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v1.0.0rc5 (04/01/2023)

Highlights We are excited to announce the release of MMEditing 1.0.0rc5. This release supports 49+ models, 180+ configs and 177+ checkpoints in MMGeneration and MMEditing. We highlight the following new features

  • Support Restormer

  • Support GLIDE

  • Support SwinIR

  • Support Stable Diffusion

New Features & Improvements

  • Disco notebook.(#1507)

  • Revise test requirements and CI.(#1514)

  • Recursive generate summary and docstring.(#1517)

  • Enable projects.(#1526)

  • Support mscoco dataset.(#1520)

  • Improve Chinese documents.(#1532)

  • Type hints.(#1481)

  • Update download link.(#1554)

  • Update deployment guide.(#1551)

Bug Fixes

  • Fix documentation link checker.(#1522)

  • Fix ssim first channel bug.(#1515)

  • Fix restormer ut.(#1550)

  • Fix extract_gt_data of realesrgan.(#1542)

  • Fix model index.(#1559)

  • Fix config path in disco-diffusion.(#1553)

  • Fix text2image inferencer.(#1523)

Contributors A total of 16 developers contributed to this release. Thanks @plyfager, @LeoXing1996, @Z-Fran, @zengyh1900, @VongolaWu, @liuwenran, @AlexZou14, @lvhan028, @xiaomile, @ldr426, @austin273, @whu-lee, @willaty, @curiosity654, @Zdafeng, @Taited

New Contributors

  • @xiaomile made their first contribution in https://github.com/open-mmlab/mmediting/pull/1481

  • @ldr426 made their first contribution in https://github.com/open-mmlab/mmediting/pull/1542

  • @austin273 made their first contribution in https://github.com/open-mmlab/mmediting/pull/1553

  • @whu-lee made their first contribution in https://github.com/open-mmlab/mmediting/pull/1539

  • @willaty made their first contribution in https://github.com/open-mmlab/mmediting/pull/1541

  • @curiosity654 made their first contribution in https://github.com/open-mmlab/mmediting/pull/1556

  • @Zdafeng made their first contribution in https://github.com/open-mmlab/mmediting/pull/1476

  • @Taited made their first contribution in https://github.com/open-mmlab/mmediting/pull/1534

v1.0.0rc4 (05/12/2022)

Highlights

We are excited to announce the release of MMEditing 1.0.0rc4. This release supports 45+ models, 176+ configs and 175+ checkpoints in MMGeneration and MMEditing. We highlight the following new features

  • Support High-level APIs.

  • Support diffusion models.

  • Support Text2Image Task.

  • Support 3D-Aware Generation.

New Features & Improvements

  • Refactor high-level APIs. (#1410)

  • Support disco-diffusion text-2-image. (#1234, #1504)

  • Support EG3D. (#1482, #1493, #1494, #1499)

  • Support NAFNet model. (#1369)

Bug Fixes

  • fix srgan train config. (#1441)

  • fix cain config. (#1404)

  • fix rdn and srcnn train configs. (#1392)

  • Revise config and pretrain model loading in esrgan. (#1407)

Contributors A total of 14 developers contributed to this release. Thanks @plyfager, @LeoXing1996, @Z-Fran, @zengyh1900, @VongolaWu, @gaoyang07, @ChangjianZhao, @zxczrx123, @jackghosts, @liuwenran, @CCODING04, @RoseZhao929, @shaocongliu, @liangzelong.

New Contributors

  • @gaoyang07 made their first contribution in https://github.com/open-mmlab/mmediting/pull/1372

  • @ChangjianZhao made their first contribution in https://github.com/open-mmlab/mmediting/pull/1461

  • @zxczrx123 made their first contribution in https://github.com/open-mmlab/mmediting/pull/1462

  • @jackghosts made their first contribution in https://github.com/open-mmlab/mmediting/pull/1463

  • @liuwenran made their first contribution in https://github.com/open-mmlab/mmediting/pull/1410

  • @CCODING04 made their first contribution in https://github.com/open-mmlab/mmediting/pull/783

  • @RoseZhao929 made their first contribution in https://github.com/open-mmlab/mmediting/pull/1474

  • @shaocongliu made their first contribution in https://github.com/open-mmlab/mmediting/pull/1470

  • @liangzelong made their first contribution in https://github.com/open-mmlab/mmediting/pull/1488

v1.0.0rc3 (03/11/2022)

Highlights

We are excited to announce the release of MMEditing 1.0.0rc3. This release supports 43+ models, 170+ configs and 169+ checkpoints in MMGeneration and MMEditing. We highlight the following new features

  • convert mmdet and clip to optional requirements.

New Features & Improvements

  • Support try_import for mmdet. (#1408)

  • Support try_import for flip. (#1420)

  • Complete requirements (#1419)

  • Update .gitignore. ($1416)

  • Set real_feat to cpu in inception_utils. (#1415)

  • Modify README and configs of StyleGAN2 and PEGAN (#1418)

  • Improve the rendering of Docs-API (#1373)

Bug Fixes

  • Revise config and pretrain model loading in ESRGAN (#1407)

  • Revise config of LSGAN (#1409)

  • Revise config of CAIN (#1404)

Contributors

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

v1.0.0rc2 (02/11/2022)

Highlights

We are excited to announce the release of MMEditing 1.0.0rc2. This release supports 43+ models, 170+ configs and 169+ checkpoints in MMGeneration and MMEditing. We highlight the following new features

  • patch-based and slider-based image and video comparison viewer.

  • image colorization.

We want to sincerely thank our community for continuously improving MMEditing.

New Features & Improvements

  • Support qualitative comparison tools. (#1303)

  • Support instance aware colorization. (#1370)

  • Support multi-metrics with different sample-model. (#1171)

  • Improve the implementation

    • refactoring evaluation metrics. (#1164)

    • Save gt images in PGGAN’s forward. (#1332)

    • Improve type and change default number of preprocess_div2k_dataset.py. (#1380)

    • Support pixel value clip in visualizer. (#1365)

    • Support SinGAN Dataset and SinGAN demo. (#1363)

    • Avoid cast int and float in GenDataPreprocessor. (#1385)

  • Improve the documentation

    • Update a menu switcher. (#1162)

    • Fix TTSR’s README. (#1325)

    • Revise docs (change PackGenInputs and GenDataSample). (#1382)

Bug Fixes

  • Fix PPL bug. (#1172)

  • Fix RDN number of channels. (#1328)

  • Fix types of exceptions in demos. (#1372)

  • Fix realesrgan ema. (#1341)

  • Improve the assertion to ensuer GenerateFacialHeatmap as np.float32. (#1310)

  • Fix sampling behavior of unpaired_dataset.py and urls in cyclegan’s README. (#1308)

  • Fix vsr models in pytorch2onnx. (#1300)

  • Fix incorrect settings in configs. (#1167,#1200,#1236,#1293,#1302,#1304,#1319,#1331,#1336,#1349,#1352,#1353,#1358,#1364,#1367,#1384,#1386,#1391,#1392,#1393)

New Contributors

  • @gaoyang07 made their first contribution in https://github.com/open-mmlab/mmediting/pull/1372

Contributors

A total of 7 developers contributed to this release. Thanks @LeoXing1996, @Z-Fran, @zengyh1900, @plyfager, @ryanxingql, @ruoningYu, @gaoyang07.

v1.0.0rc1(23/9/2022)

MMEditing 1.0.0rc1 has merged MMGeneration 1.x.

  • Support 42+ algorithms, 169+ configs and 168+ checkpoints.

  • Support 26+ loss functions, 20+ metrics.

  • Support tensorboard, wandb.

  • Support unconditional GANs, conditional GANs, image2image translation and internal learning.

v1.0.0rc0(31/8/2022)

MMEditing 1.0.0rc0 is the first version of MMEditing 1.x, a part of the OpenMMLab 2.0 projects.

Built upon the new training engine, MMEditing 1.x unifies the interfaces of dataset, models, evaluation, and visualization.

And there are some BC-breaking changes. Please check the migration tutorial for more details.

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.

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