Hi,
Greetings of the day !
I’m working with deepstream-python with DGPU , deepstream version 6.1.1
My concern is suppose I have cam1,cam2,cam3 and cam4 total four cameras. for cam1 and cam2 I’m running suppose face model and for cam3 and cam4 I’m running vehicle , and each camera is a different stream ! But what happens is cam1 and cam2 feed is coming for cam3 and cam4 with vehicle detection Why this is happening and how we can solve it !
Not very sure what the problem is, can you elaborate the camera relation and issue you are facing? Please share the pipeline you are using, thanks.
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My pipeline looks like this and
the pipeline now I’m showing it’s for 3 cams 2 cams for 1st pgie model and 3rd cam 2nd pgie model …
Have you tried the c/c++ sample NVIDIA-AI-IOT/deepstream_parallel_inference_app: A project demonstrating how to use nvmetamux to run multiple models in parallel. (github.com)?
Please configre NVIDIA-AI-IOT/deepstream_parallel_inference_app: A project demonstrating how to use nvmetamux to run multiple models in parallel. (github.com) according to your pipeline post here and let us know your configurations.
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I able to understand my problem and solve it !
Thanks for your time.
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