Load a model and modify intermediate layers

[jsalbert]

Hi, I am loading a VGG-16 CAM model from json (I attach the json vgg_cam_mod_model.json.zip) with its corresponding weights and I want to edit intermediate layers of the model in order to deal with different image sizes.

I have seen that there is the .pop() function to remove the last layer, but in my case I want to edit the pool size and strides of the 'CAM_pool' layer which is an AveragePooling2D layer, or if it is also necessary the inputlayer, is it possible to do it?

Case of a fixed image

x = np.zeros((1, 3, 720, 1024))

model = model_from_json(open('models/vgg_cam_mod_model.json').read())

Then I have tried:

pool_layer = model.layers[-5] pool_layer.pool_size = [45, 64] pool_layer.strides = [45, 64]

model.summary()
Not doing anything.

model.layers[-5] = AveragePooling2D(name="CAM_pool", trainable=True, dim_ordering="th", pool_size=[45, 64], strides=[45, 64], border_mode="valid")(model.layers[-6])

Error: 'Activation' object has no attribute 'ndim'

I also tried to define the layer as a GlobalAveragePooling2D in the json:
{"class_name": "GlobalAveragePooling2D", "config": {"name": "CAM_pool", "trainable": true, "dim_ordering": "th"}
Error Input 0 is incompatible with layer CAM_fc_flatten: expected ndim >= 3, found ndim=2

Do I have to change also the shape of Input Data Layer?

model.layers[0] = Input(shape=(None, 3, 720, 1024))
Error: 'TensorVariable' object has no attribute 'inbound_nodes'

Thanks for the help!

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[AJwgnr]

Hello,
is there any update on this?

[RamiAwar]

ping

[adrcaraf]

I have done the following for changing Input layer shape of a CNN3D of mine. It seems to be working, but I'm not sure if it allows for the alteration of other params of the configuration successfully.

json_file = open(rnn_name, 'r')
loaded_json_model = json_file.read()
json_file.close()
model = model_from_json(loaded_json_model)
tmp = model.get_config()
tmp['layers'][0]['config']['batch_input_shape'] = (None, depth, height, width, 1)
model = Model.from_config(tmp)