Previous versions of fastai would pass “tfms=imagenet_norm” to image_data_from_folder():
data = image_data_from_folder(*other_args, tfms=imagenet_norm)
From what I understand, this normalizes the data based on the Imagenet statistics.
But now in the latest version it appears that the equivalent function ImageDataBunch.from_folder() does not accept any tfms argument even though it is supposed to accept the kwargs from .create() which does in fact include a kwarg called tfms=None.
How is this supposed to be properly done in the latest fastai (1.0.15)? I tried eliminating the tfms kwarg and instead did:
data = ImageDataBunch.from_folder(*other_args)
Is this correct? Or is there something missing?