Hello,
I am working with the STM32N6570‑DK discovery kit and using the ST Edge AI Developer Cloud to generate code for my neural network. The tool produces a project with multiple files (model, runtime, headers, etc.), but I am struggling to understand how to actually integrate this into my STM32N6 application.
Specifically, I would like to know:
What is the expected input format (tensor dimensions, quantization type) and how do I feed my sensor/camera data into it?
How do I retrieve the output from the inference (classification vector, bounding boxes, etc.) and use it in my application logic?
How should I connect the generated code with my application (main loop, data acquisition from camera/audio, etc.)?
I have looked through the STM32N6 examples and documentation, but they don’t clearly explain how to bridge the generated AI code with a working application. Any guidance or pointers to documentation/examples would be greatly appreciated.
Thanks in advance!
