Different detection thresholds per input stream

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) GPU
• DeepStream Version 5.1
• JetPack Version (valid for Jetson only)
• TensorRT Version not relevant
• NVIDIA GPU Driver Version (valid for GPU only) not relevant
• Issue Type( questions, new requirements, bugs) questions
• 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)

We are trying to reduce spurious detections in our yolo model by setting different thresholds and min/max values for our classes in inference config file like advised here:

We’d like to be able to define different values for different streams, but it doesn’t seem to be documented anywhere. Is this possible, if so - how? Is there a suggested workaround? All those streams use the same model weights so for performance reasons we’d prefer to avoid starting multiple instances of the application.

Kind regards,

This is not supported now.

These are attributes of nvinfer plugin - Gst-nvinfer — DeepStream 6.0 Release documentation, we provide the nvinfer plugin source code (/opt/nvidia/deepstream/deepstream-6.0/sources/libs/nvdsinfer/), you could custom it by yourself.

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