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