Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
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import os.path as osp
from .builder import DATASETS
from .custom import CustomDataset
@DATASETS.register_module()
class HRFDataset(CustomDataset):
"""HRF dataset.
In segmentation map annotation for HRF, 0 stands for background, which is
included in 2 categories. ``reduce_zero_label`` is fixed to False. The
``img_suffix`` is fixed to '.png' and ``seg_map_suffix`` is fixed to
'.png'.
"""
CLASSES = ('background', 'vessel')
PALETTE = [[120, 120, 120], [6, 230, 230]]
def __init__(self, **kwargs):
super(HRFDataset, self).__init__(
img_suffix='.png',
seg_map_suffix='.png',
reduce_zero_label=False,
**kwargs)
assert osp.exists(self.img_dir)