I am trying to visualize PyTorch image tensors per loader (I have multiple data loaders) as follows:
validation_loaders =  if len(validation_datasets)==5: for validation_dataset in validation_datasets: # print one image to sample the labels dict=validation_dataset.__getitem__(0) im = dict['input1'] plt.imshow(im.permute(1, 2, 0)) validation_loaders.append(DataLoader( validation_dataset, batch_size=args.batch_size, shuffle=False, drop_last=False, **gpuargs))
but I get this error:
Qt: Session management error: None of the authentication protocols specified are supported
I am running the code via ubuntu shell. I also tried to run it via visual studio terminal an in an ubuntu system. The problem is that I do not know where the problem stems from so I can debug it. Is this the correct way to visulize images or I need to do it differently? anyone faced a similar issue?
I appreciate the help.