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Versions of stm32 ecosystem for NUCLEO-N657X0-Q

whoami
Associate II

Hello ST community!

Currently i'm working on a project based on the stm32 NUCLEO-N657X0-Q which should be delivered very soon .
I followed this article https://community.st.com/t5/stm32-mcus/how-to-build-an-ai-application-from-scratch-on-the-nucleo-n657x0/ta-p/828502 step by step with the same versions of software mentioned but without any results .

I tried using X-Cube AI and the new tool Stm32Cube AI studio but i ended up with a lot of confusion and errors .

I'm planning to stick for now with x-cube ai since the new tool has a lot of bugs to be fixed .

My questions is what are the right versions of the software to use to get a computer vision (Yolo like) to work on my board ?

Thnx!

1 ACCEPTED SOLUTION

Accepted Solutions
hamitiya
ST Employee

Hello @whoami 

Could you describe more what you mean by "a lot of bugs". For NUCLEO-N657X0-Q, I am not aware of any issues with the latest version of STM32Cube AI Studio.

For the S/W version, if you want to work with X-CUBE-AI (10.2.0), you will need

- ST Edge AI Core version 2.2.0

- STM32CubePrg 2.21

- STM32CubeIDE 2.1.0

You can also use models and deployment scripts from ST Model Zoo.

 

Best regards,

Yanis


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hamitiya
ST Employee

Hello @whoami 

Could you describe more what you mean by "a lot of bugs". For NUCLEO-N657X0-Q, I am not aware of any issues with the latest version of STM32Cube AI Studio.

For the S/W version, if you want to work with X-CUBE-AI (10.2.0), you will need

- ST Edge AI Core version 2.2.0

- STM32CubePrg 2.21

- STM32CubeIDE 2.1.0

You can also use models and deployment scripts from ST Model Zoo.

 

Best regards,

Yanis


In order to give better visibility on the answered topics, please click on 'Accept as Solution' on the reply which solved your issue or answered your question.
whoami
Associate II

Hello @hamitiya !

Thank you for reply!

I think the problem is with CubeMX as the community mention.

I used CubeMX 6.16.0 with CubeIDE 2.1.0 and St edge ai 4.0 and i managed to work and the model is giving correct results.

Now I'm struggling with interfacing an STEVAL- 66GYM camera within my project.

I don't have a screen to plot the results on it , just want to store the camera data into memory array will be then passed to a NN model.

Is there any documentation or article to follow for the NUCLEO-N657X0-Q .

Thanks!

Hi @whoami,

 

We are glad to hear that you solved your first issue.

 

Regarding how to use a camera, we don't have a simple tutorial to do it but we have a lot of getting started / package that most likely achieve what you are trying to do.

 

STM32N6-AI | Software - STMicroelectronics

 

I would suggest looking at the image classification getting started, which should be the most straightforward one and probably the "x-cube-n6-camera-capture" that I don't know, but seems to be linked to your question.

 

Have a good day,

Julian


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Hi @Julian E.  ! 
Thank you for your reply !

I consulted this repo https://github.com/STMicroelectronics/x-cube-n6-camera-capture/tree/main and using the binary i managed the camera to work as a webcame , but now i'm trying to build my own project but im finding a problems getting it to work .
I'm trying to find  what configuration should be done through reverse engineering the code of this project. However since this project implements a lot other topics (FreeRTOS , usb ...) im getting stuck within this code .

For now i managed i figured that i should use the pipe 1 for my project but still not getting how to configure these parameters .

 
 

Screenshot 2026-04-08 170410.pngScreenshot 2026-04-08 170459.png

 I had also read this application note AN6211 but still not getting it right 
is ther any simple project that i can consult !

Thnx!

Hi @whoami,

 

I would suggest looking at the cubeN6firmware and the example in it to try to find a simple code for Image Capture. In

STM32Cube_FW_N6_V1.3.0\Projects\STM32N6570-DK\Examples I see a DCMIPP and JPEG examples, they probably contain some help.

 

For the AI part, I would suggest to use CubeAI Studio with your model and generate the code. You will have a simple application that just do a AI inference with random data.

 

Have a good day,

Julian


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