After updating the library (Google Cloud), my data_block API doesn’t work. The random_split_by_pct() returns an error. Using path_img.ls() the directory seems correct: a bunch of folders with images.
The error: IndexError: index 0 is out of bounds for axis 0 with size 0
Here is the complete Traceback:
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-10-78f0ff0ee252> in <module>
1 data = (ImageItemList.from_folder(path_img, extensions='.jpg')
2 .use_partial_data(sample_pct = .75, seed = 17)
----> 3 .random_split_by_pct(valid_pct=0.2, seed = 4)
4 .label_from_folder()
5 .transform(tfms, size=299)
/opt/anaconda3/lib/python3.7/site-packages/fastai/data_block.py in _inner(*args, **kwargs)
427 assert isinstance(fv, Callable)
428 def _inner(*args, **kwargs):
--> 429 self.train = ft(*args, **kwargs)
430 assert isinstance(self.train, LabelList)
431 kwargs['label_cls'] = self.train.y.__class__
/opt/anaconda3/lib/python3.7/site-packages/fastai/data_block.py in label_from_folder(self, label_cls, **kwargs)
260 def label_from_folder(self, label_cls:Callable=None, **kwargs)->'LabelList':
261 "Give a label to each filename depending on its folder."
--> 262 return self.label_from_func(func=lambda o: o.parts[-2], label_cls=label_cls, **kwargs)
263
264 def label_from_re(self, pat:str, full_path:bool=False, label_cls:Callable=None, **kwargs)->'LabelList':
/opt/anaconda3/lib/python3.7/site-packages/fastai/data_block.py in label_from_func(self, func, label_cls, **kwargs)
256 def label_from_func(self, func:Callable, label_cls:Callable=None, **kwargs)->'LabelList':
257 "Apply `func` to every input to get its label."
--> 258 return self.label_from_list([func(o) for o in self.items], label_cls=label_cls, **kwargs)
259
260 def label_from_folder(self, label_cls:Callable=None, **kwargs)->'LabelList':
/opt/anaconda3/lib/python3.7/site-packages/fastai/data_block.py in label_from_list(self, labels, label_cls, **kwargs)
232 "Label `self.items` with `labels`."
233 labels = array(labels, dtype=object)
--> 234 label_cls = self.get_label_cls(labels, label_cls=label_cls, **kwargs)
235 y = label_cls(labels, path=self.path, **kwargs)
236 res = self._label_list(x=self, y=y)
/opt/anaconda3/lib/python3.7/site-packages/fastai/data_block.py in get_label_cls(self, labels, label_cls, label_delim, **kwargs)
222 if label_cls is not None: return label_cls
223 if self.label_cls is not None: return self.label_cls
--> 224 it = index_row(labels,0)
225 if label_delim is not None: return MultiCategoryList
226 if isinstance(it, (float, np.float32)): return FloatList
/opt/anaconda3/lib/python3.7/site-packages/fastai/core.py in index_row(a, idxs)
238 if isinstance(res,(pd.DataFrame,pd.Series)): return res.copy()
239 return res
--> 240 return a[idxs]
241
242 def func_args(func)->bool:
IndexError: index 0 is out of bounds for axis 0 with size 0
I don’t have a clue! I tried no split() as well and changed ImageItemList to ImageList already.
It seems so straight forward, what am I missing?
Please any help is welcome! 