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Changelog

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

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

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)