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View Code? Open in Web Editor NEWA pytorch implementation for variational network for MRI reconstruction
License: MIT License
A pytorch implementation for variational network for MRI reconstruction
License: MIT License
I have downloaded the data from GLOBUS as mentioned in README. This consists of all .h5 files. Currently, I am working on Single Coil Knee dataset. There seems to be a missing link between what the code expects as input and the data downloaded from GLOBUS.
----------------- Options ---------------
activation: rbf
batch_size: 1
epoch: 100
error_scale: 1.0
features_out: 24
gpus: 0
loss_type: complex
loss_weight: 1.0
lr: 0.0001
mode: train
momentum: 0.0
name: coronal_pd_fs
num_act_weights: 31
num_stages: 10
optimizer: adam
root_dir: data/knee
sampling_pattern: cartesian_with_os
save_dir: exp/basic_varnet
----------------- End -------------------
Traceback (most recent call last):
File "run_varnet.py", line 46, in
dataset = KneeDataset(**args)
File "/home/m/Documents/mri_variationalnetwork/pytorch_mri_variationalnetwork-master/data_utils.py", line 64, in _ _ init _ _
self.mask = loadmat(str(self.mask_dir[0]))
IndexError: list index out of range
Any suggestions on how to proceed?
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