How to keep high accuracy NVDCF tracker for Gstreamere pipeline time-consuming?

[LoveNvidia]

• Hardware Platform (Jetson / GPU):Jetson
• DeepStream Version: 5.0
• JetPack Version (valid for Jetson only):4.4
• TensorRT Version: 7.1

Hi all,
I used tlt_model+nvdcf_tracker+custom_model in the Gstreamer pipeline of deepstream.
The latency of these two pipeline are:
1- tlt_model+nvdcf_tracker = 10 ms
2- tlt_model+nvdcf_tracker+custom_model = 20 ms

In the pipeline 1, the NvDCF tracker has good accuracy, but in the pipeline 2 because the latency is increased and this cause to occurred dropping accuracy for tracker and the numbers of ID tracker higher than reality.
The one solution can be to separate the tlt_model+nvdcf_tracker with custom_model in the gstreamer pipeline.

Is it possible to do this with queue element between two parts? How to solve this problem?

[Fiona.Chen]

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

@LoveNvidia

but in the pipeline 2 because the latency is increased and this cause to occurred dropping accuracy for tracker and the numbers of ID tracker higher than reality.

Can you elaborate this part? Are you using live source? Which tracker are you using? What is your parameters with your tracker and other part of the deepstream pipeline (e.g. nvinfer parameters and properties with tlt_model)?