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Changelog

v0.3.4 (01/02/2023)

Improvements

  • Use iof for RRandomCrop validation (#660)
  • Upgrade e2cnn version (#713)
  • Support empty patch in Rotate Transform (#712)

Bug Fixes

  • Fix scikit-learn installation (#658)
  • Fix deprecated np.bool (#685)

Documentations

  • Minor correction in the documentation (#643)

Contributors

A total of 3 developers contributed to this release. Thanks @nijkah, @jistiak, @RangiLyu

v0.3.3 (27/10/2022)

Bug Fixes

  • Fix reppoint bug fix when negative image training (#396)
  • Fix bug in oriented_reppoints_head.py (#424)
  • Fix mmcv-full version (#423)

Improvements

  • Update issue templates to main branch (#579)
  • Fix lint of dev branch (#578)

Documentations

  • Update citation (#425)
  • Fix markdown version when building docs (#414)

Contributors

A total of 5 developers contributed to this release. Thanks @yangxue0827, @ZwwWayne, @MinkiSong, @zytx121, @RangiLyu

v0.3.2 (6/7/2022)

Highlight

  • Support Oriented Reppoints (CVPR'22) (#286)
  • Support ConvNeXt backbone (CVPR'22) (#343)

New Features

  • Support RMosaic. (#344)

Bug Fixes

  • Fix max_coordinate in multiclass_nms_rotated. (#346)
  • Fix bug in PolyRandomRotate. (#366)
  • Fix memory shortage when using huge_image_demo.py. (#368)

Improvements

  • Update README.md and INSTALL.md. (#342)
  • Fix typo in rotated_fcos_head. (#354)
  • Update checkpoint and eval interval of base config. (#347)
  • Fix mdformat version to support python3.6 & Add mim to extras_require in setup.py. (#359)
  • Add mim test in CI. (#374)

Contributors

A total of 9 developers contributed to this release. Thanks @LiWentomng @heiyuxiaokai @JinYuannn @sltlls @liuyanyi @yangxue0827 @jbwang1997 @zytx121 @ZwwWayne

v0.3.1 (6/6/2022)

Highlight

  • Support Rotated FCOS (#223)

New Features

  • Update PolyRandomRotate to support discrete angle value. (#281)
  • Support RRandomCrop. (#322)
  • Support mask in merge_results and huge_image_demo.py. (#280)
  • Support don't filter images without ground truths. (#323)
  • Add MultiImageMixDataset in build_dataset. (#331)

Bug Fixes

  • Fix error in Windows CI. (#324)
  • Fix data path error in config files. (#328)
  • Fix bug when visualize the HRSC2016 detect results. (#329)

Improvements

  • Add torchserve doc in zh_cn. (#287)
  • Fix doc typo in README. (#284)
  • Configure Myst-parser to parse anchor tag (#305 #308)
  • Replace markdownlint with mdformat for avoiding installing ruby. (#306)
  • Fix typo about split gap of multi scale. (#272)

Contributors

A total of 7 developers contributed to this release. Thanks @liuyanyi @nijkah @remi-or @yangxue0827 @jbwang1997 @zytx121 @ZwwWayne

v0.3.0 (29/4/2022)

Highlight

  • Support TorchServe (#160)
  • Support Rotated ATSS (CVPR'20) (#179)

New Features

  • Update performance of ReDet on HRSC2016. (#203)

  • Upgrage visualization to custom colors of different classes. This requires mmdet>=2.22.0. (#187, #267, #270)

  • Update Stable KLD, which solve the Nan issue of KLD training. (#183)

  • Support setting dataloader arguments in config and add functions to handle config compatibility. (#215) The comparison between the old and new usages is as below.

    Before v0.2.0 Since v0.3.0 
    data = dict(
    samples_per_gpu=2, workers_per_gpu=2,
    train=dict(type='xxx', ...),
    val=dict(type='xxx', samples_per_gpu=4, ...),
    test=dict(type='xxx', ...),
)
    		 
    # A recommended config that is clear
data = dict(
    train=dict(type='xxx', ...),
    val=dict(type='xxx', ...),
    test=dict(type='xxx', ...),
    # Use different batch size during inference.
    train_dataloader=dict(samples_per_gpu=2, workers_per_gpu=2),
    val_dataloader=dict(samples_per_gpu=4, workers_per_gpu=4),
    test_dataloader=dict(samples_per_gpu=4, workers_per_gpu=4),
)

# Old style still works but allows to set more arguments about data loaders
data = dict(
    samples_per_gpu=2,  # only works for train_dataloader
    workers_per_gpu=2,  # only works for train_dataloader
    train=dict(type='xxx', ...),
    val=dict(type='xxx', ...),
    test=dict(type='xxx', ...),
    # Use different batch size during inference.
    val_dataloader=dict(samples_per_gpu=4, workers_per_gpu=4),
    test_dataloader=dict(samples_per_gpu=4, workers_per_gpu=4),
)

  • Add get_flops tool (#176)

Bug Fixes

  • Fix bug about rotated anchor inside flags. (#197)
  • Fix Nan issue of GWD. (#206)
  • Fix bug in eval_rbbox_map when labels_ignore is None. (#209)
  • Fix bug of 'RoIAlignRotated' object has no attribute 'output_size' (#213)
  • Fix bug in unit test for datasets. (#222)
  • Fix bug in rotated_reppoints_head. (#246)
  • Fix GPG key error in CI and docker. (#269)

Improvements

  • Update citation of mmrotate in README.md (#263)
  • Update the introduction of SASM (AAAI'22) (#184)
  • Fix doc typo in Config File and Model Zoo. (#199)
  • Unified RBox definition in doc. (#234)

Contributors

A total of 7 developers contributed to this release. Thanks @nijkah @GamblerZSY @liuyanyi @yangxue0827 @jbwang1997 @zytx121 @ZwwWayne

v0.2.0 (30/3/2022)

New Features

  • Support Circular Smooth Label (CSL, ECCV'20) (#153)
  • Support multiple machines dist_train (#143)
  • Add browse_dataset tool (#98)
  • Add gather_models script (#162)

Bug Fixes

  • Remove in-place operations in rbbox_overlaps (#155)
  • Fix bug in docstring. (#137)
  • Fix bug in HRSCDataset with clasesswise=ture (#175)

Improvements

  • Add Chinese translation of docs/zh_cn/tutorials/customize_dataset.md (#65)
  • Add different seeds to different ranks (#102)
  • Update from-scratch install script in install.md (#166)
  • Improve the arguments of all mmrotate scripts (#168)

Contributors

A total of 6 developers contributed to this release. Thanks @zytx121 @yangxue0827 @ZwwWayne @jbwang1997 @canoe-Z @matrixgame2018

v0.1.1 (14/3/2022)

New Features

  • Support huge image inference (#34)
  • Support HRSC Dataset (#96)
  • Support mixed precision training (#72)
  • Add colab tutorial for beginners (#66)
  • Add inference speed statistics tool (#86)
  • Add confusion matrix analysis tool (#93)

Bug Fixes

  • Fix URL error of Swin pretrained model (#111)
  • Fix bug for SASM during training (#105)
  • Fix rbbox_overlaps abnormal when the box is too small (#61)
  • Fix bug for visualization (#12, #81)
  • Fix stuck when compute mAP (#14, #52)
  • Fix 'RoIAlignRotated' object has no attribute 'out_size' bug (#51)
  • Add missing init_cfg in dense head (#37)
  • Fix install an additional mmcv (#17)
  • Fix typos in docs (#3, #11, #36)

Improvements

  • Move eval_rbbox_map from mmrotate.datasets to mmrotate.core.evaluation (#73)
  • Add Windows CI (#31)
  • Add copyright commit hook (#30)
  • Add Chinese translation of docs/zh_cn/get_started.md (#16)
  • Add Chinese translation of docs/zh_cn/tutorials/customize_runtime.md (#22)
  • Add Chinese translation of docs/zh_cn/tutorials/customize_config.md (#23)
  • Add Chinese translation of docs/zh_cn/tutorials/customize_models.md (#27)
  • Add Chinese translation of docs/zh_cn/model_zoo.md (#28)
  • Add Chinese translation of docs/zh_cn/faq.md (#33)

Contributors

A total of 13 developers contributed to this release. Thanks @zytx121 @yangxue0827 @jbwang1997 @liuyanyi @DangChuong-DC @RangeKing @liufeinuaa @np-csu @akmalulkhairin @SheffieldCao @BrotherHappy @Abyssaledge @q3394101