Hi Odo,
I understand that you would like to visualize the neural network architecture of 'maskrcnn' and display its trained weights.
To visualize the neural network architecture of 'maskrcnn' , you can utilize a function called ‘analyzeNetwork’.
This function helps in visualizing the network's architecture. To find the trained weights of the network, you can iterate through each layer.
Here is the sample code for your reference:
maskobj= maskrcnn("resnet50-coco");
layers = maskobj.Layers;
analyzeNetwork(layers);
for i = 1:numel(layers)
layer = layers(i);
if isprop(layer, 'Weights')
disp(['Layer ', num2str(i), ' Weights:']);
disp(layer.Weights);
end
if isprop(layer, 'Bias')
disp(['Layer ', num2str(i), ' Bias:']);
disp(layer.Bias);
end
end
Here is the documentation link for the function ‘analyzeNetwork’:
hope this helps!
