greetings!
Continuing my studies on MCU STM32, I am dedicating myself to STM32N6.
I need to learn how to develop an application that in its first stage will monitor noise and classify it with a neural network type CNN. I have already made a simulator with Python, and a converter of the model's H5 file to tinyML, thus creating a header file (.h) with the neural network model. Now I need to learn how to put it on the stm32N6 and thus classify the noises captured with the STM32N6-DK microphone.
In the second stage, I need to develop a CV (Computer Vision) to identify the silhouette of an object and center it, the equipment will be installed on a rover with omni wheels that will move to position the audio pickup prepared in the first stage.
I looked at the examples that come with cubemx, but I didn't find anything related to the use of CV and NN.
Could you tell me where I can get more advanced examples for STM32N6 that use computer vision and neural networks, especially CNN?
Thanks for the help.
