how can i give input data of machine leaning model that has been changed to mex file to be deployed on raspberry pi?

,i have SVM model that has been trained by classfication Learner app and i have used matlab to coder to convert to mex file but i dont know how to pass input data when deploying to matlab to test the model on matlab using the matlab raspberry pi support tool .Most work that i see with proper exaples are of deep learning ,can anyone help with this .

Answer 1

[MathWorks MATLAB Hardware Team]

Hi,

You can consider referring to following examples where it describes about passing inputs to the binary generated on Raspberry Pi,

https://in.mathworks.com/help/coder/ug/code-generation-and-deployment-of-mobilenetv2-network-to-a-raspberry-pi.html

https://in.mathworks.com/help/matlab/supportpkg/classify-image-received-over-ssh-in-raspberry-pi.html#ClassifyImageOnRaspberryPiViaSSHWithResNet50AndOpenCVExample-9

Please feel free to contact our technical support if you need further assistance.

https://www.mathworks.com/support/contact_us.html

Thanks,

MATLAB Hardware Team

MathWorks