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75 lines
2.4 KiB
75 lines
2.4 KiB
# Copyright (c) 2021 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 cv2 |
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import glob |
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import random |
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import logging |
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import numpy as np |
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from paddle.io import Dataset |
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from .base_sr_dataset import BaseDataset |
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from .builder import DATASETS |
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logger = logging.getLogger(__name__) |
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@DATASETS.register() |
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class VSRFolderDataset(BaseDataset): |
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"""Video super-resolution for folder format. |
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Args: |
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lq_folder (str): Path to a low quality image folder. |
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gt_folder (str): Path to a ground truth image folder. |
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ann_file (str): Path to the annotation file. |
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preprocess (list[dict|callable]): A list functions of data transformations. |
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num_frames (int): Number of frames of each input clip. |
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times (int): Repeat times of datset length. |
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""" |
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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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num_frames=None, |
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times=1): |
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super().__init__(preprocess) |
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self.lq_folder = str(lq_folder) |
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self.gt_folder = str(gt_folder) |
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self.num_frames = num_frames |
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self.times = times |
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self.data_infos = self.prepare_data_infos() |
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def prepare_data_infos(self): |
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sequences = sorted(glob.glob(os.path.join(self.lq_folder, '*'))) |
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data_infos = [] |
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for sequence in sequences: |
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sequence_length = len(glob.glob(os.path.join(sequence, '*.png'))) |
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if self.num_frames is None: |
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num_frames = sequence_length |
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else: |
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num_frames = self.num_frames |
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data_infos.append( |
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dict( |
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lq_path=self.lq_folder, |
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gt_path=self.gt_folder, |
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key=sequence.replace(f'{self.lq_folder}/', ''), |
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num_frames=num_frames, |
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sequence_length=sequence_length)) |
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return data_infos
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