How to add custom attributes to video frames in the queue

Accelerated Computing Intelligent Video Analytics DeepStream SDK
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Please provide complete information as applicable to your setup.
jetpack 4.6.1
xavier nx
cuda arch 7.2.2
cuda 10.2
opencv 4.1.1
TensorRt 8.2.1.8
cudnn 8.2.1.32
deepstream-app version 6.0.1
DeepstreamSDK 6.0.1
deepstram-python 1.1.1

I need to add a queue after streammux, get the real-time latitude and longitude in this queue and add the latitude and longitude to the data of the video frame, to ensure that when the recognition result is obtained at the end, the obtained latitude and longitude is the relatively accurate latitude and longitude of the current frame

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Is the “latitude and longitude” for the whole frame or for some objects? You can add the "“latitude and longitude” by customizing your own NVIDIA DeepStream SDK API Reference: _NvDsUserMeta Struct Reference | NVIDIA Docs with NVIDIA DeepStream SDK API Reference: _NvDsFrameMeta Struct Reference | NVIDIA Docs or NVIDIA DeepStream SDK API Reference: _NvDsObjectMeta Struct Reference | NVIDIA Docs according to your scenario.

There is NvDsUserMeta customization sample in /opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-gst-metadata-test

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latitude and longitude” for the whole frame

Does it mean that you can only write c++ classes first and then call them on python, and you can’t add them directly through python

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Python is just a script language, the binary under it can be generated by c/c++ or any other language. You can customize user meta binding. deepstream_python_apps/CUSTOMUSERMETAGUIDE.md at master · NVIDIA-AI-IOT/deepstream_python_apps · GitHub

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When I use the camera, the frame_num and batch_id obtained through the frame meta are always 0. Is this because of this design, or is it because my configuration is wrong?

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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

Where did you get the number? After or inside which plugin?

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