from handlers.model_builder import Nima

nima = Nima('MobileNet', weights=None)
nima.build()
nima.nima_model.load_weights('../models/MobileNet/weights_mobilenet_aesthetic_0.07.hdf5')
nima.nima_model.summary()

<ipython-input-5-635740cf9285> in <module>()
----> 1 base = mobilenet.MobileNet(input_shape=(224, 224, 3), include_top=True, weights='weights_mobilenet_aesthetic_0.07.hdf5')

path-to-keras\keras_applications\mobilenet.py in MobileNet(input_shape, alpha, depth_multiplier, dropout, include_top, weights, input_tensor, pooling, classes)
    322         model.load_weights(weights_path)
    323     elif weights is not None:
--> 324         model.load_weights(weights)
    325 
    326     if old_data_format:

path-to-keras\keras\engine\network.py in load_weights(self, filepath, by_name, skip_mismatch, reshape)
   1159             else:
   1160                 saving.load_weights_from_hdf5_group(
-> 1161                     f, self.layers, reshape=reshape)
   1162 
   1163     def _updated_config(self):

path-to-keras\keras\engine\saving.py in load_weights_from_hdf5_group(f, layers, reshape)
    913                                                        original_keras_version,
    914                                                        original_backend,
--> 915                                                        reshape=reshape)
    916         if len(weight_values) != len(symbolic_weights):
    917             raise ValueError('Layer #' + str(k) +

path-to-keras\keras\engine\saving.py in preprocess_weights_for_loading(layer, weights, original_keras_version, original_backend, reshape)
    672             weights[0] = np.reshape(weights[0], layer_weights_shape)
    673         elif layer_weights_shape != weights[0].shape:
--> 674             weights[0] = np.transpose(weights[0], (3, 2, 0, 1))
    675             if layer.__class__.__name__ == 'ConvLSTM2D':
    676                 weights[1] = np.transpose(weights[1], (3, 2, 0, 1))

path-to-numpy\numpy\core\fromnumeric.py in transpose(a, axes)
    596 
    597     """
--> 598     return _wrapfunc(a, 'transpose', axes)
    599 
    600 

path-to-numpy\numpy\core\fromnumeric.py in _wrapfunc(obj, method, *args, **kwds)
     49 def _wrapfunc(obj, method, *args, **kwds):
     50     try:
---> 51         return getattr(obj, method)(*args, **kwds)
     52 
     53     # An AttributeError occurs if the object does not have

ValueError: axes don't match array