Hello, I am using Deepsteam 5.0 (python apps) with my custom yolov3 tiny weights to detect objects from a video with the primary detector. my question is how can i use secondary detector and what changes has to be made in python program to run secondary detector which is a yolo model.
Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) • DeepStream Version • JetPack Version (valid for Jetson only) • TensorRT Version • NVIDIA GPU Driver Version (valid for GPU only) • Issue Type( questions, new requirements, bugs) • How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing) • Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
Platform - Jetson Nano
Deepstream SDK - 5.0
TensorRT - 7+
I know back to back detector is used for secondary detection in a C++ example. how to use back to back detectors in python. and why is back to back detector example so slow on Jetson nano? or am I doing something wrong.
Yes 2-3 fps at max. It stutters once it finds a car and then again stutters to find a numberplate. And why can I only pass a .h264 file and not a MP4 file