I Tried to create a Imagedatabunch from df but when I try to train I got this error:
FileNotFoundError: [Errno 2] No such file or directory: ‘/content/data/images/ -Tz7W_t25Xg.JPEG’
I saw that the path has a space on it, from …images/ to image name, but I couldn’t realize why, as the row from df was ok. below is the error message the data frame as input.
Here is the full error:
FileNotFoundError Traceback (most recent call last)
in ()
----> 1 data.show_batch(rows=3, figsize=(7,8))
12 frames
/usr/local/lib/python3.6/dist-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
/usr/local/lib/python3.6/dist-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)
/usr/local/lib/python3.6/dist-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
/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py in next(self)
343
344 def next(self):
–> 345 data = self._next_data()
346 self._num_yielded += 1
347 if self._dataset_kind == _DatasetKind.Iterable and \
/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py in _next_data(self)
383 def _next_data(self):
384 index = self._next_index() # may raise StopIteration
–> 385 data = self._dataset_fetcher.fetch(index) # may raise StopIteration
386 if self._pin_memory:
387 data = _utils.pin_memory.pin_memory(data)
/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py in fetch(self, possibly_batched_index)
42 def fetch(self, possibly_batched_index):
43 if self.auto_collation:
—> 44 data = [self.dataset[idx] for idx in possibly_batched_index]
45 else:
46 data = self.dataset[possibly_batched_index]
/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py in (.0)
42 def fetch(self, possibly_batched_index):
43 if self.auto_collation:
—> 44 data = [self.dataset[idx] for idx in possibly_batched_index]
45 else:
46 data = self.dataset[possibly_batched_index]
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py in getitem(self, idxs)
653 idxs = try_int(idxs)
654 if isinstance(idxs, Integral):
–> 655 if self.item is None: x,y = self.x[idxs],self.y[idxs]
656 else: x,y = self.item ,0
657 if self.tfms or self.tfmargs:
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py in getitem(self, idxs)
118 “returns a single item based if idxs is an integer or a new ItemList object if idxs is a range.”
119 idxs = try_int(idxs)
–> 120 if isinstance(idxs, Integral): return self.get(idxs)
121 else: return self.new(self.items[idxs], inner_df=index_row(self.inner_df, idxs))
122
/usr/local/lib/python3.6/dist-packages/fastai/vision/data.py in get(self, i)
269 def get(self, i):
270 fn = super().get(i)
–> 271 res = self.open(fn)
272 self.sizes[i] = res.size
273 return res
/usr/local/lib/python3.6/dist-packages/fastai/vision/data.py in open(self, fn)
265 def open(self, fn):
266 “Open image in fn, subclass and overwrite for custom behavior.”
–> 267 return open_image(fn, convert_mode=self.convert_mode, after_open=self.after_open)
268
269 def get(self, i):
/usr/local/lib/python3.6/dist-packages/fastai/vision/image.py in open_image(fn, div, convert_mode, cls, after_open)
396 with warnings.catch_warnings():
397 warnings.simplefilter(“ignore”, UserWarning) # EXIF warning from TiffPlugin
–> 398 x = PIL.Image.open(fn).convert(convert_mode)
399 if after_open: x = after_open(x)
400 x = pil2tensor(x,np.float32)
/usr/local/lib/python3.6/dist-packages/PIL/Image.py in open(fp, mode)
2807
2808 if filename:
-> 2809 fp = builtins.open(filename, “rb”)
2810 exclusive_fp = True
2811
FileNotFoundError: [Errno 2] No such file or directory: ‘/content/data/images/ -fyyIZjcrq0.JPEG’