exampledata Package¶

`create_example_data` Module¶

WORC.exampledata.create_example_data.create_random_features(n_objects=7, n_features=10)[source]¶: Create n_objects sets of random features and save in files. Format based on PREDICT python package.

WORC.exampledata.create_example_data.create_random_imageandmask(size=512, slices=20)[source]¶

`datadownloader` Module¶

WORC.exampledata.datadownloader.download_HeadAndNeck(datafolder=None, nsubjects=10)[source]¶

WORC.exampledata.datadownloader.download_project(project_name, xnat_url, datafolder, nsubjects=10, verbose=True)[source]¶

WORC.exampledata.datadownloader.download_subject(project, subject, datafolder, session, verbose=False)[source]¶