Import Keras Tensorflow Model into Simulink
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Lucas Ferreira-Correia
on 11 Sep 2020
Commented: Jie Li
on 13 Oct 2021
I've got a trained model from Python, which I need to run on Simulink for my application.
Is it possible to import trained Tensorflow Keras models and implement them in Simulink?
Cheers,
Lucas
0 Comments
Accepted Answer
sruthi gundeti
on 12 Sep 2020
Hi,
You can import your keras network using
net = importKerasNetwork(modelfile)
net = importKerasNetwork(modelfile,Name,Value)
model file can .h5 format ot json format with weights
Then write a entry level function for the imported network
function out = resnetFun(in)
persistent mynet;
if isempty(mynet)
mynet = coder.loadDeepLearningNetwork('resnet50', 'myresnet');
end
out = predict(mynet,in);
You can execute your MATLAB code from within the model to read the input data from your sensor and then pass this data into your Simulink block.
2 Comments
sruthi gundeti
on 7 Jun 2021
VxNet=importKerasNetwork('Network.json','WeightFile','Network.h5','OutputLayerType','regression')
This can import a regression network
More Answers (1)
Fernando Liozzi
on 5 Jun 2021
Hi,
Is it possible to use this method to generate code for a microcontroller in c / c ++? Thank you.
2 Comments
Fernando Liozzi
on 5 Jun 2021
Thanks, yes, is possible, my keras NN is working perfectly in a STM32!
Jie Li
on 13 Oct 2021
Hi, Fernando, Could you post how you put it in the simulink? My code says the importKerasNetwork cannot be used when complie.Thanks
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