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Using swin transformer with arbitrary sizes #1979

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shengyi4 opened this issue Aug 28, 2022 · 2 comments
Closed

Using swin transformer with arbitrary sizes #1979

shengyi4 opened this issue Aug 28, 2022 · 2 comments
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@shengyi4
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Hi,

My customer dataset has arbitrary sizes from 500700-46083456(train and test). I used default upernet_swin_base_patch4_window7_512x512_160k_ade20k_pretrain_224x224_22K.py to train and test my data, but I only got 1.56 mIoU on it. I wonder if there is any set up I should config for my datasets?

Thanks!

@xiexinch
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Hi @shengyi4,
I think you could try to crop the picture yourself with roughly the same size or check to see if there is a problem with the training configuration.

@shengyi4 shengyi4 closed this as completed Sep 4, 2022
@shengyi4
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shengyi4 commented Oct 11, 2022 via email

aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this issue Mar 27, 2023
Fix convert sd 768 error (open-mmlab#1979)

Co-authored-by: tweeter0830 <tweeter0830@users.noreply.github.com>
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