Changelog

MMSelfSup

v0.11.0 (30/12/2022)

New Features

• Support InterCLR (#609)

Bug Fixes

• Fix potential bug of hook registration (#647)
• Fix sampling_replace config kwargs bug (#646)
• Change sklearn to scikit-learn in requirements (#583)

Improvements

• Update CI check rules (#581)
• Update assignee schedule (#606)

Docs

• Add global notes and the version switcher menu (#573)

v0.10.1 (01/11/2022)

Improvements

• Update issue template and management file (#550, #512)
• Move res-layer to models.utils (#537)

Docs

• Add MMYOLO description for README (#541)
• Fix typo for README (#545)
• Fix lint of MaskFeat (#520)

v0.10.0 (30/09/2022)

Highlight

• Support MaskFeat (#485)
• Update README to announce 1.0.0rc version (#474)

New Features

• Support MaskFeat (#485)

Bug Fixes

• Fix DenseCL init weights bug (#411)
• Fix norm typo in config (#418)
• Fix read image bug (#386)

Improvements

• Change hook_cfg type access (#409)
• Support to dump training config (#410)
• Support to save MAE visualization results (#388)
• Remove default value of deprecated option (#490)

Docs

• Update the link of MAE (#497)
• Update README to announce 1.0.0rc version (#474)
• Update get_started.md (#402)

v0.9.2 (28/07/2022)

New Features

• Support MAE Reconstructed Image Visualization (#376)

Bug Fixes

• Fix args/cfg bug in extract.py, use cfg.work_dir to save files (#357)
• Fix SimMIM mask generator config bug (#360)

Improvements

• Update mdformat settings (#323)
• Add circleci (#374)

Docs

• Fix the link of switch language (#327)
• Update lr_updater.py links in tutorials/4_schedule.md (#354)

v0.9.1 (31/05/2022)

Highlight

• Update BYOL model and results (#319)
• Refine some documentation

New Features

• Update BYOL models and results (#319)

Bug Fixes

• Set qkv bias to False for cae and True for mae (#303)
• Fix spelling errors in MAE config (#307)

Improvements

• Change the file name of cosine annealing hook (#304)
• Replace markdownlint with mdformat (#311)

Docs

• Fix typo in tutotial (#308)
• Configure Myst-parser to parse anchor tag (#309)
• Update readthedocs algorithm README (#310)
• Rewrite install.md (#317)
• refine README.md file (#318)

v0.9.0 (29/04/2022)

Highlight

• Support CAE (#284)
• Support Barlow Twins (#207)

New Features

• Support CAE (#284)
• Support Barlow twins (#207)
• Add SimMIM 192 pretrain and 224 fine-tuning results (#280)
• Add MAE pretrain with fp16 (#271)

Bug Fixes

• Fix args error (#290)
• Change imgs_per_gpu to samples_per_gpu in MAE config (#278)
• Avoid GPU memory leak with prefetch dataloader (#277)
• Fix key error bug when registering custom hooks (#273)

Improvements

• Update SimCLR models and results (#295)
• Reduce memory usage while running unit test (#291)
• Remove pytorch1.5 test (#288)
• Rename linear probing config file names (#281)
• add unit test for apis (#276)

Docs

• Fix SimMIM config link, and add SimMIM to model_zoo (#272)

v0.8.0 (31/03/2022)

Highlight

• Support SimMIM (#239)
• Add KNN benchmark, support KNN test with checkpoint and extracted backbone weights (#243)
• Support ImageNet-21k dataset (#225)

New Features

• Support SimMIM (#239)
• Add KNN benchmark, support KNN test with checkpoint and extracted backbone weights (#243)
• Support ImageNet-21k dataset (#225)
• Resume latest checkpoint automatically (#245)

Bug Fixes

• Add seed to distributed sampler (#250)
• Fix positional parameter error in dist_test_svm_epoch.sh (#260)
• Fix 'mkdir' error in prepare_voc07_cls.sh (#261)

Improvements

• Update args format from command line (#253)

Docs

• Fix command errors in 6_benchmarks.md (#263)
• Translate 6_benchmarks.md to Chinese (#262)

v0.7.0 (03/03/2022)

Highlight

• Support MAE (#221)
• Add Places205 benchmarks (#210)
• Add test Windows in workflows (#215)

New Features

• Support MAE (#221)
• Add Places205 benchmarks (#210)

Bug Fixes

• Fix config typos for rotation prediction and deepcluster (#200)
• Fix image channel bgr/rgb bug and update benchmarks (#210)
• Fix the bug when using prefetch under multi-view methods (#218)
• Fix tsne 'no init_cfg' error (#222)

Improvements

• Deprecate imgs_per_gpu and use samples_per_gpu (#204)
• Update the installation of MMCV (#208)
• Add pre-commit hook for algo-readme and copyright (#213)
• Add test Windows in workflows (#215)

Docs

• Translate 0_config.md into Chinese (#216)
• Reorganizing OpenMMLab projects and update algorithms in readme (#219)

v0.6.0 (02/02/2022)

Highlight

• Support vision transformer based MoCo v3 (#194)
• Speed up training and start time (#181)
• Support cpu training (#188)

New Features

• Support vision transformer based MoCo v3 (#194)
• Support cpu training (#188)

Bug Fixes

• Fix issue (#159, #160) related bugs (#161)
• Fix missing prob assignment in RandomAppliedTrans (#173)
• Fix bug of showing k-means losses (#182)
• Fix bug in non-distributed multi-gpu training/testing (#189)
• Fix bug when loading cifar dataset (#191)
• Fix dataset.evaluate args bug (#192)

Improvements

• Cancel previous runs that are not completed in CI (#145)
• Enhance MIM function (#152)
• Skip CI when some specific files were changed (#154)
• Add drop_last when building eval optimizer (#158)
• Deprecate the support for "python setup.py test" (#174)
• Speed up training and start time (#181)
• Upgrade isort to 5.10.1 (#184)

Docs

• Refactor the directory structure of docs (#146)
• Fix readthedocs (#148, #149, #153)
• Fix typos and dead links in some docs (#155, #180, #195)
• Update training logs and benchmark results in model zoo (#157, #165, #195)
• Update and translate some docs into Chinese (#163, #164, #165, #166, #167, #168, #169, #172, #176, #178, #179)
• Update algorithm README with the new format (#177)

v0.5.0 (16/12/2021)

Highlight

• Released with code refactor.
• Add 3 new self-supervised learning algorithms.
• Support benchmarks with MMDet and MMSeg.
• Add comprehensive documents.

Refactor

• Merge redundant dataset files.
• Adapt to new version of MMCV and remove old version related codes.
• Inherit MMCV BaseModule.
• Optimize directory.
• Rename all config files.

New Features

• Add SwAV, SimSiam, DenseCL algorithms.
• Add t-SNE visualization tools.
• Support MMCV version fp16.

Benchmarks

• More benchmarking results, including classification, detection and segmentation.
• Support some new datasets in downstream tasks.
• Launch MMDet and MMSeg training with MIM.

Docs

• Refactor README, getting_started, install, model_zoo files.
• Add data_prepare file.
• Add comprehensive tutorials.

OpenSelfSup (History)

v0.3.0 (14/10/2020)

Highlight

• Support Mixed Precision Training
• Improvement of GaussianBlur doubles the training speed
• More benchmarking results

Bug Fixes

• Fix bugs in moco v2, now the results are reproducible.
• Fix bugs in byol.

New Features

• Mixed Precision Training
• Improvement of GaussianBlur doubles the training speed of MoCo V2, SimCLR, BYOL
• More benchmarking results, including Places, VOC, COCO

v0.2.0 (26/6/2020)

Highlights

• Support BYOL
• Support semi-supervised benchmarks

Bug Fixes

• Fix hash id in publish_model.py

New Features

• Support BYOL.
• Separate train and test scripts in linear/semi evaluation.
• Support semi-supevised benchmarks: benchmarks/dist_train_semi.sh.
• Move benchmarks related configs into configs/benchmarks/.
• Provide benchmarking results and model download links.
• Support updating network every several iterations.
• Support LARS optimizer with nesterov.
• Support excluding specific parameters from LARS adaptation and weight decay required in SimCLR and BYOL.