MMSegmentation v0.18.0 Release
Highlights
- Support three real-time segmentation models (ICNet #884, BiSeNetV1 #851, and BiSeNetV2 #804)
- Support one efficient segmentation model (FastFCN #885)
- Support one efficient non-local/self-attention based segmentation model (ISANet #70)
- Support COCO-Stuff 10k and 164k datasets (#625)
- Support evaluate concated dataset separately (#833)
- Support loading GT for evaluation from multi-file backend (#867)
New Features
- Support three real-time segmentation models (ICNet #884, BiSeNetV1 #851, and BiSeNetV2 #804)
- Support one efficient segmentation model (FastFCN #885)
- Support one efficient non-local/self-attention based segmentation model (ISANet #70)
- Support COCO-Stuff 10k and 164k datasets (#625)
- Support evaluate concated dataset separately (#833)
Improvements
- Support loading GT for evaluation from multi-file backend (#867)
- Auto-convert SyncBN to BN when training on DP automatly(#772)
- Refactor Swin-Transformer (#800)
Bug Fixes