zaccharieramzi / tf-fastmri-data Goto Github PK

This should basically be a copy-paste of what has been done lately in the fastmri-reproducible-benchmark, here, with the appropriate adjust size function.

This should be a copy-paste of what has been done recently in fastmri-reproducible-benchmark here.

• function documentation
• Readme
• full example(s)

Right now we only have the possibility to implement the real equidistant mask scheme for retrospective undersampling.

However, due to a slight coding mistake, the so-called equidistant scheme for undersampling in the fastMRI dataset is not really equidistant.

We should implement this mask by simply copy-pasting what was done here, and maybe refactoring a bit.

Make this into a pip installable package

This can surely be done with a combination of git hooks and bumpversion.

I should try to look for some examples.

In particular, a screenshot of tf profiling with a simple U-net could be nice.

In above code, I feel its best to just not hardcode and rather just crop the data by later pipelines and not initially itself as this makes the data shapes as None, None etc. Also, using adjust_image_size is surely a better alternative (however, I dont want to crop here at all)