[HW Accel Support]: Fresh pull of v13 in Unraid - CUDA initialization failure #9575
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what version of the nvidia driver is installed and what is your docker cli command |
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Nvidia Driver Version: 545.29.06 / NVIDIA GeForce GTX 1050 I don't have a CLI command, I installed it via Community Apps. Hopefully I'm answering that question correctly? |
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you do have cli, the unraid community apps just setup a docker command and you are shown this docker command when you apply changes to the unraid container |
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Perhaps you are looking for the template when it pulls down the container from C.A.?
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no, after you press apply at the bottom it shows you the cli command |
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Thanks for the clarification |
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you need to add |
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S.O.B. That fixed it. She starts now. Question while I have your attention, What do I now do with the `# detectors: cpu1:type: cpunum_threads: 2`Will it automatically utilize the GPU now for detectors or, do I have to specfically put a different line of code in he YML? |
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if you want it to use the GPU for object detection then you should follow https://docs.frigate.video/configuration/object_detectors#nvidia-tensorrt-detector |
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So I should be paying attention to this specific paragraph? |
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Yes |
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So now there is some sort of python error: Segmentation Fault. More than likely it's probably my fault. |
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might be the driver, 535 is recommended version generally |
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...and here I thought keeping everything up to date was the best idea..... |
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I believe 545 is not marked stable yet |
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I'm about to downgrade my driver to get this working or, to see if it IS actually the driver causing these issues. There are multiple v535 drivers:
Do you have a preference in which should be tried? |
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Choosing for #9801 |
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Describe the problem you are having
I had removed the original Frigate container and template and pulled down a "fresh" copy for v13 and installed the NVIDIA Branch when it asked me in Community Apps which branch I wanted to install. So I did not upgrade from 12-13, I started with a new pull down of the container. I have a CUDA capable GPU installed and visibile.
Version
v13
Frigate config file
docker-compose file or Docker CLI command
Installed Via Community AppsRelevant log output
FFprobe output from your camera
Can't access Frigate due to above errorOperating system
UNRAID
Install method
Docker Compose
Network connection
Wired
Camera make and model
Reolink + Amcrest
Any other information that may be helpful
No response
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