I am running yolov8 on the Jetson Nano for a real-time object detection project.
In order to get yolov8 on the Jetson Nano I had to download python3.8. With this I was able to get it running.
The only problem was that the program ran incredibly slowly. So I wanted to run yolov8 on the Jetson Nano’s GPU.
After doing some research I realized that the Jetpack SDK for the Jetson Nano (4.6) was not compatible with the pytorch version that is compatible with python3.8 as seen in this PyTorch for Jetson.
So could I just ignore the fact that it needs Jetpack 5.0 and go ahead with Pytorch version 1.11.0 because it is the oldest version that supports python 3.8? Or is there a different means to get CUDA support for yolov8 on the Jetson Nano?
Any help would be appreciated!
Also, to get yolov8 running on the Jetson Nano I used this tutorial:
Alright, just to clarify so if I go in and build PyTorch 1.11.0 in my virtual env, I could possibly run yolov8 with cuda support? It won’t screw anything up right?