29 lines
1.1 KiB
Python
29 lines
1.1 KiB
Python
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# Copyright (c) OpenMMLab. All rights reserved.
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from mmseg.registry import DATASETS
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from .basesegdataset import BaseSegDataset
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@DATASETS.register_module()
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class SynapseDataset(BaseSegDataset):
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"""Synapse dataset.
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Before dataset preprocess of Synapse, there are total 13 categories of
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foreground which does not include background. After preprocessing, 8
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foreground categories are kept while the other 5 foreground categories are
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handled as background. The ``img_suffix`` is fixed to '.jpg' and
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``seg_map_suffix`` is fixed to '.png'.
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"""
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METAINFO = dict(
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classes=('background', 'aorta', 'gallbladder', 'left_kidney',
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'right_kidney', 'liver', 'pancreas', 'spleen', 'stomach'),
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palette=[[0, 0, 0], [0, 0, 255], [0, 255, 0], [255, 0, 0],
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[0, 255, 255], [255, 0, 255], [255, 255, 0], [60, 255, 255],
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[240, 240, 240]])
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def __init__(self,
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img_suffix='.jpg',
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seg_map_suffix='.png',
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**kwargs) -> None:
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super().__init__(
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img_suffix=img_suffix, seg_map_suffix=seg_map_suffix, **kwargs)
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