31 lines
1.2 KiB
Python
31 lines
1.2 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from mmseg.datasets.basesegdataset import BaseSegDataset
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from mmseg.registry import DATASETS
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@DATASETS.register_module()
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class BDD100KDataset(BaseSegDataset):
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METAINFO = dict(
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classes=('road', 'sidewalk', 'building', 'wall', 'fence', 'pole',
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'traffic light', 'traffic sign', 'vegetation', 'terrain',
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'sky', 'person', 'rider', 'car', 'truck', 'bus', 'train',
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'motorcycle', 'bicycle'),
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palette=[[128, 64, 128], [244, 35, 232], [70, 70, 70], [102, 102, 156],
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[190, 153, 153], [153, 153, 153], [250, 170,
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30], [220, 220, 0],
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[107, 142, 35], [152, 251, 152], [70, 130, 180],
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[220, 20, 60], [255, 0, 0], [0, 0, 142], [0, 0, 70],
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[0, 60, 100], [0, 80, 100], [0, 0, 230], [119, 11, 32]])
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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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reduce_zero_label=False,
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**kwargs) -> None:
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super().__init__(
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img_suffix=img_suffix,
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seg_map_suffix=seg_map_suffix,
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reduce_zero_label=reduce_zero_label,
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**kwargs)
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