class ToTensor:
"""Convert a ``PIL Image`` or ``numpy.ndarray`` to tensor. This transform does not
support torchscript.
对于ToTensor的使用测试，
from PIL import Image
from torchvision import transforms
from torch.utils.tensorboard import SummaryWriter
writer = SummaryWriter("logs")
img = Image.open("C:/Users/Mxx/PycharmProjects/pythonProject4/images_set/GOGOGOGO.png")
print(img)
trans_totensor = transforms.ToTensor() #首先创建一个对象，来使用ToTensor的方法
img_tensor = trans_totensor(img)
writer.add_image("ToTensor",img_tensor)
writer.close()
writer.add_image需要接收一个img_tensor的数据类型
def add_image(self, tag, img_tensor, global_step=None, walltime=None,
dataformats='CHW'):
"""Add image data to summary.
使用tensorboard来查看，转成没。
tensorboard --logdir=temp/logs TensorFlow installation not found - running with reduced feature set. Serving TensorBoard on localhost; to expose to the network, use a proxy or pass --bind_all TensorBoard 2.8.0 at http://localhost:6006/ (Press CTRL+C to quit)
成功插入这个img的tensor类型。
对其进行标准化后查看标准化后的图片类型。
trans_norm_png = transforms.Normalize([0.5,0.5,0.5,0.5],[0.5,0.5,0.5,0.5])
img_norm = trans_norm_png(img_tensor)
writer.add_image("PNG Normalize",img_norm)
