My code looks like this:
normalize_tfm = Normalize.from_stats(*imagenet_stats) block = DataBlock( get_items=get_image_files, get_y=parent_label, blocks=(ImageBlock, CategoryBlock ), splitter=splitter, batch_tfms=normalize_tfm, ) dls = block.dataloaders(root_dir/'4_states', batch_size=64)
I have made a model, and I would like to convert its predictions from a number (eg. 0) to a string (eg. “Hawaii”). I think I need to access the categories created by the CategoryBlock to get this information. How can I do this?