DeepStream Python gets stuck with RTSP stream

We are working on an automated pipeline with Deepstream-python.
The pipeline code is set to auto restart itself with supervisorctl.

Source - RTSP stream from a camera
Inference models - 2
sink - a udp sink to further access the stream via rtsp

But surprisingly, the stream gets stuck with no errors or no logs after a run of few hours. Currently, I am completely clueless about what’s happening.

Can somebody help in the resolution or debugging of this issue?

Also, due to Indian ambient temperatures, the jetson is running at quite extreme temperatures. Here is the screenshot of the JTOP. Can the temperature be a culprit?


Please share the information:
• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• Issue Type( questions, new requirements, bugs)

And do you run on developer kit or your custom board? It should not go to 100C if the thermal solution is working as expected. If you use Jetson Nano developer kit, please try to add a USB fan. See if this improves the stability.

• Hardware Platform (Jetson / GPU) - Jetson Nano
• DeepStream Version - 5.1
• JetPack Version (valid for Jetson only) - 4.5.1
• Issue Type( questions, new requirements, bugs) - Bugs

Its a production module installed on 2gb developer kit, with the fan installed.

So it is Nano 4GB emmc module + Nano 2GB developer kit? Have not seen this combination. Would like to confirm it. Is there a reason to have the hardware combination?

We tried the combination and it seemed to work fine. Can this be the issue? Or anything else that you would like to recommend?

The developer kits of Jetson Nano 2GB ad 4GB are different. Although the deviation is minor, it is not 100% pin to pin compatible. Certain functions may not work if you insert Jetson Nano 4GB to developer kit of 2GB. Are you able to try Jetson Nano 4GB module + 4GB developer kit?

Please check documents about the developer kits:
Jetson Nano 2GB Developer Kit User Guide | NVIDIA Developer