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
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: I was using PyTorch 0.4.
I hope this will solve your problem.
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