Econdary nvinfer\(classification) always outputs the same result after NvTracker

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) t4
• DeepStream Version 7.0
• JetPack Version (valid for Jetson only)
• TensorRT Version deepstrema 7.0 installation guide
• NVIDIA GPU Driver Version (valid for GPU only) 535
• 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)
classifier always outputs the same result because the tracker reuses NvDsObjectMeta and DeepStream skips secondary inference for tracked objects. I need to force the secondary nvinfer to run on every frame instead of caching the classification result. How can I modify the source code to achieve this?

3

Is your pipeline like ...pgie->tracker->sgie...? Since you need to force the secondary nvinfer to run on every frame, could you just remove the tracker in your pipeline?

4

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks.