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    CodeProject.AI Version 2.0

    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.
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    CodeProject.AI Version 2.0

    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
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    CodeProject.AI Version 2.0

    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
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    CodeProject.AI Version 2.0

    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...
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    [tool] [tutorial] Free AI Person Detection for Blue Iris

    Says you are using the same bot somewhere. You need a unique one for AItools. This happened to me a while back.
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    CodeProject.AI Version 2.0

    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...
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    CodeProject.AI Version 2.0

    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.
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    CodeProject.AI Version 2.0

    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
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    CodeProject.AI Version 2.0

    Random question here. What intel cpu would match the inference speeds of a gpu like the gtx970 - 45-75ms?
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    Blue Iris and CodeProject.AI ALPR

    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...
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    Blue Iris and CodeProject.AI ALPR

    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...
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    Send Pushover notifications with pictures and hyperlinks

    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 -...
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    Send Pushover notifications with pictures and hyperlinks

    ah mine don't even appear on my phone if I refresh by pulling down, very random
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    Send Pushover notifications with pictures and hyperlinks

    I see the windows desktop app pushover never misses any of the jpegs showing, they all download - only the app has the issues in my case
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    CodeProject.AI Version 2.0

    How hot do they get? I expect they need plenty of ventilation and may suffer in a tff mini case.
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    CodeProject.AI Version 2.0

    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.
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    CodeProject.AI Version 2.0

    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
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    CodeProject.AI Version 2.0

    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...
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    CodeProject.AI Version 2.0

    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
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    CodeProject.AI Version 2.0

    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...
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    CodeProject.AI Version 2.0

    mine is not inside a vm - it is on a windows 10 pc. But anyway taken it out and will try the coral on frigate first
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    CodeProject.AI Version 2.0

    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...
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    CodeProject.AI Version 2.0

    I have Static Objects ticked and changed the analyse to 900 seconds. What does the Auto refresh option do at the bottom of the option page? Or is it best to untick the static object option?
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    CodeProject.AI Version 2.0

    Yep this is what I have.
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    CodeProject.AI Version 2.0

    I use the AITool with Deepstack and CPAI with BI. VorlonCD/bi-aidetection: Alarm system for Blue Iris based on Artificial Intelligence. (github.com) Specify the below directory in the AITool. With deepstack gpu or cpu installed, the AItool has options to start the deepstack and models/size etc...
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    CodeProject.AI Version 2.0

    Cat detection. Difference between deepstack on medium and CPAI with critters model (large) v6.2. Deepstack higher percentage but wrong animal. Timing was almost the same.
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    CodeProject.AI Version 2.0

    OK guess you just have bigger bugs than me unfortunately
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    Send Pushover notifications with pictures and hyperlinks

    Ahb You could be on to something there. My house has several access points due to a lot of interference between floors and rooms. I was walking around testing while those grey missed jpegs appeared. I'll get my misses to test while I sit next to my 5ghz gateway
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    Send Pushover notifications with pictures and hyperlinks

    Sorry yep just reread your post. In between my wife on the phone, son talking and watching prime Wonder if it's related to firing off the alerts with jpegs to telegram and pushover at the same time