in transfer/datasets.py [0:0]
def build_transform(is_train, args):
transform_train = transforms.Compose([
transforms.RandomResizedCrop((args.input_size, args.input_size), scale=(0.05, 1.0)),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
transforms.Normalize(IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD),
])
transform_test = transforms.Compose([
transforms.Resize(int((256 / 224) * args.input_size)),
transforms.CenterCrop(args.input_size),
transforms.ToTensor(),
transforms.Normalize(IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD),
])
return transform_train if is_train else transform_test