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Server version: 2.3.4-Beta
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz (Intel)
1 CPU x 6 cores. 12 logical processors (x64)
GPU: Intel(R) UHD Graphics 630 (1,024 MiB) (Intel Corporation)
Driver: 31.0.101.2115
System RAM: 16 GiB
Target: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.10
Video adapter info:
Intel(R) UHD Graphics 630:
Driver Version 31.0.101.2115
Video Processor Intel(R) UHD Graphics Family
System GPU info:
GPU 3D Usage 2%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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Thank you so much for that. Do you have any logs from the CodeProject.AI Server dashboard when the errors occur?
Also, have you tried plugging into a different USB port?
Thanks,
Sean Ewington
CodeProject
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Just upgraded to 2.3.2 (windows) and all modules fail to start with the same error shown below. I did try and search the threads for a similar error, but this forum software is pretty impenetrable
10:10:51:Started Object Detection (YOLOv5 6.2) module
10:10:53:ALPR_adapter.py: Traceback (most recent call last):
10:10:53:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 69, in
10:10:53:ALPR_adapter.py: ALPR_adapter().start_loop()
10:10:53:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 23, in __init__
10:10:53:ALPR_adapter.py: self.opts = Options()
10:10:53:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\options.py", line 27, in __init__
10:10:53:ALPR_adapter.py: self.use_gpu = ModuleOptions.support_GPU # We'll disable this if we can't find GPU libraries
10:10:53:ALPR_adapter.py: AttributeError: type object 'ModuleOptions' has no attribute 'support_GPU'
Here's my system info (copied from previous version as i immeadiately downgraded back to 2.2.4)
Server version: 2.2.4-Beta
Operating System: Windows (Microsoft Windows 11 version 10.0.22621)
CPUs: Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz (Intel)
1 CPU x 8 cores. 16 logical processors (x64)
GPU: NVIDIA GeForce GTX 1650 (4 GiB) (NVIDIA)
Driver: 531.61 CUDA: 11.7.64 (max supported: 12.1) Compute: 7.5
System RAM: 32 GiB
Target: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.5
Video adapter info:
NVIDIA GeForce GTX 1650:
Driver Version 31.0.15.3161
Video Processor NVIDIA GeForce GTX 1650
Intel(R) UHD Graphics 630:
Driver Version 27.20.100.9664
Video Processor Intel(R) UHD Graphics Family
System GPU info:
GPU 3D Usage 10%
GPU RAM Usage 3.5 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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After install v2.3.2 and License Plate Reader 2.7.2 did it show it was using GPU (CUDA) or CPU
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Mike
Post upgrade they all say CPU. on 2.2.4 they were all set to GPU(CUDA)
Here's the full log;
12:49:37:System: Windows
12:49:37:Operating System: Windows (Microsoft Windows 11 version 10.0.22621)
12:49:37:CPUs: Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz (Intel)
12:49:37: 1 CPU x 8 cores. 16 logical processors (x64)
12:49:37:GPU: NVIDIA GeForce GTX 1650 (4 GiB) (NVIDIA)
12:49:37: Driver: 531.61 CUDA: 11.7.64 (max supported: 12.1) Compute: 7.5
12:49:37:System RAM: 32 GiB
12:49:37:Target: Windows
12:49:37:BuildConfig: Release
12:49:37:Execution Env: Native
12:49:37:Runtime Env: Production
12:49:37:.NET framework: .NET 7.0.5
12:49:37:App DataDir: C:\ProgramData\CodeProject\AI
12:49:37:Video adapter info:
12:49:37: NVIDIA GeForce GTX 1650:
12:49:37: Driver Version 31.0.15.3161
12:49:37: Video Processor NVIDIA GeForce GTX 1650
12:49:37: Intel(R) UHD Graphics 630:
12:49:37: Driver Version 27.20.100.9664
12:49:37: Video Processor Intel(R) UHD Graphics Family
12:49:37:STARTING CODEPROJECT.AI SERVER
12:49:37:RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
12:49:37:PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
12:49:37:MODULES_PATH = C:\Program Files\CodeProject\AI\modules
12:49:37:PYTHON_PATH = \bin\windows\%PYTHON_DIRECTORY%\venv\Scripts\python
12:49:37:Data Dir = C:\ProgramData\CodeProject\AI
12:49:37:Server version: 2.3.2-Beta
12:49:40:
12:49:40:Module 'Training for YoloV5 6.2' 1.0 (ID: TrainingYoloV5)
12:49:40:Module Path: C:\Program Files\CodeProject\AI\modules\TrainingYoloV5
12:49:40:AutoStart: True
12:49:40:Queue: trainingyolov5_queue
12:49:40:Platforms: all
12:49:40:GPU Libraries: installed if available
12:49:40:GPU Enabled: enabled
12:49:40:Parallelism: 2
12:49:40:Accelerator:
12:49:40:Half Precis.: enable
12:49:40:Runtime: python39
12:49:40:Runtime Loc: Local
12:49:40:FilePath: TrainingYoloV5.py
12:49:40:Pre installed: False
12:49:40:Start pause: 1 sec
12:49:40:LogVerbosity:
12:49:40:Valid: True
12:49:40:Environment Variables
12:49:40:FIFTYONE_DATABASE_DIRNAME = fiftyone
12:49:40:YOLOv5_AUTOINSTALL = false
12:49:40:YOLOv5_VERBOSE = false
12:49:40:YOLO_DATASETS_DIRNAME = datasets
12:49:40:YOLO_DATASET_ZOO_DIRNAME = zoo
12:49:40:YOLO_MODELS_DIRNAME = assets
12:49:40:YOLO_TRAINING_DIRNAME = train
12:49:40:YOLO_WEIGHTS_DIRNAME = weights
12:49:40:
12:49:40:Started Training for YoloV5 6.2 module
12:49:41:
12:49:41:Module 'Object Detection (YOLOv5 6.2)' 1.4 (ID: ObjectDetectionYolo)
12:49:41:Module Path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
12:49:41:AutoStart: True
12:49:41:Queue: objectdetection_queue
12:49:41:Platforms: all
12:49:41:GPU Libraries: installed if available
12:49:41:GPU Enabled: enabled
12:49:41:Parallelism: 0
12:49:41:Accelerator:
12:49:41:Half Precis.: enable
12:49:41:Runtime: python37
12:49:41:Runtime Loc: Shared
12:49:41:FilePath: detect_adapter.py
12:49:41:Pre installed: False
12:49:41:Start pause: 1 sec
12:49:41:LogVerbosity:
12:49:41:Valid: True
12:49:41:Environment Variables
12:49:41:APPDIR = %CURRENT_MODULE_PATH%
12:49:41:CPAI_HALF_PRECISION = disable
12:49:41:CPAI_MODULE_SUPPORT_GPU = True
12:49:41:CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%/custom-models
12:49:41:MODELS_DIR = %CURRENT_MODULE_PATH%/assets
12:49:41:MODEL_SIZE = Medium
12:49:41:USE_CUDA = True
12:49:41:YOLOv5_AUTOINSTALL = false
12:49:41:YOLOv5_VERBOSE = false
12:49:41:
12:49:41:Started Object Detection (YOLOv5 6.2) module
12:49:42:
12:49:42:Module 'License Plate Reader' 2.5 (ID: ALPR)
12:49:42:Module Path: C:\Program Files\CodeProject\AI\modules\ALPR
12:49:42:AutoStart: True
12:49:42:Queue: alpr_queue
12:49:42:Platforms: windows,linux,macos,macos-arm64
12:49:42:GPU Libraries: installed if available
12:49:42:GPU Enabled: enabled
12:49:42:Parallelism: 0
12:49:42:Accelerator:
12:49:42:Half Precis.: enable
12:49:42:Runtime: python37
12:49:42:Runtime Loc: Local
12:49:42:FilePath: ALPR_adapter.py
12:49:42:Pre installed: False
12:49:42:Start pause: 1 sec
12:49:42:LogVerbosity:
12:49:42:Valid: True
12:49:42:Environment Variables
12:49:42:AUTO_PLATE_ROTATE = True
12:49:42:OCR_OPTIMAL_CHARACTER_HEIGHT = 60
12:49:42:OCR_OPTIMAL_CHARACTER_WIDTH = 36
12:49:42:OCR_OPTIMIZATION = True
12:49:42:PLATE_CONFIDENCE = 0.7
12:49:42:PLATE_RESCALE_FACTOR = 2
12:49:42:PLATE_ROTATE_DEG = 0
12:49:42:
12:49:42:Started License Plate Reader module
12:49:42:Server: This is the latest version
12:49:43:
12:49:43:Module 'Face Processing' 1.7 (ID: FaceProcessing)
12:49:43:Module Path: C:\Program Files\CodeProject\AI\modules\FaceProcessing
12:49:43:AutoStart: True
12:49:43:Queue: faceprocessing_queue
12:49:43:Platforms: windows,linux,linux-arm64,macos,macos-arm64
12:49:43:GPU Libraries: installed if available
12:49:43:GPU Enabled: enabled
12:49:43:Parallelism: 0
12:49:43:Accelerator:
12:49:43:Half Precis.: enable
12:49:43:Runtime: python37
12:49:43:Runtime Loc: Shared
12:49:43:FilePath: intelligencelayer\face.py
12:49:43:Pre installed: False
12:49:43:Start pause: 3 sec
12:49:43:LogVerbosity:
12:49:43:Valid: True
12:49:43:Environment Variables
12:49:43:APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
12:49:43:CPAI_HALF_PRECISION = disable
12:49:43:CPAI_MODULE_SUPPORT_GPU = True
12:49:43:DATA_DIR = %DATA_DIR%
12:49:43:MODE = MEDIUM
12:49:43:MODELS_DIR = %CURRENT_MODULE_PATH%\assets
12:49:43:PROFILE = desktop_gpu
12:49:43:USE_CUDA = True
12:49:43:YOLOv5_AUTOINSTALL = false
12:49:43:YOLOv5_VERBOSE = false
12:49:43:
12:49:43:Started Face Processing module
12:49:43:face.py: Traceback (most recent call last):
12:49:43:face.py: File "C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer\face.py", line 26, in
12:49:43:face.py: from shared import SharedOptions
12:49:43:face.py: File "C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer\shared.py", line 29, in
12:49:43:face.py: class SharedOptions:
12:49:43:face.py: File "C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer\shared.py", line 83, in SharedOptions
12:49:43:face.py: SUPPORT_GPU = ModuleOptions.support_GPU
12:49:43:face.py: AttributeError: type object 'ModuleOptions' has no attribute 'support_GPU'
12:49:43:Module FaceProcessing has shutdown
12:49:43:face.py: has exited
12:49:45:detect_adapter.py: Traceback (most recent call last):
12:49:45:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect_adapter.py", line 162, in
12:49:45:detect_adapter.py: YOLO62_adapter().start_loop()
12:49:45:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect_adapter.py", line 27, in __init__
12:49:45:detect_adapter.py: self.opts = Options()
12:49:45:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\options.py", line 39, in __init__
12:49:45:detect_adapter.py: self.use_MPS = ModuleOptions.support_GPU # only if available...
12:49:45:detect_adapter.py: AttributeError: type object 'ModuleOptions' has no attribute 'support_GPU'
12:49:45:Module ObjectDetectionYolo has shutdown
12:49:45:detect_adapter.py: has exited
12:49:45:ALPR_adapter.py: Traceback (most recent call last):
12:49:45:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 69, in
12:49:45:ALPR_adapter.py: ALPR_adapter().start_loop()
12:49:45:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 23, in __init__
12:49:45:ALPR_adapter.py: self.opts = Options()
12:49:45:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\options.py", line 27, in __init__
12:49:45:ALPR_adapter.py: self.use_gpu = ModuleOptions.support_GPU # We'll disable this if we can't find GPU libraries
12:49:45:ALPR_adapter.py: AttributeError: type object 'ModuleOptions' has no attribute 'support_GPU'
12:49:46:Module ALPR has shutdown
12:49:46:ALPR_adapter.py: has exited
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It looks like you did not upgrade all the modules after upgrading to v2.3.2. When upgrading the module using Do not use download cache.
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Thanks Mike, i think that's sorted it.
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Is anyone interested in being a CodeProject.AI Server beta tester? All you would need is an account on codeproject.com. Anyone is welcome, but testers with the following setup in priority are:
Windows users
Windows users with an NVIDIA GPU
Docker users
Linux / macOS native installer users
If anyone is interested please respond to this thread and I'll invite you to the Insiders test group.
Thanks,
Sean Ewington
CodeProject
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Yes.I have interest being a CodeProject.AI Server beta tester.I install CodeProject.AI Server in Docker.
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I'm happy to be a tester.
Docker on Ubuntu with Coral USB.
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I am interrested.
macOS native installer.
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Hi Sean,
I'd love to become a tester. In fact, I'm been working with the following for a while now;
Windows, Docker, K8s, Ubuntu, Debian all with and without NVIDIA GPUs.
Cheers,
Ivan Jukic
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I can test it
Running CPAI in docker, inside LXC container, on Proxmox
Using Coral USB for Object Detection + Yolo CPU + Face processing
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I'm interested
Windows 10 x64 Nvidia 1080 & 3070 (bare metal)
Also have (but not setup):
Coral USB & PCIe
Orange Pi 5b & 5Plus
Velodyne LiDar
Various Pi models
modified 2-Nov-23 20:00pm.
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happy to test for ubuntu server users. my ubuntu server is a VM in proxmox
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Welche Version funktioniert da?
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As we are predominantly an English speaking site, we'd ask that your future posts be in English, please. If that's challenging, please email me (sean@codeproject.com) and I'll use Google translate and do my best.
It depends on how you want to install CodeProject.AI Server. You can install CodeProject.AI Server directly on the Pi following this article:
Running CodeProject.AI Server on a Raspberry Pi[^]
And if you want to install it using in a Docker container you can use the following for the latest version:
docker pull codeproject/ai-server:rpi64
Thanks,
Sean Ewington
CodeProject
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does not really work.
sudo bash /usr/bin/codeproject.ai-server-2.3.2/start.sh
Creating downloaded modules package path '/usr/bin/codeproject.ai-server-2.3.2/downloads/modules'
Infor ** System: Raspberry Pi
Infor ** Operating System: Linux (Linux 6.1.21-v8+ #1642 SMP PREEMPT Mon Apr 3 17:24:16 BST 2023)
Infor ** CPUs: 1 CPU. (Arm64)
Infor ** System RAM: 8 GiB
Infor ** Target: RaspberryPi
Infor ** BuildConfig: Release
Infor ** Execution Env: Native
Infor ** Runtime Env: Production
Infor ** .NET framework: .NET 7.0.13
Infor ** App DataDir: /etc/codeproject/ai
Infor Video adapter info:
Infor *** STARTING CODEPROJECT.AI SERVER
Infor RUNTIMES_PATH = /usr/bin/codeproject.ai-server-2.3.2/runtimes
Infor PREINSTALLED_MODULES_PATH = /usr/bin/codeproject.ai-server-2.3.2/preinstalled-modules
Infor MODULES_PATH = /usr/bin/codeproject.ai-server-2.3.2/modules
Infor PYTHON_PATH = /bin/linux/%PYTHON_DIRECTORY%/venv/bin/python3
Infor Data Dir = /etc/codeproject/ai
Infor ** Server version: 2.3.2-Beta
many bugs
Error FaceProcessing: Could not find platform independent libraries <prefix>
Error FaceProcessing: Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>]
Error FaceProcessing: Python path configuration:
Error FaceProcessing: PYTHONHOME = (not set)
Error FaceProcessing: PYTHONPATH = (not set)
Error FaceProcessing: program name = 'python3.8'
Error FaceProcessing: isolated = 0
Error FaceProcessing: environment = 1
Error FaceProcessing: user site = 1
Error FaceProcessing: import site = 1
Error FaceProcessing: sys._base_executable = '/usr/bin/python3.8'
Error FaceProcessing: sys.base_prefix = '/usr'
Error FaceProcessing: sys.base_exec_prefix = '/usr'
Error FaceProcessing: sys.executable = '/usr/bin/python3.8'
Error FaceProcessing: sys.prefix = '/usr'
Error FaceProcessing: sys.exec_prefix = '/usr'
Error FaceProcessing: sys.path = [
Error FaceProcessing: '/usr/lib/python38.zip',
Error FaceProcessing: '/usr/lib/python3.8',
Error FaceProcessing: '/usr/lib/python3.8/lib-dynload',
Error FaceProcessing: ]
Error FaceProcessing: Fatal Python error: init_fs_encoding: failed to get the Python codec of the filesystem encoding
Error FaceProcessing: Python runtime state: core initialized
Error FaceProcessing: ModuleNotFoundError: No module named 'encodings'
Error FaceProcessing: Current thread 0x0000007fa5305780 (most recent call first):
Error FaceProcessing: <no Python frame>
Infor FaceProcessing: Creating Virtual Environment (Shared)...
Infor FaceProcessing: Virtual Environment was not created
Infor FaceProcessing: Install failed: Unable to install Python 3.8
Infor FaceProcessing: Setup complete
10:20:12:Error trying to start Face Processing (intelligencelayer\face.py)
10:20:12:An error occurred trying to start process '/usr/bin/codeproject.ai-server-2.3.2/runtimes/bin/linux/python38/venv/bin/python3' with working directory '/usr/bin/codeproject.ai-server-2.3.2/modules/FaceProcessing'. No such file or directory
10:20:12: at System.Diagnostics.Process.ForkAndExecProcess(ProcessStartInfo startInfo, String resolvedFilename, String[] argv, String[] envp, String cwd, Boolean setCredentials, UInt32 userId, UInt32 groupId, UInt32[] groups, Int32& stdinFd, Int32& stdoutFd, Int32& stderrFd, Boolean usesTerminal, Boolean throwOnNoExec)
at System.Diagnostics.Process.StartCore(ProcessStartInfo startInfo)
at CodeProject.AI.Server.Modules.ModuleProcessServices.StartProcess(ModuleConfig module)
10:20:12:Please check the CodeProject.AI installation completed successfully
10:26:38:Error trying to start Super Resolution (superres_adapter.py)
10:26:38:An error occurred trying to start process '/usr/bin/codeproject.ai-server-2.3.2/modules/SuperResolution/bin/linux/python38/venv/bin/python3' with working directory '/usr/bin/codeproject.ai-server-2.3.2/modules/SuperResolution'. No such file or directory
10:26:38:Module SuperResolution started successfully.
10:26:38: at System.Diagnostics.Process.ForkAndExecProcess(ProcessStartInfo startInfo, String resolvedFilename, String[] argv, String[] envp, String cwd, Boolean setCredentials, UInt32 userId, UInt32 groupId, UInt32[] groups, Int32& stdinFd, Int32& stdoutFd, Int32& stderrFd, Boolean usesTerminal, Boolean throwOnNoExec)
at System.Diagnostics.Process.StartCore(ProcessStartInfo startInfo)
at CodeProject.AI.Server.Modules.ModuleProcessServices.StartProcess(ModuleConfig module)
10:26:38:Please check the CodeProject.AI installation completed successfully
Most of the modules that are available do not work.
modified 31-Oct-23 5:29am.
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Jetzt habe ich eine Version, die einigermaßen läuft, aber immer diese Fehlermeldung
Face Processing 1.8.1 Lost Contact
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Hello,
I get the following when installing ALPR. Have uninstalled and reinstalled twice with same results. All other modules (YOLOv5 6.2 and Face Processing) installed without issue and are using the GPU. ALPR does not show it is using the GPU.
<pre>08:44:53:Call to Install on module ALPR has completed.
08:44:53:ALPR_adapter.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
08:44:53:ALPR_adapter.py: Traceback (most recent call last):
08:44:53:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 17, in
08:44:53:ALPR_adapter.py: from ALPR import init_detect_platenumber, detect_platenumber
08:44:53:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR.py", line 19, in
08:44:53:ALPR_adapter.py: from paddleocr import PaddleOCR
08:44:53:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python37\venv\lib\site-packages\paddleocr\__init__.py", line 14, in
08:44:53:ALPR_adapter.py: from .paddleocr import *
08:44:53:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python37\venv\lib\site-packages\paddleocr\paddleocr.py", line 21, in
08:44:53:ALPR_adapter.py: import paddle
08:44:53:ALPR_adapter.py: ModuleNotFoundError: No module named 'paddle'
08:44:53:Module ALPR has shutdown
Any help is appreciated.
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Can you post your system info and install log like the below
2023-10-30 11:41:04: Installing CodeProject.AI Analysis Module
2023-10-30 11:41:04: ========================================================================
2023-10-30 11:41:04: CodeProject.AI Installer
2023-10-30 11:41:04: ========================================================================
2023-10-30 11:41:04: General CodeProject.AI setup
2023-10-30 11:41:04: Creating Directories...Done
2023-10-30 11:41:04: GPU support
2023-10-30 11:41:04: CUDA Present...Yes (version 11.8)
2023-10-30 11:41:04: ROCm Present...False
2023-10-30 11:41:05: Installing module ALPR 2.7.2
2023-10-30 11:41:05: Installing Python 3.7
2023-10-30 11:41:05: Python 3.7 is already installed
2023-10-30 11:41:14: Creating Virtual Environment (Local)...Done
2023-10-30 11:41:14: Confirming we have Python 3.7 in our virtual environment...present
2023-10-30 11:41:19: Downloading ALPR models...Expanding...Done.
2023-10-30 11:41:19: Copying contents of paddleocr-models.zip to paddleocr...done
2023-10-30 11:41:20: Cleaning up...done
2023-10-30 11:41:20: Installing Python packages for ALPR
2023-10-30 11:41:20: [0;Installing GPU-enabled libraries: If available
2023-10-30 11:41:21: Ensuring Python package manager (pip) is installed...Done
2023-10-30 11:41:40: Ensuring Python package manager (pip) is up to date...Done
2023-10-30 11:41:40: Python packages specified by requirements.windows.cuda11_8.txt
2023-10-30 11:43:14: - Installing PaddlePaddle, Parallel Distributed Deep Learning...(âœ"ï¸ checked) Done
2023-10-30 11:45:26: - Installing PaddleOCR, the OCR toolkit based on PaddlePaddle...(âœ"ï¸ checked) Done
2023-10-30 11:45:36: - Installing imutils, the image utilities library...(âœ"ï¸ checked) Done
2023-10-30 11:45:37: - Installing Pillow, a Python Image Library...Already installed
2023-10-30 11:45:38: - Installing OpenCV, the Computer Vision library for Python...Already installed
2023-10-30 11:45:39: - Installing NumPy, a package for scientific computing...Already installed
2023-10-30 11:45:39: Installing Python packages for the CodeProject.AI Server SDK
2023-10-30 11:45:41: Ensuring Python package manager (pip) is installed...Done
2023-10-30 11:45:44: Ensuring Python package manager (pip) is up to date...Done
2023-10-30 11:45:44: Python packages specified by requirements.txt
2023-10-30 11:45:45: - Installing Pillow, a Python Image Library...Already installed
2023-10-30 11:45:47: - Installing Charset normalizer...Already installed
2023-10-30 11:45:55: - Installing aiohttp, the Async IO HTTP library...(âœ"ï¸ checked) Done
2023-10-30 11:45:59: - Installing aiofiles, the Async IO Files library...(âœ"ï¸ checked) Done
2023-10-30 11:46:02: - Installing py-cpuinfo to allow us to query CPU info...(âœ"ï¸ checked) Done
2023-10-30 11:46:04: - Installing Requests, the HTTP library...Already installed
2023-10-30 11:46:04: Setup complete
Installer exited with code 0
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Information as requested. Thank you for your help.
Server version: 2.3.2-Beta
System: Windows
Operating System: Windows (Microsoft Windows 11 version 10.0.22621)
CPUs: Intel(R) Core(TM) i9-10850K CPU @ 3.60GHz (Intel)
1 CPU x 10 cores. 20 logical processors (x64)
GPU: NVIDIA GeForce RTX 3070 (8 GiB) (NVIDIA)
Driver: 545.92 CUDA: 12.3.52 (max supported: 12.3) Compute: 8.6
System RAM: 128 GiB
Target: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.7
Video adapter info:
Microsoft Remote Display Adapter:
Driver Version 10.0.22621.2506
Video Processor
Intel(R) UHD Graphics 630:
Driver Version 31.0.101.2125
Video Processor Intel(R) UHD Graphics Family
NVIDIA GeForce RTX 3070:
Driver Version 31.0.15.4592
Video Processor NVIDIA GeForce RTX 3070
System GPU info:
GPU 3D Usage 11%
GPU RAM Usage 1.1 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
08:30:00:System: Windows
08:30:00:Operating System: Windows (Microsoft Windows 11 version 10.0.22621)
08:30:00:CPUs: Intel(R) Core(TM) i9-10850K CPU @ 3.60GHz (Intel)
08:30:00: 1 CPU x 10 cores. 20 logical processors (x64)
08:30:00:GPU: NVIDIA GeForce RTX 3070 (8 GiB) (NVIDIA)
08:30:00: Driver: 545.92 CUDA: 12.3.52 (max supported: 12.3) Compute: 8.6
08:30:00:System RAM: 128 GiB
08:30:00:Target: Windows
08:30:00:BuildConfig: Release
08:30:00:Execution Env: Native
08:30:00:Runtime Env: Production
08:30:00:.NET framework: .NET 7.0.7
08:30:00:App DataDir: C:\ProgramData\CodeProject\AI
08:30:00:Video adapter info:
08:30:00: Microsoft Remote Display Adapter:
08:30:00: Driver Version 10.0.22621.2506
08:30:00: Video Processor
08:30:00: Intel(R) UHD Graphics 630:
08:30:00: Driver Version 31.0.101.2125
08:30:00: Video Processor Intel(R) UHD Graphics Family
08:30:00: NVIDIA GeForce RTX 3070:
08:30:00: Driver Version 31.0.15.4592
08:30:00: Video Processor NVIDIA GeForce RTX 3070
08:30:00:STARTING CODEPROJECT.AI SERVER
08:30:00:RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
08:30:00:PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
08:30:00:MODULES_PATH = C:\Program Files\CodeProject\AI\modules
08:30:00:PYTHON_PATH = \bin\windows\%PYTHON_DIRECTORY%\venv\Scripts\python
08:30:00:Data Dir = C:\ProgramData\CodeProject\AI
08:30:00:Server version: 2.3.2-Beta
08:30:03:Setting up initial modules. Please be patient...
08:30:03:Installing initial module FaceProcessing.
08:30:03:Preparing to install module 'FaceProcessing'
08:30:04:Downloading module 'FaceProcessing'
08:30:04:Installing module 'FaceProcessing'
08:30:04:Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
08:30:04:FaceProcessing: Installing CodeProject.AI Analysis Module
08:30:04:FaceProcessing: ========================================================================
08:30:04:FaceProcessing: CodeProject.AI Installer
08:30:04:FaceProcessing: ========================================================================
08:30:04:FaceProcessing: General CodeProject.AI setup
08:30:05:FaceProcessing: Creating Directories...Done
08:30:05:FaceProcessing: GPU support
08:30:05:FaceProcessing: CUDA Present...Yes (version 12.3)
08:30:05:FaceProcessing: ROCm Present...False
08:30:05:FaceProcessing: Installing module FaceProcessing 1.8.1
08:30:05:FaceProcessing: Installing Python 3.7
08:30:05:Server: This is the latest version
08:30:05:Current Version is 2.3.2-Beta
08:30:16:FaceProcessing: Downloading Python 3.7 interpreter...Expanding...Done.
08:30:23:FaceProcessing: Creating Virtual Environment (Shared)...Done
08:30:23:FaceProcessing: Confirming we have Python 3.7 in our virtual environment...present
08:32:21:FaceProcessing: Downloading YOLO models...Expanding...Done.
08:32:21:FaceProcessing: Copying contents of models.zip to assets...done
08:32:21:FaceProcessing: Cleaning up...done
08:32:21:FaceProcessing: Installing Python packages for FaceProcessing
08:32:21:FaceProcessing: [0;Installing GPU-enabled libraries: If available
08:32:22:FaceProcessing: Ensuring Python package manager (pip) is installed...Done
08:32:28:FaceProcessing: Ensuring Python package manager (pip) is up to date...Done
08:32:28:FaceProcessing: Python packages specified by requirements.windows.cuda.txt
08:32:30:FaceProcessing: - Installing urllib3, the HTTP client for Python...(âœ"ï¸ checked) Done
08:32:43:FaceProcessing: - Installing Pandas, a data analysis / data manipulation tool...(âœ"ï¸ checked) Done
08:33:01:FaceProcessing: - Installing CoreMLTools, for working with .mlmodel format models...(âœ"ï¸ checked) Done
08:33:06:FaceProcessing: - Installing OpenCV, the Open source Computer Vision library...(âœ"ï¸ checked) Done
08:33:08:FaceProcessing: - Installing Pillow, a Python Image Library...(âœ"ï¸ checked) Done
08:33:19:FaceProcessing: - Installing SciPy, a library for mathematics, science, and engineering...(âœ"ï¸ checked) Done
08:33:19:FaceProcessing: - Installing PyYAML, a library for reading configuration files...Already installed
08:35:49:FaceProcessing: - Installing PyTorch, an open source machine learning framework...(âœ"ï¸ checked) Done
08:36:48:FaceProcessing: - Installing TorchVision, for working with computer vision models...(âœ"ï¸ checked) Done
08:37:06:FaceProcessing: - Installing Seaborn, a data visualization library based on matplotlib...(âœ"ï¸ checked) Done
08:37:06:FaceProcessing: Installing Python packages for the CodeProject.AI Server SDK
08:37:07:FaceProcessing: Ensuring Python package manager (pip) is installed...Done
08:37:08:FaceProcessing: Ensuring Python package manager (pip) is up to date...Done
08:37:08:FaceProcessing: Python packages specified by requirements.txt
08:37:09:FaceProcessing: - Installing Pillow, a Python Image Library...Already installed
08:37:10:FaceProcessing: - Installing Charset normalizer...Already installed
08:37:13:FaceProcessing: - Installing aiohttp, the Async IO HTTP library...(âœ"ï¸ checked) Done
08:37:15:FaceProcessing: - Installing aiofiles, the Async IO Files library...(âœ"ï¸ checked) Done
08:37:17:FaceProcessing: - Installing py-cpuinfo to allow us to query CPU info...(âœ"ï¸ checked) Done
08:37:18:FaceProcessing: - Installing Requests, the HTTP library...Already installed
08:37:18:FaceProcessing: Setup complete
08:37:18:Module FaceProcessing installed successfully.
08:37:18:
08:37:18:Attempting to start FaceProcessing with C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python "C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer\face.py"
08:37:18:
08:37:18:Module 'Face Processing' 1.8.1 (ID: FaceProcessing)
08:37:18:Module Path: C:\Program Files\CodeProject\AI\modules\FaceProcessing
08:37:18:AutoStart: True
08:37:18:Queue: faceprocessing_queue
08:37:18:Platforms: windows,linux,linux-arm64,macos,macos-arm64
08:37:18:GPU Libraries: installed if available
08:37:18:GPU Enabled: enabled
08:37:18:Parallelism: 0
08:37:18:Accelerator:
08:37:18:Half Precis.: enable
08:37:18:Runtime: python3.7
08:37:18:Runtime Loc: Shared
08:37:18:FilePath: intelligencelayer\face.py
08:37:18:Pre installed: False
08:37:18:Start pause: 3 sec
08:37:18:LogVerbosity:
08:37:18:Valid: True
08:37:18:Environment Variables
08:37:18:APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
08:37:18:DATA_DIR = %DATA_DIR%
08:37:18:MODE = MEDIUM
08:37:18:MODELS_DIR = %CURRENT_MODULE_PATH%\assets
08:37:18:PROFILE = desktop_gpu
08:37:18:USE_CUDA = True
08:37:18:YOLOv5_AUTOINSTALL = false
08:37:18:YOLOv5_VERBOSE = false
08:37:18:
08:37:18:Started Face Processing module
08:37:18:Installer exited with code 0
08:37:18:Installing initial module ObjectDetectionNet.
08:37:18:Preparing to install module 'ObjectDetectionNet'
08:37:18:Downloading module 'ObjectDetectionNet'
08:37:19:Installing module 'ObjectDetectionNet'
08:37:19:Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
08:37:19:ObjectDetectionNet: Installing CodeProject.AI Analysis Module
08:37:19:ObjectDetectionNet: ========================================================================
08:37:19:ObjectDetectionNet: CodeProject.AI Installer
08:37:19:ObjectDetectionNet: ========================================================================
08:37:19:ObjectDetectionNet: General CodeProject.AI setup
08:37:19:ObjectDetectionNet: Creating Directories...Done
08:37:19:ObjectDetectionNet: GPU support
08:37:19:ObjectDetectionNet: CUDA Present...Yes (version 12.3)
08:37:19:ObjectDetectionNet: ROCm Present...False
08:37:20:ObjectDetectionNet: Installing module ObjectDetectionNet 1.7.1
08:37:21:Module FaceProcessing started successfully.
08:37:23:face.py: GPU in use: NVIDIA GeForce RTX 3070
08:37:23:face.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
08:37:23:face.py: USE_MPS not found. Setting to default True
08:37:23:face.py: APPDIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer
08:37:23:face.py: PROFILE: desktop_gpu
08:37:23:face.py: USE_CUDA: True
08:37:23:face.py: DATA_DIR: C:\ProgramData\CodeProject\AI
08:37:23:face.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\assets
08:37:23:face.py: MODE: MEDIUM
08:37:45:ObjectDetectionNet: Downloading ObjectDetectionNet-DirectML-1.7.1.zip...Expanding...Done.
08:37:45:ObjectDetectionNet: Copying contents of ObjectDetectionNet-DirectML-1.7.1.zip to ...done
08:37:45:ObjectDetectionNet: Cleaning up...done
08:38:38:ObjectDetectionNet: Downloading YOLO ONNX models...Expanding...Done.
08:38:38:ObjectDetectionNet: Copying contents of yolonet-models.zip to assets...done
08:38:38:ObjectDetectionNet: Cleaning up...done
08:39:05:ObjectDetectionNet: Downloading Custom YOLO ONNX models...Expanding...Done.
08:39:06:ObjectDetectionNet: Copying contents of yolonet-custom-models.zip to custom-models...done
08:39:06:ObjectDetectionNet: Cleaning up...done
08:39:06:ObjectDetectionNet: Setup complete
08:39:06:Module ObjectDetectionNet installed successfully.
08:39:06:Module ObjectDetectionNet not configured to AutoStart.
08:39:06:Installer exited with code 0
08:39:06:Installing initial module ObjectDetectionYolo.
08:39:06:Preparing to install module 'ObjectDetectionYolo'
08:39:06:Downloading module 'ObjectDetectionYolo'
08:39:06:Installing module 'ObjectDetectionYolo'
08:39:06:Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
08:39:06:ObjectDetectionYolo: Installing CodeProject.AI Analysis Module
08:39:06:ObjectDetectionYolo: ========================================================================
08:39:06:ObjectDetectionYolo: CodeProject.AI Installer
08:39:06:ObjectDetectionYolo: ========================================================================
08:39:06:ObjectDetectionYolo: General CodeProject.AI setup
08:39:07:ObjectDetectionYolo: Creating Directories...Done
08:39:07:ObjectDetectionYolo: GPU support
08:39:07:ObjectDetectionYolo: CUDA Present...Yes (version 12.3)
08:39:07:ObjectDetectionYolo: ROCm Present...False
08:39:07:ObjectDetectionYolo: Installing module ObjectDetectionYolo 1.7.1
08:39:07:ObjectDetectionYolo: Installing Python 3.7
08:39:07:ObjectDetectionYolo: Python 3.7 is already installed
08:39:07:ObjectDetectionYolo: Creating Virtual Environment (Shared)...Virtual Environment already present
08:39:07:ObjectDetectionYolo: Confirming we have Python 3.7 in our virtual environment...present
08:39:37:ObjectDetectionYolo: Downloading Standard YOLO models...Expanding...Done.
08:39:37:ObjectDetectionYolo: Copying contents of models-yolo5-pt.zip to assets...done
08:39:37:ObjectDetectionYolo: Cleaning up...done
08:40:23:ObjectDetectionYolo: Downloading Custom YOLO models...Expanding...Done.
08:40:23:ObjectDetectionYolo: Copying contents of custom-models-yolo5-pt.zip to custom-models...done
08:40:23:ObjectDetectionYolo: Cleaning up...done
08:40:23:ObjectDetectionYolo: Installing Python packages for ObjectDetectionYolo
08:40:23:ObjectDetectionYolo: [0;Installing GPU-enabled libraries: If available
08:40:25:ObjectDetectionYolo: Ensuring Python package manager (pip) is installed...Done
08:40:26:ObjectDetectionYolo: Ensuring Python package manager (pip) is up to date...Done
08:40:26:ObjectDetectionYolo: Python packages specified by requirements.windows.cuda.txt
08:40:27:ObjectDetectionYolo: - Installing Pandas, a data analysis / data manipulation tool...Already installed
08:40:28:ObjectDetectionYolo: - Installing CoreMLTools, for working with .mlmodel format models...Already installed
08:40:29:ObjectDetectionYolo: - Installing OpenCV, the Open source Computer Vision library...Already installed
08:40:29:ObjectDetectionYolo: - Installing Pillow, a Python Image Library...Already installed
08:40:30:ObjectDetectionYolo: - Installing SciPy, a library for mathematics, science, and engineering...Already installed
08:40:31:ObjectDetectionYolo: - Installing PyYAML, a library for reading configuration files...Already installed
08:40:32:ObjectDetectionYolo: - Installing PyTorch, an open source machine learning framework...Already installed
08:40:32:ObjectDetectionYolo: - Installing TorchVision, for working with computer vision models...Already installed
08:41:27:ObjectDetectionYolo: - Installing Ultralytics YoloV5 package for object detection in images...(âœ"ï¸ checked) Done
08:41:28:ObjectDetectionYolo: - Installing Seaborn, a data visualization library based on matplotlib...Already installed
08:41:28:ObjectDetectionYolo: Installing Python packages for the CodeProject.AI Server SDK
08:41:30:ObjectDetectionYolo: Ensuring Python package manager (pip) is installed...Done
08:41:32:ObjectDetectionYolo: Ensuring Python package manager (pip) is up to date...Done
08:41:32:ObjectDetectionYolo: Python packages specified by requirements.txt
08:41:33:ObjectDetectionYolo: - Installing Pillow, a Python Image Library...Already installed
08:41:34:ObjectDetectionYolo: - Installing Charset normalizer...Already installed
08:41:34:ObjectDetectionYolo: - Installing aiohttp, the Async IO HTTP library...Already installed
08:41:35:ObjectDetectionYolo: - Installing aiofiles, the Async IO Files library...Already installed
08:41:36:ObjectDetectionYolo: - Installing py-cpuinfo to allow us to query CPU info...Already installed
08:41:37:ObjectDetectionYolo: - Installing Requests, the HTTP library...Already installed
08:41:37:ObjectDetectionYolo: Setup complete
08:41:37:Module ObjectDetectionYolo installed successfully.
08:41:37:
08:41:37:Attempting to start ObjectDetectionYolo with C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect_adapter.py"
08:41:37:
08:41:37:Module 'Object Detection (YOLOv5 6.2)' 1.7.1 (ID: ObjectDetectionYolo)
08:41:37:Module Path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
08:41:37:AutoStart: True
08:41:37:Queue: objectdetection_queue
08:41:37:Platforms: all
08:41:37:GPU Libraries: installed if available
08:41:37:GPU Enabled: enabled
08:41:37:Parallelism: 0
08:41:37:Accelerator:
08:41:37:Half Precis.: enable
08:41:37:Runtime: python3.7
08:41:37:Runtime Loc: Shared
08:41:37:FilePath: detect_adapter.py
08:41:37:Pre installed: False
08:41:37:Start pause: 1 sec
08:41:37:LogVerbosity:
08:41:37:Valid: True
08:41:37:Environment Variables
08:41:37:APPDIR = %CURRENT_MODULE_PATH%
08:41:37:CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%/custom-models
08:41:37:MODELS_DIR = %CURRENT_MODULE_PATH%/assets
08:41:37:MODEL_SIZE = Medium
08:41:37:USE_CUDA = True
08:41:37:YOLOv5_AUTOINSTALL = false
08:41:37:YOLOv5_VERBOSE = false
08:41:37:
08:41:37:Started Object Detection (YOLOv5 6.2) module
08:41:37:Installer exited with code 0
08:41:38:Module ObjectDetectionYolo started successfully.
08:41:41:detect_adapter.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
08:41:41:detect_adapter.py: APPDIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
08:41:41:detect_adapter.py: MODEL_SIZE: medium
08:41:41:detect_adapter.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\assets
08:42:05:Preparing to install module 'ALPR'
08:42:05:Downloading module 'ALPR'
08:42:06:Installing module 'ALPR'
08:42:06:Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
08:42:06:ALPR: Installing CodeProject.AI Analysis Module
08:42:06:ALPR: ========================================================================
08:42:06:ALPR: CodeProject.AI Installer
08:42:06:ALPR: ========================================================================
08:42:06:ALPR: General CodeProject.AI setup
08:42:06:ALPR: Creating Directories...Done
08:42:06:ALPR: GPU support
08:42:06:ALPR: CUDA Present...Yes (version 12.3)
08:42:07:ALPR: ROCm Present...False
08:42:07:ALPR: Installing module ALPR 2.7.2
08:42:07:ALPR: Installing Python 3.7
08:42:07:ALPR: Python 3.7 is already installed
08:42:11:ALPR: Creating Virtual Environment (Local)...Done
08:42:11:ALPR: Confirming we have Python 3.7 in our virtual environment...present
08:42:16:ALPR: Downloading ALPR models...Expanding...Done.
08:42:16:ALPR: Copying contents of paddleocr-models.zip to paddleocr...done
08:42:16:ALPR: Cleaning up...done
08:42:16:ALPR: Installing Python packages for ALPR
08:42:16:ALPR: [0;Installing GPU-enabled libraries: If available
08:42:17:ALPR: Ensuring Python package manager (pip) is installed...Done
08:42:23:ALPR: Ensuring Python package manager (pip) is up to date...Done
08:42:23:ALPR: Python packages specified by requirements.windows.cuda12.txt
08:43:57:ALPR: - Installing PaddlePaddle, Parallel Distributed Deep Learning...(âœ"ï¸ checked) Done
08:44:34:ALPR: - Installing PaddleOCR, the OCR toolkit based on PaddlePaddle...(âœ"ï¸ checked) Done
08:44:36:ALPR: - Installing imutils, the image utilities library...(âœ"ï¸ checked) Done
08:44:37:ALPR: - Installing Pillow, a Python Image Library...Already installed
08:44:38:ALPR: - Installing OpenCV, the Computer Vision library for Python...Already installed
08:44:39:ALPR: - Installing NumPy, a package for scientific computing...Already installed
08:44:39:ALPR: Installing Python packages for the CodeProject.AI Server SDK
08:44:40:ALPR: Ensuring Python package manager (pip) is installed...Done
08:44:42:ALPR: Ensuring Python package manager (pip) is up to date...Done
08:44:42:ALPR: Python packages specified by requirements.txt
08:44:43:ALPR: - Installing Pillow, a Python Image Library...Already installed
08:44:44:ALPR: - Installing Charset normalizer...Already installed
08:44:47:ALPR: - Installing aiohttp, the Async IO HTTP library...(âœ"ï¸ checked) Done
08:44:50:ALPR: - Installing aiofiles, the Async IO Files library...(âœ"ï¸ checked) Done
08:44:52:ALPR: - Installing py-cpuinfo to allow us to query CPU info...(âœ"ï¸ checked) Done
08:44:52:ALPR: - Installing Requests, the HTTP library...Already installed
08:44:53:ALPR: Setup complete
08:44:53:Module ALPR installed successfully.
08:44:53:
08:44:53:Attempting to start ALPR with C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python37\venv\Scripts\python "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py"
08:44:53:
08:44:53:Module 'License Plate Reader' 2.7.2 (ID: ALPR)
08:44:53:Module Path: C:\Program Files\CodeProject\AI\modules\ALPR
08:44:53:AutoStart: True
08:44:53:Queue: alpr_queue
08:44:53:Platforms: windows,linux,linux-arm64,macos,macos-arm64,!orangepi,!jetson
08:44:53:GPU Libraries: installed if available
08:44:53:GPU Enabled: enabled
08:44:53:Parallelism: 0
08:44:53:Accelerator:
08:44:53:Half Precis.: enable
08:44:53:Runtime: python3.7
08:44:53:Runtime Loc: Local
08:44:53:FilePath: ALPR_adapter.py
08:44:53:Pre installed: False
08:44:53:Start pause: 1 sec
08:44:53:LogVerbosity:
08:44:53:Valid: True
08:44:53:Environment Variables
08:44:53:AUTO_PLATE_ROTATE = True
08:44:53:MIN_COMPUTE_CAPABILITY = 7
08:44:53:MIN_CUDNN_VERSION = 7
08:44:53:OCR_OPTIMAL_CHARACTER_HEIGHT = 60
08:44:53:OCR_OPTIMAL_CHARACTER_WIDTH = 36
08:44:53:OCR_OPTIMIZATION = True
08:44:53:PLATE_CONFIDENCE = 0.7
08:44:53:PLATE_RESCALE_FACTOR = 2
08:44:53:PLATE_ROTATE_DEG = 0
08:44:53:
08:44:53:Started License Plate Reader module
08:44:53:Installer exited with code 0
08:44:53:Call to Install on module ALPR has completed.
08:44:53:ALPR_adapter.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
08:44:53:ALPR_adapter.py: Traceback (most recent call last):
08:44:53:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 17, in
08:44:53:ALPR_adapter.py: from ALPR import init_detect_platenumber, detect_platenumber
08:44:53:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR.py", line 19, in
08:44:53:ALPR_adapter.py: from paddleocr import PaddleOCR
08:44:53:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python37\venv\lib\site-packages\paddleocr\__init__.py", line 14, in
08:44:53:ALPR_adapter.py: from .paddleocr import *
08:44:53:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python37\venv\lib\site-packages\paddleocr\paddleocr.py", line 21, in
08:44:53:ALPR_adapter.py: import paddle
08:44:53:ALPR_adapter.py: ModuleNotFoundError: No module named 'paddle'
08:44:53:Module ALPR has shutdown
08:44:53:ALPR_adapter.py: has exited
08:44:54:Module ALPR started successfully.
08:46:19:
08:46:19:Attempting to start ALPR with C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python37\venv\Scripts\python "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py"
08:46:19:
08:46:19:Module 'License Plate Reader' 2.7.2 (ID: ALPR)
08:46:19:Module Path: C:\Program Files\CodeProject\AI\modules\ALPR
08:46:19:AutoStart: True
08:46:19:Queue: alpr_queue
08:46:19:Platforms: windows,linux,linux-arm64,macos,macos-arm64,!orangepi,!jetson
08:46:19:GPU Libraries: installed if available
08:46:19:GPU Enabled: enabled
08:46:19:Parallelism: 0
08:46:19:Accelerator:
08:46:19:Half Precis.: enable
08:46:19:Runtime: python3.7
08:46:19:Runtime Loc: Local
08:46:19:FilePath: ALPR_adapter.py
08:46:19:Pre installed: False
08:46:19:Start pause: 1 sec
08:46:19:LogVerbosity:
08:46:19:Valid: True
08:46:19:Environment Variables
08:46:19:AUTO_PLATE_ROTATE = True
08:46:19:MIN_COMPUTE_CAPABILITY = 7
08:46:19:MIN_CUDNN_VERSION = 7
08:46:19:OCR_OPTIMAL_CHARACTER_HEIGHT = 60
08:46:19:OCR_OPTIMAL_CHARACTER_WIDTH = 36
08:46:19:OCR_OPTIMIZATION = True
08:46:19:PLATE_CONFIDENCE = 0.7
08:46:19:PLATE_RESCALE_FACTOR = 2
08:46:19:PLATE_ROTATE_DEG = 0
08:46:19:
08:46:19:Started License Plate Reader module
08:46:19:ALPR_adapter.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
08:46:19:ALPR_adapter.py: Traceback (most recent call last):
08:46:19:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 17, in
08:46:19:ALPR_adapter.py: from ALPR import init_detect_platenumber, detect_platenumber
08:46:19:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR.py", line 19, in
08:46:19:ALPR_adapter.py: from paddleocr import PaddleOCR
08:46:19:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python37\venv\lib\site-packages\paddleocr\__init__.py", line 14, in
08:46:19:ALPR_adapter.py: from .paddleocr import *
08:46:19:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python37\venv\lib\site-packages\paddleocr\paddleocr.py", line 21, in
08:46:19:ALPR_adapter.py: import paddle
08:46:19:ALPR_adapter.py: ModuleNotFoundError: No module named 'paddle'
08:46:19:Module ALPR has shutdown
08:46:19:ALPR_adapter.py: has exited
08:46:38:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command
08:46:38:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command
08:46:38:Object Detection (YOLOv5 6.2): Rec'd request for Object Detection (YOLOv5 6.2) command 'list-custom' (...cd00e8) took 3ms
08:46:38:Object Detection (YOLOv5 6.2): Rec'd request for Object Detection (YOLOv5 6.2) command 'list-custom' (...2d5338) took 2ms
Logging level
debug
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From the log it looks like all the modules were installed but when the ALPR module starts up it is not seeing the paddle module. Can you check if the highlighted folder is on your system.
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