Motioneye using huge cpu #2382

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opened 2026-02-28 01:10:53 -05:00 by deekerman · 1 comment

deekerman commented

2026-02-28 01:10:53 -05:00

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Originally created by @antonical on GitHub (Apr 13, 2023).

Motioneye docker running on an EXSI host with 8 x Xeon E-2650 Cpu's all cpu's maxed at 100% all the time. Not recording. 6 cameras are connected.

Is this normal?

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Spart

Originally created by @antonical on GitHub (Apr 13, 2023). Motioneye docker running on an EXSI host with 8 x Xeon E-2650 Cpu's all cpu's maxed at 100% all the time. Not recording. 6 cameras are connected. Is this normal? Cheers Spart

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2026-02-28 01:10:53 -05:00

deekerman commented

2026-02-28 01:10:55 -05:00

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@MichaIng commented on GitHub (Apr 15, 2023):

It all depends on hardware acceleration, which might be not made available for VM guests. Not sure what ESXi is capable of but check whether you find and enable GPU acceleration settings for VMs.

Also use tools like htop to find our which exact process is causing this high load.

Should be the case, but might be worth to test whether the bare metal install (instead of Docker) works better. A Python module should be trivial enough to install so that Docker IMO has not really any benefit, as long as you do not have a specific reason to require the additional sandboxing.

@MichaIng commented on GitHub (Apr 15, 2023): It all depends on hardware acceleration, which might be not made available for VM guests. Not sure what ESXi is capable of but check whether you find and enable GPU acceleration settings for VMs. Also use tools like `htop` to find our which exact process is causing this high load. Should be the case, but might be worth to test whether the bare metal install (instead of Docker) works better. A Python module should be trivial enough to install so that Docker IMO has not really any benefit, as long as you do not have a specific reason to require the additional sandboxing.

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