Problems encountered when using X-CUBE-AI to compile YoloV8 on STM32U5

[Sunwaz]

I used JPG photos for training. So, after integrating it into the STM32U5 using X-CUBE-AI, what kind of data should I use for verification?

Used RGB565?YUV?

I have tried using JPG data, but it didn't work.

[Sunwaz]

Can anyone help me? If there's anything you don't understand, I can provide more descriptions.

[Julian E.]

Hello @Sunwaz,

 

Are talking about the way to use data in the main.c or in the GUI of X Cube AI.

 

You trained a model in python right? Being jpg or anything else don't matter. It was treated as a array of a certain size, which is your model input size (for example 124x124x3).

 

When providing data in your code, you need to fill a buffer of that size.

 

have a good day,

Julian

[Sunwaz]

Hi @Julian E. 

     Thank you very much for your reply.

     This is a schematic diagram of my model. From it, I can see that the input is a 96 * 96 * 3 array of S8. At this time, should I enter RGB888 or RGB565 in my code? When I trained, looking at the information of the JPG got a color depth of 24bits. My understanding is that an array in RGB888 format should be passed here. I don't know if my understanding is correct.

   have a good day,

  Sunwaz