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License: MIT License
This is the official repo of SenFormer [BMVC'22]
License: MIT License
hi, Im student in taiwan
Does the model not support for "coco-stuff" yet ?
the file : SenFormer\mmseg\core\evaluation\classesnames
which only have three different types of dataset,
dataset_aliases = {
'cityscapes': ['cityscapes'],
'ade': ['ade', 'ade20k'],
'voc': ['voc', 'pascal_voc', 'voc12', 'voc12aug']
}
...?
Why do you use "torch.log" here?
Hi, currently there's no license to the repo.
May you please add a license to it or at least specify in the README? :)
Hi! @WalBouss
I use 'swin_small_patch4_window7_224.pth' pretrained model to train my data.
It can run ,but I got acc = 0 and loss = 0, like this picture.
I want to ask how to train custom data.
where I should modify?
thank you!
Hello @WalBouss thanks for your great work.
but could you really edit the dependencies part in the README concerning the pytorch and mmcv-full versions, since it took me a while to adjust the dependencies specifically on windows.
conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=10.2 -c pytorch
pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.7.0/index.html
Hi, I notice that the performances of pre-trained weights you provided are lower than the paper. The results in the latest paper are obviously better. Do you have the plan to release the matched pre-trained weights?
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