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i-RIM applied to the fastMRI challenge data.

License: MIT License

Shell 0.48% Python 99.52%
deep-learning fastmri inverse-problems large-scale-learning mri

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irim_fastmri's Issues

About Running the Single Coil

Hello,

I have been always facing run_model.py: error: the following arguments are required: --data-path, --out-dir in this line.

python -m scripts.run_model --challenge singlecoil --batch-size 8 \ --data-path $test --checkpoint $chkpt/best_model.pt \ --out-dir $output --data-split test_v2 --mask-kspace

test = '/content/drive/My Drive/knee_singlecoil_test_v2/singlecoil_test_v2/'
output='/content/drive/I-RIM_Denemeler/Output/'
chkpt='/content/drive/My Drive/I-RIM/pretrained.z03/'

What is the problem? Could you give me some information about this error?

Thanks,

About the input resolution

Hello, thanks for releasing the source code. Can I ask a question?

I found from the script that the image you used to train the network is with the size of 368368 (--train_resolution 368 368), I really want to ask why since the references are with size 320320. Did you also try to train with 320*320? If so, how about the result?

Thanks a lot.

mask while testing

Hi,

Thanks for sharing your code here.

I have a question about the mask usage while testing. If I understand your code correctly, while testing, the input img is cropped to 320, but the mask is still original kspace shape, so there should be error for this x = mask * x in mse_gradient function. Did I miss something ?

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