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46 lines
1.5 KiB
46 lines
1.5 KiB
3 years ago
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from .base_dataset import BaseDataset
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from .builder import DATASETS
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@DATASETS.register()
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class SingleDataset(BaseDataset):
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"""
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"""
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def __init__(self, dataroot, preprocess):
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"""Initialize single dataset class.
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Args:
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dataroot (str): Directory of dataset.
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preprocess (list[dict]): A sequence of data preprocess config.
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"""
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super(SingleDataset, self).__init__(preprocess)
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self.dataroot = dataroot
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self.data_infos = self.prepare_data_infos()
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def prepare_data_infos(self):
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"""prepare image paths from a folder.
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Returns:
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list[dict]: List that contains paired image paths.
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"""
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data_infos = []
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paths = sorted(self.scan_folder(self.dataroot))
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for path in paths:
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data_infos.append(dict(A_path=path))
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return data_infos
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