Global variable python code simulink
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Hello everyone.
I'm trying to run a python code which uses a neural network in sumlink. It works using the "trick" of "coder.extrinsic" to use pyrunfile("testSimulink.py")
The problem is that this code loads a neural network to analyze an input image, so every time the block in simulink is called, it re loads the neural network, which is too slow for real time applications.
Do you think any idea how to keep the neural network loaded as a global variable or background in the python environment?
The extrinsinc function I'm running looks like:
function y = NNextrinsic(colored)
delete('own\*')
imwrite(colored,'own/myGray.png')
pyrunfile("testSimulink.py")
A = imread("test.png");
A = imresize(A, [720,1280]);
y = A;
And the simulink block is a MatlabFunction block which looks like:
function y = ANNDepth(colored)
z=uint8(ones(720,1280,3));
coder.extrinsic('NNextrinsic');
z=NNextrinsic(colored);
y = z;
Thanks!
4 Comments
Lucas García
on 15 Sep 2022
Edited: Lucas García
on 15 Sep 2022
Hi Jose Daniel,
Here is something you might be able to try. Inside your MATLAB Function Block, you may use pyrun to load the model but declare the variable as persistent. Something like:
persistent model;
if isempty(model)
model = pyrun(<Python code to load model>, 'model');
end
Then, you may pass the model variable to your Python script in pyrunfile.
Hope this helps.
Lucas
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