I’m getting the error:
ValueError Traceback (most recent call last)
in
4 num_channels = 3
5
----> 6 unet = unet_model((img_height, img_width, num_channels))
7 comparator(summary(unet), outputs.unet_model_output)
in unet_model(input_size, n_filters, n_classes)
30 # Use the cblock5[0] as expansive_input and cblock4[1] as contractive_input and n_filters * 8
31 ### START CODE HERE
—> 32 ublock6 = upsampling_block(cblock5[0], cblock4[1], n_filters*8)
33 # Chain the output of the previous block as expansive_input and the corresponding contractive block output.
34 # Note that you must use the second element of the contractive block i.e before the maxpooling layer.
in upsampling_block(expansive_input, contractive_input, n_filters)
21
22 # Merge the previous output and the contractive_input
—> 23 merge = concatenate([up, contractive_input], axis=3)
24 conv = Conv2D(n_filters, # Number of filters
25 3, # Kernel size
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/layers/merge.py in concatenate(inputs, axis, **kwargs)
929 A tensor, the concatenation of the inputs alongside axis axis.
930 “”"
→ 931 return Concatenate(axis=axis, **kwargs)(inputs)
932
933
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/base_layer.py in call(self, *args, **kwargs)
924 if _in_functional_construction_mode(self, inputs, args, kwargs, input_list):
925 return self._functional_construction_call(inputs, args, kwargs,
→ 926 input_list)
927
928 # Maintains info about the Layer.call stack.
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/base_layer.py in _functional_construction_call(self, inputs, args, kwargs, input_list)
1096 # Build layer if applicable (if the build method has been
1097 # overridden).
→ 1098 self._maybe_build(inputs)
1099 cast_inputs = self._maybe_cast_inputs(inputs, input_list)
1100
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/base_layer.py in _maybe_build(self, inputs)
2641 # operations.
2642 with tf_utils.maybe_init_scope(self):
→ 2643 self.build(input_shapes) # pylint:disable=not-callable
2644 # We must set also ensure that the layer is marked as built, and the build
2645 # shape is stored since user defined build functions may not be calling
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/utils/tf_utils.py in wrapper(instance, input_shape)
321 if input_shape is not None:
322 input_shape = convert_shapes(input_shape, to_tuples=True)
→ 323 output_shape = fn(instance, input_shape)
324 # Return shapes from fn as TensorShapes.
325 if output_shape is not None:
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/layers/merge.py in build(self, input_shape)
517 shape[axis] for shape in shape_set if shape[axis] is not None)
518 if len(unique_dims) > 1:
→ 519 raise ValueError(err_msg)
520
521 def _merge_function(self, inputs):
ValueError: A Concatenate layer requires inputs with matching shapes except for the concat axis. Got inputs shapes: [(None, 192, 256, 256), (None, 96, 128, 256)]