MMCV Release V1.4.1

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

# 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. 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