In the example code provided, for the machine learning part, is it does not include the details on how the machine learning algorithm work? how to train the model?
And does SLN-TLHMI-IOT support object detection?
Hi @Bay ,
I also help you to check it with our internal expert.
You can use the pytorch/tensorflow train yourself model, then use the nanoai convert switch to the nanoai module format, the nanoai will generate one .a library, and the project can call the library API as the inference.
Wish it helps you!
Best Regards,
Kerry
Hi @Bay ,
Thanks for your interest in the NXP MIMXRT product, I would like to provide service for you.
SLN-TLHMI-IOT is used for the fact detection, the demo is not support the object detection directly.
But if you train your own model for the object detection, then it will support it.
About the model train, I think you can refer to the eiq:
https://www.nxp.com/design/design-center/software/eiq-ml-development-environment:EIQ?&tid=vaneiq
Wish it helps you!
Best Regards,
kerry