this post was submitted on 01 Sep 2024
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If you can use the openvino stuff, you can skip the coral.
I actually saw a performance improvement moving from the coral to the openvino/iGPU, amusingly enough.
I could do that, but I don't know if the iGPU of my i7 8700 is good enough. Even then, if it means taking load off my CPU I think it would be worth it.
8th gen is perfectly fine; it's the same GMA 630 that's in my 10850k which is doing 4 cameras without even breaking a sweat.
I might try this then. How do you run openvino, is it included in the docker container, or is it external?
Just a configuration option for Frigate, https://docs.frigate.video/configuration/object_detectors/
Other than picking that type, I don't think I had to make any other configuration changes as I was already passing the iGPU through to the container for hardware acceleration.
(As a side note, even with openvino, 4 cameras using the hardware decoding, AND jellyfin transcodes, the iGPU basically sits at 5% usage. The openvino stuff is shockingly efficient.)
That's great to hear. I will have the exact same usage you say (jellyfin transcodes, camera decoding and openvino). Thanks for the info!
I put a passively cooled GT1030 in mine and its doing the decoding & tensorrt detection for 4x 1080p cameras just fine, based on its current load I expect I could add another 4.
I couldn't tell you if that specific Amcrest camera will work, but I have 2 of the recommended ones on the frigate docs (https://www.amazon.com/gp/product/B083G9KT4C/) and they work.