Deepstream Jitter Problem

[leviethung1280]

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU)
• DeepStream Version 6.0
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only) 450.0
• 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)

I’ve tried this solution and it worked perfectly.
“For RTSP streaming input, if the input has high jitter the GStreamer rtpjitterbuffer element might drop packets which are late. Increase the latency property of rtspsrc , for deepstream-app set latency in [source*] group. Alternatively, if using RTSP type source (type=4) with deepstream-app , turn off drop-on-latency in deepstream_source_bin.c . These steps may add cumulative delay in frames reaching the renderer and memory accumulation in the rtpjitterbuffer if the pipeline is not fast enough”

However, by the time, the delay for the streaming continue to increasing.

How can we reduce the overall delay or release the buffer in order to address the jitter problem with an RTSP stream?

[yuweiw]

Could you attach your whole pipeline?

[leviethung1280]

[leviethung1280]

here is the simple pipeline.

[leviethung1280]

If I configure the udp-buffer-size, the problem will be resolved or not ?

[leviethung1280]

Here is the problem

[yuweiw]

If you want real-time performance, you have to adjust it through dropping packets. You need to make a choice between real-time performance and packet loss for a jitter streaming.

[leviethung1280]

Thank you for your reply. Currently, I’ve fixed the issue :D.

[yuweiw]

Glad to hear that. If possible, you can post your solution here for others to refer to.

[leviethung1280]

Of course, because of the limited of bandwidth or network problem, I just change the drop-interval-frame=2. It worked perfectly for my case.