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Thank you very much for your solution.
I have started repositioning cams where I can get the overlap and ordered more cams as needed.
Wow 5.3.9.15 brings back memories, the last version where the Traffic Light worked properly. After 5.3.9.15 we had to re-write our Ademco/EyesON Interface and add an Alert system to handle outbound e-mail-sms Alerts & Video clips outside of Bi. Now I will add code to look at the Bi Alert folder for overlap events and only send one alert event.....
Thank you again .... for responding....
Essaf & Cj
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Hi,
I have asked earlier about LPR on CPU, won't use GPU (cuda) not even the option (cog) available.
Face & object Yolo is fine & both GPU (Cuda)
Reading so many with similar problems not expecting much luck so thought try more myself but cannot anywhere to download older modules.
I have since tried many uninstalls, difference cuda, now on 11.7, I think everything mentioned elsewhere.
I think is was the getcuda in utils.bat, changed the text.
Would be good to try perhaps older CodeprojectAI, are these available, am I missing something as cannot see any legacy.
Really want to get this working as object on cuda is so fast & a speedy LPR would be great, almost a deal breaker if not & may stick to my older plate recognizer setup.
thanks I/A
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ALPR definitely uses GPU. I would try the latest pre-release (2.4.5) just to be sure you have the latest fixes
cheers
Chris Maunder
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Thanks for your reply,
I did try 2.4.5 but actually would not let me install the LPR module at all!
just said failed, don't worry about that.
I had uninstalled previous CPAI but not the cuda etc. perhaps needed a really full clean install
Anyway back to previous and can at least install LPR & it works, just not cuda.
I am going to try & investigate ..
paddle install, seems installed OK but as face & object is GPU Cuda OK looking for things unique to LPR
The other thing & again as Object & Face OK not sure if likely to be relevant
Visual studio, not sure how to install separate with the extension necessary, so far just let the normal install handle that.
github lists as python code, visual studio not clear with ref. to CPAI
Is there something I can try ref.
1) paddle - for 11.8 - all seemed OK using below
python -m pip install paddlepaddle-gpu==2.5.2 -i https://mirror.baidu.com/pypi/simple
>>> import paddle
>>> paddle.utils.run_check()
Running verify PaddlePaddle program ...
I1219 08:09:34.013252 6960 interpretercore.cc:237] New Executor is Running.
W1219 08:09:34.016249 6960 gpu_resources.cc:96] The GPU architecture in your current machine is Pascal, which is not compatible with Paddle installation with arch: 70 75 80 86 , it is recommended to install the corresponding wheel package according to the installation information on the official Paddle website.
W1219 08:09:34.016249 6960 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 11.8, Runtime API Version: 11.8
W1219 08:09:34.024252 6960 gpu_resources.cc:149] device: 0, cuDNN Version: 8.9.
I1219 08:09:36.909252 6960 interpreter_util.cc:518] Standalone Executor is Used.
PaddlePaddle works well on 1 GPU.
PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.
2) Visual Studio,
Not sure where to start?
Any ideas?
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Hi,
Thanks for your reply, uninstalled & done a fresh install
ANPR does work but just CPU, Object is super fast on the GPU (Cuda) & would be great to LPR
Did see this at the end,
CPAI_MODULE_REQUIRED_MB not found
<pre>Server version: 2.3.4-Beta
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz (Intel)
1 CPU x 4 cores. 8 logical processors (x64)
GPU: NVIDIA GeForce GTX 1050 Ti (4 GiB) (NVIDIA)
Driver: 522.06 CUDA: 11.8.89 (max supported: 11.8) Compute: 6.1
System RAM: 16 GiB
Target: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.10
Video adapter info:
NVIDIA GeForce GTX 1050 Ti:
Driver Version 31.0.15.2206
Video Processor NVIDIA GeForce GTX 1050 Ti
Intel(R) HD Graphics 4600:
Driver Version 20.19.15.5126
Video Processor Intel(R) HD Graphics Family
System GPU info:
GPU 3D Usage 1%
GPU RAM Usage 709 MiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
14:55:38:Preparing to install module 'ALPR'
14:55:38:Downloading module 'ALPR'
14:55:39:Installing module 'ALPR'
14:55:39:Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
14:55:39:ALPR: Installing CodeProject.AI Analysis Module
14:55:39:ALPR: ========================================================================
14:55:39:ALPR: CodeProject.AI Installer
14:55:39:ALPR: ========================================================================
14:55:39:ALPR: General CodeProject.AI setup
14:55:39:ALPR: Creating Directories...Done
14:55:39:ALPR: GPU support
14:55:40:ALPR: CUDA Present...Yes (version 11.8)
14:55:40:ALPR: ROCm Present...False
14:55:41:ALPR: Installing module ALPR 2.7.2
14:55:41:ALPR: Installing Python 3.7
14:55:41:ALPR: Python 3.7 is already installed
14:55:51:ALPR: Creating Virtual Environment (Local)...Done
14:55:51:ALPR: Confirming we have Python 3.7 in our virtual environment...present
14:55:51:ALPR: Downloading ALPR models...already exists...Expanding...Done.
14:55:51:ALPR: Copying contents of paddleocr-models.zip to paddleocr...done
14:55:51:ALPR: Cleaning up...done
14:55:51:ALPR: Installing Python packages for ALPR
14:55:51:ALPR: [0;Installing GPU-enabled libraries: If available
14:55:53:ALPR: Ensuring Python package manager (pip) is installed...Done
14:56:09:ALPR: Ensuring Python package manager (pip) is up to date...Done
14:56:09:ALPR: Python packages specified by requirements.windows.cuda11_8.txt
14:57:03:ALPR: - Installing PaddlePaddle, Parallel Distributed Deep Learning...(✔️ checked) Done
14:58:55:ALPR: - Installing PaddleOCR, the OCR toolkit based on PaddlePaddle...(✔️ checked) Done
14:58:59:ALPR: - Installing imutils, the image utilities library...(✔️ checked) Done
14:59:01:ALPR: - Installing Pillow, a Python Image Library...Already installed
14:59:02:ALPR: - Installing OpenCV, the Computer Vision library for Python...Already installed
14:59:03:ALPR: - Installing NumPy, a package for scientific computing...Already installed
14:59:04:ALPR: Installing Python packages for the CodeProject.AI Server SDK
14:59:05:ALPR: Ensuring Python package manager (pip) is installed...Done
14:59:09:ALPR: Ensuring Python package manager (pip) is up to date...Done
14:59:09:ALPR: Python packages specified by requirements.txt
14:59:10:ALPR: - Installing Pillow, a Python Image Library...Already installed
14:59:12:ALPR: - Installing Charset normalizer...Already installed
14:59:19:ALPR: - Installing aiohttp, the Async IO HTTP library...(✔️ checked) Done
14:59:23:ALPR: - Installing aiofiles, the Async IO Files library...(✔️ checked) Done
14:59:27:ALPR: - Installing py-cpuinfo to allow us to query CPU info...(✔️ checked) Done
14:59:29:ALPR: - Installing Requests, the HTTP library...Already installed
14:59:29:ALPR: Setup complete
14:59:29:Module ALPR installed successfully.
14:59:29:Command: C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python37\venv\Scripts\python
14:59:29:
14:59:29:
14:59:29:Module 'License Plate Reader' 2.7.2 (ID: ALPR)
14:59:29:Module Path: C:\Program Files\CodeProject\AI\modules\ALPR
14:59:29:Starting C:\Program Files...ws\python37\venv\Scripts\python "C:\Program Files...\modules\ALPR\ALPR_adapter.py"
14:59:29: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"
14:59:29:AutoStart: True
14:59:29:Queue: alpr_queue
14:59:29:Platforms: windows,linux,linux-arm64,macos,macos-arm64,!orangepi,!jetson
14:59:29:GPU Libraries: installed if available
14:59:29:GPU Enabled: enabled
14:59:29:Parallelism: 0
14:59:29:Accelerator:
14:59:29:Half Precis.: enable
14:59:29:Runtime: python3.7
14:59:29:Runtime Loc: Local
14:59:29:FilePath: ALPR_adapter.py
14:59:29:Pre installed: False
14:59:29:Start pause: 1 sec
14:59:29:LogVerbosity:
14:59:29:Valid: True
14:59:29:Environment Variables
14:59:29:AUTO_PLATE_ROTATE = True
14:59:29:MIN_COMPUTE_CAPABILITY = 7
14:59:29:MIN_CUDNN_VERSION = 7
14:59:29:OCR_OPTIMAL_CHARACTER_HEIGHT = 60
14:59:29:OCR_OPTIMAL_CHARACTER_WIDTH = 36
14:59:29:OCR_OPTIMIZATION = True
14:59:29:PLATE_CONFIDENCE = 0.7
14:59:29:PLATE_RESCALE_FACTOR = 2
14:59:29:PLATE_ROTATE_DEG = 0
14:59:29:
14:59:29:Started License Plate Reader module
14:59:29:Installer exited with code 0
14:59:29:Call to run Install on module ALPR has completed.
14:59:30:Module ALPR started successfully.
15:00:01:ALPR_adapter.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
15:00:01:ALPR_adapter.py: Timeout connecting to the server
15:00:01:ALPR_adapter.py: License Plate Reader started.License Plate Reader: License Plate Reader started.
15:00:01:License Plate Reader: License Plate Reader started.
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Member 16163883 wrote: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
This is fine. It's just letting you know.
PaddlePaddle on CUDA 11.8 uses paddlepaddle-gpu==2.5.2 (-i https://mirror.baidu.com/pypi/simple) but 11.7 (which I have) uses paddlepaddle-gpu==2.5.2.post117 (https://www.paddlepaddle.org.cn/whl/linux/cudnnin/stable.html). I wonder if the 11.8 install just doesn't work as is advertised on the box.
If you were keen then you could try the following:
- Remove the Python libraries: Go to
C:\Program Files\CodeProject\AI\modules\ALPR and delete the bin directory. - Use the CUDA 11.7 setup for CUDA 11.8: Delete
requirements.linux.cuda11_7.txt and rename requirements.linux.cuda11_8.txt to requirements.linux.cuda11_7.txt - Redo the installation. In that same directory, open a Windows Command terminal and type
..\..\setup .
If this works please let me know and we'll make this the permanent solution.
cheers
Chris Maunder
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Hi,
I have found this on the install, will investigate later but perhaps you can point me in the right direction.
11:14:25:ALPR: - Installing PaddlePaddle, Parallel Distributed Deep Learning...(✔️ checked) Done
11:16:10:ALPR: ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
11:16:10:ALPR: paddlepaddle-gpu 2.5.2 requires protobuf<=3.20.2,>=3.1.0; platform_system == "Windows", but you have protobuf 4.24.4 which is incompatible.
I did try briefly
Remove the Python libraries: Go to C:\Program Files\CodeProject\AI\modules\ALPR and delete the bin directory.
Use the CUDA 11.7 setup for CUDA 11.8: Delete requirements.linux.cuda11_7.txt and rename requirements.linux.cuda11_8.txt to requirements.linux.cuda11_7.txt
Redo the installation. In that same directory, open a Windows Command terminal and type ..\..\setup.
Did not help but little testing, will try again.
Mine is a windows install, I assume requirements.windows .. not linux as you advised above
I am assuming the ..\\..\setup does not download a fresh lot of all the requirements etc. overwriting any chages just made?
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Hi,
sorry to persist, I have opened another thread, can someone can point me in the right direction of where these installing "Collected Packages" are called from.
I have searched for hours & just cannot see, suspect those in the know, would immediately know where the procedure/code/requirements, is located
15:09:26:ALPR: Using cached MarkupSafe-2.1.3-cp37-cp37m-win_amd64.whl (17 kB)
15:09:27:ALPR: Installing collected packages: pytz, pyclipper, lmdb, zipp, urllib3, typing-extensions, termcolor, soupsieve, six, rarfile, rapidfuzz, pyparsing, PyMuPDF, pycryptodome, psutil, protobuf, Pillow, packaging, numpy, networkx, MarkupSafe, lxml, itsdangerous, idna, future, fonttools, et-xmlfile, cython, cycler, cssselect, colorama, charset-normalizer, certifi, cachetools, Babel, Werkzeug, tqdm, tifffile, shapely, scipy, requests, PyWavelets, python-docx, python-dateutil, openpyxl, opencv-python, opencv-contrib-python, kiwisolver, Jinja2, importlib-metadata, imageio, fire, beautifulsoup4, bce-python-sdk, attrdict, scikit-image, pdf2docx, pandas, matplotlib, cssutils, click, premailer, imgaug, flask, Flask-Babel, visualdl, paddleocr
15:10:59:ALPR: Successfully installed Babel-2.14.0 Flask-Babel-3.1.0 Jinja2-3.1.2 MarkupSafe-2.1.3 Pillow-9.5.0 PyMuPDF-1.20.2 PyWavelets-1.3.0 Werkzeug-2.2.3 attrdict-2.0.1 bce-python-sdk-0.8.98 beautifulsoup4-4.12.2 cachetools-5.3.2 certifi-2023.11.17 charset-normalizer-3.3.2 click-8.1.7 colorama-0.4.6 cssselect-1.2.0 cssutils-2.7.1 cycler-0.11.0 cython-3.0.7 et-xmlfile-1.1.0 fire-0.5.0 flask-2.2.5 fonttools-4.38.0 future-0.18.3 idna-3.6 imageio-2.31.2 imgaug-0.4.0 importlib-metadata-6.7.0 itsdangerous-2.1.2 kiwisolver-1.4.5 lmdb-1.4.1 lxml-4.9.4 matplotlib-3.5.3 networkx-2.6.3 numpy-1.21.6 opencv-contrib-python-4.6.0.66 opencv-python-4.6.0.66 openpyxl-3.1.2 packaging-23.2 paddleocr-2.7.0.2 pandas-1.3.5 pdf2docx-0.5.6 premailer-3.10.0 protobuf-4.24.4 psutil-5.9.7 pyclipper-1.3.0.post5 pycryptodome-3.19.0 pyparsing-3.1.1 python-dateutil-2.8.2 python-docx-1.1.0 pytz-2023.3.post1 rapidfuzz-3.4.0 rarfile-4.1 requests-2.31.0 scikit-image-0.19.3 scipy-1.7.3 shapely-2.0.2 six-1.16.0 soupsieve-2.4.1 termcolor-2.3.0 tifffile-2021.11.2 tqdm-4.66.1 typing-extensions-4.7.1 urllib3-2.0.7 visualdl-2.5.3 zipp-3.15.0
15:10:59:ALPR: ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
15:10:59:ALPR: paddlepaddle-gpu 2.5.2 requires protobuf<=3.20.2,>=3.1.0; platform_system == "Windows", but you have protobuf 4.24.4 which is incompatible.
15:10:59:ALPR: WARNING: Target directory C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python37\venv\Lib\site-packages\certifi already exists. Specify --upgrade to force replacement.
I want to stop if from installing protobuf 4.24.4, either 3.20.2 in its place or perhaps remove all together.
3.20.2 is installed earlier on in the log.
much earlier in the install/log is
15:08:35:ALPR: Installing collected packages: typing-extensions, sniffio, protobuf, Pillow, numpy, idna, exceptiongroup, decorator, certifi, astor, opt-einsum, h11, anyio, httpcore, httpx, paddlepaddle-gpu
15:09:09:ALPR: Successfully installed Pillow-9.5.0 anyio-3.7.1 astor-0.8.1 certifi-2023.11.17 decorator-5.1.1 exceptiongroup-1.2.0 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 idna-3.6 numpy-1.21.6 opt-einsum-3.3.0 paddlepaddle-gpu-2.5.2 protobuf-3.20.2 sniffio-1.3.0 typing-extensions-4.7.1
15:09:11:ALPR: (✔️ checked) Done
1
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Tried uninstalling, removing directory reinstalling many times.
Cuda 11.8 as advised
did try 12, no GPU at all, 11.1 similar to 11.8, object enabled but CPU still just LPR
Confused as the other two are enabled & work fine. I don't use face but object so far is fast & reliable.
MSI Nvidia 1050 ti, latest drivers, used the script etc.
Face Processing 1.8.1
Stopped
GPU (CUDA)
0
License Plate Reader 2.7.2
Started
CPU
150
Object Detection (YOLOv5 .NET) 1.7.1
Stopped
CPU
0
Object Detection (YOLOv5 6.2) 1.7.1
Started
GPU (CUDA)
Server version: 2.3.4-Beta
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz (Intel)
1 CPU x 4 cores. 8 logical processors (x64)
GPU: NVIDIA GeForce GTX 1050 Ti (4 GiB) (NVIDIA)
Driver: 522.06 CUDA: 11.8.89 (max supported: 11.8) Compute: 6.1
System RAM: 16 GiB
Target: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.10
Video adapter info:
NVIDIA GeForce GTX 1050 Ti:
Driver Version 31.0.15.2206
Video Processor NVIDIA GeForce GTX 1050 Ti
Intel(R) HD Graphics 4600:
Driver Version 20.19.15.5126
Video Processor Intel(R) HD Graphics Family
System GPU info:
GPU 3D Usage 15%
GPU RAM Usage 828 MiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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Have just tried installing 2.3.4 on a fresh install of Windows 11 Pro, the installer downloads two files, once done I get an error message about Invalid file hash:
I've also tried installing 2.2.4 with the same error.
Any thoughts?
Thanks
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Thanks very much for the report. We've found the issue and it will be fixed in the next release.
Thanks,
Sean Ewington
CodeProject
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Thanks for the feedback Sean!
I manually installed Visual C++ Redistributable which appeared to fix my issue and 2.3.4 is running perfectly.
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Hello,
I just updated to the latest version of Code Project AI. I am unable to install Object Detection Yolo8. I get an error in the log that it's unable to download the module; the URL extension doesn't exist. I completely uninstalled and removed the previous directories, and checked my firewall settings. That didn't fix it. Any help would be greatly appreciated. Thank you.
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I also have this issue. I see this in the log file: "Unable to install FaceProcessing: Unable to download module 'FaceProcessing' from https://www.codeproject.com/KB/articles/5348853/FaceProcessing-1.8.1.zip. Error: Error while copying content to a stream."
I get the same message for all the modules. If I copy-paste the path into the address bar it also fails, reporting a "network error" (which it's not). Other .zip files download from other sites.
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Jon Brierley wrote: it also fails, reporting a "network error" (which it's not).
We've been testing this all afternoon on and off and it stubbornly refuses to fail for us. Is there a specific reason you say it's not a network error? Could it be an ad blocker, proxy, firewall, anti-virus or something that's blocking it? Can you download files from other CodeProject articles? Are you able to view CodeProject.com without problems?
We're trying to narrow this down but the whole chain is working fine for us so we've got nothing to go on.
cheers
Chris Maunder
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Thanks very much for your message. Can you please share your System Info tab from the CodeProject.AI Server dashboard?
Thanks,
Sean Ewington
CodeProject
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Sure can. Just to make sure it's clear, the error for me is ALL modules, not just the NVidia one.
Server version: 2.3.4-Beta
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: 13th Gen Intel(R) Core(TM) i7-13850HX (Intel)
1 CPU x 20 cores. 28 logical processors (x64)
GPU: Intel(R) UHD Graphics (1,024 MiB) (Intel Corporation)
Driver: 31.0.101.4575
System RAM: 32 GiB
Target: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.14
Video adapter info:
Intel(R) UHD Graphics:
Driver Version 31.0.101.4575
Video Processor Intel(R) RaptorLake-S Mobile Graphics Controller
System GPU info:
GPU 3D Usage 2%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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Since I am able to download the files, but you are not able to, I suspect that there is something on your system or network that is blocking download from our servers.
Do you have an Ad Blocker running?
Are there any Firewalls or other obstacles on your network that might hinder downloading ZIP files?
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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I do not have an ad blocker running and I can download .zip files from other sites so it's not the zip file per-se. I downloaded and installed the executable zip file from this location without issue: https://www.codeproject.com/script/Articles/ViewDownloads.aspx?aid=5322557
If I take one of the paths reported in the error log and attempt to download it by pasting in the browser address bar, it reports a "Network Error", even though the application zip downloaded without issue. I tried it on multiple browsers.
https://www.codeproject.com/KB/articles/5348853/FaceProcessing-1.7.zip
So basically I have no idea what's going on there!
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Member 15672503 wrote: an error in the log that it's unable to download the module; the URL extension doesn't exist
If you see this error again can you please cut and paste either the exact text or a screenshot?
Could you also look in C:\Program Files\CodeProject\AI\modules and see if there is an ObjectDetectionYOLOv8 folder, and if so, is there an install.log in that folder? If so, can you please paste that here so we can debug?
cheers
Chris Maunder
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I see the same for this module only. It does not dload from a browser either.
The double log entry is my mouse debounce...
16:58:15:Preparing to install module 'ObjectDetectionYOLOv8'
16:58:15:Downloading module 'ObjectDetectionYOLOv8'
16:58:15:Unable to download module 'ObjectDetectionYOLOv8' from https:
16:58:15:Unable to download module 'ObjectDetectionYOLOv8' from https:
modified 13-Dec-23 20:14pm.
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2023-12-14 10:14:30: Command: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python
2023-12-14 10:14:30:
2023-12-14 10:14:30: 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"
2023-12-14 10:14:30: Starting C:\Program Files...ws\python37\venv\Scripts\python "C:\Program Files...ing\intelligencelayer\face.py"
2023-12-14 10:14:30:
2023-12-14 10:14:30: ** Module 'Face Processing' 1.8.1 (ID: FaceProcessing)
2023-12-14 10:14:30: ** Module Path: C:\Program Files\CodeProject\AI\modules\FaceProcessing
2023-12-14 10:14:30: ** AutoStart: True
2023-12-14 10:14:30: ** Queue: faceprocessing_queue
2023-12-14 10:14:30: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-12-14 10:14:30: ** GPU Libraries: installed if available
2023-12-14 10:14:30: ** GPU Enabled: enabled
2023-12-14 10:14:30: ** Parallelism: 0
2023-12-14 10:14:30: ** Accelerator:
2023-12-14 10:14:30: ** Half Precis.: enable
2023-12-14 10:14:30: ** Runtime: python3.7
2023-12-14 10:14:30: ** Runtime Loc: Shared
2023-12-14 10:14:30: ** FilePath: intelligencelayer\face.py
2023-12-14 10:14:30: ** Pre installed: False
2023-12-14 10:14:30: ** Start pause: 3 sec
2023-12-14 10:14:30: ** LogVerbosity:
2023-12-14 10:14:30: ** Valid: True
2023-12-14 10:14:30: ** Environment Variables
2023-12-14 10:14:30: ** APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
2023-12-14 10:14:30: ** CPAI_MODULE_ENABLE_GPU = True
2023-12-14 10:14:30: ** DATA_DIR = %DATA_DIR%
2023-12-14 10:14:30: ** MODE = MEDIUM
2023-12-14 10:14:30: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-12-14 10:14:30: ** PROFILE = desktop_gpu
2023-12-14 10:14:30: ** USE_CUDA = True
2023-12-14 10:14:30: ** YOLOv5_AUTOINSTALL = false
2023-12-14 10:14:30: ** YOLOv5_VERBOSE = false
2023-12-14 10:14:30:
2023-12-14 10:14:30: Started Face Processing module
2023-12-14 10:14:30: face.py: Traceback (most recent call last):
2023-12-14 10:14:30: face.py: File "C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer\face.py", line 21, in <module>
2023-12-14 10:14:30: face.py: from request_data import RequestData
2023-12-14 10:14:30: face.py: File "../../SDK/Python\request_data.py", line 7, in <module>
2023-12-14 10:14:30: face.py: from PIL import Image
2023-12-14 10:14:30: face.py: ModuleNotFoundError: No module named 'PIL'
2023-12-14 10:14:30: ** Module FaceProcessing has shutdown
2023-12-14 10:14:30: face.py: has exited
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