for real-time object detection I installed Jetpack 4.2.3 (including Deepstream and TensorFlow) and YOLOv3 / darknet (https://github.com/AlexeyAB/darknet) with
on Jetson AGX Xavier.
To reach a higher framerate I reduced input width and height in yolov3.cfg and set on MaxN Power Mode.
For the input size I tested some values between 32 to 416, and yolov3 reaches 30 FPS at 288 x 288 or lower.
No my question is, if there are others ways how the framerate could be increased. For example in the following post is written, that sbd had around 50 FPS.
I read that in some networks is the possibility to change from FP32 to FP16 or INT8. Is there a posiibility to do that in yolov3?
Or does someone has other ideas how I could reach more FPS?
(I know I could change to tiny-yolov3, but I have to use yolov3)
I am thankful for any ideas, because I am a bit confused with understanding everything.