a PIL image or a list of PIL images to NumPy arrays.  postprocess  < source > ( image: FloatTensor output_type: str = 'pil' do_denormalize: Optional = None  ) → PIL.Image.Image, np.ndarray or torch.FloatTensor  Parameters   image (torch.FloatTensor) —
The image input, should be a pytorch tensor with shape B x C x H x W.   output_type (str, optional, defaults to pil) —
The output type of the image, can be one of pil, np, pt, latent.   do_denorma