MMCV Release V1.6.2

Features

• Register a new activation layer SiLU to ACTIVATION_LAYERS (#2256)
• Add support of TorchVision's Model Registration API (#2246)
• Add five MLU ops, which are CARAFEcarafe, MaskedConv2d, ThreeNN, DeformRoiPool, and RoipointPool3d (#2212, #2202, #2215, #2137,#2247)

Improvements

• Add support for logging parameters to MlflowLoggerHook (#2188)
• Add a new argument params to MlflowLoggerHook (#2193)
• Support different border modes in imrotate (#2141)
• Add pillow backend for ColorJitter related functions (#2127)

Bug fixes

• Fix unit tests of onnx (#2155)
• Fix cumulative gradient optimizer when resuming (#2093)
• Path mapping only once in storage backends (#2204)
• Fix RoiAlignRotated MLU implementation (#2210)
• Fix a potential bug in PrRoIPool op (#2200)
• Fix spconv clang-format (#2260)
• Remove the restrictions of onnx versions (#2251)
• Fix init_weights of MultiScaleDeformableAttention (#2158)
• Cast the type of mask in ModulatedDeformConv2dFunction to enable training with AMP (#2220)
• Fix the calculation error of out_w in MaskedConv2dFunction (#2264)
• Fix ROCm backend support (#1918)

Documentations

• Limit sphinx_markdown_tables and markdown versions (#2144)
• Add swith_language.md in docs (#2160)
• Fix the example error in registry.md (#2243)
• Add zhihu articles (#2157)
• Fix some mistakes in data_process.md (#2283)

Others

• Add type hints for mmcv/image (#2089)

New Contributors

• @gfyts0123 made their first contribution in #2103
• @xcnick made their first contribution in #2155
• @eivtho made their first contribution in #2188
• @CokeDong made their first contribution in #2189
• @tudejiang79 made their first contribution in #2210
• @DanieeelLiu made their first contribution in #2215
• @PungTeng made their first contribution in #2243
• @ZShaopeng made their first contribution in #2247
• @zstreet87 made their first contribution in #1918
• @okotaku made their first contribution in #2256
• @datumbox made their first contribution in #2246

Full Changelog: v1.6.1...v1.6.2

MMCV Release V2.0.0rc1

Highlights

Starting from mmcv v2.0.0rc1, mmcv removes training process related modules such as Runner, Hook, Parallel, which will be provided by MMEngine. In addition, in v2.0.0rc1, mmcv added many data augmentation methods, such as CenterCrop.

MMCV Release V1.6.1

😀 We are glad to announce that we are providing the mmcv-full pre-built packages for PyTorch 1.12.0 starting from v1.6.0.

pip install -U openmim
mim install mmcv-full

Features

• Add bbox overlap MPS op (#2123)
• Add PrRoIPool CUDA op (#2113)

Improvements

• Improve ProfilerHook behavior when using a relative (or empty) dir_name (#2119)

Documentations

• Fix some mistakes of examples (#2120)
• Fix typos (#2124)
• Fix markdown version (#2121)

Others

• Add .pre-commit-config-zh-cn.yaml to speed up pre-commit in some cases

Contributors

A total of 6 developers contributed to this release.

@JingweiZhang12 @grimoire @zhouzaida @GPhilo @0Reza @Happylkx

New Contributors

• @Happylkx made their first contribution in #2120
• @0Reza made their first contribution in #2124
• @GPhilo made their first contribution in #2119
• @JingweiZhang12 made their first contribution in #2113

Full Changelog: v1.6.0...v1.6.1

MMCV Release V1.6.0

😀 We are glad to announce that we are providing the mmcv-full pre-built packages for PyTorch 1.12.0 starting from v1.6.0.

pip install -U openmim
mim install mmcv-full

Features

• Add support for MPS (#2092)
• Support RoiPool with Cambricon MLU backend (#2073)

Improvements

• Add torch_meshgrid wrapper due to PyTorch change (#2044)
• Add _run_ddp_forward method for MMDistributedDataParallel to be compatible with PyTorch1.12 (#2107)

Bug fixes

• Fix name error in trt_deform_conv.cpp (#2075)
• Add torchvision_0.12.json for testing torchvision0.13 (#2084)
• Fix num_channels in test_build_norm_layer which can not be divisible by num_groups (#2085)
• Fix index error when using multi-samplers strategy (#2094)
• Fix undefined variable error in pixel_group.cpp (#2104)

Type Hints

#2031 #1991 #2003 #1995 #1993 #2030 #2002

Documentations

• Reformat the op docs (#2052)
• Add Dockerfile (#1974)

Contributors

A total of 14 developers contributed to this release.

@imabackstabber @triple-Mu @HAOCHENYE @zhouzaida @ZwwWayne @pallgeuer @triwahyuu @ytzhao @WINDSKY45 @EvelynWang-0423 @grimoire @zcyKTH @zhangtingyu11 @ychfan

MMCV Release V1.5.3

Features

• Add ChamferDistance CUDA op (#1933)
• Add two MLU ops, RoiAlignRotated and PSAMask (#2033 #2024)

Bug fixes

• Fix protobuf compatible error (#1992)
• Include torchvision_12.json in the sdist package (#2039)
• make iou3d.boxes_iou3d actually calculate 3D IoU (#2018)
• Fix batched_nms for rotated box and add type hints for nms.py (#2006)

Type Hints

Thanks to contributors for their efforts, mmcv has added type hints, which makes the code more readable. Here are all the pull requests of adding type hints.

#1981 #1989 #1998 #1985 #1987 #1983 #2005 #1988 #2013 #2007 #2015 #2017 #2001 #2019 #2021 #2023 #2000 #2026 #1997 #2029 #2016 #2008 #2031 #1982 #1994 #1999 #2020 #2037 #2034 #1996 #2050

Documentations

• Update copyright years in docs (#2042)
• Fix mdformat version to support python3.6 (#2014)

Contributors

A total of 22 developers contributed to this release.

@RangeKing @gy-7 @triple-Mu @ytzhao @zengxiang68 @yangrisheng @WINDSKY45 @ShawnHXH @vansin @HarborYuan
@tcexeexe @luopeichao @zcyKTH @filaPro @nxznm @liuyanyi @grimoire @zhouzaida @HAOCHENYE @ZwwWayne @teamwong111 @imabackstabber

MMCV Release V1.5.2

Improvements

• Lower the restrictions of _resize method in BaseMergeCell (#1959)
• Replace BEV IoU with 3D IoU (#1902)
• Hook can get data_batch from Runner (#1940)
• Add pyupgrade pre-commit hook (#1937)

Bug fixes

• Fix bbox overlap fp16 (#1958)
• Skip CPU test in test_rotated_feature_align.py for parrots (#1968)
• Fix is_module_wrapper (#1900)
• Fix the problem that the instance cannot be reused when overwriting the file client (#1747)

Documentations

• Replace markdownlint with mdformat for avoiding installing ruby (#1936)
• Fix failed links in docs/zh_cn/faq.md (#1964)
• Fix docstrings in EvalHook (#1978)

Notes

Since PyTorch 1.11.0 has been released and we have provided the mmcv-full pre-compiled packages for it, we no longer provide them compiled with PyTorch 1.3 & 1.4 since v1.3.17. You can find previous versions compiled with PyTorch 1.3 & 1.4 here. The compatibility is still ensured in our CI, but we will discard the support of PyTorch 1.3 & 1.4 this year.

Contributors

A total of 14 developers contributed to this release.

@grimoire @teamwong111 @zhouzaida @JarvisKevin @HAOCHENYE @jshilong @filaPro @HIT-cwh @hhaAndroid @ZwwWayne @Tai-Wang @274869388 @wlf-darkmatter @imabackstabber

MMCV Release V1.5.1

Features

• Added ClearMLLoggerHook (#1906)
• Added rotated_feature_align cpu & onnxruntime implementations (#1878)
• Supports registering function (#1858)
• Added adjust_hue (#1628)
• Added a script to visualize lr (#1667)

Improvements

• Speeds up bbox_overlaps op (#1718)
• Added support for latest Pillow resampling filter naming scheme (#1931)

Bug fixes

• Fixed collec_env() encoding error on Windows (#1905)
• Fixed dump method of Config (#1837)
• Fixed bbox_overlaps unit tests (#1914)
• Ensures the type of filename parameter in Config is str (#1725)
• Fixed nms rotate illegal memory access (#1891)
• Fixed LmdbBackend which could not pickle env obj (#1764)
• Fixed type annotations in file_client (#1942)
• Fixed bbox overlap fp16 (#1958)

Documentations

• Added IPU installation documentation (#1904)
• Added type annotations (#1947, #1950, #1946)

Contributors

A total of 18 developers contributed to this release.

@imabackstabber @akravchuk97 @SuTanTank @grimoire @teamwong111 @HuDi2018 @WilliamKyle @luopeichao @274869388 @bryandeng @tehkillerbee @cuhk-hbsun @jmercat @triple-Mu @sundongwei @teamwong111 @ZwwWayne @zhouzaida

MMCV Release V1.5.0

Features

• Support training on IPU chip (#1882)
• Support training on MLU chip (#1770, #1563,#1884,#1885,#1881)
• Support for linearly learning rate decay (#1627)

Improvements

• Optimize correlation (#1814)
• Speed up Registry initialization (#1844)
• NMS with CUDA only (#1824)
• Add a differentiable rotated IoU op (#1854)
• Support passing None to DictAction (#1834)
• Enhance get_torchvision_models (#1867)

Bug fixes

• Fix Python3.10 CI (#1828)
• Fix collect_env() in Windows (#1789, #1887)
• Fix sparse_conv unit test by releasing cache on GPU (#1872)
• Fix unexpected keyword argument for GELU (#1847)
• Fix potential negative padding size (#1792)
• Fix version comparison to include prerelease versions (#1877)

Documentations

• Fix docstring (#1876, #1880)

Notes

Since PyTorch 1.11.0 has been released and we have provided the mmcv-full pre-compiled packages for it, we no longer provide them compiled with PyTorch 1.3 & 1.4 since v1.3.17. You can find previous versions compiled with PyTorch 1.3 & 1.4 here. The compatibility is still ensured in our CI, but we will discard the support of PyTorch 1.3 & 1.4 this year.

Contributors

A total of 29 developers contributed to this release.

@wulele2 @Sharpiless @RockeyCoss @teamwong111 @SuTanTank @grimoire @MeowZheng @triple-Mu @astahlman @Qiza-lyhm @daydayfun @VVsssssk @Charlyo @filaPro @zytx121 @DCNSW @luopeichao @gaotongxiao @yushinliu @zihanchang11 @raoshenglong @zcyKTH @Mrxiaofei @HuDi2018 @vakker @zhouzaida @ZwwWayne @HAOCHENYE @imabackstabber

MMCV Release V1.4.8

😀 We are glad to announce that we are providing the mmcv-full pre-built packages for torch1.11.0 starting from v1.4.7.

# pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/{cu_version}/{torch_version}/index.html
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu115/torch1.11/index.html
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.11/index.html
# PyTorch does not provide pre-built packages for cu102 on Windows, so does mmcv-full
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.11/index.html

Features

• Config ignores imported modules and functions (#1802)
• Implemented corner pool with python for torch<1.5 (#1772)

Improvements

• Removed warnings in compilation (#1675)
• Updated unit tests of mmdet3d ops (#1811)

Bug fixes

• Fix ROCm support (#1704)
• Fix MultiScaleDeformableAttention (#1823)
• Fix voxelization bug (#1822)
• Fix error cased by _sync_params which was renamed in torch1.11.0 (#1816)

Documentations

• Add more Windows information in README (#1829)

Notes

Since PyTorch 1.10.0 has been released and we have provided the mmcv-full pre-compiled packages for it, we no longer provide them compiled with PyTorch 1.3 & 1.4 since v1.3.17. You can find previous versions compiled with PyTorch 1.3 & 1.4 here. The compatibility is still ensured in our CI, but we will discard the support of PyTorch 1.3 & 1.4 this year.

Contributors

A total of 12 developers contributed to this release.

@SuTanTank @VVsssssk @wHao-Wu @grimoire @jshilong @zhanggefan @luopeichao @imabackstabber @HAOCHENYE @zhouzaida @ZwwWayne @teamwong111

MMCV Release V1.4.7

😀 We are glad to announce that we are providing the mmcv-full pre-built packages for torch1.11.0 starting from v1.4.7.

# pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/{cu_version}/{torch_version}/index.html
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu115/torch1.11/index.html
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.11/index.html
# PyTorch does not provide pre-built packages for cu102 on Windows, so does mmcv-full
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.11/index.html

Features

• Add SegmindLoggerHook (#1650)
• Config supports shallow copy (#1796)
• Support fp16 training for gather_points op (#1758)
• Add non-deterministic voxelization op from mmdet3d (#1783)
• Add worker_init_fn helper function to initialize dataloader workers (#1788)

Bug fixes

• Fix deconv_flops_counter_hook (#1760)
• Fix deform_conv inconsistent pybind (#1781)
• Fix ProfilerHook when using IterBasedRunner (#1755)
• Include spconv header files in the sdist package (#1766)
• Fix bugs in DynamicScatter and Voxelization ops (#1748, #1746)

Documentations

• Fix typos in config.md, cnn.md and data_process.md (#1797, #1798, #1799)
• Fix a wrong example in DefaultOptimizerConstructor (#1795)

Deprecations

• Add deprecated warning of deployment (#1750)

Others

• Add copyright pre-commit-hook (#1742)
• Reorganize OpenMMLab projects in README.md (#1744)
• Fix typo in conv.py (#1759)
• Add .owners.yml to dispatch daily issue (#1775)
• Add PyTorch1.11.0 CI (#1800)

Notes

Since PyTorch 1.10.0 has been released and we have provided the mmcv-full pre-compiled packages for it, we no longer provide them compiled with PyTorch 1.3 & 1.4 since v1.3.17. You can find previous versions compiled with PyTorch 1.3 & 1.4 here. The compatibility is still ensured in our CI, but we will discard the support of PyTorch 1.3 & 1.4 this year.

Contributors

A total of 15 developers contributed to this release.

@saurbhc @XiwuChen @Xiangxu-0103 @SuTanTank @imflash217 @wangruohui @imabackstabber @del-zhenwu @gaotongxiao @HAOCHENYE @zhouzaida @RunningLeon @ZwwWayne @wHao-Wu @teamwong111