PYNQ: PYTHON PRODUCTIVITY

Ultra96v2,dpu have died

Hello,I use Ultra96v2 and vitis ai to deploy my model. I can quantify and compile my model,and dpu can run normally.
But once the model input image local brightness is high, when I run “n2cube.dpuRunTask(task)”, the Jupyter will remind me:The kernel appears to have died. It will restart automatically.
I suspect that when the model is quantized, the quantization factor is too large, which leads to the overflow when the brightness is too high.
But how can I fix it?
My pynq-dpu is v2.5, vitis ai is v1.1.

If you look in /var/log/jupyter.log there may be more details on why the kernel died.

Peter

Hello, this is the error:
[DNNDK] Invalid pixel value of input tensor: 5782

I’ve done this: [DNNDK] Invalid pixel value of input tensor - Community Forums
but it still prompts for errors.
If I don’t multiply the input scale, the error is:
[DNNDK] Invalid pixel value of input tensor: 128

So, what should I do?

This is my problem: [DNNDK] Invalid pixel value of input tensor - Community Forums