GPU Coder for jetson nano

Hello everyone,

when we want to generate a Code, we should choose a pretrained net like mobilenetv2() and have an entry-point function for this net, type("mobilenetv2_predict.m"):

% Copyright 2017-2019 The MathWorks, Inc.

function out = mobilenetv2_predict(in)

%#codegen

persistent mynet;

if isempty(mynet)

mynet = coder.loadDeepLearningNetwork('mobilenetv2','mobilenetv2');

end

% pass in input

out = mynet.predict(in);

My question is: what if i train a standalone network for my project?

How can i put it in this function to deploy it on Jetson Nano?

Thank you very much

Answer 1

[Ram Kokku]

Hi Yazan,

Thanks for reaching out. We have many examples showcasing deep learning deployment on jetson. please take a look

Jetson example:

Code Generation for a Video Classification Network - MATLAB & Simulink (mathworks.com)

Mobilenetv2 example:

Code Generation for Deep Learning Networks - MATLAB & Simulink (mathworks.com)

Link to the example page:

GPU Coder — Examples (mathworks.com)