additional_aug=[[zoom_crop(scale=(0.75,1.25), do_rand=False)],
[brightness()],
[contrast()]]
ds_tfms = get_transforms(do_flip=True,
flip_vert=True,
max_lighting=0.2,
xtra_tfms=additional_aug)
data = ImageDataBunch.from_folder(path_db, train=".", valid_pct=0.2,
ds_tfms=get_transforms(), size=224,bs=32, num_workers=4).normalize(imagenet_stats)
Exception: It's not possible to apply those transforms to your dataset:
'Image' object has no attribute '_maybe_add_crop_pad'