# Done: This is total bullshit! I need to iterate over all paths and extract the region features individually!
# Store all feature images in here
disttransf_images = IPL(
yaml=yamlfile,
yamlspec={'path': 'intermedfolder', 'filename': 'locmaxborderfile', 'skeys': {'locmaxbordernames': (2, 3)}},
recursive_search=True
)
feature_images = IPL(
yaml=yamlfile,
yamlspec={'path': 'datafolder', 'filename': 'rawdatafile', 'skeys': 'rawdataname'},
recursive_search=True
)
ipl.logging('\nDisttransf images datastructure: \n---\n{}', disttransf_images.datastructure2string(maxdepth=4))
ipl.logging('\nFeature images datastructure: \n---\n{}', feature_images.datastructure2string(maxdepth=4))
feature_images.astype(np.float32)
# features = IPL()
features = features_of_paths_image_iteration(ipl, disttransf_images, feature_images)
features.write(filepath=params['intermedfolder'] + params['featurefile'])
ipl.logging('\nFinal datastructure:\n---\n{}', features.datastructure2string())
ipl.logging('')
ipl.stoplogger()
except ValueError:
ipl.errout('Unexpected error', traceback)
