MATLAB: Coder: Create a Makefile for Linux from Windows.

matlab coder

I have the situation where I am the *unix user, and I get C generated from Matlab Coder that is designed for Windows. The signal procesing group verifies the code on Windows, and then I end up with the libraries. I end up updating the Makefile, by hand, to compile the code.

Is there a way for Coder to create a Makefile for both Linux and Windows?

Best Answer

Unfortunately there is not a good way to achieve this with MATLAB Coder today. We've made an internal note of your request so we can sondier it for future releases of MATLAB Coder.

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MATLAB: I wants to generate cuda code using gpu coder for jetson xavier!

Hi DaHoon,

From the error log

STDERR: /bin/sh: 1: nvcc: not found

This seems to be an environment setup issue as the codegen is unable to find the nvcc compiler.

Please follow the steps at the link here to setup the environment variables correctly to point to the cuda root directory:

https://www.mathworks.com/help/supportpkg/nvidia/ug/install-and-setup-prerequisites.html#mw_17f54c5e-4bef-4316-bbdb-de61bf2f0c17

Please follow the example .bashrc file to ensure that codegen is able to remotely compile on the Jetson Xavier board.

Hari

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Hi Alvaro,

I believe the issue is due to the line below,

cfg.CustomInclude = fullfile('/usr/include/opencv4');

For hardware deployment workflow, cfg.CustomInclude prepends the host working directory structure to create the following structure

-I/home/alvaro/remoteBuildDir/MATLAB_ws/R2019b/usr/include/opencv4 
-I/home/alvaro/remoteBuildDir/MATLAB_ws/R2019b/usr/include/opencv4/opencv2

Rather than,

-I/usr/include/opencv4 
-I/usr/include/opencv4/opencv2

To resolve the issue you can try one of the two approaches

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function out = segnet_predict(in)
%#codegen
% A persistent object mynet is used to load the DAG network object.
% At the first call to this function, the persistent object is constructed and
% setup. When the function is called subsequent times, the same object is reused 
% to call predict on inputs, thus avoiding reconstructing and reloading the
% network object.
% Update buildinfo with the OpenCV library flags.
opencv_link_flags = '`pkg-config --cflags --libs opencv`';
coder.updateBuildInfo('addLinkFlags',opencv_link_flags);
coder.updateBuildInfo('addIncludePaths', '/usr/include/opencv4/');
persistent mynet;
if isempty(mynet)
    mynet = coder.loadDeepLearningNetwork('SegNet.mat');
end
% pass in input
out = predict(mynet,in);

Hari

Best Answer

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MATLAB: I wants to generate cuda code using gpu coder for jetson xavier!

MATLAB: GPU Coder Error with OpenCV

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