cybernetics1d
Getting the hang of it
Thanks for the quick instructions Mike. I’ll give it another try!
CodeProject.AI Version 2.0
- Thread starter MikeLud1
- Start date
Where did you get this log?Error Free
2023-04-20 13:14:35: Starting "C:\Program Files...ionNet\ObjectDetectionNet.exe"
2023-04-20 13:14:35:
2023-04-20 13:14:35: ** Module 'Object Detection (YOLOv5 .NET)' (ID: ObjectDetectionNet)
2023-04-20 13:14:35: ** Active: True
2023-04-20 13:14:35: ** GPU: Support enabled
2023-04-20 13:14:35: ** Parallelism: 0
2023-04-20 13:14:35: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-04-20 13:14:35: ** FilePath: ObjectDetectionNet.exe
2023-04-20 13:14:35: ** ModulePath: ObjectDetectionNet
2023-04-20 13:14:35: ** Install: PreInstalled
2023-04-20 13:14:35: ** Runtime: execute
2023-04-20 13:14:35: ** Queue: objectdetection_queue
2023-04-20 13:14:35: ** Start pause: 1 sec
2023-04-20 13:14:35: ** Valid: True
2023-04-20 13:14:35: ** Environment Variables
2023-04-20 13:14:35: ** CPAI_MODULE_SUPPORT_GPU = True
2023-04-20 13:14:35: ** CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%\custom-models
2023-04-20 13:14:35: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-04-20 13:14:35: ** MODEL_SIZE = MEDIUM
2023-04-20 13:14:35: ** USE_CUDA = True
2023-04-20 14:02:04: ** Operating System: Windows (Microsoft Windows 11 version 10.0.22621)
2023-04-20 14:02:04: ** CPUs: 1 CPU x 8 cores. 16 logical processors (x64)
2023-04-20 14:02:04: ** GPU: NVIDIA GeForce GTX 1060 6GB (6 GiB) (NVidia)
2023-04-20 14:02:04: ** Driver: 516.94 CUDA: 11.7 Compute: 6.1
2023-04-20 14:02:04: ** System RAM: 32 GiB
2023-04-20 14:02:04: ** Target: Windows
2023-04-20 14:02:04: ** BuildConfig: Release
2023-04-20 14:02:04: ** Execution Env: Native
2023-04-20 14:02:04: ** Runtime Env: Production
2023-04-20 14:02:04: ** .NET framework: .NET 7.0.3
2023-04-20 14:02:04: ** App DataDir: C:\ProgramData\CodeProject\AI
2023-04-20 14:02:04: System GPU info:
2023-04-20 14:02:04: GPU 3D Usage 0%
2023-04-20 14:02:04: GPU RAM Usage 279 MiB
2023-04-20 14:02:04: Video adapter info:
2023-04-20 14:02:04: NVIDIA GeForce GTX 1060 6GB:
2023-04-20 14:02:04: Adapter RAM 4 GiB
2023-04-20 14:02:04: Driver Version 31.0.15.1694
2023-04-20 14:02:04: Video Processor NVIDIA GeForce GTX 1060 6GB
Village Guy
Pulling my weight
C:\Program Files\CodeProject\AI\logs
There’s a thread on codeproject forum. Basically I noticed that it wasn’t installing .NET and ASP.NET and because of that installer was skipping steps like creating the service for AI.
So install those two modules and repair the installer and should be good.
Same problem here.... not sure how to install .NET and ASP.NET I see various .NET SDK downloads on microsoft.com, is one of those what the codeproject.ai installer is missing?
Village Guy
Pulling my weight
Authors say it’s not that easy due to the number of different platforms like arm64 x64 then is it Linux or docket or windows native etc. So it would then require like 15-20 different offline installers for each different flavor.
The way they have it now is looks for pieces it needs based on the architecture. Which I can see why that’s easier to maintain for both author and end user side.
I looked there earlier but can't find the startup info you listed. Even Stopped and Restarted...hmmm...
Village Guy
Pulling my weight
You can try either use Edit / Search / "Starting" or stop CP AI delete the log files and restart. The info I copied will be at the start of the text file.
Found one, thanks
2023-04-21 10:05:04: Response received (#reqid ##############################)
2023-04-21 10:05:54: ** Operating System: Windows (Microsoft Windows 10.0.19045)
2023-04-21 10:05:54: ** CPUs: 1 CPU x 4 cores. 8 logical processors (x64)
2023-04-21 10:05:54: ** GPU: NVIDIA GeForce GTX 970 (4 GiB) (NVidia)
2023-04-21 10:05:54: ** Driver: 516.94 CUDA: 11.7 Compute: 5.2
2023-04-21 10:05:54: ** System RAM: 32 GiB
2023-04-21 10:05:54: ** Target: Windows
2023-04-21 10:05:54: ** BuildConfig: Release
2023-04-21 10:05:54: ** Execution Env: Native
2023-04-21 10:05:54: ** Runtime Env: Production
2023-04-21 10:05:54: ** .NET framework: .NET 7.0.3
2023-04-21 10:05:54: ** App DataDir: C:\ProgramData\CodeProject\AI
2023-04-21 10:05:54: System GPU info:
2023-04-21 10:05:54: GPU 3D Usage 0%
2023-04-21 10:05:54: GPU RAM Usage 184 MiB
2023-04-21 10:05:54: Video adapter info:
2023-04-21 10:05:54: NVIDIA GeForce GTX 970:
2023-04-21 10:05:54: Adapter RAM 4 GiB
2023-04-21 10:05:54: Driver Version 31.0.15.1694
2023-04-21 10:05:54: Video Processor NVIDIA GeForce GTX 970
2023-04-21 10:05:54: ------------------------------------------------------------------
2023-04-21 10:05:54: ROOT_PATH = C:\Program Files\CodeProject\AI
2023-04-21 10:05:54: MODULES_PATH = C:\Program Files\CodeProject\AI\AnalysisLayer
2023-04-21 10:05:54: DOWNLOADED_MODULES_PATH = C:\Program Files\CodeProject\AI\modules
2023-04-21 10:05:54: PYTHON_BASEPATH = C:\Program Files\CodeProject\AI\AnalysisLayer\bin\windows\%PYTHON_RUNTIME%\venv
2023-04-21 10:05:54: PYTHON_PATH = C:\Program Files\CodeProject\AI\AnalysisLayer\bin\windows\%PYTHON_RUNTIME%\venv\scripts\Python
2023-04-21 10:05:54: Temp Dir: C:\WINDOWS\TEMP\
2023-04-21 10:05:54: Data Dir: C:\ProgramData\CodeProject\AI
2023-04-21 10:05:54: ------------------------------------------------------------------
2023-04-21 10:05:54: ModuleRunner Start
2023-04-21 10:05:54: Starting Background AI Modules
2023-04-21 10:05:55: Client request 'list-custom' in the queue (#reqid ###########################)
2023-04-21 10:05:57: Starting C:\Program Files...ws\python37\venv\scripts\Python "C:\Program Files...tectionYolo\detect_adapter.py"
2023-04-21 10:05:57:
2023-04-21 10:05:57: ** Module 'Object Detection (YOLOv5 6.2)' (ID: ObjectDetectionYolo)
2023-04-21 10:05:57: ** Active: True
2023-04-21 10:05:57: ** GPU: Support enabled
2023-04-21 10:05:57: ** Parallelism: 0
2023-04-21 10:05:57: ** Platforms: all
2023-04-21 10:05:57: ** FilePath: detect_adapter.py
2023-04-21 10:05:57: ** ModulePath: ObjectDetectionYolo
2023-04-21 10:05:57: ** Install: PreInstalled
2023-04-21 10:05:57: ** Runtime: python37
2023-04-21 10:05:57: ** Queue: objectdetection_queue
2023-04-21 10:05:57: ** Start pause: 1 sec
2023-04-21 10:05:57: ** Valid: True
2023-04-21 10:05:57: ** Environment Variables
2023-04-21 10:05:57: ** APPDIR = %CURRENT_MODULE_PATH%
2023-04-21 10:05:57: ** CPAI_CUDA_DEVICE_NUM = 0
2023-04-21 10:05:57: ** CPAI_HALF_PRECISION = Enable
2023-04-21 10:05:57: ** CPAI_MODULE_SUPPORT_GPU = True
2023-04-21 10:05:57: ** CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%/custom-models
2023-04-21 10:05:57: ** MODELS_DIR = %CURRENT_MODULE_PATH%/assets
2023-04-21 10:05:57: ** MODEL_SIZE = Large
2023-04-21 10:05:57: ** USE_CUDA = True
2023-04-21 10:05:57: ** YOLOv5_AUTOINSTALL = false
2023-04-21 10:05:57: ** YOLOv5_VERBOSE = false
2023-04-21 10:05:57:
2023-04-21 10:05:57: Started Object Detection (YOLOv5 6.2) module
2023-04-21 10:05:58: Starting C:\Program Files...ws\python37\venv\scripts\Python "C:\Program Files...ing\intelligencelayer\face.py"
2023-04-21 10:05:58:
2023-04-21 10:05:58: ** Module 'Face Processing' (ID: FaceProcessing)
2023-04-21 10:05:58: ** Active: True
2023-04-21 10:05:58: ** GPU: Support enabled
2023-04-21 10:05:58: ** Parallelism: 0
2023-04-21 10:05:58: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-04-21 10:05:58: ** FilePath: intelligencelayer\face.py
2023-04-21 10:05:58: ** ModulePath: FaceProcessing
2023-04-21 10:05:58: ** Install: PreInstalled
2023-04-21 10:05:58: ** Runtime: python37
2023-04-21 10:05:58: ** Queue: face_queue
2023-04-21 10:05:58: ** Start pause: 1 sec
2023-04-21 10:05:58: ** Valid: True
2023-04-21 10:05:58: ** Environment Variables
2023-04-21 10:05:58: ** APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
2023-04-21 10:05:58: ** CPAI_MODULE_SUPPORT_GPU = True
2023-04-21 10:05:58: ** DATA_DIR = %DATA_DIR%
2023-04-21 10:05:58: ** MODE = MEDIUM
2023-04-21 10:05:58: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-04-21 10:05:58: ** PROFILE = desktop_gpu
2023-04-21 10:05:58: ** USE_CUDA = True
2023-04-21 10:05:58: ** YOLOv5_AUTOINSTALL = false
2023-04-21 10:05:58: ** YOLOv5_VERBOSE = false
2023-04-21 10:05:58:
2023-04-21 10:05:58: Started Face Processing module
2023-04-21 10:05:59: Installing Initial Modules.
2023-04-21 10:06:10: Sending shutdown request to python/FaceProcessing
2023-04-21 10:06:10: Client request 'Quit' in the queue (#reqid ########################)
2023-04-21 10:06:11: detect_adapter.py: APPDIR: C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo
2023-04-21 10:06:11: detect_adapter.py: CPAI_PORT: 32168
2023-04-21 10:06:11: detect_adapter.py: MODEL_SIZE: large
2023-04-21 10:06:11: detect_adapter.py: MODELS_DIR: C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\assets
2023-04-21 10:06:11: detect_adapter.py: support_GPU: True
2023-04-21 10:06:11: detect_adapter.py: use_CUDA: True
2023-04-21 10:06:11: face.py: Vision AI services setup: Retrieving environment variables...
2023-04-21 10:06:11: face.py: APPDIR: C:\Program Files\CodeProject\AI\AnalysisLayer\FaceProcessing\intelligencelayer
2023-04-21 10:06:11: Request 'list-custom' dequeued for processing (#reqid #########################)
2023-04-21 10:06:11: face.py: PROFILE: desktop_gpu
2023-04-21 10:06:11: Object Detection (YOLOv5 6.2): Running init for Object Detection (YOLOv5 6.2) in Object Detection (YOLOv5 6.2)
2023-04-21 10:06:11: face.py: USE_CUDA: True
2023-04-21 10:06:11: face.py: DATA_DIR: C:\ProgramData\CodeProject\AI
2023-04-21 10:06:11: face.py: MODELS_DIR: C:\Program Files\CodeProject\AI\AnalysisLayer\FaceProcessing\assets
2023-04-21 10:06:11: face.py: PORT: 32168
2023-04-21 10:06:11: face.py: MODE: MEDIUM
2023-04-21 10:06:11: face.py: GPU in use: NVIDIA GeForce GTX 970
2023-04-21 10:06:11: Request 'Quit' dequeued for processing (#reqid ##########################)
2023-04-21 10:06:11: Face Processing: Face Processing started. in Face Processing
2023-04-21 10:06:11: Object Detection (YOLOv5 6.2): Object Detection (YOLOv5 6.2) started. in Object Detection (YOLOv5 6.2)
2023-04-21 10:06:11: Face Processing: Retrieved face_queue command in Face Processing
2023-04-21 10:06:11: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
So how do you stop 6.2 and start .NET?
MikeLud1
IPCT Contributor
Duh, haha, did not notice those...Thanks...So sure enough it showed CPU at first then I relaunched the Web Link and it shows GPU.
Thanks Everyone...
MikeLud1
IPCT Contributor
If you want to give a little more boost and better consistency try setting the Power management mode to Prefer maximum performance, see the below link.
CodeProject.AI Version 2.0
Thanks truglo for the tip on the delayed service start, it's all working ok now on a reboot. Maybe there should be a change to the BI service when AI is enabled to add the service dependency to the BI service so it can then be a normal auto start but won't do that until the AI is up first...
Done, thanks.If you want to give a little more boost and better consistency try setting the Power management mode to Prefer maximum performance, see the below link.
CodeProject.AI Version 2.0
Thanks truglo for the tip on the delayed service start, it's all working ok now on a reboot. Maybe there should be a change to the BI service when AI is enabled to add the service dependency to the BI service so it can then be a normal auto start but won't do that until the AI is up first...ipcamtalk.com
I have been very pleased with CodeProject.AI DeepStack worked great for me too. CP.AI YOLOv5 6.2 worked with no problems so I am sure YOLOv5.NET will do the same.
Our Neighborhood Cats are still being Identified as Birds
, but Persons, Cars, Trucks are spot on which is all I care about.
I know this is a Blue Iris question but wonder if there is a way I can get Person detections sent to a phone push notification? I am running HA
Village Guy
Pulling my weight
Absolutely!Done, thanks.
I have been very pleased with CodeProject.AI DeepStack worked great for me too. CP.AI YOLOv5 6.2 worked with no problems so I am sure YOLOv5.NET will do the same.
Our Neighborhood Cats are still being Identified as Birds
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I know this is a Blue Iris question but wonder if there is a way I can get Person detections sent to a phone push notification? I am running HA
Just install the BI app on your phone and define it to send only 'Persons' events. If you find it conflicts with your other requirements, setup a clone specifically for that kind of event.