Differences between streammux and new_streammux

Accelerated Computing Intelligent Video Analytics DeepStream SDK
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Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
• 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 am curious about the major differences between old_streammux and new_streammux in DeepStream. Specifically, I am wondering if, in the old version of streammux, all cameras (for example, 4) had to be set to the same frame rate (fps), and in the new version, can each camera have different fps, allowing for independent streaming tailored to the fastest camera?

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The two nvstreammux plugins are similar. The biggest difference is that the new streammux can’t accept videos with different resolutions. The second difference is that the new nvstreammux can handle audio batch.

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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

The relationship of the input videos’ FPS and nvstreammux/new nvstreammux, please refer to DeepStream SDK FAQ - Intelligent Video Analytics / DeepStream SDK - NVIDIA Developer Forums

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