Changelog

v0.5.2(01/10/2023)

New Features

• Add flow1d attention (#195)

Fix bugs

• Fix some URLs of RAFT (#206)

• Fix in-place operator in RAFT (#252)

• Fix the deprecation of np.int (#270)

• Fix the deprecation of sklearn PyPI package (272)

Documentation

• Update intro.md (#238)

• Update 1_inference.md (#267)

Improvements

• Update mmcv max version (#256)

• Update pre-commit hooks (#258)

New Contributors

• @Fc-idris made their first contribution in https://github.com/open-mmlab/mmflow/pull/195

• @Salvatore-tech made their first contribution in https://github.com/open-mmlab/mmflow/pull/238

• @forkbabu made their first contribution in https://github.com/open-mmlab/mmflow/pull/267

v0.5.1(07/29/2022)

Improvements

• Set the maximum version of MMCV to 1.7.0 (167)

• Update the qq_group_qrcode image in resources (166)

New Contributors

• @Weepingchestnut made their first contribution in https://github.com/open-mmlab/mmflow/pull/166

v0.5.0(07/01/2022)

Highlight

• Add config and pre-trained model for FlowNet2 on FlyingChairs (163)

Documentation

• Add a template for PR (160)

• Fix config file error in metafile (151)

• Fix broken URL in metafile (157)

• Fix broken URLs for issue reporting in README (147)

Improvements

• Add mim to extras_require in setup.py (154)

• Fix mdformat version to support python3.6 and remove ruby install (153)

• Add test_mim.yml for testing commands of mim in CI (158)

v0.4.2(05/31/2022)

Bug Fixes

• Inference bug for sparse flow map (133)

• H and W input images must be divisible by 2**6 (136)

Documentation

• Configure Myst-parser to parse anchor tag (129)

• Replace markdownlint with mdformat for avoiding installing ruby (130)

• Rewrite install and README by (139, 140, 141, 144, 145)

v0.4.1(04/29/2022)

Feature

• Loading flow annotation from file client (#116)

• Support overall dastaloader settings (#117)

• Generate ann_file for flyingchairs (121)

Improvements

• Add GPG keys in CI(127)

Bug Fixes

• The config and weights are not corresponding in the metafile.yml (#118)

• Replace recommonmark with myst_parser (#120)

Documentation

• Add zh-cn doc 0_config_.md (#126)

New Contributors

• @HiiiXinyiii made their first contribution in https://github.com/open-mmlab/mmflow/pull/118

• @SheffieldCao made their first contribution in https://github.com/open-mmlab/mmflow/pull/126

v0.4.0(04/01/2022)

Highlights

• Support occlusion estimation methods including flow forward-backward consistency, range map of the backward flow, and flow forward-backward abstract difference

Features

• Support three occlusion estimation methods (#106)

• Support different seeds on different ranks when distributed training (#104)

Improvements

• Revise collect_env for win platform (#112)

• Add script and documentation for multi-machine distributed training (#107)

v0.3.0(03/04/2022)

Highlights

• Officially support CPU Train/Inference

• Add census loss, SSIM loss and smoothness loss

• Officially support model inference in windows platform

• Update nan files in Flyingthings3d_subset dataset

Features

• Add census loss (#100)

• Add smoothness loss function (#97)

• Add SSIM loss function (#96)

Bug Fixes

• Update nan files in Flyingthings3d_subset (#94)

• Add pretrained pwcnet-model when train PWCNet+ (#99)

• Fix bug in non-distributed multi-gpu training/testing (#85)

• Fix writing flow map bug in test (#83)

Improvements

• Add win-ci (#92)

• Update the installation of MMCV (#89)

• Upgrade isort in pre-commit hook (#87)

• Support CPU Train/Inference (#86)

• Add multi-processes script (#79)

• Deprecate the support for “python setup.py test” (#73)

Documentation

• Fix broken URLs in GMA README (#93)

• Fix date format in readme (#90)

• Reorganizing OpenMMLab projects in readme (#98)

• Fix README files of algorithms (#84)

• Add url of OpenMMLab and platform in README (76)

v0.2.0(01/07/2022)

Highlights

• Support GMA: Learning to Estimate Hidden Motions with Global Motion Aggregation (ICCV 2021) (#32)

• Fix the bug of wrong refine iter in RAFT, and update RAFT model checkpoint after the bug fixing (#62, #68)

• Support resuming from the latest checkpoint automatically (#71)

Features

• Add scale_as_level for multi-level flow loss (#58)

• Add scale_mode for correlation block (#56)

• Add upsample_cfg in IRR-PWC decoder (#53)

Bug Fixes

• Resized input image must be dividable by 2^6 (#65)

• Fix RAFT wrong refine iter after evaluation (#62)

Improvements

• Add persistent_workers=True in val_dataloader (#63)

• Revise env_info key (#46)

• Add digital version (#43)

• Try to create a symbolic link on windows (#37)

• Set a random seed when the user does not set a seed (#27)

Refactors

• Refactor utils in models (#50)

Documentation

• Refactor documentation (#14)

• Fix script bug in FlyingChairs dataset prepare (#21)

• Fix broken links in model_zoo (#60)

• Update metafile (#39, #41, #49)

• Update documentation (#28, #35, #36, #47, #48, #70)