I am having trouble with my Datablock not having show_batch methods when customising to my own use case.
I am trying to port some of my code from fastai v1 to v2. Working through the Datablock tutorial https://docs.fast.ai/tutorial.datablock.html
My Datablock & Dataset:
dblock = DataBlock(get_items = get_image_files,
get_y = parent_label,
splitter = RandomSplitter())
dsets = dblock.datasets("PlantVillage-Dataset/raw/color/")
dsets.train[0] # this works
The error I get when I try dsets.show_batch():
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-56-5a2f74730596> in <module>
----> 1 dsets.show_batch()
~/.pyenv/versions/3.7.8/envs/fastai/lib/python3.7/site-packages/fastai/data/core.py in __getattr__(self, k)
315 return res if is_indexer(it) else list(zip(*res))
316
--> 317 def __getattr__(self,k): return gather_attrs(self, k, 'tls')
318 def __dir__(self): return super().__dir__() + gather_attr_names(self, 'tls')
319 def __len__(self): return len(self.tls[0])
~/.pyenv/versions/3.7.8/envs/fastai/lib/python3.7/site-packages/fastcore/transform.py in gather_attrs(o, k, nm)
163 att = getattr(o,nm)
164 res = [t for t in att.attrgot(k) if t is not None]
--> 165 if not res: raise AttributeError(k)
166 return res[0] if len(res)==1 else L(res)
167
AttributeError: show_batch
dls = dblock.dataloaders(path)
dls.show_batch()
After intialising the Datablock I needed to construct a dataloader for batch construction.