Error in Google Colaboratory - AttributeError: module 'PIL.Image' has no attribute 'register_decoder'











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I am running this code on Google Colaboratory and I am getting error of register decoder



image_data = dset.ImageFolder(root="drive/SemanticDataset/train/", transform = transforms.Compose([
transforms.Scale(size=img_size),
transforms.CenterCrop(size=(img_size,img_size*2)),
transforms.ToTensor(),
]))
enter code herelabel_data = dset.ImageFolder(root="drive/SemanticDataset/label/", transform = transforms.Compose([
transforms.Scale(size=img_size),
transforms.CenterCrop(size=(img_size,img_size*2)),
transforms.ToTensor(),
]))

image_batch = data.DataLoader(image_data, batch_size=batch_size, shuffle=False, num_workers=2)
label_batch = data.DataLoader(label_data, batch_size=batch_size, shuffle=False, num_workers=2)
for i in range(epoch):
for _, (image, label) in enumerate(zip(image_batch, label_batch)):
optimizer.zero_grad()

x = Variable(image, requires_grad=True).cuda()
y = Variable(label).cuda()

out = model.forward(x)
loss = loss_func(out, y)

loss.backward()
optimizer.step()

if _ % 100 == 0:
print("Epoch: "+i+"| Loss: " , loss)


here is the screenshot of error










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    up vote
    2
    down vote

    favorite












    I am running this code on Google Colaboratory and I am getting error of register decoder



    image_data = dset.ImageFolder(root="drive/SemanticDataset/train/", transform = transforms.Compose([
    transforms.Scale(size=img_size),
    transforms.CenterCrop(size=(img_size,img_size*2)),
    transforms.ToTensor(),
    ]))
    enter code herelabel_data = dset.ImageFolder(root="drive/SemanticDataset/label/", transform = transforms.Compose([
    transforms.Scale(size=img_size),
    transforms.CenterCrop(size=(img_size,img_size*2)),
    transforms.ToTensor(),
    ]))

    image_batch = data.DataLoader(image_data, batch_size=batch_size, shuffle=False, num_workers=2)
    label_batch = data.DataLoader(label_data, batch_size=batch_size, shuffle=False, num_workers=2)
    for i in range(epoch):
    for _, (image, label) in enumerate(zip(image_batch, label_batch)):
    optimizer.zero_grad()

    x = Variable(image, requires_grad=True).cuda()
    y = Variable(label).cuda()

    out = model.forward(x)
    loss = loss_func(out, y)

    loss.backward()
    optimizer.step()

    if _ % 100 == 0:
    print("Epoch: "+i+"| Loss: " , loss)


    here is the screenshot of error










    share|improve this question









    New contributor




    Aditya Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.






















      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      I am running this code on Google Colaboratory and I am getting error of register decoder



      image_data = dset.ImageFolder(root="drive/SemanticDataset/train/", transform = transforms.Compose([
      transforms.Scale(size=img_size),
      transforms.CenterCrop(size=(img_size,img_size*2)),
      transforms.ToTensor(),
      ]))
      enter code herelabel_data = dset.ImageFolder(root="drive/SemanticDataset/label/", transform = transforms.Compose([
      transforms.Scale(size=img_size),
      transforms.CenterCrop(size=(img_size,img_size*2)),
      transforms.ToTensor(),
      ]))

      image_batch = data.DataLoader(image_data, batch_size=batch_size, shuffle=False, num_workers=2)
      label_batch = data.DataLoader(label_data, batch_size=batch_size, shuffle=False, num_workers=2)
      for i in range(epoch):
      for _, (image, label) in enumerate(zip(image_batch, label_batch)):
      optimizer.zero_grad()

      x = Variable(image, requires_grad=True).cuda()
      y = Variable(label).cuda()

      out = model.forward(x)
      loss = loss_func(out, y)

      loss.backward()
      optimizer.step()

      if _ % 100 == 0:
      print("Epoch: "+i+"| Loss: " , loss)


      here is the screenshot of error










      share|improve this question









      New contributor




      Aditya Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      I am running this code on Google Colaboratory and I am getting error of register decoder



      image_data = dset.ImageFolder(root="drive/SemanticDataset/train/", transform = transforms.Compose([
      transforms.Scale(size=img_size),
      transforms.CenterCrop(size=(img_size,img_size*2)),
      transforms.ToTensor(),
      ]))
      enter code herelabel_data = dset.ImageFolder(root="drive/SemanticDataset/label/", transform = transforms.Compose([
      transforms.Scale(size=img_size),
      transforms.CenterCrop(size=(img_size,img_size*2)),
      transforms.ToTensor(),
      ]))

      image_batch = data.DataLoader(image_data, batch_size=batch_size, shuffle=False, num_workers=2)
      label_batch = data.DataLoader(label_data, batch_size=batch_size, shuffle=False, num_workers=2)
      for i in range(epoch):
      for _, (image, label) in enumerate(zip(image_batch, label_batch)):
      optimizer.zero_grad()

      x = Variable(image, requires_grad=True).cuda()
      y = Variable(label).cuda()

      out = model.forward(x)
      loss = loss_func(out, y)

      loss.backward()
      optimizer.step()

      if _ % 100 == 0:
      print("Epoch: "+i+"| Loss: " , loss)


      here is the screenshot of error







      python dataset python-imaging-library pytorch






      share|improve this question









      New contributor




      Aditya Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question









      New contributor




      Aditya Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question








      edited 2 days ago









      blue-phoenox

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      2,77471435






      New contributor




      Aditya Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 2 days ago









      Aditya Kumar

      112




      112




      New contributor




      Aditya Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      New contributor





      Aditya Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      Aditya Kumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.
























          1 Answer
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          oldest

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          up vote
          1
          down vote













          First, check the version of pillow you have by using:



          import PIL
          print(PIL.PILLOW_VERSION)


          and make sure you have the newest version, the one I am using right now is 5.3.0
          If you have like 4.0.0, install a new version by using:
          !pip install Pillow==5.3.0 in the Colab environment.



          Second, restart your Google colab environment, and check the version again, it should be updated.



          I had the same problem, and I spent some time trying to solve it.



          Note: Make sure you are using PyTorch 0.4.



          I hope this will solve your problem.






          share|improve this answer























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            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            1
            down vote













            First, check the version of pillow you have by using:



            import PIL
            print(PIL.PILLOW_VERSION)


            and make sure you have the newest version, the one I am using right now is 5.3.0
            If you have like 4.0.0, install a new version by using:
            !pip install Pillow==5.3.0 in the Colab environment.



            Second, restart your Google colab environment, and check the version again, it should be updated.



            I had the same problem, and I spent some time trying to solve it.



            Note: Make sure you are using PyTorch 0.4.



            I hope this will solve your problem.






            share|improve this answer



























              up vote
              1
              down vote













              First, check the version of pillow you have by using:



              import PIL
              print(PIL.PILLOW_VERSION)


              and make sure you have the newest version, the one I am using right now is 5.3.0
              If you have like 4.0.0, install a new version by using:
              !pip install Pillow==5.3.0 in the Colab environment.



              Second, restart your Google colab environment, and check the version again, it should be updated.



              I had the same problem, and I spent some time trying to solve it.



              Note: Make sure you are using PyTorch 0.4.



              I hope this will solve your problem.






              share|improve this answer

























                up vote
                1
                down vote










                up vote
                1
                down vote









                First, check the version of pillow you have by using:



                import PIL
                print(PIL.PILLOW_VERSION)


                and make sure you have the newest version, the one I am using right now is 5.3.0
                If you have like 4.0.0, install a new version by using:
                !pip install Pillow==5.3.0 in the Colab environment.



                Second, restart your Google colab environment, and check the version again, it should be updated.



                I had the same problem, and I spent some time trying to solve it.



                Note: Make sure you are using PyTorch 0.4.



                I hope this will solve your problem.






                share|improve this answer














                First, check the version of pillow you have by using:



                import PIL
                print(PIL.PILLOW_VERSION)


                and make sure you have the newest version, the one I am using right now is 5.3.0
                If you have like 4.0.0, install a new version by using:
                !pip install Pillow==5.3.0 in the Colab environment.



                Second, restart your Google colab environment, and check the version again, it should be updated.



                I had the same problem, and I spent some time trying to solve it.



                Note: Make sure you are using PyTorch 0.4.



                I hope this will solve your problem.







                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited yesterday

























                answered yesterday









                Michael Heidelberg

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