I am using my Jetson Nano to identify objects passing in front of the camera. I’ve trained by own model. The background in always static.
I want to collect images of objects the device can’t recognise, so I can store them for retraining later.
So, I have three states;
Background - do nothing
Object detected - log the details
Something in the frame, that isnt the background, but cant detect it - take snapshot and store for retraining
Is this possible ? Any pointers would be greatly received.