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Hi.
The Background Remover module has been unavailable for several versions (and months). It is on the list of modules, but it cannot be installed.
In the docker GPU version.
Is this module available?
<a href='/Uploads/Content/Images/51fd8bc8-8906-4661-9b81-ca845f800180.png' target=_blank><img src='/Uploads/Content/Images/51fd8bc8-8906-4661-9b81-ca845f800180-small.png' width='600' height='346' /></a>
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The module does not support Linux
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Thanks.
Version 1.1 of the module worked without problem in docker.
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2.3.4 is a fail on my machine. Is there a link for older versions? Thanks!
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couldn't resist. reloaded 2.3.4. YOLO.NET appears to work, no LPR.
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I've tried codeproject/ai-server:cuda12_2-2.3.2, codeproject/ai-server:gpu, codeproject/ai-server:cuda11_7 and it continues to not use the gpu although it shows up next to the cpu reading. I'm only able to install cuda12.3. I thought 12_2 would work with it, but this is not the case. Will CPI be updated to use 12.3 cuda? Or is it possible for Google Coral TPU can be used for Facial Recognition? Thanks.
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Thanks very much for your message. Could you please share your System Info tab from the CodeProject.AI Server dashboard, and any logs you have for errors you are getting?
Currently to have the Object Detection Coral module work as a face detector you would need an object detection model for coral trained on faces. Something like: mediapipe/mediapipe/examples/coral/models at master · google/mediapipe · GitHub[^]
Thanks,
Sean Ewington
CodeProject
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```
Server version: 2.3.2-Alpha
System: Docker
Operating System: Linux (Linux 6.2.16-19-pve #1 SMP PREEMPT_DYNAMIC PMX 6.2.16-19 (2023-10-24T12:07Z))
CPUs: AMD Ryzen 5 3600 6-Core Processor (AMD)
1 CPU x 6 cores. 12 logical processors (x64)
GPU: NVIDIA GeForce GTX 1660 SUPER (6 GiB) (NVIDIA)
Driver: 545.23.06 CUDA: 12.3 (max supported: 12.3) Compute: 7.5
System RAM: 63 GiB
Target: Linux
BuildConfig: Release
Execution Env: Docker
Runtime Env: Production
.NET framework: .NET 7.0.13
Video adapter info:
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 209 MiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
```
```
20:57:49:face.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
20:57:49:face.py: USE_MPS not found. Setting to default True
20:57:49:face.py: APPDIR: /app/preinstalled-modules/FaceProcessing/intelligencelayer
20:57:49:face.py: PROFILE: desktop_cpu
20:57:49:face.py: USE_CUDA: False
20:57:49:face.py: DATA_DIR: /etc/codeproject/ai
20:57:49:face.py: MODELS_DIR: /app/preinstalled-modules/FaceProcessing/assets
20:57:49:face.py: MODE: MEDIUM
20:57:49:Running init for Face Processing
20:57:49:Face Processing: Face Processing started.
```
20:57:22:face.py: /usr/local/lib/python3.8/dist-packages/torch/cuda/__init__.py:88: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:109.)
20:57:22:face.py: return torch._C._cuda_getDeviceCount() > 0
```
Module 'Face Processing' 1.8.1 (ID: FaceProcessing)
Module Path: <root>/preinstalled-modules/FaceProcessing
AutoStart: True
Queue: faceprocessing_queue
Platforms: windows,linux,linux-arm64,macos,macos-arm64
GPU Libraries: installed if available
GPU Enabled: enabled
Parallelism: 0
Accelerator:
Half Precis.: enable
Runtime: python3.8
Runtime Loc: Shared
FilePath: intelligencelayer/face.py
Pre installed: True
Start pause: 3 sec
LogVerbosity:
Valid: True
Environment Variables
APPDIR = <root>/preinstalled-modules/FaceProcessing/intelligencelayer
DATA_DIR = /etc/codeproject/ai
MODE = MEDIUM
MODELS_DIR = <root>/preinstalled-modules/FaceProcessing/assets
PROFILE = desktop_gpu
USE_CUDA = True
YOLOv5_AUTOINSTALL = false
YOLOv5_VERBOSE = false
Started: 28 Nov 2023 3:04:14 AM Coordinated Universal Time
LastSeen: 28 Nov 2023 3:06:07 AM Coordinated Universal Time
Status: Started
Processed: 0
Provider:
CanUseGPU: False
HardwareType: CPU
```
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Thanks very much for that. Could you please run the nvidia-smi command and then the nvcc --version command and let me know what it shows?
Thanks,
Sean Ewington
CodeProject
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Sorry, apparently I'm not getting notifications like I should. Ill get this done and share the results.
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+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 545.23.06 Driver Version: 545.23.06 CUDA Version: 12.3 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA GeForce GTX 1660 ... On | 00000000:04:00.0 Off | N/A |
| 21% 28C P8 11W / 125W | 1MiB / 6144MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| No running processes found |
+---------------------------------------------------------------------------------------+
root@frigate:~# nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Fri_Sep__8_19:17:24_PDT_2023
Cuda compilation tools, release 12.3, V12.3.52
Build cuda_12.3.r12.3/compiler.33281558_0
Transparency: Realized I apparently didn't have nvcc setup. I've been missing this step. Ill try again. But which gpu enabled image is the latest 234? Thanks
modified 13-Dec-23 19:05pm.
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You want this guy:
docker pull codeproject/ai-server:cuda12_2
Thanks,
Sean Ewington
CodeProject
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Thanks for that!! Also, here is some extra logs before you recommended the 12_2
01:49:05:Module 'Face Processing' 1.8.1 (ID: FaceProcessing)
01:49:05:Module Path: /app/preinstalled-modules/FaceProcessing
01:49:05:AutoStart: True
01:49:05:Queue: faceprocessing_queue
01:49:05:Platforms: windows,linux,linux-arm64,macos,macos-arm64
01:49:05:GPU Libraries: installed if available
01:49:05:Command: python3.8
01:49:05:Starting python3.8 "/app.../FaceProcessing/intelligencelayer/face.py"
01:49:05:
01:49:05:Attempting to start FaceProcessing with python3.8 "/app/preinstalled-modules/FaceProcessing/intelligencelayer/face.py"
01:49:05:GPU Enabled: enabled
01:49:05:Parallelism: 0
01:49:05:Accelerator:
01:49:05:Half Precis.: enable
01:49:05:Runtime: python3.8
01:49:05:Runtime Loc: Shared
01:49:05:FilePath: intelligencelayer\face.py
01:49:05:Pre installed: True
01:49:05:Start pause: 3 sec
01:49:05:LogVerbosity:
01:49:05:Valid: True
01:49:05:Environment Variables
01:49:05:APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
01:49:05:DATA_DIR = %DATA_DIR%
01:49:05:MODE = MEDIUM
01:49:05:MODELS_DIR = %CURRENT_MODULE_PATH%\assets
01:49:05:PROFILE = desktop_gpu
01:49:05:USE_CUDA = True
01:49:05:YOLOv5_AUTOINSTALL = false
01:49:05:YOLOv5_VERBOSE = false
01:49:05:CPAI_HALF_PRECISION = force
01:49:05:
01:49:05:Started Face Processing module
01:49:08:face.py: Vision AI services setup: Retrieving environment variables...
01:49:08:Running init for Face Processing
01:49:08:face.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
01:49:08:face.py: USE_MPS not found. Setting to default True
01:49:08:face.py: APPDIR: /app/preinstalled-modules/FaceProcessing/intelligencelayer
01:49:08:face.py: PROFILE: desktop_cpu
01:49:08:face.py: USE_CUDA: False
01:49:08:face.py: DATA_DIR: /etc/codeproject/ai
01:49:08:face.py: MODELS_DIR: /app/preinstalled-modules/FaceProcessing/assets
01:49:08:face.py: MODE: MEDIUM
01:49:08:Face Processing: Face Processing started.
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Getting more of the same after switching the image.
ran docker ps to get list to show I was using the right one
23ceba4e0a5 codeproject/ai-server:cuda12_2 "./CodeProject.AI.Se…" 9 minutes ago Up 3 minutes 5000/tcp, 0.0.0.0:32168->32168/tcp, :::32168->32168/tcp
Also, did you know the that 12_2 still shows as version 2.3.2-Alpha?
modified 15-Dec-23 17:16pm.
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Dear team!
I'm having systematic error during installation on a Windows 10 OS. Cuda 11.8. CodeProject 3.2.4 but also tested with older releases.
Particularity: PROXMOX VM with GPU GTX1070 passthrough. (should not be a problem anyway)
GPU is well recognized and working fine under Windows.
Also last week I've installed the same CodeProject inside an UBUNTU VM/GPU Passthrough and everything was working fine, CodeProject was excellent in recognition using the GPU mode.
But I want to put BLUEIRIS + CodeProject to be on the same system: so on WINDOWS.... (BI exists only on Windows)
I've uninstalled, reinstalled many times, I've tested with CUDA 12.2 then 11.8, same problem.
detect_adapter.py: ImportError: DLL load failed: The specified module could not be found.
Then CodeProject is accepting only the CPU mode and not the GPU one on Windows.
(althought the same configuration with UBUNTU VM is working fine and GPU is working well)
Here is the full log during installation. It's weird.
Could you please help me? How to solve? What to test?
I'm ready to provide every log/or make specific test.
Thank you all!
Bye
15:53:00:System: Windows
15:53:00:Operating System: Windows (Microsoft Windows 10.0.19044)
15:53:00:CPUs: QEMU Virtual CPU version 2.5+
15:53:00: 2 CPUs x 4 cores. 4 logical processors (x64)
15:53:00:GPU: NVIDIA GeForce GTX 1070 (8 GiB) (NVIDIA)
15:53:00: Driver: 536.23 CUDA: 11.8.89 (max supported: 12.2) Compute: 6.1
15:53:00:System RAM: 8 GiB
15:53:00:Target: Windows
15:53:00:BuildConfig: Release
15:53:00:Execution Env: Native
15:53:00:Runtime Env: Production
15:53:00:.NET framework: .NET 7.0.10
15:53:00:App DataDir: C:\ProgramData\CodeProject\AI
15:53:00:Video adapter info:
15:53:00: NVIDIA GeForce GTX 1070:
15:53:00: Driver Version 31.0.15.3623
15:53:00: Video Processor NVIDIA GeForce GTX 1070
15:53:00: Microsoft Basic Display Adapter:
15:53:00: Driver Version 10.0.19041.868
15:53:00: Video Processor SeaBIOS VBE(C) 2011
15:53:00:STARTING CODEPROJECT.AI SERVER
15:53:00:RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
15:53:00:PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
15:53:00:MODULES_PATH = C:\Program Files\CodeProject\AI\modules
15:53:00:PYTHON_PATH = \bin\windows\%PYTHON_DIRECTORY%\venv\Scripts\python
15:53:00:Data Dir = C:\ProgramData\CodeProject\AI
15:53:00:Server version: 2.3.4-Beta
15:53:03:Setting up initial modules. Please be patient...
15:53:03:Installing initial module FaceProcessing.
15:53:03:Preparing to install module 'FaceProcessing'
15:53:03:Downloading module 'FaceProcessing'
15:53:04:Installing module 'FaceProcessing'
15:53:04:FaceProcessing: Installing CodeProject.AI Analysis Module
15:53:04:FaceProcessing: ========================================================================
15:53:04:FaceProcessing: CodeProject.AI Installer
15:53:04:FaceProcessing: ========================================================================
15:53:04:FaceProcessing: General CodeProject.AI setup
15:53:04:FaceProcessing: Creating Directories...Done
15:53:04:FaceProcessing: GPU support
15:53:04:FaceProcessing: CUDA Present...Yes (version 11.8)
15:53:05:FaceProcessing: ROCm Present...False
15:53:05:FaceProcessing: Installing module FaceProcessing 1.8.1
15:53:05:FaceProcessing: Installing Python 3.7
15:53:05:Server: This is the latest version
15:53:11:FaceProcessing: Downloading Python 3.7 interpreter...Expanding...Done.
15:53:25:FaceProcessing: Creating Virtual Environment (Shared)...Done
15:53:25:FaceProcessing: Confirming we have Python 3.7 in our virtual environment...present
15:53:48:FaceProcessing: Downloading YOLO models...Expanding...Done.
15:53:50:FaceProcessing: Copying contents of models.zip to assets...done
15:53:50:FaceProcessing: Cleaning up...done
15:53:50:FaceProcessing: Installing Python packages for FaceProcessing
15:53:50:FaceProcessing: [0;Installing GPU-enabled libraries: If available
15:53:54:FaceProcessing: Ensuring Python package manager (pip) is installed...Done
15:54:07:FaceProcessing: Ensuring Python package manager (pip) is up to date...Done
15:54:07:FaceProcessing: Python packages specified by requirements.windows.cuda.txt
15:54:09:FaceProcessing: - Installing urllib3, the HTTP client for Python...(✔️ checked) Done
15:54:31:FaceProcessing: - Installing Pandas, a data analysis / data manipulation tool...(✔️ checked) Done
15:55:05:FaceProcessing: - Installing CoreMLTools, for working with .mlmodel format models...(✔️ checked) Done
15:55:15:FaceProcessing: - Installing OpenCV, the Open source Computer Vision library...(✔️ checked) Done
15:55:18:FaceProcessing: - Installing Pillow, a Python Image Library...(✔️ checked) Done
15:55:36:FaceProcessing: - Installing SciPy, a library for mathematics, science, and engineering...(✔️ checked) Done
15:55:36:FaceProcessing: - Installing PyYAML, a library for reading configuration files...Already installed
15:57:38:FaceProcessing: - Installing PyTorch, an open source machine learning framework...(✔️ checked) Done
15:59:28:FaceProcessing: - Installing TorchVision, for working with computer vision models...(✔️ checked) Done
16:00:04:FaceProcessing: - Installing Seaborn, a data visualization library based on matplotlib...(✔️ checked) Done
16:00:04:FaceProcessing: Installing Python packages for the CodeProject.AI Server SDK
16:00:05:FaceProcessing: Ensuring Python package manager (pip) is installed...Done
16:00:07:FaceProcessing: Ensuring Python package manager (pip) is up to date...Done
16:00:07:FaceProcessing: Python packages specified by requirements.txt
16:00:08:FaceProcessing: - Installing Pillow, a Python Image Library...Already installed
16:00:09:FaceProcessing: - Installing Charset normalizer...Already installed
16:00:14:FaceProcessing: - Installing aiohttp, the Async IO HTTP library...(✔️ checked) Done
16:00:16:FaceProcessing: - Installing aiofiles, the Async IO Files library...(✔️ checked) Done
16:00:18:FaceProcessing: - Installing py-cpuinfo to allow us to query CPU info...(✔️ checked) Done
16:00:19:FaceProcessing: - Installing Requests, the HTTP library...Already installed
16:00:19:FaceProcessing: Setup complete
16:00:19:Module FaceProcessing installed successfully.
16:00:19:
16:00:19:Module 'Face Processing' 1.8.1 (ID: FaceProcessing)
16:00:19:Module Path: C:\Program Files\CodeProject\AI\modules\FaceProcessing
16:00:19:AutoStart: True
16:00:19:Queue: faceprocessing_queue
16:00:19:Platforms: windows,linux,linux-arm64,macos,macos-arm64
16:00:19:GPU Libraries: installed if available
16:00:19:GPU Enabled: enabled
16:00:19:Parallelism: 0
16:00:19:Accelerator:
16:00:19:Half Precis.: enable
16:00:19:Runtime: python3.7
16:00:19:Runtime Loc: Shared
16:00:19:FilePath: intelligencelayer\face.py
16:00:19:Pre installed: False
16:00:19:Start pause: 3 sec
16:00:19:LogVerbosity:
16:00:19:Valid: True
16:00:19:Environment Variables
16:00:19:APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
16:00:19:DATA_DIR = %DATA_DIR%
16:00:19:MODE = MEDIUM
16:00:19:MODELS_DIR = %CURRENT_MODULE_PATH%\assets
16:00:19:PROFILE = desktop_gpu
16:00:19:USE_CUDA = True
16:00:19:YOLOv5_AUTOINSTALL = false
16:00:19:YOLOv5_VERBOSE = false
16:00:19:
16:00:19:Started Face Processing module
16:00:19:Installer exited with code 0
16:00:19:Installing initial module ObjectDetectionNet.
16:00:19:Preparing to install module 'ObjectDetectionNet'
16:00:19:Downloading module 'ObjectDetectionNet'
16:00:20:Installing module 'ObjectDetectionNet'
16:00:20:ObjectDetectionNet: Installing CodeProject.AI Analysis Module
16:00:20:ObjectDetectionNet: ========================================================================
16:00:20:ObjectDetectionNet: CodeProject.AI Installer
16:00:20:ObjectDetectionNet: ========================================================================
16:00:20:ObjectDetectionNet: General CodeProject.AI setup
16:00:20:ObjectDetectionNet: Creating Directories...Done
16:00:20:ObjectDetectionNet: GPU support
16:00:20:ObjectDetectionNet: CUDA Present...Yes (version 11.8)
16:00:20:ObjectDetectionNet: ROCm Present...False
16:00:20:ObjectDetectionNet: Installing module ObjectDetectionNet 1.7.1
16:00:22:Module FaceProcessing started successfully.
16:00:24:face.py: GPU in use: NVIDIA GeForce GTX 1070
16:00:24:face.py: Traceback (most recent call last):
16:00:24:face.py: File "C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer\face.py", line 41, in
16:00:24:face.py: from process import YOLODetector
16:00:24:face.py: File "C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer\.\process.py", line 2, in
16:00:24:face.py: import cv2
16:00:24:face.py: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\cv2\__init__.py", line 181, in
16:00:24:face.py: bootstrap()
16:00:24:face.py: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\cv2\__init__.py", line 153, in bootstrap
16:00:24:face.py: native_module = importlib.import_module("cv2")
16:00:24:face.py: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\lib\importlib\__init__.py", line 127, in import_module
16:00:24:face.py: return _bootstrap._gcd_import(name[level:], package, level)
16:00:24:face.py: ImportError: DLL load failed: The specified module could not be found.
16:00:24:Module FaceProcessing has shutdown
16:00:24:face.py: has exited
16:00:30:ObjectDetectionNet: Downloading ObjectDetectionNet-DirectML-1.7.1.zip...Expanding...Done.
16:00:31:ObjectDetectionNet: Copying contents of ObjectDetectionNet-DirectML-1.7.1.zip to ...done
16:00:31:ObjectDetectionNet: Cleaning up...done
16:00:41:ObjectDetectionNet: Downloading YOLO ONNX models...Expanding...Done.
16:00:42:ObjectDetectionNet: Copying contents of yolonet-models.zip to assets...done
16:00:42:ObjectDetectionNet: Cleaning up...done
16:00:52:ObjectDetectionNet: Downloading Custom YOLO ONNX models...Expanding...Done.
16:00:52:ObjectDetectionNet: Copying contents of yolonet-custom-models.zip to custom-models...done
16:00:52:ObjectDetectionNet: Cleaning up...done
16:00:52:ObjectDetectionNet: Setup complete
16:00:52:Module ObjectDetectionNet installed successfully.
16:00:52:Module ObjectDetectionNet not configured to AutoStart.
16:00:52:Installer exited with code 0
16:00:52:Installing initial module ObjectDetectionYolo.
16:00:52:Preparing to install module 'ObjectDetectionYolo'
16:00:52:Downloading module 'ObjectDetectionYolo'
16:00:52:Installing module 'ObjectDetectionYolo'
16:00:54:ObjectDetectionYolo: Installing CodeProject.AI Analysis Module
16:00:54:ObjectDetectionYolo: ========================================================================
16:00:54:ObjectDetectionYolo: CodeProject.AI Installer
16:00:54:ObjectDetectionYolo: ========================================================================
16:00:54:ObjectDetectionYolo: General CodeProject.AI setup
16:00:54:ObjectDetectionYolo: Creating Directories...Done
16:00:54:ObjectDetectionYolo: GPU support
16:00:54:ObjectDetectionYolo: CUDA Present...Yes (version 11.8)
16:00:54:ObjectDetectionYolo: ROCm Present...False
16:00:54:ObjectDetectionYolo: Installing module ObjectDetectionYolo 1.7.1
16:00:54:ObjectDetectionYolo: Installing Python 3.7
16:00:54:ObjectDetectionYolo: Python 3.7 is already installed
16:00:54:ObjectDetectionYolo: Creating Virtual Environment (Shared)...Virtual Environment already present
16:00:55:ObjectDetectionYolo: Confirming we have Python 3.7 in our virtual environment...present
16:01:01:ObjectDetectionYolo: Downloading Standard YOLO models...Expanding...Done.
16:01:01:ObjectDetectionYolo: Copying contents of models-yolo5-pt.zip to assets...done
16:01:01:ObjectDetectionYolo: Cleaning up...done
16:01:11:ObjectDetectionYolo: Downloading Custom YOLO models...Expanding...Done.
16:01:11:ObjectDetectionYolo: Copying contents of custom-models-yolo5-pt.zip to custom-models...done
16:01:11:ObjectDetectionYolo: Cleaning up...done
16:01:11:ObjectDetectionYolo: Installing Python packages for ObjectDetectionYolo
16:01:11:ObjectDetectionYolo: [0;Installing GPU-enabled libraries: If available
16:01:13:ObjectDetectionYolo: Ensuring Python package manager (pip) is installed...Done
16:01:15:ObjectDetectionYolo: Ensuring Python package manager (pip) is up to date...Done
16:01:15:ObjectDetectionYolo: Python packages specified by requirements.windows.cuda.txt
16:01:16:ObjectDetectionYolo: - Installing Pandas, a data analysis / data manipulation tool...Already installed
16:01:17:ObjectDetectionYolo: - Installing CoreMLTools, for working with .mlmodel format models...Already installed
16:01:18:ObjectDetectionYolo: - Installing OpenCV, the Open source Computer Vision library...Already installed
16:01:18:ObjectDetectionYolo: - Installing Pillow, a Python Image Library...Already installed
16:01:19:ObjectDetectionYolo: - Installing SciPy, a library for mathematics, science, and engineering...Already installed
16:01:20:ObjectDetectionYolo: - Installing PyYAML, a library for reading configuration files...Already installed
16:01:21:ObjectDetectionYolo: - Installing PyTorch, an open source machine learning framework...Already installed
16:01:22:ObjectDetectionYolo: - Installing TorchVision, for working with computer vision models...Already installed
16:03:40:ObjectDetectionYolo: - Installing Ultralytics YoloV5 package for object detection in images...(✔️ checked) Done
16:03:41:ObjectDetectionYolo: - Installing Seaborn, a data visualization library based on matplotlib...Already installed
16:03:41:ObjectDetectionYolo: Installing Python packages for the CodeProject.AI Server SDK
16:03:42:ObjectDetectionYolo: Ensuring Python package manager (pip) is installed...Done
16:03:45:ObjectDetectionYolo: Ensuring Python package manager (pip) is up to date...Done
16:03:45:ObjectDetectionYolo: Python packages specified by requirements.txt
16:03:46:ObjectDetectionYolo: - Installing Pillow, a Python Image Library...Already installed
16:03:47:ObjectDetectionYolo: - Installing Charset normalizer...Already installed
16:03:48:ObjectDetectionYolo: - Installing aiohttp, the Async IO HTTP library...Already installed
16:03:49:ObjectDetectionYolo: - Installing aiofiles, the Async IO Files library...Already installed
16:03:50:ObjectDetectionYolo: - Installing py-cpuinfo to allow us to query CPU info...Already installed
16:03:50:ObjectDetectionYolo: - Installing Requests, the HTTP library...Already installed
16:03:50:ObjectDetectionYolo: Setup complete
16:03:50:Module ObjectDetectionYolo installed successfully.
16:03:50:
16:03:50:Module 'Object Detection (YOLOv5 6.2)' 1.7.1 (ID: ObjectDetectionYolo)
16:03:50:Module Path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
16:03:50:AutoStart: True
16:03:50:Queue: objectdetection_queue
16:03:50:Platforms: all
16:03:50:GPU Libraries: installed if available
16:03:50:GPU Enabled: enabled
16:03:50:Parallelism: 0
16:03:50:Accelerator:
16:03:50:Half Precis.: enable
16:03:50:Runtime: python3.7
16:03:50:Runtime Loc: Shared
16:03:50:FilePath: detect_adapter.py
16:03:50:Pre installed: False
16:03:50:Start pause: 1 sec
16:03:50:LogVerbosity:
16:03:50:Valid: True
16:03:50:Environment Variables
16:03:50:APPDIR = %CURRENT_MODULE_PATH%
16:03:50:CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%/custom-models
16:03:50:MODELS_DIR = %CURRENT_MODULE_PATH%/assets
16:03:50:MODEL_SIZE = Medium
16:03:50:USE_CUDA = True
16:03:50:YOLOv5_AUTOINSTALL = false
16:03:50:YOLOv5_VERBOSE = false
16:03:50:
16:03:50:Started Object Detection (YOLOv5 6.2) module
16:03:50:Installer exited with code 0
16:03:51:Module ObjectDetectionYolo started successfully.
16:03:52:detect_adapter.py: Traceback (most recent call last):
16:03:52:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect_adapter.py", line 20, in
16:03:52:detect_adapter.py: from detect import do_detection
16:03:52:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\detect.py", line 8, in
16:03:52:detect_adapter.py: from yolov5.models.common import DetectMultiBackend, AutoShape
16:03:52:detect_adapter.py: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\__init__.py", line 1, in
16:03:52:detect_adapter.py: from yolov5.helpers import YOLOv5
16:03:52:detect_adapter.py: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\helpers.py", line 3, in
16:03:52:detect_adapter.py: from yolov5.models.common import AutoShape, DetectMultiBackend
16:03:52:detect_adapter.py: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 18, in
16:03:52:detect_adapter.py: import cv2
16:03:52:detect_adapter.py: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\cv2\__init__.py", line 181, in
16:03:52:detect_adapter.py: bootstrap()
16:03:52:detect_adapter.py: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\cv2\__init__.py", line 153, in bootstrap
16:03:52:detect_adapter.py: native_module = importlib.import_module("cv2")
16:03:52:detect_adapter.py: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\lib\importlib\__init__.py", line 127, in import_module
16:03:52:detect_adapter.py: return _bootstrap._gcd_import(name[level:], package, level)
16:03:52:detect_adapter.py: ImportError: DLL load failed: The specified module could not be found.
16:03:52:Module ObjectDetectionYolo has shutdown
16:03:52:detect_adapter.py: has exited
modified 9-Nov-23 10:37am.
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Today I've tested also with 1050Ti card on Ubuntu: it's working fine, as with my GTX1070.
Please any tips about how to solve? import CV2 seems to be the problem, how to force a python lib update using venv on CodeProject??
And I've tested with the WINDOWS as problem remains the same with 1050Ti:
detect_adapter.py: ImportError: DLL load failed: The specified module could not be found.
Any help please ???
modified 15-Nov-23 4:26am.
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Chris, Mike & others: any help please?!
this is the first time I have such problem, it seems that python lib or DLL is not correctly loaded but what's the best approach to solve this problem?
Thanks for your help and tips!
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Your setup is a little outside the scope of what we support but there's clearly an OpenCV installation or path issue going on.
Could I suggest you switch from using the ObjectDetectionYOLO module to the ObjectDetectionNet module and see if that helps?
cheers
Chris Maunder
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So it doesnt jump to requirements.windows.cuda.txt...
I see the changes in setup bat from 2.2.4.
:: Report on GPU ability
:: GPU / CPU support ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
call "!sdkScriptsDirPath!\utils.bat" WriteLine "GPU support" "White" "Blue" !lineWidth!
call "!sdkScriptsDirPath!\utils.bat" WriteLine ""
REM Test for CUDA drivers
call "!sdkScriptsDirPath!\utils.bat" Write "CUDA Present..."
set hasCUDA=false
I changed to:
set hasCUDA=true
and the correct requirements were used. I have not perused utils.bat for why it is reporting no cuda.
nvsmi path...
C:\Program Files\NVIDIA Corporation\NVSMI
BTW, the error was "not enough memory"...
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When installing CUDA did you do a full install?
The issue is nvcc is not installed. Open a command prompt and see if you get the below screenshot when executing nvcc --version.
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It's all working.
Server version: 2.3.4-Beta
System: Windows
Operating System: Windows (Microsoft Windows 6.1.7601 Service Pack 1)
CPUs: Intel(R) Core(TM) i7-6850K CPU @ 3.60GHz (Intel)
1 CPU x 6 cores. 12 logical processors (x64)
GPU: NVIDIA GeForce RTX 3060 (12 GiB) (NVIDIA)
Driver: 474.11 CUDA: 11.4.48 (max supported: 11.4) Compute:
System RAM: 48 GiB
Target: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.5
Video adapter info:
NVIDIA GeForce RTX 3060:
Driver Version 30.0.14.7411
Video Processor NVIDIA GeForce RTX 3060
System GPU info:
GPU 3D Usage 3%
GPU RAM Usage 11.8 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
It did not see my cuda install and went to default requirements.txt and tossed "not enough memory" error until I bypassed that check.
A bit of log trace right after loading CP.AI server. Everything functioning great now.
19:50:15:Started Object Detection (YOLOv5 6.2) module
19:50:16:face.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
19:50:16:face.py: Vision AI services setup: Retrieving environment variables...
19:50:16:face.py: USE_MPS not found. Setting to default True
19:50:16:face.py: GPU in use: NVIDIA GeForce RTX 3060
19:50:16:face.py: APPDIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer
19:50:16:face.py: PROFILE: desktop_gpu
19:50:16:face.py: USE_CUDA: True
19:50:16:face.py: DATA_DIR: C:\ProgramData\CodeProject\AI
19:50:16:face.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\assets
19:50:16:face.py: MODE: MEDIUM
19:50:16:Running init for Face Processing
19:50:16:Face Processing: Face Processing started.
19:50:19:detect_adapter.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
19:50:19:detect_adapter.py: APPDIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
19:50:19:detect_adapter.py: MODEL_SIZE: medium
19:50:19:detect_adapter.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\assets
19:50:19:Running init for Object Detection (YOLOv5 6.2)
19:50:19:Object Detection (YOLOv5 6.2): Object Detection (YOLOv5 6.2) started.
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Hi!
Is it possible to use Coral for Face Recognition?
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I have both modules working, using cuda. The python installs are not downloading. so I had to copy over python37 folder from old save 2.2.4. Wondering if that gives me all the correct packages?
Here is the partial log from the last try on install. The whole log is huge on verbose, I would be happy to send some way...
This jumps out: 2023-11-07 13:12:40: FaceProcessing: Not enough memory.
The exceptions on log access jump out also...
Any guidence?
Server version: 2.3.4-Beta
System: Windows
Operating System: Windows (Microsoft Windows 6.1.7601 Service Pack 1)
CPUs: Intel(R) Core(TM) i7-6850K CPU @ 3.60GHz (Intel)
1 CPU x 6 cores. 12 logical processors (x64)
GPU: NVIDIA GeForce RTX 3060 (12 GiB) (NVIDIA)
Driver: 474.11 CUDA: 11.4.48 (max supported: 11.4) Compute:
System RAM: 48 GiB
Target: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.5
Video adapter info:
NVIDIA GeForce RTX 3060:
Driver Version 30.0.14.7411
Video Processor NVIDIA GeForce RTX 3060
System GPU info:
GPU 3D Usage 3%
GPU RAM Usage 11.8 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
2023-11-07 13:12:21: Preparing to install module 'FaceProcessing'
2023-11-07 13:12:21: Downloading module 'FaceProcessing'
2023-11-07 13:12:21: Preparing to install module 'FaceProcessing'
2023-11-07 13:12:21: Downloading module 'FaceProcessing'
2023-11-07 13:12:22: Installing module 'FaceProcessing'
2023-11-07 13:12:22: Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
2023-11-07 13:12:22: FaceProcessing: [0;33m[49m Installing CodeProject.AI Analysis Module [0m
2023-11-07 13:12:22: FaceProcessing: [0;32m[49m========================================================================[0m
2023-11-07 13:12:22: FaceProcessing: [0;32m[49m CodeProject.AI Installer [0m
2023-11-07 13:12:22: FaceProcessing: [0;32m[49m========================================================================[0m
2023-11-07 13:12:22: FaceProcessing: [0;37m[49msetupMode = InstallModule[0m
2023-11-07 13:12:22: FaceProcessing: [0;37m[49mexecutionEnvironment = Production[0m
2023-11-07 13:12:22: FaceProcessing: [0;37m[49minstallerScriptsPath = C:\Program Files\CodeProject\AI\[0m
2023-11-07 13:12:22: FaceProcessing: [0;37m[49msdkScriptsDirPath = C:\Program Files\CodeProject\AI\SDK\Scripts[0m
2023-11-07 13:12:22: FaceProcessing: [0;37m[49mabsoluteAppRootDir = C:\Program Files\CodeProject\AI\[0m
2023-11-07 13:12:22: FaceProcessing: [0;37m[49mruntimesDirPath = C:\Program Files\CodeProject\AI\runtimes[0m
2023-11-07 13:12:22: FaceProcessing: [0;37m[49mmodulesDirPath = C:\Program Files\CodeProject\AI\modules[0m
2023-11-07 13:12:22: FaceProcessing: [0;37m[49mdownloadDirPath = C:\Program Files\CodeProject\AI\downloads[0m
2023-11-07 13:12:22: FaceProcessing: [0;97m[104mGeneral CodeProject.AI setup [0m
2023-11-07 13:12:22: Installing module 'FaceProcessing'
2023-11-07 13:12:22: Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
2023-11-07 13:12:22 [System.IO.IOException: The process cannot access the file 'C:\Program Files\CodeProject\AI\modules\FaceProcessing\install.log' because it is being used by another process.
at Microsoft.Win32.SafeHandles.SafeFileHandle.CreateFile(String fullPath, FileMode mode, FileAccess access, FileShare share, FileOptions options)
at Microsoft.Win32.SafeHandles.SafeFileHandle.Open(String fullPath, FileMode mode, FileAccess access, FileShare share, FileOptions options, Int64 preallocationSize, Nullable`1 unixCreateMode)
at System.IO.Strategies.OSFileStreamStrategy..ctor(String path, FileMode mode, FileAccess access, FileShare share, FileOptions options, Int64 preallocationSize, Nullable`1 unixCreateMode)
at System.IO.File.AppendText(String path)
at CodeProject.AI.Server.Modules.ModuleInstaller.InstallModuleAsync(String installPackagePath, String moduleId, LogVerbosity verbosity)
at CodeProject.AI.Server.Modules.ModuleInstaller.DownloadAndInstallModuleAsync(String moduleId, String version, Boolean noCache, LogVerbosity verbosity)
at CodeProject.AI.Server.Controllers.ModuleController.InstallModuleAsync(String moduleId, String version, Boolean noCache, LogVerbosity verbosity)
at lambda_method95(Closure, Object)
at Microsoft.AspNetCore.Mvc.Infrastructure.ActionMethodExecutor.AwaitableObjectResultExecutor.Execute(ActionContext actionContext, IActionResultTypeMapper mapper, ObjectMethodExecutor executor, Object controller, Object[] arguments)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.<invokeactionmethodasync>g__Awaited|12_0(ControllerActionInvoker invoker, ValueTask`1 actionResultValueTask)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.<invokenextactionfilterasync>g__Awaited|10_0(ControllerActionInvoker invoker, Task lastTask, State next, Scope scope, Object state, Boolean isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.Rethrow(ActionExecutedContextSealed context)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.Next(State& next, Scope& scope, Object& state, Boolean& isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.<invokeinnerfilterasync>g__Awaited|13_0(ControllerActionInvoker invoker, Task lastTask, State next, Scope scope, Object state, Boolean isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.<invokefilterpipelineasync>g__Awaited|20_0(ResourceInvoker invoker, Task lastTask, State next, Scope scope, Object state, Boolean isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.<invokeasync>g__Awaited|17_0(ResourceInvoker invoker, Task task, IDisposable scope)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.<invokeasync>g__Awaited|17_0(ResourceInvoker invoker, Task task, IDisposable scope)
at Microsoft.AspNetCore.Routing.EndpointMiddleware.<invoke>g__AwaitRequestTask|6_0(Endpoint endpoint, Task requestTask, ILogger logger)
at Microsoft.AspNetCore.Authorization.AuthorizationMiddleware.Invoke(HttpContext context)
at Microsoft.AspNetCore.Server.Kestrel.Core.Internal.Http.HttpProtocol.ProcessRequests[TContext](IHttpApplication`1 application)]: Connection id "0HMUVQNTJL7FS", Request id "0HMUVQNTJL7FS:000000A1": An unhandled exception was thrown by the application.
2023-11-07 13:12:22: FaceProcessing: [0;39m[49mCreating Directories...[0m[0;92m[49mDone[0m
2023-11-07 13:12:22: FaceProcessing: [0;97m[104mGPU support [0m
2023-11-07 13:12:22: FaceProcessing: [0;39m[49mCUDA Present...[0m[0;33m[49mNo[0m
2023-11-07 13:12:22: FaceProcessing: [0;39m[49mROCm Present...[0m[0;33m[49mFalse[0m
2023-11-07 13:12:22: FaceProcessing: [0;97m[104mVariable Dump [0m
2023-11-07 13:12:22: FaceProcessing: [0;95m[49mmoduleName = FaceProcessing[0m
2023-11-07 13:12:22: FaceProcessing: [0;95m[49mmoduleVersion = 1.8.1[0m
2023-11-07 13:12:22: FaceProcessing: [0;95m[49mruntime = python3.7[0m
2023-11-07 13:12:22: FaceProcessing: [0;95m[49minstallGPU = true[0m
2023-11-07 13:12:22: FaceProcessing: [0;95m[49mpythonLocation = Shared[0m
2023-11-07 13:12:22: FaceProcessing: [0;95m[49mpythonVersion = 3.7[0m
2023-11-07 13:12:22: FaceProcessing: [0;95m[49mvirtualEnvDirPath = C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv[0m
2023-11-07 13:12:22: FaceProcessing: [0;95m[49mvenvPythonCmdPath = C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python.exe[0m
2023-11-07 13:12:22: FaceProcessing: [0;95m[49mpackagesDirPath = C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages[0m
2023-11-07 13:12:22: FaceProcessing: [0;97m[104mInstalling module FaceProcessing 1.8.1 [0m
2023-11-07 13:12:22: FaceProcessing: [0;39m[49mInstalling Python 3.7[0m
2023-11-07 13:12:22: FaceProcessing: [0;95m[49mInstalling python37 in C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37[0m
2023-11-07 13:12:22: FaceProcessing: [0;32m[49mPython 3.7 is already installed[0m
2023-11-07 13:12:22: FaceProcessing: [0;39m[49mCreating Virtual Environment (Shared)...[0m[0;32m[49mVirtual Environment already present[0m
2023-11-07 13:12:23: FaceProcessing: [0;39m[49mConfirming we have Python 3.7 in our virtual environment...[0m
2023-11-07 13:12:23: FaceProcessing: [0;39m[49m-------------------------------------------------------------[0m
2023-11-07 13:12:23: FaceProcessing: [0;91m[49mError: Python not installed[0m
2023-11-07 13:12:23: FaceProcessing: [0;95m[49mDownloading models.zip to C:\Program Files\CodeProject\AI\downloads\FaceProcessing[0m
2023-11-07 13:12:23: FaceProcessing: [0;30m[49mDownloading YOLO models...[0m[0;95m[49mChecking 'C:\Program Files\CodeProject\AI\downloads\FaceProcessing\models.zip'[0m
2023-11-07 13:12:23: FaceProcessing: [0;95m[49malready exists...[0m[0;95m[49mExpanding...[0m[0;95m[49mHeading to C:\Program Files\CodeProject\AI\downloads\FaceProcessing[0m
2023-11-07 13:12:23: FaceProcessing: [0;95m[49mExtracting models.zip[0m
2023-11-07 13:12:31: FaceProcessing: [0;95m[49mTar failed - moving to PowerShell...[0m[0;32m[49mDone.[0m
2023-11-07 13:12:32: FaceProcessing: [0;39m[49mCopying contents of models.zip to assets...[0m[0;32m[49mdone[0m
2023-11-07 13:12:32: FaceProcessing: [0;39m[49mCleaning up...[0m[0;39m[49mCleaning up extracted files[0m
2023-11-07 13:12:32: FaceProcessing: [0;32m[49mdone[0m
2023-11-07 13:12:32: FaceProcessing: [0;39m[49mInstalling Python packages for FaceProcessing[0m
2023-11-07 13:12:32: FaceProcessing: [0;[49mInstalling GPU-enabled libraries: [0m[0;32m[49mIf available[0m
2023-11-07 13:12:33: FaceProcessing: [0;39m[49mEnsuring Python package manager (pip) is installed...[0mLooking in links: c:\Users\Joey\AppData\Local\Temp\tmptse0292i
2023-11-07 13:12:33: FaceProcessing: Requirement already satisfied: setuptools in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (68.0.0)
2023-11-07 13:12:33: FaceProcessing: Requirement already satisfied: pip in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (23.3.1)
2023-11-07 13:12:33: FaceProcessing: [0;32m[49mDone[0m
2023-11-07 13:12:34: FaceProcessing: [0;39m[49mEnsuring Python package manager (pip) is up to date...[0mRequirement already satisfied: setuptools in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (68.0.0)
2023-11-07 13:12:35: FaceProcessing: Requirement already satisfied: pip in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (23.3.1)
2023-11-07 13:12:36: FaceProcessing: [0;32m[49mDone[0m
2023-11-07 13:12:36: FaceProcessing: [0;95m[49mRequirements Search Path is C:\Program Files\CodeProject\AI\modules\FaceProcessing[0m
2023-11-07 13:12:36: FaceProcessing: [0;95m[49mSearching for a suitable requirements.txts file in C:\Program Files\CodeProject\AI\modules\FaceProcessing[0m
2023-11-07 13:12:36: FaceProcessing: [0;95m[49mPython packages specified by requirements.txt[0m
2023-11-07 13:12:36: FaceProcessing: [0;95m[49mChoosing Python packages from C:\Program Files\CodeProject\AI\modules\FaceProcessing\requirements.txt[0m
2023-11-07 13:12:36: FaceProcessing: Not enough memory.
2023-11-07 13:12:36: FaceProcessing: [0;39m[49mInstalling Python packages for the CodeProject.AI Server SDK[0m
2023-11-07 13:12:37: FaceProcessing: [0;39m[49mEnsuring Python package manager (pip) is installed...[0mLooking in links: c:\Users\Joey\AppData\Local\Temp\tmp399821cb
2023-11-07 13:12:37: FaceProcessing: Requirement already satisfied: setuptools in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (68.0.0)
2023-11-07 13:12:37: FaceProcessing: Requirement already satisfied: pip in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (23.3.1)
2023-11-07 13:12:37: FaceProcessing: [0;32m[49mDone[0m
2023-11-07 13:12:38: FaceProcessing: [0;39m[49mEnsuring Python package manager (pip) is up to date...[0mRequirement already satisfied: setuptools in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (68.0.0)
2023-11-07 13:12:39: FaceProcessing: Requirement already satisfied: pip in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (23.3.1)
2023-11-07 13:12:40: FaceProcessing: [0;32m[49mDone[0m
2023-11-07 13:12:40: FaceProcessing: [0;95m[49mRequirements Search Path is C:\Program Files\CodeProject\AI\SDK\Python[0m
2023-11-07 13:12:40: FaceProcessing: [0;95m[49mSearching for a suitable requirements.txts file in C:\Program Files\CodeProject\AI\SDK\Python[0m
2023-11-07 13:12:40: FaceProcessing: [0;95m[49mPython packages specified by requirements.txt[0m
2023-11-07 13:12:40: FaceProcessing: [0;95m[49mChoosing Python packages from C:\Program Files\CodeProject\AI\SDK\Python\requirements.txt[0m
2023-11-07 13:12:40: FaceProcessing: Not enough memory.
2023-11-07 13:12:40: FaceProcessing: [0;97m[42mSetup complete [0m
2023-11-07 13:12:40: Module FaceProcessing installed successfully.
2023-11-07 13:12:40: Command: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python
2023-11-07 13:12:40:
2023-11-07 13:12:40: 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"
2023-11-07 13:12:40: Starting C:\Program Files...ws\python37\venv\Scripts\python "C:\Program Files...ing\intelligencelayer\face.py"
2023-11-07 13:12:40:
2023-11-07 13:12:40: ** Module 'Face Processing' 1.8.1 (ID: FaceProcessing)
2023-11-07 13:12:40: ** Module Path: C:\Program Files\CodeProject\AI\modules\FaceProcessing
2023-11-07 13:12:40: ** AutoStart: True
2023-11-07 13:12:40: ** Queue: faceprocessing_queue
2023-11-07 13:12:40: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-11-07 13:12:40: ** GPU Libraries: installed if available
2023-11-07 13:12:40: ** GPU Enabled: enabled
2023-11-07 13:12:40: ** Parallelism: 0
2023-11-07 13:12:40: ** Accelerator:
2023-11-07 13:12:40: ** Half Precis.: enable
2023-11-07 13:12:40: ** Runtime: python3.7
2023-11-07 13:12:40: ** Runtime Loc: Shared
2023-11-07 13:12:40: ** FilePath: intelligencelayer\face.py
2023-11-07 13:12:40: ** Pre installed: False
2023-11-07 13:12:40: ** Start pause: 3 sec
2023-11-07 13:12:40: ** LogVerbosity:
2023-11-07 13:12:40: ** Valid: True
2023-11-07 13:12:40: ** Environment Variables
2023-11-07 13:12:40: ** APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
2023-11-07 13:12:40: ** DATA_DIR = %DATA_DIR%
2023-11-07 13:12:40: ** MODE = MEDIUM
2023-11-07 13:12:40: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-11-07 13:12:40: ** PROFILE = desktop_gpu
2023-11-07 13:12:40: ** USE_CUDA = True
2023-11-07 13:12:40: ** YOLOv5_AUTOINSTALL = false
2023-11-07 13:12:40: ** YOLOv5_VERBOSE = false
2023-11-07 13:12:40:
2023-11-07 13:12:40: Started Face Processing module
2023-11-07 13:12:40: Installer exited with code 0
2023-11-07 13:12:43: Module FaceProcessing started successfully.
2023-11-07 13:12:44: face.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
2023-11-07 13:12:44: face.py: Vision AI services setup: Retrieving environment variables...
2023-11-07 13:12:44: face.py: USE_MPS not found. Setting to default True
2023-11-07 13:12:44: face.py: GPU in use: NVIDIA GeForce RTX 3060
2023-11-07 13:12:44: face.py: APPDIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer
2023-11-07 13:12:44: face.py: PROFILE: desktop_gpu
2023-11-07 13:12:44: face.py: USE_CUDA: True
2023-11-07 13:12:44: face.py: DATA_DIR: C:\ProgramData\CodeProject\AI
2023-11-07 13:12:44: Running init for Face Processing
2023-11-07 13:12:44: face.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\assets
2023-11-07 13:12:44: face.py: MODE: MEDIUM
2023-11-07 13:12:44: Face Processing: Face Processing started. in Face Processing
2023-11-07 13:12:54: Preparing to install module 'ObjectDetectionYolo'
2023-11-07 13:12:54: Downloading module 'ObjectDetectionYolo'
2023-11-07 13:12:54: Preparing to install module 'ObjectDetectionYolo'
2023-11-07 13:12:54: Downloading module 'ObjectDetectionYolo'
2023-11-07 13:12:54: Installing module 'ObjectDetectionYolo'
2023-11-07 13:12:54: Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
2023-11-07 13:12:54: ObjectDetectionYolo: [0;33m[49m Installing CodeProject.AI Analysis Module [0m
2023-11-07 13:12:54: ObjectDetectionYolo: [0;32m[49m========================================================================[0m
2023-11-07 13:12:54: ObjectDetectionYolo: [0;32m[49m CodeProject.AI Installer [0m
2023-11-07 13:12:54: ObjectDetectionYolo: [0;32m[49m========================================================================[0m
2023-11-07 13:12:54: ObjectDetectionYolo: [0;37m[49msetupMode = InstallModule[0m
2023-11-07 13:12:54: ObjectDetectionYolo: [0;37m[49mexecutionEnvironment = Production[0m
2023-11-07 13:12:54: Installing module 'ObjectDetectionYolo'
2023-11-07 13:12:54: Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
2023-11-07 13:12:55 [System.IO.IOException: The process cannot access the file 'C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\install.log' because it is being used by another process.
at Microsoft.Win32.SafeHandles.SafeFileHandle.CreateFile(String fullPath, FileMode mode, FileAccess access, FileShare share, FileOptions options)
at Microsoft.Win32.SafeHandles.SafeFileHandle.Open(String fullPath, FileMode mode, FileAccess access, FileShare share, FileOptions options, Int64 preallocationSize, Nullable`1 unixCreateMode)
at System.IO.Strategies.OSFileStreamStrategy..ctor(String path, FileMode mode, FileAccess access, FileShare share, FileOptions options, Int64 preallocationSize, Nullable`1 unixCreateMode)
at System.IO.File.AppendText(String path)
at CodeProject.AI.Server.Modules.ModuleInstaller.InstallModuleAsync(String installPackagePath, String moduleId, LogVerbosity verbosity)
at CodeProject.AI.Server.Modules.ModuleInstaller.DownloadAndInstallModuleAsync(String moduleId, String version, Boolean noCache, LogVerbosity verbosity)
at CodeProject.AI.Server.Controllers.ModuleController.InstallModuleAsync(String moduleId, String version, Boolean noCache, LogVerbosity verbosity)
at lambda_method95(Closure, Object)
at Microsoft.AspNetCore.Mvc.Infrastructure.ActionMethodExecutor.AwaitableObjectResultExecutor.Execute(ActionContext actionContext, IActionResultTypeMapper mapper, ObjectMethodExecutor executor, Object controller, Object[] arguments)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.<invokeactionmethodasync>g__Awaited|12_0(ControllerActionInvoker invoker, ValueTask`1 actionResultValueTask)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.<invokenextactionfilterasync>g__Awaited|10_0(ControllerActionInvoker invoker, Task lastTask, State next, Scope scope, Object state, Boolean isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.Rethrow(ActionExecutedContextSealed context)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.Next(State& next, Scope& scope, Object& state, Boolean& isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.<invokeinnerfilterasync>g__Awaited|13_0(ControllerActionInvoker invoker, Task lastTask, State next, Scope scope, Object state, Boolean isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.<invokefilterpipelineasync>g__Awaited|20_0(ResourceInvoker invoker, Task lastTask, State next, Scope scope, Object state, Boolean isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.<invokeasync>g__Awaited|17_0(ResourceInvoker invoker, Task task, IDisposable scope)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.<invokeasync>g__Awaited|17_0(ResourceInvoker invoker, Task task, IDisposable scope)
at Microsoft.AspNetCore.Routing.EndpointMiddleware.<invoke>g__AwaitRequestTask|6_0(Endpoint endpoint, Task requestTask, ILogger logger)
at Microsoft.AspNetCore.Authorization.AuthorizationMiddleware.Invoke(HttpContext context)
at Microsoft.AspNetCore.Server.Kestrel.Core.Internal.Http.HttpProtocol.ProcessRequests[TContext](IHttpApplication`1 application)]: Connection id "0HMUVQNTJL7FS", Request id "0HMUVQNTJL7FS:000000F4": An unhandled exception was thrown by the application.
2023-11-07 13:12:55: ObjectDetectionYolo: [0;37m[49minstallerScriptsPath = C:\Program Files\CodeProject\AI\[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;37m[49msdkScriptsDirPath = C:\Program Files\CodeProject\AI\SDK\Scripts[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;37m[49mabsoluteAppRootDir = C:\Program Files\CodeProject\AI\[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;37m[49mruntimesDirPath = C:\Program Files\CodeProject\AI\runtimes[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;37m[49mmodulesDirPath = C:\Program Files\CodeProject\AI\modules[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;37m[49mdownloadDirPath = C:\Program Files\CodeProject\AI\downloads[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;97m[104mGeneral CodeProject.AI setup [0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;39m[49mCreating Directories...[0m[0;92m[49mDone[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;97m[104mGPU support [0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;39m[49mCUDA Present...[0m[0;33m[49mNo[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;39m[49mROCm Present...[0m[0;33m[49mFalse[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;97m[104mVariable Dump [0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49mmoduleName = ObjectDetectionYolo[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49mmoduleVersion = 1.7.1[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49mruntime = python3.7[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49minstallGPU = true[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49mpythonLocation = Shared[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49mpythonVersion = 3.7[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49mvirtualEnvDirPath = C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49mvenvPythonCmdPath = C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python.exe[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49mpackagesDirPath = C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;97m[104mInstalling module ObjectDetectionYolo 1.7.1 [0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;39m[49mInstalling Python 3.7[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49mInstalling python37 in C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;32m[49mPython 3.7 is already installed[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;39m[49mCreating Virtual Environment (Shared)...[0m[0;32m[49mVirtual Environment already present[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;39m[49mConfirming we have Python 3.7 in our virtual environment...[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;39m[49m-------------------------------------------------------------[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;91m[49mError: Python not installed[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49mDownloading models-yolo5-pt.zip to C:\Program Files\CodeProject\AI\downloads\ObjectDetectionYolo[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;30m[49mDownloading Standard YOLO models...[0m[0;95m[49mChecking 'C:\Program Files\CodeProject\AI\downloads\ObjectDetectionYolo\models-yolo5-pt.zip'[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49malready exists...[0m[0;95m[49mExpanding...[0m[0;95m[49mHeading to C:\Program Files\CodeProject\AI\downloads\ObjectDetectionYolo[0m
2023-11-07 13:12:55: ObjectDetectionYolo: [0;95m[49mExtracting models-yolo5-pt.zip[0m
2023-11-07 13:12:58: ObjectDetectionYolo: [0;95m[49mTar failed - moving to PowerShell...[0m[0;32m[49mDone.[0m
2023-11-07 13:12:58: ObjectDetectionYolo: [0;39m[49mCopying contents of models-yolo5-pt.zip to assets...[0m[0;32m[49mdone[0m
2023-11-07 13:12:58: ObjectDetectionYolo: [0;39m[49mCleaning up...[0m[0;39m[49mCleaning up extracted files[0m
2023-11-07 13:12:58: ObjectDetectionYolo: [0;32m[49mdone[0m
2023-11-07 13:12:58: ObjectDetectionYolo: [0;95m[49mDownloading custom-models-yolo5-pt.zip to C:\Program Files\CodeProject\AI\downloads\ObjectDetectionYolo[0m
2023-11-07 13:12:58: ObjectDetectionYolo: [0;30m[49mDownloading Custom YOLO models...[0m[0;95m[49mChecking 'C:\Program Files\CodeProject\AI\downloads\ObjectDetectionYolo\custom-models-yolo5-pt.zip'[0m
2023-11-07 13:12:58: ObjectDetectionYolo: [0;95m[49malready exists...[0m[0;95m[49mExpanding...[0m[0;95m[49mHeading to C:\Program Files\CodeProject\AI\downloads\ObjectDetectionYolo[0m
2023-11-07 13:12:58: ObjectDetectionYolo: [0;95m[49mExtracting custom-models-yolo5-pt.zip[0m
2023-11-07 13:13:02: ObjectDetectionYolo: [0;95m[49mTar failed - moving to PowerShell...[0m[0;32m[49mDone.[0m
2023-11-07 13:13:02: ObjectDetectionYolo: [0;39m[49mCopying contents of custom-models-yolo5-pt.zip to custom-models...[0m[0;32m[49mdone[0m
2023-11-07 13:13:02: ObjectDetectionYolo: [0;39m[49mCleaning up...[0m[0;39m[49mCleaning up extracted files[0m
2023-11-07 13:13:02: ObjectDetectionYolo: [0;32m[49mdone[0m
2023-11-07 13:13:02: ObjectDetectionYolo: [0;39m[49mInstalling Python packages for ObjectDetectionYolo[0m
2023-11-07 13:13:02: ObjectDetectionYolo: [0;[49mInstalling GPU-enabled libraries: [0m[0;32m[49mIf available[0m
2023-11-07 13:13:03: ObjectDetectionYolo: [0;39m[49mEnsuring Python package manager (pip) is installed...[0mLooking in links: c:\Users\Joey\AppData\Local\Temp\tmpvk6ykxnz
2023-11-07 13:13:03: ObjectDetectionYolo: Requirement already satisfied: setuptools in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (68.0.0)
2023-11-07 13:13:03: ObjectDetectionYolo: Requirement already satisfied: pip in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (23.3.1)
2023-11-07 13:13:04: ObjectDetectionYolo: [0;32m[49mDone[0m
2023-11-07 13:13:04: ObjectDetectionYolo: [0;39m[49mEnsuring Python package manager (pip) is up to date...[0mRequirement already satisfied: setuptools in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (68.0.0)
2023-11-07 13:13:06: ObjectDetectionYolo: Requirement already satisfied: pip in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (23.3.1)
2023-11-07 13:13:06: ObjectDetectionYolo: [0;32m[49mDone[0m
2023-11-07 13:13:06: ObjectDetectionYolo: [0;95m[49mRequirements Search Path is C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo[0m
2023-11-07 13:13:06: ObjectDetectionYolo: [0;95m[49mSearching for a suitable requirements.txts file in C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo[0m
2023-11-07 13:13:06: ObjectDetectionYolo: [0;95m[49mPython packages specified by requirements.txt[0m
2023-11-07 13:13:06: ObjectDetectionYolo: [0;95m[49mChoosing Python packages from C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\requirements.txt[0m
2023-11-07 13:13:06: ObjectDetectionYolo: Not enough memory.
2023-11-07 13:13:06: ObjectDetectionYolo: [0;39m[49mInstalling Python packages for the CodeProject.AI Server SDK[0m
2023-11-07 13:13:07: ObjectDetectionYolo: [0;39m[49mEnsuring Python package manager (pip) is installed...[0mLooking in links: c:\Users\Joey\AppData\Local\Temp\tmp36gxmpt7
2023-11-07 13:13:07: ObjectDetectionYolo: Requirement already satisfied: setuptools in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (68.0.0)
2023-11-07 13:13:07: ObjectDetectionYolo: Requirement already satisfied: pip in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (23.3.1)
2023-11-07 13:13:08: ObjectDetectionYolo: [0;32m[49mDone[0m
2023-11-07 13:13:08: ObjectDetectionYolo: [0;39m[49mEnsuring Python package manager (pip) is up to date...[0mRequirement already satisfied: setuptools in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (68.0.0)
2023-11-07 13:13:09: ObjectDetectionYolo: Requirement already satisfied: pip in c:\program files\codeproject\ai\runtimes\bin\windows\python37\venv\lib\site-packages (23.3.1)
2023-11-07 13:13:10: ObjectDetectionYolo: [0;32m[49mDone[0m
2023-11-07 13:13:10: ObjectDetectionYolo: [0;95m[49mRequirements Search Path is C:\Program Files\CodeProject\AI\SDK\Python[0m
2023-11-07 13:13:10: ObjectDetectionYolo: [0;95m[49mSearching for a suitable requirements.txts file in C:\Program Files\CodeProject\AI\SDK\Python[0m
2023-11-07 13:13:10: ObjectDetectionYolo: [0;95m[49mPython packages specified by requirements.txt[0m
2023-11-07 13:13:10: ObjectDetectionYolo: [0;95m[49mChoosing Python packages from C:\Program Files\CodeProject\AI\SDK\Python\requirements.txt[0m
2023-11-07 13:13:10: ObjectDetectionYolo: Not enough memory.
2023-11-07 13:13:10: ObjectDetectionYolo: [0;97m[42mSetup complete [0m
2023-11-07 13:13:10: Module ObjectDetectionYolo installed successfully.
2023-11-07 13:13:10: Command: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python
2023-11-07 13:13:10:
2023-11-07 13:13:10: 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"
2023-11-07 13:13:10: Starting C:\Program Files...ws\python37\venv\Scripts\python "C:\Program Files...tectionYolo\detect_adapter.py"
2023-11-07 13:13:10:
2023-11-07 13:13:10: ** Module 'Object Detection (YOLOv5 6.2)' 1.7.1 (ID: ObjectDetectionYolo)
2023-11-07 13:13:10: ** Module Path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
2023-11-07 13:13:10: ** AutoStart: True
2023-11-07 13:13:10: ** Queue: objectdetection_queue
2023-11-07 13:13:10: ** Platforms: all
2023-11-07 13:13:10: ** GPU Libraries: installed if available
2023-11-07 13:13:10: ** GPU Enabled: enabled
2023-11-07 13:13:10: ** Parallelism: 0
2023-11-07 13:13:10: ** Accelerator:
2023-11-07 13:13:10: ** Half Precis.: enable
2023-11-07 13:13:10: ** Runtime: python3.7
2023-11-07 13:13:10: ** Runtime Loc: Shared
2023-11-07 13:13:10: ** FilePath: detect_adapter.py
2023-11-07 13:13:10: ** Pre installed: False
2023-11-07 13:13:10: ** Start pause: 1 sec
2023-11-07 13:13:10: ** LogVerbosity:
2023-11-07 13:13:10: ** Valid: True
2023-11-07 13:13:10: ** Environment Variables
2023-11-07 13:13:10: ** APPDIR = %CURRENT_MODULE_PATH%
2023-11-07 13:13:10: ** CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%/custom-models
2023-11-07 13:13:10: ** MODELS_DIR = %CURRENT_MODULE_PATH%/assets
2023-11-07 13:13:10: ** MODEL_SIZE = Medium
2023-11-07 13:13:10: ** USE_CUDA = True
2023-11-07 13:13:10: ** YOLOv5_AUTOINSTALL = false
2023-11-07 13:13:10: ** YOLOv5_VERBOSE = false
2023-11-07 13:13:10:
2023-11-07 13:13:10: Started Object Detection (YOLOv5 6.2) module
2023-11-07 13:13:10: Installer exited with code 0
2023-11-07 13:13:11: Module ObjectDetectionYolo started successfully.
2023-11-07 13:13:15: detect_adapter.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
2023-11-07 13:13:15: detect_adapter.py: APPDIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
2023-11-07 13:13:15: detect_adapter.py: MODEL_SIZE: medium
2023-11-07 13:13:15: detect_adapter.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\assets
2023-11-07 13:13:15: Running init for Object Detection (YOLOv5 6.2)
2023-11-07 13:13:15: Object Detection (YOLOv5 6.2): Object Detection (YOLOv5 6.2) started. in Object Detection (YOLOv5 6.2)
modified 7-Nov-23 16:45pm.
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