import argparse
import os
from os import path as osp
from basicsr.utils.download_util import download_file_from_google_drive
[docs]def download_pretrained_models(method, file_ids):
save_path_root = f'./experiments/pretrained_models/{method}'
os.makedirs(save_path_root, exist_ok=True)
for file_name, file_id in file_ids.items():
save_path = osp.abspath(osp.join(save_path_root, file_name))
if osp.exists(save_path):
user_response = input(f'{file_name} already exist. Do you want to cover it? Y/N\n')
if user_response.lower() == 'y':
print(f'Covering {file_name} to {save_path}')
download_file_from_google_drive(file_id, save_path)
elif user_response.lower() == 'n':
print(f'Skipping {file_name}')
else:
raise ValueError('Wrong input. Only accepts Y/N.')
else:
print(f'Downloading {file_name} to {save_path}')
download_file_from_google_drive(file_id, save_path)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument(
'method',
type=str,
help=("Options: 'ESRGAN', 'EDVR', 'StyleGAN', 'EDSR', 'DUF', 'DFDNet', 'dlib', 'TOF', 'flownet', 'BasicVSR'. "
"Set to 'all' to download all the models."))
args = parser.parse_args()
file_ids = {
'ESRGAN': {
'ESRGAN_SRx4_DF2KOST_official-ff704c30.pth': # file name
'1b3_bWZTjNO3iL2js1yWkJfjZykcQgvzT', # file id
'ESRGAN_PSNR_SRx4_DF2K_official-150ff491.pth': '1swaV5iBMFfg-DL6ZyiARztbhutDCWXMM'
},
'EDVR': {
'EDVR_L_x4_SR_REDS_official-9f5f5039.pth': '127KXEjlCwfoPC1aXyDkluNwr9elwyHNb',
'EDVR_L_x4_SR_Vimeo90K_official-162b54e4.pth': '1aVR3lkX6ItCphNLcT7F5bbbC484h4Qqy',
'EDVR_M_woTSA_x4_SR_REDS_official-1edf645c.pth': '1C_WdN-NyNj-P7SOB5xIVuHl4EBOwd-Ny',
'EDVR_M_x4_SR_REDS_official-32075921.pth': '1dd6aFj-5w2v08VJTq5mS9OFsD-wALYD6',
'EDVR_L_x4_SRblur_REDS_official-983d7b8e.pth': '1GZz_87ybR8eAAY3X2HWwI3L6ny7-5Yvl',
'EDVR_L_deblur_REDS_official-ca46bd8c.pth': '1_ma2tgHscZtkIY2tEJkVdU-UP8bnqBRE',
'EDVR_L_deblurcomp_REDS_official-0e988e5c.pth': '1fEoSeLFnHSBbIs95Au2W197p8e4ws4DW'
},
'StyleGAN': {
'stylegan2_ffhq_config_f_1024_official-3ab41b38.pth': '1qtdsT1FrvKQsFiW3OqOcIb-VS55TVy1g',
'stylegan2_ffhq_config_f_1024_discriminator_official-a386354a.pth': '1nPqCxm8TkDU3IvXdHCzPUxlBwR5Pd78G',
'stylegan2_cat_config_f_256_official-0a9173ad.pth': '1gfJkX6XO5pJ2J8LyMdvUgGldz7xwWpBJ',
'stylegan2_cat_config_f_256_discriminator_official-2c97fd08.pth': '1hy5FEQQl28XvfqpiWvSBd8YnIzsyDRb7',
'stylegan2_church_config_f_256_official-44ba63bf.pth': '1FCQMZXeOKZyl-xYKbl1Y_x2--rFl-1N_',
'stylegan2_church_config_f_256_discriminator_official-20cd675b.pth': # noqa: E501
'1BS9ODHkUkhfTGFVfR6alCMGtr9nGm9ox',
'stylegan2_car_config_f_512_official-e8fcab4f.pth': '14jS-nWNTguDSd1kTIX-tBHp2WdvK7hva',
'stylegan2_car_config_f_512_discriminator_official-5008e3d1.pth': '1UxkAzZ0zvw4KzBVOUpShCivsdXBS8Zi2',
'stylegan2_horse_config_f_256_official-26d57fee.pth': '12QsZ-mrO8_4gC0UrO15Jb3ykcQ88HxFx',
'stylegan2_horse_config_f_256_discriminator_official-be6c4c33.pth': '1me4ybSib72xA9ZxmzKsHDtP-eNCKw_X4'
},
'EDSR': {
'EDSR_Mx2_f64b16_DIV2K_official-3ba7b086.pth': '1mREMGVDymId3NzIc2u90sl_X4-pb4ZcV',
'EDSR_Mx3_f64b16_DIV2K_official-6908f88a.pth': '1EriqQqlIiRyPbrYGBbwr_FZzvb3iwqz5',
'EDSR_Mx4_f64b16_DIV2K_official-0c287733.pth': '1bCK6cFYU01uJudLgUUe-jgx-tZ3ikOWn',
'EDSR_Lx2_f256b32_DIV2K_official-be38e77d.pth': '15257lZCRZ0V6F9LzTyZFYbbPrqNjKyMU',
'EDSR_Lx3_f256b32_DIV2K_official-3660f70d.pth': '18q_D434sLG_rAZeHGonAX8dkqjoyZ2su',
'EDSR_Lx4_f256b32_DIV2K_official-76ee1c8f.pth': '1GCi30YYCzgMCcgheGWGusP9aWKOAy5vl'
},
'DUF': {
'DUF_x2_16L_official-39537cb9.pth': '1e91cEZOlUUk35keK9EnuK0F54QegnUKo',
'DUF_x3_16L_official-34ce53ec.pth': '1XN6aQj20esM7i0hxTbfiZr_SL8i4PZ76',
'DUF_x4_16L_official-bf8f0cfa.pth': '1V_h9U1CZgLSHTv1ky2M3lvuH-hK5hw_J',
'DUF_x4_28L_official-cbada450.pth': '1M8w0AMBJW65MYYD-_8_be0cSH_SHhDQ4',
'DUF_x4_52L_official-483d2c78.pth': '1GcmEWNr7mjTygi-QCOVgQWOo5OCNbh_T'
},
'TOF': {
'tof_x4_vimeo90k_official-32c9e01f.pth': '1TgQiXXsvkTBFrQ1D0eKPgL10tQGu0gKb'
},
'DFDNet': {
'DFDNet_dict_512-f79685f0.pth': '1iH00oMsoN_1OJaEQw3zP7_wqiAYMnY79',
'DFDNet_official-d1fa5650.pth': '1u6Sgcp8gVoy4uVTrOJKD3y9RuqH2JBAe'
},
'dlib': {
'mmod_human_face_detector-4cb19393.dat': '1FUM-hcoxNzFCOpCWbAUStBBMiU4uIGIL',
'shape_predictor_5_face_landmarks-c4b1e980.dat': '1PNPSmFjmbuuUDd5Mg5LDxyk7tu7TQv2F',
'shape_predictor_68_face_landmarks-fbdc2cb8.dat': '1IneH-O-gNkG0SQpNCplwxtOAtRCkG2ni'
},
'flownet': {
'spynet_sintel_final-3d2a1287.pth': '1VZz1cikwTRVX7zXoD247DB7n5Tj_LQpF'
},
'BasicVSR': {
'BasicVSR_REDS4-543c8261.pth': '1wLWdz18lWf9Z7lomHPkdySZ-_GV2920p',
'BasicVSR_Vimeo90K_BDx4-e9bf46eb.pth': '1baaf4RSpzs_zcDAF_s2CyArrGvLgmXxW',
'BasicVSR_Vimeo90K_BIx4-2a29695a.pth': '1ykIu1jv5wo95Kca2TjlieJFxeV4VVfHP',
'EDVR_REDS_pretrained_for_IconVSR-f62a2f1e.pth': '1ShfwddugTmT3_kB8VL6KpCMrIpEO5sBi',
'EDVR_Vimeo90K_pretrained_for_IconVSR-ee48ee92.pth': '16vR262NDVyVv5Q49xp2Sb-Llu05f63tt',
'IconVSR_REDS-aaa5367f.pth': '1b8ir754uIAFUSJ8YW_cmPzqer19AR7Hz',
'IconVSR_Vimeo90K_BDx4-cfcb7e00.pth': '13lp55s-YTd-fApx8tTy24bbHsNIGXdAH',
'IconVSR_Vimeo90K_BIx4-35fec07c.pth': '1lWUB36ERjFbAspr-8UsopJ6xwOuWjh2g'
}
}
if args.method == 'all':
for method in file_ids.keys():
download_pretrained_models(method, file_ids[method])
else:
download_pretrained_models(args.method, file_ids[args.method])