CodeProject.AI Discussions

CodeProject.AI is our standalone, self-hosted, fast, free and Open Source Artificial Intelligence microserver for any platform, any language.

README FIRST

Chris Maunder23-Apr-23 4:21

Chris Maunder

23-Apr-23 4:21

IF YOU ARE HAVING A PROBLEM

Take a look at the logs in C:\Program Files\CodeProject\AI\logs and see if there's anything in there that screams 'something broke'.
Check the FAQs in the CodeProject.AI Server documentation
Make sure you've tested the server using the Explorer (blue link, top middle of the dashboard) to ensure it's a server issue rather than something else such as Blue Iris or another app using CodeProject.AI server.
If there's no obvious answer, then copy and paste into a message the contents of the System Info tab, describe what you are doing, and what you see, and what you would expect.

Always include a copy and paste from the System Info tab of the dashboard. It gives us a ton of info on your setup. If an individual module is failing, click the 'Info' button to the right of the module's name in the status list and copy and paste that info too.

How to reinstall a module

Option 1. Go to the install modules tab on the dashboard and try re-installing the package. Make sure you have enough disk space and a reliable internet connection.

Option 2: (Option 1 with a vengeance): If that fails, head to the module's folder ([app root]\modules\module-id), open a terminal in admin mode, and run ..\..\setup. This will force a manual reinstall using the install script.

Docker: In Docker you will need to open a terminal into the docker container. You can do this using Docker Desktop, or Visual Studio Code with the Docker remote extension, or on the command using using docker attach. Then do a cd /app/modules/module-id where module-id is the id of the module you need to resinstall. Next, run sudo bash ../../setup.sh --verbosity info to force a manual reinstall of that module. (Set verbosity as quiet, info or loud to get less or more info)

cheers
Chris Maunder

modified 18-Feb-24 15:48pm.

A note on custom models and Blue Iris

Chris Maunder24-Sep-22 11:18

Chris Maunder

24-Sep-22 11:18

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

Train or configure a custom model to detect objects

Gianfranco Tonti25-Jul-24 12:41

Gianfranco Tonti

25-Jul-24 12:41

Hi friend, I have some problems training a custom model for weapon detection. I'll explain a little bit and obviously I'm doing this as a test to leave a proven base for other training. I'm using Windows, CodeProject.AI on a computer that serves as a server and DVR agent installed on a local computer also with Windows. I did everything that some instructions and links indicated but very vaguely, I'm sorry for me since I don't know much about python and other tools that are recommended but nevertheless I got to the point of creating the .pt file which was long nights of testing, trial and error but when I put the file it gives me an error: (AI server error: check the logs and that the AI server is running) and obviously it doesn't recognize anything at least not what I want.
The configuration that I put in the endpoint is: /v1/vision/custom/arma_model
Object classes: gun (all images were tagged like this)
In the configuration to find objects I select gun, but it doesn't recognize anything.
Now I'll explain the process a little bit. First I downloaded about 150 images and placed them in a folder, then with labelImg I placed labels on all of them, finally with a train.py file between this custom model which gave me arma_model.pth as a result, obviously I changed the extension to .pt and copied it to the folder ....\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2, after this I went to AgentDvr and within the Object Recognition configuration I made the changes I mentioned above but it doesn't work for me. Please if someone has a more explicit and intuitive instruction on how to train or create an object recognition model or any tips that I can use for that I would really appreciate it. I've been doing this for more than 3 days now but without results.
CodeProject.AI Version V.2.6.5
AgentDvr Version V.5.6.1.0
Windows11 64Bit Unsure | :~

Codeproject AI log seems to stop

NCARalph24-Jul-24 8:51

NCARalph

24-Jul-24 8:51

This is v 2.6.5 connected to Agent DVR 5.6.0.0 on a Windows 11 system. Agent DVR tests the AI server as OK.
It looks like the logging stops intermittently because Agent DVR is sending motion detections every minute or so but I'm only seeing a log entry every 15 minutes or so, both when something is detected and nothing found, but many queries are not in the logs.
It was running for awhile, then stopped logging. This is a section from the log. Notice the log gap at the end. The time when I took this snapshot was 14:49 so nothing was received for 15 minutes while there were several motion events.

Quote:
14:15:02:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
14:15:02:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...f35649) ['No objects found'] took 72ms
14:15:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
14:15:03:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...ee5f36) ['No objects found'] took 60ms
14:15:04:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
14:15:04:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...846101) ['No objects found'] took 57ms
14:15:05:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
14:15:05:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...04462b) ['No objects found'] took 44ms
14:15:06:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
14:15:06:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...4a6f63) ['No objects found'] took 65ms
14:15:07:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
14:15:07:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...18300c) ['No objects found'] took 72ms
14:15:09:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
14:15:09:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...1e1ef3) ['Found person'] took 71ms
14:15:10:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
14:15:10:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...63286a) ['No objects found'] took 68ms
14:15:15:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
14:15:15:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...4961b8) ['No objects found'] took 50ms
14:34:52:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...7b70a1) ['Found person'] took 69ms

Unable to Download Codeproject.AI windows installer.

Member 1631252620-Jul-24 19:43

Member 16312526

20-Jul-24 19:43

Hi there, I have tried two windows pcs and 1 Mac to download the windows installer. Each attempt gets to about 8MB to 15MB and then stops. CodeProject.AI-Server-win-x64-2.6.5.zip.download
DOWNLOAD Mbps
217.42
UPLOAD Mbps
58.58 This is my current network speed, though downloads from CodeProject are about 50Kb/sec.

I would really appreciate any suggestions, thanks Kev.

Re: Unable to Download Codeproject.AI windows installer.

Member 1009447722-Jul-24 18:32

Member 10094477

22-Jul-24 18:32

Network speed issue may there.

CPAI ver 2.6.5 CPAI Server service starts, but ObjectDetectionYOLOv5Net module stops when Blue Iris starts

Steve Winn18-Jul-24 6:59

Steve Winn

18-Jul-24 6:59

Server info and Module info to start:

Server version:   2.6.5
System:           Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs:             Intel(R) Core(TM) i5-7500 CPU @ 3.40GHz (Intel)
                  1 CPU x 4 cores. 4 logical processors (x64)
GPU (Primary):    Intel(R) HD Graphics 630 (1,024 MiB) (Intel Corporation) 
                  Driver: 31.0.101.2111
System RAM:       16 GiB
Platform:         Windows
BuildConfig:      Release
Execution Env:    Native
Runtime Env:      Production
Runtimes installed:
  .NET runtime:     7.0.20
  .NET SDK:         7.0.410
  Default Python:   Not found
  Go:               Not found
  NodeJS:           Not found
  Rust:             Not found
Video adapter info:
  Intel(R) HD Graphics 630:
    Driver Version     31.0.101.2111
    Video Processor    Intel(R) HD Graphics Family
System GPU info:
  GPU 3D Usage       41%
  GPU RAM Usage      0
Global Environment variables:
  CPAI_APPROOTPATH = <root>
  CPAI_PORT        = 32168

Module 'Object Detection (YOLOv5 .NET)' 1.10.2 (ID: ObjectDetectionYOLOv5Net)
Valid:            True
Module Path:      <root>\modules\ObjectDetectionYOLOv5Net
Module Location:  Internal
AutoStart:        True
Queue:            objectdetection_queue
Runtime:          dotnet
Runtime Location: System
FilePath:         bin\ObjectDetectionYOLOv5Net.exe
Start pause:      1 sec
Parallelism:      0
LogVerbosity:     
Platforms:        all,!windows-arm64
GPU Libraries:    installed if available
GPU:              use if supported
Accelerator:      
Half Precision:   enable
Environment Variables
   CUSTOM_MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5Net\custom-models
   MODELS_DIR        = <root>\modules\ObjectDetectionYOLOv5Net\assets
   MODEL_SIZE        = MEDIUM
Status Data:  {
  "inferenceDevice": "GPU",
  "inferenceLibrary": "DirectML",
  "canUseGPU": true,
  "successfulInferences": 528,
  "failedInferences": 0,
  "numInferences": 528,
  "averageInferenceMs": 259,
  "Histogram": {
    "car": 829,
    "person": 21,
    "bicycle": 15,
    "motorcycle": 2,
    "truck": 23
  },
  "NumItemsFound": 890
}
Started:      18 Jul 2024 11:05:40 AM Central Standard Time
LastSeen:     18 Jul 2024 11:11:15 AM Central Standard Time
Status:       Started
Requests:     532 (includes status calls)



Installation Log
2024-06-28 09:55:35:              Installing CodeProject.AI Analysis Module                
2024-06-28 09:55:35: ======================================================================
2024-06-28 09:55:35:                    CodeProject.AI Installer                           
2024-06-28 09:55:35: ======================================================================
2024-06-28 09:55:35: 310.0Gb of 487Gb available on 
2024-06-28 09:55:35: General CodeProject.AI setup                                          
2024-06-28 09:55:35: Creating Directories...done
2024-06-28 09:55:35: GPU support                                                           
2024-06-28 09:55:36: CUDA Present...No
2024-06-28 09:55:36: ROCm Present...No
2024-06-28 09:55:37: Checking for .NET 7.0...Checking SDKs...All good. .NET is 7.0.410 
2024-06-28 09:55:39: Reading ObjectDetectionYOLOv5Net settings.......done
2024-06-28 09:55:39: Installing module Object Detection (YOLOv5 .NET) 1.10.2               
2024-06-28 09:55:40: Downloading ObjectDetectionYOLOv5Net-DirectML-1.10.2.zip...already exists...Expanding...done.
2024-06-28 09:55:41: Copying contents of ObjectDetectionYOLOv5Net-DirectML-1.10.2.zip to bin...done
2024-06-28 09:55:43: Downloading YOLO ONNX models...already exists...Expanding...done.
2024-06-28 09:55:44: Copying contents of yolonet-models.zip to assets...done
2024-06-28 09:55:45: Downloading Custom YOLO ONNX models...already exists...Expanding...done.
2024-06-28 09:55:45: Copying contents of yolonet-custom-models.zip to custom-models...done
2024-06-28 09:55:45: Scanning modulesettings for downloadable models...No models specified
2024-06-28 09:55:48: Self test: Self-test passed
2024-06-28 09:55:48: Module setup time 00:00:10.66
2024-06-28 09:55:48: Setup complete                                                        
2024-06-28 09:55:48: Total setup time 00:00:13.09
Installer exited with code 0

Blue Iris Version: Release 5.9.3.4 x64 (6/18/2024)

Blue Iris is set to start Automically (Delayed Start)

Code Project is set to start Automatically.

I had an issue where we had a power outage for several hours several days ago.

My UPS ran out; prior to that, I had shut down all computers and network equipment.

When I started the Blue Iris / Code Project server, I noticed that Blue Iris started, but Code Project Service did not.

I manually started the Code Project Server service from the menu, and then restarted the Blue Iris service.
(I do this to allow Blue Iris to read the custom models)

I went on to other things, assuming that everything would work.

I found the next morning that the last confirmed motion was about 19 hours earlier.

Investigating, I saw that Code Project did not seem to be functioning.

I started the Code Project Server service again, and checked to make sure that Blue Iris was showing comfirmed images.

I then left it.

This morning, I tried rebooting the server. I started the CPAI service, and restarted the Blue Iris service.

Watching Blue Iris, I kept getting Nothing Found, and AI Canceled.

Investigating further, when opening the CPAI home screen, I saw that the server was running, but both modules were not running.

I then opened "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5Net\modulesettings.json"

I found that Launch Settings / Autostart was set to False. I changed it to True. Restarted the Code Project service, and then found that Blue Iris was functioning as expected.

1. I have seen a number of times that I need to manually start the CPAI service, and then go through the idiocy of restarting the Blue Iris server service to make Blue Iris to read the custom models list.
I really wish that Ken would not go through this clumsy process to keep us from using Deepstack. He could go back to just reading the contents of the custom-models folder, that would take away the dependency of having Code Project running and fully functional in order to work.

2. I would assume that when I set a module to start, it should set the autostart value in the modulesettings file to True, no? I would love to get away from editing files to get a program to work.

3. Should I create a batch file like:

Timeout: 60
SC Start CodeProject.AI.Server
Timeout: 60
SC Start BlueIris

To make sure Code Project starts before Blue Iris?

I read a number of threads about Blue Iris in different places, and I see users who state they are supporting ~10 Blue Iris installations.

I honestly do not know how one would use Blue Iris in a commercial setting.

BTW, Ubuntu with Frigate NVR, I pushed the power button on the machine to start it, and I didn't have to do anything else (execpt make sure all cameras were powered up)

modified 4 days ago.

Re: CPAI ver 2.6.5 CPAI Server service does not start when set to auto etc.

Steve Winn22-Jul-24 6:28

Steve Winn

22-Jul-24 6:28

With further investigation, I tried restarting the machine, and watched the processes as the machine started up.
Initially, CodeProject AI Server ran, along with the ObjectDetectionYOLOv5 module. This was apparent in the task manager of the machine. At one point, apparently about when the Blue Iris service started, I no longer saw the ObjectDetectionYOLOv5 module listed. The Code Project server service was still listed however.
I looked at the Code Project web page, the server was online, but the YOLOv5 module showed stopped.
Looking at the log file, I saw initially an entry of:
Fatal error. System.AccessViolationException: Attempted to read or write protected memory. This is often an indication that other memory is corrupt.
Finally, the following:
2024-07-22 11:01:39: Response rec'd from Object Detection (YOLOv5 .NET) command 'custom' (#reqid bc72cd48-081a-49e4-ae0f-545714fd0a49) ['Found car, car, car'] took 174ms
2024-07-22 11:01:41: ** Module ObjectDetectionYOLOv5Net has shutdown
2024-07-22 11:01:41: ObjectDetectionYOLOv5Net.exe: has exited

Following is the log file at the time of the errors:

2024-07-22 10:59:28: Started Object Detection (YOLOv5 .NET) module
2024-07-22 10:59:30: Current Version is 2.6.5
2024-07-22 10:59:30: Server: This is the latest version
2024-07-22 10:59:35: ObjectDetectionYOLOv5Net.exe:       Application started. Press Ctrl+C to shut down.
2024-07-22 10:59:35: ObjectDetectionYOLOv5Net.exe:       Hosting environment: Production
2024-07-22 10:59:35: ObjectDetectionYOLOv5Net.exe:       Content root path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5Net
2024-07-22 10:59:36: Object Detection (YOLOv5 .NET): Object Detection (YOLOv5 .NET) module started. in Object Detection (YOLOv5 .NET)
2024-07-22 11:01:31: Client request 'custom' in queue 'objectdetection_queue' (#reqid 6ec27f46-2728-4242-990e-90692087c2b1)
2024-07-22 11:01:31: Request 'custom' dequeued from 'objectdetection_queue' (#reqid 6ec27f46-2728-4242-990e-90692087c2b1)
2024-07-22 11:01:31: Client request 'custom' in queue 'objectdetection_queue' (#reqid a22f03f7-a71a-4d13-bc0f-65b143a848ff)
2024-07-22 11:01:31: Request 'custom' dequeued from 'objectdetection_queue' (#reqid a22f03f7-a71a-4d13-bc0f-65b143a848ff)
2024-07-22 11:01:31: Client request 'custom' in queue 'objectdetection_queue' (#reqid 92411c7c-6045-43db-bbc5-87f9aba4aff5)
2024-07-22 11:01:31: Client request 'custom' in queue 'objectdetection_queue' (#reqid c295265c-38d8-402c-8b43-9df8b9c46d27)
2024-07-22 11:01:31: Client request 'custom' in queue 'objectdetection_queue' (#reqid bc72cd48-081a-49e4-ae0f-545714fd0a49)
2024-07-22 11:01:31: Request 'custom' dequeued from 'objectdetection_queue' (#reqid 92411c7c-6045-43db-bbc5-87f9aba4aff5)
2024-07-22 11:01:31: Request 'custom' dequeued from 'objectdetection_queue' (#reqid c295265c-38d8-402c-8b43-9df8b9c46d27)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe: Fatal error. System.AccessViolationException: Attempted to read or write protected memory. This is often an indication that other memory is corrupt.
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at Microsoft.ML.OnnxRuntime.InferenceSession.Init(Byte[], Microsoft.ML.OnnxRuntime.SessionOptions, Microsoft.ML.OnnxRuntime.PrePackedWeightsContainer)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at Microsoft.ML.OnnxRuntime.InferenceSession..ctor(Byte[], Microsoft.ML.OnnxRuntime.SessionOptions)
2024-07-22 11:01:36: System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e: ..ctor(System.String, Microsoft.ML.OnnxRuntime.SessionOptions) in System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at CodeProject.AI.Modules.ObjectDetection.YOLOv5.ObjectDetector..ctor(System.String, Microsoft.Extensions.Logging.ILogger`1<CodeProject.AI.Modules.ObjectDetection.YOLOv5.ObjectDetector>)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at CodeProject.AI.Modules.ObjectDetection.YOLOv5.ObjectDetectionWorker.GetDetector(System.String, Boolean)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at CodeProject.AI.Modules.ObjectDetection.YOLOv5.ObjectDetectionWorker.DoDetection(System.String, CodeProject.AI.SDK.RequestFormFile, Single)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at CodeProject.AI.Modules.ObjectDetection.YOLOv5.ObjectDetectionWorker.Process(CodeProject.AI.SDK.BackendRequest)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at CodeProject.AI.SDK.ModuleWorkerBase+<ProcessQueue>d__57.MoveNext()
2024-07-22 11:01:36: System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.ModuleWorkerBase+<ProcessQueue>d__57, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null: .ExecutionContextCallback(System.Object) in System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.ModuleWorkerBase+<ProcessQueue>d__57, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.ExecutionContext.RunInternal(System.Threading.ExecutionContext, System.Threading.ContextCallback, System.Object)
2024-07-22 11:01:36: System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.ModuleWorkerBase+<ProcessQueue>d__57, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null: .MoveNext(System.Threading.Thread) in System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.ModuleWorkerBase+<ProcessQueue>d__57, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null
2024-07-22 11:01:36: System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.ModuleWorkerBase+<ProcessQueue>d__57, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null: .MoveNext() in System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.ModuleWorkerBase+<ProcessQueue>d__57, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.AwaitTaskContinuation.RunOrScheduleAction(System.Runtime.CompilerServices.IAsyncStateMachineBox, Boolean)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.Task.RunContinuations(System.Object)
2024-07-22 11:01:36: System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e: .SetExistingTaskResult(System.Threading.Tasks.Task`1<System.__Canon>, System.__Canon) in System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at CodeProject.AI.SDK.BackendClient+<GetRequest>d__8.MoveNext()
2024-07-22 11:01:36: System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.BackendClient+<GetRequest>d__8, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null: .ExecutionContextCallback(System.Object) in System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.BackendClient+<GetRequest>d__8, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.ExecutionContext.RunInternal(System.Threading.ExecutionContext, System.Threading.ContextCallback, System.Object)
2024-07-22 11:01:36: System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.BackendClient+<GetRequest>d__8, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null: .MoveNext(System.Threading.Thread) in System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.BackendClient+<GetRequest>d__8, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null
2024-07-22 11:01:36: System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.BackendClient+<GetRequest>d__8, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null: .MoveNext() in System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[CodeProject.AI.SDK.BackendClient+<GetRequest>d__8, CodeProject.AI.Module.SDK, Version=1.0.1.0, Culture=neutral, PublicKeyToken=null
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.AwaitTaskContinuation.RunOrScheduleAction(System.Runtime.CompilerServices.IAsyncStateMachineBox, Boolean)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.Task.RunContinuations(System.Object)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Net.Http.HttpClient+<<SendAsync>g__Core|83_0>d.MoveNext()
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.ExecutionContext.RunInternal(System.Threading.ExecutionContext, System.Threading.ContextCallback, System.Object)
2024-07-22 11:01:36: System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpClient+<<SendAsync>g__Core|83_0>d, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a: .MoveNext(System.Threading.Thread) in System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpClient+<<SendAsync>g__Core|83_0>d, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.AwaitTaskContinuation.RunOrScheduleAction(System.Runtime.CompilerServices.IAsyncStateMachineBox, Boolean)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.Task.RunContinuations(System.Object)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Net.Http.RedirectHandler+<SendAsync>d__4.MoveNext()
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.ExecutionContext.RunInternal(System.Threading.ExecutionContext, System.Threading.ContextCallback, System.Object)
2024-07-22 11:01:36: System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.RedirectHandler+<SendAsync>d__4, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a: .MoveNext(System.Threading.Thread) in System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.RedirectHandler+<SendAsync>d__4, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.AwaitTaskContinuation.RunOrScheduleAction(System.Runtime.CompilerServices.IAsyncStateMachineBox, Boolean)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.Task.RunContinuations(System.Object)
2024-07-22 11:01:36: System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e: .TrySetResult(System.__Canon) in System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Net.Http.HttpConnectionPool+<SendWithVersionDetectionAndRetryAsync>d__89.MoveNext()
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.ExecutionContext.RunInternal(System.Threading.ExecutionContext, System.Threading.ContextCallback, System.Object)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.AwaitTaskContinuation.RunOrScheduleAction(System.Runtime.CompilerServices.IAsyncStateMachineBox, Boolean)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.Task.RunContinuations(System.Object)
2024-07-22 11:01:36: System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e: .TrySetResult(System.__Canon) in System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Net.Http.HttpConnection+<SendAsync>d__57.MoveNext()
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.ExecutionContext.RunInternal(System.Threading.ExecutionContext, System.Threading.ContextCallback, System.Object)
2024-07-22 11:01:36: System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpConnection+<SendAsync>d__57, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a: .MoveNext(System.Threading.Thread) in System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpConnection+<SendAsync>d__57, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a
2024-07-22 11:01:36: System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpConnection+<SendAsync>d__57, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a: .MoveNext() in System.__Canon, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpConnection+<SendAsync>d__57, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.AwaitTaskContinuation.RunOrScheduleAction(System.Runtime.CompilerServices.IAsyncStateMachineBox, Boolean)
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.Tasks.Task.RunContinuations(System.Object)
2024-07-22 11:01:36: System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e: .TrySetResult(System.Threading.Tasks.VoidTaskResult) in System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e
2024-07-22 11:01:36: System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e: .SetExistingTaskResult(System.Threading.Tasks.Task`1<System.Threading.Tasks.VoidTaskResult>, System.Threading.Tasks.VoidTaskResult) in System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Runtime.CompilerServices.AsyncValueTaskMethodBuilder.SetResult()
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Net.Http.HttpConnection+<InitialFillAsync>d__82.MoveNext()
2024-07-22 11:01:36: System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpConnection+<InitialFillAsync>d__82, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a: .ExecutionContextCallback(System.Object) in System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpConnection+<InitialFillAsync>d__82, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.ExecutionContext.RunInternal(System.Threading.ExecutionContext, System.Threading.ContextCallback, System.Object)
2024-07-22 11:01:36: System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpConnection+<InitialFillAsync>d__82, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a: .MoveNext(System.Threading.Thread) in System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpConnection+<InitialFillAsync>d__82, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a
2024-07-22 11:01:36: System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpConnection+<InitialFillAsync>d__82, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a: .MoveNext() in System.Threading.Tasks.VoidTaskResult, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Net.Http.HttpConnection+<InitialFillAsync>d__82, System.Net.Http, Version=8.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Net.Sockets.SocketAsyncEventArgs+<>c.<.cctor>b__173_0(UInt32, UInt32, System.Threading.NativeOverlapped*)
2024-07-22 11:01:36: System.Threading.PortableThreadPool+IOCompletionPoller+Event, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Threading.PortableThreadPool+IOCompletionPoller+Callback, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e: .System.Threading.IThreadPoolWorkItem.Execute() in System.Threading.PortableThreadPool+IOCompletionPoller+Event, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e],[System.Threading.PortableThreadPool+IOCompletionPoller+Callback, System.Private.CoreLib, Version=8.0.0.0, Culture=neutral, PublicKeyToken=7cec85d7bea7798e
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.ThreadPoolWorkQueue.Dispatch()
2024-07-22 11:01:36: ObjectDetectionYOLOv5Net.exe:    at System.Threading.PortableThreadPool+WorkerThread.WorkerThreadStart()
2024-07-22 11:01:39: Request 'custom' dequeued from 'objectdetection_queue' (#reqid bc72cd48-081a-49e4-ae0f-545714fd0a49)
2024-07-22 11:01:39: Response rec'd from Object Detection (YOLOv5 .NET) command 'custom' (#reqid 6ec27f46-2728-4242-990e-90692087c2b1) ['Found car, car']  took 7572ms
2024-07-22 11:01:39: Response rec'd from Object Detection (YOLOv5 .NET) command 'custom' (#reqid 92411c7c-6045-43db-bbc5-87f9aba4aff5) ['No objects found']  took 153ms
2024-07-22 11:01:39: Response rec'd from Object Detection (YOLOv5 .NET) command 'custom' (#reqid bc72cd48-081a-49e4-ae0f-545714fd0a49) ['Found car, car, car']  took 174ms
2024-07-22 11:01:41: ** Module ObjectDetectionYOLOv5Net has shutdown
2024-07-22 11:01:41: ObjectDetectionYOLOv5Net.exe: has exited

I will try to uninstall and reinstall the module and see what happens. I also will try excluding the Code Project directory from anti virus real time.

Re: CPAI ver 2.6.5 CPAI Server service does not start when set to auto etc.

Steve Winn22-Jul-24 6:46

Steve Winn

22-Jul-24 6:46

From the ObjectDetectionYOLOv5 directory, I ran ..\..\setup.
The initial results look favorable.
After about 5 minutes, the ObjectDetectionYOLOv5Net module is still running, using the GPU, and returning results to Blue Iris.
I will try several several more reboots and see if the issue returns.

Re: CPAI ver 2.6.5 CPAI Server service does not start when set to auto etc.

Steve Winn22-Jul-24 6:54

Steve Winn

22-Jul-24 6:54

Second reboot, the issue returned.
Still investigating.

For now, it seems I have to manually start the module when it stops.

ObjectDetectionYolov5.NET requires DotNet v8 while CodeProject requires v7

tobi0617-Jul-24 10:20

tobi06

17-Jul-24 10:20

Incompatible and conflicting .NET versions are required for runtime Codeproject AI and ObjectDetectionYolov5.NET

Attempting to start ObjectDetectionYolov5.NET ends in error:

Terminal

09:58:16:ObjectDetectionYOLOv5Net.dll: You must install or update .NET to run this application.
09:58:16:ObjectDetectionYOLOv5Net.dll: App: /app/modules/ObjectDetectionYOLOv5Net/bin/ObjectDetectionYOLOv5Net.dll
09:58:16:ObjectDetectionYOLOv5Net.dll: Architecture: x64
09:58:16:ObjectDetectionYOLOv5Net.dll: Framework: 'Microsoft.NETCore.App', version '8.0.0' (x64)
09:58:16:ObjectDetectionYOLOv5Net.dll: .NET location: /usr/lib/dotnet/
09:58:16:ObjectDetectionYOLOv5Net.dll: The following frameworks were found:
09:58:16:ObjectDetectionYOLOv5Net.dll:   7.0.19 at [/usr/lib/dotnet/shared/Microsoft.NETCore.App]
09:58:16:ObjectDetectionYOLOv5Net.dll: Learn about framework resolution:
09:58:16:ObjectDetectionYOLOv5Net.dll: https://aka.ms/dotnet/app-launch-failed
09:58:16:ObjectDetectionYOLOv5Net.dll: To install missing framework, download:
09:58:16:ObjectDetectionYOLOv5Net.dll: https://aka.ms/dotnet-core-applaunch?framework=Microsoft.NETCore.App&framework_version=8.0.0&arch=x64&rid=ubuntu.22.04-x64
09:58:16:ObjectDetectionYOLOv5Net.dll: has exited

Installing Dotnet v8 fails to start CodeProject.AI as a whole...

Re: ObjectDetectionYolov5.NET requires DotNet v8 while CodeProject requires v7

Steve Winn24-Jul-24 5:50

Steve Winn

24-Jul-24 5:50

The same on Ubuntu 22.04.
YOLOv5.NET requires .NET 8.0, Code Project AI server will not start with .NET 8.0.

Re: ObjectDetectionYolov5.NET requires DotNet v8 while CodeProject requires v7

Steve Winn4hrs 1 min ago

Steve Winn

4hrs 1 min ago

I installed CPAI ver 2.7.0.
That version gave a message when I tried to start the server, that it required the .NET 8.0 runtime.
I installed .NET 8.0, and the server started, and the YOLOv5 .NET module started without incident, but only in CPU mode.
I am interested in finding out how to get that module to use the Intel 530 GPU installed in the machine.

Face recognition and face processing with Blue Iris

Bengt-Ove Peltz15-Jul-24 19:31

Bengt-Ove Peltz

15-Jul-24 19:31

Hi!!
I keep getting theese errors when i run Face Recognition
in codeproject.ai, i'm using it with Blue Iris.

19:31:59:Started Face Processing module
19:31:59:face.py: Traceback (most recent call last):
19:31:59:face.py: File "C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer\face.py", line 16, in
19:31:59:face.py: from codeproject_ai_sdk import RequestData, ModuleRunner, LogMethod, JSON
19:31:59:face.py: ModuleNotFoundError: No module named 'codeproject_ai_sdk'
19:31:59:Module FaceProcessing has shutdown
19:31:59:face.py: has exited

What I have tried:

I'm on a new and clean Windows 10 pro installation, i've tried to reinstall codeproject twice, uninstalled Face Processing module and reinstalled it, but the error is still there.
I hope someone can help me with this.

modified 16-Jul-24 1:43am.

Re: Face recognition and face processing with Blue Iris

Sean Ewington16-Jul-24 3:49

Sean Ewington

16-Jul-24 3:49

Thanks very much for the report. Can you please to C:\Program Files\CodeProject\AI\modules\FaceProcessing and post the contents of the install.log file.

Also, could you please share your System Info tab from your CodeProject.AI Server dashboard?

Thanks,
Sean Ewington
CodeProject

Re: Face recognition and face processing with Blue Iris

Bengt-Ove Peltz16-Jul-24 4:59

Bengt-Ove Peltz

16-Jul-24 4:59

2024-06-26 11:45:12: Installing CodeProject.AI Analysis Module
2024-06-26 11:45:12: ======================================================================
2024-06-26 11:45:12: CodeProject.AI Installer
2024-06-26 11:45:13: ======================================================================
2024-06-26 11:45:15: 263.1Gb of 304Gb available on
2024-06-26 11:45:15: General CodeProject.AI setup
2024-06-26 11:45:15: Creating Directories...done
2024-06-26 11:45:15: GPU support
2024-06-26 11:45:16: CUDA Present...Yes (CUDA 12.2, No cuDNN found)
2024-06-26 11:45:17: ROCm Present...No
2024-06-26 11:45:17: Checking for .NET 7.0...Checking SDKs...Upgrading: .NET is 0
2024-06-26 11:45:17: Current version is 0. Installing newer version.
2024-06-26 11:45:17: 'winget' is not recognized as an internal or external command,
2024-06-26 11:45:17: operable program or batch file.
2024-06-26 11:45:21: Reading FaceProcessing settings.......done
2024-06-26 11:45:21: Installing module Face Processing 1.11.0
2024-06-26 11:45:21: Installing Python 3.7
2024-06-26 11:45:21: Python 3.7 is already installed
2024-06-26 11:45:21: Creating Virtual Environment (Shared)...Virtual Environment already present
2024-06-26 11:45:21: Confirming we have Python 3.7 in our virtual environment...present
2024-06-26 11:49:05: Downloading Face models...Expanding...done.
2024-06-26 11:49:14: Copying contents of models-face-pt.zip to assets...done
2024-06-26 11:49:14: Installing Python packages for Face Processing
2024-06-26 11:49:14: [0;Installing GPU-enabled libraries: If available
2024-06-26 11:49:18: Ensuring Python package manager (pip) is installed...done
2024-06-26 11:49:23: Ensuring Python package manager (pip) is up to date...done
2024-06-26 11:49:23: Python packages specified by requirements.windows.cuda.txt
2024-06-26 11:49:28: - Installing urllib3, the HTTP client for Python...(âœ… checked) done
2024-06-26 11:49:30: - Installing Pandas, a data analysis / data manipulation tool...Already installed
2024-06-26 11:49:31: - Installing CoreMLTools, for working with .mlmodel format models...Already installed
2024-06-26 11:49:33: - Installing OpenCV, the Open source Computer Vision library...Already installed
2024-06-26 11:49:35: - Installing Pillow, a Python Image Library...Already installed
2024-06-26 11:49:36: - Installing SciPy, a library for mathematics, science, and engineering...Already installed
2024-06-26 11:49:38: - Installing PyYAML, a library for reading configuration files...Already installed
2024-06-26 11:54:03: - Installing PyTorch, an open source machine learning framework...(âœ… checked) done
2024-06-26 12:01:48: - Installing TorchVision, for working with computer vision models...(âœ… checked) done
2024-06-26 12:02:57: - Installing Seaborn, a data visualization library based on matplotlib...(âœ… checked) done
2024-06-26 12:03:40: - Installing the CodeProject.AI SDK...(âœ… checked) done
2024-06-26 12:03:40: Installing Python packages for the CodeProject.AI Server SDK
2024-06-26 12:03:42: Ensuring Python package manager (pip) is installed...done
2024-06-26 12:03:45: Ensuring Python package manager (pip) is up to date...done
2024-06-26 12:03:45: Python packages specified by requirements.txt
2024-06-26 12:03:48: - Installing Pillow, a Python Image Library...Already installed
2024-06-26 12:03:50: - Installing Charset normalizer...Already installed
2024-06-26 12:03:52: - Installing aiohttp, the Async IO HTTP library...Already installed
2024-06-26 12:03:53: - Installing aiofiles, the Async IO Files library...Already installed
2024-06-26 12:03:55: - Installing py-cpuinfo to allow us to query CPU info...Already installed
2024-06-26 12:03:57: - Installing Requests, the HTTP library...Already installed
2024-06-26 12:03:58: Scanning modulesettings for downloadable models...No models specified
2024-06-26 12:04:47: Fusing layers...
2024-06-26 12:05:11: YOLOv5m summary: 316 layers, 21468630 parameters, 0 gradients
2024-06-26 12:05:31: Self test: Self-test passed
2024-06-26 12:05:31: Module setup time 00:20:12.74
2024-06-26 12:05:31: Setup complete
2024-06-26 12:05:31: Total setup time 00:20:18.13
Installer exited with code 0

Re: Face recognition and face processing with Blue Iris

Chris Maunder16-Jul-24 7:53

Chris Maunder

16-Jul-24 7:53

winget isn't installed. Try running this under PowerShell:

PowerShell

Add-AppxPackage -RegisterByFamilyName -MainPackage Microsoft.DesktopAppInstaller_8wekyb3d8bbwe

See Use the winget tool to install and manage applications | Microsoft Learn

cheers
Chris Maunder

Re: Face recognition and face processing with Blue Iris

Bengt-Ove Peltz18hrs 31mins ago

Bengt-Ove Peltz

18hrs 31mins ago

Well that did the trick, thank you for helping me

Greets from Sweden
Bengt-Ove Peltz

Re: Face recognition and face processing with Blue Iris

Bengt-Ove Peltz16-Jul-24 5:08

Bengt-Ove Peltz

16-Jul-24 5:08

Server version: 2.6.5
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i5-6600K CPU @ 3.50GHz (Intel)
1 CPU x 4 cores. 4 logical processors (x64)
GPU (Primary): NVIDIA GeForce GTX 1070 (8 GiB) (NVIDIA)
Driver: 556.12, CUDA: 12.5 (up to: 12.5), Compute: 6.1, cuDNN: 8.5
System RAM: 16 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.10
.NET SDK: Not found
Default Python: Not found
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
NVIDIA GeForce GTX 1070:
Driver Version 32.0.15.5612
Video Processor NVIDIA GeForce GTX 1070
System GPU info:
GPU 3D Usage 3%
GPU RAM Usage 1,3 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168

Cartoonizer module (No module named 'codeproject_ai_sdk') - docker 2.6.5

Member 1623932215-Jul-24 12:25

Member 16239322

15-Jul-24 12:25

Hi.
I use docker version of codeproject.ai (2.6.5) with linux debian.

I installed module "Cartoonizer module" but when I want to start it - i get the following error:

01:11:33:WEIGHTS_FOLDER = <root>/modules/Cartoonizer/weights
01:11:33:
01:11:33:Started Cartoonizer module
01:11:33:cartoonizer_adapter.py: Traceback (most recent call last):
01:11:33:cartoonizer_adapter.py:   File "/app/modules/Cartoonizer/cartoonizer_adapter.py", line 5, in 
01:11:33:cartoonizer_adapter.py:     from codeproject_ai_sdk import RequestData, ModuleRunner, JSON
01:11:33:cartoonizer_adapter.py: ModuleNotFoundError: No module named 'codeproject_ai_sdk'
01:11:33:Module Cartoonizer has shutdown

Any ideas how to solve it? Thanks

Re: Cartoonizer module (No module named 'codeproject_ai_sdk') - docker 2.6.5

Sean Ewington16-Jul-24 2:58

Sean Ewington

16-Jul-24 2:58

Sounds like it didn't install properly. Please try uninstalling and reinstalling the module.

Thanks,
Sean Ewington
CodeProject

Re: Cartoonizer module (No module named 'codeproject_ai_sdk') - docker 2.6.5

Member 1623932217-Jul-24 8:58

Member 16239322

17-Jul-24 8:58

Thanks. It worked (the problem is solved). I will try the same way with another modules, where I met the same issues

API discovery endpoint

Jebus5914-Jul-24 12:21

Jebus59

14-Jul-24 12:21

I know you guys are busy getting 2.7 ready, but is there any way you could add to the todo list an /api discovery endpoint that returns all the enabled modules URL's at that point in time? Maybe with all parameters expected listed?

The API docs are mostly complete , but not.

eg:

Using the Llama chat module the api endpoint is /v1/text/chat...

I have not seen where /v1/LlamaChat/cancel_command?commandId=" & commandId is documented.

Took me a bit awhile back to figure it out. I read the scripts.

I can see where user created modules could benefit from API discovery...

Re: API discovery endpoint

Jebus5921-Jul-24 7:56

Jebus59

21-Jul-24 7:56

I found what I was looking for. /v1/module/list/running

I am amazed everytime I dive in...

I successfully cloned the LlamaChat module into LlamaCode

settingsSummary	"Module 'LlamaCode' 1.0.1 (ID: LlamaCode)\r\nValid:            True\r\nModule Path:      C:\\Program Files\\CodeProject\\AI\\modules\\LlamaCode\r\nModule Location:  Internal\r\nAutoStart:        True\r\nQueue:            llamacode_queue\r\nRuntime:          python3.9\r\nRuntime Location: Local\r\nFilePath:         llama_code_adapter.py\r\nStart pause:      0 sec\r\nParallelism:      1\r\nLogVerbosity:     \r\nPlatforms:        all,!windows-arm64,!raspberrypi,!orangepi,!radxarock,!jetson\r\nGPU Libraries:    installed if available\r\nGPU:              use if supported\r\nAccelerator:      \r\nHalf Precision:   enable\r\nEnvironment Variables\r\n   CPAI_LOG_VERBOSITY               = Quiet\r\n   CPAI_MODULE_LLAMA_MODEL_DIR      = ./models\r\n   CPAI_MODULE_LLAMA_MODEL_FILEGLOB = *.Q5_K_M.gguf\r\n   CPAI_MODULE_LLAMA_MODEL_FILENAME = Home-3B-v3.q5_k_m.gguf\r\n   CPAI_MODULE_LLAMA_MODEL_REPO     = @Llama/Home-3B-v3.q5_k_m.gguf"

Instead of switching models and restarting, I can play with two llm models switched with a checkbox in my client app.
A heavy system prompt stays loaded in each model and is much faster. It works perfectly.
I'm working on the test page in the explorer page now. The markdown script wont inject twice.
Each works seperatly if the other is disabled, but they won't play together. No big deal. I'll figure it out.
Thank you again for such a robust software package. I learn everytime I work with it.

Training fo Yolo 5 6.2 not working Classes

Angelo Munzi12-Jul-24 17:43

Angelo Munzi

12-Jul-24 17:43

Hi, when I try to run the training I can't download the Classes. The system remains stuck on Downloading.... on 2 different PC with Windows 10.
What could it depend on? Thank you.

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