P11.常见的transforms（一）
11.1_call_使用
11.2ToTensor使用
1.代码如下：
点击查看代码
from PIL import Image
from torch.utils.tensorboard import SummaryWriter
from torchvision import transformsimg = Image.open("images/myphoto.png")
print(img)
writer = SummaryWriter("logs1")#ToTensor
#trans_tensor是transforms.ToTensor这个类的实例化，trans_tensor是一个对象
trans_tensor = transforms.ToTensor()
img_tensor = trans_tensor(img)
writer.add_image("ToTensor",img_tensor)writer.close()
2.运行结果如下：
点击查看代码
D:\anaconda3\envs\pytorch\python.exe D:/DeepLearning/Learn_torch/P10_UsefulTransforms.py
<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=3456x4608 at 0x15B627A9D00>进程已结束,退出代码0
3.tensorboard打开
11.3Normalize使用(归一化）
1.计算公式
up主举例计算：
2.代码如下
点击查看代码
from PIL import Image
from torch.utils.tensorboard import SummaryWriter
from torchvision import transformsimg = Image.open("images/myphoto.png")
print(img)
writer = SummaryWriter("logs1")#ToTensor
#trans_tensor是transforms.ToTensor这个类的实例化，trans_tensor是一个对象
trans_tensor = transforms.ToTensor()
img_tensor = trans_tensor(img)
writer.add_image("ToTensor",img_tensor)# writer.close()
#Normalize
print(img_tensor[0][0][0])trans_norm = transforms.Normalize([0.5,0.5,0.5],[0.5,0.5,0.5])
img_norm = trans_norm(img_tensor)
writer.add_image("ToNormalize",img_norm)print(img_norm[0][0][0])writer.close()
3.归一化前后变化
4.tensorboard打开
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