CodeProject.AI Discussions

Re: Failed LlamaChat installer

31-May-24 6:38

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

sergiokampa31-May-24 8:27

sergiokampa

31-May-24 8:27

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

2.6.2 --> 2.6.5 Upgrade? Better release notes and pragmatic recommendation?

OldishCoder30-May-24 4:04

OldishCoder

30-May-24 4:04

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.

Re: 2.6.2 --> 2.6.5 Upgrade? Better release notes and pragmatic recommendation?

Sean Ewington30-May-24 5:33

Sean Ewington

30-May-24 5:33

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

Ubuntu x64 installer 2.6.5 Questions?

Steve Winn29-May-24 4:19

29-May-24 4:19

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://packages.cloud.google.com/apt/dists/coral-edgetpu-stable/InRelease: Key is stored in legacy trusted.gpg keyring (/etc/apt/trusted.gpg), see the DEPRECATION section in apt-key(8) for details.
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

Chris Maunder30-May-24 6:35

30-May-24 6:35

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

Bash

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

Steve Winn30-May-24 7:54

30-May-24 7:54

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. Laugh | :laugh:

Chris Maunder30-May-24 7:58

30-May-24 7:58

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 Wink | ;)

cheers
Chris Maunder

Steve Winn30-May-24 9:26

CPAI ver 2.6.5 with Blue Iris ver 5.9.0.7 Blue Iris does not populate Custom Models listbox

30-May-24 9:26

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.

Steve Winn29-May-24 3:32

Re: CPAI ver 2.6.5 with Blue Iris ver 5.9.0.7 Blue Iris does not populate Custom Models listbox

29-May-24 3:32

To start, as it usually asked for:

Server version:   2.6.5
System:           Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs:             Intel(R) Core(TM) i5-7500 CPU @ 3.40GHz (Intel)
                  1 CPU x 4 cores. 4 logical processors (x64)
GPU (Primary):    Intel(R) HD Graphics 630 (1,024 MiB) (Intel Corporation) 
                  Driver: 31.0.101.2111
System RAM:       16 GiB
Platform:         Windows
BuildConfig:      Release
Execution Env:    Native
Runtime Env:      Production
Runtimes installed:
  .NET runtime:     7.0.5
  .NET SDK:         Not found
  Default Python:   Not found
  Go:               Not found
  NodeJS:           Not found
  Rust:             Not found
Video adapter info:
  Intel(R) HD Graphics 630:
    Driver Version     31.0.101.2111
    Video Processor    Intel(R) HD Graphics Family
System GPU info:
  GPU 3D Usage       9%
  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:          python3.7
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": 65,
  "failedInferences": 0,
  "numInferences": 65,
  "averageInferenceMs": 871.9076923076923
}
Started:      29 May 2024 7:52:34 AM Central Standard Time
LastSeen:     29 May 2024 8:04:21 AM Central Standard Time
Status:       Started
Requests:     65 (includes status calls)



Installation Log
2024-05-29 07:08:20:              Installing CodeProject.AI Analysis Module                
2024-05-29 07:08:20: ======================================================================
2024-05-29 07:08:20:                    CodeProject.AI Installer                           
2024-05-29 07:08:20: ======================================================================
2024-05-29 07:08:20: 288.3Gb of 487Gb available on 
2024-05-29 07:08:21: General CodeProject.AI setup                                          
2024-05-29 07:08:21: Creating Directories...done
2024-05-29 07:08:21: GPU support                                                           
2024-05-29 07:08:21: CUDA Present...No
2024-05-29 07:08:21: ROCm Present...No
2024-05-29 07:08:22: Checking for .NET 7.0...Checking SDKs...Upgrading: .NET is 0
2024-05-29 07:08:22: Current version is 0. Installing newer version.
2024-05-29 07:08:22: 'winget' is not recognized as an internal or external command,
2024-05-29 07:08:22: operable program or batch file.
2024-05-29 07:08:24: Reading ObjectDetectionYOLOv5-6.2 settings.......done
2024-05-29 07:08:24: Installing module Object Detection (YOLOv5 6.2) 1.9.1                 
2024-05-29 07:08:24: Installing Python 3.7
2024-05-29 07:08:32: Downloading Python 3.7 interpreter...Expanding...done.
2024-05-29 07:08:42: Creating Virtual Environment (Shared)...done
2024-05-29 07:08:42: Confirming we have Python 3.7 in our virtual environment...present
2024-05-29 07:09:24: Downloading Standard YOLO models...Expanding...done.
2024-05-29 07:09:25: Copying contents of models-yolo5-pt.zip to assets...done
2024-05-29 07:10:23: Downloading Custom YOLO models...Expanding...done.
2024-05-29 07:10:24: Copying contents of custom-models-yolo5-pt.zip to custom-models...done
2024-05-29 07:10:24: Installing Python packages for Object Detection (YOLOv5 6.2)
2024-05-29 07:10:24: [0;Installing GPU-enabled libraries: If available
2024-05-29 07:10:25: Ensuring Python package manager (pip) is installed...done
2024-05-29 07:10:35: Ensuring Python package manager (pip) is up to date...done
2024-05-29 07:10:35: Python packages specified by requirements.txt
2024-05-29 07:10:37:   - Installing urllib3, the HTTP client for Python...(âœ… checked) done
2024-05-29 07:10:51:   - Installing Pandas, a data analysis / data manipulation tool...(âœ… checked) done
2024-05-29 07:11:42:   - Installing CoreMLTools, for working with .mlmodel format models...(âœ… checked) done
2024-05-29 07:11:49:   - Installing OpenCV, the Open source Computer Vision library...(âœ… checked) done
2024-05-29 07:11:53:   - Installing Pillow, a Python Image Library...(âœ… checked) done
2024-05-29 07:12:04:   - Installing SciPy, a library for mathematics, science, and engineering...(âœ… checked) done
2024-05-29 07:12:05:   - Installing PyYAML, a library for reading configuration files...Already installed
2024-05-29 07:12:30:   - Installing PyTorch, for Tensor computation and Deep neural networks...(âœ… checked) done
2024-05-29 07:13:39:   - Installing TorchVision, for Computer Vision based AI...(âœ… checked) done
2024-05-29 07:15:24:   - Installing Ultralytics YoloV5 package for object detection in images...(âœ… checked) done
2024-05-29 07:15:26:   - Installing Seaborn, a data visualization library based on matplotlib...Already installed
2024-05-29 07:15:26: Installing Python packages for the CodeProject.AI Server SDK
2024-05-29 07:15:28: Ensuring Python package manager (pip) is installed...done
2024-05-29 07:15:31: Ensuring Python package manager (pip) is up to date...done
2024-05-29 07:15:31: Python packages specified by requirements.txt
2024-05-29 07:15:33:   - Installing Pillow, a Python Image Library...Already installed
2024-05-29 07:15:34:   - Installing Charset normalizer...Already installed
2024-05-29 07:15:40:   - Installing aiohttp, the Async IO HTTP library...(âœ… checked) done
2024-05-29 07:15:43:   - Installing aiofiles, the Async IO Files library...(âœ… checked) done
2024-05-29 07:15:46:   - Installing py-cpuinfo to allow us to query CPU info...(âœ… checked) done
2024-05-29 07:15:48:   - Installing Requests, the HTTP library...Already installed
2024-05-29 07:15:48: Scanning modulesettings for downloadable models...No models specified
2024-05-29 07:15:54: Fusing layers... 
2024-05-29 07:15:55: YOLOv5.1m summary: 391 layers, 21805053 parameters, 0 gradients
2024-05-29 07:15:55: Adding AutoShape... 
2024-05-29 07:15:56: Self test: Self-test passed
2024-05-29 07:15:56: Module setup time 00:07:33.99
2024-05-29 07:15:56: Setup complete                                                        
2024-05-29 07:15:56: Total setup time 00:07:35.51
Installer exited with code 0

I upgraded from CPAI ver 2.5.6 to CPAI version 2.6.5.
I installed version 2.6.5 on both the Windows machine that runs Blue Iris and the Linux machine.

Nothing has changed regarding Blue Iris on the Windows machine.

When I check the Use custom models checkbox on the AI tab, and restart the Blue Iris service, the custom models listbox does not populate.

This occurs when I have the Blue Iris AI pointed to the localhost and the linux machine.
Clicking the open AI dashboard link on the AI tab in Blue Iris opens the dashboard on either machine.
Selecting Default object detection on either machine works without issue. Only use custom models does not work.
Restarting the Blue Iris service has always been my go to to populate this listbox, as I believe it forces Blue Iris to call this from the API reference:

POST: http://localhost:32168/v1/vision/custom/list

In earliar versions, when I would restart the Blue Iris server service, I would see the list call in the CPAI server log.
In this version of CPAI (2.6.5) I do not see that call anywhere in the log.

Again, I did not change anything in Blue Iris since I installed the last stable version on about 5/2/2024.

Before I installed version 2.6.5 this morning, the listbox was being populated.

My understanding is that this will keep Blue Iris from using custom models.

I have restarted the Blue Iris server service and rebooted the Blue Iris machine multiple times with no good results.

It seems that I will need to roll back CPAI to version 2.5.6 to regain the custom models functionality.

Chris Maunder29-May-24 4:05

Re: CPAI ver 2.6.5 with Blue Iris ver 5.9.0.7 Blue Iris does not populate Custom Models listbox

29-May-24 4:05

Can you try hitting Ctrl+F5 on the dashboard just to ensure there's no browser caching issues?

cheers
Chris Maunder

Steve Winn29-May-24 4:20

Re: CPAI ver 2.6.5 with Blue Iris ver 5.9.0.7 Blue Iris does not populate Custom Models listbox

29-May-24 4:20

I can do that...

Steve Winn29-May-24 4:40

Re: CPAI ver 2.6.5 with Blue Iris ver 5.9.0.7 Blue Iris does not populate Custom Models listbox

29-May-24 4:40

After doing Ctrl-F5 in the browser on each machine. Windows and Linux

Works on the Windows machine (localhost) but not on the Linux machine.
With Use AI server on IP port: Localhost
Restart BI Service
Listbox populates.

With Use AI service on IP port: 192.168.1.27 (the Linux machine)
Restart BI service
Listbox is blank

Can you run the POST: http://localhost:32168/v1/vision/custom/list command from a browser?
Or do you need to use a programming language?
Just to see if it works. I've never tried it.

Chris Maunder30-May-24 6:41

Re: CPAI ver 2.6.5 with Blue Iris ver 5.9.0.7 Blue Iris does not populate Custom Models listbox

30-May-24 6:41

Postman is your friend!

Do a POST to localhost:32168/v1/vision/custom/list:

JSON

{
    "success": true,
    "models": [
        "ipcam-combined",
        "license-plate",
        "actionnetv2",
        "ipcam-dark",
        "ipcam-animal",
        "ipcam-general"
    ],
    "moduleId": "ObjectDetectionYOLOv5-6.2",
    "moduleName": "Object Detection (YOLOv5 6.2)",
    "code": 200,
    "command": "list-custom",
    "requestId": "35ead6ed-6eb8-4a5b-b7da-45833de826bc",
    "inferenceDevice": "CPU",
    "analysisRoundTripMs": 24668,
    "processedBy": "localhost",
    "timestampUTC": "Thu, 30 May 2024 16:39:59 GMT"
}

cheers
Chris Maunder

Steve Winn29-May-24 4:50

Since 2.6.2 DirectML detection stops working after a while

29-May-24 4:50

Then found that Blue Iris was doing nothing. All nothing found, no listbox contents.
Had to reboot the machine again.

johngianni 202328-May-24 23:30

johngianni 2023

28-May-24 23:30

I have a Dell PC with Blue Iris and CPAI for motion detection. It has been running very good with the Intel UHD 630 display adapter in DirectML mode until 2.6.2 version. I use .NET model.

The symptom is that after a random amount of time objects are no more detected. The only evidence I see in the logs is that the processing times pass from 150-200ms to 10-40ms ... No crash of the server.
License Plates reader stops as well. Same behavior with custom models.. Is there something I can investigate?
Thank you

Re: Since 2.6.2 DirectML detection stops working after a while

Sean Ewington29-May-24 5:43

Sean Ewington

29-May-24 5:43

Thanks very much for your report. Could you please share your System Info tab from your CodeProject.AI Server dashboard? Also, could you please share the logs from CodeProject.AI Server when the detections simply stop? And, when they do, are you able to still do a manual detection from the CodeProject.AI Server Explorer?

Thanks,
Sean Ewington
CodeProject

Re: Since 2.6.2 DirectML detection stops working after a while

johngianni 202330-May-24 3:54

johngianni 2023

30-May-24 3:54

Hi Thanks for coming back. Here's the System Info:

Server version:   2.6.5
System:           Windows
Operating System: Windows (Microsoft Windows 11 version 10.0.22631)
CPUs:             Intel(R) Core(TM) i7-9700 CPU @ 3.00GHz (Intel)
                  1 CPU x 8 cores. 8 logical processors (x64)
GPU (Primary):    Microsoft Remote Display Adapter (Microsoft) 
                  Driver: 10.0.22621.3593
System RAM:       16 GiB
Platform:         Windows
BuildConfig:      Release
Execution Env:    Native
Runtime Env:      Production
Runtimes installed:
  .NET runtime:     7.0.5
  .NET SDK:         Not found
  Default Python:   3.10.6
  Go:               Not found
  NodeJS:           18.16.1
  Rust:             Not found
Video adapter info:
  Microsoft Remote Display Adapter:
    Driver Version     10.0.22621.3593
    Video Processor    
  Intel(R) UHD Graphics 630:
    Driver Version     30.0.101.1692
    Video Processor    Intel(R) UHD Graphics Family
System GPU info:
  GPU 3D Usage       2%
  GPU RAM Usage      0
Global Environment variables:
  CPAI_APPROOTPATH = <root>
  CPAI_PORT        = 32168

In the logs there is nothing , just a reduction of ms in precessing the request. No errors. Don't know if there are more verbose logs stored somewhere on the disk.

Will try to use the explorer as soon as it happens again.
Thank you.

Re: Since 2.6.2 DirectML detection stops working after a while

Chris Maunder30-May-24 6:27