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