Ssd_keras: keras 2.0 concat error in ssd.train ipython

[zhyhan]

When I code the ssd.train.ipython in notebook, the follwing error will appear, i has upgrade the keras 2.0 version:
ValueError: "concat" mode can only merge layers with matching output shapes except for the concat axis. Layer shapes: [(None, 38, 38, 512), (None, 19, 19, 1024), (None, 10, 10, 512), (None, 5, 5, 256), (None, 3, 3, 256), (None, 1, 1, 256)]

[rykov8]

@hzycn you need to rename get_output_shape to compute_output_shape in custom layers. However there might be other issues, as the implementation was not tested with Keras 2 api.

[zhyhan]

Thank you @rykov8 , I changed the get_output_shape to computer_output_shape in
ssd_layers.py, but it still appears same issues.

[rykov8]

@hzycn is it a missprint in your comment? You need compute_output_shape, not computer_output_shape

[sruu72]

Works after @rykov8 suggestion implemented, and it seems to be only necessary change.

[BenMacKenzie]

i'm having the same issue. not sure i am interpreting the suggested fix correctly though:

in Class PriorBox

change:
def get_output_shape_for(self, input_shape):
to
def compute_output_shape_for(self, input_shape):

???

[rykov8]

@BenMacKenzie not exactly. You need to rename

def get_output_shape_for(self, input_shape):
    ...

to

def compute_output_shape(self, input_shape):
    ...

It's just a Keras 2.0 change in API.