Hi there all,

I am trying to get this model to work, but I don’t understand why it’s not working. What I am missing, what I understand is that the cnn_learning gets the # of classes automatically from data.c


data = ImageDataBunch.from_name_re(path_img, 

learner = cnn_learner(data, models.WideResNet, metrics=error_rate)

TypeError                                 Traceback (most recent call last)
<ipython-input-31-f65b131e20e0> in <module>
----> 1 learner = cnn_learner(data, models.WideResNet, metrics=error_rate)

/usr/local/lib/python3.6/dist-packages/fastai/vision/learner.py in cnn_learner(data, base_arch, cut, pretrained, lin_ftrs, ps, custom_head, split_on, bn_final, init, concat_pool, **kwargs)
     99     meta = cnn_config(base_arch)
    100     model = create_cnn_model(base_arch, data.c, cut, pretrained, lin_ftrs, ps=ps, custom_head=custom_head,
--> 101         bn_final=bn_final, concat_pool=concat_pool)
    102     learn = Learner(data, model, **kwargs)
    103     learn.split(split_on or meta['split'])

/usr/local/lib/python3.6/dist-packages/fastai/vision/learner.py in create_cnn_model(base_arch, nc, cut, pretrained, lin_ftrs, ps, custom_head, bn_final, concat_pool)
     85                      bn_final:bool=False, concat_pool:bool=True):
     86     "Create custom convnet architecture"
---> 87     body = create_body(base_arch, pretrained, cut)
     88     if custom_head is None:
     89         nf = num_features_model(nn.Sequential(*body.children())) * (2 if concat_pool else 1)

/usr/local/lib/python3.6/dist-packages/fastai/vision/learner.py in create_body(arch, pretrained, cut)
     57 def create_body(arch:Callable, pretrained:bool=True, cut:Optional[Union[int, Callable]]=None):
     58     "Cut off the body of a typically pretrained `model` at `cut` (int) or cut the model as specified by `cut(model)` (function)."
---> 59     model = arch(pretrained)
     60     cut = ifnone(cut, cnn_config(arch)['cut'])
     61     if cut is None:

/usr/local/lib/python3.6/dist-packages/fastai/core.py in _init(self, *args, **kwargs)
     64         def _init(self,*args,**kwargs):
     65             self.__pre_init__()
---> 66             old_init(self, *args,**kwargs)
     67             self.__post_init__()
     68         x.__init__ = _init

TypeError: __init__() missing 2 required positional arguments: 'N' and 'num_classes'