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高慧茹 authored02fa864d
data_split.py 2.09 KiB
# Copyright 2022 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================
"""data_split"""
import os
import shutil
image_original_path = '../images/'
label_original_path = '../annotations/'
train_image_path = '../dataset/train/images/'
train_label_path = '../dataset/train/annotations/'
val_image_path = '../dataset/val/images/'
val_label_path = '../dataset/val/annotations/'
def mkdir():
if not os.path.exists(train_image_path):
os.makedirs(train_image_path)
if not os.path.exists(train_label_path):
os.makedirs(train_label_path)
if not os.path.exists(val_image_path):
os.makedirs(val_image_path)
if not os.path.exists(val_label_path):
os.makedirs(val_label_path)
def main():
mkdir()
with open("./data/facemask/train.txt", 'r') as f:
for line in f:
dst_train_image = train_image_path + line[:-1] + '.jpg'
dst_train_label = train_label_path + line[:-1] + '.xml'
shutil.copyfile(image_original_path + line[:-1] + '.png', dst_train_image)
shutil.copyfile(label_original_path + line[:-1] + '.xml', dst_train_label)
with open("./data/facemask/val.txt", 'r') as f:
for line in f:
dst_val_image = val_image_path + line[:-1] + '.jpg'
dst_val_label = val_label_path + line[:-1] + '.xml'
shutil.copyfile(image_original_path + line[:-1] + '.png', dst_val_image)
shutil.copyfile(label_original_path + line[:-1] + ".xml", dst_val_label)
if __name__ == '__main__':
main()