)

Bug Fixes

  • Change 'target_size' for RandomResize from list to tuple (#617)
  • Fix folder creation in preprocess_df2k_ost_dataset.py (#623)
  • Change TDAN config path in README (#625)
  • Change 'radius' to 'kernel_size' for UnsharpMasking in Real-ESRNet config (#626)
  • Fix bug in MATLABLikeResize (#630)
  • Fix 'flow_warp' comment (#655)
  • Fix the error of Model Zoo and Datasets in docs (#664)
  • Fix bug in 'random_degradations' (#673)
  • Limit opencv-python version (#689)

Improvements

  • Translate docs to Chinese (#576, #577, #578, #579, #581, #582, #584, #587, #588, #589, #590, #591, #592, #593, #594, #595, #596, #641, #647, #656, #665, #666)
  • Add UNetDiscriminatorWithSpectralNorm (#605)
  • Use PyTorch sphinx theme (#607, #608)
  • Update mmcv (#609), mmflow (#621), mmfewshot (#634) and mmhuman3d (#649) in docs
  • Convert minimum GCC version to 5.4 (#612)
  • Add tiff in SRDataset IMG_EXTENSIONS (#614)
  • Update metafile and update_model_index.py (#615)
  • Update preprocess_df2k_ost_dataset.py (#624)
  • Add Abstract to README (#628, #636)
  • Align NIQE to MATLAB results (#631)
  • Add official markdown lint hook (#639)
  • Skip CI when some specific files were changed (#640)
  • Update docs/conf.py (#644, #651)
  • Try to create a symbolic link on windows (#645)
  • Cancel previous runs that are not completed (#650)
  • Update path of configs in demo.md and getting_started.md (#658, #659)
  • Use mmcv root model registry (#660)
  • Update README.md (#654, #663)
  • Refactor the structure of documentation (#668)
  • Add script to crop REDS images into sub-images for faster IO (#669)
  • Capitalize the first letter of the task name in the metafile (#678)
  • Update FixedCrop for cropping image sequence (#682)

Contributors
@wangruohui @nbei @ckkelvinchan @Yshuo-Li @LeoXing1996 @RangiLyu @matrixgame2018 @huoshuai-dot @innerlee @okotaku @Adenialzz @kai422

MMEditing v0.11.0 Release

03 Nov 12:53
ce2a70f
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Highlights

  • GLEAN for blind face image restoration #530
  • Real-ESRGAN model #546

New Features

  • Exponential Moving Average Hook #542
  • Support DF2K_OST dataset #566

Improvements

  • Add MATLAB-like bicubic interpolation #507
  • Support random degradations during training #504
  • Support torchserve #568

Contributors
@ckkelvinchan @Yshuo-Li @Adenialzz @kai422 @jiaqixuac @plygager @Ha0Tang @innerlee

MMEditing v0.10.0 Release

20 Aug 01:35
d67080b
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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! ❤️

MMEditing v0.9.0 Release

06 Jul 02:33
28ebf90
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Highlights

  1. Support DIC and DIC-GAN (CVPR'2020)
  2. Support GLEAN Cat 8x (CVPR'2021)
  3. Support TTSR-GAN (CVPR'2020)
  4. Add colab tutorial for super-resolution

New Features

Bug Fixes

  • Fix bug in restoration_video_inference.py (#379)
  • Fix Config of LIIF (#368)
  • Change the path to pre-trained EDVR-M (#396)
  • Fix normalization in restoration_video_inference (#406)
  • Fix [brush_stroke_mask] error in unittest (#409)

Breaking Changes

  • Change mmcv minimum version to v1.3 (#378)

Improvements

  • Correct Typos in code (#371)
  • Add Custom_hooks (#362)
  • Refactor unittest folder structure (#386)
  • Add documents and download link for Vid4 (#399)
  • Update model zoo for documents (#400)
  • Update metafile (407)

MMEditing v0.8.0 Release

02 Jun 15:22
7622cf8
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Highlights

  1. Support GLEAN (CVPR'2021)
  2. Support TTSR (CVPR'2020)
  3. Support TDAN (CVPR'2020)

New Features

Bug Fixes

  • Fix find_unused_parameters in PyTorch 1.8 for BasicVSR (#290)
  • Fix error in publish_model.py for pt>=1.6 (#291)
  • Fix PSNR when input is uint8 (#294)

Improvements

  • Support backend in LoadImageFromFile (#293, #303)
  • Update metric_average_mode of video SR dataset (#319)
  • Add error message in restoration_demo.py (324)
  • Minor correction in getting_started.md (#339)
  • Update description for Vimeo90K (#349)
  • Support start_index in GenerateSegmentIndices (#338)
  • Support different filename templates in GenerateSegmentIndices (#325)
  • Support resize by scale-factor (#295, #310)

MMEditing v0.7.0 Release

06 May 01:01
3cfdd8f
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TL;DR

  1. Support BasicVSR (CVPR'2021)
  2. Support IconVSR (CVPR'2021)
  3. Support RDN (CVPR'2018)
  4. Add onnx evaluation tool

New Features

Bug Fixes

  • Fix onnx conversion of maxunpool2d (#243)
  • Fix inpainting in demo.md (#248)
  • Tiny fix of config file of EDSR (#251)
  • Fix link in README (#256)
  • Fix restoration_inference key missing bug (#270)
  • Fix the usage of channel_order in loading.py (#271)
  • Fix the command of inpainting (#278)
  • Fix preprocess_vimeo90k_dataset.py args name (#281)

Improvements

  • Support empty_cache option in test.py (#261)
  • Update projects in README (#249, #276)
  • Support Y-channel PSNR and SSIM (#250)
  • Add zh-CN README (#262)
  • Update pytorch2onnx doc (#265)
  • Remove extra quotation in English readme (#268)
  • Change tags to comment (#269)
  • List model zoo in README (#284, #285, #286)

MMEditing v0.6.0 Release

08 Apr 12:20
264a096
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Highlights

  1. Support Local Implicit Image Function (LIIF)
  2. Support exporting DIM and GCA from Pytorch to ONNX

New Features

  • Add readthedocs config files and fix docstring (#92)
  • Add github action file (#94)
  • Support exporting DIM and GCA from Pytorch to ONNX (#105)
  • Support concatenating datasets (#106)
  • Support non_dist_train validation (#110)
  • Add matting colab tutorial (#111)
  • Support niqe metric (#114)
  • Support PoolDataLoader for parrots (#134)
  • Support collect-env (#137, #143)
  • Support pt1.6 cpu/gpu in CI (#138)
  • Support fp16 (139, #144)
  • Support publishing to pypi (#149)
  • Add modelzoo statistics (#171, #182, #186)
  • Add doc of datasets (194)
  • Support extended foreground option. (#195, #199, #200, #210)
  • Support nn.MaxUnpool2d (#196)
  • Add some FBA components (#203, #209, #215, #220)
  • Support random down sampling in pipeline (#222)
  • Support SR folder GT Dataset (#223)
  • Support Local Implicit Image Function (LIIF) (#224, #226, #227, #234, #239)

Bug Fixes

  • Fix _non_dist_train in train api (#104)
  • Fix setup and CI (#109)
  • Fix redundant loop bug in Normalize (#121)
  • Fix get_hash in setup.py (#124)
  • Fix tool/preprocess_reds_dataset.py (#148)
  • Fix slurm train tutorial in getting_started.md (#162)
  • Fix pip install bug (#173)
  • Fix bug in config file (#185)
  • Fix broken links of datasets (#236)
  • Fix broken links of model zoo (#242)

Breaking Changes

  • Refactor data loader configs (#201)

Improvements

  • Updata requirements.txt (#95, #100)
  • Update teaser (#96)
  • Updata README (#93, #97, #98, #152)
  • Updata model_zoo (#101)
  • Fix typos (#102, #188, #191, #197, #208)
  • Adopt adjust_gamma from skimage and reduce dependencies (#112)
  • remove .gitlab-ci.yml (#113)
  • Update import of first party (#115)
  • Remove citation and contact (#122)
  • Update version file (#136)
  • Update download url (#141)
  • Update setup.py (#150)
  • Update the highest version of supported mmcv (#153, #154)
  • modify Crop to handle a sequence of video frames (#164)
  • Add links to other mm projects (#179, #180)
  • Add config type (#181)
  • Refector docs (#184)
  • Add config link (#187)
  • Update file structure (#192)
  • Update config doc (#202)
  • Update slurm_train.md script (#204)
  • Improve code style (#206, #207)
  • Use file_client in CompositeFg (#212)
  • Replace random with numpy.random (#213)
  • Refactor loader_cfg (#214)

MMEditing v0.5.0 Release

11 Oct 07:00
81b8464
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New Features

  • NIQE metric (#114)
  • Support FP16 training (#139)

Improvements

  • Update version file (#136)
  • Update collect env function (#137)
  • Update download urls (#141)
  • Update docker file with pt1.6 (#144)