DeepLearningExamples/TensorFlow/Segmentation/VNet/download_dataset.py
Przemek Strzelczyk b4aef9945b Adding VNet/TF
2019-12-02 15:57:25 +01:00

62 lines
1.9 KiB
Python

# Copyright (c) 2019, NVIDIA CORPORATION. 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 argparse
import os
import tarfile
from google_drive_downloader import GoogleDriveDownloader as gdd
PARSER = argparse.ArgumentParser(description="V-Net medical")
PARSER.add_argument('--data_dir',
type=str,
default='./data',
help="""Directory where to download the dataset""")
PARSER.add_argument('--dataset',
type=str,
default='hippocampus',
help="""Dataset to download""")
def main():
FLAGS = PARSER.parse_args()
if not os.path.exists(FLAGS.data_dir):
os.makedirs(FLAGS.data_dir)
filename = ''
if FLAGS.dataset == 'hippocampus':
filename = 'Task04_Hippocampus.tar'
gdd.download_file_from_google_drive(file_id='1RzPB1_bqzQhlWvU-YGvZzhx2omcDh38C',
dest_path=os.path.join(FLAGS.data_dir, filename),
unzip=False)
print('Unpacking...')
tf = tarfile.open(os.path.join(FLAGS.data_dir, filename))
tf.extractall(path=FLAGS.data_dir)
print('Cleaning up...')
os.remove(os.path.join(FLAGS.data_dir, filename))
print("Finished downloading files for V-Net medical to {}".format(FLAGS.data_dir))
if __name__ == '__main__':
main()