Hello,
I wanted to take a Subset of a Dataset to train with less images by using the convenience functions in ItemList
(specifically, MultiCategoryList
, because I’m training with the planet
dataset) but even following the documentation, I am getting some seemingly straightforward errors:
all_items = (ImageItemList.from_csv(path=Path(DATA_DIR), csv_name='train_v2.csv', suffix='.jpg', folder='train-jpg'))
items = all_items.random_split_by_pct(0.1).lists[1]
items = items.label_from_df(sep=' ')
data = items.databunch()
and I’m getting the error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-85-73d5cac79037> in <module>
----> 1 data = items.databunch()
~/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/data_block.py in __getattr__(self, k)
409 def __getattr__(self,k:str)->Any:
410 res = getattr(self.x, k, None)
--> 411 return res if res is not None else getattr(self.y, k)
412
413 def __getitem__(self,idxs:Union[int,np.ndarray])->'LabelList':
AttributeError: 'MultiCategoryList' object has no attribute 'databunch'
I assume the development of ItemList
is not done yet? If so, what would be the current fastai way to do this?