I am using Deepstream SDK 5.0 and have implemented GSTPipeline in which I am using PeopleNet as my primary detector for person and face detection. I have specified pre_cluster_threshold as 0.25 for the detection model.
Now, I am trying to filter out detected faces and persons bbox based on their confidence value. But when I am extracting the bbox confidence value from its object_meta(NvDsObjectMeta object) it return almost same value for all bboxes and values are also weird like -0.10000000149011612.
While the examples mentioned on the forums compares confidence value to some float values like 0.4, 0.5 …etc which is nothing but the decimal representation of confidence percentage. I am referring deepstream test app 4 for this.
Can anyone suggest if my understanding is correct and if I am using the right approach. If more information need on for further clarification let me know