I have a YOLOv4 trained with a custom dataset and y pretend to use a Jetson Nano to detects and count through tracking a specific type of objects (just one class).
I tried the Sort tracking algorithm GitHub - abewley/sort: Simple, online, and realtime tracking of multiple objects in a video sequence. which seems work well for my purpose task. So I have a YOLO + Sort solution for my task.
Now is time to try it on jetson nano. I am beginner in this field of embedded system and after a long searching i found 3 methods to try, OPENCV (+ cuda), DeepStream for Jetson inference repository.
What’s the main reason to select one of them? What’s your suggestion? I am open to select others networks and tracking methods for count my class.