Background subtractor on Jetson Nano

What are the performance differences in terms of FPS between using the VPI (Vision Programming Interface) and OpenCV for background detection using the GMM (Gaussian Mixture Model) algorithm? Additionally, how do these performances vary when running on a CPU in sequential mode compared to using a GPU in parallel mode?

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Hi,

You can find the VPI performance in the below document:

https://docs.nvidia.com/vpi/1.2/algo_background_subtractor.html#algo_background_subtractor_perf

We don’t have the OpenCV’s performance.
Thanks.

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