hi,
 `torchvision.transforms.` `ToTensor`

Convert a  PIL Image  or  numpy.ndarray  to tensor.
Converts a PIL Image or numpy.ndarray (H x W x C) in the range [0, 255] to a torch.FloatTensor of shape (C x H x W) in the range [0.0, 1.0]
why need  use ToTensor for images of segmentation task inputs? Is this related to the loss function?
thanks!