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Blue Iris and CodeProject.AI ALPR

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kramttocs

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Ran into this on a fresh install:
AttributeError: 'ALPR_adapter' object has no attribute '_num_items_found'

Any ideas on this? Have rebooted but no impact. Still getting this error.
 
Last edited:
DJBWSM

DJBWSM

n3wb
Joined
Feb 13, 2019
Messages
9
Reaction score
1
Location
England, UK
@MikeLud1 Help. Now spent 3 days ripping my hair out.

I have read the 52 pages on this post looking for answers and tried every suggestion you recommend to others. Still I cannot get APLR working with my GPU. Works fine with CPU but is slow.

This is what happens the first couple of time then nothing is found.

odd.PNG

Server version: 2.6.5
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Xeon(R) CPU E5-2698 v4 @ 2.20GHz (Intel)
2 CPUs x 8 cores. 8 logical processors (x64)
GPU (Primary): GRID P100-16Q (16 GiB) (NVIDIA)
Driver: 538.33, CUDA: 11.8.89 (up to: 12.2), Compute: 6.0, cuDNN: 8.9
System RAM: 32 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:
NVIDIA GRID P100-16Q:
Driver Version 31.0.15.3833
Video Processor GRID P100-16Q
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 2.3 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168

Status Page:
status page.PNG

ALLUSERSPROFILE=C:\ProgramData
APPDATA=C:\Users\Dan\AppData\Roaming
CLIENTNAME=DESKTOP-0S742NF
CommonProgramFiles=C:\Program Files\Common Files
CommonProgramFiles(x86)=C:\Program Files (x86)\Common Files
CommonProgramW6432=C:\Program Files\Common Files
COMPUTERNAME=BLUEIRIS-VM
ComSpec=C:\Windows\system32\cmd.exe
CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8
CUDA_PATH_V11_8=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8
DriverData=C:\Windows\System32\Drivers\DriverData
FPS_BROWSER_APP_PROFILE_STRING=Internet Explorer
FPS_BROWSER_USER_PROFILE_STRING=Default
HOMEDRIVE=C:
HOMEPATH=\Users\Dan
LOCALAPPDATA=C:\Users\Dan\AppData\Local
LOGONSERVER=\\BLUEIRIS-VM
NUMBER_OF_PROCESSORS=16
OneDrive=C:\Users\Dan\OneDrive
OS=Windows_NT
Path=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\OpenSSH\;C:\Program Files\dotnet\;C:\Users\Dan\AppData\Local\Microsoft\WindowsApps;C:\Users\Dan\.dotnet\tools;C:\Program Files\NVIDIA\CUDNN\v8.9\zlib\dll_x64;C:\Program Files\NVIDIA\CUDNN\v8.9\bin;C:\Users\Dan\AppData\Local\Microsoft\WindowsApps;C:\Users\Dan\.dotnet\tools
PATHEXT=.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC
PROCESSOR_ARCHITECTURE=AMD64
PROCESSOR_IDENTIFIER=Intel64 Family 6 Model 79 Stepping 1, GenuineIntel
PROCESSOR_LEVEL=6
PROCESSOR_REVISION=4f01
ProgramData=C:\ProgramData
ProgramFiles=C:\Program Files
ProgramFiles(x86)=C:\Program Files (x86)
ProgramW6432=C:\Program Files
PROMPT=$P$G
PSModulePath=C:\Program Files\WindowsPowerShell\Modules;C:\Windows\system32\WindowsPowerShell\v1.0\Modules
PUBLIC=C:\Users\Public
SESSIONNAME=RDP-Tcp#0
SystemDrive=C:
SystemRoot=C:\Windows
TEMP=C:\Users\Dan\AppData\Local\Temp
TMP=C:\Users\Dan\AppData\Local\Temp
USERDOMAIN=BLUEIRIS-VM
USERDOMAIN_ROAMINGPROFILE=BLUEIRIS-VM
USERNAME=Dan
USERPROFILE=C:\Users\Dan
windir=C:\Windows

NVCC Output:
Code: 
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:41:10_Pacific_Daylight_Time_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.31833905_0
Module 'License Plate Reader' 3.1.0 (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
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 = 0.7
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: 31 May 2024 8:01:44 PM GMT Standard Time
LastSeen: 31 May 2024 8:03:15 PM GMT Standard Time
Status: Started
Requests: 42 (includes status calls)



Installation Log
2024-05-31 18:18:02: Installing CodeProject.AI Analysis Module
2024-05-31 18:18:02: ======================================================================
2024-05-31 18:18:02: CodeProject.AI Installer
2024-05-31 18:18:02: ======================================================================
2024-05-31 18:18:03: 78.5Gb of 261Gb available on
2024-05-31 18:18:03: General CodeProject.AI setup
2024-05-31 18:18:03: Creating Directories...done
2024-05-31 18:18:03: GPU support
2024-05-31 18:18:04: CUDA Present...Yes (CUDA 11.8, cuDNN 8.9)
2024-05-31 18:18:04: ROCm Present...No
2024-05-31 18:18:06: Checking for .NET 7.0...Checking SDKs...All good. .NET is 7.0.410
2024-05-31 18:18:13: Reading ALPR settings.......done
2024-05-31 18:18:13: Installing module License Plate Reader 3.1.0
2024-05-31 18:18:13: Installing Python 3.9
2024-05-31 18:18:29: Downloading Python 3.9 interpreter...Expanding...done.
2024-05-31 18:19:12: Creating Virtual Environment (Local)...done
2024-05-31 18:19:13: Confirming we have Python 3.9 in our virtual environment...present
2024-05-31 18:19:16: Downloading ALPR models...Expanding...done.
2024-05-31 18:19:16: Copying contents of ocr-en-pp_ocrv4-paddle.zip to paddleocr...done
2024-05-31 18:19:16: Installing Python packages for License Plate Reader
2024-05-31 18:19:16: [0;Installing GPU-enabled libraries: If available
2024-05-31 18:19:21: Ensuring Python package manager (pip) is installed...done
2024-05-31 18:19:56: Ensuring Python package manager (pip) is up to date...done
2024-05-31 18:19:56: Python packages specified by requirements.windows.cuda11_8.txt
2024-05-31 18:22:11: - Installing PaddlePaddle, Parallel Distributed Deep Learning...(✅ checked) done
2024-05-31 18:27:52: - Installing PaddleOCR, the OCR toolkit based on PaddlePaddle...(✅ checked) done
2024-05-31 18:28:03: - Installing imutils, the image utilities library...(✅ checked) done
2024-05-31 18:28:08: - Installing Pillow, a Python Image Library...Already installed
2024-05-31 18:28:12: - Installing OpenCV, the Computer Vision library for Python...Already installed
2024-05-31 18:28:47: - Installing NumPy, a package for scientific computing...Already installed
2024-05-31 18:28:47: Installing Python packages for the CodeProject.AI Server SDK
2024-05-31 18:28:53: Ensuring Python package manager (pip) is installed...done
2024-05-31 18:29:03: Ensuring Python package manager (pip) is up to date...done
2024-05-31 18:29:03: Python packages specified by requirements.txt
2024-05-31 18:29:08: - Installing Pillow, a Python Image Library...Already installed
2024-05-31 18:29:13: - Installing Charset normalizer...Already installed
2024-05-31 18:29:31: - Installing aiohttp, the Async IO HTTP library...(✅ checked) done
2024-05-31 18:29:43: - Installing aiofiles, the Async IO Files library...(✅ checked) done
2024-05-31 18:29:53: - Installing py-cpuinfo to allow us to query CPU info...(✅ checked) done
2024-05-31 18:29:57: - Installing Requests, the HTTP library...Already installed
2024-05-31 18:29:58: Scanning modulesettings for downloadable models...No models specified
2024-05-31 18:29:58: Executing post-install script for License Plate Reader
2024-05-31 18:29:58: Applying PaddleOCR patch
2024-05-31 18:29:58: 1 file(s) copied.
2024-05-31 18:30:49: Self test: Self-test passed
2024-05-31 18:30:49: Module setup time 00:12:41.93
2024-05-31 18:30:49: Setup complete
2024-05-31 18:30:49: Total setup time 00:12:46.69
Installer exited with code 0
 
Last edited:
MikeLud1

MikeLud1

IPCT Contributor
Joined
Apr 5, 2017
Messages
2,236
Reaction score
4,293
Location
Brooklyn, NY
DJBWSM said:
@MikeLud1 Help. Now spent 3 days ripping my hair out.

I have read the 52 pages on this post looking for answers and tried every suggestion you recommend to others. Still I cannot get APLR working with my GPU. Works fine with CPU but is slow.

This is what happens the first couple of time then nothing is found.

View attachment 195628

Server version: 2.6.5
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Xeon(R) CPU E5-2698 v4 @ 2.20GHz (Intel)
2 CPUs x 8 cores. 8 logical processors (x64)
GPU (Primary): GRID P100-16Q (16 GiB) (NVIDIA)
Driver: 538.33, CUDA: 11.8.89 (up to: 12.2), Compute: 6.0, cuDNN: 8.9
System RAM: 32 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:
NVIDIA GRID P100-16Q:
Driver Version 31.0.15.3833
Video Processor GRID P100-16Q
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 2.3 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168

Status Page:
View attachment 195629

ALLUSERSPROFILE=C:\ProgramData
APPDATA=C:\Users\Dan\AppData\Roaming
CLIENTNAME=DESKTOP-0S742NF
CommonProgramFiles=C:\Program Files\Common Files
CommonProgramFiles(x86)=C:\Program Files (x86)\Common Files
CommonProgramW6432=C:\Program Files\Common Files
COMPUTERNAME=BLUEIRIS-VM
ComSpec=C:\Windows\system32\cmd.exe
CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8
CUDA_PATH_V11_8=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8
DriverData=C:\Windows\System32\Drivers\DriverData
FPS_BROWSER_APP_PROFILE_STRING=Internet Explorer
FPS_BROWSER_USER_PROFILE_STRING=Default
HOMEDRIVE=C:
HOMEPATH=\Users\Dan
LOCALAPPDATA=C:\Users\Dan\AppData\Local
LOGONSERVER=\\BLUEIRIS-VM
NUMBER_OF_PROCESSORS=16
OneDrive=C:\Users\Dan\OneDrive
OS=Windows_NT
Path=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\OpenSSH\;C:\Program Files\dotnet\;C:\Users\Dan\AppData\Local\Microsoft\WindowsApps;C:\Users\Dan\.dotnet\tools;C:\Program Files\NVIDIA\CUDNN\v8.9\zlib\dll_x64;C:\Program Files\NVIDIA\CUDNN\v8.9\bin;C:\Users\Dan\AppData\Local\Microsoft\WindowsApps;C:\Users\Dan\.dotnet\tools
PATHEXT=.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC
PROCESSOR_ARCHITECTURE=AMD64
PROCESSOR_IDENTIFIER=Intel64 Family 6 Model 79 Stepping 1, GenuineIntel
PROCESSOR_LEVEL=6
PROCESSOR_REVISION=4f01
ProgramData=C:\ProgramData
ProgramFiles=C:\Program Files
ProgramFiles(x86)=C:\Program Files (x86)
ProgramW6432=C:\Program Files
PROMPT=$P$G
PSModulePath=C:\Program Files\WindowsPowerShell\Modules;C:\Windows\system32\WindowsPowerShell\v1.0\Modules
PUBLIC=C:\Users\Public
SESSIONNAME=RDP-Tcp#0
SystemDrive=C:
SystemRoot=C:\Windows
TEMP=C:\Users\Dan\AppData\Local\Temp
TMP=C:\Users\Dan\AppData\Local\Temp
USERDOMAIN=BLUEIRIS-VM
USERDOMAIN_ROAMINGPROFILE=BLUEIRIS-VM
USERNAME=Dan
USERPROFILE=C:\Users\Dan
windir=C:\Windows

NVCC Output:
Code: 
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:41:10_Pacific_Daylight_Time_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.31833905_0
Module 'License Plate Reader' 3.1.0 (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
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 = 0.7
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: 31 May 2024 8:01:44 PM GMT Standard Time
LastSeen: 31 May 2024 8:03:15 PM GMT Standard Time
Status: Started
Requests: 42 (includes status calls)



Installation Log
2024-05-31 18:18:02: Installing CodeProject.AI Analysis Module
2024-05-31 18:18:02: ======================================================================
2024-05-31 18:18:02: CodeProject.AI Installer
2024-05-31 18:18:02: ======================================================================
2024-05-31 18:18:03: 78.5Gb of 261Gb available on
2024-05-31 18:18:03: General CodeProject.AI setup
2024-05-31 18:18:03: Creating Directories...done
2024-05-31 18:18:03: GPU support
2024-05-31 18:18:04: CUDA Present...Yes (CUDA 11.8, cuDNN 8.9)
2024-05-31 18:18:04: ROCm Present...No
2024-05-31 18:18:06: Checking for .NET 7.0...Checking SDKs...All good. .NET is 7.0.410
2024-05-31 18:18:13: Reading ALPR settings.......done
2024-05-31 18:18:13: Installing module License Plate Reader 3.1.0
2024-05-31 18:18:13: Installing Python 3.9
2024-05-31 18:18:29: Downloading Python 3.9 interpreter...Expanding...done.
2024-05-31 18:19:12: Creating Virtual Environment (Local)...done
2024-05-31 18:19:13: Confirming we have Python 3.9 in our virtual environment...present
2024-05-31 18:19:16: Downloading ALPR models...Expanding...done.
2024-05-31 18:19:16: Copying contents of ocr-en-pp_ocrv4-paddle.zip to paddleocr...done
2024-05-31 18:19:16: Installing Python packages for License Plate Reader
2024-05-31 18:19:16: [0;Installing GPU-enabled libraries: If available
2024-05-31 18:19:21: Ensuring Python package manager (pip) is installed...done
2024-05-31 18:19:56: Ensuring Python package manager (pip) is up to date...done
2024-05-31 18:19:56: Python packages specified by requirements.windows.cuda11_8.txt
2024-05-31 18:22:11: - Installing PaddlePaddle, Parallel Distributed Deep Learning...(✅ checked) done
2024-05-31 18:27:52: - Installing PaddleOCR, the OCR toolkit based on PaddlePaddle...(✅ checked) done
2024-05-31 18:28:03: - Installing imutils, the image utilities library...(✅ checked) done
2024-05-31 18:28:08: - Installing Pillow, a Python Image Library...Already installed
2024-05-31 18:28:12: - Installing OpenCV, the Computer Vision library for Python...Already installed
2024-05-31 18:28:47: - Installing NumPy, a package for scientific computing...Already installed
2024-05-31 18:28:47: Installing Python packages for the CodeProject.AI Server SDK
2024-05-31 18:28:53: Ensuring Python package manager (pip) is installed...done
2024-05-31 18:29:03: Ensuring Python package manager (pip) is up to date...done
2024-05-31 18:29:03: Python packages specified by requirements.txt
2024-05-31 18:29:08: - Installing Pillow, a Python Image Library...Already installed
2024-05-31 18:29:13: - Installing Charset normalizer...Already installed
2024-05-31 18:29:31: - Installing aiohttp, the Async IO HTTP library...(✅ checked) done
2024-05-31 18:29:43: - Installing aiofiles, the Async IO Files library...(✅ checked) done
2024-05-31 18:29:53: - Installing py-cpuinfo to allow us to query CPU info...(✅ checked) done
2024-05-31 18:29:57: - Installing Requests, the HTTP library...Already installed
2024-05-31 18:29:58: Scanning modulesettings for downloadable models...No models specified
2024-05-31 18:29:58: Executing post-install script for License Plate Reader
2024-05-31 18:29:58: Applying PaddleOCR patch
2024-05-31 18:29:58: 1 file(s) copied.
2024-05-31 18:30:49: Self test: Self-test passed
2024-05-31 18:30:49: Module setup time 00:12:41.93
2024-05-31 18:30:49: Setup complete
2024-05-31 18:30:49: Total setup time 00:12:46.69
Installer exited with code 0
Click to expand...
It looks like you are running a VM, did you obtain a license for the GRID P100-16Q driver. I am still not sure if this is the issue, what GPU do you have, is it a P100.

1717186909861.png
 
MikeLud1

MikeLud1

IPCT Contributor
Joined
Apr 5, 2017
Messages
2,236
Reaction score
4,293
Location
Brooklyn, NY
DJBWSM said:
View attachment 195633

Yes it is a P100. The "Object Detection (YOLOv5 6.2)" module works very well and quick with the GPU.
Click to expand...
Try replacing the cuDNN version with the bellow version. Delete the highlighted folders and replace them with the cuDNN version in the below link. After change the cuDNN version restart CP.AI server.

developer.nvidia.com

Log in

developer.nvidia.com developer.nvidia.com

1717192210110.png
 
DJBWSM

DJBWSM

n3wb
Joined
Feb 13, 2019
Messages
9
Reaction score
1
Location
England, UK
DJBWSM said:
Just tried it all have similar results to before.

View attachment 195652 View attachment 195653

Any other ideas? (Please dont say replace the gpu )
Click to expand...
Here is the log showing it giving random result and then stops and start throwing an error

00:04:14:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'custom'
00:04:15:Object Detection (YOLOv5 6.2): Detecting using license-plate
00:04:15:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...86b95c) ['Found DayPlate'] took 115ms
00:04:15:Response rec'd from License Plate Reader command 'alpr' (...f8fbf8) ['Found Plate: 54310 zsqponmlkhgfedcba ZYXWVUTSRPONMLKJHGFEDCA 876543410 zyxwvutqponmlmjihgfedcba ZYXWVUTSTQPONMLKJHGFEDCBA 98765452 urqponmlkjihgfeba ZYXWVRQPONMNKJIHGFEDC 9876543210 ZYXWVUuCBA e3210 ZYXWVUTSRQPONv 9876543210 V LKJIHGFn 9876 '] took 524ms
00:04:18:Client request 'alpr' in queue 'alpr_queue' (...f03ce4)
00:04:18:Request 'alpr' dequeued from 'alpr_queue' (...f03ce4)
00:04:18:License Plate Reader: Retrieved alpr_queue command 'alpr'
00:04:18:Client request 'custom' in queue 'objectdetection_queue' (...241e39)
00:04:18:Request 'custom' dequeued from 'objectdetection_queue' (...241e39)
00:04:18:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'custom'
00:04:18:Object Detection (YOLOv5 6.2): Detecting using license-plate
00:04:18:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...241e39) ['Found DayPlate'] took 92ms
00:04:18:Response rec'd from License Plate Reader command 'alpr' (...f03ce4) ['Found Plate: yxwvutsrkihgfedc ZYXWVUTSRQPONMLKJHGFEDCB 98765430 yxwvutsrqponmlihgfedeba ZYXWVUTSRQPONMLKLIHGFEDCB 98765410 mjihgfedcba ZYXWVUTSRQPONJIHGFEFCBA 5210 ZYXWVUSRQPONMm 987650 ZYXWVUTSRQPONMLKJIHGFn543210 ZYXWVNvDCBA f43210 '] took 636ms
00:04:21:Client request 'alpr' in queue 'alpr_queue' (...33c6a5)
00:04:21:Request 'alpr' dequeued from 'alpr_queue' (...33c6a5)
00:04:21:License Plate Reader: Retrieved alpr_queue command 'alpr'
00:04:21:Client request 'custom' in queue 'objectdetection_queue' (...ea564b)
00:04:21:Request 'custom' dequeued from 'objectdetection_queue' (...ea564b)
00:04:21:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'custom'
00:04:21:Object Detection (YOLOv5 6.2): Detecting using license-plate
00:04:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...ea564b) ['Found DayPlate'] took 123ms
00:04:21:Response rec'd from License Plate Reader command 'alpr' (...33c6a5) ['Found Plate: JIHGFEDl 3210 KJIHGFEu3210 UKJIHGFuDCBA m 9876e50 MLJIHGFGDCBA 9873210 zyxwv'] took 513ms
00:04:23:Client request 'alpr' in queue 'alpr_queue' (...b5ab90)
00:04:23:Request 'alpr' dequeued from 'alpr_queue' (...b5ab90)
00:04:23:License Plate Reader: Retrieved alpr_queue command 'alpr'
00:04:23:Client request 'custom' in queue 'objectdetection_queue' (...00f28b)
00:04:23:Request 'custom' dequeued from 'objectdetection_queue' (...00f28b)
00:04:23:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'custom'
00:04:23:Object Detection (YOLOv5 6.2): Detecting using license-plate
00:04:23:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...00f28b) ['Found DayPlate'] took 97ms
00:04:23:Response rec'd from License Plate Reader command 'alpr' (...b5ab90) ['Found Plate: 9876543210 zyxwvuvsrqponmlkeba ZYXWVUSRQPONM 987650 ZYXWV SRQPON KJIHGFE e3210 ZYXWV EDCBA 543210 V hgfedc YXWVUTSRQPONMLKJHGFEDCBA 8765432 zxwvutsrponmlkihgfedc YXWVUTSRKHGFEDCBA 876543410 yxwvutsrponmlkjihgfeda Z'] took 571ms
00:04:25:Client request 'alpr' in queue 'alpr_queue' (...f6699d)
00:04:25:Request 'alpr' dequeued from 'alpr_queue' (...f6699d)
00:04:25:License Plate Reader: Retrieved alpr_queue command 'alpr'
00:04:25:Client request 'custom' in queue 'objectdetection_queue' (...7fbd71)
00:04:25:Request 'custom' dequeued from 'objectdetection_queue' (...7fbd71)
00:04:25:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'custom'
00:04:25:Object Detection (YOLOv5 6.2): Detecting using license-plate
00:04:25:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...7fbd71) ['Found DayPlate'] took 139ms
00:04:25:Response rec'd from License Plate Reader command 'alpr' (...f6699d) ['Found Plate: ZYXWVUT JIHGFEDl210 T KJIHGFEtD 3210 KJIHGFEtCBA l 98765e0 U zyxwvwtsrqponmlkjihgcba ZYXWVUTSRQPONL'] took 559ms
00:04:27:Client request 'alpr' in queue 'alpr_queue' (...995ed6)
00:04:27:Request 'alpr' dequeued from 'alpr_queue' (...995ed6)
00:04:27:License Plate Reader: Retrieved alpr_queue command 'alpr'
00:04:27:Client request 'custom' in queue 'objectdetection_queue' (...29583c)
00:04:27:Request 'custom' dequeued from 'objectdetection_queue' (...29583c)
00:04:27:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'custom'
00:04:27:Object Detection (YOLOv5 6.2): Detecting using license-plate
00:04:27:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...29583c) ['Found DayPlate'] took 97ms
00:04:28:Response rec'd from License Plate Reader command 'alpr' (...995ed6) ['Found Plate: ZYXWVUTSRQPOKJIHGEDCBA 987643210 zyxwvutsrqponmlkjihgfdcba ZYXWUTSRQPOLKJIHGHEDCBA 743210 zyxwvutsrqponmlkjihghedcba ZYXWVUTSRQPMLKJIHIF zyvutsrqponmlkjfedcbab ZYXWQNMLKJIHGFEDCBA 9i WVUTSRQyGFEDCBq i7654321 QPONMLKJIHGFEDCBr10 Z PONMLKJB'] took 537ms
00:04:29:Client request 'alpr' in queue 'alpr_queue' (...0838e1)
00:04:29:Request 'alpr' dequeued from 'alpr_queue' (...0838e1)
00:04:29:License Plate Reader: Retrieved alpr_queue command 'alpr'
00:04:29:Client request 'custom' in queue 'objectdetection_queue' (...ad144b)
00:04:29:Request 'custom' dequeued from 'objectdetection_queue' (...ad144b)
00:04:29:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'custom'
00:04:29:Object Detection (YOLOv5 6.2): Detecting using license-plate
00:04:29:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...ad144b) ['Found DayPlate'] took 87ms
00:04:30:Response rec'd from License Plate Reader command 'alpr' (...0838e1) ['Found Plate: CBA 987651 zyxwvutsrqponlkjihgfdcba ZYXWTSRQPOPMLKJIHGF 9876543210 zyxwvutsrqpopmlkjihgfdcba ZYXUTSRQPQN zyxwvutsrnmlkjijgfedcba YVUTSRQPONMLKJIGFEDCBAq0 ZY ONMLKJyGFEDCBq 910YXWVUTSRQPONMLKJz987654320 XWVUTSRJ'] took 478ms
00:04:31:Client request 'alpr' in queue 'alpr_queue' (...2572b3)
00:04:31:Request 'alpr' dequeued from 'alpr_queue' (...2572b3)
00:04:31:License Plate Reader: Retrieved alpr_queue command 'alpr'
00:04:31:Client request 'custom' in queue 'objectdetection_queue' (...2f64af)
00:04:31:Request 'custom' dequeued from 'objectdetection_queue' (...2f64af)
00:04:31:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'custom'
00:04:31:Object Detection (YOLOv5 6.2): Detecting using license-plate
00:04:31:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...2f64af) ['Found DayPlate'] took 117ms
00:04:32:Connection id "0HN41OMVGHOM1", Request id "0HN41OMVGHOM1:0000000A": An unhandled exception was thrown by the application.
00:05:05:Client request 'alpr' in queue 'alpr_queue' (...ae6bac)
00:05:05:Request 'alpr' dequeued from 'alpr_queue' (...ae6bac)
00:05:05:License Plate Reader: Retrieved alpr_queue command 'alpr'
00:05:05:Client request 'custom' in queue 'objectdetection_queue' (...1f8455)
00:05:05:Request 'custom' dequeued from 'objectdetection_queue' (...1f8455)
00:05:05:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'custom'
00:05:06:Object Detection (YOLOv5 6.2): Detecting using license-plate
00:05:06:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...1f8455) ['Found DayPlate'] took 98ms
00:05:06:Connection id "0HN41OMVGHON0", Request id "0HN41OMVGHON0:00000004": An unhandled exception was thrown by the application.
 
MikeLud1

MikeLud1

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DJBWSM said:
Just tried it all have similar results to before.

View attachment 195652 View attachment 195653

Any other ideas? (Please dont say replace the gpu )
Click to expand...
I am finding older GPU are very finnicky on what version CUDA and cuDNN is installed. Try uninstalling CUDA 11.8 and install CUDA 11.2 also install cuDNN v8.2.1. After changing the CUDA and cuDNN versions uninstall the ALPR module restart CP.AI then reinstall the ALPR module.
If this does not work you may need CUDA 10.2 and cuDNN v7.6.5. I have older GPU then yours working with CUDA 10.2 and cuDNN v7.6.5.

CUDA 11.2 Link

cuDNN v8.2.1 link
developer.nvidia.com

Log in

developer.nvidia.com developer.nvidia.com
 
DJBWSM

DJBWSM

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MikeLud1 said:
I am finding older GPU are very finnicky on what version CUDA and cuDNN is installed. Try uninstalling CUDA 11.8 and install CUDA 11.2 also install cuDNN v8.2.1. After changing the CUDA and cuDNN versions uninstall the ALPR module restart CP.AI then reinstall the ALPR module.
If this does not work you may need CUDA 10.2 and cuDNN v7.6.5. I have older GPU then yours working with CUDA 10.2 and cuDNN v7.6.5.

CUDA 11.2 Link

cuDNN v8.2.1 link
developer.nvidia.com

Log in

developer.nvidia.com developer.nvidia.com
Click to expand...

Currently in the process of install 11.7 and 8.5 as I read on the nvidia forum this is a combo that should work. Not too hopeful but ill see if that work. If not I try 11.2
 
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