CodeProject.AI Discussions

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

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

Found a bug? Got a Suggestion? Please read first!

Chris Maunder23-Sep-22 12:51

Chris Maunder

23-Sep-22 12:51

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.

Please include:

Environment:

What version of CodeProject.AI Server are you using?
What Operating system (include Windows version, or if docker just 'Docker')
Are you using a GPU? If so:
1. What brand / model of GPU
2. What driver version
3. If the card is Nvidia, what version of CUDA is 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 19-Dec-22 18:14pm.

Issue with AI not working (cancelling all motion)

Member 159016913hrs 39mins ago

Member 15901691

3hrs 39mins ago

I have been using Deepstack for more than a year and it was working fine until one day it just stopped working without  me making any changes.

It detects motion, but then will cancel and send it to the Cancelled Alerts folder... all of them.. on all cameras. I have 8 cameras and they are different brands.

What I have tried:

<pre>I tried so many things like...
uninstalling blue Iris and installing a fresh copy.. no fix. Changed hard drive, no fix.

Did a computer restore to the day before the issue started.. no fix.
Uninstalled Deepstack and installed Code Project.. no fix.. it behaves exactly the same way.

Installed Blue Iris on a completely different computer and setup Code Project.. same issue.. detects motion, but sends it to the Cancelled Alerts folder and no notification is sent.

Code Project page show Started and everything seems to be working fine, but it's not.
Here is a portion of the log...

1 3/24/2023 4:09:33.016 PM Driveway AI: Alert cancelled [AI: timeout] 15047ms
0 3/24/2023 4:09:42.437 PM New Delete: nothing to do [2.43T/2.44T, 1.19T free]
0 3/24/2023 4:09:42.534 PM Alerts Delete: 10 items 9.97M [168/168 hrs, 947.0M/1.00G, 1.19T free] 21 locked
2 3/24/2023 4:09:52.084 PM Driveway AI: timeout
1 3/24/2023 4:09:52.084 PM Driveway AI: Alert cancelled [AI: timeout] 15069ms
2 3/24/2023 4:10:11.026 PM Driveway AI: timeout
1 3/24/2023 4:10:11.026 PM Driveway AI: Alert cancelled [AI: timeout] 15057ms
3 3/24/2023 4:10:27.189 PM Driveway MOTION_A
2 3/24/2023 4:10:42.433 PM Driveway AI: timeout
1 3/24/2023 4:10:42.433 PM Driveway AI: Alert cancelled [AI: timeout] 15054ms
2 3/24/2023 4:10:48.492 PM Driveway AI: not responding
1 3/24/2023 4:10:48.493 PM Driveway AI: Alert cancelled [AI: not responding] 0ms
0 3/24/2023 4:11:32.649 PM App AI is being restarted
3 3/24/2023 4:11:46.006 PM Driveway MOTION_A
2 3/24/2023 4:12:01.255 PM Driveway AI: not responding
1 3/24/2023 4:12:01.255 PM Driveway AI: Alert cancelled [AI: not responding] 15055ms
1 3/24/2023 4:14:16.375 PM Shed-Outside Signal: network retry
4 3/24/2023 4:14:20.784 PM Shed-Outside Signal: restored
0 3/24/2023 4:14:42.872 PM Alerts Delete: 6 items 6.09M [168/168 hrs, 940.1M/1.00G, 1.19T free] 21 locked
3 3/24/2023 4:18:06.788 PM Driveway MOTION_A
2 3/24/2023 4:18:22.041 PM Driveway AI: timeout
1 3/24/2023 4:18:22.042 PM Driveway AI: Alert cancelled [AI: timeout] 15049ms
2 3/24/2023 4:18:27.907 PM Driveway AI: not responding
1 3/24/2023 4:18:27.908 PM Driveway AI: Alert cancelled [AI: not responding] 0ms
2 3/24/2023 4:18:31.691 PM Driveway AI: not responding
1 3/24/2023 4:18:31.691 PM Driveway AI: Alert cancelled [AI: not responding] 0ms
2 3/24/2023 4:18:45.248 PM Driveway AI: not responding
1 3/24/2023 4:18:45.248 PM Driveway AI: Alert cancelled [AI: not responding] 0ms
3 3/24/2023 4:18:58.907 PM Driveway MOTION_A
2 3/24/2023 4:19:14.160 PM Driveway AI: not responding
1 3/24/2023 4:19:14.160 PM Driveway AI: Alert cancelled [AI: not responding] 15057ms
0 3/24/2023 4:19:20.059 PM App AI is being restarted
3 3/24/2023 4:19:23.212 PM Driveway MOTION_A
2 3/24/2023 4:19:38.457 PM Driveway AI: timeout
1 3/24/2023 4:19:38.458 PM Driveway AI: Alert cancelled [AI: timeout] 15058ms
0 3/24/2023 4:19:43.195 PM Alerts Delete: 6 items 6.29M [168/168 hrs, 937.6M/1.00G, 1.19T free] 21 locked
2 3/24/2023 4:19:57.421 PM Driveway AI: timeout
1 3/24/2023 4:19:57.421 PM Driveway AI: Alert cancelled [AI: timeout] 15076ms
3 3/24/2023 4:20:08.929 PM Driveway MOTION_A
3 3/24/2023 4:20:09.926 PM Back MOTION_A
2 3/24/2023 4:20:24.181 PM Driveway AI: not responding
1 3/24/2023 4:20:24.181 PM Driveway AI: Alert cancelled [AI: not responding] 15052ms
2 3/24/2023 4:20:25.181 PM Back AI: timeout
1 3/24/2023 4:20:25.185 PM Back AI: Alert cancelled [AI: timeout] 15053ms
0 3/24/2023 4:21:15.906 PM App AI is being restarted
3 3/24/2023 4:22:09.765 PM Driveway MOTION_A
2 3/24/2023 4:22:24.995 PM Driveway AI: timeout
1 3/24/2023 4:22:24.995 PM Driveway AI: Alert cancelled [AI: timeout] 15050ms
2 3/24/2023 4:22:31.090 PM Driveway AI: not responding
1 3/24/2023 4:22:31.090 PM Driveway AI: Alert cancelled [AI: not responding] 0ms
3 3/24/2023 4:22:50.368 PM Driveway MOTION_A
2 3/24/2023 4:22:52.565 PM Driveway AI: not responding
1 3/24/2023 4:22:52.565 PM Driveway AI: Alert cancelled [AI: not responding] 0ms
0 3/24/2023 4:23:20.620 PM App AI is being restarted

I have contacted Blue Iris support, but their assistance is pretty much non-existent. I have been at this for almost 2 weeks now.

I don't know what else to do. Can anyone please advise what else I can try or what could be the issue?
Thanks.

Re: Issue with AI not working (cancelling all motion)

Mike Lud3hrs 10mins ago

Mike Lud

3hrs 10mins ago

Post a screenshot of your Blue Iris Main AI settings.
Also try running a test using the below link

http://localhost:32168/Vision.html[^]

Re: Issue with AI not working (cancelling all motion)

Member 159016913hrs 5mins ago

Member 15901691

3hrs 5mins ago

Sorry.. i don't understand where to post or see replies on this website.

Some Genuine Feedback :)

Duncan S19hrs 21mins ago

Duncan S

19hrs 21mins ago

Hey and thank you for allowing me in this thread.

I'm currently running CPAI in a docker on unraid and BI on a VM inside unraid also(all current latest versions).

My current feedback with this setup is the following. GPU = P4000 Quadro

1, Using a GPU only on Face & YOLO6.2 as the others are currently unavailable(OCR/PLATE).
2, No GPU stats on the main page "GPU 4.2GB/20%" just "CPU 12.2gb/ 10%".
3, No GPU Stats in the System info and the INFO button. Comes up when detected in logs but nothing showing in there or saying "USE CUDA = FALSE" even though its using the GPU.
4, The Face Minimum Recognition Confidence is defaulted to 0.6 and if you change it, and if you refresh the screen it reverts back to default of 0.6.
5, The log page is recording info wider than the window and you have to scroll across and is only limited to a couple of pages worth. The amount of requests that mines doing, in 10 seconds the info has dissappeared and scrolled away.
6, No way to update or add own models easily.
7, In face recognition when you click LIST registered faces, it just brings up the Names, would be great if you click the name you could add/edit photos.
8, in Community apps (unraid) maybe have a GPU version? maybe with all the path's eg. appdata already pre filled?
9, You guys are amazing keep up the great work. ADD A DONATE BUTTON Smile | Smile | :)

Thanks guys I hope this feeback can help make it a little bit better. Let me know if I can help test or anything.

Cheers.

Integration with blue iris numerous performance issues

Jacob Cauble24-Mar-23 6:55

Jacob Cauble

24-Mar-23 6:55

codeproject.ai 2.0.8-beta, windows 11 running blue iris as a service, cpu: i7-12700, 32 gb ram.

If I use either the yolo v5 or yolo.net (only one on at a time), there is constant ai timeouts and restarts of codeproject, but it seems it eventually (maybe after several hours) starts working ok. With yolo v5, I get person detection around 1500 ms and with yolo.net and gpu(direct ml) I get around 250 ms. If I try to use custom models on either setup, my entire system lags (the entire windows machine even trying to move the mouse around the screen), but the cpu and ram are not near max (maybe 40%, which does seem high). I also can't turn on the alpr, if I do, nothing is ever detected with any settings (gives ai error 404) and I read on a reddit post that unchecking the alpr option fixes it, this worked for me.

I currently have it set up with yolov5.net and it will not detect anything. The following logs appeared when one of my cameras should have detected a person:

2023-03-24 11:25:21: Client request 'detect' in the queue (#reqid 2b991573-624e-499f-b6d4-66f479e0158d)
2023-03-24 11:25:21: Request 'detect' dequeued for processing (#reqid 2b991573-624e-499f-b6d4-66f479e0158d)
2023-03-24 11:25:21: Client request 'detect' in the queue (#reqid 58e73744-f11d-4d73-ab31-0bd53dacdc55)
2023-03-24 11:25:21: Request 'detect' dequeued for processing (#reqid 58e73744-f11d-4d73-ab31-0bd53dacdc55)
2023-03-24 11:25:22: Client request 'detect' in the queue (#reqid 8b5dab51-cce8-4480-a784-66a552c5c43e)
2023-03-24 11:25:22: Request 'detect' dequeued for processing (#reqid 8b5dab51-cce8-4480-a784-66a552c5c43e)
2023-03-24 11:25:22: Client request 'detect' in the queue (#reqid 14492775-b40a-43f2-9e78-0adb91daa34e)
2023-03-24 11:25:22: Request 'detect' dequeued for processing (#reqid 14492775-b40a-43f2-9e78-0adb91daa34e)
2023-03-24 11:25:23: Client request 'detect' in the queue (#reqid 2af40938-6926-4459-98a0-e4b93f8295dd)
2023-03-24 11:25:23: Request 'detect' dequeued for processing (#reqid 2af40938-6926-4459-98a0-e4b93f8295dd)
2023-03-24 11:25:24: Client request 'detect' in the queue (#reqid 17c11ff0-8133-4fcb-8259-ce268864cf56)
2023-03-24 11:25:24: Request 'detect' dequeued for processing (#reqid 17c11ff0-8133-4fcb-8259-ce268864cf56)
2023-03-24 11:25:25: Client request 'detect' in the queue (#reqid 852b91c7-52b4-47c5-9a23-a90304ed0874)
2023-03-24 11:25:25: Request 'detect' dequeued for processing (#reqid 852b91c7-52b4-47c5-9a23-a90304ed0874)
2023-03-24 11:25:49: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:25:49: ObjectDetectionNet.exe: Pausing on error for 5 secs.
2023-03-24 11:25:49: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:25:49: ObjectDetectionNet.exe: Pausing on error for 10 secs.
2023-03-24 11:25:50: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:25:50: ObjectDetectionNet.exe: Pausing on error for 20 secs.
2023-03-24 11:25:55: ModuleRunner Stop
2023-03-24 11:25:55: Sending shutdown request to ObjectDetectionNet/ObjectDetectionNet
2023-03-24 11:25:55: Client request 'Quit' in the queue (#reqid a6478816-d616-4a0b-baa2-67bf38bba1f0)
2023-03-24 11:25:58: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:25:58: ObjectDetectionNet.exe: Pausing on error for 40 secs.
2023-03-24 11:26:03: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:03: ObjectDetectionNet.exe: Pausing on error for 60 secs.
2023-03-24 11:26:14: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:14: ObjectDetectionNet.exe: Pausing on error for 60 secs.
2023-03-24 11:26:28: Forcing shutdown of ObjectDetectionNet/ObjectDetectionNet
2023-03-24 11:26:28: Module ObjectDetectionNet has shutdown
2023-03-24 11:26:28: ObjectDetectionNet.exe: has exited
2023-03-24 11:26:30: ** Operating System: Windows (Microsoft Windows 11 version 10.0.22621)
2023-03-24 11:26:30: ** CPUs: 1 CPU x 12 cores. 20 logical processors (x64)
2023-03-24 11:26:30: ** GPU: Insignia USB3.0 To VGA Adapter (Insignia)
2023-03-24 11:26:30: ** Driver: 1.5.2201.426
2023-03-24 11:26:30: ** System RAM: 32 GiB
2023-03-24 11:26:30: ** Target: Windows
2023-03-24 11:26:30: ** BuildConfig: Release
2023-03-24 11:26:30: ** Execution Env: Native
2023-03-24 11:26:30: ** Runtime Env: Production
2023-03-24 11:26:30: ** .NET framework: .NET 7.0.3
2023-03-24 11:26:30: ** App DataDir: C:\ProgramData\CodeProject\AI
2023-03-24 11:26:36: System GPU info:
2023-03-24 11:26:36: GPU 3D Usage 4%
2023-03-24 11:26:36: GPU RAM Usage 0
2023-03-24 11:26:36: Video adapter info:
2023-03-24 11:26:36: Insignia USB3.0 To VGA Adapter:
2023-03-24 11:26:36: Adapter RAM 0
2023-03-24 11:26:36: Driver Version 1.5.2201.426
2023-03-24 11:26:36: Video Processor
2023-03-24 11:26:36: Intel(R) UHD Graphics 770:
2023-03-24 11:26:36: Adapter RAM 1,024 MiB
2023-03-24 11:26:36: Driver Version 30.0.101.2079
2023-03-24 11:26:36: Video Processor Intel(R) UHD Graphics Family
2023-03-24 11:26:36: ------------------------------------------------------------------
2023-03-24 11:26:36: ROOT_PATH = C:\Program Files\CodeProject\AI
2023-03-24 11:26:36: MODULES_PATH = C:\Program Files\CodeProject\AI\AnalysisLayer
2023-03-24 11:26:36: DOWNLOADED_MODULES_PATH = C:\Program Files\CodeProject\AI\modules
2023-03-24 11:26:36: PYTHON_BASEPATH = C:\Program Files\CodeProject\AI\AnalysisLayer\bin\windows\%PYTHON_RUNTIME%\venv
2023-03-24 11:26:36: PYTHON_PATH = C:\Program Files\CodeProject\AI\AnalysisLayer\bin\windows\%PYTHON_RUNTIME%\venv\scripts\Python
2023-03-24 11:26:36: Temp Dir: C:\WINDOWS\SystemTemp\
2023-03-24 11:26:36: Data Dir: C:\ProgramData\CodeProject\AI
2023-03-24 11:26:36: ------------------------------------------------------------------
2023-03-24 11:26:36: ModuleRunner Start
2023-03-24 11:26:37: Starting Background AI Modules
2023-03-24 11:26:39: Client request 'list-custom' in the queue (#reqid ee5cc12e-c789-4321-af09-fd64eeb6be70)
2023-03-24 11:26:40: Starting "C:\Program Files...ionNet\ObjectDetectionNet.exe"
2023-03-24 11:26:40:
2023-03-24 11:26:40: ** Module 'Object Detection (YOLOv5 .NET)' (ID: ObjectDetectionNet)
2023-03-24 11:26:40: ** Active: True
2023-03-24 11:26:40: ** GPU: Support enabled
2023-03-24 11:26:40: ** Parallelism: 0
2023-03-24 11:26:40: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-03-24 11:26:40: ** FilePath: ObjectDetectionNet.exe
2023-03-24 11:26:40: ** ModulePath: ObjectDetectionNet
2023-03-24 11:26:40: ** Install: PreInstalled
2023-03-24 11:26:40: ** Runtime: execute
2023-03-24 11:26:40: ** Queue: objectdetection_queue
2023-03-24 11:26:40: ** Start pause: 1 sec
2023-03-24 11:26:40: ** Valid: True
2023-03-24 11:26:40: ** Environment Variables
2023-03-24 11:26:40: ** CPAI_MODULE_SUPPORT_GPU = True
2023-03-24 11:26:40: ** CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%\custom-models
2023-03-24 11:26:40: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-03-24 11:26:40: ** MODEL_SIZE = MEDIUM
2023-03-24 11:26:40: ** USE_CUDA = True
2023-03-24 11:26:40:
2023-03-24 11:26:40: Started Object Detection (YOLOv5 .NET) module
2023-03-24 11:26:40: ObjectDetectionNet.exe: Application started. Press Ctrl+C to shut down.
2023-03-24 11:26:40: ObjectDetectionNet.exe: Hosting environment: Production
2023-03-24 11:26:40: ObjectDetectionNet.exe: Content root path: C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionNet
2023-03-24 11:26:41: Installing Initial Modules.
2023-03-24 11:26:41: ObjectDetectionNet.exe: Please ensure you don't enable this module along side any other Object Detection module using the 'vision/detection' route and 'objectdetection_queue' queue (eg. ObjectDetectionYolo). There will be conflicts
2023-03-24 11:26:41: Request 'list-custom' dequeued for processing (#reqid ee5cc12e-c789-4321-af09-fd64eeb6be70)
2023-03-24 11:26:41: Object Detection (Net): Object Detection (Net) module started. in Object Detection (Net)
2023-03-24 11:26:41: Object Detection (Net): Command completed in 4 ms. (command timing) in Object Detection (Net)
2023-03-24 11:26:41: Response received (#reqid ee5cc12e-c789-4321-af09-fd64eeb6be70)
2023-03-24 11:26:42: Sending shutdown request to ObjectDetectionNet/ObjectDetectionNet
2023-03-24 11:26:42: Client request 'Quit' in the queue (#reqid a89f8d45-7c3c-4401-9a5d-381b64955737)
2023-03-24 11:26:42: Request 'Quit' dequeued for processing (#reqid a89f8d45-7c3c-4401-9a5d-381b64955737)
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-03-24 11:26:42: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-03-24 11:26:42: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-03-24 11:26:42: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-03-24 11:26:42: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-03-24 11:26:42: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-03-24 11:26:42: Latest version available is 2.0.8-Beta
2023-03-24 11:26:42: Current Version is 2.0.8-Beta
2023-03-24 11:26:42: Server: This is the latest version
2023-03-24 11:27:15: Forcing shutdown of ObjectDetectionNet/ObjectDetectionNet
2023-03-24 11:27:15: Module ObjectDetectionNet has shutdown
2023-03-24 11:27:15: ObjectDetectionNet.exe: has exited
2023-03-24 11:27:15: Starting "C:\Program Files...ionNet\ObjectDetectionNet.exe"
2023-03-24 11:27:15:
2023-03-24 11:27:15: ** Module 'Object Detection (YOLOv5 .NET)' (ID: ObjectDetectionNet)
2023-03-24 11:27:15: ** Active: True
2023-03-24 11:27:15: ** GPU: Support enabled
2023-03-24 11:27:15: ** Parallelism: 0
2023-03-24 11:27:15: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-03-24 11:27:15: ** FilePath: ObjectDetectionNet.exe
2023-03-24 11:27:15: ** ModulePath: ObjectDetectionNet
2023-03-24 11:27:15: ** Install: PreInstalled
2023-03-24 11:27:15: ** Runtime: execute
2023-03-24 11:27:15: ** Queue: objectdetection_queue
2023-03-24 11:27:15: ** Start pause: 1 sec
2023-03-24 11:27:15: ** Valid: True
2023-03-24 11:27:15: ** Environment Variables
2023-03-24 11:27:15: ** CPAI_MODULE_SUPPORT_GPU = True
2023-03-24 11:27:15: ** CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%\custom-models
2023-03-24 11:27:15: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-03-24 11:27:15: ** MODEL_SIZE = MEDIUM
2023-03-24 11:27:15: ** USE_CUDA = True
2023-03-24 11:27:15:
2023-03-24 11:27:15: Started Object Detection (YOLOv5 .NET) module

2.0.8-Beta Superresolution fails to start

Member 1595884023-Mar-23 15:10

Member 15958840

23-Mar-23 15:10

Python 3.10.6. I've install aiohttp via pip in the container.

0:57:24:superres_adapter.py: Traceback (most recent call last):
20:57:24:superres_adapter.py:   File "/app/modules/SuperResolution/superres_adapter.py", line 11, in 
20:57:24:superres_adapter.py:     from analysis.codeprojectai import CodeProjectAIRunner
20:57:24:superres_adapter.py:   File "/app/modules/SuperResolution/../../SDK/Python/analysis/codeprojectai.py", line 30, in 
20:57:24:superres_adapter.py:     import aiohttp
20:57:24:superres_adapter.py: ModuleNotFoundError: No module named 'aiohttp'

2.0.8 Beta switching module to GPU python errors

Member 1595884022-Mar-23 4:50

Member 15958840

22-Mar-23 4:50

Running in Docker Ubuntu 22.04.2 LTS.
When I click "Enable GPU' the following error is produced.

<pre>10:49:01:superres_adapter.py: Traceback (most recent call last):
10:49:01:superres_adapter.py: File "/app/modules/SuperResolution/superres_adapter.py", line 11, in
10:49:01:superres_adapter.py: from analysis.codeprojectai import CodeProjectAIRunner
10:49:01:superres_adapter.py: File "/app/modules/SuperResolution/../../SDK/Python/analysis/codeprojectai.py", line 30, in
10:49:01:superres_adapter.py: import aiohttp
10:49:01:superres_adapter.py: ModuleNotFoundError: No module named 'aiohttp'</pre>

Re: 2.0.8 Beta switching module to GPU python errors

theoldfool22-Mar-23 23:37

theoldfool

22-Mar-23 23:37

well, I have never seen that and AI on Docker is working here with Nvidia card. Perhaps wrong version of Python or need to install aiohttp:
[Fixed] ModuleNotFoundError: No module named ‘aiohttp’ – Be on the Right Side of Change[^]

>64
Some days the dragon wins. Suck it up.

Re: 2.0.8 Beta switching module to GPU python errors

Member 1595884023-Mar-23 15:12

Member 15958840

23-Mar-23 15:12

Python 3.10.6

I've install aiohttp inside the container and still get the same error.

ALPR / Plates recognition result

Member 1587624121-Mar-23 6:17

Member 15876241

21-Mar-23 6:17

I wanted to see if there is a way to make the ALPR to generate a list of plates that have been recognized.

I'm using the ALPR with the Agent DVR but it doesn't seem like they have the function of generating the list of plates that were recognized. (They provide pictures, but I can't search for it). So I wanted to know if the AI kept a list of result somewhere? Or can I make it to generate a list of result?

Thank you.

Windows Installation Path change

BetaTesterDDS19-Mar-23 4:00

BetaTesterDDS

19-Mar-23 4:00

I need to be able to install CP to another drive and not on c:\ How can this be done? Thanks...

Super Resolution

Member 1587624118-Mar-23 11:33

Member 15876241

18-Mar-23 11:33

Just a question on the Super Resolution, when I run the Super Resolution it enlarges the photo. Is it normal? Or there is something wrong with my set up? (See attached before and after)

Unable to run OCR with GPU

Member 1595516818-Mar-23 6:37

Member 15955168

18-Mar-23 6:37

Fresh install of 2.0.8-Beta (uninstall, remove ProgramData / Program Files folders, reboot)
Unable to figure out how to install non-beta version of 2.0.8, but the beta seems to be making my BI unstable - it's been crashing every now and again. It was working pretty stable on the regular 2.0.8

Below is the log attempting to run OCR with GPU enabled - it seems to just exit before getting to dt_boxes:

2023-03-18 11:10:56: Latest version available is 2.0.8-Beta
2023-03-18 11:12:21: Preparing to install module 'OCR'
2023-03-18 11:12:21: Downloading module 'OCR'
2023-03-18 11:12:21: Installing module 'OCR'
2023-03-18 11:12:21: OCR: [0;33m[49m             Installing CodeProject.AI Analysis Module                [0m
2023-03-18 11:12:21: OCR: [0;32m[49m========================================================================[0m
2023-03-18 11:12:21: OCR: [0;32m[49m                   CodeProject.AI Installer                             [0m
2023-03-18 11:12:21: OCR: [0;32m[49m========================================================================[0m
2023-03-18 11:12:21: OCR: [0;39m[49mCUDA Present...[0m[0;92m[49mTrue[0m
2023-03-18 11:12:21: OCR: [0;39m[49mAllowing GPU Support: [0m[0;92m[49mYes[0m
2023-03-18 11:12:21: OCR: [0;39m[49mAllowing CUDA Support: [0m[0;92m[49mYes[0m
2023-03-18 11:12:21: OCR: [0;97m[104mGeneral CodeProject.AI setup                                          [0m
2023-03-18 11:12:21: OCR: [0;39m[49mCreating Directories...[0m[0;92m[49mDone[0m
2023-03-18 11:12:21: OCR: [0;97m[104mInstalling module OCR                                                 [0m
2023-03-18 11:12:21: OCR: [0;97m[49mDownloading Python 3.7 interpreter...[0m[0;93m[49mChecking 'C:\Program Files\CodeProject\AI\downloads\windows\python37\python37.zip'[0m
2023-03-18 11:12:25: OCR: [0;93m[49mExpanding...[0m[0;92m[49mDone.[0m
2023-03-18 11:12:34: OCR: [0;39m[49mCreating Virtual Environment...[0m[0;92m[49mDone[0m
2023-03-18 11:12:34: OCR: [0;39m[49mEnabling our Virtual Environment...[0m[0;92m[49mDone[0m
2023-03-18 11:12:34: OCR: [0;39m[49mConfirming we have Python 3.7...[0m[0;92m[49mpresent[0m
2023-03-18 11:12:34: OCR: [0;39m[49mEnsuring Python package manager (pip) is installed...[0m[0;92m[49mDone[0m
2023-03-18 11:12:41: OCR: [0;39m[49mEnsuring Python package manager (pip) is up to date...[0m[0;92m[49mDone[0m
2023-03-18 11:12:41: OCR: [0;93m[49mInstalling Python packages from requirements.windows.cuda.txt[0m
2023-03-18 11:14:13: Latest version available is 2.0.8-Beta
2023-03-18 11:14:33: Sending shutdown request to python/FaceProcessing
2023-03-18 11:14:33: Request 'Quit' dequeued for processing (#reqid 85987f0c-5c92-4107-89f5-b8987f6d7ea6)
2023-03-18 11:14:33: Client request 'Quit' in the queue (#reqid 85987f0c-5c92-4107-89f5-b8987f6d7ea6)
2023-03-18 11:14:33: Face Processing: Retrieved face_queue command in Face Processing
2023-03-18 11:14:36: Sending shutdown request to python/ObjectDetectionYolo
2023-03-18 11:14:36: Request 'Quit' dequeued for processing (#reqid ce1bbbfe-d053-4c3b-9f2e-20d78b32ac1d)
2023-03-18 11:14:36: Client request 'Quit' in the queue (#reqid ce1bbbfe-d053-4c3b-9f2e-20d78b32ac1d)
2023-03-18 11:14:36: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-03-18 11:14:38: Module ObjectDetectionYolo has shutdown
2023-03-18 11:14:38: detect_adapter.py: has exited
2023-03-18 11:15:06: Forcing shutdown of python/FaceProcessing
2023-03-18 11:15:06: Module intelligencelayer has shutdown
2023-03-18 11:15:06: face.py: has exited
2023-03-18 11:15:09: ObjectDetectionYolo went quietly
2023-03-18 11:18:38: OCR: [0;39m[49mInstalling Packages into Virtual Environment...[0m[0;92m[49mSuccess[0m
2023-03-18 11:18:39: OCR: [0;39m[49mEnsuring Python package manager (pip) is installed...[0m[0;92m[49mDone[0m
2023-03-18 11:18:41: OCR: [0;39m[49mEnsuring Python package manager (pip) is up to date...[0m[0;92m[49mDone[0m
2023-03-18 11:18:41: OCR: [0;93m[49mInstalling Python packages from requirements.txt[0m
2023-03-18 11:18:48: OCR: [0;39m[49mInstalling Packages into Virtual Environment...[0m[0;92m[49mSuccess[0m
2023-03-18 11:18:48: OCR: [0;97m[49mDownloading OCR models...[0m[0;93m[49mChecking 'C:\Program Files\CodeProject\AI\downloads\OCR\paddleocr-models.zip'[0m
2023-03-18 11:18:55: OCR: [0;93m[49mExpanding...[0m[0;92m[49mDone.[0m
2023-03-18 11:18:55: OCR: [0;93m[49mApplying patch for PaddlePaddle[0m
2023-03-18 11:18:55: OCR:         1 file(s) copied.
2023-03-18 11:18:55: OCR: [0;97m[42mModule setup complete                                                 [0m
2023-03-18 11:18:55: Module OCR installed successfully.
2023-03-18 11:18:55: Starting C:\Program Files...ws\python37\venv\Scripts\python "C:\Program Files...AI\modules\OCR\OCR_adapter.py"
2023-03-18 11:18:55: 
2023-03-18 11:18:55: ** Module 'Optical Character Recognition' (ID: OCR)
2023-03-18 11:18:55: ** Active:      True
2023-03-18 11:18:55: ** GPU:         Support enabled
2023-03-18 11:18:55: ** Parallelism: 0
2023-03-18 11:18:55: ** Platforms:   windows,linux,macos,macos-arm64
2023-03-18 11:18:55: ** FilePath:    OCR_adapter.py
2023-03-18 11:18:55: ** ModulePath:  OCR
2023-03-18 11:18:55: ** Install:     PostInstalled
2023-03-18 11:18:55: ** Runtime:
2023-03-18 11:18:55: ** Queue:       OCR_queue
2023-03-18 11:18:55: ** Start pause: 1 sec
2023-03-18 11:18:55: ** Valid:       True
2023-03-18 11:18:55: ** Environment Variables
2023-03-18 11:18:55: 
2023-03-18 11:18:55: Started Optical Character Recognition module
2023-03-18 11:18:55: Installer exited with code 0

11:18:55:Module OCR installed successfully.
11:18:55:Starting C:\Program Files...ws\python37\venv\Scripts\python "C:\Program Files...AI\modules\OCR\OCR_adapter.py"
11:18:55:
11:18:55:Module 'Optical Character Recognition' (ID: OCR)
11:18:55:Active:      True
11:18:55:GPU:         Support enabled
11:18:55:Parallelism: 0
11:18:55:Platforms:   windows,linux,macos,macos-arm64
11:18:55:FilePath:    OCR_adapter.py
11:18:55:ModulePath:  OCR
11:18:55:Install:     PostInstalled
11:18:55:Runtime:
11:18:55:Queue:       OCR_queue
11:18:55:Start pause: 1 sec
11:18:55:Valid:       True
11:18:55:Environment Variables
11:18:55:
11:18:55:Started Optical Character Recognition module
11:18:55:Installer exited with code 0
11:18:56:Module OCR started successfully.
11:18:58:OCR_adapter.py: [2023/03/18 11:18:58] ppocr DEBUG: Namespace(alpha=1.0, benchmark=False, beta=1.0, cls_batch_num=6, cls_image_shape='3, 48, 192', cls_model_dir='paddleocr/ch_ppocr_mobile_v2.0_cls_infer', cls_thresh=0.9, cpu_threads=10, crop_res_save_dir='./output', det=True, det_algorithm='DB', det_db_box_thresh=0.4, det_db_score_mode='fast', det_db_thresh=0.3, det_db_unclip_ratio=2.0, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_east_score_thresh=0.8, det_fce_box_type='poly', det_limit_side_len=960, det_limit_type='max', det_model_dir='paddleocr/en_PP-OCRv3_det_infer', det_pse_box_thresh=0.85, det_pse_box_type='quad', det_pse_min_area=16, det_pse_scale=1, det_pse_thresh=0, det_sast_nms_thresh=0.2, det_sast_polygon=False, det_sast_score_thresh=0.5, draw_img_save_dir='./inference_results', drop_score=0.4, e2e_algorithm='PGNet', e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_limit_side_len=768, e2e_limit_type='max', e2e_model_dir=None, e2e_pgnet_mode='fast', e2e_pgnet_score_thresh=0.5, e2e_pgnet_valid_set='totaltext', enable_mkldnn=False, fourier_degree=5, gpu_mem=500, help='==SUPPRESS==', image_dir=None, image_orientation=False, ir_optim=True, kie_algorithm='LayoutXLM', label_list=['0', '180'], lang='en', layout=True, layout_dict_path=None, layout_model_dir=None, layout_nms_threshold=0.5, layout_score_threshold=0.5, max_batch_size=10, max_text_length=25, merge_no_span_structure=True, min_subgraph_size=15, mode='structure', ocr=True, ocr_order_method=None, ocr_version='PP-OCRv3', output='./output', precision='fp32', process_id=0, rec=True, rec_algorithm='CRNN', rec_batch_num=6, rec_char_dict_path='C:\\Program Files\\CodeProject\\AI\\modules\\OCR\\bin\\windows\\python37\\venv\\lib\\site-packages\\paddleocr\\ppocr\\utils\\en_dict.txt', rec_image_shape='3, 48, 320', rec_model_dir='paddleocr/en_PP-OCRv3_rec_infer', recovery=False, save_crop_res=False, save_log_path='./log_output/', save_pdf=False, scales=[8, 16, 32], ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ser_model_dir=None, shape_info_filename=None, show_log=True, sr_batch_num=1, sr_image_shape='3, 32, 128', sr_model_dir=None, structure_version='PP-Structurev2', table=True, table_algorithm='TableAttn', table_char_dict_path=None, table_max_len=488, table_model_dir=None, total_process_num=1, type='ocr', use_angle_cls=False, use_dilation=False, use_gpu=True, use_mp=False, use_onnx=False, use_pdserving=False, use_space_char=True, use_tensorrt=False, use_xpu=False, vis_font_path='./doc/fonts/simfang.ttf', warmup=False)
11:19:02:Optical Character Recognition: Running init for Optical Character Recognition
11:19:02:Optical Character Recognition: Optical Character Recognition started.
11:19:26:Client request 'list-custom' in the queue (...881c62)
11:19:26:Client request 'list-custom' in the queue (...2465df)
11:19:29:Client request 'ocr' in the queue (...1d5b5d)
11:19:29:Request 'ocr' dequeued for processing (...1d5b5d)
11:19:29:OCR_adapter.py: [2023/03/18 11:19:29] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process
11:19:33:Module OCR has shutdown
11:19:33:OCR_adapter.py: has exited

If I disable GPU, it works just fine:

11:21:45:Starting C:\Program Files...ws\python37\venv\Scripts\python "C:\Program Files...AI\modules\OCR\OCR_adapter.py"
11:21:45:
11:21:45:Module 'Optical Character Recognition' (ID: OCR)
11:21:45:Active:      True
11:21:45:GPU:         Support disabled
11:21:45:Parallelism: 0
11:21:45:Platforms:   windows,linux,macos,macos-arm64
11:21:45:FilePath:    OCR_adapter.py
11:21:45:ModulePath:  OCR
11:21:45:Install:     PostInstalled
11:21:45:Runtime:
11:21:45:Queue:       OCR_queue
11:21:45:Start pause: 1 sec
11:21:45:Valid:       True
11:21:45:Environment Variables
11:21:45:
11:21:45:Started Optical Character Recognition module
11:21:46:OCR_adapter.py: [2023/03/18 11:21:46] ppocr DEBUG: Namespace(alpha=1.0, benchmark=False, beta=1.0, cls_batch_num=6, cls_image_shape='3, 48, 192', cls_model_dir='paddleocr/ch_ppocr_mobile_v2.0_cls_infer', cls_thresh=0.9, cpu_threads=10, crop_res_save_dir='./output', det=True, det_algorithm='DB', det_db_box_thresh=0.4, det_db_score_mode='fast', det_db_thresh=0.3, det_db_unclip_ratio=2.0, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_east_score_thresh=0.8, det_fce_box_type='poly', det_limit_side_len=960, det_limit_type='max', det_model_dir='paddleocr/en_PP-OCRv3_det_infer', det_pse_box_thresh=0.85, det_pse_box_type='quad', det_pse_min_area=16, det_pse_scale=1, det_pse_thresh=0, det_sast_nms_thresh=0.2, det_sast_polygon=False, det_sast_score_thresh=0.5, draw_img_save_dir='./inference_results', drop_score=0.4, e2e_algorithm='PGNet', e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_limit_side_len=768, e2e_limit_type='max', e2e_model_dir=None, e2e_pgnet_mode='fast', e2e_pgnet_score_thresh=0.5, e2e_pgnet_valid_set='totaltext', enable_mkldnn=False, fourier_degree=5, gpu_mem=500, help='==SUPPRESS==', image_dir=None, image_orientation=False, ir_optim=True, kie_algorithm='LayoutXLM', label_list=['0', '180'], lang='en', layout=True, layout_dict_path=None, layout_model_dir=None, layout_nms_threshold=0.5, layout_score_threshold=0.5, max_batch_size=10, max_text_length=25, merge_no_span_structure=True, min_subgraph_size=15, mode='structure', ocr=True, ocr_order_method=None, ocr_version='PP-OCRv3', output='./output', precision='fp32', process_id=0, rec=True, rec_algorithm='CRNN', rec_batch_num=6, rec_char_dict_path='C:\\Program Files\\CodeProject\\AI\\modules\\OCR\\bin\\windows\\python37\\venv\\lib\\site-packages\\paddleocr\\ppocr\\utils\\en_dict.txt', rec_image_shape='3, 48, 320', rec_model_dir='paddleocr/en_PP-OCRv3_rec_infer', recovery=False, save_crop_res=False, save_log_path='./log_output/', save_pdf=False, scales=[8, 16, 32], ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ser_model_dir=None, shape_info_filename=None, show_log=True, sr_batch_num=1, sr_image_shape='3, 32, 128', sr_model_dir=None, structure_version='PP-Structurev2', table=True, table_algorithm='TableAttn', table_char_dict_path=None, table_max_len=488, table_model_dir=None, total_process_num=1, type='ocr', use_angle_cls=False, use_dilation=False, use_gpu=False, use_mp=False, use_onnx=False, use_pdserving=False, use_space_char=True, use_tensorrt=False, use_xpu=False, vis_font_path='./doc/fonts/simfang.ttf', warmup=False)
11:21:49:Optical Character Recognition: Running init for Optical Character Recognition
11:21:49:Optical Character Recognition: Optical Character Recognition started.
11:22:20:Client request 'ocr' in the queue (...1cd44a)
11:22:20:Request 'ocr' dequeued for processing (...1cd44a)
11:22:20:OCR_adapter.py: [2023/03/18 11:22:20] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process
11:22:20:OCR_adapter.py: [2023/03/18 11:22:20] ppocr DEBUG: dt_boxes num : 8, elapse : 0.031999826431274414
11:22:20:OCR_adapter.py: [2023/03/18 11:22:20] ppocr DEBUG: rec_res num  : 8, elapse : 0.5889990329742432
11:22:20:Optical Character Recognition: Retrieved OCR_queue command
11:22:20:Optical Character Recognition: Queue and Processing Optical Character Recognition command 'ocr' (...1cd44a) took 639ms
11:22:20:Response received (...1cd44a)

System Info:

Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs:             1 CPU x 12 cores. 20 logical processors (x64)
GPU:              NVIDIA GeForce RTX 4070 Ti (12 GiB) (NVidia) 
                  Driver: 531.29 CUDA: 12.1 Compute: 8.9
System RAM:       64 GiB
Target:           Windows
BuildConfig:      Release
Execution Env:    Native
Runtime Env:      Production
.NET framework:   .NET 7.0.3
System GPU info:
  GPU 3D Usage       1%
  GPU RAM Usage      1.1 GiB
Video adapter info:
  Citrix Indirect Display Adapter:
    Adapter RAM        0
    Driver Version     12.40.44.247
    Video Processor    
  NVIDIA GeForce RTX 4070 Ti:
    Adapter RAM        4 GiB
    Driver Version     31.0.15.3129
    Video Processor    NVIDIA GeForce RTX 4070 Ti
  Intel(R) UHD Graphics 770:
    Adapter RAM        1,024 MiB
    Driver Version     31.0.101.4091
    Video Processor    Intel(R) UHD Graphics Family
Global Environment variables:
  CPAI_APPROOTPATH = C:\Program Files\CodeProject\AI
  CPAI_PORT        = 32168

Re: Unable to run OCR with GPU

Member 1595516818-Mar-23 12:34

Member 15955168

18-Mar-23 12:34

Looks like this may have been related to CUDA 12.1 drivers being installed.
I've cleaned up all NVIDIA CUDA 12.1 stuff and with 11.7 the CUDA crash on OCR does not happen.
Testing disabling detect static objects in BI to see if my BI crashes persist or not.
If I get a stable run for a few hours, I'll try turning it back on to see if that is the issue with BI crashes.
My BI crash may be related to being on NVIDIA latest drivers, so I'll test downgrading this as well if my issues persist.

Re: Unable to run OCR with GPU

Member 1595516820-Mar-23 3:19

Member 15955168

20-Mar-23 3:19

So, it seems I found the culprit for my BI crashes! It was including the term 'vehicle' in the To confirm field in the trigger AI configuration.
Everything seems to be running smooth with latest nvidia drivers and CUDA 11.7 Wink | ;)

Re: Unable to run OCR with GPU

Matthew Dennis21hrs 27mins ago

Matthew Dennis

21hrs 27mins ago

There is a bug in 2.0.8 with the OCR module and setting up PaddlePaddle for GPU.
Install the ALPR module and it will fix the problem so OCR can work.
You can uninstall the ALPR after that if you don't need it and want to save space.

"Mistakes are prevented by Experience. Experience is gained by making mistakes."

Production Use

Nejimon CR18-Mar-23 6:16

Nejimon CR

18-Mar-23 6:16

Is CodeProject.AI Server recommended for production use from a stability and roadmap perspective? With SSPL license, what do the license terms and support look like if one needs to use it in a commercial closed-source application?

Re: Production Use

Chris Maunder20-Mar-23 10:01

Chris Maunder

20-Mar-23 10:01

SSPL is very permissive with the exception of situations where you wish to host it as a service and charge users for that service. Doesn't sound applicable to you!

Stability: We're still beta, but it's been solid for us and others, but this does depend on the modules you have and your hardware.

Roadmap: we're continually updating, upgrading, adding functionality, and most importantly, focussing on the task of enabling awesome AI projects that were isolated in demo-land to be packaged up and brought safely into production-land.

cheers
Chris Maunder

My Robot Mower is always recognized as a car :) models:how to improve?

Member 1595489517-Mar-23 22:56

Member 15954895

17-Mar-23 22:56

Hi guyz!
Happy to use this fabulous AI product merged with BlueIris.

I'm having 15 external cams and a huge garden (>20.000m²): I've restarted for the coming spring my 3 robomower (Robomow RK4000 products) to work during night. Problem: they're systematically recognized as cars!! And thus launching alerts...

Because of my cam location on differents places all over the garden, I want to analyse both the entry, the road to the house (private road) but also the garden itself. (don't want to mask part image analysis because bad guys may not want to use the road but may use the garden!)

My question:
how can I integrate my robot mower pattern: inside a (new?) model ??
maybe someone already having this problem and work on the subject?

I've collected 30/40 vids of my robomower seens on different angles/during day/during night.
I'm ready to work on this topic, but I don't know how to start? Any help please?

Also, if someone else is having same problem maybe we can merge our vids to enhance the recognition pattern?

Last question: integrating such new model is not risky I mean car may be recognized as robotmower and vice versa ?? (currently recognized as cars)

Thanks for explanation and tips! Smile | :)

modified 18-Mar-23 9:59am.

Re: My Robot Mower is always recognized as a car :) models:how to improve?

theoldfool18-Mar-23 5:14

theoldfool

18-Mar-23 5:14

Not sure you can modify, although you could create your own model.
As a workaround for that camera, select person only. If someone invades you garden in a vehicle, it would alert when they get out.

>64
Some days the dragon wins. Suck it up.

Re: My Robot Mower is always recognized as a car :) models:how to improve?

Mike Lud18-Mar-23 5:52

Mike Lud

18-Mar-23 5:52

Just recently released you can now add zone letter to the To confirm. With this new feature you can setup a zone A where only person would be and second zone B where both person and car would be. Then in the To confirm use person:AB,car:B

Re: My Robot Mower is always recognized as a car :) models:how to improve?

Member 1595489518-Mar-23 6:26

Member 15954895

18-Mar-23 6:26

Thanks for this really interesting information!! Smile | :)

JIT Just In Time (6th March) to solve my current robomower problem! Smile | :)

I'll test ASAP and give you my feedback on it!
Have a beautiful day! Wink | ;)

Updated to 2.0.8 and now cant start service

Member 1595377716-Mar-23 14:13

Member 15953777

16-Mar-23 14:13

Hi,

I updated to 2.0.8 and the service now wont start. Ive tried uninstalling and reinstalling and still no good. Starting through services it will error out and starting by running our of the folder I get the following:

Any ideas to get this back up and going?

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