【笔记】神经网络中类Dataset 的 另一种替代方法transforms：将Image.open（图片地址）返回的数据传给transforms的形参，transforms返回处理后的结果

from PIL import Image

import torchvision as tv

import torch as t

transforms = tv.transforms.Compose([
        tv.transforms.Resize(550),
        # tv.transforms.CenterCrop(opt.image_size),
        tv.transforms.ToTensor(),
        # tv.transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))
    ])

img=Image.open("./picture_presolve/picture4/picture/xxx.png")

img=transforms(img)