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prepare_svcd.py
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#!/usr/bin/env python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
#
# 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.path as osp
from common import (get_default_parser, get_path_tuples, create_file_list,
link_dataset)
SUBSETS = ('train', 'val', 'test')
SUBDIRS = ('A', 'B', 'OUT')
FILE_LIST_PATTERN = "{subset}.txt"
URL = ""
if __name__ == '__main__':
parser = get_default_parser()
args = parser.parse_args()
out_dir = osp.join(args.out_dataset_dir,
osp.basename(osp.normpath(args.in_dataset_dir)))
link_dataset(args.in_dataset_dir, args.out_dataset_dir)
for subset in SUBSETS:
# NOTE: Only use cropped real samples.
path_tuples = get_path_tuples(
*(osp.join(out_dir, 'Real', 'subset', subset, subdir)
for subdir in SUBDIRS),
data_dir=args.out_dataset_dir)
file_list = osp.join(
args.out_dataset_dir, FILE_LIST_PATTERN.format(subset=subset))
create_file_list(file_list, path_tuples)
print(f"Write file list to {file_list}.")