Hi all,
I need to buy a couple new cameras and am confused about whether to get normal res cams (1080) or a higher res model (2k/4k).
With a higher res camera is the night vision impaired due to it needing more light?
At nigh time I have all my 1080 cams set to colour day mode and have exterior...
Thanks didn't spot that.
All mine had defaulted to 2 triggers in 3 seconds which is a bug (although I haven't read the release notes yet so may have missed something).
Had to go into each camera and each profile to update these. Just toggled down the trigger to 1 and the seconds greyed out...
Unfortunately had to rollback to 5.7.9.12
My motion detection stopped working on 5.8.0. Thought it had been quiet outside for the last 24 hours!
Haven't had time to look into it.
I'm trying to get CPAI working fully on a debian docker container within proxmox. The service is running.
BUT when I try to analyse the images they just sit in the queue 'objectdetection_queue '..
Tried tweaking some settings like network from bridge to host etc.
08:40:08:Started Object...
Last night I moved my BI on dedicated pc with Win10 to a VM on Unraid server using Windows 11 tiny iso.
After some initial issues with getting the GPU passthrough seems to be going ok.
But I cannot seem to get yolo 6.2 cuda working with the GPU. Worked fine on the win10 machine.
So on the 5.2...
Mine is amd based (ryzen 4300g) with proxmox.
As mentioned YOLOv5 6.2 worked fine on the same cpu but windows direct.
yep at least it's working on .net but will look into it further
ah ok - must be a solution somewhere. Mine worked best on 6.2 before I virtualised windows. Mine now is AMD based proxmox.
Ran the Cudnn bat file thingy also. Followed the same installation steps as I did on my original windows.
Any ideas why 6.2 will not work with my gpu gtx970 now?
Works fine on the .NET. This is since I moved to a virtualised windows environment.
Am I missing some files/programs for the cuda to work?
GPU passthrough is fine
well my gpu stopped working with YOLOv5 6.2.. but might be related to the move to a windows vm and passthrough. Not sure yet. v5 .NET is working on gpu luckily
What a couple of days!! Migrating my windows server to proxmox running as a vm and gpu passthrough!! Went through 4 iterations of windows vm's at least.
Blew gaskets trying to get the gpu working gtx970. Used so many guides and found only one worked for my system.
Was that grub line. So many...
Been playing around with vmware exsi 7.
Span up a win 10 vm. Installed bi and codeproject etc
Seems to be stable and lightweight.
Plan is to replace my windows server for this.
Also will run truenas on the host
Just hope I can pass through my gtx970.
Had an amd 4100 I passed through just to...
youtube it. I built one about 3 years ago for deepstack, I don't recall really, was a bit fiddly and took 12 hours to build on an i7 7700. There is an amazon cloud platform I believe you can run it on also
Not sure about CP.
hmm I imagine their model of racoons is kind of limited. Ever looked into making your own model with a collection of your racoons?
and if you exclude dog/cat I guess it won't pick up racoon unless you push many images fast it might identify the occasional one
ah finally got it working on the vm on vmware esxi but using YOLOv5 6.2 set to gpu - though it says cpu - 145 - 215 ms. Not too bad considering the limited resources I assigned to the VM just for testing.
got the gpu passthrough but I do not think it works with CPAI - an old AMD firepro 4100...
I've just span up a new server with VMware esxi hypervisor with a windows 10 VM
Installed CPAI and all is online ready for testing
But when I click detect in the dashboard with an example jpeg no predictions are found. Tried all the models. Something is missing.
These are the trace logs: no...
ah caught something in the alert command line.. I had recently disabled my gateway ports and stopped using ddns and nginx.
Using twingate right now.
I just changed &WAN to &LAN as when I was clicking on the link it was trying to take me to my ddns URL of course! duhh
Lets see if that helps -...
How did you change the size? Mine doesn't give me the option next to module.
Perhaps that's why it's not working as it is not being picked up by codeproject but it is in windows under usb devices.
With the frigate I found using a higher resolution improved the accuracy greatly. The developer confirmed it would also even though frigate captures in 320x320 shots. Though if you´re config is set at 1280x720 it picked up objects so much better than the standard substream resolution
still use my big gpu for blue iris as I have not got the coral tpu usd to work yet. pc picks it up under usb devices but it just crashes the CP server. Maybe try TF-lite model? Will try again just out of curiosity
Anyway got the coral on my Frigate as I have this on proxmox - nice backup to BI...
Finally got the coral working on the frigate proxmox. 8ms inference speed.
Just don't know why it doesn't work on my windows with CPAI yet but would like to get it solved
Well that is rather frustrating. All the hype about the coral and can't get it to work on either windows with CPAI or frigate on proxmox.
Can see the usb in proxmox.
Modify the lxc config to pass through and when I hit detect it just fails and restarts frigate.
Global unicorp usb type some say...
My coral usb arrived today - downloaded the latest edgetpu runtime.
Started the module on CPAI - detected and seemed to be running on INFO.
Walked in front of the cams and it just crashed CPAI! Also crashed one of my hyperv vm's (maybe just a coincidence that one).
hmm not a good start - tried...