Highlights

• Officially Support CPUs training and inference, please use the latest MMCV (1.4.4) to try it out.
• Support Segmenter: Transformer for Semantic Segmentation (ICCV'2021).
• Support ISPRS Potsdam and Vaihingen Dataset.
• Add Mosaic transform and MultiImageMixDataset class in dataset_wrappers.

New Features

• Support Segmenter: Transformer for Semantic Segmentation (ICCV'2021) (#955)
• Support ISPRS Potsdam and Vaihingen Dataset (#1097, #1171)
• Add segformer‘s benchmark on cityscapes (#1155)
• Add auto resume (#1172)
• Add Mosaic transform and MultiImageMixDataset class in dataset_wrappers (#1093, #1105)
• Add log collector (#1175)

Improvements

• New-style CPU training and inference (#1251)
• Add UNet benchmark with multiple losses supervision (#1143)

Bug Fixes

• Fix the model statistics in doc for readthedoc (#1153)
• Set random seed for palette if not given (#1152)
• Add COCOStuffDataset in class_names.py (#1222)
• Fix bug in non-distributed multi-gpu training/testing (#1247)
• Delete unnecessary lines of STDCHead (#1231)

New Contributors

• @jbwang1997 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1152
• @BeaverCC made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1206
• @Echo-minn made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1214
• @rstrudel made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/955