models/SRGAN/m.py

from PIL import Image
from torchvision.transforms import PILToTensor
ip = Image.open('images/demo.png')
lr = PILToTensor()(ip).unsqueeze(0).permute(0, 2, 3, 1)
print(lr.shape)
lr = lr.squeeze(0).permute(0, 1, 2).numpy()
# lr = PILToTensor()(ip).permute(1, 2, 0)
# lr = lr.unsqueeze(0).permute(0, 3, 1, 2).numpy()
print(lr.shape)