Posting this issue on forums first after following all instructions on github for posting issues
data = ImageDataBunch.from_df(path/'images', df, valid_pct=0.2, dl_tfms=tfms, size=size)
data.show_batch(rows=4, figsize=(12,9))
In two words, when I add transforms to ImageDataBunch it throws
Same code without transforms works just fine
TypeError Traceback (most recent call last)
<ipython-input-18-8c112221dbf0> in <module>
1 data = ImageDataBunch.from_df(path/'images', df, valid_pct=0.2, dl_tfms=tfms, size=size)
----> 2 data.show_batch(rows=4, figsize=(12,9))
/opt/conda/lib/python3.7/site-packages/fastai/basic_data.py in show_batch(self, rows, ds_type, reverse, **kwargs)
184 def show_batch(self, rows:int=5, ds_type:DatasetType=DatasetType.Train, reverse:bool=False, **kwargs)->None:
185 "Show a batch of data in `ds_type` on a few `rows`."
--> 186 x,y = self.one_batch(ds_type, True, True)
187 if reverse: x,y = x.flip(0),y.flip(0)
188 n_items = rows **2 if self.train_ds.x._square_show else rows
/opt/conda/lib/python3.7/site-packages/fastai/basic_data.py in one_batch(self, ds_type, detach, denorm, cpu)
167 w = dl.num_workers
168 dl.num_workers = 0
--> 169 try: x,y = next(iter(dl))
170 finally: dl.num_workers = w
171 if detach: x,y = to_detach(x,cpu=cpu),to_detach(y,cpu=cpu)
/opt/conda/lib/python3.7/site-packages/fastai/basic_data.py in __iter__(self)
73 def __iter__(self):
74 "Process and returns items from `DataLoader`."
---> 75 for b in self.dl: yield self.proc_batch(b)
76
77 @classmethod
/opt/conda/lib/python3.7/site-packages/fastai/basic_data.py in proc_batch(self, b)
68 "Process batch `b` of `TensorImage`."
69 b = to_device(b, self.device)
---> 70 for f in listify(self.tfms): b = f(b)
71 return b
72
TypeError: 'list' object is not callable
All code to reproduce and errors are here https://www.kaggle.com/kasianenko/plant-pathology-draft-fastai1 (Version 4 is from master, Version 2 if from Kaggle installed version)
Sorry for a lot of warnings in Kaggle notebook, will be happy to know how to disable them too.