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https://github.com/open-mmlab/mmsegmentation.git
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124b87ce90
## Motivation Use the new fileio from mmengine https://github.com/open-mmlab/mmengine/pull/533 ## Modification 1. Use `mmengine.fileio` to repalce FileClient in mmseg/datasets 2. Use `mmengine.fileio` to repalce FileClient in mmseg/datasets/transforms 3. Use `mmengine.fileio` to repalce FileClient in mmseg/visualization ## BC-breaking (Optional) we modify all the dataset configurations, so please use the latest config file.
41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import os.path as osp
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import mmengine.fileio as fileio
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from mmseg.registry import DATASETS
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from .basesegdataset import BaseSegDataset
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@DATASETS.register_module()
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class PascalVOCDataset(BaseSegDataset):
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"""Pascal VOC dataset.
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Args:
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split (str): Split txt file for Pascal VOC.
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"""
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METAINFO = dict(
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classes=('background', 'aeroplane', 'bicycle', 'bird', 'boat',
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'bottle', 'bus', 'car', 'cat', 'chair', 'cow', 'diningtable',
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'dog', 'horse', 'motorbike', 'person', 'pottedplant', 'sheep',
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'sofa', 'train', 'tvmonitor'),
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palette=[[0, 0, 0], [128, 0, 0], [0, 128, 0], [128, 128, 0],
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[0, 0, 128], [128, 0, 128], [0, 128, 128], [128, 128, 128],
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[64, 0, 0], [192, 0, 0], [64, 128, 0], [192, 128, 0],
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[64, 0, 128], [192, 0, 128], [64, 128, 128], [192, 128, 128],
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[0, 64, 0], [128, 64, 0], [0, 192, 0], [128, 192, 0],
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[0, 64, 128]])
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def __init__(self,
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ann_file,
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img_suffix='.jpg',
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seg_map_suffix='.png',
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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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ann_file=ann_file,
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**kwargs)
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assert fileio.exists(self.data_prefix['img_path'],
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self.backend_args) and osp.isfile(self.ann_file)
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