Building a Parallel Inference Pipeline in Python. Need the MetaMux plugin in Python bindings to collect all outputs together in unified NvDsMetaData

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

• Hardware Platform (Jetson / GPU) Tesla T4
• DeepStream Version 6.2 (docker image)
• TensorRT Version 8.5.2
• NVIDIA GPU Driver Version (valid for GPU only) 525.85.12

Hi, I’m constructing a parallel inference pipeline in Python. I have 2 branches. I’d like to collect outputs from these branches together in a unified NvDsMetaData. Is there a MetaMux plugin available in Python bindings? If not, how can I build this plugin? Thanks!

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The plugin can be used as it is in python as the other plugins.

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Thanks. I was able to use the MetaMux plugin with: metamux=Gst.ElementFactory.make(“nvdsmetamux” ,“metamux”)

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