|
The issues is you are using Object Detection (Coral) for object detection. The ALPR module needs Object Detection (YOLOv5 .NET) or Object Detection (YOLOv5 6.2). I am working on a new Object Detection for Coral that will work with the ALPR module, at this time I am not sure of the release date.
|
|
|
|
|
You think having the YOLO module installed - but not being used - could "trick" it into working?
If not I'll just put my Tesla P4 back in until you release a Coral version of the ALPR module. And here I went and changed all my "to confirm/cancel/custom modules" for Coral...lol.
((Honestly other than power consumption, the Coral hasn't been too impressive. Detection times are 2x what the Tesla was at))
|
|
|
|
|
I just came across that issue in testing and literally a minute ago fixed the issue
The line should be
if not "success" in detect_plate_response or not detect_plate_response["success"]:
cheers
Chris Maunder
|
|
|
|
|
For CodeProject.AI, I can choose between two similarly-priced cards: RTX 4060 and RTX A4000. I know they are generally priced differently, however I have a good source for A4000 cards at around $370.
I am strictly looking at performance while performing object recgnition, not power consumption.
Which one would you pick if they had the same price?
|
|
|
|
|
The RTX A4000 will be a little faster. Also would be a good GPU if you want to train some AI modules
|
|
|
|
|
|
I am in the market for an A4000 card. Is your source a public place I may purchase one at?
Thank you!
|
|
|
|
|
He knows a guy who knows a guy...
cheers
Chris Maunder
|
|
|
|
|
It's a private individual financially recovering after a failed AI startup 
He has 5x cards left. They are not new, but not overly used either.
I will buy one from him next month.
|
|
|
|
|
I'm looking for a way to set BI or CPAI to not process a section of the camera view. My wife put some decorations on our porch, and when there is motion, CPAI correctly detects that Santa is person shaped. I have tried everything I can think of to block out the affected area, but aside from removing the decoration, I can't find a way to prevent the false (albeit correct) detections.
Any ideas?
|
|
|
|
|
I believe the way this is supposed to work is to go into your Camera Settings, go to the Triggers tab, then hit Configure for Motion sensor. Your camera needs to be on to do this.
From there, under the Advanced section, hit the Edit button for Use zones and hot spot. In here you can use the cursor to paint the area you want the camera to cover for a specific zone. You want to use the cursor to make a distinction between the area where you don't want motion to be triggered, and FROM which, the object coming from that area, where motion will trigger a detection. So, for example, if your camera was facing the path from your driveway to your front door, and you only wanted motion detection triggered from the start of the walkway to the door, you would paint this area separate from the driveway, on its on zone.
For me, I had to leave Zones A and B full, not sure why. So for Zone C, I painted the area I didn't want covered. Now go back to the main Motion sensor tab, and click Edit for Object detection. And indicate how you want the detections to occur between Zones. For me, I wanted it simple. I put, B-C, so if an object is in Zone B, and moves to Zone C, it can be triggered.
Let me know how this works for you. I tested it out and it seems to be working for me this way. There are lots of posts online where people have enough trouble fiddling with zones that they give up on, and reposition the camera.
Thanks,
Sean Ewington
CodeProject
|
|
|
|
|
Apologies if this has been posted, I stuggle with the search function here.
i7-6700, no dedicated GPU.
After every semi recent update it seems that v5 and v6.2 are both running and processing looking at the logs. I only ever see 6.2 increment the counters on the status page.
So that said should both be running? Also I seem to remember reading that the .net version used to be faster on PCs without a nvidia GPU.
Just want to make sure I'm following the best practices for performance.
|
|
|
|
|
Thanks very much for the message. You definitely only want to run one Object Detection module at a time. And yes, the .NET detection module should have an edge on faster performance.
Thanks,
Sean Ewington
CodeProject
|
|
|
|
|
Thanks. I seem to have something wonky going with starting/stopping them from the status page. I keep seeing one or the other go from teal to gray and "lost contact". Screenshot attached.
Watching the log scrolling past though, it does look like it's only using .NET v5 now though. Also not seeing the counter increase.
I'm not sure if it's an actual problem, or just the status page not reading properly.
Cheers!
|
|
|
|
|
In Blue Iris Main AI setting uncheck Auto start/stop with Blue Iris. Also run a test with CodeProject.AI Explorer to check if Object Detection (YOLOv5 .NET) is working
|
|
|
|
|
I just checked, it was already unchecked.
Detection is working from the Web UI, and from BI..
Since messing with it earlier in stopping v5 6.2. it looks like only V5.net is running currently and what is working but the counter just isn't counting up.
Doesn't seem to be affecting anything so guessing maybe just a bug or a glitch..
Gave the PC a reboot seems like .net is still the only one running.
Guessing both of them running happened after the last time I updated code project..
|
|
|
|
|
When you have CodeProject.AI Dashboard open try refreshing the web page by doing CTRL+F5 to see if this fixes the counter.
|
|
|
|
|
Just tried that. Still doesn't count. Face processing counts up, just not .net object.
Oh well, it's still working which is the important part. 😀
|
|
|
|
|
I'm having an issue with modules not found on a fresh install of CodeProjectAI v2.3.3 in an Ubuntu 22.04 VM. I found the info in the README at the top of this forum, and I've tried uninstalling and reinstalling the Face module a couple times, but the error persists. I see errors in the logs models.zip that isn't found, and Pillow failing a check, but I don't know what to do with that.
System Info
Server version: 2.3.3-Beta
System: Linux
Operating System: Linux (Linux 5.15.0-89-generic #99-Ubuntu SMP Mon Oct 30 20:42:41 UTC 2023)
CPUs: QEMU Virtual CPU version 2.5+
1 CPU x 12 cores. 12 logical processors (x64)
GPU: GP104 [GeForce GTX 1070] (rev a1) (NVIDIA Corporation)
System RAM: 94 GiB
Target: Linux
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.14
Video adapter info:
Device 1234:
Driver Version<br />
Video Processor<br />
GP104 [GeForce GTX 1070] (rev a1):
Driver Version<br />
Video Processor
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Server Logs with install errors
19:19:53:System: Linux
19:19:53:Operating System: Linux (Linux 5.15.0-89-generic #99-Ubuntu SMP Mon Oct 30 20:42:41 UTC 2023)
19:19:53:CPUs: QEMU Virtual CPU version 2.5+
19:19:53: 1 CPU x 12 cores. 12 logical processors (x64)
19:19:53:GPU: GP104 [GeForce GTX 1070] (rev a1) (NVIDIA Corporation)
19:19:53:System RAM: 94 GiB
19:19:53:Target: Linux
19:19:53:BuildConfig: Release
19:19:53:Execution Env: Native
19:19:53:Runtime Env: Production
19:19:53:.NET framework: .NET 7.0.14
19:19:53:App DataDir: /etc/codeproject/ai
19:19:53:Video adapter info:
19:19:53: Device 1234:
19:19:53: Driver Version
19:19:53: Video Processor
19:19:53: GP104 [GeForce GTX 1070] (rev a1):
19:19:53: Driver Version
19:19:53: Video Processor
19:19:53:STARTING CODEPROJECT.AI SERVER
19:19:53:RUNTIMES_PATH = /usr/bin/codeproject.ai-server-2.3.3/runtimes
19:19:53:PREINSTALLED_MODULES_PATH = /usr/bin/codeproject.ai-server-2.3.3/preinstalled-modules
19:19:53:MODULES_PATH = /usr/bin/codeproject.ai-server-2.3.3/modules
19:19:53:PYTHON_PATH = /bin/linux/%PYTHON_DIRECTORY%/venv/bin/python3
19:19:53:Data Dir = /etc/codeproject/ai
19:19:53:Server version: 2.3.3-Beta
19:19:59:A new version 2.3.4-Beta is available
19:20:37:Preparing to install module 'FaceProcessing'
19:20:37:Downloading module 'FaceProcessing'
19:20:37:Installing module 'FaceProcessing'
19:20:37:FaceProcessing: Installing CodeProject.AI Analysis Module<br />
19:20:37:FaceProcessing: ======================================================================
19:20:37:FaceProcessing: CodeProject.AI Installer<br />
19:20:37:FaceProcessing: ======================================================================
19:20:37:FaceProcessing: 1.08 GiB available on linux
19:20:37:FaceProcessing: General CodeProject.AI setup<br />
19:20:37:FaceProcessing: Setting permissions...Done
19:20:37:FaceProcessing: GPU support<br />
19:20:37:FaceProcessing: CUDA Present...Yes (version 11.5)
19:20:37:FaceProcessing: ROCm Present...No
19:20:37:FaceProcessing: Processing module FaceProcessing 1.8.1<br />
19:20:37:FaceProcessing: Installing Python 3.8
19:20:37:FaceProcessing: Python 3.8 is already installed
19:20:39:FaceProcessing: Upgrading PIP in base python install... done
19:20:39:FaceProcessing: Virtual Environment already present
19:20:39:FaceProcessing: Checking for Python 3.8...Found Python 3.8.18. present
19:20:40:FaceProcessing: Upgrading PIP in virtual environment... done
19:20:41:FaceProcessing: Installing updated setuptools in virtual environment... Done
19:20:41:FaceProcessing: [models.zip]
19:20:41:FaceProcessing: End-of-central-directory signature not found. Either this file is not
19:20:41:FaceProcessing: a zipfile, or it constitutes one disk of a multi-part archive. In the
19:20:41:FaceProcessing: latter case the central directory and zipfile comment will be found on
19:20:41:FaceProcessing: the last disk(s) of this archive.
19:20:41:FaceProcessing: unzip: cannot find zipfile directory in one of models.zip or
19:20:41:FaceProcessing: models.zip.zip, and cannot find models.zip.ZIP, period.
19:20:41:FaceProcessing: Downloading YOLO models... already exists...Expanding... Done.
19:20:41:FaceProcessing: Installing Python packages for FaceProcessing
19:20:41:FaceProcessing: Installing GPU-enabled libraries: If available
19:20:42:FaceProcessing: Searching for python3-pip...All good.
19:20:44:FaceProcessing: Ensuring PIP compatibility... Done
19:20:44:FaceProcessing: Python packages will be specified by requirements.linux.cuda11_5.txt
19:20:44:FaceProcessing: - Installing Pandas, a data analysis / data manipulation tool...Already installed
19:20:45:FaceProcessing: - Installing CoreMLTools, for working with .mlmodel format models...Already installed
19:20:45:FaceProcessing: - Installing OpenCV, the Open source Computer Vision library...Already installed
19:20:47:FaceProcessing: - Installing Pillow, a Python Image Library... (failed check) Done
19:20:47:FaceProcessing: - Installing SciPy, a library for mathematics, science, and engineering...Already installed
19:20:48:FaceProcessing: - Installing PyYAML, a library for reading configuration files...Already installed
19:21:23:Call to run Install on module FaceProcessing has completed.
Server logs showing PIL module error
08:35:43:System: Linux
08:35:43:Operating System: Linux (Linux 5.15.0-89-generic #99-Ubuntu SMP Mon Oct 30 20:42:41 UTC 2023)
08:35:43:CPUs: QEMU Virtual CPU version 2.5+
08:35:43: 1 CPU x 12 cores. 12 logical processors (x64)
08:35:43:GPU: GP104 [GeForce GTX 1070] (rev a1) (NVIDIA Corporation)
08:35:43:System RAM: 94 GiB
08:35:43:Target: Linux
08:35:43:BuildConfig: Release
08:35:43:Execution Env: Native
08:35:43:Runtime Env: Production
08:35:43:.NET framework: .NET 7.0.14
08:35:43:App DataDir: /etc/codeproject/ai
08:35:43:Video adapter info:
08:35:43: Device 1234:
08:35:43: Driver Version
08:35:43: Video Processor
08:35:43: GP104 [GeForce GTX 1070] (rev a1):
08:35:43: Driver Version
08:35:43: Video Processor
08:35:43:STARTING CODEPROJECT.AI SERVER
08:35:43:RUNTIMES_PATH = /usr/bin/codeproject.ai-server-2.3.3/runtimes
08:35:43:PREINSTALLED_MODULES_PATH = /usr/bin/codeproject.ai-server-2.3.3/preinstalled-modules
08:35:43:MODULES_PATH = /usr/bin/codeproject.ai-server-2.3.3/modules
08:35:43:PYTHON_PATH = /bin/linux/%PYTHON_DIRECTORY%/venv/bin/python3
08:35:43:Data Dir = /etc/codeproject/ai
08:35:43:Server version: 2.3.3-Beta
08:35:46:
08:35:46:Module 'Face Processing' 1.8.1 (ID: FaceProcessing)
08:35:46:Module Path: /usr/bin/codeproject.ai-server-2.3.3/modules/FaceProcessing
08:35:46:AutoStart: True
08:35:46:Queue: faceprocessing_queue
08:35:46:Platforms: windows,linux,linux-arm64,macos,macos-arm64
08:35:46:GPU Libraries: installed if available
08:35:46:GPU Enabled: enabled
08:35:46:Parallelism: 0
08:35:46:Accelerator:
08:35:46:Half Precis.: enable
08:35:46:Runtime: python3.8
08:35:46:Runtime Loc: Shared
08:35:46:FilePath: intelligencelayer\face.py
08:35:46:Pre installed: False
08:35:46:Start pause: 3 sec
08:35:46:LogVerbosity:
08:35:46:Valid: True
08:35:46:Environment Variables
08:35:46:APPDIR = %CURRENT_MODULE_PATH%\intelligencelayer
08:35:46:DATA_DIR = %DATA_DIR%
08:35:46:MODE = MEDIUM
08:35:46:MODELS_DIR = %CURRENT_MODULE_PATH%\assets
08:35:46:PROFILE = desktop_gpu
08:35:46:USE_CUDA = True
08:35:46:YOLOv5_AUTOINSTALL = false
08:35:46:YOLOv5_VERBOSE = false
08:35:46:
08:35:46:Started Face Processing module
08:35:46:face.py: Traceback (most recent call last):
08:35:46:face.py: File "/usr/bin/codeproject.ai-server-2.3.3/modules/FaceProcessing/intelligencelayer/face.py", line 21, in
08:35:46:face.py: from request_data import RequestData
08:35:46:face.py: File "/usr/bin/codeproject.ai-server-2.3.3/modules/FaceProcessing/../../SDK/Python/request_data.py", line 7, in
08:35:46:face.py: from PIL import Image
08:35:46:face.py: ModuleNotFoundError: No module named 'PIL'
08:35:46:Module FaceProcessing has shutdown
08:35:46:face.py: has exited
08:35:49:A new version 2.3.4-Beta is available
modified 29-Nov-23 11:37am.
|
|
|
|
|
Thanks very much for the detailed logs. What happens when you uninstall and re-install the Face Processing module from the CodeProject.AI Server dashboard?
Thanks,
Sean Ewington
CodeProject
|
|
|
|
|
I've done the uninstall/reinstall a few times, but the results are always the same, excerpts from the logs I posted in OP below.
Where does the virtual environment live? I may get more verbose errors if I drop into it and run the pip install pillow command directly
Reinstall Errors
The second log I posted is from the reinstall of the Face Processing module. Relevant errors extracted here
Models.zip error during Face module install
19:20:41:FaceProcessing: [models.zip]
19:20:41:FaceProcessing: End-of-central-directory signature not found. Either this file is not
19:20:41:FaceProcessing: a zipfile, or it constitutes one disk of a multi-part archive. In the
19:20:41:FaceProcessing: latter case the central directory and zipfile comment will be found on
19:20:41:FaceProcessing: the last disk(s) of this archive.
19:20:41:FaceProcessing: unzip: cannot find zipfile directory in one of models.zip or
19:20:41:FaceProcessing: models.zip.zip, and cannot find models.zip.ZIP, period.
Pillow failed check during Face processing install
19:20:47:FaceProcessing: - Installing Pillow, a Python Image Library... (failed check) Done
Face Processing Errors
The third log I posted shows the PIL module error on trying to start the Face Processing module, which persisted through the uninstall/reinstall process. Relevant lines extracted here:
19:24:43:Started Face Processing module
19:24:43:face.py: Traceback (most recent call last):
19:24:43:face.py: File "/usr/bin/codeproject.ai-server-2.3.3/modules/FaceProcessing/intelligencelayer/face.py", line 21, in
19:24:43:face.py: from request_data import RequestData
19:24:43:face.py: File "/usr/bin/codeproject.ai-server-2.3.3/modules/FaceProcessing/../../SDK/Python/request_data.py", line 7, in
19:24:43:face.py: from PIL import Image
19:24:43:face.py: ModuleNotFoundError: No module named 'PIL'
19:24:43:Module FaceProcessing has shutdown
19:24:43:face.py: has exited
|
|
|
|
|
If uninstalling and reinstalling from the dashboard isn't helping, try
cd /usr/bin/codeproject.ai-server-2.3.3/modules/FaceProcessing/
bash ../../setup.sh
Thanks,
Sean Ewington
CodeProject
|
|
|
|
|
Turns out my VM was out of disk space. Increasing the available space has fixed the issue.
It would be nice if the error messages coming out of the install script could surface out of space errors more clearly.
|
|
|
|
|
Can't download the LlamaChat module? The message keeps coming up:
Quote: Error in Install LlamaChat: Unable to download module 'LlamaChat' from https://www.codeproject.com/KB/articles/5348853/LlamaChat-1.0.zip. Error: No bytes downloaded
What can I do here?
Thanks,
Ernesto1963
My Systeminfo:
Quote: Server version: 2.3.4-Beta
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i7-4770K CPU @ 3.50GHz (Intel)
1 CPU x 4 cores. 8 logical processors (x64)
GPU: ATI Radeon HD 2600 XT (256 MiB) (Advanced Micro Devices, Inc.)
Driver: 8.970.100.9001
System RAM: 16 GiB
Target: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.14
Video adapter info:
ATI Radeon HD 2600 XT:
Driver Version 8.970.100.9001
Video Processor ATI display adapter (0x9588)
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
|
|
|
|
|
Have a single AXIS camera with a main stream 5MP and a substeam at .8MP. Have it setup to continuously record sub and on motion generates alert which shifts to main stream. That works fine. Then I enable AI with default setting and it just blue screen of death with "Video TDR failure".
I have an NVIDIA 1080ti GPU with AI using CUDA 11.7 Same result using Object Detection (YOLOv5 .NET) 1.7.1 and Object Detection (YOLOv5 6.2) 1.7.1 Blue screen of death with
stop code: VIDEO TDR FAILURE
what failed: nvlddmkm.sys
Server version: 2.3.4-Beta
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: AMD Ryzen 7 3700X 8-Core Processor (AMD)
1 CPU x 8 cores. 16 logical processors (x64)
GPU: NVIDIA GeForce GTX 1080 Ti (11 GiB) (NVIDIA)
Driver: 516.01 CUDA: 11.7.64 (max supported: 11.7) Compute: 6.1
System RAM: 16 GiB
Target: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.5
Video adapter info:
NVIDIA GeForce GTX 1080 Ti:
Driver Version 31.0.15.1601
Video Processor NVIDIA GeForce GTX 1080 Ti
System GPU info:
GPU 3D Usage 11%
GPU RAM Usage 1.2 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Here is some of the LOG FILE INFO:
2023-11-26 14:25:47: ObjectDetectionNet ended after 32 ms
2023-11-26 14:26:05: Command: execute
2023-11-26 14:26:05:
2023-11-26 14:26:05: Attempting to start ObjectDetectionNet with C:\Program Files\CodeProject\AI\modules\ObjectDetectionNet\ObjectDetectionNet.exe
2023-11-26 14:26:05: Starting C:\Program Files...ctionNet\ObjectDetectionNet.exe
2023-11-26 14:26:05:
2023-11-26 14:26:05: ** Module 'Object Detection (YOLOv5 .NET)' 1.7.1 (ID: ObjectDetectionNet)
2023-11-26 14:26:05: ** Module Path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionNet
2023-11-26 14:26:05: ** AutoStart: True
2023-11-26 14:26:05: ** Queue: objectdetection_queue
2023-11-26 14:26:05: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-11-26 14:26:05: ** GPU Libraries: installed if available
2023-11-26 14:26:05: ** GPU Enabled: disabled
2023-11-26 14:26:05: ** Parallelism: 0
2023-11-26 14:26:05: ** Accelerator:
2023-11-26 14:26:05: ** Half Precis.: enable
2023-11-26 14:26:05: ** Runtime: execute
2023-11-26 14:26:05: ** Runtime Loc: Shared
2023-11-26 14:26:05: ** FilePath: ObjectDetectionNet.exe
2023-11-26 14:26:05: ** Pre installed: False
2023-11-26 14:26:05: ** Start pause: 1 sec
2023-11-26 14:26:05: ** LogVerbosity:
2023-11-26 14:26:05: ** Valid: True
2023-11-26 14:26:05: ** Environment Variables
2023-11-26 14:26:05: ** CPAI_MODULE_ENABLE_GPU = True
2023-11-26 14:26:05: ** CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%\custom-models
2023-11-26 14:26:05: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-11-26 14:26:05: ** MODEL_SIZE = MEDIUM
2023-11-26 14:26:05: ** USE_CUDA = True
2023-11-26 14:26:05:
2023-11-26 14:26:05: Started Object Detection (YOLOv5 .NET) module
2023-11-26 14:26:06: ObjectDetectionNet.exe: Application started. Press Ctrl+C to shut down.
2023-11-26 14:26:06: ObjectDetectionNet.exe: Hosting environment: Production
2023-11-26 14:26:06: ObjectDetectionNet.exe: Content root path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionNet
2023-11-26 14:26:07: Object Detection (YOLOv5 .NET): Object Detection (YOLOv5 .NET) module started. in Object Detection (YOLOv5 .NET)
2023-11-26 14:26:26: Sending shutdown request to ObjectDetectionNet/ObjectDetectionNet
2023-11-26 14:26:26: Client request 'Quit' in queue 'objectdetection_queue' (#reqid ea414935-c7c3-4110-9f29-b195546f6fe8)
2023-11-26 14:26:26: Request 'Quit' dequeued from 'objectdetection_queue' (#reqid ea414935-c7c3-4110-9f29-b195546f6fe8)
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-11-26 14:26:26: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-11-26 14:26:26: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-11-26 14:26:26: ObjectDetectionNet.exe: Unable to get request from objectdetection_queue for ObjectDetectionNet
2023-11-26 14:26:26: ObjectDetectionNet.exe: Shutdown signal received. Ending loop
2023-11-26 14:26:30: Sending shutdown request to python/ObjectDetectionYolo
2023-11-26 14:26:30: Client request 'Quit' in queue 'objectdetection_queue' (#reqid a332a1c2-7a7a-4049-90a9-e26955ff25b6)
2023-11-26 14:26:30: Request 'Quit' dequeued from 'objectdetection_queue' (#reqid a332a1c2-7a7a-4049-90a9-e26955ff25b6)
2023-11-26 14:26:30: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command in Object Detection (YOLOv5 6.2)
2023-11-26 14:26:33: ** Module ObjectDetectionYolo has shutdown
2023-11-26 14:26:33: detect_adapter.py: has exited
2023-11-26 14:26:59: Forcing shutdown of ObjectDetectionNet/ObjectDetectionNet
2023-11-26 14:26:59: Waiting for ObjectDetectionNet to end.
2023-11-26 14:26:59: ** Module ObjectDetectionNet has shutdown
2023-11-26 14:26:59: ObjectDetectionNet.exe: has exited
2023-11-26 14:26:59: ObjectDetectionNet ended after 38 ms
2023-11-26 14:26:59: Command: execute
2023-11-26 14:26:59:
2023-11-26 14:26:59: Attempting to start ObjectDetectionNet with C:\Program Files\CodeProject\AI\modules\ObjectDetectionNet\ObjectDetectionNet.exe
2023-11-26 14:26:59: Starting C:\Program Files...ctionNet\ObjectDetectionNet.exe
2023-11-26 14:26:59:
2023-11-26 14:26:59: ** Module 'Object Detection (YOLOv5 .NET)' 1.7.1 (ID: ObjectDetectionNet)
2023-11-26 14:26:59: ** Module Path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionNet
2023-11-26 14:26:59: ** AutoStart: True
2023-11-26 14:26:59: ** Queue: objectdetection_queue
2023-11-26 14:26:59: ** Platforms: windows,linux,linux-arm64,macos,macos-arm64
2023-11-26 14:26:59: ** GPU Libraries: installed if available
2023-11-26 14:26:59: ** GPU Enabled: disabled
2023-11-26 14:26:59: ** Parallelism: 0
2023-11-26 14:26:59: ** Accelerator:
2023-11-26 14:26:59: ** Half Precis.: enable
2023-11-26 14:26:59: ** Runtime: execute
2023-11-26 14:26:59: ** Runtime Loc: Shared
2023-11-26 14:26:59: ** FilePath: ObjectDetectionNet.exe
2023-11-26 14:26:59: ** Pre installed: False
2023-11-26 14:26:59: ** Start pause: 1 sec
2023-11-26 14:26:59: ** LogVerbosity:
2023-11-26 14:26:59: ** Valid: True
2023-11-26 14:26:59: ** Environment Variables
2023-11-26 14:26:59: ** CPAI_MODULE_ENABLE_GPU = True
2023-11-26 14:26:59: ** CUSTOM_MODELS_DIR = %CURRENT_MODULE_PATH%\custom-models
2023-11-26 14:26:59: ** MODELS_DIR = %CURRENT_MODULE_PATH%\assets
2023-11-26 14:26:59: ** MODEL_SIZE = MEDIUM
2023-11-26 14:26:59: ** USE_CUDA = True
2023-11-26 14:26:59:
2023-11-26 14:26:59: Started Object Detection (YOLOv5 .NET) module
2023-11-26 14:27:00: ObjectDetectionNet.exe: Application started. Press Ctrl+C to shut down.
2023-11-26 14:27:00: ObjectDetectionNet.exe: Hosting environment: Production
2023-11-26 14:27:00: ObjectDetectionNet.exe: Content root path: C:\Program Files\CodeProject\AI\modules\ObjectDetectionNet
2023-11-26 14:27:01: Object Detection (YOLOv5 .NET): Object Detection (YOLOv5 .NET) module started. in Object Detection (YOLOv5 .NET)
2023-11-26 14:27:03: ObjectDetectionYolo went quietly
|
|
|
|
General 
News 
Suggestion 
Question 
Bug 
Answer 
Joke 
Praise 
Rant 
Admin 
Submit an article or tip
