Replies: 3 comments 2 replies
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In a CUDA container, to use VAAPI, you must use raw_command or hwaccel_args.
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Which version of Viseron are you running? The v3 beta has upgraded drivers which might resolve this if you are on v2.x |
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I am still on good old v2. So far I have seen these.
I have 12 cameras under 2), each running at 3fps (a few 4fps) motion and darknet object scan. CPU load on htop is normally around 2-5 (out of 12 threads max) and NVIDIA GPU takes only 1 core while the other core seems to be idle most of the time (the screen is hooked up with integrated GPU). For 1), it only runs 3 cameras (each with motion and darknet object) and I hope to explore how far it could go. From htop, it takes only 1-2 out of 19 threads. |
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In my setup in debian linux, I have tried the followings.
Note: In viseron document, it says.
VAAPI hardware acceleration support is built into every amd64 container.
To utilize it you need to add --device /dev/dri to your docker command.
I have added above line but so far I have never seen VAAPI used in the log.
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