Mmcv

&x1F600; **We are glad to announce that we are providing the mmcv-full pre-built packages for torch1.11.0 starting from v1.4.7.**

bash
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](https://github.com/open-mmlab/mmcv/blob/master/docs/get_started/previous_versions.md). 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

&x1F600; **We are glad to announce that we are providing the mmcv-full pre-built packages for torch1.11.0 starting from v1.4.7.**

bash
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](https://github.com/open-mmlab/mmcv/blob/master/docs/get_started/previous_versions.md). 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

&x1F600; **We are glad to announce that we are providing the mmcv pre-built packages on Windows starting from v1.4.0.**

bash
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/cu102/torch1.10.0/index.html
We can ignore the micro version of PyTorch
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.10/index.html


Features

- Add detection3d op `spconv` (1581)
- Support `deepcopy` for Config (1658)

Improvements

- Refactor the interface of `RoIAlignRotated` (1662)
- Replace positional argument with keyword argument in `EvalHook` when calling `save_checkpoint` (1694)

Bug fixes

- Remove unused header files (1653)

Documentations

- Fix spelling error in registry.md (1717)

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](https://github.com/open-mmlab/mmcv/blob/master/docs/get_started/previous_versions.md). 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.

rentainhe mzr1996 MeowZheng wHao-Wu grimoire ZwwWayne AllentDan teamwong111 zhouzaida nijkah luopeichao makifozkanoglu

&x1F600; **We are glad to announce that we are providing the mmcv pre-built packages on Windows starting from v1.4.0.**

bash
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/cu102/torch1.10.0/index.html
We can ignore the micro version of PyTorch
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.10/index.html


Improvements

- Replace `HSwish` with PyTorch implementation (1709)

Bug fixes

- Fix the undefined name error (1695)
- Fix an incorrect assignment in the `BaseTransformerLayer` (1670)
- Fix the mismatch torch version of `MlflowLoggerHook` (1680)
- Fix a bug in `min_area_polygons` (1702)
- Fix batched nms for `nms_rotated` (1688)

Documentations

- Add cuDNN installation steps in tensorrt_plugin.md (1711)

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](https://github.com/open-mmlab/mmcv/blob/master/docs/get_started/previous_versions.md). 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 11 developers contributed to this release.

nijkah zytx121 jamiechoi1995 jshilong MeowZheng RangiLyu RunningLeon HAOCHENYE ZwwWayne zhouzaida grimoire

&x1F600; **We are glad to announce that we are providing the mmcv pre-built packages on Windows starting from v1.4.0.**

bash
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/cu102/torch1.10.0/index.html
We can ignore the micro version of PyTorch
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.10/index.html


Features

- Add 6 rotated detection ops for parrots (1665)
- Gradually reduce the difference between max_lr and base_lr of `CyclicLrUpdaterHook` (1655)

Improvements

- Improve the docstring of `LoggerHooks` (1664)

Bug fixes

- Fix the unit test of correlation op (1659)
- Fix the invalid CUDA memory access when training s2anet (1660)
- Fix the bug of momentum updater with warmup policy (1626)
- Align `HSigmoid` with PyTorch official implementation(1622)
- Fix the `scatter` function when the device type of input is CPU (1621)
- Fix the `cast_tensor_type` (1639)

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](https://github.com/open-mmlab/mmcv/blob/master/docs/get_started/previous_versions.md). 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 11 developers contributed to this release.

hokmund HAOCHENYE ZwwWayne teamwong111 zhouzaida luopeichao Bilibilee gaotongxiao imyhxy zhanggefan grimoire

&x1F600; **We are glad to announce that we are providing the mmcv pre-built packages on Windows starting from v1.4.0.**

bash
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/cu102/torch1.10.0/index.html


Features

- Add three rotated detection ops, which are `ConvexIoU`, `ActiveRotatedFilter` and `MinAreaPolygon` (1610, 1598, 1611)
- Add artifact logging to wandb hook (1616)

Improvements

- Deprecate the support for "python setup.py test" (1637)
- Add clockwise argument to ops box_iou_rotated and nms_rotated (1592)
- Replace `DIVUP` with `GET_BLOCKS` (1586)
- Refactor requirements (1536)

Bug fixes

- Fix the compilation error on windows (1657, 1643)
- Fix iou3d bug in parrots (1656)

Documentations

- Add the link of mmdeploy (1638)

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](https://github.com/open-mmlab/mmcv/blob/master/docs/get_started/previous_versions.md). The compatibility is still ensured in our CI, but we will discard the support of PyTorch 1.3 & 1.4 next year.

Contributors

A total of 12 developers contributed to this release.

zytx121 fcakyon zhanggefan LudoBar zhouzaida ZwwWayne grimoire luopeichao MeowZheng AllentDan Johnson-Wang teamwong111