python中list,ndarray,Tensor间的转换小结

From PIL import Image
y = Image.fromarray(array)

From PIL import Image
image = Image.open(“…..”)
img = np.asarray(image)

import numpy as np
yy = np.array(tensor) 

tensor = torch.from_numpy(ndarray)

array.astype(np.uint8)  

import numpy as np
n = np.array([[1,2],[3,4],[5,6]])
m = n.tolist()

tensor = torch.tensor(list)

import numpy as np
import torch

#list转换为ndarray
li=[[1,2,3],[4,5,6],[7,8,9]]
a=np.array(li)  #list转换为ndarray
print(a) 
print(type(a),'\n')

#ndarray转换为list
b=a.tolist()#ndarray转换为list
print(b) 
print(type(b),'\n')

#list转换为Tensor
li=[[1,2,3],[4,5,6],[7,8,9]]
c=torch.tensor(li)  #list转换为Tensor
print(c)
print(type(c),'\n')

#Tensor转换为list
d=c.tolist() #Tensor转换为list
print(d) 
print(type(d),'\n')

#ndarray转换为Tensor
nd=np.arange(0,12).reshape(3,4)
e=torch.from_numpy(nd)  #ndarray转换为Tensor
# e=torch.tensor(nd)    #ndarray转换为Tensor
print(e) 
print(type(e),'\n')

#Tensor转换为ndarray
f=e.numpy()
print(f) 
print(type(f),'\n')