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62 lines
2.2 KiB
62 lines
2.2 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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import os |
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import copy |
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from pathlib import Path |
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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 SRDataset(BaseDataset): |
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"""Base super resulotion dataset for image restoration.""" |
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def __init__(self, |
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lq_folder, |
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gt_folder, |
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preprocess, |
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scale, |
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filename_tmpl='{}'): |
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super(SRDataset, self).__init__(preprocess) |
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self.lq_folder = lq_folder |
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self.gt_folder = gt_folder |
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self.scale = scale |
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self.filename_tmpl = filename_tmpl |
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self.prepare_data_infos() |
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def prepare_data_infos(self): |
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"""Load annoations for SR dataset. |
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It loads the LQ and GT image path from folders. |
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Returns: |
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dict: Returned dict for LQ and GT pairs. |
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""" |
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self.data_infos = [] |
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lq_paths = self.scan_folder(self.lq_folder) |
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gt_paths = self.scan_folder(self.gt_folder) |
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assert len(lq_paths) == len(gt_paths), ( |
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f'gt and lq datasets have different number of images: ' |
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f'{len(lq_paths)}, {len(gt_paths)}.') |
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for gt_path in gt_paths: |
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basename, ext = os.path.splitext(os.path.basename(gt_path)) |
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lq_path = os.path.join(self.lq_folder, |
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(f'{self.filename_tmpl.format(basename)}' |
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f'{ext}')) |
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assert lq_path in lq_paths, f'{lq_path} is not in lq_paths.' |
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self.data_infos.append(dict(lq_path=lq_path, gt_path=gt_path)) |
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return self.data_infos
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