Helper Module for Deep Learning.
Module that provides functions to prepare registration dataset.
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class
pynet.datasets.registration.Item(input_path, output_path, metadata_path, labels)
-
property
input_path
Alias for field number 0
-
property
labels
Alias for field number 3
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property
metadata_path
Alias for field number 2
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property
output_path
Alias for field number 1
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pynet.datasets.registration.crop(arr, bound_l, bound_r, target_shape, order=1)[source]
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pynet.datasets.registration.crop_mask(volume, segmentation, target_shape=(128, 128, 128))[source]
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pynet.datasets.registration.download_file_from_google_drive(destination)[source]
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pynet.datasets.registration.fetch_registration(datasetdir)[source]
Fetch/prepare the registration dataset for pynet.
- Parameters
datasetdir: str
the dataset destination folder.
- Returns
item: namedtuple
a named tuple containing ‘input_path’, ‘output_path’, and
‘metadata_path’.
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pynet.datasets.registration.get_confirm_token(response)[source]
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pynet.datasets.registration.save_response_content(response, destination)[source]
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pynet.datasets.registration.wl_normalization(img, w=290, l=120)[source]