• Hardware Platform (Jetson / GPU): Jetson
• DeepStream Version: 5.1.0
• JetPack Version (valid for Jetson only): 4.5.1
• TensorRT Version: 18.104.22.168
• Issue Type: Question
I want to build a pipeline like this;
There will be three different rtsp sources.
All of them will be inferred with the same detection model.
At this point, pipeline should be split into three. First one will track objects and use classifier models with the detection output came from the first rtsp source. Second one will analyze overcrowding status with the second source outputs. Third one will create heatmap with the output of third source. I am kinda new with the Deepstream and Gstreamer and could not figure out how to build the pipeline. I am trying to find the optimal solution and I do not think creating three pipelines will be efficent.
Thank you in advance for help