python、PyTorch图像读取与numpy转换实例

img=Image.open('00381fa010_940422.tif').convert('L')

import torchvision.transforms as transforms trans=transforms.Compose([transforms.ToTensor()])

a=trans(img)

img=Image.open('00381fa010_940422.tif').convert('L')

import torchvision.transforms as transforms
trans=transforms.Compose([transforms.ToTensor()])

a=trans(img)
b=np.array(a) #b.shape (1,64,64)
maxi=b.max()
b=b*255./maxi
b=b.transpose(1,2,0).astype(np.uint8)
b=np.squeeze(b,axis=2)
xx=Image.fromarray(b)
xx

img2=Image.open('00381fa010_940422.tif').convert('RGB')
import torchvision.transforms as transforms
trans=transforms.Compose([transforms.ToTensor()])
a=trans(img2)
a=np.array(a)
maxi=a.max()
a=a/maxi*255
a=a.transpose(1,2,0).astype(np.uint8)
b=Image.fromarray(a)
b

import cv2
a=cv2.imread('00381fa010_940422.tif') #a.shape (64,64,3)
cv2.imwrite('asd.jpg',a)
Image.fromarray(a)
b=cv2.imread('00381fa010_940422.tif',0)#b.shape (64,64)
Image.fromarray(b)