When I use ./webodm.sh start --gpu I get at most 3/5 of the webodm containers running under container view in docker. At times I get none running. The nodeodm.gpu container never runs.
I am still able to open the webodm ui though. Just after starting to processing, docker always exits. The process will continue to finish. I get “nvidia-smi detected, using GPU for sift extraction” in the process log. I see GPU usage when I run qnvsm.
When I run ./webodm.sh start, I get 5/5 containers running. Docker doesn’t exit and the process proceeds to completion. The most strange thing is that it processes faster than ./webodm.sh start --gpu.
Pc Specs: 64g ram, geforce rtx 3070 VGA, i7 gen11 cpu, Ubuntu 22.04
Is everything up to date?
Can you use a utility like topgrade to ensure your system, firmware, docker images, et al are all current?
Thank you for your sincere support
I ran topgrade
When i run ./webodm.sh start --gpu, i get
It only starts when i add sudo. I still get only 3/5 containers running. the gpu container doesnt run.
Thanks once again.
Mmm… Could you please provide me with the output of this command :
uid=1000(uav04) gid=1000(uav04) groups=1000(uav04),4(adm),24(cdrom),27(sudo),30(dip),46(plugdev),109(kvm),122(lpadmin),134(lxd),135(sambashare),138(libvirt),999(docker)
Can you try adding your user to the video group, reboot, and try again?
After adding user,
Also after adding user, when i run nvidia-smi i get:
NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running
These are the log files for each process
GPU.pdf (1.9 MB)
CPU.pdf (3.7 MB)
I managed to get 5/5 containers running when I run ./webodm.sh start --gpu.
I replaced docker desktop with docker engine 20.10.17.
Running webodm with --gpu now processes faster than with CPU only.
The problem is that the gpu process is just about 3mins faster than CPU on 1000 images. I need help to fix that.
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