Highlights

• Support ConvNeXt: A ConvNet for the 2020s. Please use the latest MMClassification (0.21.0) to try it out.
• Support iSAID aerial Dataset.
• Officially Support inference on Windows OS.

New Features

• Support ConvNeXt: A ConvNet for the 2020s. (#1216)
• Support iSAID aerial Dataset. (#1115
• Generating and plotting confusion matrix. (#1301)

Improvements

• Refactor 4 decoder heads (ASPP, FCN, PSP, UPer): Split forward function into _forward_feature and cls_seg. (#1299)
• Add min_size arg in Resize to keep the shape after resize bigger than slide window. (#1318)
• Revise pre-commit-hooks. (#1315)
• Add win-ci. (#1296)

Bug Fixes

• Fix mlp_ratio type in Swin Transformer. (#1274)
• Fix path errors in ./demo . (#1269)
• Fix bug in conversion of potsdam. (#1279)
• Make accuracy take into account ignore_index. (#1259)
• Add Pytorch HardSwish assertion in unit test. (#1294)
• Fix wrong palette value in vaihingen. (#1292)
• Fix the bug that SETR cannot load pretrain. (#1293)
• Update correct In Collection in metafile of each configs. (#1239)
• Upload completed STDC models. (#1332)
• Fix DNLHead exports onnx inference difference type Cast error. (#1161)

Contributors

• @JiaYanhao made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1269
• @andife made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1281
• @SBCV made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1279
• @HJoonKwon made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1259
• @Tsingularity made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1290
• @Waterman0524 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1115
• @MeowZheng made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1315
• @linfangjian01 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1318