Hi, I have a pipeline that first runs an object detection neural network and then feeds its detections to an object tracker node. Since the network doesnt achieve ~30 FPS I would like to get more frequent updates from the tracker based on short term predictions.

In the documentation I've found the statement … tracker can provide tracklets when there as no inference, so the wholse system can run at 30FPS. As suggested in the documentation, I've tried using the dai.TrackerType.SHORT_TERM_KFC to get more frequent updates, but to no avail. Are there any additional settings that need to be set here?

    Hi Stn73

    • Try using SHORT_TERM_IMAGELESS
    • try linking the camera directly to the trackerFrame and detectionFrame

    See if it improves your FPS.
    Also make sure the camera is able to produce frames fast enough.

    Thanks,
    Jaka

    Thanks, I will try that out!