How optimize the custom logic in Deepstream python SDK

[nareshmungpara]

• Hardware Platform (Jetson / GPU) : Jetson Nano
• DeepStream Version: 5.1
• JetPack Version (valid for Jetson only) : 4.5.1
• TensorRT Version : 7.1.3.0

Hello there,

I am using deepstream_imagedata_multistream.py now I want to add some custom logic in this script.

I have already tried it but as soon as I add something fps drops drastically.
I am trying to change tiler_sink_pad_buffer_probe, changing anything in this function it increases the processing time and fps drops.

Is there any optimized way or method to do it?

Thanks,
Naresh Mungpara

[AastaLLL]

Hi,

Could you share the custom logic with us to check?
Since it is a multistream pipeline, please make sure your logic can support number_sources concurrently.

NVIDIA-AI-IOT/deepstream_python_apps/blob/master/apps/deepstream-imagedata-multistream/deepstream_imagedata-multistream.py#L293

Thanks.

[nareshmungpara]

Hello,

While I was going through the code I have worked on num_source. Currently I am working object tracking and for that I have Implemented tracker part in the code for different num_source. Right now it’s working fine. But as it in tiler_sink_pad_buffer_probe function. And that’s why I need more optimized way to intergrate it.

Thank you,
Naresh Mungapara

[AastaLLL]

There is no update from you for a period, assuming this is not an issue any more.
Hence we are closing this topic. If need further support, please open a new one.
Thanks

Hi,

Would you mind sharing the source of your customized tiler_sink_pad_buffer_probe function?
So we can check the performance issue directly?

Thanks.