Working on a object detection system to run on the Nano+RP2 camera (or a Pi+RP2 camera+Coral board) and trying to figure out how to get an FPS >= 20.
Thus far, we’ve build a yolov3-tiny model that works very well for our purposes. BUT, with the latest opencv (4.2), we’re only able to get ~ 8 FPS on the Nano. That is a huge improvement from before (which was ~ 2FPS) but we need to do better to make this usuable.
Is it possible to convert yolov3-tiny to Tensor RT? If so, how? And, how to use it with opencv 4.2?
Is there something better we should be looking at besides YOLO? We are most comfortable with PyTorch … so if there is, it would be greatly appreciated to know what it is, what what the best approaches might be for training and inference.
Thanks much! - wg