I have seen different options, but what is the best way to get 4 camera feeds into a C++ application for postprocessing and then feeding them to a ML model in the RB5?
And would you be able to provide examples to illustrate your suggestions?
Thanks in advance.
Hi 22imonreal,
Let me check with SNPE application engineers and then give your suggestion
Thanks
Kevin
Hello, and thank you for your answer.
Would you mind provinding an example of how I would go about doing each of the steps you mentioned above?
Example commands, or example projects or scripts, any hints would be very much appreciated.
Thank you in advance.
Kind regards.
Hi 22imonreal
There are not exact sample code for 4 cameras stream input for SNPE network application in SNPE SDK.
The steps are suggestion for you to develop your application.
Thanks
Kevin
Hello,
Would you be able to provide some code showing how store the 4 cameras output tensor to one USERBUFFER tensor with 4 batch size?
Thanks
Hi Csutomer,
we do not have smaple code for above use case and RB5 does not support opening 4 cameras at the same time.
Regards,
Mita
Okay, but how would I store the 4 (or however many the RB5 can open simultaneously) cameras output tensor to one USERBUFFER tensor with 4 batch size?
PLEASE, DON'T IGNORE MY QUESTIONS (SEE ABOVE)
hello customer,
This parallel method is available on our device. There is an API in snpe tools for testing.If you downloaded the snpe source code, you can find this API in this directory /doc/html/tools.html snpe-throughput-net-run.