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Changelog

v0.16.0 (31/10/2022)

Deprecations

VisualizationHook is deprecated. Users should use MMEditVisualizationHook instead. (#1375)

Old Version Current Version 
visual_config = dict(  # config to register visualization hook
  type='VisualizationHook',
  output_dir='visual',
  interval=1000,
  res_name_list=[
      'gt_img', 'masked_img', 'fake_res', 'fake_img', 'fake_gt_local'
  ],
)
 
visual_config = dict(  # config to register visualization hook
  type='MMEditVisualizationHook',
  output_dir='visual',
  interval=1000,
  res_name_list=[
      'gt_img', 'masked_img', 'fake_res', 'fake_img', 'fake_gt_local'
  ],
)

New Features & Improvements

  • Improve arguments type in preprocess_div2k_dataset.py. (#1381)
  • Update docstring of RDN. (#1326)
  • Update the introduction in readme. (#)

Bug Fixes

  • Fix FLAVR register in mmedit/models/video_interpolators when importing FLAVR. (#1186)
  • Fix data path processing in restoration_video_inference.py. (#1262)
  • Fix the number of channels in RDB. (#1292, #1311)

Contributors

A total of 5 developers contributed to this release. Thanks @LeoXing1996, @Z-Fran, @zengyh1900, @ryanxingql, @ruoningYu.

v0.15.2 (09/09/2022)

Improvements

Contributors

@wangruohui @Yshuo-Li @zengyh1900 @Z-Fran @ychfan @arch-user-france1 @Yulv-git

v0.15.1 (04/07/2022)

Bug Fixes

  • [Fix] Update cain_b5_g1b32_vimeo90k_triplet.py (#929)
  • [Docs] Fix link to OST dataset (#933)

Improvements

  • [Docs] Update instruction to OST dataset (#937)
  • [CI] No actual execution in CUDA envs (#921)
  • [Docs] Add watermark to demo video (#935)
  • [Tests] Add mim ci (#928)
  • [Docs] Update README.md of FLAVR (#919)
  • [Improve] Update md-format in .pre-commit-config.yaml (#917)
  • [Improve] Add miminstall.txt in setup.py (#916)
  • [Fix] Fix clutter in dim/README.md (#913)
  • [Improve] Skip problematic opencv-python versions (#833)

Contributors

@wangruohui @Yshuo-Li

v0.15.0 (01/06/2022)

Highlights

  1. Support FLAVR
  2. Support AOT-GAN
  3. Support CAIN with ReduceLROnPlateau Scheduler

New Features

  • Add configs for AOT-GAN (#681)
  • Support Vimeo90k-triplet dataset (#810)
  • Add default config for mm-assistant (#827)
  • Support CPU demo (#848)
  • Support use_cache and backend in LoadImageFromFileList (#857)
  • Support VFIVimeo90K7FramesDataset (#858)
  • Support ColorJitter for VFI (#859)
  • Support ReduceLrUpdaterHook (#860)
  • Support after_val_epoch in IterBaseRunner (#861)
  • Support FLAVR Net (#866, #867, #897)
  • Support MAE metric (#871)
  • Use mdformat (#888)
  • Support CAIN with ReduceLROnPlateau Scheduler (#906)

Bug Fixes

  • Change - to _ for restoration_demo.py (#834)
  • Remove recommonmark in requirements/docs.txt (#844)
  • Move EDVR to VSR category in README.md (#849)
  • Remove , in multi-line F-string in crop.py (#855)
  • Modify double lq_path to gt_path in test_pipeline (#862)
  • Fix unittest of TOF-VFI (#873)
  • Fix wrong frames in VFI demo (#891)
  • Fix logo & contrib guideline on README (#898)
  • Normalizing trimap in indexnet_dimaug_mobv2_1x16_78k_comp1k.py (#901)

Improvements

  • Add --cfg-options in train/test scripts (#826)
  • Update MMCV_MAX to 1.6 (#829)
  • Update TOFlow in README (#835)
  • Recover beirf installation steps & merge optional requirements (#836)
  • Use {MMEditing Contributors} in citation (#838)
  • Add tutorial for customizing losses (#839)
  • Add installation guide (wiki ver) in README (#845)
  • Add a 'need help to traslate' note on Chinese documentation (#850)
  • Add wechat QR code in README_zh-CN.md (#851)
  • Support non-zero frame index for SRFolderVideoDataset & Fix Typos (#853)
  • Create README.md for docker (#856)
  • Optimize IO for flow_warp (#881)
  • Move wiki/installation to docs (#883)
  • Add myst_heading_anchors (#887)
  • Use checkpoint link in inpainting demo (#892)

Contributors

@wangruohui @quincylin1 @nijkah @jayagami @ckkelvinchan @ryanxingql @NK-CS-ZZL @Yshuo-Li

v0.14.0 (01/04/2022)

Highlights

  1. Support TOFlow in video frame interpolation

New Features

  • Support AOT-GAN (#677)
  • Use --diff-seed to set different torch seed on different rank (#781)
  • Support streaming reading of frames in video interpolation demo (#790)
  • Support dist_train without slurm (#791)
  • Put LQ into CPU for restoration_video_demo (#792)
  • Support gray normalization constant in EDSR (#793)
  • Support TOFlow in video frame interpolation (#806, #811)
  • Support seed in DistributedSampler and sync seed across ranks (#815)

Bug Fixes

  • Update link in README files (#782, #786, #819, #820)
  • Fix matting tutorial, and fix links to colab (#795)
  • Invert flip_ratio in RandomAffine pipeline (#799)
  • Update preprocess_div2k_dataset.py (#801)
  • Update SR Colab Demo Installation Method and Set5 link (#807)
  • Fix Y/GRB mistake in EDSR README (#812)
  • Replace pytorch install command to conda in README(_zh-CN).md (#816)

Improvements

  • Update CI (#650)
  • Update requirements.txt (#725, #817)
  • Add Tutorial of dataset (#758), pipeline (#779), model (#766)
  • Update index and TOC tree (#767)
  • Make update_model_index.py compatible on windows (#768)
  • Update doc build system (#769)
  • Update keyword and classifier for setuptools (#773)
  • Renovate installation (#776, #800)
  • Update BasicVSR++ and RealBasicVSR docs (#778)
  • Update citation (#785, #787)
  • Regroup docs (#788)
  • Use full name of config as 'Name' in metafile (#798)
  • Update figure and video demo in README (#802)
  • Add clamp(0, 1) in test of video frame interpolation (#805)
  • Use hyphen for command line args in demo & tools (#808), and keep underline for required arguments in python files (#822)
  • Make dataset.pipeline a dedicated section in doc (#813)
  • Update mmcv-full>=1.3.13 to support DCN on CPU (#823)

Contributors

@wangruohui @ckkelvinchan @Yshuo-Li @nijkah @wdmwhh @freepoet @quincylin1

v0.13.0 (01/03/2022)

Highlights

  1. Support CAIN
  2. Support EDVR-L
  3. Support running in Windows

New Features

  • Add test-time ensemble for images and videos and support ensemble in BasicVSR series (#585)
  • Support AOT-GAN (work in progress) (#674, #675, #676)
  • Support CAIN (#683, #691, #709, #713)
  • Add basic interpolater (#687)
  • Add BaseVFIDataset and VFIVimeo90KDataset (#695, #697)
  • Add video interpolation demo (#688, #717)
  • Support various scales in RRDBNet (#699)
  • Support Ref-SR inference (#716)
  • Support EDVR-L on REDS (#719)
  • Support CPU training (#720)
  • Support running in Windows (#732, #738)
  • Support DCN on CPU (#735)

Bug Fixes

  • Fix link address in docs (#703, #704)
  • Fix ARG MMCV in Dockerfile (#708)
  • Fix file permission of non-executable files (#718)
  • Fix some deprecation warning related to numpy (#728)
  • Delete __init__ in TestVFIDataset (#731)
  • Fix data type in docstring of several Datasets (#739)
  • Fix math notation in docstring (#741)
  • Fix missing folders in copyright commit hook (#754)
  • Delete duplicate test in loading (#756)

Improvements

  • Update Pillow from 6.2.2 to 8.4 in CI (#693)
  • Add argument 'repeat' to SRREDSMultipleGTDataset (#672)
  • Deprecate the support for "python setup.py test" (#701)
  • Add setup multi-processing both in train and test (#707)
  • Add OpenMMLab website and platform links (#710)
  • Refact README files of all methods (#712)
  • Replace string version comparison with package.version.parse (#723)
  • Add docs of Ref-SR demo and video frame interpolation demo (#724)
  • Add interpolation and refact README.md (#726)
  • Update isort version in pre-commit hook (#727)
  • Redesign CI for Linux (#734)
  • Update install.md (#763)
  • Reorganizing OpenMMLab projects in readme (#764)
  • Add deprecation message for deploy tools (#765)

Contributors

@wangruohui @ckkelvinchan @Yshuo-Li @quincylin1 @Juggernaut93 @anse3832 @nijkah

v0.12.0 (31/12/2021)

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)

v0.11.0 (03/11/2021)

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

v0.10.0 (12/08/2021).

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)

v0.9.0 (30/06/2021).

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)

v0.8.0 (31/05/2021).

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)

v0.7.0 (30/04/2021).

Highlights

  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)

v0.6.0 (08/04/2021).

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)
  • Refactor 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)

v0.5.0 (09/07/2020).

Note that MMSR has been merged into this repo, as a part of MMEditing. With elaborate designs of the new framework and careful implementations, hope MMEditing could provide better experience.