• Hardware Platform: Jetson Xavier NX
• DeepStream Version: 6.1.1
• JetPack Version: 5.0.2
I’m trying to tweak nvtracker according to the DeepStream Developer Guide, mainly
My understanding is that these parameters control the rate/measure of a process which involves increasing the confidence over time: “If the visual appearance of the target objects is expected to vary quickly over time, one may employ a high learning rate for better adaptation of the correlation filter to the changing appearance”.
No matter how much I tweak these parameters, the confidence is getting lower when the object is changing “away” from the initial appearance, and higher when it’s changing “towards” the initial appearance (which makes sense). But I’m not seeing any improvement in confidence when an object is static in visual appearance, even over extended periods.
Any help will be much appreciated.