Hello everyone,
I'm working on a project that requires YOLOv8-Seg for image segmentation, and I’m aiming for inference speeds as close to real-time as possible. I’m currently using a Jetson Nano with JetPack 4.6.1 installed.

I’ve been trying different approaches to optimize performance, but I’m not sure if near real-time speeds are achievable on this setup. If anyone has experience with YOLOv8-Seg or similar segmentation models on the Jetson Nano, I’d appreciate any advice or recommendations on achieving faster inference.

Thank you in advance for your help!

    platform
    Where is the bottleneck? How fast are the frames streaming from the OAK device?

    Thanks,
    Jaka

        platform
        And you wish to achieve more? Which device are you using? Generally IMX378 can not stream more than 60FPS. With NN model running on top, this is probably lower.

        Thanks,
        Jaka

          What kind of program code should be executed to achieve this?