| | import datasets |
| |
|
| | logger = datasets.logging.get_logger(__name__) |
| |
|
| | _HOMEPAGE = 'https://brain-development.org/ixi-dataset/' |
| |
|
| | _DESCRIPTION = ( |
| | "This dataset contains around 28000 2D slices extracted from 600 MRI images of healthy subjects." |
| | " Each MRI volume was skull-stripped, white matter normalized and registered to the 'fsaverage' template using affine transformation. " |
| | ) |
| |
|
| | _URLS = { |
| | 'train': 'data/train.zip', |
| | 'valid': 'data/valid.zip' |
| | } |
| |
|
| | _LICENSE = """\ |
| | LICENSE AGREEMENT |
| | ================= |
| | - The IXI-2D dataset consists of images from IXI Dataset [1] which are |
| | property of the Biomedical Image Analysis Group, Imperial College London. Any use beyond |
| | scientific fair use must be negotiated with the respective picture owners |
| | according to the Creative Commons license [2]. |
| | [1] https://brain-development.org/ixi-dataset/ |
| | [2] https://creativecommons.org/licenses/by-sa/3.0/legalcode |
| | """ |
| |
|
| |
|
| | class IXI2D(datasets.GeneratorBasedBuilder): |
| | """Food-101 Images dataset""" |
| |
|
| | def _info(self): |
| | return datasets.DatasetInfo( |
| | features=datasets.Features( |
| | { |
| | "image": datasets.Image(), |
| | } |
| | ), |
| | homepage=_HOMEPAGE, |
| | description=_DESCRIPTION, |
| | license=_LICENSE |
| | ) |
| |
|
| | def _split_generators(self, dl_manager): |
| | archive_path = dl_manager.download(_URLS) |
| | return [ |
| | datasets.SplitGenerator( |
| | name=datasets.Split.TRAIN, |
| | gen_kwargs={ |
| | "images": dl_manager.iter_archive(archive_path['train']), |
| | }, |
| | ), |
| | datasets.SplitGenerator( |
| | name=datasets.Split.VALIDATION, |
| | gen_kwargs={ |
| | "images": dl_manager.iter_archive(archive_path['valid']), |
| | }, |
| | ), |
| | ] |
| |
|
| | def _generate_examples(self, images): |
| | for file_path, file_obj in images: |
| | yield file_path, { |
| | "image": {"path": file_path, "bytes": file_obj.read()}, |
| | } |
| |
|
