Resizing images in with DataLoader

vision
1

I am going through the ant bees transfer learning tutorial, and I am trying to get a deep understanding of preparing data in Pytorch. I removed all of the transformations except ToTensor, but it seems
you need to make sure images need to be resized?

So I am trying this:

train_data = ImageFolder(root = os.path.join(root_dir, ‘train’), transform=transforms.Compose([Resize(256),ToTensor()]))
train_loader = iter(dataloader)
x,y = next(train_loader)

However I am still getting a runtime Error:

`Sizes of tensors must match except in dimension 0. Got 371 and 375 in dimension 2 at ..\aten    \src\TH/generic/THTensor.cpp:711`

Preformatted textIs there another transformation I need to add?

PS: Is there no preview button on these boards? I am trying out different formating options but I can’t seem to find a way to preview the options. Thank you. .

1 Like
2

If size is a sequence like (h, w), output size will be matched to this.

If size is an int, smaller edge of the image will be matched to this number. i.e, if height > width, then image will be rescaled to (size * height / width, size)

I think this is the problem. Instead of Resize(256) try, Resize(256,256). This will alter the aspect ratio. But, first check and let us know the outcome.

3

Yes that seems to be case. Thank you so much.