Segmenter-based-on-OpenMMLab

"Segmenter: Transformer for Semantic Segmentation, arxiv 2105.05633." reproduced via mmsegmentation.

We reproduce Segmenter via mmsegmentation based on official open-sourced code.

Environment

• python=3.7

• pytorch=1.7.1

• torchvision=0.8.2

• cudatoolkit=10.1

• mmcv-full=1.3.10

• mmsegmentation=0.16.0

Note: You should install pytorch with a version higher than 1.7, because the pretrained model of DeiT is saved via 1.7+ pytorch. Otherwise you may encounter some errors while loading the state_dict.

Results on ADE20K

The passwds of download links are all 'nopw'.