# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import copy from pathlib import Path from .base_dataset import BaseDataset from .builder import DATASETS @DATASETS.register() class SRDataset(BaseDataset): """Base super resulotion dataset for image restoration.""" def __init__(self, lq_folder, gt_folder, preprocess, scale, filename_tmpl='{}'): super(SRDataset, self).__init__(preprocess) self.lq_folder = lq_folder self.gt_folder = gt_folder self.scale = scale self.filename_tmpl = filename_tmpl self.prepare_data_infos() def prepare_data_infos(self): """Load annoations for SR dataset. It loads the LQ and GT image path from folders. Returns: dict: Returned dict for LQ and GT pairs. """ self.data_infos = [] lq_paths = self.scan_folder(self.lq_folder) gt_paths = self.scan_folder(self.gt_folder) assert len(lq_paths) == len(gt_paths), ( f'gt and lq datasets have different number of images: ' f'{len(lq_paths)}, {len(gt_paths)}.') for gt_path in gt_paths: basename, ext = os.path.splitext(os.path.basename(gt_path)) lq_path = os.path.join(self.lq_folder, (f'{self.filename_tmpl.format(basename)}' f'{ext}')) assert lq_path in lq_paths, f'{lq_path} is not in lq_paths.' self.data_infos.append(dict(lq_path=lq_path, gt_path=gt_path)) return self.data_infos