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The following three examples currently refer to hard-coded file names which do not seem to exist in the repository:
recon_ismrmrd_dataset.py: testdata.h5
recon_multi_reps.py: tpat3_noise.h5 tpat3_data.h5
parallel_imaging_demo.py: hansen_exercises2.mat
The generate_cartesian_shepp_logan_dataset.py example generates a testdata.h5 that works for recon_ismrmrd_dataset.py, but I was unable to find the data for the other two examples.
Maybe something like get_data.py from gadgetron could be set up to download these data if they are too large to store in the github repository itself? Or more simply, just give a link to the data location in a comment at the top of each of these examples.
The text was updated successfully, but these errors were encountered:
The following three examples currently refer to hard-coded file names which do not seem to exist in the repository:
recon_ismrmrd_dataset.py
:testdata.h5
recon_multi_reps.py
:tpat3_noise.h5
tpat3_data.h5
parallel_imaging_demo.py
:hansen_exercises2.mat
The
generate_cartesian_shepp_logan_dataset.py
example generates atestdata.h5
that works forrecon_ismrmrd_dataset.py
, but I was unable to find the data for the other two examples.Maybe something like get_data.py from
gadgetron
could be set up to download these data if they are too large to store in the github repository itself? Or more simply, just give a link to the data location in a comment at the top of each of these examples.The text was updated successfully, but these errors were encountered: