Hi again @dusty_nv
Ok, what I’m looking for is to use the Transfer Learning Toolkit to train a custom dataset for deployment on the Jetson Nano.
What I’m having trouble with is how to the make practical use of detections. If I run inference and detect a road sign, how can I then play e.g an .mp3/.wav, or access the GPIO-pins to turn on a LED
I know it’s possible from Coding Your Own Object Detection Program but what if you have a much larger custom dataset? I also want inference to run as close to real time as possible.
Is TensorRT something that can be of use for solving this?
Maybe I am approaching this the wrong way and TLT is not the way to go?
I’m stuck! :)
Thank you,