I trained a Faster RCNN + EfficientNet B1 in TLT and successfuly ran it in DeepStream SDK. But, using python custom app, the obj_meta.confidence always is -0.10000000149011612. How can I solve this?
Steps in DeepStream:
1 - Move deepstream_tlt_apps/post_processor to my PGIE folder
2 - Compile post_processor (CUDA_VER=11.1 make -C post_processor)
3 - Edit config_infer_primary.txt
4 - Build engine with deepstream-app
5 - Run the model (with config_infer_primary.txt and generated engine) in my custom python app
6 - Got -0.10000000149011612 in print(obj_meta.confidence)
I can’t share the python code because it’s private project. But it should appear in any deepstream-test app. I’m getting confidence from others models TLT YOLOv4 + CSPDarknet-53, TLT DetectNet_v2 + Resnet34, converted Darknet YOLOv4, etc.