What's new

Highlights

• Support MaskFormer (#2215)
• Support Mask2Former (#2255)

Features

• Add ResizeShortestEdge transform (#2339)
• Support padding in data pre-processor for model testing(#2290)
• Fix the problem of post-processing not removing padding (#2367)

Bug fix

• Fix links in README (#2024)
• Fix swin load state_dict (#2304)
• Fix typo of BaseSegDataset docstring (#2322)
• Fix the bug in the visualization step (#2326)
• Fix ignore class id from -1 to 255 in BaseSegDataset (#2332)
• Fix KNet IterativeDecodeHead bug (#2334)
• Add input argument for datasets (#2379)
• Fix typo in warning on binary classification (#2382)

Enhancement

• Fix ci for 1.x (#2011, #2019)
• Fix lint and pre-commit hook (#2308)
• Add data string in .gitignore file in dev-1.x branch (#2336)
• Make scipy as a default dependency in runtime (#2362)
• Delete mmcls in runtime.txt (#2368)

Documentation

• Update configuration documentation (#2048)
• Update inference documentation (#2052)
• Update the documentation for model training and testing (#2061)
• Update get started documentation (#2148)
• Update transforms documentation (#2088)
• Add MMEval projects like in README (#2259)
• Translate the visualization documentation (#2298)

New Contributors

• @nijkah made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2024
• @matrixgame2018 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2148
• @kitecats made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2259
• @nulam made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2382