Hey folks,
I’m trying to rebuild the PILBase as RAWBase, so it will support RAW files.
What do you think could be the problem here?
My code:
class RawBase(Image.Image, metaclass=BypassNewMeta): #, metaclass=BypassNewMeta
"This is to copy class PILBase"
_bypass_type=Image.Image
_show_args = {'cmap':'viridis'}
_open_args = {'mode': 'RGB'}
@classmethod
#staticmethod
def create(cls,fn:(Path,str), *args, **kwargs)->None:
return cls(load_raw_image(fn, *args, **kwargs))
def __repr__(self): return f'{self.__class__.__name__} mode={self.mode} size={"x".join([str(d) for d in self.size])}'
Of course, RAWBase won’t inherit Image.Image eventually, because that is also part of PIL library. But there’s an error that I can’t tell where it comes from or why it does.
/usr/local/lib/python3.7/dist-packages/fastai/data/block.py in dataloaders(self, source, path, verbose, **kwargs)
111
112 def dataloaders(self, source, path='.', verbose=False, **kwargs):
--> 113 dsets = self.datasets(source, verbose=verbose)
114 kwargs = {**self.dls_kwargs, **kwargs, 'verbose': verbose}
115 return dsets.dataloaders(path=path, after_item=self.item_tfms, after_batch=self.batch_tfms, **kwargs)
/usr/local/lib/python3.7/dist-packages/fastai/data/block.py in datasets(self, source, verbose)
108 splits = (self.splitter or RandomSplitter())(items)
109 pv(f"{len(splits)} datasets of sizes {','.join([str(len(s)) for s in splits])}", verbose)
--> 110 return Datasets(items, tfms=self._combine_type_tfms(), splits=splits, dl_type=self.dl_type, n_inp=self.n_inp, verbose=verbose)
111
112 def dataloaders(self, source, path='.', verbose=False, **kwargs):
/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in __init__(self, items, tfms, tls, n_inp, dl_type, **kwargs)
327 def __init__(self, items=None, tfms=None, tls=None, n_inp=None, dl_type=None, **kwargs):
328 super().__init__(dl_type=dl_type)
--> 329 self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
330 self.n_inp = ifnone(n_inp, max(1, len(self.tls)-1))
331
/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in <listcomp>(.0)
327 def __init__(self, items=None, tfms=None, tls=None, n_inp=None, dl_type=None, **kwargs):
328 super().__init__(dl_type=dl_type)
--> 329 self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
330 self.n_inp = ifnone(n_inp, max(1, len(self.tls)-1))
331
/usr/local/lib/python3.7/dist-packages/fastcore/foundation.py in __call__(cls, x, *args, **kwargs)
95 def __call__(cls, x=None, *args, **kwargs):
96 if not args and not kwargs and x is not None and isinstance(x,cls): return x
---> 97 return super().__call__(x, *args, **kwargs)
98
99 # Cell
/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in __init__(self, items, tfms, use_list, do_setup, split_idx, train_setup, splits, types, verbose, dl_type)
253 if do_setup:
254 pv(f"Setting up {self.tfms}", verbose)
--> 255 self.setup(train_setup=train_setup)
256
257 def _new(self, items, split_idx=None, **kwargs):
/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in setup(self, train_setup)
275 for f in self.tfms.fs:
276 self.types.append(getattr(f, 'input_types', type(x)))
--> 277 x = f(x)
278 self.types.append(type(x))
279 types = L(t if is_listy(t) else [t] for t in self.types).concat().unique()
/usr/local/lib/python3.7/dist-packages/fastcore/transform.py in __call__(self, x, **kwargs)
71 @property
72 def name(self): return getattr(self, '_name', _get_name(self))
---> 73 def __call__(self, x, **kwargs): return self._call('encodes', x, **kwargs)
74 def decode (self, x, **kwargs): return self._call('decodes', x, **kwargs)
75 def __repr__(self): return f'{self.name}:\nencodes: {self.encodes}decodes: {self.decodes}'
/usr/local/lib/python3.7/dist-packages/fastcore/transform.py in _call(self, fn, x, split_idx, **kwargs)
81 def _call(self, fn, x, split_idx=None, **kwargs):
82 if split_idx!=self.split_idx and self.split_idx is not None: return x
---> 83 return self._do_call(getattr(self, fn), x, **kwargs)
84
85 def _do_call(self, f, x, **kwargs):
/usr/local/lib/python3.7/dist-packages/fastcore/transform.py in _do_call(self, f, x, **kwargs)
87 if f is None: return x
88 ret = f.returns(x) if hasattr(f,'returns') else None
---> 89 return retain_type(f(x, **kwargs), x, ret)
90 res = tuple(self._do_call(f, x_, **kwargs) for x_ in x)
91 return retain_type(res, x)
/usr/local/lib/python3.7/dist-packages/fastcore/dispatch.py in __call__(self, *args, **kwargs)
121 elif self.inst is not None: f = MethodType(f, self.inst)
122 elif self.owner is not None: f = MethodType(f, self.owner)
--> 123 return f(*args, **kwargs)
124
125 def __get__(self, inst, owner):
<ipython-input-37-5c1b39903303> in create(cls, fn, *args, **kwargs)
36 #staticmethod
37 def create(cls,fn:(Path,str), *args, **kwargs)->None:
---> 38 return cls(load_raw_image(fn, *args, **kwargs))
39
40 def show(self):
/usr/local/lib/python3.7/dist-packages/fastcore/meta.py in __call__(cls, x, *args, **kwargs)
60 if hasattr(cls, '_new_meta'): x = cls._new_meta(x, *args, **kwargs)
61 elif not isinstance(x,getattr(cls,'_bypass_type',object)) or len(args) or len(kwargs):
---> 62 x = super().__call__(*((x,)+args), **kwargs)
63 if cls!=x.__class__: x.__class__ = cls
64 return x
TypeError: __init__() takes 1 positional argument but 2 were given
