Solutions for Common Issues with Blue Iris and CodeProject.AI Server

Sean Ewington

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4 Nov 2022CPOL6 min read

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This article provides a single location for all Blue Iris and CodeProject.AI Server issues and their solutions.

I've been reading through the Blue Iris Facebook group, and the forums on Blue Iris, CodeProject.AI Server, and ipcamtalk. Every forum has different users reporting different issues and someone usually swoops in to help. But there is no central location for common issues and their solutions for users who are using Blue Iris and CodeProject.AI Server.

This article is meant to be a collection of all those issues and their solutions, for the more recent versions of Blue Iris and CodeProject.AI Server. This article will be continually added to and updated, in hopes to have a single location for all Blue Iris and CodeProject.AI Server issues and their solutions.

Error List

Unable to load model at C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\assets\yolov5m.pt
CodeProject.AI Server log shows requests every minute or less when there is no motion detection
Browser cannot open port 321678
CodeProject.AI Server and Python using a lot of system resources
Confirmed but nothing detected
CodeProject.AI Server in Docker Container Doesn't Respond to Requests
How Do I Resolve Error 500

Unable to load model at C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\assets\yolov5m.pt

This issue comes from the CodeProject.AI Server forums. In this post, the user encountered the following error on their CodeProject.AI Server console.

1:08:29 PM: Object Detection (YOLO): Unable to load model at C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\assets\yolov5m.pt (CUDA error: no kernel image is available for execution on the device
1:08:29 PM: Object Detection (YOLO): Unable to create YOLO detector for model yolov5m

The user was using an NVIDIA GeForce GTX 660, with driver version 30.0.14.73481. This card has compute capability 3.0 which, at the time of the message's posting was below what CodeProject.AI Server supported. However, this user was also trying to use YOLO detection, which only works for custom models. The fix for this is to go to the CodeProject.AI Server dashboard, stop Object Detection (YOLO) by clicking the three dots next to it on the dashboard, selecting Stop, then going to Object Detection (.NET), clicking on the the three dots and choosing Start.

CodeProject.AI Server log shows requests every minute or less when there is no motion detection

This issue also comes from theCodeProject.AI Server forums. In this instance the user was seeing requests in the CodeProject.AI Server log every minute or less when there was no motion detection.

Within Blue Iris there is an option within the AI tab in the camera settings panel called "Detect/Ignore static objects" where Blue Iris checks for static objects. If this box is checked, there will be a steady stream of requests in the CodeProject.AI Server log, because Blue Iris is constantly checking for static objects. Unchecking the "Detect/Ignore static objects" box and hitting OK resolves the issue.

Browser cannot open port 321678

In this issue on the CodeProject.AI Server forum, a user could not access http://localhost:32168 and was unable to launch CodeProject.AI Server in their browser.

To resolve this issue, a user recommended using netstat to see if that port was listening. The user was using Windows. To do this, hit the Win + R keys on the keyboard to open the Run window, then type cmd to open the CMD prompt. From there, type netstat -ano -p tcp. This opens a list of all ports and indicates which ports are listening.

For this user, port 32168 did not show up on the list at all. The fix was to go to Windows services and start or restart CodeProject.AI Server. To do this, hit the Win + R keys on the keyboard to open the Run window, then type services.msc. This opens Windows services. Scroll down to CodeProject.AI Server and hit the "Start Service" button. CodeProject.AI Server then launches successfully.

CodeProject.AI Server and Python using a lot of system resources

This issue comes fom the Blue Iris User Group on Facebook (note: it is a private group). This user reported that their CPU system resources were hitting 20%.

They provided an image of their CodeProject.AI Server dashboard and they were running both Object Detection (.NET) and Object Detection (YOLO). These two modules were not meant to be used in unison. The solution is simply to turn Object Detection (YOLO) off. Go to the CodeProject.AI Server dashboard, click the three dots next to it on the dashboard, and select Stop.

Confirmed but nothing detected

This issue comes from the Blue Iris forums. In this instance Blue Iris detects motion but does not recognize anything. Blue Iris logs it as "Confirmed", but according to CodeProject.AI Server, nothing is found. The user wants to know why CodeProject.AI Server does not cancel this if nothing is found.

The solution comes from the ipcamtalk forums. In the global AI tab on the camera settings, there is a field "To cancel." Using "Nothing found:0" in the "To cancel" box eliminates (green) "Nothing found" from the Confirmed alerts list. It forces the AI to search through all the images in an alert to select the best one.

CodeProject.AI Server in Docker Container Doesn't Respond to Requests

In this setup, a user has CodeProject.AI running in a Docker container. CodeProject.AI loads, the web interface can be accessed, it can ping the Blue Iris server, but CodeProject.AI in both the Explorer and Blue Iris, just time out for detection requests and generate no logs.

If this is happening for you, here's a few items you might try:

Are there any firewall rules stopping POST requests to the CodeProject.AI server? You can obviously make GET calls in order to view the UI, and get updates.

If you see a decent set of logs then it means the backend modules can contact the front end server
If you can see any logs then it means the machine you're running the Explorer on can access the CodeProject.AI machine
Move the log detail slider all the way to the right to show Trace. If you see any "request from queue processing" type messages then it means requests are getting to the modules.
If you're seeing timeouts then either the modules are having issues returning values, or the modules are simply timing out does the dashboard show a object detection module running (green band)?
If you're at this point, maybe try stopping one object detection module and switching to another (eg try the .NET instead of the Python or vice versa)

How Do I Resolve Error 500

With CodeProject.AI Server 2.1.6, we saw a number of Blue Iris users report getting Error 500 in their Blue Iris logs.

After a lot of error reporting (thank you all!) we've been working with Ken at Blue Iris and are hopeful to have a resolution for error 500.

Short version: try the latest Blue Iris release, version 5.7.5.6. Should resolve it.

Long version: The error 500 issue revolves around how Blue Iris processes Face Processing requests and responses. There's no "error," rather Blue Iris is passing images to face recognition when there's no detectable face, and CodeProject.AI returns success = false (and code = 500) as a result. The call was made, the image processed, but the recognition processing failed because there's no face to recognise.

Purely an issue around what constitutes success and failure.

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Sean Ewington

Technical Writer CodeProject

Canada

Sean Ewington is the Content Manager for CodeProject.

His background in programming is primarily C++ and HTML, but has experience in other, "unsavoury" languages.

He loves movies, and likes to say inconceivable often, even if it does not mean what he thinks it means.

Comments and Discussions

from blue iris
3 9/11/2023 7:41:47.138 PM GarageDoor MOTION_A
2 9/11/2023 7:41:49.771 PM GarageDoor AI: not responding
2 9/11/2023 7:41:49.826 PM GarageDoor AI: not responding
2 9/11/2023 7:41:50.172 PM GarageDoor AI: not responding
2 9/11/2023 7:41:51.025 PM GarageDoor AI: not responding
1 9/11/2023 7:41:51.031 PM GarageDoor AI: Alert canceled [AI: not responding] 0ms

code
2023-09-12 15:36:31: ** Operating System: Windows (Microsoft Windows 11 version 10.0.22000)
2023-09-12 15:36:31: ** CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
2023-09-12 15:36:31: ** 1 CPU x 4 cores. 8 logical processors (x64)
2023-09-12 15:36:31: ** GPU: Intel(R) HD Graphics 530 (1,024 MiB) (Intel Corporation)
2023-09-12 15:36:31: ** Driver: 31.0.101.2111
2023-09-12 15:36:31: ** System RAM: 32 GiB
2023-09-12 15:36:31: ** Target: Windows
2023-09-12 15:36:31: ** BuildConfig: Release
2023-09-12 15:36:31: ** Execution Env: Native
2023-09-12 15:36:31: ** Runtime Env: Production
2023-09-12 15:36:31: ** .NET framework: .NET 7.0.10
2023-09-12 15:36:31: ** App DataDir: C:\ProgramData\CodeProject\AI
2023-09-12 15:36:31: Video adapter info:
2023-09-12 15:36:31: Intel(R) HD Graphics 530:
2023-09-12 15:36:31: Driver Version 31.0.101.2111
2023-09-12 15:36:31: Video Processor Intel(R) HD Graphics Family
2023-09-12 15:36:31: ROOT_PATH = C:\Program Files\CodeProject\AI
2023-09-12 15:36:31: RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
2023-09-12 15:36:31: PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
2023-09-12 15:36:31: MODULES_PATH = C:\Program Files\CodeProject\AI\modules
2023-09-12 15:36:31: PYTHON_PATH = \bin\windows\%PYTHON_RUNTIME%\venv\scripts\Python
2023-09-12 15:36:31: Data Dir = C:\ProgramData\CodeProject\AI
2023-09-12 15:36:31: ** Server version: 2.1.11-Beta
2023-09-12 15:36:31: ModuleRunner Start
2023-09-12 15:36:31: Starting Background AI Modules
2023-09-12 15:36:34: GetCommandByRuntime: Runtime=python37, Location=Shared
2023-09-12 15:36:34: Command: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\scripts\Python
2023-09-12 15:36:34:
2023-09-12 15:36:34: 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"
2023-09-12 15:36:34: Starting C:\Program Files...ws\python37\venv\scripts\Python "C:\Program Files...ing\intelligencelayer\face.py"
2023-09-12 15:36:34:
2023-09-12 15:36:34: ** Module 'Face Processing' (ID: FaceProcessing)
2023-09-12 15:36:34: ** Module Path: C:\Program Files\CodeProject\AI\modules\FaceProcessing
2023-09-12 15:36:34: ** AutoStart: True
2023-09-12 15:36:34: ** Queue: faceprocessing_queue
2023-09-12 15:36:34: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-09-12 15:36:34: ** GPU: Support enabled
2023-09-12 15:36:34: ** Parallelism: 0
2023-09-12 15:36:34: ** Accelerator:
2023-09-12 15:36:34: ** Half Precis.: enable
2023-09-12 15:36:34: ** Runtime: python37
2023-09-12 15:36:34: ** Runtime Loc: Shared
2023-09-12 15:36:34: ** FilePath: intelligencelayer\face.py
2023-09-12 15:36:34: ** Pre installed: False
2023-09-12 15:36:34: ** Start pause: 1 sec
2023-09-12 15:36:34: ** LogVerbosity:
2023-09-12 15:36:34: ** Valid: True
2023-09-12 15:36:34: ** Environment Variables
2023-09-12 15:36:34: ** APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
2023-09-12 15:36:34: ** CPAI_HALF_PRECISION = enable
2023-09-12 15:36:34: ** DATA_DIR = %DATA_DIR%
2023-09-12 15:36:34: ** MODE = MEDIUM
2023-09-12 15:36:34: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-09-12 15:36:34: ** PROFILE = desktop_gpu
2023-09-12 15:36:34: ** USE_CUDA = True
2023-09-12 15:36:34: ** YOLOv5_AUTOINSTALL = false
2023-09-12 15:36:34: ** YOLOv5_VERBOSE = false
2023-09-12 15:36:34:
2023-09-12 15:36:34: Started Face Processing module
2023-09-12 15:36:35: GetCommandByRuntime: Runtime=execute, Location=Shared
2023-09-12 15:36:35: Command: execute
2023-09-12 15:36:35:
2023-09-12 15:36:35: Attempting to start ObjectDetectionNet with C:\Program Files\CodeProject\AI\modules\ObjectDetectionNet\ObjectDetectionNet.exe
2023-09-12 15:36:35: Starting C:\Program Files...ctionNet\ObjectDetectionNet.exe
2023-09-12 15:36:35:
2023-09-12 15:36:35: ** Module 'Object Detection (YOLOv5 .NET)' (ID: ObjectDetectionNet)
2023-09-12 15:36:35: ** Module Path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionNet
2023-09-12 15:36:35: ** AutoStart: True
2023-09-12 15:36:35: ** Queue: objectdetection_queue
2023-09-12 15:36:35: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-09-12 15:36:35: ** GPU: Support enabled
2023-09-12 15:36:35: ** Parallelism: 0
2023-09-12 15:36:35: ** Accelerator:
2023-09-12 15:36:35: ** Half Precis.: enable
2023-09-12 15:36:35: ** Runtime: execute
2023-09-12 15:36:35: ** Runtime Loc: Shared
2023-09-12 15:36:35: ** FilePath: ObjectDetectionNet.exe
2023-09-12 15:36:35: ** Pre installed: False
2023-09-12 15:36:35: ** Start pause: 1 sec
2023-09-12 15:36:35: ** LogVerbosity:
2023-09-12 15:36:35: ** Valid: True
2023-09-12 15:36:35: ** Environment Variables
2023-09-12 15:36:35: ** CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%\custom-models
2023-09-12 15:36:35: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-09-12 15:36:35: ** MODEL_SIZE = MEDIUM
2023-09-12 15:36:35:
2023-09-12 15:36:35: Started Object Detection (YOLOv5 .NET) module
2023-09-12 15:36:36: ObjectDetectionNet.exe: Application started. Press Ctrl+C to shut down.
2023-09-12 15:36:36: ObjectDetectionNet.exe: Hosting environment: Production
2023-09-12 15:36:36: ObjectDetectionNet.exe: Content root path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionNet
2023-09-12 15:36:37: ObjectDetectionNet.exe: CodeProject.AI.Modules.ObjectDetection.Yolo.ObjectDetector[0]
2023-09-12 15:36:37: ObjectDetectionNet.exe: Please ensure you don't enable this module along side any other Object Detection module using the 'vision/detection' route and 'objectdetection_queue' queue (eg. ObjectDetectionYolo). There will be conflicts
2023-09-12 15:36:37: Object Detection (YOLOv5 .NET): Object Detection (YOLOv5 .NET) module started. in Object Detection (YOLOv5 .NET)
2023-09-12 15:36:48: Running init for Face Processing
2023-09-12 15:36:48: face.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
2023-09-12 15:36:48: face.py: Vision AI services setup: Retrieving environment variables...
2023-09-12 15:36:48: face.py: USE_MPS not found. Setting to default True
2023-09-12 15:36:48: face.py: APPDIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer
2023-09-12 15:36:48: face.py: PROFILE: desktop_cpu
2023-09-12 15:36:48: face.py: USE_CUDA: False
2023-09-12 15:36:48: face.py: DATA_DIR: C:\ProgramData\CodeProject\AI
2023-09-12 15:36:48: face.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\assets
2023-09-12 15:36:48: face.py: MODE: MEDIUM
2023-09-12 15:36:48: Face Processing: Face Processing started. in Face Processing
2023-09-12 17:32:24: ModuleRunner Stop
2023-09-12 17:32:24: Sending shutdown request to python/FaceProcessing
2023-09-12 17:32:24: Client request 'Quit' in queue 'faceprocessing_queue' (#reqid f7ddaaed-bf71-4efb-8527-b18b7f75cc77)
2023-09-12 17:32:24: ObjectDetectionYolo doesn't appear in the Process list, so can't stop it.
2023-09-12 17:32:24: Sending shutdown request to ObjectDetectionNet/ObjectDetectionNet
2023-09-12 17:32:24: Client request 'Quit' in queue 'objectdetection_queue' (#reqid d8771b66-2940-43a1-9c06-9ae385d48383)
2023-09-12 17:32:27: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-09-12 17:32:27: ObjectDetectionNet.exe: Pausing on error for 5 secs.
2023-09-12 17:32:27: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-09-12 17:32:27: ObjectDetectionNet.exe: Pausing on error for 10 secs.
2023-09-12 17:32:27: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-09-12 17:32:27: ObjectDetectionNet.exe: Pausing on error for 20 secs.
2023-09-12 17:32:27: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-09-12 17:32:27: ObjectDetectionNet.exe: Pausing on error for 40 secs.
2023-09-12 17:32:36: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-09-12 17:32:36: ObjectDetectionNet.exe: Pausing on error for 60 secs.
2023-09-12 17:32:41: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-09-12 17:32:41: ObjectDetectionNet.exe: Pausing on error for 60 secs.
2023-09-12 17:32:51: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-09-12 17:32:51: ObjectDetectionNet.exe: Pausing on error for 60 secs.
2023-09-12 17:32:57: Forcing shutdown of ObjectDetectionNet/ObjectDetectionNet
2023-09-12 17:32:57: Forcing shutdown of python/FaceProcessing
2023-09-12 17:32:57: ** Module FaceProcessing has shutdown
2023-09-12 17:32:57: ** Module ObjectDetectionNet has shutdown
2023-09-12 17:32:57: ObjectDetectionNet.exe: has exited
2023-09-12 17:32:57: Waiting for ObjectDetectionNet to end.
2023-09-12 17:32:57: ObjectDetectionNet ended after 1 ms
2023-09-12 17:32:57: Waiting for FaceProcessing to end.
2023-09-12 17:32:57: face.py: has exited
2023-09-12 17:32:57: FaceProcessing ended after 1 ms
2023-09-12 17:37:14: ** Operating System: Windows (Microsoft Windows 11 version 10.0.22000)
2023-09-12 17:37:14: ** CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
2023-09-12 17:37:14: ** 1 CPU x 4 cores. 8 logical processors (x64)
2023-09-12 17:37:14: ** GPU: Microsoft Remote Display Adapter (Microsoft)
2023-09-12 17:37:14: ** Driver: 10.0.22000.1042
2023-09-12 17:37:14: ** System RAM: 32 GiB
2023-09-12 17:37:14: ** Target: Windows
2023-09-12 17:37:14: ** BuildConfig: Release
2023-09-12 17:37:14: ** Execution Env: Native
2023-09-12 17:37:14: ** Runtime Env: Production
2023-09-12 17:37:14: ** .NET framework: .NET 7.0.10
2023-09-12 17:37:14: ** App DataDir: C:\ProgramData\CodeProject\AI
2023-09-12 17:37:14: Video adapter info:
2023-09-12 17:37:14: Microsoft Remote Display Adapter:
2023-09-12 17:37:14: Driver Version 10.0.22000.1042
2023-09-12 17:37:14: Video Processor
2023-09-12 17:37:14: Intel(R) HD Graphics 530:
2023-09-12 17:37:14: Driver Version 31.0.101.2111
2023-09-12 17:37:14: Video Processor Intel(R) HD Graphics Family
2023-09-12 17:37:14: ROOT_PATH = C:\Program Files\CodeProject\AI
2023-09-12 17:37:14: RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
2023-09-12 17:37:14: PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
2023-09-12 17:37:14: MODULES_PATH = C:\Program Files\CodeProject\AI\modules
2023-09-12 17:37:14: PYTHON_PATH = \bin\windows\%PYTHON_RUNTIME%\venv\scripts\Python
2023-09-12 17:37:14: Data Dir = C:\ProgramData\CodeProject\AI
2023-09-12 17:37:14: ** Server version: 2.1.11-Beta
2023-09-12 17:37:14: ModuleRunner Start
2023-09-12 17:37:14: Starting Background AI Modules
2023-09-12 17:37:17: GetCommandByRuntime: Runtime=python37, Location=Shared
2023-09-12 17:37:17: Command: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\scripts\Python
2023-09-12 17:37:17:
2023-09-12 17:37:17: 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"
2023-09-12 17:37:17: Starting C:\Program Files...ws\python37\venv\scripts\Python "C:\Program Files...tectionYolo\detect_adapter.py"
2023-09-12 17:37:17:
2023-09-12 17:37:17: ** Module 'Object Detection (YOLOv5 6.2)' (ID: ObjectDetectionYolo)
2023-09-12 17:37:17: ** Module Path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
2023-09-12 17:37:17: ** AutoStart: True
2023-09-12 17:37:17: ** Queue: objectdetection_queue
2023-09-12 17:37:17: ** Platforms: all
2023-09-12 17:37:17: ** GPU: Support enabled
2023-09-12 17:37:17: ** Parallelism: 0
2023-09-12 17:37:17: ** Accelerator:
2023-09-12 17:37:17: ** Half Precis.: enable
2023-09-12 17:37:17: ** Runtime: python37
2023-09-12 17:37:17: ** Runtime Loc: Shared
2023-09-12 17:37:17: ** FilePath: detect_adapter.py
2023-09-12 17:37:17: ** Pre installed: False
2023-09-12 17:37:17: ** Start pause: 1 sec
2023-09-12 17:37:17: ** LogVerbosity:
2023-09-12 17:37:17: ** Valid: True
2023-09-12 17:37:17: ** Environment Variables
2023-09-12 17:37:17: ** APPDIR = %CURRENT_MODULE_PATH%
2023-09-12 17:37:17: ** CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%/custom-models
2023-09-12 17:37:17: ** MODELS_DIR = %CURRENT_MODULE_PATH%/assets
2023-09-12 17:37:17: ** MODEL_SIZE = Medium
2023-09-12 17:37:17: ** USE_CUDA = True
2023-09-12 17:37:17: ** YOLOv5_AUTOINSTALL = false
2023-09-12 17:37:17: ** YOLOv5_VERBOSE = false
2023-09-12 17:37:17:
2023-09-12 17:37:17: Started Object Detection (YOLOv5 6.2) module
2023-09-12 17:37:18: GetCommandByRuntime: Runtime=python37, Location=Shared
2023-09-12 17:37:18: Command: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\scripts\Python
2023-09-12 17:37:18:
2023-09-12 17:37:18: 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"
2023-09-12 17:37:18: Starting C:\Program Files...ws\python37\venv\scripts\Python "C:\Program Files...ing\intelligencelayer\face.py"
2023-09-12 17:37:18:
2023-09-12 17:37:18: ** Module 'Face Processing' (ID: FaceProcessing)
2023-09-12 17:37:18: ** Module Path: C:\Program Files\CodeProject\AI\modules\FaceProcessing
2023-09-12 17:37:18: ** AutoStart: True
2023-09-12 17:37:18: ** Queue: faceprocessing_queue
2023-09-12 17:37:18: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-09-12 17:37:18: ** GPU: Support enabled
2023-09-12 17:37:18: ** Parallelism: 0
2023-09-12 17:37:18: ** Accelerator:
2023-09-12 17:37:18: ** Half Precis.: enable
2023-09-12 17:37:18: ** Runtime: python37
2023-09-12 17:37:18: ** Runtime Loc: Shared
2023-09-12 17:37:18: ** FilePath: intelligencelayer\face.py
2023-09-12 17:37:18: ** Pre installed: False
2023-09-12 17:37:18: ** Start pause: 1 sec
2023-09-12 17:37:18: ** LogVerbosity:
2023-09-12 17:37:18: ** Valid: True
2023-09-12 17:37:18: ** Environment Variables
2023-09-12 17:37:18: ** APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
2023-09-12 17:37:18: ** DATA_DIR = %DATA_DIR%
2023-09-12 17:37:18: ** MODE = MEDIUM
2023-09-12 17:37:18: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-09-12 17:37:18: ** PROFILE = desktop_gpu
2023-09-12 17:37:18: ** USE_CUDA = True
2023-09-12 17:37:18: ** YOLOv5_AUTOINSTALL = false
2023-09-12 17:37:18: ** YOLOv5_VERBOSE = false
2023-09-12 17:37:18:
2023-09-12 17:37:18: Started Face Processing module
2023-09-12 17:37:19: ** Setting up initial modules. Please be patient...
2023-09-12 17:37:19: ** Installing initial module FaceProcessing.
2023-09-12 17:37:19: Preparing to install module 'FaceProcessing'
2023-09-12 17:37:19: Current Version is 2.1.11-Beta
2023-09-12 17:37:19: Server: This is the latest version
2023-09-12 17:37:19: Unable to install FaceProcessing: FaceProcessing is already installed
2023-09-12 17:37:19: ** Installing initial module ObjectDetectionNet.
2023-09-12 17:37:19: Preparing to install module 'ObjectDetectionNet'
2023-09-12 17:37:19: Unable to install ObjectDetectionNet: ObjectDetectionNet is already installed
2023-09-12 17:37:19: ** Installing initial module ObjectDetectionYolo.
2023-09-12 17:37:19: Preparing to install module 'ObjectDetectionYolo'
2023-09-12 17:37:19: Unable to install ObjectDetectionYolo: ObjectDetectionYolo is already installed
2023-09-12 17:37:23: face.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
2023-09-12 17:37:23: face.py: Vision AI services setup: Retrieving environment variables...
2023-09-12 17:37:23: face.py: USE_MPS not found. Setting to default True
2023-09-12 17:37:23: face.py: APPDIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer
2023-09-12 17:37:23: face.py: PROFILE: desktop_cpu
2023-09-12 17:37:23: face.py: USE_CUDA: False
2023-09-12 17:37:23: face.py: DATA_DIR: C:\ProgramData\CodeProject\AI
2023-09-12 17:37:23: face.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\assets
2023-09-12 17:37:23: face.py: MODE: MEDIUM
2023-09-12 17:37:23: detect_adapter.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
2023-09-12 17:37:23: detect_adapter.py: APPDIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
2023-09-12 17:37:23: detect_adapter.py: MODEL_SIZE: medium
2023-09-12 17:37:23: detect_adapter.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\assets
2023-09-12 17:37:23: Running init for Face Processing
2023-09-12 17:37:23: Running init for Object Detection (YOLOv5 6.2)
2023-09-12 17:37:23: Object Detection (YOLOv5 6.2): Object Detection (YOLOv5 6.2) started. in Object Detection (YOLOv5 6.2)
2023-09-12 17:37:23: Face Processing: Face Processing started. in Face Processing
2023-09-12 17:37:43: ModuleRunner Stop
2023-09-12 17:37:43: Sending shutdown request to python/ObjectDetectionYolo
2023-09-12 17:37:43: Client request 'Quit' in queue 'objectdetection_queue' (#reqid 3a4a7294-9c74-4c0a-acc3-fe82477e148f)
2023-09-12 17:37:43: ObjectDetectionNet doesn't appear in the Process list, so can't stop it.
2023-09-12 17:37:43: Sending shutdown request to python/FaceProcessing
2023-09-12 17:37:43: Client request 'Quit' in queue 'faceprocessing_queue' (#reqid 2db67dd3-ccf2-4852-a39d-f1de2c5d8332)
2023-09-12 17:38:16: Forcing shutdown of python/FaceProcessing
2023-09-12 17:38:16: Forcing shutdown of python/ObjectDetectionYolo
2023-09-12 17:38:16: ** Module ObjectDetectionYolo has shutdown
2023-09-12 17:38:16: ** Module FaceProcessing has shutdown
2023-09-12 17:38:16: Waiting for FaceProcessing to end.
2023-09-12 17:38:16: Waiting for ObjectDetectionYolo to end.
2023-09-12 17:38:16: face.py: has exited
2023-09-12 17:38:16: detect_adapter.py: has exited
2023-09-12 17:38:16: ObjectDetectionYolo ended after 3 ms
2023-09-12 17:38:16: FaceProcessing ended after 3 ms
2023-09-12 17:38:18: ** Operating System: Windows (Microsoft Windows 11 version 10.0.22000)
2023-09-12 17:38:18: ** CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
2023-09-12 17:38:18: ** 1 CPU x 4 cores. 8 logical processors (x64)
2023-09-12 17:38:18: ** GPU: Microsoft Remote Display Adapter (Microsoft)
2023-09-12 17:38:18: ** Driver: 10.0.22000.1042
2023-09-12 17:38:18: ** System RAM: 32 GiB
2023-09-12 17:38:18: ** Target: Windows
2023-09-12 17:38:18: ** BuildConfig: Release
2023-09-12 17:38:18: ** Execution Env: Native
2023-09-12 17:38:18: ** Runtime Env: Production
2023-09-12 17:38:18: ** .NET framework: .NET 7.0.10
2023-09-12 17:38:18: ** App DataDir: C:\ProgramData\CodeProject\AI
2023-09-12 17:38:18: Video adapter info:
2023-09-12 17:38:18: Microsoft Remote Display Adapter:
2023-09-12 17:38:18: Driver Version 10.0.22000.1042
2023-09-12 17:38:18: Video Processor
2023-09-12 17:38:18: Intel(R) HD Graphics 530:
2023-09-12 17:38:18: Driver Version 31.0.101.2111
2023-09-12 17:38:18: Video Processor Intel(R) HD Graphics Family
2023-09-12 17:38:18: ROOT_PATH = C:\Program Files\CodeProject\AI
2023-09-12 17:38:18: RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
2023-09-12 17:38:18: PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
2023-09-12 17:38:18: MODULES_PATH = C:\Program Files\CodeProject\AI\modules
2023-09-12 17:38:18: PYTHON_PATH = \bin\windows\%PYTHON_RUNTIME%\venv\scripts\Python
2023-09-12 17:38:18: Data Dir = C:\ProgramData\CodeProject\AI
2023-09-12 17:38:18: ** Server version: 2.1.11-Beta
2023-09-12 17:38:18: ModuleRunner Start
2023-09-12 17:38:18: Starting Background AI Modules
2023-09-12 17:38:21: GetCommandByRuntime: Runtime=python37, Location=Shared
2023-09-12 17:38:21: Command: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\scripts\Python
2023-09-12 17:38:21:
2023-09-12 17:38:21: 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"
2023-09-12 17:38:21: Starting C:\Program Files...ws\python37\venv\scripts\Python "C:\Program Files...ing\intelligencelayer\face.py"
2023-09-12 17:38:21:
2023-09-12 17:38:21: ** Module 'Face Processing' (ID: FaceProcessing)
2023-09-12 17:38:21: ** Module Path: C:\Program Files\CodeProject\AI\modules\FaceProcessing
2023-09-12 17:38:21: ** AutoStart: True
2023-09-12 17:38:21: ** Queue: faceprocessing_queue
2023-09-12 17:38:21: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-09-12 17:38:21: ** GPU: Support enabled
2023-09-12 17:38:21: ** Parallelism: 0
2023-09-12 17:38:21: ** Accelerator:
2023-09-12 17:38:21: ** Half Precis.: enable
2023-09-12 17:38:21: ** Runtime: python37
2023-09-12 17:38:21: ** Runtime Loc: Shared
2023-09-12 17:38:21: ** FilePath: intelligencelayer\face.py
2023-09-12 17:38:21: ** Pre installed: False
2023-09-12 17:38:21: ** Start pause: 1 sec
2023-09-12 17:38:21: ** LogVerbosity:
2023-09-12 17:38:21: ** Valid: True
2023-09-12 17:38:21: ** Environment Variables
2023-09-12 17:38:21: ** APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
2023-09-12 17:38:21: ** DATA_DIR = %DATA_DIR%
2023-09-12 17:38:21: ** MODE = MEDIUM
2023-09-12 17:38:21: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-09-12 17:38:21: ** PROFILE = desktop_gpu
2023-09-12 17:38:21: ** USE_CUDA = True
2023-09-12 17:38:22: ** YOLOv5_AUTOINSTALL = false
2023-09-12 17:38:22: ** YOLOv5_VERBOSE = false
2023-09-12 17:38:22:
2023-09-12 17:38:22: Started Face Processing module
2023-09-12 17:38:23: GetCommandByRuntime: Runtime=python37, Location=Shared
2023-09-12 17:38:23: Command: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\scripts\Python
2023-09-12 17:38:23:
2023-09-12 17:38:23: 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"
2023-09-12 17:38:23: Starting C:\Program Files...ws\python37\venv\scripts\Python "C:\Program Files...tectionYolo\detect_adapter.py"
2023-09-12 17:38:23:
2023-09-12 17:38:23: ** Module 'Object Detection (YOLOv5 6.2)' (ID: ObjectDetectionYolo)
2023-09-12 17:38:23: ** Module Path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
2023-09-12 17:38:23: ** AutoStart: True
2023-09-12 17:38:23: ** Queue: objectdetection_queue
2023-09-12 17:38:23: ** Platforms: all
2023-09-12 17:38:23: ** GPU: Support enabled
2023-09-12 17:38:23: ** Parallelism: 0
2023-09-12 17:38:23: ** Accelerator:
2023-09-12 17:38:23: ** Half Precis.: enable
2023-09-12 17:38:23: ** Runtime: python37
2023-09-12 17:38:23: ** Runtime Loc: Shared
2023-09-12 17:38:23: ** FilePath: detect_adapter.py
2023-09-12 17:38:23: ** Pre installed: False
2023-09-12 17:38:23: ** Start pause: 1 sec
2023-09-12 17:38:23: ** LogVerbosity:
2023-09-12 17:38:23: ** Valid: True
2023-09-12 17:38:23: ** Environment Variables
2023-09-12 17:38:23: ** APPDIR = %CURRENT_MODULE_PATH%
2023-09-12 17:38:23: ** CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%/custom-models
2023-09-12 17:38:23: ** MODELS_DIR = %CURRENT_MODULE_PATH%/assets
2023-09-12 17:38:23: ** MODEL_SIZE = Medium
2023-09-12 17:38:23: ** USE_CUDA = True
2023-09-12 17:38:23: ** YOLOv5_AUTOINSTALL = false
2023-09-12 17:38:23: ** YOLOv5_VERBOSE = false
2023-09-12 17:38:23:
2023-09-12 17:38:23: Started Object Detection (YOLOv5 6.2) module
2023-09-12 17:38:24: Current Version is 2.1.11-Beta
2023-09-12 17:38:24: Server: This is the latest version
2023-09-12 17:38:26: face.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
2023-09-12 17:38:26: face.py: Vision AI services setup: Retrieving environment variables...
2023-09-12 17:38:26: face.py: USE_MPS not found. Setting to default True
2023-09-12 17:38:26: face.py: APPDIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer
2023-09-12 17:38:26: face.py: PROFILE: desktop_cpu
2023-09-12 17:38:26: face.py: USE_CUDA: False
2023-09-12 17:38:26: face.py: DATA_DIR: C:\ProgramData\CodeProject\AI
2023-09-12 17:38:26: face.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\assets
2023-09-12 17:38:26: face.py: MODE: MEDIUM
2023-09-12 17:38:26: Running init for Face Processing
2023-09-12 17:38:26: Face Processing: Face Processing started. in Face Processing
2023-09-12 17:38:28: detect_adapter.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
2023-09-12 17:38:28: detect_adapter.py: APPDIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
2023-09-12 17:38:28: detect_adapter.py: MODEL_SIZE: medium
2023-09-12 17:38:28: detect_adapter.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\assets
2023-09-12 17:38:28: Running init for Object Detection (YOLOv5 6.2)
2023-09-12 17:38:28: Object Detection (YOLOv5 6.2): Object Detection (YOLOv5 6.2) started. in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:38: Client request 'list-custom' in queue 'objectdetection_queue' (#reqid 3107ad99-146e-4bc2-a3ae-cb9373bc3183)
2023-09-12 17:40:38: Request 'list-custom' dequeued from 'objectdetection_queue' (#reqid 3107ad99-146e-4bc2-a3ae-cb9373bc3183)
2023-09-12 17:40:38: Request 'list-custom' dequeued from 'objectdetection_queue' (#reqid 8a4d706c-6f13-4a6c-9f6f-6a336b6b9a91)
2023-09-12 17:40:38: Client request 'list-custom' in queue 'objectdetection_queue' (#reqid 8a4d706c-6f13-4a6c-9f6f-6a336b6b9a91)
2023-09-12 17:40:38: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:38: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:38: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'list-custom' (#reqid 3107ad99-146e-4bc2-a3ae-cb9373bc3183) took 4ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:38: Response received (#reqid 3107ad99-146e-4bc2-a3ae-cb9373bc3183)
2023-09-12 17:40:38: Response received (#reqid 8a4d706c-6f13-4a6c-9f6f-6a336b6b9a91)
2023-09-12 17:40:38: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'list-custom' (#reqid 8a4d706c-6f13-4a6c-9f6f-6a336b6b9a91) took 2ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:43: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 9bd10e27-6b08-4d8d-8289-1447d2928364)
2023-09-12 17:40:43: Client request 'detect' in queue 'objectdetection_queue' (#reqid 9bd10e27-6b08-4d8d-8289-1447d2928364)
2023-09-12 17:40:43: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:44: Object Detection (YOLOv5 6.2): Model Path is C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\assets\yolov5m.pt in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:44: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (#reqid 9bd10e27-6b08-4d8d-8289-1447d2928364) took 1125ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:44: Response received (#reqid 9bd10e27-6b08-4d8d-8289-1447d2928364): Found car, car, car
2023-09-12 17:40:51: Client request 'custom' in queue 'objectdetection_queue' (#reqid a69adad4-0e33-4e3f-a27e-f6b584a8c03c)
2023-09-12 17:40:51: Request 'custom' dequeued from 'objectdetection_queue' (#reqid a69adad4-0e33-4e3f-a27e-f6b584a8c03c)
2023-09-12 17:40:51: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:53: Object Detection (YOLOv5 6.2): Detecting using actionnetv2 in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:53: Object Detection (YOLOv5 6.2): Model Path is C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\custom-models\actionnetv2.pt in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:53: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (#reqid a69adad4-0e33-4e3f-a27e-f6b584a8c03c) took 2084ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:53: Response received (#reqid a69adad4-0e33-4e3f-a27e-f6b584a8c03c): Found sleeping
2023-09-12 17:40:58: Client request 'custom' in queue 'objectdetection_queue' (#reqid 2a0e862e-2415-4b92-82ba-d7e1f102a0be)
2023-09-12 17:40:58: Request 'custom' dequeued from 'objectdetection_queue' (#reqid 2a0e862e-2415-4b92-82ba-d7e1f102a0be)
2023-09-12 17:40:58: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:58: Object Detection (YOLOv5 6.2): Detecting using ipcam-combined in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:58: Response received (#reqid 2a0e862e-2415-4b92-82ba-d7e1f102a0be): Found car, car, car
2023-09-12 17:40:58: Object Detection (YOLOv5 6.2): Model Path is C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\custom-models\ipcam-combined.pt in Object Detection (YOLOv5 6.2)
2023-09-12 17:40:58: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (#reqid 2a0e862e-2415-4b92-82ba-d7e1f102a0be) took 362ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:41:00: Request 'detect' dequeued from 'objectdetection_queue' (#reqid bdfe0be2-98f0-4c9f-b317-f60c2c55a528)
2023-09-12 17:41:00: Client request 'detect' in queue 'objectdetection_queue' (#reqid bdfe0be2-98f0-4c9f-b317-f60c2c55a528)
2023-09-12 17:41:00: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:41:01: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (#reqid bdfe0be2-98f0-4c9f-b317-f60c2c55a528) took 389ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:41:01: Response received (#reqid bdfe0be2-98f0-4c9f-b317-f60c2c55a528): Found car, car, car
2023-09-12 17:41:38: Request 'detect' dequeued from 'objectdetection_queue' (#reqid ce758ce7-7092-40ac-ba35-fedd32a36f05)
2023-09-12 17:41:38: Client request 'detect' in queue 'objectdetection_queue' (#reqid ce758ce7-7092-40ac-ba35-fedd32a36f05)
2023-09-12 17:41:38: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:41:38: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (#reqid ce758ce7-7092-40ac-ba35-fedd32a36f05) took 416ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:41:38: Response received (#reqid ce758ce7-7092-40ac-ba35-fedd32a36f05): Found car, car, car
2023-09-12 17:41:38: Client request 'custom' in queue 'objectdetection_queue' (#reqid f19856c4-79da-4d06-8637-306a3f2ba07b)
2023-09-12 17:41:38: Request 'custom' dequeued from 'objectdetection_queue' (#reqid f19856c4-79da-4d06-8637-306a3f2ba07b)
2023-09-12 17:41:38: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:41:38: Object Detection (YOLOv5 6.2): Detecting using ipcam-combined in Object Detection (YOLOv5 6.2)
2023-09-12 17:41:38: Response received (#reqid f19856c4-79da-4d06-8637-306a3f2ba07b): Found car, car, car
2023-09-12 17:41:38: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (#reqid f19856c4-79da-4d06-8637-306a3f2ba07b) took 167ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:40: Client request 'detect' in queue 'objectdetection_queue' (#reqid 3bbea61e-bb76-4d8d-b81f-8ada3e4734b9)
2023-09-12 17:44:40: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 3bbea61e-bb76-4d8d-b81f-8ada3e4734b9)
2023-09-12 17:44:40: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:40: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (#reqid 3bbea61e-bb76-4d8d-b81f-8ada3e4734b9) took 367ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:40: Response received (#reqid 3bbea61e-bb76-4d8d-b81f-8ada3e4734b9): Found car, car, car
2023-09-12 17:44:40: Client request 'detect' in queue 'objectdetection_queue' (#reqid 718d4c8c-c841-4d27-9b5d-da7593922287)
2023-09-12 17:44:40: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 718d4c8c-c841-4d27-9b5d-da7593922287)
2023-09-12 17:44:40: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:41: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 8cfdff5f-7440-4ddc-a6b6-e71b9551885f)
2023-09-12 17:44:41: Client request 'detect' in queue 'objectdetection_queue' (#reqid 8cfdff5f-7440-4ddc-a6b6-e71b9551885f)
2023-09-12 17:44:41: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:41: Response received (#reqid 718d4c8c-c841-4d27-9b5d-da7593922287): Found car, car, car
2023-09-12 17:44:41: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (#reqid 718d4c8c-c841-4d27-9b5d-da7593922287) took 409ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:41: Client request 'detect' in queue 'objectdetection_queue' (#reqid 589905bb-2596-4b55-b329-031a87edb6f4)
2023-09-12 17:44:41: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 589905bb-2596-4b55-b329-031a87edb6f4)
2023-09-12 17:44:41: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:41: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (#reqid 8cfdff5f-7440-4ddc-a6b6-e71b9551885f) took 438ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:41: Response received (#reqid 8cfdff5f-7440-4ddc-a6b6-e71b9551885f): Found car, car, car
2023-09-12 17:44:41: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (#reqid 589905bb-2596-4b55-b329-031a87edb6f4) took 431ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:41: Response received (#reqid 589905bb-2596-4b55-b329-031a87edb6f4): Found car, car, car
2023-09-12 17:44:42: Client request 'custom' in queue 'objectdetection_queue' (#reqid 80200bae-8ff5-4c5b-9850-5004023cef48)
2023-09-12 17:44:42: Request 'custom' dequeued from 'objectdetection_queue' (#reqid 80200bae-8ff5-4c5b-9850-5004023cef48)
2023-09-12 17:44:42: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:42: Client request 'custom' in queue 'objectdetection_queue' (#reqid 4c6a1e8f-b1d8-4bbd-8f2c-233ba4d650e3)
2023-09-12 17:44:42: Request 'custom' dequeued from 'objectdetection_queue' (#reqid 4c6a1e8f-b1d8-4bbd-8f2c-233ba4d650e3)
2023-09-12 17:44:42: Object Detection (YOLOv5 6.2): Detecting using ipcam-combined in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:42: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:42: Object Detection (YOLOv5 6.2): Detecting using ipcam-combined in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:42: Response received (#reqid 80200bae-8ff5-4c5b-9850-5004023cef48): Found car, car, car
2023-09-12 17:44:42: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (#reqid 80200bae-8ff5-4c5b-9850-5004023cef48) took 194ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:42: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (#reqid 4c6a1e8f-b1d8-4bbd-8f2c-233ba4d650e3) took 192ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:42: Response received (#reqid 4c6a1e8f-b1d8-4bbd-8f2c-233ba4d650e3): Found car, car, car
2023-09-12 17:44:42: Client request 'custom' in queue 'objectdetection_queue' (#reqid abff27dc-5b9b-4c4e-aae6-e572fd4986a0)
2023-09-12 17:44:42: Request 'custom' dequeued from 'objectdetection_queue' (#reqid abff27dc-5b9b-4c4e-aae6-e572fd4986a0)
2023-09-12 17:44:42: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:42: Object Detection (YOLOv5 6.2): Detecting using ipcam-combined in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:42: Response received (#reqid abff27dc-5b9b-4c4e-aae6-e572fd4986a0): Found car, car, car
2023-09-12 17:44:42: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (#reqid abff27dc-5b9b-4c4e-aae6-e572fd4986a0) took 183ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:46: Request 'custom' dequeued from 'objectdetection_queue' (#reqid 6ea68fd1-d22e-41b7-a894-ed586994066f)
2023-09-12 17:44:46: Client request 'custom' in queue 'objectdetection_queue' (#reqid 6ea68fd1-d22e-41b7-a894-ed586994066f)
2023-09-12 17:44:46: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:46: Object Detection (YOLOv5 6.2): Detecting using ipcam-combined in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:46: Response received (#reqid 6ea68fd1-d22e-41b7-a894-ed586994066f): Found truck, car, car...
2023-09-12 17:44:46: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (#reqid 6ea68fd1-d22e-41b7-a894-ed586994066f) took 156ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:50: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 7905f0ff-8f3c-4792-8037-d57c67c0f238)
2023-09-12 17:44:50: Client request 'detect' in queue 'objectdetection_queue' (#reqid 7905f0ff-8f3c-4792-8037-d57c67c0f238)
2023-09-12 17:44:50: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:51: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (#reqid 7905f0ff-8f3c-4792-8037-d57c67c0f238) took 334ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:44:51: Response received (#reqid 7905f0ff-8f3c-4792-8037-d57c67c0f238): Found car, car, bicycle...
2023-09-12 17:52:09: ** Operating System: Windows (Microsoft Windows 11 version 10.0.22000)
2023-09-12 17:52:09: ** CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
2023-09-12 17:52:09: ** 1 CPU x 4 cores. 8 logical processors (x64)
2023-09-12 17:52:09: ** GPU: Intel(R) HD Graphics 530 (1,024 MiB) (Intel Corporation)
2023-09-12 17:52:09: ** Driver: 31.0.101.2111
2023-09-12 17:52:09: ** System RAM: 32 GiB
2023-09-12 17:52:09: ** Target: Windows
2023-09-12 17:52:09: ** BuildConfig: Release
2023-09-12 17:52:09: ** Execution Env: Native
2023-09-12 17:52:09: ** Runtime Env: Production
2023-09-12 17:52:09: ** .NET framework: .NET 7.0.10
2023-09-12 17:52:09: ** App DataDir: C:\ProgramData\CodeProject\AI
2023-09-12 17:52:09: Video adapter info:
2023-09-12 17:52:09: Intel(R) HD Graphics 530:
2023-09-12 17:52:09: Driver Version 31.0.101.2111
2023-09-12 17:52:09: Video Processor Intel(R) HD Graphics Family
2023-09-12 17:52:09: ROOT_PATH = C:\Program Files\CodeProject\AI
2023-09-12 17:52:09: RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
2023-09-12 17:52:09: PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
2023-09-12 17:52:09: MODULES_PATH = C:\Program Files\CodeProject\AI\modules
2023-09-12 17:52:09: PYTHON_PATH = \bin\windows\%PYTHON_RUNTIME%\venv\scripts\Python
2023-09-12 17:52:09: Data Dir = C:\ProgramData\CodeProject\AI
2023-09-12 17:52:09: ** Server version: 2.1.11-Beta
2023-09-12 17:52:09: ModuleRunner Start
2023-09-12 17:52:09: Starting Background AI Modules
2023-09-12 17:52:12: GetCommandByRuntime: Runtime=python37, Location=Shared
2023-09-12 17:52:12: Command: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\scripts\Python
2023-09-12 17:52:12:
2023-09-12 17:52:12: 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"
2023-09-12 17:52:12: Starting C:\Program Files...ws\python37\venv\scripts\Python "C:\Program Files...tectionYolo\detect_adapter.py"
2023-09-12 17:52:12:
2023-09-12 17:52:12: ** Module 'Object Detection (YOLOv5 6.2)' (ID: ObjectDetectionYolo)
2023-09-12 17:52:12: ** Module Path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
2023-09-12 17:52:12: ** AutoStart: True
2023-09-12 17:52:12: ** Queue: objectdetection_queue
2023-09-12 17:52:12: ** Platforms: all
2023-09-12 17:52:12: ** GPU: Support enabled
2023-09-12 17:52:12: ** Parallelism: 0
2023-09-12 17:52:12: ** Accelerator:
2023-09-12 17:52:12: ** Half Precis.: enable
2023-09-12 17:52:12: ** Runtime: python37
2023-09-12 17:52:12: ** Runtime Loc: Shared
2023-09-12 17:52:12: ** FilePath: detect_adapter.py
2023-09-12 17:52:12: ** Pre installed: False
2023-09-12 17:52:12: ** Start pause: 1 sec
2023-09-12 17:52:12: ** LogVerbosity:
2023-09-12 17:52:12: ** Valid: True
2023-09-12 17:52:12: ** Environment Variables
2023-09-12 17:52:12: ** APPDIR = %CURRENT_MODULE_PATH%
2023-09-12 17:52:12: ** CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%/custom-models
2023-09-12 17:52:12: ** MODELS_DIR = %CURRENT_MODULE_PATH%/assets
2023-09-12 17:52:12: ** MODEL_SIZE = Medium
2023-09-12 17:52:12: ** USE_CUDA = True
2023-09-12 17:52:12: ** YOLOv5_AUTOINSTALL = false
2023-09-12 17:52:12: ** YOLOv5_VERBOSE = false
2023-09-12 17:52:12:
2023-09-12 17:52:13: Started Object Detection (YOLOv5 6.2) module
2023-09-12 17:52:14: GetCommandByRuntime: Runtime=python37, Location=Shared
2023-09-12 17:52:14: Command: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\scripts\Python
2023-09-12 17:52:14:
2023-09-12 17:52:14: 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"
2023-09-12 17:52:14: Starting C:\Program Files...ws\python37\venv\scripts\Python "C:\Program Files...ing\intelligencelayer\face.py"
2023-09-12 17:52:14:
2023-09-12 17:52:14: ** Module 'Face Processing' (ID: FaceProcessing)
2023-09-12 17:52:14: ** Module Path: C:\Program Files\CodeProject\AI\modules\FaceProcessing
2023-09-12 17:52:14: ** AutoStart: True
2023-09-12 17:52:14: ** Queue: faceprocessing_queue
2023-09-12 17:52:14: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-09-12 17:52:14: ** GPU: Support enabled
2023-09-12 17:52:14: ** Parallelism: 0
2023-09-12 17:52:14: ** Accelerator:
2023-09-12 17:52:14: ** Half Precis.: enable
2023-09-12 17:52:14: ** Runtime: python37
2023-09-12 17:52:14: ** Runtime Loc: Shared
2023-09-12 17:52:14: ** FilePath: intelligencelayer\face.py
2023-09-12 17:52:14: ** Pre installed: False
2023-09-12 17:52:14: ** Start pause: 1 sec
2023-09-12 17:52:14: ** LogVerbosity:
2023-09-12 17:52:14: ** Valid: True
2023-09-12 17:52:14: ** Environment Variables
2023-09-12 17:52:14: ** APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
2023-09-12 17:52:14: ** DATA_DIR = %DATA_DIR%
2023-09-12 17:52:14: ** MODE = MEDIUM
2023-09-12 17:52:14: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-09-12 17:52:14: ** PROFILE = desktop_gpu
2023-09-12 17:52:14: ** USE_CUDA = True
2023-09-12 17:52:14: ** YOLOv5_AUTOINSTALL = false
2023-09-12 17:52:14: ** YOLOv5_VERBOSE = false
2023-09-12 17:52:14:
2023-09-12 17:52:14: Started Face Processing module
2023-09-12 17:52:15: Current Version is 2.1.11-Beta
2023-09-12 17:52:15: Server: This is the latest version
2023-09-12 17:52:26: detect_adapter.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
2023-09-12 17:52:26: detect_adapter.py: APPDIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo
2023-09-12 17:52:26: detect_adapter.py: MODEL_SIZE: medium
2023-09-12 17:52:26: detect_adapter.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\assets
2023-09-12 17:52:26: face.py: CPAI_MODULE_REQUIRED_MB not found. Setting to default 0
2023-09-12 17:52:26: face.py: Vision AI services setup: Retrieving environment variables...
2023-09-12 17:52:26: face.py: USE_MPS not found. Setting to default True
2023-09-12 17:52:26: face.py: APPDIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer
2023-09-12 17:52:26: face.py: PROFILE: desktop_cpu
2023-09-12 17:52:26: face.py: USE_CUDA: False
2023-09-12 17:52:26: face.py: DATA_DIR: C:\ProgramData\CodeProject\AI
2023-09-12 17:52:26: face.py: MODELS_DIR: C:\Program Files\CodeProject\AI\modules\FaceProcessing\assets
2023-09-12 17:52:26: face.py: MODE: MEDIUM
2023-09-12 17:52:27: Running init for Face Processing
2023-09-12 17:52:27: Running init for Object Detection (YOLOv5 6.2)
2023-09-12 17:52:27: Face Processing: Face Processing started. in Face Processing
2023-09-12 17:52:27: Object Detection (YOLOv5 6.2): Object Detection (YOLOv5 6.2) started. in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:28: Client request 'list-custom' in queue 'objectdetection_queue' (#reqid 068b2bac-b775-49df-9ef5-8dbe32dd9359)
2023-09-12 17:53:28: Client request 'list-custom' in queue 'objectdetection_queue' (#reqid 588f0625-15f8-47b1-803d-1a4c05f6db22)
2023-09-12 17:53:28: Request 'list-custom' dequeued from 'objectdetection_queue' (#reqid 068b2bac-b775-49df-9ef5-8dbe32dd9359)
2023-09-12 17:53:28: Request 'list-custom' dequeued from 'objectdetection_queue' (#reqid 588f0625-15f8-47b1-803d-1a4c05f6db22)
2023-09-12 17:53:28: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:28: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:28: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'list-custom' (#reqid 588f0625-15f8-47b1-803d-1a4c05f6db22) took 3ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:28: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'list-custom' (#reqid 068b2bac-b775-49df-9ef5-8dbe32dd9359) took 2ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:28: Response received (#reqid 068b2bac-b775-49df-9ef5-8dbe32dd9359)
2023-09-12 17:53:28: Response received (#reqid 588f0625-15f8-47b1-803d-1a4c05f6db22)
2023-09-12 17:53:37: Request 'detect' dequeued from 'objectdetection_queue' (#reqid fc1d141e-c7bf-4975-a367-7884df9ebd19)
2023-09-12 17:53:37: Client request 'detect' in queue 'objectdetection_queue' (#reqid fc1d141e-c7bf-4975-a367-7884df9ebd19)
2023-09-12 17:53:37: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:38: Object Detection (YOLOv5 6.2): Model Path is C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\assets\yolov5m.pt in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:38: Response received (#reqid fc1d141e-c7bf-4975-a367-7884df9ebd19): Found car, car, bicycle...
2023-09-12 17:53:38: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (#reqid fc1d141e-c7bf-4975-a367-7884df9ebd19) took 1038ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:41: Client request 'detect' in queue 'objectdetection_queue' (#reqid a3cfc060-bd4d-444a-9478-cd7c13053a1f)
2023-09-12 17:53:41: Request 'detect' dequeued from 'objectdetection_queue' (#reqid a3cfc060-bd4d-444a-9478-cd7c13053a1f)
2023-09-12 17:53:41: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:41: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'detect' (#reqid a3cfc060-bd4d-444a-9478-cd7c13053a1f) took 350ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:41: Response received (#reqid a3cfc060-bd4d-444a-9478-cd7c13053a1f): Found car, car, bicycle...
2023-09-12 17:53:45: Client request 'custom' in queue 'objectdetection_queue' (#reqid 99ac57aa-ea8c-40d2-93ed-aaa4f2f71872)
2023-09-12 17:53:45: Request 'custom' dequeued from 'objectdetection_queue' (#reqid 99ac57aa-ea8c-40d2-93ed-aaa4f2f71872)
2023-09-12 17:53:45: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:45: Object Detection (YOLOv5 6.2): Detecting using ipcam-combined in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:45: Response received (#reqid 99ac57aa-ea8c-40d2-93ed-aaa4f2f71872): Found truck, car, car...
2023-09-12 17:53:45: Object Detection (YOLOv5 6.2): Model Path is C:\Program Files\CodeProject\AI\modules\ObjectDetectionYolo\custom-models\ipcam-combined.pt in Object Detection (YOLOv5 6.2)
2023-09-12 17:53:45: Object Detection (YOLOv5 6.2): Queue request for Object Detection (YOLOv5 6.2) command 'custom' (#reqid 99ac57aa-ea8c-40d2-93ed-aaa4f2f71872) took 333ms (command timing) in Object Detection (YOLOv5 6.2)
2023-09-12 22:56:34: ModuleRunner Stop
2023-09-12 22:56:34: ObjectDetectionNet doesn't appear in the Process list, so can't stop it.
2023-09-12 22:56:34: Sending shutdown request to python/ObjectDetectionYolo
2023-09-12 22:56:34: Client request 'Quit' in queue 'objectdetection_queue' (#reqid 6a3ea727-ea40-4ebb-9e20-255e3b87df80)
2023-09-12 22:56:34: Sending shutdown request to python/FaceProcessing
2023-09-12 22:56:34: Client request 'Quit' in queue 'faceprocessing_queue' (#reqid 82a90d6e-bd26-4fb4-9443-55d5f62320fb)
2023-09-12 22:57:07: Forcing shutdown of python/FaceProcessing
2023-09-12 22:57:07: Forcing shutdown of python/ObjectDetectionYolo
2023-09-12 22:57:07: ** Module FaceProcessing has shutdown
2023-09-12 22:57:07: ** Module ObjectDetectionYolo has shutdown
2023-09-12 22:57:07: Waiting for ObjectDetectionYolo to end.
2023-09-12 22:57:07: Waiting for FaceProcessing to end.
2023-09-12 22:57:07: face.py: has exited
2023-09-12 22:57:07: detect_adapter.py: has exited
2023-09-12 22:57:07: ObjectDetectionYolo ended after 3 ms
2023-09-12 22:57:07: FaceProcessing ended after 3 ms

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