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Server version: 2.6.2
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i7-6700T CPU @ 2.80GHz (Intel)
1 CPU x 4 cores. 8 logical processors (x64)
GPU (Primary): NVIDIA GeForce GTX 960 (4 GiB) (NVIDIA)
Driver: 552.12, CUDA: 12.4 (up to: 12.4), Compute: 5.2, cuDNN:
System RAM: 16 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.5
.NET SDK: Not found
Default Python: Not found
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
NVIDIA GeForce GTX 960:
Driver Version 31.0.15.5212
Video Processor NVIDIA GeForce GTX 960
Microsoft Remote Display Adapter:
Driver Version 10.0.19041.3636
Video Processor
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 2.8 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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Sorry, one more thing. In C:/Program Files/CodeProject/AI/modules/ObjectDetectionYOLOv8 you will find a install.log file. Can you please share that with us?
Thanks,
Sean Ewington
CodeProject
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Hi,
Sorry, if I am sounding like a broken record, as this is my second time asking for help with the Coral module not starting. But since v2.2 and the one before and even with the newest v2.2.2 of the Coral object detection. I have been unable to actually get the module to work.
The last time I asked, it was an issue with selecting Multi-TPU support, which fixed it and allow the module to start.
However, ever since that release, it has been unable to start, falling back to CPU. Everything I've tried , changing models, changing size of models, re-installing, enabling Multi-TPU results in the same. The module fails to start or falls back to CPU.
The service also restarts most of the time (on windows) as well?
Below fails to start
Any suggests would be appreciated?
Thanks
12:17:58:Server version: 2.6.2
12:18:01:
12:18:01:Module 'Object Detection (Coral)' 2.2.2 (ID: ObjectDetectionCoral)
12:18:01:Valid: True
12:18:01:Module Path: <root>\modules\ObjectDetectionCoral
12:18:01:AutoStart: True
12:18:01:Queue: objectdetection_queue
12:18:01:Runtime: python3.9
12:18:01:Runtime Loc: Local
12:18:01:FilePath: objectdetection_coral_adapter.py
12:18:01:Start pause: 1 sec
12:18:01:Parallelism: 16
12:18:01:LogVerbosity:
12:18:01:Platforms: all
12:18:01:GPU Libraries: installed if available
12:18:01:GPU Enabled: enabled
12:18:01:Accelerator:
12:18:01:Half Precis.: enable
12:18:01:Environment Variables
12:18:01:CPAI_CORAL_MODEL_NAME = EfficientDet-Lite
12:18:01:CPAI_CORAL_MULTI_TPU = True
12:18:01:MODELS_DIR = <root>\modules\ObjectDetectionCoral\assets
12:18:01:MODEL_SIZE = small
12:18:01:
12:18:01:Started Object Detection (Coral) module
12:18:04:Server: This is the latest version
modified 13hrs ago.
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No need to apologise. Let's get this sorted.
Can you remind me what system you're on (you mentioned Windows). Are you using Blue Iris? If so, disable the start/stop CodeProject.AI within Blue Iris and just let CodeProject.AI run without being stopped.
Are you using a Coral USB or PCIe unit? USB on Windows is really unstable. Seth has done a ton of digging and feels there are memory issues with the Coral library. My personal experience is it works till it doesn't then it's a matter of shutting down the module, switching to a different USB port, restarting, then it works. No issues on Linux, though, which I assume was a focus of the Coral dev team.
cheers
Chris Maunder
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Thanks Chris!
Yes, I'm running on Windows with BI, I felt that it would be speedier rather than having CPAI run on a different host.
I've made the adjustment in BI, ie unchecked the start/stop
I'm running the USB version of Coral on Windows, yes, I've been doing that , shutting down and switching to a different USB port. It use to work great, until v2 of the module. After, the last question about the Coral TPU on here!
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As far as I know there are no memory problems with the Coral module in the latest code. When I ran some longer tests, the memory consumption grew, but leveled off at around 1.1 gb of usage. This points me to Python memory fragmentation, which isn’t really a problem or something I can fix. (AFAIK)
Unfortunately, I don’t have a USB module so I can’t debug anything there. It may be worthwhile for me to get one just for that reason…
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Server version: 2.6.2
System: Windows
Operating System: Windows (Microsoft Windows 11 version 10.0.22631)
20:58:09:Preparing to install module 'FaceProcessing'
20:58:09:Downloading module 'FaceProcessing'
20:58:09:Unable to download module 'FaceProcessing' from https://www.codeproject.com/KB/articles/5348853/FaceProcessing-1.10.2.zip. Error: No bytes downloaded
modified 13hrs ago.
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We missed deploying that file.
I've fixed it and you should be good to go in about 5 minutes.
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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Installing the Coral Module fails with:
Unable to download module 'ObjectDetectionCoral' from https://www.codeproject.com/KB/articles/5348853/ObjectDetectionCoral-2.2.2.zip. Error: No bytes downloaded
Looks like if you change the version to 2.2.0 you can manually download it.
Server version: 2.6.2
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
1 CPU x 4 cores. 8 logical processors (x64)
GPU (Primary): Microsoft Remote Display Adapter (Microsoft)
Driver: 10.0.19041.3636
System RAM: 32 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.5
.NET SDK: Not found
Default Python: Not found
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
Microsoft Remote Display Adapter:
Driver Version 10.0.19041.3636
Video Processor
Intel(R) HD Graphics 530:
Driver Version 27.20.100.9664
Video Processor Intel(R) HD Graphics Family
System GPU info:
GPU 3D Usage 2%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
modified 13hrs ago.
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Came here looking for solutions to this download issue.
I've managed to get the v2.2.0.zip to download, but I'm unsure of the installation methods. Any hints you can point me to?
Cheers, -Ian
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Directions to install/re-install a module are found above in the Readme First post.
I tried to do that after downloading 2.2.0 and the installer said it was unable to install:
Installing CodeProject.AI Analysis Module
======================================================================
CodeProject.AI Installer
======================================================================
74.0Gb of 237Gb available on
General CodeProject.AI setup
Creating Directories...done
GPU support
CUDA Present...No
ROCm Present...No
Reading ObjectDetectionCoral-2.2.0 settings.......done
Installing module ObjectDetectionCoral-2.2.0
This module cannot be installed on this system
Setup complete
Total setup time 00:00:01.92
c:\Program Files\CodeProject\AI\modules\ObjectDetectionCoral-2.2.0>
-Jason
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I also have this issue 
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I'm actually having issues downloading v2.2.2 - keep on getting no bytes downloaded.
Even wget has difficulties actually downloading anything?
I would assume that there are issues with the file hosting?
BTW, I have v2.2 installed but can't get v2.2 to even start, with any options
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Seems like just a corrupted 2.2.2 package on the site.
Calling @chris-maunder to re-upload the zip file.
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Matthew has redeployed so it may be worth trying again, with cache disabled.
cheers
Chris Maunder
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Coral 2.2.2 Update now works for me, thanks for fixing...
Although YOLOv8 1.4.3 also fails to download with the same error I had for Coral
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Please try again. Should be good now.
Thanks,
Sean Ewington
CodeProject
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Works now, thanks for fixing 
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Running Ubuntu 22.04. Upon reboot, YOLOv5.NET keeps getting reinstalled on reboot. Any way to stop this?
Thanks
-- modified 16-Apr-24 12:10pm.
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We just identified and fixed the error. We'll have a new release soon.
cheers
Chris Maunder
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Could you please send a copy of the System Info tab
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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And are you running the server in Docker.
If so, how are you starting it?
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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Server version: 2.6.2
System: Docker (9da8bba89b16)
Operating System: Linux (Ubuntu 22.04)
CPUs: QEMU Virtual CPU version 2.5+
1 CPU x 8 cores. 8 logical processors (x64)
GPU (Primary): NVIDIA GeForce RTX 3060 (12 GiB) (NVIDIA)
Driver: 535.171.04, CUDA: 12.2 (up to: 12.2), Compute: 8.6, cuDNN: 8.9.6
System RAM: 8 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Docker
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.17
.NET SDK: Not found
Default Python: 3.10.12
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 2.9 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
I'm starting it using Docker CLI.
I also submitted <a href="https://www.codeproject.com/Messages/5995996/Cant-uninstall-without-updating">this</a> which would be great if it could get resolved since it means to uninstall, I need to first update and then uninstall.
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Server version: 2.6.2
System: Linux
Operating System: Linux (Ubuntu 22.04)
CPUs: QEMU Virtual CPU version 2.5+
1 CPU x 4 cores. 4 logical processors (x64)
System RAM: 8 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.17
.NET SDK: 7.0.117
Default Python: 3.10.12
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
Device 1234:
Driver Version
Video Processor
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
I've installed CodeProject.AI on an Ubuntu VM in Proxmox. I'm having issues with getting it to run when the VM is restarted. CP.AI continually shuts down and restarts. I've scoured the net for possible issues and can't find anything so forgive me if it's something obvious  . The only way I can get it to run most of the time is to stop the service and run it manually running the script bash /usr/bin/codeproject.ai-server-2.6.2/start.sh.
I'm using CP.AI with Blue Iris for my home security cameras. I tried installing it in the Windows VM with Blue Iris however, that had significant install problems and then wouldn't run properly and consumed heaps of resources. When I can get CP.AI to run in the Ubuntu VM, it works a lot better than it was in Windows. I had some minor reports during the install and I'm unsure if these have any major impact on how it's running. They're pasted below.
If anyone can advise on how best to troubleshoot and get this running reliably that would be appreciated.
15:27:27:FaceProcessing: stty: 'standard input': Inappropriate ioctl for device
15:27:30:FaceProcessing: Creating Virtual Environment (Shared)... done
15:27:30:FaceProcessing: Checking for Python 3.8...(Found Python 3.8.19) All good
15:27:34:FaceProcessing: Upgrading PIP in virtual environment... done
15:27:36:FaceProcessing: Installing updated setuptools in venv... done
15:34:57:FaceProcessing: Downloading Face models...Expanding... done.
15:34:57:FaceProcessing: Moving contents of models-face-pt.zip to assets...done.
15:34:57:FaceProcessing: Installing Python packages for Face Processing
15:34:57:FaceProcessing: Installing GPU-enabled libraries: If available
15:34:57:FaceProcessing: Searching for python3-pip...All good.
15:34:57:FaceProcessing: stty: 'standard input': Inappropriate ioctl for device
15:36:09:FaceProcessing: - Installing Pillow, a Python Image Library... (❌ failed check) done
15:39:16:ObjectDetectionYOLOv5Net: Creating models download folder...Needs admin permission to create folder
16:16:25:detect_adapter.py: Traceback (most recent call last):
16:16:25:detect_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYOLOv5-6.2/detect_adapter.py", line 20, in
16:16:25:detect_adapter.py: from detect import do_detection
16:16:25:detect_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYOLOv5-6.2/detect.py", line 8, in
16:16:25:detect_adapter.py: from yolov5.models.common import DetectMultiBackend, AutoShape
16:16:25:detect_adapter.py: ModuleNotFoundError: No module named 'yolov5'
16:16:26:Module ObjectDetectionYOLOv5-6.2 has shutdown
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