preprocess.py 文件源码

def pad_random_crop(input_size, scale_size=None, normalize=__imagenet_stats):
    padding = int((scale_size - input_size) / 2)
    return transforms.Compose([
        transforms.RandomCrop(input_size, padding=padding),
        transforms.RandomHorizontalFlip(),
        transforms.ToTensor(),
        transforms.Normalize(**normalize),
    ])