I saw that Jeremy also got this error: https://www.youtube.com/watch?v=44pe47sB4BI&t=3933s 1h16min is there a solution?
Sometimes it works other not.
I guess it depends on the preparation of the Transform and if we are using a Pipeline.
---------------------------------------------------------------------------
**AssertionError** Traceback (most recent call last)
<ipython-input-22-8517c825915f> in <module>
----> 1 dls = dblock.dataloaders(path)
2 dls.show_batch()
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/block.py in dataloaders(self, source, path, verbose, **kwargs)
96
97 def dataloaders(self, source, path='.', verbose=False, **kwargs):
---> 98 dsets = self.datasets(source)
99 kwargs = {**self.dls_kwargs, **kwargs, 'verbose': verbose}
100 return dsets.dataloaders(path=path, after_item=self.item_tfms, after_batch=self.batch_tfms, **kwargs)
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/block.py in datasets(self, source, verbose)
93 splits = (self.splitter or RandomSplitter())(items)
94 pv(f"{len(splits)} datasets of sizes {','.join([str(len(s)) for s in splits])}", verbose)
---> 95 return Datasets(items, tfms=self._combine_type_tfms(), splits=splits, dl_type=self.dl_type, n_inp=self.n_inp, verbose=verbose)
96
97 def dataloaders(self, source, path='.', verbose=False, **kwargs):
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in __init__(self, items, tfms, tls, n_inp, dl_type, **kwargs)
272 def __init__(self, items=None, tfms=None, tls=None, n_inp=None, dl_type=None, **kwargs):
273 super().__init__(dl_type=dl_type)
--> 274 self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
275 self.n_inp = (1 if len(self.tls)==1 else len(self.tls)-1) if n_inp is None else n_inp
276
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in <listcomp>(.0)
272 def __init__(self, items=None, tfms=None, tls=None, n_inp=None, dl_type=None, **kwargs):
273 super().__init__(dl_type=dl_type)
--> 274 self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
275 self.n_inp = (1 if len(self.tls)==1 else len(self.tls)-1) if n_inp is None else n_inp
276
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/foundation.py in __call__(cls, x, *args, **kwargs)
39 return x
40
---> 41 res = super().__call__(*((x,) + args), **kwargs)
42 res._newchk = 0
43 return res
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in __init__(self, items, tfms, use_list, do_setup, split_idx, train_setup, splits, types, verbose)
212 if do_setup:
213 pv(f"Setting up {self.tfms}", verbose)
--> 214 self.setup(train_setup=train_setup)
215
216 def _new(self, items, **kwargs): return super()._new(items, tfms=self.tfms, do_setup=False, types=self.types, **kwargs)
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in setup(self, train_setup)
226
227 def setup(self, train_setup=True):
--> 228 self.tfms.setup(self, train_setup)
229 if len(self) != 0:
230 x = super().__getitem__(0) if self.splits is None else super().__getitem__(self.splits[0])[0]
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/transform.py in setup(self, items, train_setup)
177 tfms = self.fs[:]
178 self.fs.clear()
--> 179 for t in tfms: self.add(t,items, train_setup)
180
181 def add(self,t, items=None, train_setup=False):
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/transform.py in add(self, t, items, train_setup)
180
181 def add(self,t, items=None, train_setup=False):
--> 182 t.setup(items, train_setup)
183 self.fs.append(t)
184
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/transform.py in setup(self, items, train_setup)
76 def setup(self, items=None, train_setup=False):
77 train_setup = train_setup if self.train_setup is None else self.train_setup
---> 78 return self.setups(getattr(items, 'train', items) if train_setup else items)
79
80 def _call(self, fn, x, split_idx=None, **kwargs):
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/dispatch.py in __call__(self, *args, **kwargs)
96 if not f: return args[0]
97 if self.inst is not None: f = MethodType(f, self.inst)
---> 98 return f(*args, **kwargs)
99
100 def __get__(self, inst, owner):
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/transforms.py in setups(self, dsets)
214
215 def setups(self, dsets):
--> 216 if self.vocab is None and dsets is not None: self.vocab = CategoryMap(dsets, add_na=self.add_na)
217 self.c = len(self.vocab)
218
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/transforms.py in __init__(self, col, sort, add_na)
199 if not hasattr(col,'unique'): col = L(col, use_list=True)
200 # `o==o` is the generalized definition of non-NaN used by Pandas
--> 201 items = L(o for o in col.unique() if o==o)
202 if sort: items = items.sorted()
203 self.items = '#na#' + items if add_na else items
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/foundation.py in unique(self)
379 return self._new(i for i,o in enumerate(self) if f(o))
380
--> 381 def unique(self): return L(dict.fromkeys(self).keys())
382 def enumerate(self): return L(enumerate(self))
383 def val2idx(self): return {v:k for k,v in self.enumerate()}
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in <genexpr>(.0)
218 def _after_item(self, o): return self.tfms(o)
219 def __repr__(self): return f"{self.__class__.__name__}: {self.items}\ntfms - {self.tfms.fs}"
--> 220 def __iter__(self): return (self[i] for i in range(len(self)))
221 def show(self, o, **kwargs): return self.tfms.show(o, **kwargs)
222 def decode(self, o, **kwargs): return self.tfms.decode(o, **kwargs)
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in __getitem__(self, idx)
253 res = super().__getitem__(idx)
254 if self._after_item is None: return res
--> 255 return self._after_item(res) if is_indexer(idx) else res.map(self._after_item)
256
257 # Cell
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in _after_item(self, o)
216 def _new(self, items, **kwargs): return super()._new(items, tfms=self.tfms, do_setup=False, types=self.types, **kwargs)
217 def subset(self, i): return self._new(self._get(self.splits[i]), split_idx=i)
--> 218 def _after_item(self, o): return self.tfms(o)
219 def __repr__(self): return f"{self.__class__.__name__}: {self.items}\ntfms - {self.tfms.fs}"
220 def __iter__(self): return (self[i] for i in range(len(self)))
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/transform.py in __call__(self, o)
183 self.fs.append(t)
184
--> 185 def __call__(self, o): return compose_tfms(o, tfms=self.fs, split_idx=self.split_idx)
186 def __repr__(self): return f"Pipeline: {' -> '.join([f.name for f in self.fs if f.name != 'noop'])}"
187 def __getitem__(self,i): return self.fs[i]
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/transform.py in compose_tfms(x, tfms, is_enc, reverse, **kwargs)
136 for f in tfms:
137 if not is_enc: f = f.decode
--> 138 x = f(x, **kwargs)
139 return x
140
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/transform.py in __call__(self, x, **kwargs)
70 @property
71 def name(self): return getattr(self, '_name', _get_name(self))
---> 72 def __call__(self, x, **kwargs): return self._call('encodes', x, **kwargs)
73 def decode (self, x, **kwargs): return self._call('decodes', x, **kwargs)
74 def __repr__(self): return f'{self.name}: {self.encodes} {self.decodes}'
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/transform.py in _call(self, fn, x, split_idx, **kwargs)
80 def _call(self, fn, x, split_idx=None, **kwargs):
81 if split_idx!=self.split_idx and self.split_idx is not None: return x
---> 82 return self._do_call(getattr(self, fn), x, **kwargs)
83
84 def _do_call(self, f, x, **kwargs):
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/transform.py in _do_call(self, f, x, **kwargs)
84 def _do_call(self, f, x, **kwargs):
85 if not _is_tuple(x):
---> 86 return x if f is None else retain_type(f(x, **kwargs), x, f.returns_none(x))
87 res = tuple(self._do_call(f, x_, **kwargs) for x_ in x)
88 return retain_type(res, x)
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/dispatch.py in __call__(self, *args, **kwargs)
96 if not f: return args[0]
97 if self.inst is not None: f = MethodType(f, self.inst)
---> 98 return f(*args, **kwargs)
99
100 def __get__(self, inst, owner):
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/transforms.py in __call__(self, o, **kwargs)
170 def __call__(self, o, **kwargs):
171 res = self.matcher(str(o))
--> 172 assert res,f'Failed to find "{self.pat}" in "{o}"'
173 return res.group(1)
174
**AssertionError**: Failed to find "re.compile('^(.*)_\\d+.jpg$')" in "xxx_1500.jpeg"
I also changed with '([\\w\\s.-]).jpg')
Failed to find "re.compile('([\\w\\s.-]).jpg')" in "xxx_1500.jpeg"
as in the suggestion here Failed to find "re.compile('([^\\\\]+)_\\d+.jpg$')" in "/content/drive/
