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If you are a Blue Iris user and you are using custom models, then you would notice that the option, in Blue Iris, to set the custom model location is greyed out. This is because Blue Iris does not currently make changes to CodeProject.AI Server's settings. It can be done by manually starting CodeProject.AI with command line parameters (not a great solution), or editing the module settings files (a little messy), or setting system-wide environment variables (way easier). For version 1.6 we added an API to allow any app to change our settings programmatically, and we take care of stopping/restarting things and persisting the changes.
So: Blue Iris doesn't currently change CodeProject.AI Server's settings, so it doesn't provide you a way to change the custom model folder location from within Blue Iris.
Blue Iris will still use the contents of this folder to determine the calls it makes. If you don't specify a model to use in the Custom Models textbox, then Blue Iris will use all models in the custom models folder that it knows about.
Here we've specified a specific model to use. The Blue Iris help file explains more about how this works, including inclusive and exclusive filters on the models it finds.
CodeProject.AI Server doesn't know about Blue Iris' folder, so it can't tell what models it may be expected to use, nor can it tell Blue Iris about what models CodeProject.AI server has available. Our API allows Blue Iris to get a list of the AI models installed with CodeProject.AI Server, and also to set the folder where these models reside. But Blue Iris doesn't, yet, use that API.
So we do a hack.
At install time we sniff the registry to find where Blue Iris thinks the custom models should be. We then make empty copies of the models that we have, and copy them into that folder. If the folder doesn't exist (eg you were using C:\Program Files\CodeProject\AI\AnalysisLayer\CustomObjectDetection\assets, which no longer exists) then we create that folder, and then copy over the empty files.
When Blue Iris looks in that folder to decide what custom calls it can make, it sees the models, notes their names, and uses those names in the calls. CodeProject.AI Server has those models, so when the calls come through we can process them.
Blue Iris doesn't use the models. It uses the list of model names.
If you have your own models in the Blue Iris folder
You will need to copy them to the CodeProject.AI server's custom model folder (by default this is C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\custom-models)
If you've modified the registry and have your own custom models
If you were using a folder in C:\Program Files\CodeProject\AI\AnalysisLayer\CustomObjectDetection\ (which no longer existed after the upgrade, but was recreated by our hack) you'll need to re-copy your custom model into that folder.
The simplest solutions are:
- Modify the registry (Computer\HKEY_LOCAL_MACHINE\SOFTWARE\Perspective Software\Blue Iris\Options\AI, key 'deepstack_custompath') so Blue Iris looks in
C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\custom-models for custom models, and copy your models into there.
or
- Modify
C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\modulesettings.json file and set CUSTOM_MODELS_DIR to be whatever Blue Iris thinks the custom model folder is.
cheers
Chris Maunder
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If you've come across an issue in building, installing, running or configuring CodeProject.AI Server we're here to help.
We just ask that you provide enough info for us to dig in quickly:
- What version of CodeProject.AI Server are you using?
- Windows installation, Docker, or within a development environment?
- Are you accessing CodePRoject.AI server on the machine it's installed on, or from a different machine?
- What Operating System? Specifically, what version of that OS?
- Are you running in a VM, in parallels, or are you using Bootcamp on a mac?
- If you have a GPU, what card and what version of the drivers do you have installed?
Some tips:
- In the root directory of CodeProject.AI Server is a logs/ directory. Take a look in there to see if you spot any logs that might be worth including in your post (remove personal info though!)
- Have you changed any settings? If so, let us know.
- We can usually only help with questions around CodeProject.AI Server. Questions about third party apps are usually outside our scope, so please keep the focus on CodeProject.AI Server.
cheers
Chris Maunder
modified 4-Nov-22 9:51am.
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I noticed while upgrading using the "CodeProject.AI.Server-1.6.8.0.zip" Windows installer file that the service went down for ~20min (screenshot below from Uptime Kuma which monitors the service). My assumption is that the service stops as soon as the installer/upgrader starts. I know that there is a large amount of files that are downloaded for install/upgrade, but is it possible for the installer to do the download of the files in the background while the service stays up, then complete the install once all the files are downloaded (where then the service will go down)? Hopefully this would reduce the downtime during upgrade.
My use of CodeProject.AI is for Blue Iris, so the service going down for long period of time means that alerts, notifications, etc stop completely during this time (which isn't great).
System: Windows 10 22H2, i5-3550 (4C 4T @ 3.3GHz), 8GB RAM, Quadro P400 2GB, CodeProject.AI 1.6.8-Beta
Uptime Kuma showing service downtime
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CodeProject.Ai 1.6.7-Beta is stable ‘Like a Rock’ - Hats off to the Team!!! 
Just wanted to add some Positive News ...
After much playing with Windows 11 22623.746 and MSMG Tool Kit 12.7 to strip out the Bloat, we have finally arrived at a suitable package removal list that’s acceptable.
Blue Iris however is a different story .. After running 5.5.8.2 for some 10 days and 100k detections on W11 I noticed that some alerts that triggered ( Sound Alert in the basements, E-mails, Ect.) Don’t stay in the Alert clip list. They appear in the Alert folder with the .JPG that was created per option selected … But got erased from the Web page Alert Clip list as if it was ‘Canceled’.
So I upgraded to the latest (At the time) Bi 5.6.3.7. Oh Bad Move!!!! 24 hrs later .. Whole system crash!!
Did anyone say ‘Memory Leak!!’
Event Log----
Log Name: System
Source: Microsoft-Windows-Resource-Exhaustion-Detector
Event ID: 2004
Task Category: Resource Exhaustion Diagnosis Events
Level: Warning
Keywords: Events related to exhaustion of system commit limit (virtual memory).
User: SYSTEM
Windows successfully diagnosed a low virtual memory condition. The following programs consumed the most virtual memory:
BlueIris.exe (9048) consumed 35,895,017,472 bytes,
python.exe (7448) consumed 1,093,517,312 bytes
So … Image Restore back to W11 with 5.5.8.2 …
I'll Just live with it for a while longer.... 
Over 18 Days now with more than 269,477 detection Requests
Cj & Essaf
--------------------------------------------------------
Config:
Code Version 1.6.7-Beta
Windows installation
System:
Dell T3630 I9-9900K - 32GB
ZOTAC GAMING GeForce GTX 1660 SUPER 6GB GDDR5 (ZT-T16620F-10L)
GPU - Driver - 522.25-desktop-win10-win11-64bit-international-dch-whql.exe
(Ver 31.0.15.2225) - Reloaded after Win Update downgraded it to 31.0.15.1737
NVIDIA Toolkit - cuda_11.7.1_516.94_windows.exe
Microsoft Windows 11 Pro
W11-22H2-22623.746.221004-1223
Modifications:
MSMG TookKit 12.7 - Strips out the Bloat
Changed: 'Adjust for best Performance of' = Background Services
Currently installed "classic" .NET Versions in the system:
2.0.50727.4927 Service Pack 2
3.0.30729.4926 Service Pack 2
3.5.30729.4926 Service Pack 1
4.0.0.0
4.8.09032
Blueiris v 5.5.8.2
15 Cams
 
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5.6.5.4 and 1.6.9 (Docker) running solid here.
5.6.5.4 is said to fix memory leak, no sign of any so far.
>64
Some days the dragon wins. Suck it up.
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theoldfool wrote: 5.6.5.4 and 1.6.9 (Docker) running solid here.
5.6.5.4 is said to fix memory leak, no sign of any so far.
Thanks for the info...
Taking an image now and will give it a go.... 
Cj & Essaf
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Tell ESSAF not to feel bad. Sometimes, CP/BI thinks our stairs is a truck. Or is it a forklift? Well, vehicle.
>64
Some days the dragon wins. Suck it up.
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I will as soon as he wakes up!!! 
Cj
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Awwwww
cheers
Chris Maunder
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Just updated to the latest version and I ended up having to go to safe mode in order to bruteforce remove SenseAI as it bricked my PC.
The GPU mode is using an easy 10GBVRAM, which is a big no-no as I need my full GPU for work. SenseAI has done a fantastic job at running in the background (16cores/32threads, 128GBRam) without any hiccups.
With the latest update though it started to spam a ginormous amount of sub tasks while pretty much turning the PC unusable. Clicks would not register, apps would get stuck and crash, even the GPU kept crashing.
I removed the last version and everything is back to normal.
Here a picture from my task manager. "Portraitfilter.exe" tends to eventually create a whole bunch of tasks as well.
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Are you using the Windows installer or Docker? If the Windows installer then a quick fix would be to go into the module settings.json files of each module and set Parallelisation = 1 for each module.
We made a change in 1.6.9 around tasks which seems to have kicked things up a little too much for you. We'll take a look
cheers
Chris Maunder
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Thank you very much, I will give this a shot!
Apologies, forgot add the required info in the initial post:
1.6.8.0, Windows Installer, accessing from the same machine, Win10 pro, 4090, latest Nvidia drivers.
Not sure if this is of relevance but the sweet spot for me when SenseAI was using a couple threads in the background while utilizing a couple gigs. It was pleasantly unnoticeable while doing a fantastic job. Granted, this is not a dedicated server.
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Installation is failing on my Windows10 system with the following error in the event log. Anysuggestions on how to resolve:
Windows Installer installed the product. Product Name: CodeProject.AI Legacy AI Modules. Product Version: 1.6.8.0. Product Language: 1033. Manufacturer: CodeProject. Installation success or error status: 1603.
The "CodeProject.AI_Server_20221128150112_004_LEGACYMODULES" log file contains this info - greek to me but hopefully it means something to one of the experts here:
Action start 15:08:41: CA_cudaVersion.
SFXCA: Extracting custom action to temporary directory: C:\WINDOWS\Installer\MSI7B2.tmp-\
SFXCA: Binding to CLR version v4.0.30319
Calling custom action CudaVersionCustomAction!CudaVersionCustomAction.CustomActions.GetCudaVersion
Begin GetCudaVersion
Exception thrown by custom action:
System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.Management.ManagementException: Not found
at System.Management.ManagementException.ThrowWithExtendedInfo(ManagementStatus errorCode)
at System.Management.ManagementScope.InitializeGuts(Object o)
at System.Management.ManagementScope.Initialize()
at System.Management.ManagementObjectSearcher.Initialize()
at System.Management.ManagementObjectSearcher.Get()
at CudaVersionCustomAction.CustomActions.GetCudaVersion(Session session)
--- End of inner exception stack trace ---
at System.RuntimeMethodHandle.InvokeMethod(Object target, Object arguments, Signature sig, Boolean constructor)
at System.Reflection.RuntimeMethodInfo.UnsafeInvokeInternal(Object obj, Object parameters, Object arguments)
at System.Reflection.RuntimeMethodInfo.Invoke(Object obj, BindingFlags invokeAttr, Binder binder, Object parameters, CultureInfo culture)
at Microsoft.Deployment.WindowsInstaller.CustomActionProxy.InvokeCustomAction(Int32 sessionHandle, String entryPoint, IntPtr remotingDelegatePtr)
CustomAction CA_cudaVersion returned actual error code 1603 (note this may not be 100% accurate if translation happened inside sandbox)
Action ended 15:08:42: CA_cudaVersion. Return value 3.
Action ended 15:08:42: INSTALL. Return value 3.
modified 2 days ago.
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Thanks for that. We'll get that sorted out.
What graphics card do you have installed?
Also: what version of Windows are you using?
(Fixed for next release)
cheers
Chris Maunder
modified 2 days ago.
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GeForce GTX 745
Running Windows 10 pro - with the latest updates
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Thanks for the update. We'll have a new version out in the next week.
cheers
Chris Maunder
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FYI - your earlier suggestion to set Parallelisation = 1 worked! I appear to be up and running now! thanks
[just realized this recommendation was for a different issue - novice error here - but for some reason, after doing it I was able to complete the installation]
modified yesterday.
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My head just exploded.
The installer is a completely different piece of the puzzle. But if it worked then I'm gently closing the door and backing away.
(A proper fix is on it's way)
cheers
Chris Maunder
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I did do one Windows update just before the last installation attempt that worked.
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I've set up CodeProjectAi on a seperate Dell Micro running Windows 10, no GPU, but cannot access it from another machine.
http://127.0.0.1:32168 shows the server working on the Dell Micro.
http://192.168.0.69:32168 on a different machine on the network fails to reach the server.
Firewall rules?
CodeProjectAi is not in the list of Applications to allow through the firewall.
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Is the Dell Micro IP 192.168.0.69, if so it should work
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Yep,
I'm using the correct IP for the Dell Micro.
Just fails to connect.
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Try http://192.168.0.69:5000
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Tried that.
It's definately 192.168.0.69:32168, you can type this in a browser, as well as localhost:32168, on the Dell Micro and it will work.
Just cannot figure our why I cannot access it remotely. I can RDP to the machine with no issues.
The whole point is to offload Ai resources to a remote machine on the network. Ai on the same machine as BlueIris uses a lot of CPU resources.
FYI. I installed CodeProjectAi on another Windows machine and the same issue persists... no access to CodeProjectAi server remotely.
modified 5 days ago.
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Firewall rules, create an exception for port 32168 through the firewall on your ai box and you should be good to go.
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