44 lines
1.3 KiB
Python
44 lines
1.3 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 LIPDataset(BaseSegDataset):
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"""LIP dataset.
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The ``img_suffix`` is fixed to '.jpg' and ``seg_map_suffix`` is fixed to
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'.png'.
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"""
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METAINFO = dict(
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classes=('Background', 'Hat', 'Hair', 'Glove', 'Sunglasses',
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'UpperClothes', 'Dress', 'Coat', 'Socks', 'Pants',
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'Jumpsuits', 'Scarf', 'Skirt', 'Face', 'Left-arm',
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'Right-arm', 'Left-leg', 'Right-leg', 'Left-shoe',
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'Right-shoe'),
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palette=(
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[0, 0, 0],
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[128, 0, 0],
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[255, 0, 0],
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[0, 85, 0],
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[170, 0, 51],
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[255, 85, 0],
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[0, 0, 85],
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[0, 119, 221],
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[85, 85, 0],
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[0, 85, 85],
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[85, 51, 0],
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[52, 86, 128],
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[0, 128, 0],
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[0, 0, 255],
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[51, 170, 221],
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[0, 255, 255],
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[85, 255, 170],
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[170, 255, 85],
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[255, 255, 0],
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[255, 170, 0],
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))
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def __init__(self, **kwargs) -> None:
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super().__init__(img_suffix='.jpg', seg_map_suffix='.png', **kwargs)
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