Environment and Datasets

zzzqzhou / RAM-DSIR

[ECCV'22] Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration

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Environment and Datasets #5

Closed XLoveRye closed 1 year ago

XLoveRye commented 1 year ago

What's the environment of your implementation (including cuda and cudnn)? AND I don't know how to put the datasets into folder properly~ :-(

zzzqzhou commented 1 year ago

You can download Fundus and Prostate, then unzip and put images in ./dataset/fundus/ and ./dataset/prostate/ in this repo. There are no specific requirments for environment, you can run the code on the latest PyTorch version.

XLoveRye commented 1 year ago

You can download Fundus and Prostate, then unzip and put images in ./dataset/fundus/ and ./dataset/prostate/ in this repo. There are no specific requirments for environment, you can run the code on the latest PyTorch version.

Just unzip? I've tried this but meet errors such as "no such file or directory" when training on Fundus. Maybe I should check dataloader carefully? OK and I'll try again in another environment.