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I am more than happy to help troubleshoot in any way that I can. I suspect that any server, though, running from the same Docker image, is doing the same thing. I created a completely independent RPI instance using an RPI 4 with 8GB RAM and newly downloaded image (Linux pi8-rpi 6.6.31+rpt-rpi-v8 #1 SMP PREEMPT Debian 1:6.6.31-1+rpt1 (2024-05-29) aarch64 GNU/Linux). I added Docker and downloaded codeproject/ai-server:rpi64 then set up the docker-compose file exactly like the example on your site. In other words, it is completely vanilla.
The open files limit (by default) is 1048576. The CodeProject.AI.Server.dll process is doing exactly the same thing it does in my Fedora environments and at about the same rate:
Quote: futex(0x55a20d65b8, FUTEX_WAIT_BITSET_PRIVATE|FUTEX_CLOCK_REALTIME, 0, NULL, FUTEX_BITSET_MATCH_ANY) = ? ERESTARTSYS (To be restarted if SA_RESTART is set)
--- SIGCHLD {si_signo=SIGCHLD, si_code=CLD_EXITED, si_pid=237742, si_uid=0, si_status=0, si_utime=0, si_stime=2} ---
write(64, "\21", 1) = 1
rt_sigreturn({mask=[]}) = 367791007160
The number of FIFO file handles increases until it hits the limit, then drops back to around 800 (probably less because I'm probably not seeing the lowest number).
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It does make sense that it would be the server, but thanks for confirming that.
Do you have the Explorer and/or dashboard open when you're seeing file handles grow? If so, and if you close both, do the file handles stabilise?
My guess is it's TCP/IP connections. The question is: where?
cheers
Chris Maunder
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Whether the dashboard is open has no effect on the generation of the file handles. In fact, neither does activity. The number of file handles grows at the same rate on a newly started server with no clients and no GUI connection. On a system with no ulimit set, a server will crash when memory runs out even if it has no interaction at all with the outside world. I can't absolutely confirm this, but the growth seems to be exponential rather than linear, or at least inconsistent, with a huge increase just before the host OS shuts it down.
I would add one more thing because I think it is related. There are several issues on this site related to ai-server becoming unresponsive. I have seen the same thing, and when it happens, the server stops spewing out new processes and FIFO file handles. It isn't an inevitable consequence of uptime, and I have not been able to figure out what, if anything, is triggering it.
modified yesterday.
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I'm running the 12_2 CUDA Docker version...
This is what I see:
I also tried the version 11 Cuda Docker as well.
Is it just me or did this change?
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Hi all. I am a long term Windows and BlueIris user but a novice with linux etc.
In an effort to use the mesh capabilities of CodeProject.AI on BlueIris, I have managed to get Mendel running on a Google Coral Dev Board and now want to install CodeProject.ai to the dev board - and am struggling so would really appreciate assistance, please.
I couldn't find any specific guidance for this board so am following the general installation guide
sudo apt install dotnet-sdk-7.0 appears to be failing with this output:
mendel@coy-apple:~$ sudo apt install dotnet-sdk-7.0
Reading package lists... Done
Building dependency tree... Done
E: Unable to locate package dotnet-sdk-7.0
E: Couldn't find any package by glob 'dotnet-sdk-7.0'
E: Couldn't find any package by regex 'dotnet-sdk-7.0'
mendel@coy-apple:~$
What am I doing wrong, please?
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Mendel is essentially Debian so you could try using the Ubuntu .deb installer
cheers
Chris Maunder
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Thank you, Chris.
I ended up using https://learn.microsoft.com/en-us/dotnet/core/install/linux-debian to install it (using Debian 10 option) and that seems to have worked.
I then used the https://www.codeproject.com/KB/Articles/5322557/codeproject.ai-server_2.6.5_Ubuntu_arm64.zip Arm64 CP distribution but when I try to install it using pushd "/usr/bin/codeproject.ai-server-2.6.5/" && bash setup.sh && popd it is throwing errors:
(No schemas means: we can't detect if you're in light or dark mode)
Setting up CodeProject.AI Development Environment
======================================================================
CodeProject.AI Installer
======================================================================
3.02 GiB of 5.00 GiB available on linux
Installing xz-utils...
General CodeProject.AI setup
Setting permissions on runtimes folder...done
Setting permissions on downloads folder...done
Setting permissions on modules download folder...done
Setting permissions on models download folder...done
Setting permissions on persisted data folder...done
GPU support
CUDA (NVIDIA) Present: No
ROCm (AMD) Present: (attempt to install rocminfo...) No
MPS (Apple) Present: No
Processing CodeProject.AI SDK
Searching for apt-utils...All good.
Searching for ca-certificates gnupg libc6-dev libfontc...W: Skipping acquire of configured file 'main/source/Sources' as repository 'https://packages.cloud.google.com/apt mendel-eagle-bsp-enterprise InRelease' does not seem to provide it (sources.list entry misspelt?)
W: Skipping acquire of configured file 'main/source/Sources' as repository 'https://packages.cloud.google.com/apt coral-edgetpu-stable InRelease' does not seem to provide it (sources.list entry misspelt?)
W: Skipping acquire of configured file 'main/source/Sources' as repository 'https://packages.cloud.google.com/apt mendel-eagle InRelease' does not seem to provide it (sources.list entry misspelt?)
All good.
Searching for ffmpeg libsm6 libxext6 mesa-utils curl r...All good.
Checking for .NET 7.0...All good. .NET is 7.0.20
Confirming .NET aspnetcore install present. Version is 7.0.20
Processing CodeProject.AI Server
Processing Included CodeProject.AI Server Modules
Reading module settings.......done
Processing module
This module cannot be installed on this system
Module setup Complete
Setup complete
Total setup time 00:00:19
I'm not clear what module cannot be installed, nor how to fix this. Apologies for what is probably a very basic problem, but any help at all would be appreciated.
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I'm using codeproject 2.6.5 and when installing LlamaChat the following error occurs:
Installing simple Python bindings for the llama.cpp library...(⌠failed check) done
Soon after:
23:37:26:LlamaChat: Traceback (most recent call last):
23:37:26:LlamaChat: File "C:\Program Files\CodeProject\AI\modules\LlamaChat\llama_chat_adapter.py", line 16, in
23:37:26:LlamaChat: from llama_chat import LlamaChat
23:37:26:LlamaChat: File "C:\Program Files\CodeProject\AI\modules\LlamaChat\llama_chat.py", line 7, in
23:37:26:LlamaChat: from llama_cpp import ChatCompletionRequestSystemMessage, \
23:37:26:LlamaChat: ModuleNotFoundError: No module named 'llama_cpp'
what is happening?
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Thanks very much for your message. It could be the module did not install correctly. Could you please try re-installing it?
If the same thing happens, could you please C:\Program Files\CodeProject\AI\modules\LlamaChat and share your install.log (as well as System Info tab from your CodeProject.AI Server dashboard)?
Thanks,
Sean Ewington
CodeProject
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hello, I already reinstalled the entire codeproject on two PCs, but none of them worked. follow the log:
=============================
2024-05-31 00:20:36: Installing CodeProject.AI Analysis Module
2024-05-31 00:20:36: ======================================================================
2024-05-31 00:20:36: CodeProject.AI Installer
2024-05-31 00:20:36: ======================================================================
2024-05-31 00:20:36: 95.3Gb of 976Gb available on
2024-05-31 00:20:36: General CodeProject.AI setup
2024-05-31 00:20:36: Creating Directories...done
2024-05-31 00:20:36: GPU support
2024-05-31 00:20:36: CUDA Present...Yes (CUDA 12.2, No cuDNN found)
2024-05-31 00:20:37: ROCm Present...No
2024-05-31 00:20:37: Checking for .NET 7.0...Checking SDKs...Upgrading: .NET is 0
2024-05-31 00:20:37: Current version is 0. Installing newer version.
2024-05-31 00:20:37: 'winget' não é reconhecido como um comando interno
2024-05-31 00:20:37: ou externo, um programa operável ou um arquivo em lotes.
2024-05-31 00:20:39: Reading LlamaChat settings.......done
2024-05-31 00:20:39: Installing module LlamaChat 1.4.4
2024-05-31 00:20:39: Installing Python 3.9
2024-05-31 00:20:39: Python 3.9 is already installed
2024-05-31 00:20:46: Creating Virtual Environment (Local)...done
2024-05-31 00:20:46: Confirming we have Python 3.9 in our virtual environment...present
2024-05-31 00:20:46: Downloading mistral-7b-instruct-v0.2.Q4_K_M.gguf
2024-05-31 00:32:41: Moving mistral-7b-instruct-v0.2.Q4_K_M.gguf into the models folder.
2024-05-31 00:32:41: Installing Python packages for LlamaChat
2024-05-31 00:32:41: [0;Installing GPU-enabled libraries: If available
2024-05-31 00:32:42: Ensuring Python package manager (pip) is installed...done
2024-05-31 00:32:52: Ensuring Python package manager (pip) is up to date...done
2024-05-31 00:32:52: Python packages specified by requirements.cuda12_2.txt
2024-05-31 00:32:59: - Installing the huggingface hub...(✅ checked) done
2024-05-31 00:33:01: - Installing disckcache for Disk and file backed persistent cache...(✅ checked) done
2024-05-31 00:33:09: - Installing NumPy, a package for scientific computing...(✅ checked) done
2024-05-31 00:33:25: - Installing simple Python bindings for the llama.cpp library...(⌠failed check) done
2024-05-31 00:33:25: Installing Python packages for the CodeProject.AI Server SDK
2024-05-31 00:33:26: Ensuring Python package manager (pip) is installed...done
2024-05-31 00:33:28: Ensuring Python package manager (pip) is up to date...done
2024-05-31 00:33:28: Python packages specified by requirements.txt
2024-05-31 00:33:32: - Installing Pillow, a Python Image Library...(✅ checked) done
2024-05-31 00:33:32: - Installing Charset normalizer...Already installed
2024-05-31 00:33:36: - Installing aiohttp, the Async IO HTTP library...(✅ checked) done
2024-05-31 00:33:39: - Installing aiofiles, the Async IO Files library...(✅ checked) done
2024-05-31 00:33:41: - Installing py-cpuinfo to allow us to query CPU info...(✅ checked) done
2024-05-31 00:33:42: - Installing Requests, the HTTP library...Already installed
2024-05-31 00:33:42: Scanning modulesettings for downloadable models...No models specified
2024-05-31 00:33:42: Traceback (most recent call last):
2024-05-31 00:33:42: File "C:\Program Files\CodeProject\AI\modules\LlamaChat\llama_chat_adapter.py", line 16, in <module>
2024-05-31 00:33:42: from llama_chat import LlamaChat
2024-05-31 00:33:42: File "C:\Program Files\CodeProject\AI\modules\LlamaChat\llama_chat.py", line 7, in <module>
2024-05-31 00:33:42: from llama_cpp import ChatCompletionRequestSystemMessage, \
2024-05-31 00:33:42: ModuleNotFoundError: No module named 'llama_cpp'
2024-05-31 00:33:43: Self test: Self-test passed
2024-05-31 00:33:43: Module setup time 00:13:05.67
2024-05-31 00:33:43: Setup complete
2024-05-31 00:33:43: Total setup time 00:13:06.86
Installer exited with code 0
===============================
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Can you please paste the info from the System Info tab here? Otherwise we're just guess what system you have.
The translation is "'winget' is not recognized as an internal command" which means you're missing some bits. I'm guessing there may be other issues the installer may be having due to the language on your machine not being English
cheers
Chris Maunder
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Server version: 2.6.5
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: AMD Ryzen 9 5900X 12-Core Processor (AMD)
1 CPU x 12 cores. 24 logical processors (x64)
GPU (Primary): NVIDIA GeForce RTX 3060 (12 GiB) (NVIDIA)
Driver: 536.25, CUDA: 12.2.91 (up to: 12.2), Compute: 8.6, cuDNN:
System RAM: 64 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.10
.NET SDK: Not found
Default Python: Not found
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
NVIDIA GeForce RTX 3060:
Driver Version 31.0.15.3625
Video Processor NVIDIA GeForce RTX 3060
System GPU info:
GPU 3D Usage 44%
GPU RAM Usage 10,6 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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Thanks very much for that. We're narrowing in on a possible reason for this, but to confirm, could you please change your Logging level in the Server logs tab to Information, and then try to re-install the module again, and then share those module install logs with us?
Thanks,
Sean Ewington
CodeProject
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hello,
I changed the log level to 'trace'. Follow the informations:
17:36:50:LlamaChat doesn't appear in the Process list, so can't stop it.
17:36:51:Call to run Uninstall on module LlamaChat has completed.
17:37:10:Preparing to install module 'LlamaChat'
17:37:10:Downloading module 'LlamaChat'
17:37:11:Installing module 'LlamaChat'
17:37:11:Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
17:37:12:LlamaChat: Installing CodeProject.AI Analysis Module
17:37:12:LlamaChat: ======================================================================
17:37:12:LlamaChat: CodeProject.AI Installer
17:37:12:LlamaChat: ======================================================================
17:37:12:LlamaChat: 154.1Gb of 476Gb available on
17:37:12:LlamaChat: General CodeProject.AI setup
17:37:12:LlamaChat: Creating Directories...done
17:37:12:LlamaChat: GPU support
17:37:13:LlamaChat: CUDA Present...Yes (CUDA 12.5, No cuDNN found)
17:37:13:LlamaChat: ROCm Present...No
17:37:15:LlamaChat: Reading LlamaChat settings.......done
17:37:15:LlamaChat: Installing module LlamaChat 1.4.4
17:37:15:LlamaChat: Installing Python 3.9
17:37:15:LlamaChat: Python 3.9 is already installed
17:37:26:LlamaChat: Creating Virtual Environment (Local)...done
17:37:26:LlamaChat: Confirming we have Python 3.9 in our virtual environment...present
17:37:26:LlamaChat: Downloading mistral-7b-instruct-v0.2.Q4_K_M.gguf
17:40:00:LlamaChat: Moving mistral-7b-instruct-v0.2.Q4_K_M.gguf into the models folder.
17:40:00:LlamaChat: Installing Python packages for LlamaChat
17:40:00:LlamaChat: [0;Installing GPU-enabled libraries: If available
17:40:02:LlamaChat: Ensuring Python package manager (pip) is installed...done
17:40:13:LlamaChat: Ensuring Python package manager (pip) is up to date...done
17:40:13:LlamaChat: Python packages specified by requirements.cuda12.txt
17:40:21:LlamaChat: - Installing the huggingface hub...(✅ checked) done
17:40:23:LlamaChat: - Installing disckcache for Disk and file backed persistent cache...(✅ checked) done
17:40:32:LlamaChat: - Installing NumPy, a package for scientific computing...(✅ checked) done
17:40:51:LlamaChat: - Installing simple Python bindings for the llama.cpp library...(⌠failed check) done
17:40:51:LlamaChat: Installing Python packages for the CodeProject.AI Server SDK
17:40:53:LlamaChat: Ensuring Python package manager (pip) is installed...done
17:40:55:LlamaChat: Ensuring Python package manager (pip) is up to date...done
17:40:55:LlamaChat: Python packages specified by requirements.txt
17:40:58:LlamaChat: - Installing Pillow, a Python Image Library...(✅ checked) done
17:40:59:LlamaChat: - Installing Charset normalizer...Already installed
17:41:04:LlamaChat: - Installing aiohttp, the Async IO HTTP library...(✅ checked) done
17:41:06:LlamaChat: - Installing aiofiles, the Async IO Files library...(✅ checked) done
17:41:09:LlamaChat: - Installing py-cpuinfo to allow us to query CPU info...(✅ checked) done
17:41:10:LlamaChat: - Installing Requests, the HTTP library...Already installed
17:41:10:LlamaChat: Scanning modulesettings for downloadable models...No models specified
17:41:11:LlamaChat: Traceback (most recent call last):
17:41:11:LlamaChat: File "C:\Program Files\CodeProject\AI\modules\LlamaChat\llama_chat_adapter.py", line 16, in
17:41:11:LlamaChat: from llama_chat import LlamaChat
17:41:11:LlamaChat: File "C:\Program Files\CodeProject\AI\modules\LlamaChat\llama_chat.py", line 7, in
17:41:11:LlamaChat: from llama_cpp import ChatCompletionRequestSystemMessage, \
17:41:11:LlamaChat: ModuleNotFoundError: No module named 'llama_cpp'
17:41:11:LlamaChat: Self test: Self-test passed
17:41:11:LlamaChat: Module setup time 00:03:58.04
17:41:11:LlamaChat: Setup complete
17:41:11:LlamaChat: Total setup time 00:03:59.33
17:41:11:Module LlamaChat installed successfully.
17:41:11:Module LlamaChat not configured to AutoStart.
17:41:11:Installer exited with code 0
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hello,
Any feedback on this problem?
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Quote: Installing simple Python bindings for the llama.cpp library...(⌠failed check) done
This is the issue. It's not able to install llama-cpp-python.
In the llama folder under /modules, there is a file requirements.cuda12.txt
Can you edit that and change
https://abetlen.github.io/llama-cpp-python/whl/cu121/ to https://abetlen.github.io/llama-cpp-python/whl/cu124/
(121 to 124)
then open a terminal in the llama directory and type ..\..\setup and it'll rerun the setup for that module.
The issue, I think, is you're on CUDA 12.5 and our requirements.txt files only support up to CUDA 12.2. It could be failing due to that. The best match I can find is for 12.4, so it's worth a try
cheers
Chris Maunder
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did not work,
I uninstalled the module and had it installed again at the time of installation, I quickly modified the files (requirements.cuda12....) and also created a final file cuda12_5.txt, the installation pulled this file, but in the end it failed with the same error:
"Installing simple Python bindings for the llama.cpp library...(⌠failed check)"
I installed cuda 12.5 after trying to install LlamaChat, it shouldn't be cuda 12.5... Previously it was with cuda 11.8.
Any other suggestions?
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I'm currently running 2.6.2 and it is working fine. 2.6.2 was easier to install than previous version and reflects amazing work by the team!
If I read the "release note", it only says: "2.6.5 Various installer fixes"
Given that upgrades may, or may not be, fast or even successful, based on this, I would not choose to upgrade solely for installer fixes...
But, in the UI, I see: "An update to version 2.6.5 is available Download
Support for external modules and module updates."
OK, that's a different matter... do I need to upgrade to get the updated modules? I do not see any modules available for update in the Modules control panel? I thought that was the point of modules?
Is an upgrade recommended if I already have 2.6.2 installed and functioning?
Do I need to upgrade in order to update modules or should module updates be available in 2.6.2?
A little more clarity would be helpful.
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You do indeed need to upgrade to get the updated modules.
Generally the further we get along, the more stable CodeProject.AI Server becomes. Also, if you don't upgrade, you'll get to a point where we're patching modules, updating modules, and actively working on the latest modules with the belief the majority of users are using them. Then if you ever have a problem with your current modules or setup, you'll be that far removed from the latest version.
Thanks,
Sean Ewington
CodeProject
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Server version: 2.6.5
System: Linux
Operating System: Linux (Ubuntu 22.04)
CPUs: Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz (Intel)
1 CPU x 4 cores. 4 logical processors (x64)
GPU (Primary): HD Graphics 530 (rev 06) (Intel Corporation)
System RAM: 8 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.19
.NET SDK: Not found
Default Python: 3.10.12
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
HD Graphics 530 (rev 06):
Driver Version
Video Processor
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Module 'Object Detection (YOLOv5 6.2)' 1.9.1 (ID: ObjectDetectionYOLOv5-6.2)
Valid: True
Module Path: <root>/modules/ObjectDetectionYOLOv5-6.2
Module Location: Internal
AutoStart: True
Queue: objectdetection_queue
Runtime: python3.8
Runtime Location: Shared
FilePath: detect_adapter.py
Start pause: 1 sec
Parallelism: 0
LogVerbosity:
Platforms: all,!raspberrypi,!jetson
GPU Libraries: installed if available
GPU: use if supported
Accelerator:
Half Precision: enable
Environment Variables
APPDIR = <root>/modules/ObjectDetectionYOLOv5-6.2
CUSTOM_MODELS_DIR = <root>/modules/ObjectDetectionYOLOv5-6.2/custom-models
MODELS_DIR = <root>/modules/ObjectDetectionYOLOv5-6.2/assets
MODEL_SIZE = Medium
USE_CUDA = True
YOLOv5_AUTOINSTALL = false
YOLOv5_VERBOSE = false
Status Data: {
"inferenceDevice": "CPU",
"inferenceLibrary": "",
"canUseGPU": "false",
"successfulInferences": 1673,
"failedInferences": 1,
"numInferences": 1674,
"averageInferenceMs": 799.8786610878661
}
Started: 29 May 2024 6:55:47 AM Central Standard Time
LastSeen: 29 May 2024 9:03:58 AM Central Standard Time
Status: Started
Requests: 1674 (includes status calls)
Installation Log
2024-05-29 06:31:54: Setting verbosity to quiet
2024-05-29 06:31:54: Installing CodeProject.AI Analysis Module
2024-05-29 06:31:54: ======================================================================
2024-05-29 06:31:54: CodeProject.AI Installer
2024-05-29 06:31:54: ======================================================================
2024-05-29 06:31:54: 505.05 GiB of 843.02 GiB available on linux
2024-05-29 06:31:54: Installing xz-utils...
2024-05-29 06:31:56: General CodeProject.AI setup
2024-05-29 06:31:56: Setting permissions on runtimes folder...done
2024-05-29 06:31:56: Setting permissions on downloads folder...done
2024-05-29 06:31:56: Setting permissions on modules download folder...done
2024-05-29 06:31:56: Setting permissions on models download folder...done
2024-05-29 06:31:56: Setting permissions on persisted data folder...done
2024-05-29 06:31:56: GPU support
2024-05-29 06:31:56: CUDA (NVIDIA) Present: No
2024-05-29 06:31:56: ROCm (AMD) Present: No
2024-05-29 06:31:56: MPS (Apple) Present: No
2024-05-29 06:31:57: Reading module settings.......done
2024-05-29 06:31:57: Processing module ObjectDetectionYOLOv5-6.2 1.9.1
2024-05-29 06:31:57: Installing Python 3.8
2024-05-29 06:31:57: Python 3.8 is already installed
2024-05-29 06:32:02: W: https:
2024-05-29 06:32:09: Ensuring PIP in base python install... done
2024-05-29 06:32:10: Upgrading PIP in base python install... done
2024-05-29 06:32:10: Virtual Environment already present
2024-05-29 06:32:10: Checking for Python 3.8...(Found Python 3.8.19) All good
2024-05-29 06:32:12: Upgrading PIP in virtual environment... done
2024-05-29 06:32:14: Installing updated setuptools in venv... done
2024-05-29 06:32:47: Downloading Standard YOLO models...Expanding... done.
2024-05-29 06:32:47: Moving contents of models-yolo5-pt.zip to assets...done.
2024-05-29 06:33:30: Downloading Custom YOLO models...Expanding... done.
2024-05-29 06:33:30: Moving contents of custom-models-yolo5-pt.zip to custom-models...done.
2024-05-29 06:33:30: Installing Python packages for Object Detection (YOLOv5 6.2)
2024-05-29 06:33:30: Installing GPU-enabled libraries: If available
2024-05-29 06:33:31: Searching for python3-pip...All good.
2024-05-29 06:33:34: Ensuring PIP compatibility... done
2024-05-29 06:33:34: Python packages will be specified by requirements.linux.txt
2024-05-29 06:33:36: - Installing Pandas, a data analysis / data manipulation tool...Already installed
2024-05-29 06:33:37: - Installing CoreMLTools, for working with .mlmodel format models...Already installed
2024-05-29 06:33:38: - Installing OpenCV, the Open source Computer Vision library...Already installed
2024-05-29 06:33:40: - Installing Pillow, a Python Image Library...Already installed
2024-05-29 06:33:41: - Installing SciPy, a library for mathematics, science, and engineering...Already installed
2024-05-29 06:33:42: - Installing PyYAML, a library for reading configuration files...Already installed
2024-05-29 06:33:44: - Installing Torch, for Tensor computation and Deep neural networks...Already installed
2024-05-29 06:33:45: - Installing TorchVision, for Computer Vision based AI...Already installed
2024-05-29 06:38:39: - Installing Ultralytics YoloV5 package for object detection in images... (✅ checked) done
2024-05-29 06:38:41: - Installing Seaborn, a data visualization library based on matplotlib...Already installed
2024-05-29 06:38:41: Installing Python packages for the CodeProject.AI Server SDK
2024-05-29 06:38:42: Searching for python3-pip...All good.
2024-05-29 06:38:47: Ensuring PIP compatibility... done
2024-05-29 06:38:47: Python packages will be specified by requirements.txt
2024-05-29 06:38:49: - Installing Pillow, a Python Image Library...Already installed
2024-05-29 06:38:51: - Installing Charset normalizer...Already installed
2024-05-29 06:38:53: - Installing aiohttp, the Async IO HTTP library...Already installed
2024-05-29 06:38:55: - Installing aiofiles, the Async IO Files library...Already installed
2024-05-29 06:38:57: - Installing py-cpuinfo to allow us to query CPU info...Already installed
2024-05-29 06:38:59: - Installing Requests, the HTTP library...Already installed
2024-05-29 06:38:59: Scanning modulesettings for downloadable models...No models specified
2024-05-29 06:39:08: Fusing layers...
2024-05-29 06:39:09: YOLOv5.1m summary: 391 layers, 21805053 parameters, 0 gradients
2024-05-29 06:39:09: Adding AutoShape...
2024-05-29 06:39:12: Self test: Self-test passed
2024-05-29 06:39:12: Module setup time 00:07:16
2024-05-29 06:39:13: Setup complete
2024-05-29 06:39:13: Total setup time 00:07:19
Installer exited with code 0
1: Would is be possible to change the "DisableLegacyPort": parameter in the appsettings.json file from false to true? It would save some time troubleshooting when CPAI collides with another program running on the machine.
2: I might be doing this wrong, but...
I am having to do the following to get the service to run on Ubuntu 22.04:
a: copy /bin/codeproject.ai-server-2.6.5/codeproject.ai-server.service to /lib/systemd/system
b: run sudo systemctl enable codeproject.ai-server
c: reboot the machine.
Am I doing something wrong, or should this be done by the install program?
It seems to indicate that the service will start when the machine reboots, but in my experience, that does not happen.
TIA
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Quote: Would is be possible to change the "DisableLegacyPort": parameter in the appsettings.json file from false to true?
Absolutely. We can't do that for everyone, since it's there to provide seamless legacy support, but you can just edit the value yourself and restart the server and you're good to go
Steve Winn wrote: I am having to do the following to get the service to run on Ubuntu 22.04:
The installer does this itself, and you should see the line "Adding CodeProject.AI Server to Daemon list"
It does
sudo cp "/usr/bin/codeproject.ai-server-2.6.5/codeproject.ai-server.service" /etc/systemd/system/codeproject.ai-server.service
sudo systemctl daemon-reload
It doesn't reboot, just releads, so maybe just a reboot is enough. However, if you're not seeing the system file in place then something's up.
cheers
Chris Maunder
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Oh. So I must have an odd distro or install, as at least with 2.6.2 it didn't do that for me.
But also with earlier versions, the only way I could get a proper install was to sudo -i and run dpkg -i as root. (permission issues creating directories)
I haven't used *nix in a production environment for a very long time, so I'm really out of practice. 
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sudo'ing to install is definitely necessary.
And yeah - after being out of Unixville for many, many years it's been a learning curve (but a comfortable one) getting back into the swing of things.
All my bad habits are still nicely in place 
cheers
Chris Maunder
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I've posted this before.
You aren't tracking with me.
I always sudo when I do most admin tasks.
But with 2.5.* and 2.6.2 installing using sudo, I was still seeing permission errors.
I wasn't able to complete the install successfully until I did sudo -i to change to the root user.
root@Ubuntu:#
And then run dpkg -i <filename.deb>
I don't know why it's a permission thing.
Ubuntu 22.04 installed taking defaults, up to date, nothing special.
This happens with the CodeProject .deb files.
Most other apps I can install as sudo.
Just a curiosity as far as I'm concerned, now that I know.
Earlier versions would not open with Software Installer.
You would get Loading... forever.
Maybe that's why I started down this path. Who knows.
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