def main():
# parse options, set distributed setting, set ramdom seed
opt = parse_options(is_train=False)
torch.backends.cudnn.benchmark = True
# torch.backends.cudnn.deterministic = True
# mkdir and initialize loggers
make_exp_dirs(opt)
log_file = osp.join(opt['path']['log'],
f"test_{opt['name']}_{get_time_str()}.log")
logger = get_root_logger(
logger_name='basicsr', log_level=logging.INFO, log_file=log_file)
logger.info(get_env_info())
logger.info(dict2str(opt))
# create test dataset and dataloader
test_loaders = []
for phase, dataset_opt in sorted(opt['datasets'].items()):
test_set = create_dataset(dataset_opt)
test_loader = create_dataloader(
test_set,
dataset_opt,
num_gpu=opt['num_gpu'],
dist=opt['dist'],
sampler=None,
seed=opt['manual_seed'])
logger.info(
f"Number of test images in {dataset_opt['name']}: {len(test_set)}")
test_loaders.append(test_loader)
# create model
model = create_model(opt)
for test_loader in test_loaders:
test_set_name = test_loader.dataset.opt['name']
logger.info(f'Testing {test_set_name}...')
rgb2bgr = opt['val'].get('rgb2bgr', True)
# wheather use uint8 image to compute metrics
use_image = opt['val'].get('use_image', True)
model.validation(
test_loader,
current_iter=opt['name'],
tb_logger=None,
save_img=opt['val']['save_img'],
rgb2bgr=rgb2bgr, use_image=use_image)
def parse_args(train=True):
parser = argparse.ArgumentParser(description="")
if train:
parser.add_argument('--opt', default='options/train/SRResNet_SRGAN/train_MSRResNet_x4.yml')
# parser.add_argument('--opt', default='options/train/CARN/train_CARN_x4.yml')
# parser.add_argument('--opt', default='options/train/CARN/train_CARNA_x4.yml')
# parser.add_argument('--opt', default='options/train/EDSR/train_EDSR_Mx4.yml')
# parser.add_argument('--opt', default='options/train/SRResNet_SRGAN/train_MSRResNetD_x4.yml')
# parser.add_argument('--opt', default='options/train/RFDN/train_RFDN_x4.yml')
# parser.add_argument('--opt', default='options/train/IMDN/train_IMDN_x4.yml')
else:
# parser.add_argument('--opt', default='options/test/SRResNet_SRGAN/test_MSRResNet_x4.yml')
# parser.add_argument('--opt', default='options/test/SRResNet_SRGAN/test_MSRResNet_x4_woGT.yml')
# parser.add_argument('--opt', default='options/test/CARN/test_CARN_x4.yml')
parser.add_argument('--opt', default='options/test/CARN/test_CARN_x4_woGT.yml')
parser.add_argument('--launcher', default='none')
parser.add_argument('--local_rank', type=int, default=0)
return parser
if __name__ == '__main__':
is_train = True
parser = parse_args(train=is_train)
args = parser.parse_args()
if is_train:
opt = train.parse_options(args=args)
train.main(opt)
else:
test_opt = test.parse_options(is_train=is_train, args=args)
test.main(test_opt)
