Please provide complete information as applicable to your setup.
• Hardware Platform == Jetson
• DeepStream Version == 6.3
• JetPack Version == 35.6.0
• TensorRT Version == 8.5.2.2
• NVIDIA GPU Driver Version == 11.4.315
• Issue Type == new requirements
I have just come into contact with the deepstream application and want to develop some custom functions based on the Deepstream-test5 sample program, and my code runs based on deepstream-test5-app-c my_config.txt. I currently have the following requirements:
- When running deepstream, switch to a custom detection model. I saw that test5 provides OTA, but it requires that the model detection category before and after the switch be consistent with the push size. Excuse me, what should I do?
- When running deepstream, modify the detection confidence threshold and it will take effect in real time.
I would be very grateful to you if you could provide me with a general development idea or plan.