File size: 1,617 Bytes
06f2b0d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | ## Restormer: Efficient Transformer for High-Resolution Image Restoration
## Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang
## https://arxiv.org/abs/2111.09881
## Download training and testing data for image deraining task
import os
# import gdown
import shutil
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--data', type=str, required=True, help='train, test or train-test')
args = parser.parse_args()
### Google drive IDs ######
rain13k_train = '14BidJeG4nSNuFNFDf99K-7eErCq4i47t' ## https://drive.google.com/file/d/14BidJeG4nSNuFNFDf99K-7eErCq4i47t/view?usp=sharing
rain13k_test = '1P_-RAvltEoEhfT-9GrWRdpEi6NSswTs8' ## https://drive.google.com/file/d/1P_-RAvltEoEhfT-9GrWRdpEi6NSswTs8/view?usp=sharing
for data in args.data.split('-'):
if data == 'train':
print('Rain13K Training Data!')
# gdown.download(id=rain13k_train, output='Datasets/train.zip', quiet=False)
os.system(f'gdrive download {rain13k_train} --path Datasets/')
print('Extracting Rain13K data...')
shutil.unpack_archive('Datasets/train.zip', 'Datasets')
os.remove('Datasets/train.zip')
if data == 'test':
print('Download Deraining Testing Data')
# gdown.download(id=rain13k_test, output='Datasets/test.zip', quiet=False)
os.system(f'gdrive download {rain13k_test} --path Datasets/')
print('Extracting test data...')
shutil.unpack_archive('Datasets/test.zip', 'Datasets')
os.remove('Datasets/test.zip')
# print('Download completed successfully!')
|