As for how does hardware limits the input size, would you care to explain a little further? Both our pgie and sgie are yolov3.
Currently, the input size of sgie is 320x320 so the smallest input object size is 20x20. We need to detect objects around 30x12, and it’s detectable on our 1080 ti or simply run inference with darknet on a cpu.
Our entire project runs on a Jetson Xavier so changing hardware platform is quite difficult now. Could anyone gives me some advice on how to pass image this small(~30x12) to sgie (i.e.though modifying DS source code maybe?), or is it merely impossible for a Jetson Xavier/Deepstream combination?
Thanks a lot.