Deploying a deep learning model on NUCLEO-H753ZI

[Pinagadi_Meghana]

Can anyone please help with the step by step process for deploying a deep learning model on NUCLEO-H753ZI board using STM32CubeIDE and XCubeAI package...
I am not able to do it even after trying multiple times...
please help me through this .... using a video or something... as i tried many solutions here...
Or i can provide the remote access of my system to you... if it is possible... 
It is really urgent and needed... 

[Pinagadi_Meghana]

Please respond mam... it will be really helpful

[Julian E.]

Hello @Pinagadi_Meghana ,

It blocks at 70%, I wait a little bit after that and close it. I don't know if waiting helps, that just what I did and it worked.

Julian

[Pinagadi_Meghana]

I did that too.... but ended with the same error

[Julian E.]

It is very strange...

Can you try to use the dev Cloud instead: Session - ST Edge AI Developer Cloud

• Load you model to the dev Cloud
• Select the STM32 MCU as platform
• Quantize it if not already done and optimize it following the step
• Click to "Go to benchmark"

First try to benchmark it on the STM32h7 Disco or any other powerful board) and tell me if you get an estimation of the inference time.

Then in the last step,

• download the .elf of the project
• Select you board
• flash it to your board with STM32CubeProgrammer and open a serial terminal with a baudrate of 115200 to see if you get metrics via serial of your model running on the board.

If this works, you can download the MX or IDE project to have the sources instead of the .elf firmarwe.

Julian