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# ---------------------------------------------------------------------------------------------------
# CLIP-DINOiser
# authors: Monika Wysoczanska, Warsaw University of Technology
# ----------------------------------------------------------------------------------------------------
# Modified from TCL
# Copyright (c) 2023 Kakao Brain. All Rights Reserved.
# ------------------------------------------------------------------------------
import os.path as osp
from mmseg.datasets import DATASETS
from mmseg.datasets import CustomDataset
@DATASETS.register_module()
class PascalVOCDataset20(CustomDataset):
"""Pascal VOC dataset (the background class is ignored).
Args:
split (str): Split txt file for Pascal VOC.
"""
CLASSES = ('aeroplane', 'bicycle', 'bird', 'boat', 'bottle',
'bus', 'car', 'cat', 'chair', 'cow', 'dining table', 'dog',
'horse', 'motorbike', 'person', 'potted plant', 'sheep', 'sofa',
'train', 'tvmonitor')
PALETTE = [[128, 0, 0], [0, 128, 0], [128, 128, 0], [0, 0, 128],
[128, 0, 128], [0, 128, 128], [128, 128, 128], [64, 0, 0],
[192, 0, 0], [64, 128, 0], [192, 128, 0], [64, 0, 128],
[192, 0, 128], [64, 128, 128], [192, 128, 128], [0, 64, 0],
[128, 64, 0], [0, 192, 0], [128, 192, 0], [0, 64, 128]]
def __init__(self, split, **kwargs):
super(PascalVOCDataset20, self).__init__(
img_suffix='.jpg',
seg_map_suffix='.png',
split=split,
reduce_zero_label=True,
**kwargs)
assert osp.exists(self.img_dir) and self.split is not None
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