Hello!
Is there any way to mux streams using nvstreammux after demuxing (nvstreamdemux)? Does the nvstreammux rewrite the metadata?
**• Hardware Platform ** GTX 1060
• DeepStream Version 4.0
• TensorRT Version 6.0
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Hi
Sorry for a late,
Is there any way to mux streams using nvstreammux after demuxing (nvstreamdemux)?
→ it should work, you may refer to test1 sample to see how streammux linked with other comonent,
more info about nvstreamdemux, please see this,
Does the nvstreammux rewrite the metadata?
→ The basic metadata structure NvDsBatchMeta starts with batch level metadata, created inside the Gst-nvstreammux plugin. if your upstream coponent have NvDsUserMeta, it will be get and transformed in nvstreammux, details see this,
Hi amycao,
But what if basic metadata structure already created? I want to have 2 nvstreammux plugins in the pipeline. I create batches from 8 streams using nvstreammux. The first 3 streams have to be processed only by nvinfer before sending the data, but other streams have to continue batch processing. So I think about splitting the streams using nvstreamdemux plugin and merging the last 5 of them into batches again (nvstreammux). Is it possible or is there a better way?
How about the other 5 streams? getting processed by nvinfer or not?
Yes, all 8 streams have the shared nvinfer processing part before the demuxing. After the second muxing the 5 streams will be processed by nvinfer and my plugins.
I am sorry to say it seems it’s impossible to seperate 3 streams and other 5 streams into different branch with one of branch to take the 5 streams muxing into one buffer and then other processing…
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Hi,
can I ask you if you found any solution? I am faced to the similar problem. If I link nvstreamdemux with nvstreammux in my pipeline, only the first frame is processed and then the pipeline is stucked without any error.
Is it really impossible?