I have got 2 questions:
I successfully managed to run my custom trained retinanet on a Jetson TX2 with the default deepstream-app, after a lot trial and error. At the end I had to set the net-scale-factor to some ‘random’ value for the deepstream-app to output usefull predictions. Now my questions is how to precisely caluclate this value.
I exported my model with 512x864 (H x W) and I run it with an mp4 file with resolution 960x1280 (H x W). How do I calculate the correct value for better results?
My 2nd question is about the bbox-border-color attribute. I can not manage to set it. I have 3 classes and I set the colors like this:
bbox-border-color0=1;0;0;1 bbox-border-color1=0;1;1;1 bbox-border-color2=0;0;1;1
But all boxes are rendered in red.
Thanks for some help and greetings,