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47 lines
1.5 KiB
47 lines
1.5 KiB
# 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 .builder import DATASETS |
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from .base_dataset import BaseDataset |
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@DATASETS.register() |
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class PairedDataset(BaseDataset): |
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"""A dataset class for paired image dataset. |
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""" |
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def __init__(self, dataroot, preprocess): |
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"""Initialize this 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(PairedDataset, 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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"""Load paired image paths. |
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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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pair_paths = sorted(self.scan_folder(self.dataroot)) |
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for pair_path in pair_paths: |
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data_infos.append(dict(pair_path=pair_path)) |
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return data_infos
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