annotator/uniformer_base/mmseg/datasets/drive.py

'''
 * Copyright (c) 2023 Salesforce, Inc.
 * All rights reserved.
 * SPDX-License-Identifier: Apache License 2.0
 * For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
 * By Can Qin
 * Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
 * Copyright (c) 2023 Lvmin Zhang and Maneesh Agrawala
 * Modified from MMCV repo: From https://github.com/open-mmlab/mmcv
 * Copyright (c) OpenMMLab. All rights reserved.
'''

import os.path as osp

from .builder import DATASETS
from .custom import CustomDataset


@DATASETS.register_module()
class DRIVEDataset(CustomDataset):
    """DRIVE dataset.

    In segmentation map annotation for DRIVE, 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
    '_manual1.png'.
    """

    CLASSES = ('background', 'vessel')

    PALETTE = [[120, 120, 120], [6, 230, 230]]

    def __init__(self, **kwargs):
        super(DRIVEDataset, self).__init__(
            img_suffix='.png',
            seg_map_suffix='_manual1.png',
            reduce_zero_label=False,
            **kwargs)
        assert osp.exists(self.img_dir)