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Hi all,
A vast, big THANK YOU to those who made Codeproject.ai work with Debian!
I've got version 2.5.4 installed, however I cannot install any module, I keep getting "Call Failed" every time I click on "Install" for any module. Nothing gets downloaded, so I can't manually install the module.
What am I doing wrong? Any advice would be greatly appreciated. Thank you!
System Info:
Server version: 2.5.4
System: Linux
Operating System: Linux (Debian GNU/Linux 12)
CPUs: Intel(R) Xeon(R) CPU E3-1220 v5 @ 3.00GHz (Intel)
1 CPU x 4 cores. 4 logical processors (x64)
GPU (Primary): Tesla P4 (8 GiB) (NVIDIA)
Driver: 550.54.14, CUDA: 12.4 (up to: 12.4), Compute: 6.1, cuDNN:
System RAM: 8 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Native (SSH)
Runtime Env: Production
.NET framework: .NET 7.0.15
Default Python: 3.11
Go Version:
Video adapter info:
Matrox Electronics Systems Ltd. G200eR2 (rev 01):
Driver Version
Video Processor
System GPU info:
GPU 3D Usage 3%
GPU RAM Usage 1.5 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Logs:
9:51:08:System: Linux
09:51:08:Operating System: Linux (Debian GNU/Linux 12)
09:51:08:CPUs: Intel(R) Xeon(R) CPU E3-1220 v5 @ 3.00GHz (Intel)
09:51:08: 1 CPU x 4 cores. 4 logical processors (x64)
09:51:08:GPU (Primary): Tesla P4 (8 GiB) (NVIDIA)
09:51:08: Driver: 550.54.14, CUDA: 12.4 (up to: 12.4), Compute: 6.1, cuDNN:
09:51:08:System RAM: 8 GiB
09:51:08:Platform: Linux
09:51:08:BuildConfig: Release
09:51:08:Execution Env: Native (SSH)
09:51:08:Runtime Env: Production
09:51:08:.NET framework: .NET 7.0.15
09:51:08:Default Python: 3.11
09:51:08:Go Version:
09:51:08:App DataDir: /etc/codeproject/ai
09:51:08:Video adapter info:
09:51:08: Matrox Electronics Systems Ltd. G200eR2 (rev 01):
09:51:08: Driver Version
09:51:08: Video Processor
09:51:08:STARTING CODEPROJECT.AI SERVER
09:51:08:RUNTIMES_PATH = /usr/bin/codeproject.ai-server-2.5.4/runtimes
09:51:08:PREINSTALLED_MODULES_PATH = /usr/bin/codeproject.ai-server-2.5.4/preinstalled-modules
09:51:08:MODULES_PATH = /usr/bin/codeproject.ai-server-2.5.4/modules
09:51:08:PYTHON_PATH = /bin/linux/%PYTHON_NAME%/venv/bin/python3
09:51:08:Data Dir = /etc/codeproject/ai
09:51:08:Server version: 2.5.4
09:51:08:ModuleRunner Start
09:51:08:Starting Background AI Modules
09:51:14:Current Version is 2.5.4
09:51:14:A new version 2.5.6 is available
10:03:07:API server is offline (NetworkError when attempting to fetch resource.)
10:03:49:API server is offline (NetworkError when attempting to fetch resource.)
10:03:54:API server is offline (NetworkError when attempting to fetch resource.)
modified 4-Mar-24 15:48pm.
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Thanks very much for the report. Once we have it available, we'd like you to try 2.5.6, which may resolve this issue.
Thanks,
Sean Ewington
CodeProject
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Just reinstalled the TrainingYoloV5 from scratch and it is failing to start...
10:06:57:Preparing to install module 'TrainingObjectDetectionYOLOv5'
10:06:57:Downloading module 'TrainingObjectDetectionYOLOv5'
10:06:59:Installing module 'TrainingObjectDetectionYOLOv5'
10:06:59:TrainingObjectDetectionYOLOv5: Setting verbosity to quiet
10:06:59:TrainingObjectDetectionYOLOv5: Hi Docker! We will disable shared python installs for downloaded modules
10:06:59:TrainingObjectDetectionYOLOv5: No schemas installed
10:06:59:TrainingObjectDetectionYOLOv5: (No schemas means: we can't detect if you're in light or dark mode)
10:06:59:TrainingObjectDetectionYOLOv5: Installing CodeProject.AI Analysis Module
10:06:59:TrainingObjectDetectionYOLOv5: ======================================================================
10:06:59:TrainingObjectDetectionYOLOv5: CodeProject.AI Installer
10:06:59:TrainingObjectDetectionYOLOv5: ======================================================================
10:06:59:TrainingObjectDetectionYOLOv5: 5.01 TiB of 8.00 TiB available on Docker
10:06:59:TrainingObjectDetectionYOLOv5: Installing xz-utils...
10:06:59:TrainingObjectDetectionYOLOv5: WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
10:06:59:TrainingObjectDetectionYOLOv5: WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
10:07:06:TrainingObjectDetectionYOLOv5: General CodeProject.AI setup
10:07:06:TrainingObjectDetectionYOLOv5: Setting permissions on downloads folder...Done
10:07:06:TrainingObjectDetectionYOLOv5: Setting permissions on runtimes folder...Done
10:07:06:TrainingObjectDetectionYOLOv5: Setting permissions on persisted data folder...Done
10:07:06:TrainingObjectDetectionYOLOv5: GPU support
10:07:06:TrainingObjectDetectionYOLOv5: CUDA (NVIDIA) Present: No
10:07:19:TrainingObjectDetectionYOLOv5: ROCm (AMD) Present: (attempt to install rocminfo... ) No
10:07:19:TrainingObjectDetectionYOLOv5: MPS (Apple) Present: No
10:07:20:TrainingObjectDetectionYOLOv5: Reading module settings.......Done
10:07:20:TrainingObjectDetectionYOLOv5: Processing module TrainingObjectDetectionYOLOv5 1.6.3
10:07:20:TrainingObjectDetectionYOLOv5: Installing Python 3.8
10:07:20:TrainingObjectDetectionYOLOv5: Python 3.8 is already installed
10:07:39:TrainingObjectDetectionYOLOv5: Ensuring PIP in base python install... done
10:07:47:TrainingObjectDetectionYOLOv5: Upgrading PIP in base python install... done
10:07:47:TrainingObjectDetectionYOLOv5: Virtual Environment already present
10:07:47:TrainingObjectDetectionYOLOv5: Checking for Python 3.8...(Found Python 3.8.18) All good
10:07:57:TrainingObjectDetectionYOLOv5: Upgrading PIP in virtual environment... done
10:08:07:TrainingObjectDetectionYOLOv5: Installing updated setuptools in venv... Done
10:08:11:TrainingObjectDetectionYOLOv5: Searching for libcurl4...All good.
10:08:11:TrainingObjectDetectionYOLOv5: deb http://security.ubuntu.com/ubuntu focal-security main
10:08:31:TrainingObjectDetectionYOLOv5: Searching for libssl1.1...installing... Done
10:08:46:TrainingObjectDetectionYOLOv5: Downloading Standard YOLO models...Expanding... Done.
10:08:47:TrainingObjectDetectionYOLOv5: Moving contents of models-yolo5-pt.zip to assets...done.
10:08:47:TrainingObjectDetectionYOLOv5: Installing Python packages for Training for YoloV5 6.2
10:08:47:TrainingObjectDetectionYOLOv5: Installing GPU-enabled libraries: If available
10:08:51:TrainingObjectDetectionYOLOv5: Searching for python3-pip...All good.
10:09:03:TrainingObjectDetectionYOLOv5: Ensuring PIP compatibility... Done
10:09:03:TrainingObjectDetectionYOLOv5: Python packages will be specified by requirements.txt
10:09:10:TrainingObjectDetectionYOLOv5: - Installing urllib3, the HTTP client for Python...Already installed
10:09:18:TrainingObjectDetectionYOLOv5: - Installing matplotlib, the python plotting package...Already installed
10:09:25:TrainingObjectDetectionYOLOv5: - Installing NumPy, a package for scientific computing...Already installed
10:09:33:TrainingObjectDetectionYOLOv5: - Installing OpenCV, the Open source Computer Vision library...Already installed
10:09:40:TrainingObjectDetectionYOLOv5: - Installing Pillow, a Python Image Library...Already installed
10:09:48:TrainingObjectDetectionYOLOv5: - Installing PyYAML, a library for reading configuration files...Already installed
10:09:55:TrainingObjectDetectionYOLOv5: - Installing request, the HTTP library...Already installed
10:10:03:TrainingObjectDetectionYOLOv5: - Installing SciPy, a library for mathematics, science, and engineering...Already installed
10:10:10:TrainingObjectDetectionYOLOv5: - Installing Torch, for Tensor computation and Deep neural networks...Already installed
10:10:18:TrainingObjectDetectionYOLOv5: - Installing TorchVision, for Computer Vision based AI...Already installed
10:10:25:TrainingObjectDetectionYOLOv5: - Installing tdqm, the Fast, Extensible Progress Meter...Already installed
10:10:33:TrainingObjectDetectionYOLOv5: - Installing protobuf, extensible mechanisms for serializing structured data...Already installed
10:10:40:TrainingObjectDetectionYOLOv5: - Installing tensorboard, a tool to let you watch Tensors Flow...Already installed
10:10:48:TrainingObjectDetectionYOLOv5: - Installing Pandas, a data analysis / data manipulation tool...Already installed
10:10:55:TrainingObjectDetectionYOLOv5: - Installing Seaborn, a data visualization library based on matplotlib...Already installed
10:11:03:TrainingObjectDetectionYOLOv5: - Installing ipython, for interactive notebooks...Already installed
10:11:10:TrainingObjectDetectionYOLOv5: - Installing psutil, a tool to check system utilization...Already installed
10:11:17:TrainingObjectDetectionYOLOv5: - Installing thop, a tool to count the FLOPs of PyTorch model....Already installed
10:11:25:TrainingObjectDetectionYOLOv5: - Installing Ultralytics YoloV5 package for object detection in images...Already installed
10:11:32:TrainingObjectDetectionYOLOv5: - Installing fiftyone, for building datasets and computer vision models...Already installed
10:11:32:TrainingObjectDetectionYOLOv5: Installing Python packages for the CodeProject.AI Server SDK
10:11:37:TrainingObjectDetectionYOLOv5: Searching for python3-pip...All good.
10:11:48:TrainingObjectDetectionYOLOv5: Ensuring PIP compatibility... Done
10:11:48:TrainingObjectDetectionYOLOv5: Python packages will be specified by requirements.txt
10:11:56:TrainingObjectDetectionYOLOv5: - Installing Pillow, a Python Image Library...Already installed
10:12:03:TrainingObjectDetectionYOLOv5: - Installing Charset normalizer...Already installed
10:12:10:TrainingObjectDetectionYOLOv5: - Installing aiohttp, the Async IO HTTP library...Already installed
10:12:18:TrainingObjectDetectionYOLOv5: - Installing aiofiles, the Async IO Files library...Already installed
10:12:25:TrainingObjectDetectionYOLOv5: - Installing py-cpuinfo to allow us to query CPU info...Already installed
10:12:32:TrainingObjectDetectionYOLOv5: - Installing Requests, the HTTP library...Already installed
10:12:53:TrainingObjectDetectionYOLOv5: Self test: Self-test passed
10:12:53:TrainingObjectDetectionYOLOv5: Module setup time 00:05:34
10:12:53:TrainingObjectDetectionYOLOv5: Setup complete
10:12:53:TrainingObjectDetectionYOLOv5: Total setup time 00:05:54
10:12:53:Module TrainingObjectDetectionYOLOv5 installed successfully.
10:12:53:Installer exited with code 0
10:12:53:Module TrainingObjectDetectionYOLOv5 not configured to AutoStart.
10:13:19:Update TrainingObjectDetectionYOLOv5. Setting AutoStart=true
10:13:19:Restarting Training for YoloV5 6.2 to apply settings change
10:13:19:
10:13:19:Module 'Training for YoloV5 6.2' 1.6.3 (ID: TrainingObjectDetectionYOLOv5)
10:13:19:Valid: True
10:13:19:Module Path: <root>/modules/TrainingObjectDetectionYOLOv5
10:13:19:AutoStart: True
10:13:19:Queue: trainingobjectdetectionyolov5_queue
10:13:19:Runtime: python3.8
10:13:19:Runtime Loc: Local
10:13:19:FilePath: training_objectdetection_YOLOv5_adapter.py
10:13:19:Pre installed: False
10:13:19:Start pause: 1 sec
10:13:19:Parallelism: 2
10:13:19:LogVerbosity:
10:13:19:Platforms: all,!raspberrypi,!orangepi,!jetson
10:13:19:GPU Libraries: installed if available
10:13:19:GPU Enabled: enabled
10:13:19:Accelerator:
10:13:19:Half Precis.: enable
10:13:19:Environment Variables
10:13:19:FIFTYONE_DATABASE_DIRNAME = fiftyone
10:13:19:YOLOv5_AUTOINSTALL = false
10:13:19:YOLOv5_VERBOSE = false
10:13:19:YOLO_DATASETS_DIRNAME = datasets
10:13:19:YOLO_DATASET_ZOO_DIRNAME = zoo
10:13:19:YOLO_MODELS_DIRNAME = assets
10:13:19:YOLO_TRAINING_DIRNAME = train
10:13:19:YOLO_WEIGHTS_DIRNAME = weights
10:13:19:
10:13:19:Started Training for YoloV5 6.2 module
10:13:46:training_objectdetection_YOLOv5_adapter.py: Subprocess ['/app/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/db/bin/mongod', '--dbpath', '/app/modules/TrainingObjectDetectionYOLOv5/fiftyone', '--logpath', '/app/modules/TrainingObjectDetectionYOLOv5/fiftyone/log/mongo.log', '--port', '0', '--nounixsocket'] exited with error -4:
10:14:34:detect_adapter.py: YOLOv5.1m summary: 391 layers, 21805053 parameters, 0 gradients
10:14:34:detect_adapter.py: Adding AutoShape...
10:14:39:training_objectdetection_YOLOv5_adapter.py: Unable to import and initialise the fiftyone.zoo package: fiftyone.core.service.DatabaseService failed to bind to port
10:14:42:Module TrainingObjectDetectionYOLOv5 has shutdown
10:14:42:training_objectdetection_YOLOv5_adapter.py: has exited
CPU-info:
Server version: 2.5.6
System: Docker
Operating System: Linux (Ubuntu 22.04)
CPUs: Intel(R) Atom(TM) CPU C2538 @ 2.40GHz (Intel)
1 CPU x 4 cores. 4 logical processors (x64)
System RAM: 8 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Docker
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.16
.NET SDK: Not found
Default Python: Not found
Go: Not found
NodeJS: Not found
Video adapter info:
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Any recommendation on how to fix this ?
modified 5-Mar-24 11:57am.
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Thanks very much for your report. Have you mapped your folders for your install?
Thanks,
Sean Ewington
CodeProject
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Hi,
i got 2 folders mounted through my docker compose:
volumes:
- /volume1/docker/senseAI/config:/etc/codeproject/ai
- /volume1/docker/senseAI/modules:/app/modules
the module was installed through the GUI so I'm unable to specify any arguments.
Any recommendation if other folders need to be mounted ?
Based on the error returned, issue looks to be related to embedded MongoDB in FiftyOne module.
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Sometimes the MongoDb package does not initialize correctly.
Try restarting the module.
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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Already done that several times... also reinstalled 3 times already... always same error...
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Hello.
Tried to update my CP (2.2.4 ver) running on Docker on RPI5 to 2.5.6 however 2.5.6 wont start, error log is:
/bin/bash: line 1: pstree: command not found
Unhandled exception. System.Collections.Generic.KeyNotFoundException: The given key 'version' was not present in the dictionary.
at System.Collections.Generic.Dictionary`2.get_Item(TKey key)
at CodeProject.AI.SDK.Common.SystemInfo.GetRuntimesAsync()
at CodeProject.AI.SDK.Common.SystemInfo.InitializeAsync()
at CodeProject.AI.Server.Program.Main(String[] args)
at CodeProject.AI.Server.Program.<Main>(String[] args)
Any hints how to fix this ?
modified 14-Mar-24 12:22pm.
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Can I ask you: which of the following do you have installed on your system (that you're aware of):
.NET 7
Python
Go
nodejs
Rust
Thanks,
Sean Ewington
CodeProject
modified 4-Mar-24 16:13pm.
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I have installed:
- Raspbian 12 bookworm (Linux raspberryzero52 6.1.0-rpi8-rpi-2712 #1 SMP PREEMPT Debian 1:6.1.73-1+rpt1 (2024-01-25) aarch64 GNU/Linux)
- Docker version 25.0.3, build 4debf41
Nothing else (except some containers).
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Which Docker image are you running?
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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This is a fatal bug in the 2.5.4 (or maybe 2.5.5) version of the Linux Docker images that should be fixed in the 2.5.6 version of the Linux Docker images. To the best of my knowledge, a 2.5.6 Docker image for the RPi has not been released yet.
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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We've released rpi64-2.5.6, please let us know if that helps.
Docker[^]
Thanks,
Sean Ewington
CodeProject
modified 14-Mar-24 12:22pm.
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Works fine now with 2.5.6+0001 
Thanks for all the work !
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Same issue here, tried Arm64 version on Mac M1 and Oracle VM (Arm), both the same issue.
Mac: Docker version 24.0.6, build ed223bc
Oracle VM: Docker version 24.0.5, build 24.0.5-0ubuntu1~22.04.1
modified 14-Mar-24 12:22pm.
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Thanks very much for the message. Does 2.6.2 work for you?
Thanks,
Sean Ewington
CodeProject
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Hi there,
Am trying to install 2.1.4 of Object Detection with Coral. The install fails with the following two errors:
21:57:30:ObjectDetectionCoral: ERROR:root:Unable to create interpreter for TPU usb:0: Failed to load delegate from edgetpu.dll
21:57:30:ObjectDetectionCoral: WARNING:root:Unable to create interpreter for CPU using edgeTPU library: Failed to load delegate from edgetpu.dll
When I remove the module and re-install I receive the following errors:
22:27:43:objectdetection_coral_adapter.py: WARNING: Logging before InitGoogleLogging() is written to STDERR
22:27:43:objectdetection_coral_adapter.py: I20240303 22:27:43.622051 3948 pipelined_model_runner.cc:171] Thread: 3948 receives empty request
22:27:43:objectdetection_coral_adapter.py: I20240303 22:27:43.622051 3948 pipelined_model_runner.cc:244] Thread: 3948 is shutting down the pipeline...
22:27:43:objectdetection_coral_adapter.py: I20240303 22:27:43.622051 3948 pipelined_model_runner.cc:254] Thread: 3948 Pipeline is off.
22:27:43:objectdetection_coral_adapter.py: I20240303 22:27:43.622051 10928 pipelined_model_runner.cc:206] Queue is empty and `StopWaiters()` is called.
22:27:43:objectdetection_coral_adapter.py: I20240303 22:27:43.623049 3948 pipelined_model_runner.cc:171] Thread: 3948 receives empty request
22:27:43:objectdetection_coral_adapter.py: E20240303 22:27:43.623049 3948 pipelined_model_runner.cc:239] Thread: 3948 Pipeline was turned off before.
22:27:43:objectdetection_coral_adapter.py: I20240303 22:27:43.623049 3948 pipelined_model_runner.cc:206] Queue is empty and `StopWaiters()` is called.
22:27:43:objectdetection_coral_adapter.py: E20240303 22:27:43.623049 3948 pipelined_model_runner.cc:239] Thread: 3948 Pipeline was turned off before.
22:27:43:objectdetection_coral_adapter.py: E20240303 22:27:43.623049 3948 pipelined_model_runner.cc:146] Failed to shutdown status: INTERNAL: Pipeline was turned off before.
The error reported by Agent when motion is detected on a camera is:
10:35:17 PM Front Door: SetFailed: Message from CPAI: Unable to create interpreter at CoreLogic.AI.ObjectRecognizer.<Detect>d__7.MoveNext()
Any suggestions would be appreciated. Thanks.
modified 5-Mar-24 11:34am.
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I’m not sure what’s going wrong, but wanted to mention that the messages in your second block quote are normal. While they look like errors, most are not.
It’s common to have problems with the Coral USB connection, but I don’t have a good answer for solutions there.
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I'll need more info, but am I right in assuming Coral.AI using USB on Windows?
"unable to create interpter" is something I see often in this setup. For me, I either unplug the USB and try a different port, or restart the Coral module itself. It's very finicky unfortunately.
cheers
Chris Maunder
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Thanks for the reply Chris,
Yes the coral stick is connected via USB. After re-installing the module a number of times I have managed to get the install to complete without the error in the first code block, however in all cases I still receive the errors in the second and third code block (the last code block is from Agent itself when it tries to call the object detection).
For now I have rolled back to CPAI beta 2.1.11 as this works flawlessly with my coral stick.
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HI Everyone, trying to get CPAI setup to read license plates in blue iris. I have tried installing and reinstalling the module a few times, and the same error keeps happening below with the ALPR module every time I run it. Any ideas on why this may be happening>
I am using the following versions
CPAI Version: 2.5.4
Object Detection (YOLOv5 6.2) 1.9.1
License Plate Reader 3.0.2
15:08:02:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:45:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:46:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:46:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:46:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:46:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:46:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:46:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:46:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: Unable to store log entry: Permission denied
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
15:08:46:ALPR_adapter.py: No open session available for ALPR to connect to the server.alpr_queue: No open session available for ALPR to connect to the server.
modified 14-Mar-24 12:25pm.
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Thanks very much for your report. Could you please share your System Info tab from your CodeProject.AI Server dashboard?
Thanks,
Sean Ewington
CodeProject
modified 14-Mar-24 12:25pm.
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I am having the same issue heres the info for me:
<pre>Server version: 2.5.4
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i5-9600K CPU @ 3.70GHz (Intel)
1 CPU x 6 cores. 6 logical processors (x64)
GPU (Primary): NVIDIA GeForce RTX 2070 (8 GiB) (NVIDIA)
Driver: 551.23, CUDA: 12.4 (up to: 12.4), Compute: 7.5, cuDNN:
System RAM: 32 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.5
Default Python:
Video adapter info:
NVIDIA GeForce RTX 2070:
Driver Version 31.0.15.5123
Video Processor NVIDIA GeForce RTX 2070
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 1 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
modified 14-Mar-24 12:25pm.
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Hi there,
I have an ongoing issue after updating to ALPR 2.5. I have re-installed a few times but continue to receive the below error and ALPR fails to detect plate numbers in Agent 5.3. Not sure if there is any particular fix or if it's possible to roll back to the previous version?
Many thanks for any suggestions.
21:55:05:License Plate Reader: [KeyError] : Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR.py", line 86, in detect_platenumber
if not detect_plate_response["success"]:
KeyError: 'success'
modified 4-Mar-24 16:23pm.
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