Hello, I’m trying to run Inference on a custom test set. But everytime I do it, I get the following error:
Exception: It's not possible to apply those transforms to your dataset: Not implemented: you can't apply transforms to this type of item (EmptyLabel)
I read that this happens because of the transformations I apply in the validation set.
What is the best approach here?
This is how I build my dataset:
tfms = get_transforms(flip_vert=True, max_warp=0, max_zoom=1.2, max_lighting=0.3) data = (src.transform(tfms, size=size, tfm_y=True) .databunch(bs=bs,num_workers=0) .normalize(imagenet_stats))
Is there any way to apply the transformations only to the training set? Is this the best option?
I appreciate any help.