Using deepstream5.1-devel docker on dGPU. I am using deepstream-test3 from deepstream_python_apps/apps/deepstream-test3 at master · NVIDIA-AI-IOT/deepstream_python_apps · GitHub and I am experiencing increasing latency when runnning multiple (6 right now) video streams. I have set sink.set_propert…

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 Can you try c sample deepstream-test3-app to test the same case first?

Should these work in Python export NVDS_ENABLE_COMPONENT_LATENCY_MEASUREMENT=1 export NVDS_ENABLE_LATENCY_MEASUREMENT=1 ? I have tried to create Python bindings according to the repositories in that link, but I am getting multiple declaration, syntax errors when trying to include nvds_latency_meta…

[image] pyml: Should these work in Python export NVDS_ENABLE_COMPONENT_LATENCY_MEASUREMENT=1 export NVDS_ENABLE_LATENCY_MEASUREMENT=1 ? No. For python bindings, you can refer to DeepStream SDK FAQ - Intelligent Video Analytics / DeepStream SDK - NVIDIA Developer Forums

Yes, I was referring to these examples in my earlier comment, I can’t even include nvds_latency_meta.h in my code (#include "nvds_latency_meta.h"), while there are no problems including nvds_analytics_meta.h or nvds_tracker_meta.h as in the examples. [image] pyml: I have tried to create Python …

Please resolve build problem with yourself. Such ”error: ‘xxxxxx’ was not declared in this scope“ means the dependent packages(libraries and headers) are not included. Please find with google.

I’ve succesfully created bindings, but I am having another issue. When running program all of user_meta_lists are None (batch_meta.batch_user_meta_list, frame_meta.frame_user_meta_list, obj_meta.obj_user_meta_list). After I export these variables: export NVDS_ENABLE_COMPONENT_LATENCY_MEASUREMENT=…

[image] pyml: batch_meta.batch_user_meta_list is not None anymore, but others are, What do you mean by “but others are”?

I meant other are None (frame and obj user_metas). However now I am able to extract frame latency from batch_user_meta_list but the values are gibberish: source_id=880178798 frame_num=1701065324 comp_in_timestamp=2.79475250126614e-310 latency=0.0 source_id=1701999699 frame_num=1831693665 comp_in_t…

Seems this interface dose not work with python.

Any tips how could I analyze my latency problem, or what else might help?

Latency with python test3

Accelerated Computing Intelligent Video Analytics DeepStream SDK

Fiona.Chen April 26, 2021, 8:42am 3

Can you check whether the following link can help you? DeepStream SDK FAQ - Intelligent Video Analytics / DeepStream SDK - NVIDIA Developer Forums

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