Blue Iris and CodeProject.AI ALPR

[sdennis]

Thank you very much. So does this mean that the CUDA special sauce isn't in play?
Is the custom model for the ALPR "license-plate"?

 

[MikeLud1]

So does this mean that the CUDA special sauce isn't in play?

Object Detection (YOLOv5 .NET) does not uses CUDA it uses DirectML

Is the custom model for the ALPR "license-plate"?

Yes, you also need the License Plate Reader module installed to do ALPR, this module does use CUDA, It needs CUDA 12.4 for you GPU

 

[sdennis]

Again thanks for the pointers. I have the License Plate Reader module installed

Module 'License Plate Reader' 3.3.4 (ID: ALPR)
Valid: True
Module Path: <root>\modules\ALPR
Module Location: Internal
AutoStart: True
Queue: alpr_queue
Runtime: python3.9
Runtime Location: Local
FilePath: ALPR_adapter.py
Start pause: 3 sec
Parallelism: 0
LogVerbosity:
Platforms: all,!windows-arm64
GPU Libraries: installed if available
GPU: use if supported
Accelerator:
Half Precision: enable
Environment Variables
AUTO_PLATE_ROTATE = True
CROPPED_PLATE_DIR = <root>\Server\wwwroot
MIN_COMPUTE_CAPABILITY = 6
MIN_CUDNN_VERSION = 7
OCR_OPTIMAL_CHARACTER_HEIGHT = 60
OCR_OPTIMAL_CHARACTER_WIDTH = 30
OCR_OPTIMIZATION = True
PLATE_CONFIDENCE = 0.55
PLATE_RESCALE_FACTOR = 2
PLATE_ROTATE_DEG = 0
REMOVE_SPACES = False
ROOT_PATH = <root>
SAVE_CROPPED_PLATE = False
Status Data: {
"inferenceDevice": "GPU",
"inferenceLibrary": "CUDA",
"canUseGPU": "true",
"successfulInferences": 0,
"failedInferences": 0,
"numInferences": 0,
"averageInferenceMs": 0
}
Started: 25 Sep 2025 6:00:10 PM Pacific Standard Time
LastSeen: 25 Sep 2025 6:20:27 PM Pacific Standard Time
Status: Started
Requests: 0 (includes status calls)



Installation Log
2025-09-25 13:15:47: Installing CodeProject.AI Analysis Module
2025-09-25 13:15:47: ======================================================================
2025-09-25 13:15:47: CodeProject.AI Installer
2025-09-25 13:15:47: ======================================================================
2025-09-25 13:15:48: 1646.6Gb of 1906Gb available on (No label) (Windows 11 x86_64 - windows)
2025-09-25 13:15:48: General CodeProject.AI setup
2025-09-25 13:15:48: Checking for VC++ Redist...v14 Present.
2025-09-25 13:15:48: Creating Directories...done
2025-09-25 13:15:48: GPU support
2025-09-25 13:15:49: CUDA Present...Yes (CUDA 12.2, No cuDNN found, CUDA Toolkit: true)
2025-09-25 13:15:49: ROCm Present...No
2025-09-25 13:15:49: Checking for .NET 9.0...Checking runtimes...All good. Found .NET aspnetcore 9
2025-09-25 13:15:50: Reading ALPR settings.......done
2025-09-25 13:15:50: Installing module License Plate Reader 3.3.4 (Internal)
2025-09-25 13:15:50: Installing Python 3.9
2025-09-25 13:15:50: Python 3.9 is already installed
2025-09-25 13:15:55: Creating Virtual Environment (Local)...done
2025-09-25 13:15:55: Confirming we have Python 3.9 in our virtual environment...present
2025-09-25 13:15:55: Downloading ALPR models...already exists...Expanding...done.
2025-09-25 13:15:55: Copying contents of ocr-en-pp_ocrv4-paddle.zip to paddleocr...done
2025-09-25 13:15:57: Checking CPU compatibility...All good
2025-09-25 13:15:57: Installing Python packages for License Plate Reader
2025-09-25 13:15:57: [0;Installing GPU-enabled libraries: If available
2025-09-25 13:15:58: Ensuring Python package manager (pip) is installed...done
2025-09-25 13:16:05: Ensuring Python package manager (pip) is up to date...done
2025-09-25 13:16:05: Python packages specified by requirements.windows.cuda12.txt
2025-09-25 13:16:10: - Installing NumPy, a package for scientific computing...(✅ checked) done
2025-09-25 13:16:41: - Installing PaddlePaddle, Parallel Distributed Deep Learning...(✅ checked) done
2025-09-25 13:17:36: - Installing PaddleOCR, the OCR toolkit based on PaddlePaddle...(✅ checked) done
2025-09-25 13:17:37: - Installing imutils, the image utilities library...(✅ checked) done
2025-09-25 13:17:43: - Installing the CodeProject.AI SDK...(✅ checked) done
2025-09-25 13:17:43: Scanning modulesettings for downloadable models...No models specified
2025-09-25 13:17:43: Executing post-install script for License Plate Reader
2025-09-25 13:17:52: Traceback (most recent call last):
2025-09-25 13:17:52: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 105, in
2025-09-25 13:17:52: ALPR_adapter().start_loop()
2025-09-25 13:17:52: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\codeproject_ai_sdk\module_runner.py", line 278, in start_loop
2025-09-25 13:17:52: self.initialise()
2025-09-25 13:17:52: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 43, in initialise
2025-09-25 13:17:52: init_detect_platenumber(self.opts)
2025-09-25 13:17:52: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR.py", line 40, in init_detect_platenumber
2025-09-25 13:17:52: ocr = PaddleOCR(lang = opts.language,
2025-09-25 13:17:52: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddleocr\pipelines\ocr.py", line 163, in __init_
2025-09-25 13:17:52: super().init(**base_params)
2025-09-25 13:17:52: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddleocr\pipelines\base.py", line 63, in __init_
2025-09-25 13:17:52: self._common_args = parse_common_args(
2025-09-25 13:17:52: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddleocr\_common_args.py", line 43, in parse_common_args
2025-09-25 13:17:52: raise ValueError(f"Unknown argument: {name}")
2025-09-25 13:17:52: ValueError: Unknown argument: use_gpu
2025-09-25 13:17:52: Self test: Self-test failed
2025-09-25 13:17:52: Module setup time 00:02:03.54
2025-09-25 13:17:52: Setup complete
2025-09-25 13:17:52: Total setup time 00:02:05.07
2025-09-25 13:17:52: SETUP FAILED:
2025-09-25 13:17:52: - [ALPR] Self test failed

And here is the BI settings. It looks like the Self test failed



I had DayPlate in the To confirm before, but changed it it "*" after looking at another set up. I think you had mentioned using the use Main stream for plate readers as I was getting this




Do I need "Get your API key from Plate Recognizer"

 

[Vettester]

Do I need "Get your API key from Plate Recognizer"

No, but you do need more zoom on the plate so the application can work.