Mmcv

&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 `RotatedFeatureAlign`, `RiRoIAlignRotated` and `PointsInPolygons` (1603, 1599, 1600)
- Support device dispatch in parrots (1588)

Improvements

- Fix some warnings in the unit tests (1522)
- Improve the `DvcliveLoggerHook` (1208)
- `tensor2imgs` supports converting a tensor to gray image (1595)

Bug fixes

- Compute distance to origin after sort (1500)
- Convert the type of bias to the same as the input in `ModulatedDeformConv2dFunction` (1605)

Documentations

- Refactor the structure of documentation (1580)
- Fix the typo in `runner.md` (1591)

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 11 developers contributed to this release.

teamwong111 grimoire uniyushu daavoo cuhk-hbsun zhouzaida ZwwWayne gaotongxiao AceCoooool zytx121 luopeichao

&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 `ModuleDict` inherited from BaseModule and ModuleDict (1542)
- Add `PatchEmbed` and `PatchMerging` modules used by transformer methods (1305)
- Add multiple backends support for `imread/imwrite` (1527)

Improvements

- Cancel previous CI jobs that are not completed or in the queue (1537)
- Detect anomalous parameters for debugging (1547)
- `batched_nms` supportd skipping the NMS operation (1552)

Bug fixes

- Fix the TensorRT error with PyTorch 1.8+ (1464)
- Fix `_get_checkpoint_loader` that can not correctly obtain a loader when the path of ceph contains cluster name (1577)
- Fix `load_from_local` that can not handle the path starting with `~` (1549)
- Fix the type inconsistency when a config contains the `_delete_` key (1575)

Documentations

- Fix the documentation of deployment (1512)
- Fix the format of docstring (1462, 1573)
- Update FAQ (1481)

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 10 developers contributed to this release.

lvhan027 RunningLeon grimoire zhouzaida ZwwWayne LutingWang MeowZheng teamwong111 twmht 274869388

&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


Improvements

- Replace the third-party `markdownlint` hook with the official (1535)
- Add the CircleCI to test the unit tests of CUDA (1540)
- Skip CI when some specific files were changed (1533)

Bug fixes

- Fix the python bind of iou3d (1524)
- Fix a compiled error on Windows (1526, 1543)
- Fix a compiled error on Linux with cuda9.0 (1525)
- Fix an undefined symbol error when installing from pip (1544)

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 5 developers contributed to this release.

grimoire teamwong111 zhouzaida ZwwWayne wangruohui del-zhenwu

New features

- Add group_points, iou3d, roiaware_pool3d and voxelize in parrots (1504)

Improvements

- Refactor csrc with device dispatcher (1463)
- Update MMCls models in model_zoo/mmcls.json (1513)
- Improve .gitignore about datasets and logs and checkpoints (1477)

Bug fixes

- Fix compiled error on Windows (1510)
- Fix the unit test of Deform Conv (1490)
- Fix train example (1502)
- Fix ops links in LICENSES (1517)
- Skip the checking of `LOCAL_RANK` when loading checkpoint from HTTP or HTTPS (1396)
- Add load_url to handle incompatibility of PyTorch versions (1377)

Docs

- Add a script to check the installation of mmcv-full (1474)
- Add the URL of pre-built packages built with CUDA 11.3 (1489)
- Fix grammatical error in Registry docs (1516)
- Add the link and introduction of MMFlow in README (1506)

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 13 developers contributed to this release.

grimoire lzhangzz RunningLeon zhouzaida ZwwWayne teamwong111 MeowZheng luopeichao mzr1996 vansin tobiasfshr innerlee ly015

Improvements

- Improve the log when loading checkpoints (1446)

Bug fixes

- Fix the wrong weight reference in BaseTransformerLayer (1418)
- Sleep 2 seconds to prevent deadlock in `IterBasedRunner` (1442)
- Fix deform conv by adding an extra argument `im2col_step` (1459)
- Print a warning log if eval_res is an empty dict (1398)
- Rename the init parameter task to name in PaviLoggerHook (1438)
- Update the test data of `test_tin_shift` (1426)

Docs

- Add ops definition (1434)
- Fix invalid symbols in docstring (1466)
- Update the table of pre-built packages in README (1433)

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.

grimoire gaotongxiao zhouzaida ZwwWayne teamwong111 MeowZheng ly015 nbei RangiLyu Junjun2016 hhaAndroid RunningLeon

New features

- Add 4 detection3d related CUDA operators, which are `voxel op`, `roiaware pool3d op`, `iou3d op` and `group points op` (1381, 1382, 1356, 1415)
- Power `FileClient` and make it support more file interfaces (1330)
- Support uploading (loading) checkpoints to (from) different backends (1375)

Improvements

- Add CI for PyTorch 1.10 (1431)
- Add `case_sensitive` argument in `scandir` (1389)

Bug fixes

- Add DeviceGuard for `ms_deform_attn_forward` (1402)
- Fix config parsing error caused by non-ascii characters (1410)
- Fix error when building pdf documentaiton (1414)
- Update test data for `test_iou3d` (1427)

Docs

- Polish the documentation (1411)

Notes

Since PyTorch 1.10.0 has been released and **we have provided the pre-compiled packages for it**, we plan to end the support for PyTorch 1.3 and 1.4 in future releases. We will still provide pre-compiled packages of these two versions for three months, but the reliability and technical support are not guaranteed.

Contributors

A total of 11 developers contributed to this release.

jshilong , bobo0810 , ly015 , zhouzaida , Ezra-Yu , DCNSW, grimoire , luopeichao , ZwwWayne , nbei , mzr1996