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Not sure if this is a similar issue.
I'm running CPAI v2.6.5 in a Docker container, CPU no CUDA, running in Linux Mint 21.2. Blue Iris is running in a Windows 10 VM.
I randomly get these errors in the logs :-
11:17:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:03:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...c92ba6) ['Found person'] took 235ms
11:17:03:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...9d98dc) ['Found person'] took 287ms
11:17:03:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...9d0db5) ['Found person'] took 315ms
11:17:03:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...f491c2) ['Found person'] took 276ms
11:17:03:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...ad6b97)
11:17:03:Object Detection (YOLOv5 6.2): [RuntimeError] : Traceback (most recent call last):
File "/app/preinstalled-modules/ObjectDetectionYOLOv5-6.2/detect.py", line 141, in do_detection
det = detector(img, size=640)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/yolov5/models/common.py", line 705, in forward
y = self.model(x, augment=augment) # forward
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/yolov5/models/common.py", line 515, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/yolov5/models/yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "/usr/local/lib/python3.8/dist-packages/yolov5/models/yolo.py", line 121, in _forward_once
x = m(x) # run
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/yolov5/models/yolo.py", line 74, in forward
xy = (xy * 2 + self.grid[i]) * self.stride[i] # xy
RuntimeError: The size of tensor a (60) must match the size of tensor b (48) at non-singleton dimension 2
11:17:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:03:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...3e06bb) ['Found person'] took 286ms
11:17:03:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:03:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...763521) ['Found person'] took 171ms
11:17:03:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...24956a) ['Found person'] took 152ms
11:17:04:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:04:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:04:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...e74617) ['Found person'] took 107ms
11:17:04:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...fc3cf2) ['Found person'] took 112ms
11:17:41:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:41:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:41:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:41:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:41:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...2105e0) ['Found person'] took 209ms
11:17:41:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...16dbff) ['Found person'] took 217ms
11:17:41:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:41:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:41:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...5db6db) ['Found person'] took 301ms
11:17:41:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...84eb3d) ['Found person'] took 321ms
11:17:41:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:41:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...295089) ['Found person'] took 225ms
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...bf8b54) ['Found person'] took 239ms
11:17:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...6c3d47) ['No objects found'] took 321ms
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...2a2db6) ['No objects found'] took 346ms
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...2d20c3) ['Found person'] took 278ms
11:17:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...c15b4f) ['No objects found'] took 327ms
11:17:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...916432) ['Found person'] took 331ms
11:17:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...6d18a9) ['No objects found'] took 295ms
11:17:42:Object Detection (YOLOv5 6.2): [RuntimeError] : Traceback (most recent call last):
File "/app/preinstalled-modules/ObjectDetectionYOLOv5-6.2/detect.py", line 141, in do_detection
det = detector(img, size=640)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/yolov5/models/common.py", line 705, in forward
y = self.model(x, augment=augment) # forward
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/yolov5/models/common.py", line 515, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/yolov5/models/yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "/usr/local/lib/python3.8/dist-packages/yolov5/models/yolo.py", line 121, in _forward_once
x = m(x) # run
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/yolov5/models/yolo.py", line 74, in forward
xy = (xy * 2 + self.grid[i]) * self.stride[i] # xy
RuntimeError: The size of tensor a (48) must match the size of tensor b (60) at non-singleton dimension 2
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...fab41f)
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...ac344d) ['Found person'] took 201ms
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...85f20d) ['No objects found'] took 157ms
11:17:42:Object Detection (YOLOv5 6.2): Detecting using ipcam-combined
11:17:42:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...57a27c) ['No objects found'] took 95ms
This has been happening for a long time on previous versions. I cna't remember when it started but it was a lot of version ago. I put it down to Blue Iris sending too many requests too close together and haven't bothered reporting it until I saw this thread. It doesn't really cause a problem as the error clears very quickly and detection continues as normal.
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Hello,
Since Raspberry just announced their new "Raspberry Pi AI Kit" ( https://www.raspberrypi.com/products/ai-kit/[^] ) what would the possibility of getting a Hailo AI module natively added to CP.AI? I'm currently using a dual edge Coral TPU on my Pi5 but it has it's limitations
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Yeah I saw that - $70 for some serious power is pretty awesome.
The Hailo stack seems straightforward (though their site leaves something to be desired). Without access to the hardware we can't do anything here, but I'm sure it would be a very straightforward exercise for someone to adapt any of the existing object detection modules to use the Hailo models and TensorRT. The segmentation example, for instance, seems super simple.
cheers
Chris Maunder
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I'm actually getting one in the next few days and can help with anyway possible to get it up and running Just let me know
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This looks very interesting; like the Coral TPU, but more modern. Google's lack of Coral support over the past few years has been concerning to me about the future of the platform. It won't take too many more years for Coral to no longer be competitive. I see it runs YOLOv5m at 640x640 at 218 FPS on their benchmarks page. (I just benchmarked YOLOv8m 640x640 model running at 2.8 FPS on Coral. If you reduce the size to 352x608 it runs 5.3 FPS, which is about as fast as you can get it to go on the Coral.)
I'm definitely interested in how well it works and how well my Coral TPU learnings/code port to it. What model did you order & where did you find it for $70? This is the only M.2 I see actually immediately available (and I don't see _any_ PCIe cards available):
https://eshop.aaeon.com/ai-edge-computing-hailo-8-m2-2280-module.html[^]
I see that they sell a $170 'starter kit' which looks effectively the same as the above card, but I'd need to fill in my work details, which I'm less comfortable with.
Order Hailo-8 Starter Kit | Hailo AI Processing Technology[^]
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I ordered the kit from PiShop at Raspberry Pi AI Kit - PiShop.us[^] . It stated a preorder but shipped last week and will be arriving tomorrow. I'm not sure why it's listed as $85 when other sites like Canakit have it for the actual $70 (Raspberry Pi AI Kit for Pi 5[^] ) . I hope that it will eventually be sold as a standalone chip instead of having to get the hat with it as well, but my guess is that Raspberry purchased them en masse at a discount and is reselling them at the lower price
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I wonder if I can just buy that kit for $70 and then throw out the M.2 HAT. Weirdly, that may be the most cost-effective way for me to get my hands on one.
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Hi, you got me interested in this Hailo AI acceleration module. Because it seems more cost effective than GPU. How does that work though? Plug and play? I have no idea in this realm. Would that work for YOLOv8? Or it is something that CPAI has to support first?
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CPAI would need to add support for Hailo. Right now I’m having a hard time both getting my hands on the hardware and the developer software, for example.
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All that needs to be done is a module needs to be written. Looking at the example code that's floating around for Hailo it looks like a fairly trivial (half a day?) job.
cheers
Chris Maunder
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System specs below. I borrowed my sons video cards (2060 and 1080) to experiment and watched the system log times in BI, the ms remained unchanged. Last time I did this the response times all dropped under 100ms.
I did not get a screen cap but when the AI starts I get the use CUDA = True.
Is it possible the AI is using the Intel integrated graphics on the CPU instead of the 1050ti??
Server version: 2.6.5
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i7-8086K CPU @ 4.00GHz (Intel)
1 CPU x 6 cores. 12 logical processors (x64)
GPU (Primary): NVIDIA GeForce GTX 1050 Ti (4 GiB) (NVIDIA)
Driver: 555.85, CUDA: 11.8.89 (up to: 12.5), Compute: 6.1, cuDNN: 8.5
System RAM: 16 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.15
.NET SDK: 7.0.405
Default Python: Not found
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
Intel(R) UHD Graphics 630:
Driver Version 31.0.101.2111
Video Processor Intel(R) UHD Graphics Family
NVIDIA GeForce GTX 1050 Ti:
Driver Version 32.0.15.5585
Video Processor NVIDIA GeForce GTX 1050 Ti
System GPU info:
GPU 3D Usage 34%
GPU RAM Usage 3.9 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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Did you install the module with the GPU(s) in place? The installer will install the libraries required for the hardware it sees at the time. It can't install updated libraries and drivers for hardware that's added later.
Try uninstalling / reinstalling the YOLO module with the GPUs in place.
cheers
Chris Maunder
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Hi, the 1050ti was in the system when YOLO was installed. I just upgraded the system from 2.5 RC4 where YOLO was working properly, see screencap below. I will try reinstalling.
thanks!
Quick follow up b4 I reinstall. I did custom and unchecked everything but YOLO8 when I installed, now I have no option to install other modules (see screencap below), is there something I need to check to be able to install other versions of YOLO at a later date if I want to experiment with them?
Thanks!
modified 3-Jun-24 15:39pm.
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So I reinstalled and YOLOv8 is now reporting GPU(CUDA) usage even after a system reboot. Response times in BI seem unchanged so maybe it was using GPU all along.
Will report back in a few days if nothing is changed.
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I just updated the CPAI from 2.6.2 to 2.6.5. For some reason, I'm having problems to download the segmentation model and the custom models for the YOLOv8 for some reason. I've re-installed the YOLOv8 but the problem remains.
When I tried to download the models, I got the following error:
06:21:02:Response rec'd from Object Detection (YOLOv8) command 'segment' (...cad0dd)
06:21:02:Object Detection (YOLOv8): Unable to create YOLO detector for model yolov8m-seg
06:21:09:Preparing to download model 'objectsegmentation-coco-yolov8-pt-nsmlx.zip' for module ObjectDetectionYOLOv8
06:21:09:Downloading model 'objectsegmentation-coco-yolov8-pt-nsmlx.zip' to 'C:\Program Files\CodeProject\AI\downloads\modules\ObjectDetectionYOLOv8\objectsegmentation-coco-yolov8-pt-nsmlx.zip'
06:21:39:Unable to download and install objectsegmentation-coco-yolov8-pt-nsmlx.zip: Unable to download 'objectsegmentation-coco-yolov8-pt-nsmlx.zip'. Error: The request was canceled due to the configured HttpClient.Timeout of 30 seconds elapsing.
06:27:08:Preparing to download model 'objectdetection-custom-yolov8-pt-m.zip' for module ObjectDetectionYOLOv8
06:27:08:Downloading model 'objectdetection-custom-yolov8-pt-m.zip' to 'C:\Program Files\CodeProject\AI\downloads\modules\ObjectDetectionYOLOv8\objectdetection-custom-yolov8-pt-m.zip'
06:27:38:Unable to download and install objectdetection-custom-yolov8-pt-m.zip: Unable to download 'objectdetection-custom-yolov8-pt-m.zip'. Error: The request was canceled due to the configured HttpClient.Timeout of 30 seconds elapsing.
Any idea what could have gone wrong?
Note: I have no problem downloading it when I was using 2.6.2. Not sure if something has changed or not.
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Thanks very much for your report. Could you please share your System Info tab from your CodeProject.AI Server dashboard?
Thanks,
Sean Ewington
CodeProject
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Thanks for that. I realize it's an unlikely culprit, but what's your bandwidth like? Even if there's no issue there, you might consider increasing your ModuleInstallTimeout value in appsettings.json. You can find that in C:\Program Files\CodeProject\AI\Server.
Thanks,
Sean Ewington
CodeProject
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Upload is 72 Mbs, Download is 82 Mbs. I checked the settings you are saying but it seems like it was already set to 20 minutes. However, I noticed the connection time out is 30 seconds. See the log:
22:18:02:Started Object Detection (YOLOv8) module
22:18:04:Server: This is the latest version
22:18:34:Preparing to download model 'objectsegmentation-coco-yolov8-pt-nsmlx.zip' for module ObjectDetectionYOLOv8
22:18:34:Downloading model 'objectsegmentation-coco-yolov8-pt-nsmlx.zip' to 'C:\Program Files\CodeProject\AI\downloads\modules\ObjectDetectionYOLOv8\objectsegmentation-coco-yolov8-pt-nsmlx.zip'
22:19:04:Unable to download and install objectsegmentation-coco-yolov8-pt-nsmlx.zip: Response timeout. Try increasing the timeout value
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Please try setting it for something even higher to see if that does anything. One time a user changed it to a preposterous amount, like several hours, and since then, I've done the same.
Thanks,
Sean Ewington
CodeProject
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I've tried rebooting the Ubuntu Server 22.04 host, restarting the CPAI service, using both toggle options for download cache, but I can't get out of this error on the Coral module install.
Using the 2.6.5 debian version.
EDIT: This error happens on attempt to install any module.
Any thoughts?
Trace log output:
07:38:03:Settings file: /usr/bin/codeproject.ai-server-2.6.5/server/installmodules.json exists: False
07:38:03:System: Linux
07:38:03:Operating System: Linux (Ubuntu 22.04)
07:38:03:CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
07:38:03: 1 CPU x 4 cores. 8 logical processors (x64)
07:38:03:GPU (Primary): HD Graphics 530 (rev 06) (Intel Corporation)
07:38:03:System RAM: 31 GiB
07:38:03:Platform: Linux
07:38:03:BuildConfig: Release
07:38:03:Execution Env: Native
07:38:03:Runtime Env: Production
07:38:03:Runtimes installed:
07:38:03: .NET runtime: 7.0.19
07:38:03: .NET SDK: 7.0.119
07:38:03: Default Python: 3.10.12
07:38:03: Go: Not found
07:38:03: NodeJS: Not found
07:38:03: Rust: Not found
07:38:03:App DataDir: /etc/codeproject/ai
07:38:03:Video adapter info:
07:38:03: HD Graphics 530 (rev 06):
07:38:03: Driver Version
07:38:03: Video Processor
07:38:03:STARTING CODEPROJECT.AI SERVER
07:38:03:RUNTIMES_PATH = /usr/bin/codeproject.ai-server-2.6.5/runtimes
07:38:03:PREINSTALLED_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/preinstalled-modules
07:38:03:DEMO_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/src/demos/modules
07:38:03:EXTERNAL_MODULES_PATH =
07:38:03:MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/modules
07:38:03:PYTHON_PATH = /bin/linux/%PYTHON_NAME%/venv/bin/python3
07:38:03:Data Dir = /etc/codeproject/ai
07:38:04:Server version: 2.6.5
07:38:04:ModuleRunner Start
07:38:04:Starting Background AI Modules
07:38:09:Current Version is 2.6.5
07:38:09:Server: This is the latest version
modified 2-Jun-24 8:52am.
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Thanks very much for the report. Could you please share your System Info tab from your CodeProject.AI Server dashboard? Also, could you share the install logs for the module you try (and fail) to install?
Thanks,
Sean Ewington
CodeProject
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You bet, Sean.
System Information:
Server version: 2.6.5
System: Linux
Operating System: Linux (Ubuntu 22.04)
CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
1 CPU x 4 cores. 8 logical processors (x64)
GPU (Primary): HD Graphics 530 (rev 06) (Intel Corporation)
System RAM: 31 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.19
.NET SDK: 7.0.119
Default Python: 3.10.12
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
HD Graphics 530 (rev 06):
Driver Version
Video Processor
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Even setting logging to verbosity to trace, the 404 error on any module install attempt isn't triggering any log entries. Nonetheless, here's my trace log. I am able to remove modules and watch them disappear from the /modules directory, but installing any back is causing issues. Thanks again!
2024-06-02 07:22:17: Settings file: /usr/bin/codeproject.ai-server-2.6.5/server/installmodules.json exists: False
2024-06-02 07:22:17: ** System: Linux
2024-06-02 07:22:17: ** Operating System: Linux (Ubuntu 22.04)
2024-06-02 07:22:17: ** CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
2024-06-02 07:22:17: ** 1 CPU x 4 cores. 8 logical processors (x64)
2024-06-02 07:22:17: ** GPU (Primary): HD Graphics 530 (rev 06) (Intel Corporation)
2024-06-02 07:22:17: ** System RAM: 31 GiB
2024-06-02 07:22:17: ** Platform: Linux
2024-06-02 07:22:17: ** BuildConfig: Release
2024-06-02 07:22:17: ** Execution Env: Native
2024-06-02 07:22:17: ** Runtime Env: Production
2024-06-02 07:22:17: ** Runtimes installed:
2024-06-02 07:22:17: ** .NET runtime: 7.0.19
2024-06-02 07:22:17: ** .NET SDK: 7.0.119
2024-06-02 07:22:17: ** Default Python: 3.10.12
2024-06-02 07:22:17: ** Go: Not found
2024-06-02 07:22:17: ** NodeJS: Not found
2024-06-02 07:22:17: ** Rust: Not found
2024-06-02 07:22:17: ** App DataDir: /etc/codeproject/ai
2024-06-02 07:22:17: Video adapter info:
2024-06-02 07:22:17: HD Graphics 530 (rev 06):
2024-06-02 07:22:17: Driver Version
2024-06-02 07:22:17: Video Processor
2024-06-02 07:22:17: *** STARTING CODEPROJECT.AI SERVER
2024-06-02 07:22:17: RUNTIMES_PATH = /usr/bin/codeproject.ai-server-2.6.5/runtimes
2024-06-02 07:22:17: PREINSTALLED_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/preinstalled-modules
2024-06-02 07:22:17: DEMO_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/src/demos/modules
2024-06-02 07:22:17: EXTERNAL_MODULES_PATH =
2024-06-02 07:22:17: MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/modules
2024-06-02 07:22:17: PYTHON_PATH = /bin/linux/%PYTHON_NAME%/venv/bin/python3
2024-06-02 07:22:17: Data Dir = /etc/codeproject/ai
2024-06-02 07:22:17: ** Server version: 2.6.5
2024-06-02 07:22:17: ModuleRunner Start
2024-06-02 07:22:17: Starting Background AI Modules
2024-06-02 07:22:20: ** Setting up initial modules. Please be patient...
2024-06-02 07:22:20: ** Installing initial module FaceProcessing.
2024-06-02 07:22:20: Preparing to install module 'FaceProcessing'
2024-06-02 07:22:21: Downloading module 'FaceProcessing'
2024-06-02 07:22:21: Installing module 'FaceProcessing'
2024-06-02 07:22:21: Installer script at '/usr/bin/codeproject.ai-server-2.6.5/setup.sh'
2024-06-02 07:22:21: FaceProcessing: Setting verbosity to quiet
2024-06-02 07:22:21: FaceProcessing: [0;36m[49m Installing CodeProject.AI Analysis Module [0m
2024-06-02 07:22:21: FaceProcessing: [0;32m[49m======================================================================[0m
2024-06-02 07:22:21: FaceProcessing: [0;32m[49m CodeProject.AI Installer [0m
2024-06-02 07:22:21: FaceProcessing: [0;32m[49m======================================================================[0m
2024-06-02 07:22:21: FaceProcessing: [0;37m[49m1.02 TiB of 1.00 TiB available on linux[0m
2024-06-02 07:22:21: FaceProcessing: [0;35m[49mInstalling xz-utils...[0m
2024-06-02 07:22:22: FaceProcessing: [0;97m[42mGeneral CodeProject.AI setup [0m
2024-06-02 07:22:22: FaceProcessing: [0;97m[49mSetting permissions on runtimes folder...[0m[0;92m[49mdone[0m
2024-06-02 07:22:22: FaceProcessing: [0;97m[49mSetting permissions on downloads folder...[0m[0;92m[49mdone[0m
2024-06-02 07:22:22: FaceProcessing: [0;97m[49mSetting permissions on modules download folder...[0m[0;92m[49mdone[0m
2024-06-02 07:22:22: FaceProcessing: [0;97m[49mSetting permissions on models download folder...[0m[0;92m[49mdone[0m
2024-06-02 07:22:22: FaceProcessing: [0;97m[49mSetting permissions on persisted data folder...[0m[0;92m[49mdone[0m
2024-06-02 07:22:22: FaceProcessing: [0;97m[42mGPU support [0m
2024-06-02 07:22:22: FaceProcessing: [0;39m[49mCUDA (NVIDIA) Present: [0m[0;33m[49mNo[0m
2024-06-02 07:22:22: FaceProcessing: [0;39m[49mROCm (AMD) Present: [0m[0;33m[49mNo[0m
2024-06-02 07:22:22: FaceProcessing: [0;39m[49mMPS (Apple) Present: [0m[0;33m[49mNo[0m
2024-06-02 07:22:22: FaceProcessing: [0;37m[49mReading module settings[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;92m[49mdone[0m
2024-06-02 07:22:22: FaceProcessing: [0;97m[104mProcessing module FaceProcessing 1.10.2 [0m
2024-06-02 07:22:22: FaceProcessing: [0;39m[49mInstalling Python 3.8[0m
2024-06-02 07:22:22: FaceProcessing: [0;92m[49mPython 3.8 is already installed[0m
2024-06-02 07:22:22: Current Version is 2.6.5
2024-06-02 07:22:22: Server: This is the latest version
2024-06-02 07:22:29: FaceProcessing: [0;97m[49mEnsuring PIP in base python install...[0m [0;92m[49mdone[0m
2024-06-02 07:22:30: FaceProcessing: [0;97m[49mUpgrading PIP in base python install...[0m [0;92m[49mdone[0m
2024-06-02 07:22:30: FaceProcessing: [0;97m[49mInstalling Virtual Environment tools for Linux...[0m
2024-06-02 07:22:31: FaceProcessing: [0;39m[49mSearching for python3-pip python3-setuptools python3.8...[0m[0;92m[49mAll good.[0m
2024-06-02 07:22:33: FaceProcessing: [0;97m[49mCreating Virtual Environment (Shared)...[0m [0;92m[49mdone[0m
2024-06-02 07:22:33: FaceProcessing: [0;97m[49mChecking for Python 3.8...[0m[0;37m[49m(Found Python 3.8.19) [0m[0;92m[49mAll good[0m
2024-06-02 07:22:35: FaceProcessing: [0;97m[49mUpgrading PIP in virtual environment...[0m [0;92m[49mdone[0m
2024-06-02 07:22:37: FaceProcessing: [0;97m[49mInstalling updated setuptools in venv...[0m [0;92m[49mdone[0m
2024-06-02 07:22:59: FaceProcessing: [0;97m[49mDownloading Face models...[0m[0;35m[49mExpanding...[0m [0;92m[49mdone.[0m
2024-06-02 07:22:59: FaceProcessing: [0;39m[49mMoving contents of models-face-pt.zip to assets...[0m[0;92m[49mdone.[0m
2024-06-02 07:22:59: FaceProcessing: [0;39m[49mInstalling Python packages for Face Processing[0m
2024-06-02 07:22:59: FaceProcessing: [0;35m[49mInstalling GPU-enabled libraries: [0m[0;92m[49mIf available[0m
2024-06-02 07:22:59: FaceProcessing: [0;39m[49mSearching for python3-pip...[0m[0;92m[49mAll good.[0m
2024-06-02 07:23:01: FaceProcessing: [0;97m[49mEnsuring PIP compatibility...[0m [0;92m[49mdone[0m
2024-06-02 07:23:01: FaceProcessing: [0;35m[49mPython packages will be specified by requirements.linux.txt[0m
2024-06-02 07:23:08: FaceProcessing: [0;97m[49m - Installing Pandas, a data analysis / data manipulation tool...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:23:18: FaceProcessing: [0;97m[49m - Installing CoreMLTools, for working with .mlmodel format models...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:23:23: FaceProcessing: [0;97m[49m - Installing OpenCV, the Open source Computer Vision library...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:23:24: FaceProcessing: [0;97m[49m - Installing Pillow, a Python Image Library...[0m [0;91m[49m(❌ failed check) [0m[0;92m[49mdone[0m
2024-06-02 07:23:30: FaceProcessing: [0;97m[49m - Installing SciPy, a library for mathematics, science, and engineering...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:23:30: FaceProcessing: [0;97m[49m - Installing PyYAML, a library for reading configuration files...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:23:49: FaceProcessing: [0;97m[49m - Installing Torch, for Tensor computation and Deep neural networks...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:24:10: FaceProcessing: [0;97m[49m - Installing TorchVision, for Computer Vision based AI...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:24:22: FaceProcessing: [0;97m[49m - Installing Seaborn, a data visualization library based on matplotlib...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:24:22: FaceProcessing: [0;39m[49mInstalling Python packages for the CodeProject.AI Server SDK[0m
2024-06-02 07:24:22: FaceProcessing: [0;39m[49mSearching for python3-pip...[0m[0;92m[49mAll good.[0m
2024-06-02 07:24:24: FaceProcessing: [0;97m[49mEnsuring PIP compatibility...[0m [0;92m[49mdone[0m
2024-06-02 07:24:24: FaceProcessing: [0;35m[49mPython packages will be specified by requirements.txt[0m
2024-06-02 07:24:24: FaceProcessing: [0;97m[49m - Installing Pillow, a Python Image Library...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:24:27: FaceProcessing: [0;97m[49m - Installing Charset normalizer...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:24:30: FaceProcessing: [0;97m[49m - Installing aiohttp, the Async IO HTTP library...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:24:32: FaceProcessing: [0;97m[49m - Installing aiofiles, the Async IO Files library...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:24:34: FaceProcessing: [0;97m[49m - Installing py-cpuinfo to allow us to query CPU info...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:24:37: FaceProcessing: [0;97m[49m - Installing Requests, the HTTP library...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:24:37: FaceProcessing: [0;39m[49mScanning modulesettings for downloadable models...[0m[0;37m[49mNo models specified[0m
2024-06-02 07:24:42: FaceProcessing: Fusing layers...
2024-06-02 07:24:42: FaceProcessing: YOLOv5m summary: 316 layers, 21468630 parameters, 0 gradients
2024-06-02 07:24:46: FaceProcessing: [0;39m[49mSelf test: [0m[0;92m[49mSelf-test passed[0m
2024-06-02 07:24:46: FaceProcessing: [0;39m[49mModule setup time 00:02:24[0m
2024-06-02 07:24:46: FaceProcessing: [0;97m[42m Setup complete [0m
2024-06-02 07:24:46: FaceProcessing: [0;39m[49mTotal setup time 00:02:25[0m
2024-06-02 07:24:46: Module FaceProcessing installed successfully.
2024-06-02 07:24:46: Installer exited with code 0
2024-06-02 07:24:46: ** Installing initial module ObjectDetectionYOLOv5Net.
2024-06-02 07:24:46: Preparing to install module 'ObjectDetectionYOLOv5Net'
2024-06-02 07:24:46: Downloading module 'ObjectDetectionYOLOv5Net'
2024-06-02 07:24:46: Running module using: /usr/bin/codeproject.ai-server-2.6.5/runtimes/bin/linux/python38/venv/bin/python3
2024-06-02 07:24:46:
2024-06-02 07:24:46: Attempting to start FaceProcessing with /usr/bin/codeproject.ai-server-2.6.5/runtimes/bin/linux/python38/venv/bin/python3 "/usr/bin/codeproject.ai-server-2.6.5/modules/FaceProcessing/intelligencelayer/face.py"
2024-06-02 07:24:46: Starting /usr...untimes/bin/linux/python38/venv/bin/python3 "/usr.../FaceProcessing/intelligencelayer/face.py"
2024-06-02 07:24:46:
2024-06-02 07:24:46: ** Module 'Face Processing' 1.10.2 (ID: FaceProcessing)
2024-06-02 07:24:46: ** Valid: True
2024-06-02 07:24:46: ** Module Path: <root>/modules/FaceProcessing
2024-06-02 07:24:46: ** Module Location: Internal
2024-06-02 07:24:46: ** AutoStart: True
2024-06-02 07:24:46: ** Queue: faceprocessing_queue
2024-06-02 07:24:46: ** Runtime: python3.8
2024-06-02 07:24:46: ** Runtime Location: Shared
2024-06-02 07:24:46: ** FilePath: intelligencelayer/face.py
2024-06-02 07:24:46: ** Start pause: 3 sec
2024-06-02 07:24:46: ** Parallelism: 0
2024-06-02 07:24:46: ** LogVerbosity:
2024-06-02 07:24:46: ** Platforms: all,!jetson
2024-06-02 07:24:46: ** GPU Libraries: installed if available
2024-06-02 07:24:46: ** GPU: use if supported
2024-06-02 07:24:46: ** Accelerator:
2024-06-02 07:24:46: ** Half Precision: enable
2024-06-02 07:24:46: ** Environment Variables
2024-06-02 07:24:46: ** APPDIR = <root>/modules/FaceProcessing/intelligencelayer
2024-06-02 07:24:46: ** DATA_DIR = /etc/codeproject/ai
2024-06-02 07:24:46: ** MODE = MEDIUM
2024-06-02 07:24:46: ** MODELS_DIR = <root>/modules/FaceProcessing/assets
2024-06-02 07:24:46: ** PROFILE = desktop_gpu
2024-06-02 07:24:46: ** USE_CUDA = True
2024-06-02 07:24:46: ** YOLOv5_AUTOINSTALL = false
2024-06-02 07:24:46: ** YOLOv5_VERBOSE = false
2024-06-02 07:24:46:
2024-06-02 07:24:46: Started Face Processing module
2024-06-02 07:24:47: Installing module 'ObjectDetectionYOLOv5Net'
2024-06-02 07:24:47: Installer script at '/usr/bin/codeproject.ai-server-2.6.5/setup.sh'
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: Setting verbosity to quiet
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;36m[49m Installing CodeProject.AI Analysis Module [0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;32m[49m======================================================================[0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;32m[49m CodeProject.AI Installer [0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;32m[49m======================================================================[0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;37m[49m1.02 TiB of 1.00 TiB available on linux[0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;35m[49mInstalling xz-utils...[0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;97m[42mGeneral CodeProject.AI setup [0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;97m[49mSetting permissions on runtimes folder...[0m[0;92m[49mdone[0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;97m[49mSetting permissions on downloads folder...[0m[0;92m[49mdone[0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;97m[49mSetting permissions on modules download folder...[0m[0;92m[49mdone[0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;97m[49mSetting permissions on models download folder...[0m[0;92m[49mdone[0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;97m[49mSetting permissions on persisted data folder...[0m[0;92m[49mdone[0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;97m[42mGPU support [0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;39m[49mCUDA (NVIDIA) Present: [0m[0;33m[49mNo[0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;39m[49mROCm (AMD) Present: [0m[0;33m[49mNo[0m
2024-06-02 07:24:47: ObjectDetectionYOLOv5Net: [0;39m[49mMPS (Apple) Present: [0m[0;33m[49mNo[0m
2024-06-02 07:24:48: ObjectDetectionYOLOv5Net: [0;37m[49mReading module settings[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;92m[49mdone[0m
2024-06-02 07:24:48: ObjectDetectionYOLOv5Net: [0;97m[104mProcessing module ObjectDetectionYOLOv5Net 1.10.1 [0m
2024-06-02 07:24:49: Module FaceProcessing started successfully.
2024-06-02 07:24:51: face.py: Vision AI services setup: Retrieving environment variables...
2024-06-02 07:24:51: face.py: APPDIR: /usr/bin/codeproject.ai-server-2.6.5/modules/FaceProcessing/intelligencelayer
2024-06-02 07:24:51: face.py: PROFILE: desktop_cpu
2024-06-02 07:24:51: face.py: USE_CUDA: False
2024-06-02 07:24:51: face.py: DATA_DIR: /etc/codeproject/ai
2024-06-02 07:24:51: face.py: MODELS_DIR: /usr/bin/codeproject.ai-server-2.6.5/modules/FaceProcessing/assets
2024-06-02 07:24:51: face.py: MODE: MEDIUM
2024-06-02 07:24:51: face.py: Running init for Face Processing
2024-06-02 07:24:59: ObjectDetectionYOLOv5Net: [0;97m[49mDownloading ObjectDetectionYOLOv5Net-CPU-1.10.1.zip...[0m[0;35m[49mExpanding...[0m [0;92m[49mdone.[0m
2024-06-02 07:24:59: ObjectDetectionYOLOv5Net: [0;39m[49mMoving contents of ObjectDetectionYOLOv5Net-CPU-1.10.1.zip to bin...[0m[0;92m[49mdone.[0m
2024-06-02 07:25:15: ObjectDetectionYOLOv5Net: [0;97m[49mDownloading YOLO ONNX models...[0m[0;35m[49mExpanding...[0m [0;92m[49mdone.[0m
2024-06-02 07:25:15: ObjectDetectionYOLOv5Net: [0;39m[49mMoving contents of yolonet-models.zip to assets...[0m[0;92m[49mdone.[0m
2024-06-02 07:25:26: ObjectDetectionYOLOv5Net: [0;97m[49mDownloading Custom YOLO ONNX models...[0m[0;35m[49mExpanding...[0m [0;92m[49mdone.[0m
2024-06-02 07:25:26: ObjectDetectionYOLOv5Net: [0;39m[49mMoving contents of yolonet-custom-models.zip to custom-models...[0m[0;92m[49mdone.[0m
2024-06-02 07:25:26: ObjectDetectionYOLOv5Net: [0;39m[49mScanning modulesettings for downloadable models...[0m[0;37m[49mNo models specified[0m
2024-06-02 07:25:27: ObjectDetectionYOLOv5Net: [0;39m[49mSelf test: [0m[0;91m[49mSelf-test failed[0m
2024-06-02 07:25:27: ObjectDetectionYOLOv5Net: [0;39m[49mModule setup time 00:00:40[0m
2024-06-02 07:25:27: ObjectDetectionYOLOv5Net: [0;97m[42m Setup complete [0m
2024-06-02 07:25:27: ObjectDetectionYOLOv5Net: [0;39m[49mTotal setup time 00:00:40[0m
2024-06-02 07:25:27: Module ObjectDetectionYOLOv5Net installed successfully.
2024-06-02 07:25:27: Installer exited with code 0
2024-06-02 07:25:27: ** Installing initial module ObjectDetectionYOLOv5-6.2.
2024-06-02 07:25:27: Preparing to install module 'ObjectDetectionYOLOv5-6.2'
2024-06-02 07:25:27: Downloading module 'ObjectDetectionYOLOv5-6.2'
2024-06-02 07:25:27: Module ObjectDetectionYOLOv5Net not configured to AutoStart.
2024-06-02 07:25:27: Installing module 'ObjectDetectionYOLOv5-6.2'
2024-06-02 07:25:27: Installer script at '/usr/bin/codeproject.ai-server-2.6.5/setup.sh'
2024-06-02 07:25:27: ObjectDetectionYOLOv5-6.2: Setting verbosity to quiet
2024-06-02 07:25:27: ObjectDetectionYOLOv5-6.2: [0;36m[49m Installing CodeProject.AI Analysis Module [0m
2024-06-02 07:25:27: ObjectDetectionYOLOv5-6.2: [0;32m[49m======================================================================[0m
2024-06-02 07:25:27: ObjectDetectionYOLOv5-6.2: [0;32m[49m CodeProject.AI Installer [0m
2024-06-02 07:25:27: ObjectDetectionYOLOv5-6.2: [0;32m[49m======================================================================[0m
2024-06-02 07:25:27: ObjectDetectionYOLOv5-6.2: [0;37m[49m1.02 TiB of 1.00 TiB available on linux[0m
2024-06-02 07:25:27: ObjectDetectionYOLOv5-6.2: [0;35m[49mInstalling xz-utils...[0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;97m[42mGeneral CodeProject.AI setup [0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;97m[49mSetting permissions on runtimes folder...[0m[0;92m[49mdone[0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;97m[49mSetting permissions on downloads folder...[0m[0;92m[49mdone[0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;97m[49mSetting permissions on modules download folder...[0m[0;92m[49mdone[0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;97m[49mSetting permissions on models download folder...[0m[0;92m[49mdone[0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;97m[49mSetting permissions on persisted data folder...[0m[0;92m[49mdone[0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;97m[42mGPU support [0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;39m[49mCUDA (NVIDIA) Present: [0m[0;33m[49mNo[0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;39m[49mROCm (AMD) Present: [0m[0;33m[49mNo[0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;39m[49mMPS (Apple) Present: [0m[0;33m[49mNo[0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;37m[49mReading module settings[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;92m[49mdone[0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;97m[104mProcessing module ObjectDetectionYOLOv5-6.2 1.9.1 [0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;39m[49mInstalling Python 3.8[0m
2024-06-02 07:25:28: ObjectDetectionYOLOv5-6.2: [0;92m[49mPython 3.8 is already installed[0m
2024-06-02 07:25:35: ObjectDetectionYOLOv5-6.2: [0;97m[49mEnsuring PIP in base python install...[0m [0;92m[49mdone[0m
2024-06-02 07:25:36: ObjectDetectionYOLOv5-6.2: [0;97m[49mUpgrading PIP in base python install...[0m [0;92m[49mdone[0m
2024-06-02 07:25:36: ObjectDetectionYOLOv5-6.2: [0;92m[49mVirtual Environment already present[0m
2024-06-02 07:25:36: ObjectDetectionYOLOv5-6.2: [0;97m[49mChecking for Python 3.8...[0m[0;37m[49m(Found Python 3.8.19) [0m[0;92m[49mAll good[0m
2024-06-02 07:25:37: ObjectDetectionYOLOv5-6.2: [0;97m[49mUpgrading PIP in virtual environment...[0m [0;92m[49mdone[0m
2024-06-02 07:25:39: ObjectDetectionYOLOv5-6.2: [0;97m[49mInstalling updated setuptools in venv...[0m [0;92m[49mdone[0m
2024-06-02 07:25:48: ObjectDetectionYOLOv5-6.2: [0;97m[49mDownloading Standard YOLO models...[0m[0;35m[49mExpanding...[0m [0;92m[49mdone.[0m
2024-06-02 07:25:48: ObjectDetectionYOLOv5-6.2: [0;39m[49mMoving contents of models-yolo5-pt.zip to assets...[0m[0;92m[49mdone.[0m
2024-06-02 07:26:00: ObjectDetectionYOLOv5-6.2: [0;97m[49mDownloading Custom YOLO models...[0m[0;35m[49mExpanding...[0m [0;92m[49mdone.[0m
2024-06-02 07:26:00: ObjectDetectionYOLOv5-6.2: [0;39m[49mMoving contents of custom-models-yolo5-pt.zip to custom-models...[0m[0;92m[49mdone.[0m
2024-06-02 07:26:00: ObjectDetectionYOLOv5-6.2: [0;39m[49mInstalling Python packages for Object Detection (YOLOv5 6.2)[0m
2024-06-02 07:26:00: ObjectDetectionYOLOv5-6.2: [0;35m[49mInstalling GPU-enabled libraries: [0m[0;92m[49mIf available[0m
2024-06-02 07:26:01: ObjectDetectionYOLOv5-6.2: [0;39m[49mSearching for python3-pip...[0m[0;92m[49mAll good.[0m
2024-06-02 07:26:03: ObjectDetectionYOLOv5-6.2: [0;97m[49mEnsuring PIP compatibility...[0m [0;92m[49mdone[0m
2024-06-02 07:26:03: ObjectDetectionYOLOv5-6.2: [0;35m[49mPython packages will be specified by requirements.linux.txt[0m
2024-06-02 07:26:03: Client request 'detect' in queue 'objectdetection_queue' (#reqid defdc9a8-ee88-4389-8e04-0ad75cd660da)
2024-06-02 07:26:03: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing Pandas, a data analysis / data manipulation tool...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:26:04: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing CoreMLTools, for working with .mlmodel format models...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:26:05: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing OpenCV, the Open source Computer Vision library...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:26:05: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing Pillow, a Python Image Library...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:26:06: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing SciPy, a library for mathematics, science, and engineering...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:26:07: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing PyYAML, a library for reading configuration files...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:26:07: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing Torch, for Tensor computation and Deep neural networks...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:26:08: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing TorchVision, for Computer Vision based AI...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:26:16: Client request 'detect' in queue 'objectdetection_queue' (#reqid a472c6a3-a230-46bb-b68b-cc12095941d9)
2024-06-02 07:26:37: Client request 'detect' in queue 'objectdetection_queue' (#reqid 46857a83-cd48-4d28-bdc0-ce7b83d6ed52)
2024-06-02 07:26:37: Client request 'detect' in queue 'objectdetection_queue' (#reqid 7af82754-343b-427f-badd-b1685e557ef5)
2024-06-02 07:27:10: Client request 'detect' in queue 'objectdetection_queue' (#reqid ee9b791b-568f-4486-957b-fca4aab392a4)
2024-06-02 07:27:11: Client request 'detect' in queue 'objectdetection_queue' (#reqid 41bc3ca4-d62f-4bff-9ad6-a11d9879ff87)
2024-06-02 07:27:11: Client request 'detect' in queue 'objectdetection_queue' (#reqid bd85da5a-0c1a-4ba4-b2cd-cc6b60e5cbea)
2024-06-02 07:27:11: Client request 'detect' in queue 'objectdetection_queue' (#reqid 87ffce30-1d26-4581-add1-f8f70ca86130)
2024-06-02 07:27:11: Client request 'detect' in queue 'objectdetection_queue' (#reqid 16c8b2a3-df04-4ef1-abcd-78390c5c5b92)
2024-06-02 07:27:12: Client request 'detect' in queue 'objectdetection_queue' (#reqid a82a3c3b-b662-4c07-921f-ca2b079ac5d8)
2024-06-02 07:27:12: Client request 'detect' in queue 'objectdetection_queue' (#reqid 1e793dae-13a1-46e2-999f-2d7d637dbf96)
2024-06-02 07:27:13: Client request 'detect' in queue 'objectdetection_queue' (#reqid e784fe62-2547-4c11-8b3f-b6e87aea4f6b)
2024-06-02 07:27:13: Client request 'detect' in queue 'objectdetection_queue' (#reqid 4c01c768-1cbd-4044-95a7-1775b8dc08b2)
2024-06-02 07:27:14: Client request 'detect' in queue 'objectdetection_queue' (#reqid b9dbd409-27e6-49c6-aebf-1b1dd8da38e7)
2024-06-02 07:27:14: Client request 'detect' in queue 'objectdetection_queue' (#reqid 46acd8a2-40e7-496b-80f7-5a7b0dbb4ad6)
2024-06-02 07:27:15: Client request 'detect' in queue 'objectdetection_queue' (#reqid 56dc363c-f0d8-4f35-8c84-0dee69b63034)
2024-06-02 07:27:15: Client request 'detect' in queue 'objectdetection_queue' (#reqid 3a793ffe-1420-4ff7-951b-54b0f39f2455)
2024-06-02 07:27:21: Client request 'detect' in queue 'objectdetection_queue' (#reqid 62171111-a941-4902-bca6-9bdc3d35fb45)
2024-06-02 07:27:39: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing Ultralytics YoloV5 package for object detection in images...[0m [0;35m[49m(✅ checked) [0m[0;92m[49mdone[0m
2024-06-02 07:27:40: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing Seaborn, a data visualization library based on matplotlib...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:27:40: ObjectDetectionYOLOv5-6.2: [0;39m[49mInstalling Python packages for the CodeProject.AI Server SDK[0m
2024-06-02 07:27:40: ObjectDetectionYOLOv5-6.2: [0;39m[49mSearching for python3-pip...[0m[0;92m[49mAll good.[0m
2024-06-02 07:27:42: ObjectDetectionYOLOv5-6.2: [0;97m[49mEnsuring PIP compatibility...[0m [0;92m[49mdone[0m
2024-06-02 07:27:42: ObjectDetectionYOLOv5-6.2: [0;35m[49mPython packages will be specified by requirements.txt[0m
2024-06-02 07:27:43: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing Pillow, a Python Image Library...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:27:44: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing Charset normalizer...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:27:45: Client request 'detect' in queue 'objectdetection_queue' (#reqid a2f76f8e-5736-4b8e-a4d3-dcc66979fc0e)
2024-06-02 07:27:45: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing aiohttp, the Async IO HTTP library...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:27:45: Client request 'detect' in queue 'objectdetection_queue' (#reqid 3e85084a-851c-493c-937a-298430365ced)
2024-06-02 07:27:45: Client request 'detect' in queue 'objectdetection_queue' (#reqid 3153611a-a27b-45aa-a356-56a67b57287a)
2024-06-02 07:27:45: Client request 'detect' in queue 'objectdetection_queue' (#reqid f0ca6f5b-320f-40e9-bfd6-f39214910817)
2024-06-02 07:27:46: Client request 'detect' in queue 'objectdetection_queue' (#reqid c5cff0a7-0d6b-4341-9ea8-4af1fc5cd7e6)
2024-06-02 07:27:46: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing aiofiles, the Async IO Files library...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:27:46: Client request 'detect' in queue 'objectdetection_queue' (#reqid f82715a1-9835-4d33-bc5f-122883206cc9)
2024-06-02 07:27:47: Client request 'detect' in queue 'objectdetection_queue' (#reqid b129ed66-a918-409e-9938-6d2bc5d1f996)
2024-06-02 07:27:47: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing py-cpuinfo to allow us to query CPU info...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:27:47: Client request 'detect' in queue 'objectdetection_queue' (#reqid 80619f34-eb34-472b-bd9d-5500ffa11b81)
2024-06-02 07:27:48: Client request 'detect' in queue 'objectdetection_queue' (#reqid 4348833e-9708-4b33-a3a9-ea1ef75d0881)
2024-06-02 07:27:48: ObjectDetectionYOLOv5-6.2: [0;97m[49m - Installing Requests, the HTTP library...[0m[0;92m[49mAlready installed[0m
2024-06-02 07:27:48: ObjectDetectionYOLOv5-6.2: [0;39m[49mScanning modulesettings for downloadable models...[0m[0;37m[49mNo models specified[0m
2024-06-02 07:27:48: Client request 'detect' in queue 'objectdetection_queue' (#reqid c967f0a3-da52-40cb-97f8-fd58c86b51be)
2024-06-02 07:27:49: Client request 'detect' in queue 'objectdetection_queue' (#reqid 65a0a094-cef8-40f7-b15f-41b2095f2136)
2024-06-02 07:27:49: Client request 'detect' in queue 'objectdetection_queue' (#reqid 2f007ca9-4d6d-4719-9fb8-4693be21bf58)
2024-06-02 07:27:50: Client request 'detect' in queue 'objectdetection_queue' (#reqid 8dbdb91e-9116-4cd4-887c-a5c2bb8fac6c)
2024-06-02 07:27:53: ObjectDetectionYOLOv5-6.2: Fusing layers...
2024-06-02 07:27:53: ObjectDetectionYOLOv5-6.2: YOLOv5.1m summary: 391 layers, 21805053 parameters, 0 gradients
2024-06-02 07:27:53: ObjectDetectionYOLOv5-6.2: Adding AutoShape...
2024-06-02 07:27:54: ObjectDetectionYOLOv5-6.2: [0;39m[49mSelf test: [0m[0;92m[49mSelf-test passed[0m
2024-06-02 07:27:54: ObjectDetectionYOLOv5-6.2: [0;39m[49mModule setup time 00:02:26[0m
2024-06-02 07:27:54: ObjectDetectionYOLOv5-6.2: [0;97m[42m Setup complete [0m
2024-06-02 07:27:54: ObjectDetectionYOLOv5-6.2: [0;39m[49mTotal setup time 00:02:27[0m
2024-06-02 07:27:54: Module ObjectDetectionYOLOv5-6.2 installed successfully.
2024-06-02 07:27:54: Installer exited with code 0
2024-06-02 07:27:54: Running module using: /usr/bin/codeproject.ai-server-2.6.5/runtimes/bin/linux/python38/venv/bin/python3
2024-06-02 07:27:54:
2024-06-02 07:27:54: Attempting to start ObjectDetectionYOLOv5-6.2 with /usr/bin/codeproject.ai-server-2.6.5/runtimes/bin/linux/python38/venv/bin/python3 "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionYOLOv5-6.2/detect_adapter.py"
2024-06-02 07:27:54: Starting /usr...untimes/bin/linux/python38/venv/bin/python3 "/usr...jectDetectionYOLOv5-6.2/detect_adapter.py"
2024-06-02 07:27:54:
2024-06-02 07:27:54: ** Module 'Object Detection (YOLOv5 6.2)' 1.9.1 (ID: ObjectDetectionYOLOv5-6.2)
2024-06-02 07:27:54: ** Valid: True
2024-06-02 07:27:54: ** Module Path: <root>/modules/ObjectDetectionYOLOv5-6.2
2024-06-02 07:27:54: ** Module Location: Internal
2024-06-02 07:27:54: ** AutoStart: True
2024-06-02 07:27:54: ** Queue: objectdetection_queue
2024-06-02 07:27:54: ** Runtime: python3.8
2024-06-02 07:27:54: ** Runtime Location: Shared
2024-06-02 07:27:54: ** FilePath: detect_adapter.py
2024-06-02 07:27:54: ** Start pause: 1 sec
2024-06-02 07:27:54: ** Parallelism: 0
2024-06-02 07:27:54: ** LogVerbosity:
2024-06-02 07:27:54: ** Platforms: all,!raspberrypi,!jetson
2024-06-02 07:27:54: ** GPU Libraries: installed if available
2024-06-02 07:27:54: ** GPU: use if supported
2024-06-02 07:27:54: ** Accelerator:
2024-06-02 07:27:54: ** Half Precision: enable
2024-06-02 07:27:54: ** Environment Variables
2024-06-02 07:27:54: ** APPDIR = <root>/modules/ObjectDetectionYOLOv5-6.2
2024-06-02 07:27:54: ** CUSTOM_MODELS_DIR = <root>/modules/ObjectDetectionYOLOv5-6.2/custom-models
2024-06-02 07:27:54: ** MODELS_DIR = <root>/modules/ObjectDetectionYOLOv5-6.2/assets
2024-06-02 07:27:54: ** MODEL_SIZE = Medium
2024-06-02 07:27:54: ** USE_CUDA = True
2024-06-02 07:27:54: ** YOLOv5_AUTOINSTALL = false
2024-06-02 07:27:54: ** YOLOv5_VERBOSE = false
2024-06-02 07:27:54:
2024-06-02 07:27:54: Started Object Detection (YOLOv5 6.2) module
2024-06-02 07:27:55: Module ObjectDetectionYOLOv5-6.2 started successfully.
2024-06-02 07:27:58: detect_adapter.py: APPDIR: /usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionYOLOv5-6.2
2024-06-02 07:27:58: detect_adapter.py: MODEL_SIZE: medium
2024-06-02 07:27:58: detect_adapter.py: MODELS_DIR: /usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionYOLOv5-6.2/assets
2024-06-02 07:27:58: detect_adapter.py: Running init for Object Detection (YOLOv5 6.2)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid defdc9a8-ee88-4389-8e04-0ad75cd660da)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid a472c6a3-a230-46bb-b68b-cc12095941d9)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 7af82754-343b-427f-badd-b1685e557ef5)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 46857a83-cd48-4d28-bdc0-ce7b83d6ed52)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid ee9b791b-568f-4486-957b-fca4aab392a4)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 41bc3ca4-d62f-4bff-9ad6-a11d9879ff87)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 16c8b2a3-df04-4ef1-abcd-78390c5c5b92)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 87ffce30-1d26-4581-add1-f8f70ca86130)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 1e793dae-13a1-46e2-999f-2d7d637dbf96)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid e784fe62-2547-4c11-8b3f-b6e87aea4f6b)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 4c01c768-1cbd-4044-95a7-1775b8dc08b2)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid b9dbd409-27e6-49c6-aebf-1b1dd8da38e7)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 46acd8a2-40e7-496b-80f7-5a7b0dbb4ad6)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 56dc363c-f0d8-4f35-8c84-0dee69b63034)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 3a793ffe-1420-4ff7-951b-54b0f39f2455)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 62171111-a941-4902-bca6-9bdc3d35fb45)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid a2f76f8e-5736-4b8e-a4d3-dcc66979fc0e)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 3e85084a-851c-493c-937a-298430365ced)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid bd85da5a-0c1a-4ba4-b2cd-cc6b60e5cbea)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid a82a3c3b-b662-4c07-921f-ca2b079ac5d8)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 3153611a-a27b-45aa-a356-56a67b57287a)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid f0ca6f5b-320f-40e9-bfd6-f39214910817)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid c5cff0a7-0d6b-4341-9ea8-4af1fc5cd7e6)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid f82715a1-9835-4d33-bc5f-122883206cc9)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid b129ed66-a918-409e-9938-6d2bc5d1f996)
2024-06-02 07:27:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 80619f34-eb34-472b-bd9d-5500ffa11b81)
2024-06-02 07:27:58: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:58: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:58: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:58: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:58: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:58: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:58: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:58: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:58: detect_adapter.py: Fusing layers...
2024-06-02 07:27:58: detect_adapter.py: YOLOv5.1m summary: 391 layers, 21805053 parameters, 0 gradients
2024-06-02 07:27:58: detect_adapter.py: Adding AutoShape...
2024-06-02 07:27:59: Object Detection (YOLOv5 6.2): Model Path is /usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionYOLOv5-6.2/assets/yolov5m.pt in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:59: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 4348833e-9708-4b33-a3a9-ea1ef75d0881)
2024-06-02 07:27:59: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid a2f76f8e-5736-4b8e-a4d3-dcc66979fc0e) ['Found car, car'] took 867ms
2024-06-02 07:27:59: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:59: Request 'detect' dequeued from 'objectdetection_queue' (#reqid c967f0a3-da52-40cb-97f8-fd58c86b51be)
2024-06-02 07:27:59: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid f0ca6f5b-320f-40e9-bfd6-f39214910817) ['Found car, car'] took 913ms
2024-06-02 07:27:59: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:59: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 65a0a094-cef8-40f7-b15f-41b2095f2136)
2024-06-02 07:27:59: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid 3153611a-a27b-45aa-a356-56a67b57287a) ['Found car, car, car'] took 934ms
2024-06-02 07:27:59: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:59: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 2f007ca9-4d6d-4719-9fb8-4693be21bf58)
2024-06-02 07:27:59: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid 3e85084a-851c-493c-937a-298430365ced) ['Found car, car'] took 967ms
2024-06-02 07:27:59: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:59: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 8dbdb91e-9116-4cd4-887c-a5c2bb8fac6c)
2024-06-02 07:27:59: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid f82715a1-9835-4d33-bc5f-122883206cc9) ['Found car, car'] took 633ms
2024-06-02 07:27:59: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:27:59: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid 80619f34-eb34-472b-bd9d-5500ffa11b81) ['Found car'] took 676ms
2024-06-02 07:27:59: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid b129ed66-a918-409e-9938-6d2bc5d1f996) ['Found car'] took 606ms
2024-06-02 07:27:59: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid c5cff0a7-0d6b-4341-9ea8-4af1fc5cd7e6) ['Found car, car'] took 649ms
2024-06-02 07:28:00: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid c967f0a3-da52-40cb-97f8-fd58c86b51be) ['Found car'] took 673ms
2024-06-02 07:28:00: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid 65a0a094-cef8-40f7-b15f-41b2095f2136) ['Found car'] took 664ms
2024-06-02 07:28:00: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid 4348833e-9708-4b33-a3a9-ea1ef75d0881) ['Found car'] took 710ms
2024-06-02 07:28:00: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid 2f007ca9-4d6d-4719-9fb8-4693be21bf58) ['Found car'] took 710ms
2024-06-02 07:28:00: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid 8dbdb91e-9116-4cd4-887c-a5c2bb8fac6c) ['Found car'] took 290ms
2024-06-02 07:28:11: Update ObjectDetectionYOLOv5-6.2. Setting AutoStart=false
2024-06-02 07:28:11: *** Stopping Object Detection (YOLOv5 6.2)
2024-06-02 07:28:11: Sending shutdown request to pt_main_thread/ObjectDetectionYOLOv5-6.2
2024-06-02 07:28:11: Client request 'Quit' in queue 'objectdetection_queue' (#reqid 889aace6-c64f-41ec-840b-f152ee0a9b71)
2024-06-02 07:28:11: Request 'Quit' dequeued from 'objectdetection_queue' (#reqid 889aace6-c64f-41ec-840b-f152ee0a9b71)
2024-06-02 07:28:11: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'Quit' in Object Detection (YOLOv5 6.2)
2024-06-02 07:28:14: Update FaceProcessing. Setting AutoStart=false
2024-06-02 07:28:14: *** Stopping Face Processing
2024-06-02 07:28:14: Sending shutdown request to pt_main_thread/FaceProcessing
2024-06-02 07:28:14: Client request 'Quit' in queue 'faceprocessing_queue' (#reqid b07211a2-25ba-4da9-85df-18d99d141738)
2024-06-02 07:28:14: Request 'Quit' dequeued from 'faceprocessing_queue' (#reqid b07211a2-25ba-4da9-85df-18d99d141738)
2024-06-02 07:28:14: Face Processing: Retrieved faceprocessing_queue command 'Quit' in Face Processing
2024-06-02 07:28:15: Client request 'detect' in queue 'objectdetection_queue' (#reqid 3717b77c-7e97-4d55-9fef-9df0b0faa653)
2024-06-02 07:28:15: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 3717b77c-7e97-4d55-9fef-9df0b0faa653)
2024-06-02 07:28:15: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid 3717b77c-7e97-4d55-9fef-9df0b0faa653) ['Found car'] took 323ms
2024-06-02 07:28:16: detect_adapter.py: Object Detection (YOLOv5 6.2) started.
2024-06-02 07:28:16: detect_adapter.py: Inference processing will occur on device 'CPU'
2024-06-02 07:28:16: detect_adapter.py: Retrieved objectdetection_queue command 'detect'
2024-06-02 07:28:17: ** Module ObjectDetectionYOLOv5-6.2 has shutdown
2024-06-02 07:28:18: face.py: Face Processing started.
2024-06-02 07:28:19: ** Module FaceProcessing has shutdown
2024-06-02 07:28:34: Client request 'detect' in queue 'objectdetection_queue' (#reqid bf32f212-9f73-450e-8435-f85614498088)
2024-06-02 07:28:36: Client request 'detect' in queue 'objectdetection_queue' (#reqid c46d7d95-5930-41cb-b7d1-7e035e0db5a6)
2024-06-02 07:28:36: Client request 'detect' in queue 'objectdetection_queue' (#reqid dc9f51d1-d2f4-49b4-ac87-1db40808877d)
2024-06-02 07:28:44: ObjectDetectionYOLOv5-6.2 went quietly
2024-06-02 07:28:47: FaceProcessing went quietly
2024-06-02 07:28:54: Client request 'detect' in queue 'objectdetection_queue' (#reqid 24c3a277-f4f6-4c57-8a95-c88fbcfd7d94)
2024-06-02 07:29:15: Client request 'detect' in queue 'objectdetection_queue' (#reqid 4639be16-b91c-4c35-b72a-84730209ef39)
2024-06-02 07:29:20: Client request 'detect' in queue 'objectdetection_queue' (#reqid e1c2929a-8fc8-4cdc-9175-4bfddab9cf3c)
2024-06-02 07:29:50: ModuleRunner Stop
2024-06-02 07:29:50: ObjectDetectionYOLOv5-6.2 doesn't appear in the Process list, so can't stop it.
2024-06-02 07:29:50: ObjectDetectionYOLOv5Net doesn't appear in the Process list, so can't stop it.
2024-06-02 07:29:50: FaceProcessing doesn't appear in the Process list, so can't stop it.
2024-06-02 07:29:50: ModuleRunner Stopped
2024-06-02 07:29:51: Settings file: /usr/bin/codeproject.ai-server-2.6.5/server/installmodules.json exists: False
2024-06-02 07:29:51: ** System: Linux
2024-06-02 07:29:51: ** Operating System: Linux (Ubuntu 22.04)
2024-06-02 07:29:51: ** CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
2024-06-02 07:29:51: ** 1 CPU x 4 cores. 8 logical processors (x64)
2024-06-02 07:29:51: ** GPU (Primary): HD Graphics 530 (rev 06) (Intel Corporation)
2024-06-02 07:29:51: ** System RAM: 31 GiB
2024-06-02 07:29:51: ** Platform: Linux
2024-06-02 07:29:51: ** BuildConfig: Release
2024-06-02 07:29:51: ** Execution Env: Native
2024-06-02 07:29:51: ** Runtime Env: Production
2024-06-02 07:29:51: ** Runtimes installed:
2024-06-02 07:29:51: ** .NET runtime: 7.0.19
2024-06-02 07:29:51: ** .NET SDK: 7.0.119
2024-06-02 07:29:51: ** Default Python: 3.10.12
2024-06-02 07:29:51: ** Go: Not found
2024-06-02 07:29:51: ** NodeJS: Not found
2024-06-02 07:29:51: ** Rust: Not found
2024-06-02 07:29:51: ** App DataDir: /etc/codeproject/ai
2024-06-02 07:29:51: Video adapter info:
2024-06-02 07:29:51: HD Graphics 530 (rev 06):
2024-06-02 07:29:51: Driver Version
2024-06-02 07:29:51: Video Processor
2024-06-02 07:29:51: *** STARTING CODEPROJECT.AI SERVER
2024-06-02 07:29:51: RUNTIMES_PATH = /usr/bin/codeproject.ai-server-2.6.5/runtimes
2024-06-02 07:29:51: PREINSTALLED_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/preinstalled-modules
2024-06-02 07:29:51: DEMO_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/src/demos/modules
2024-06-02 07:29:51: EXTERNAL_MODULES_PATH =
2024-06-02 07:29:51: MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/modules
2024-06-02 07:29:51: PYTHON_PATH = /bin/linux/%PYTHON_NAME%/venv/bin/python3
2024-06-02 07:29:51: Data Dir = /etc/codeproject/ai
2024-06-02 07:29:51: ** Server version: 2.6.5
2024-06-02 07:29:51: ModuleRunner Start
2024-06-02 07:29:51: Starting Background AI Modules
2024-06-02 07:29:54: Running module using: /usr/bin/codeproject.ai-server-2.6.5/runtimes/bin/linux/python38/venv/bin/python3
2024-06-02 07:29:54:
2024-06-02 07:29:54: Attempting to start ObjectDetectionYOLOv5-6.2 with /usr/bin/codeproject.ai-server-2.6.5/runtimes/bin/linux/python38/venv/bin/python3 "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionYOLOv5-6.2/detect_adapter.py"
2024-06-02 07:29:54: Starting /usr...untimes/bin/linux/python38/venv/bin/python3 "/usr...jectDetectionYOLOv5-6.2/detect_adapter.py"
2024-06-02 07:29:54:
2024-06-02 07:29:54: ** Module 'Object Detection (YOLOv5 6.2)' 1.9.1 (ID: ObjectDetectionYOLOv5-6.2)
2024-06-02 07:29:54: ** Valid: True
2024-06-02 07:29:54: ** Module Path: <root>/modules/ObjectDetectionYOLOv5-6.2
2024-06-02 07:29:54: ** Module Location: Internal
2024-06-02 07:29:54: ** AutoStart: True
2024-06-02 07:29:54: ** Queue: objectdetection_queue
2024-06-02 07:29:54: ** Runtime: python3.8
2024-06-02 07:29:54: ** Runtime Location: Shared
2024-06-02 07:29:54: ** FilePath: detect_adapter.py
2024-06-02 07:29:54: ** Start pause: 1 sec
2024-06-02 07:29:54: ** Parallelism: 0
2024-06-02 07:29:54: ** LogVerbosity:
2024-06-02 07:29:54: ** Platforms: all,!raspberrypi,!jetson
2024-06-02 07:29:54: ** GPU Libraries: installed if available
2024-06-02 07:29:54: ** GPU: use if supported
2024-06-02 07:29:54: ** Accelerator:
2024-06-02 07:29:54: ** Half Precision: enable
2024-06-02 07:29:54: ** Environment Variables
2024-06-02 07:29:54: ** APPDIR = <root>/modules/ObjectDetectionYOLOv5-6.2
2024-06-02 07:29:54: ** CUSTOM_MODELS_DIR = <root>/modules/ObjectDetectionYOLOv5-6.2/custom-models
2024-06-02 07:29:54: ** MODELS_DIR = <root>/modules/ObjectDetectionYOLOv5-6.2/assets
2024-06-02 07:29:54: ** MODEL_SIZE = Medium
2024-06-02 07:29:54: ** USE_CUDA = True
2024-06-02 07:29:54: ** YOLOv5_AUTOINSTALL = false
2024-06-02 07:29:54: ** YOLOv5_VERBOSE = false
2024-06-02 07:29:54:
2024-06-02 07:29:54: Started Object Detection (YOLOv5 6.2) module
2024-06-02 07:29:54: Client request 'detect' in queue 'objectdetection_queue' (#reqid a13a2c89-c0b5-4df9-9523-7493c60f53c1)
2024-06-02 07:29:55: Running module using: /usr/bin/codeproject.ai-server-2.6.5/runtimes/bin/linux/python38/venv/bin/python3
2024-06-02 07:29:55:
2024-06-02 07:29:55: Attempting to start FaceProcessing with /usr/bin/codeproject.ai-server-2.6.5/runtimes/bin/linux/python38/venv/bin/python3 "/usr/bin/codeproject.ai-server-2.6.5/modules/FaceProcessing/intelligencelayer/face.py"
2024-06-02 07:29:55: Starting /usr...untimes/bin/linux/python38/venv/bin/python3 "/usr.../FaceProcessing/intelligencelayer/face.py"
2024-06-02 07:29:55:
2024-06-02 07:29:55: ** Module 'Face Processing' 1.10.2 (ID: FaceProcessing)
2024-06-02 07:29:55: ** Valid: True
2024-06-02 07:29:55: ** Module Path: <root>/modules/FaceProcessing
2024-06-02 07:29:55: ** Module Location: Internal
2024-06-02 07:29:55: ** AutoStart: True
2024-06-02 07:29:55: ** Queue: faceprocessing_queue
2024-06-02 07:29:55: ** Runtime: python3.8
2024-06-02 07:29:55: ** Runtime Location: Shared
2024-06-02 07:29:55: ** FilePath: intelligencelayer/face.py
2024-06-02 07:29:55: ** Start pause: 3 sec
2024-06-02 07:29:55: ** Parallelism: 0
2024-06-02 07:29:55: ** LogVerbosity:
2024-06-02 07:29:55: ** Platforms: all,!jetson
2024-06-02 07:29:55: ** GPU Libraries: installed if available
2024-06-02 07:29:55: ** GPU: use if supported
2024-06-02 07:29:55: ** Accelerator:
2024-06-02 07:29:55: ** Half Precision: enable
2024-06-02 07:29:55: ** Environment Variables
2024-06-02 07:29:55: ** APPDIR = <root>/modules/FaceProcessing/intelligencelayer
2024-06-02 07:29:55: ** DATA_DIR = /etc/codeproject/ai
2024-06-02 07:29:55: ** MODE = MEDIUM
2024-06-02 07:29:55: ** MODELS_DIR = <root>/modules/FaceProcessing/assets
2024-06-02 07:29:55: ** PROFILE = desktop_gpu
2024-06-02 07:29:55: ** USE_CUDA = True
2024-06-02 07:29:55: ** YOLOv5_AUTOINSTALL = false
2024-06-02 07:29:55: ** YOLOv5_VERBOSE = false
2024-06-02 07:29:55:
2024-06-02 07:29:55: Started Face Processing module
2024-06-02 07:29:56: Current Version is 2.6.5
2024-06-02 07:29:56: Server: This is the latest version
2024-06-02 07:29:58: detect_adapter.py: APPDIR: /usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionYOLOv5-6.2
2024-06-02 07:29:58: detect_adapter.py: MODEL_SIZE: medium
2024-06-02 07:29:58: detect_adapter.py: MODELS_DIR: /usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionYOLOv5-6.2/assets
2024-06-02 07:29:58: detect_adapter.py: Running init for Object Detection (YOLOv5 6.2)
2024-06-02 07:29:58: Request 'detect' dequeued from 'objectdetection_queue' (#reqid a13a2c89-c0b5-4df9-9523-7493c60f53c1)
2024-06-02 07:29:58: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'detect' in Object Detection (YOLOv5 6.2)
2024-06-02 07:29:58: detect_adapter.py: Fusing layers...
2024-06-02 07:29:59: detect_adapter.py: YOLOv5.1m summary: 391 layers, 21805053 parameters, 0 gradients
2024-06-02 07:29:59: detect_adapter.py: Adding AutoShape...
2024-06-02 07:29:59: Object Detection (YOLOv5 6.2): Model Path is /usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionYOLOv5-6.2/assets/yolov5m.pt in Object Detection (YOLOv5 6.2)
2024-06-02 07:29:59: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid a13a2c89-c0b5-4df9-9523-7493c60f53c1) ['Found car'] took 525ms
2024-06-02 07:29:59: face.py: Vision AI services setup: Retrieving environment variables...
2024-06-02 07:29:59: face.py: APPDIR: /usr/bin/codeproject.ai-server-2.6.5/modules/FaceProcessing/intelligencelayer
2024-06-02 07:29:59: face.py: PROFILE: desktop_cpu
2024-06-02 07:29:59: face.py: USE_CUDA: False
2024-06-02 07:29:59: face.py: DATA_DIR: /etc/codeproject/ai
2024-06-02 07:29:59: face.py: MODELS_DIR: /usr/bin/codeproject.ai-server-2.6.5/modules/FaceProcessing/assets
2024-06-02 07:29:59: face.py: MODE: MEDIUM
2024-06-02 07:29:59: face.py: Running init for Face Processing
2024-06-02 07:30:30: Update ObjectDetectionYOLOv5-6.2. Setting AutoStart=false
2024-06-02 07:30:30: *** Stopping Object Detection (YOLOv5 6.2)
2024-06-02 07:30:30: Sending shutdown request to pt_main_thread/ObjectDetectionYOLOv5-6.2
2024-06-02 07:30:30: Client request 'Quit' in queue 'objectdetection_queue' (#reqid 18a3c4ac-f272-4eab-b10b-5b302eab88d7)
2024-06-02 07:30:30: Request 'Quit' dequeued from 'objectdetection_queue' (#reqid 18a3c4ac-f272-4eab-b10b-5b302eab88d7)
2024-06-02 07:30:30: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'Quit' in Object Detection (YOLOv5 6.2)
2024-06-02 07:30:35: Client request 'detect' in queue 'objectdetection_queue' (#reqid 9e3b2868-6162-4504-895c-3a2addd3044e)
2024-06-02 07:30:35: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 9e3b2868-6162-4504-895c-3a2addd3044e)
2024-06-02 07:30:36: Client request 'detect' in queue 'objectdetection_queue' (#reqid 95f73b00-7431-4156-9e76-c6cc319c9b98)
2024-06-02 07:30:36: Request 'detect' dequeued from 'objectdetection_queue' (#reqid 95f73b00-7431-4156-9e76-c6cc319c9b98)
2024-06-02 07:30:36: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid 9e3b2868-6162-4504-895c-3a2addd3044e) ['Found dining table, bench, potted plant...'] took 270ms
2024-06-02 07:30:36: Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (#reqid 95f73b00-7431-4156-9e76-c6cc319c9b98) ['No objects found'] took 271ms
2024-06-02 07:30:46: detect_adapter.py: Object Detection (YOLOv5 6.2) started.
2024-06-02 07:30:46: detect_adapter.py: Inference processing will occur on device 'CPU'
2024-06-02 07:30:46: detect_adapter.py: Retrieved objectdetection_queue command 'detect'
2024-06-02 07:30:46: detect_adapter.py: Retrieved objectdetection_queue command 'detect'
2024-06-02 07:30:47: ** Module ObjectDetectionYOLOv5-6.2 has shutdown
2024-06-02 07:30:54: Client request 'detect' in queue 'objectdetection_queue' (#reqid c0d031fc-a881-40a9-ace4-74d071d64885)
2024-06-02 07:30:55: Update FaceProcessing. Setting AutoStart=false
2024-06-02 07:30:55: *** Stopping Face Processing
2024-06-02 07:30:55: Sending shutdown request to pt_main_thread/FaceProcessing
2024-06-02 07:30:55: Client request 'Quit' in queue 'faceprocessing_queue' (#reqid f3d8081d-8370-4cd0-8cd0-19d90dd9f5fe)
2024-06-02 07:30:55: Request 'Quit' dequeued from 'faceprocessing_queue' (#reqid f3d8081d-8370-4cd0-8cd0-19d90dd9f5fe)
2024-06-02 07:30:55: Face Processing: Retrieved faceprocessing_queue command 'Quit' in Face Processing
2024-06-02 07:31:02: face.py: Face Processing started.
2024-06-02 07:31:03: ** Module FaceProcessing has shutdown
2024-06-02 07:31:03: ObjectDetectionYOLOv5-6.2 went quietly
2024-06-02 07:31:11: ObjectDetectionYOLOv5Net doesn't appear in the Process list, so can't stop it.
2024-06-02 07:31:16: Client request 'detect' in queue 'objectdetection_queue' (#reqid 4a315cf3-ea72-48aa-b095-5a9618cfe9c7)
2024-06-02 07:31:18: ObjectDetectionYOLOv5-6.2 doesn't appear in the Process list, so can't stop it.
2024-06-02 07:31:19: Client request 'detect' in queue 'objectdetection_queue' (#reqid 15c2fe28-2ed0-4b61-a879-60f429d5a499)
2024-06-02 07:31:28: FaceProcessing went quietly
2024-06-02 07:31:34: FaceProcessing doesn't appear in the Process list, so can't stop it.
2024-06-02 07:31:37: Client request 'detect' in queue 'objectdetection_queue' (#reqid e2257dcd-5bd4-42b2-847e-036be206b948)
2024-06-02 07:31:43: Client request 'detect' in queue 'objectdetection_queue' (#reqid f478e51b-168c-4059-bd42-cd8d5bb51f8b)
2024-06-02 07:31:53: Client request 'detect' in queue 'objectdetection_queue' (#reqid 9870d00f-2ea1-4459-bf57-62c1f7a2e225)
2024-06-02 07:31:58: Client request 'detect' in queue 'objectdetection_queue' (#reqid cc510725-9cd5-44d7-96d6-a28f9aecb9bd)
2024-06-02 07:32:28: ModuleRunner Stop
2024-06-02 07:32:28: ModuleRunner Stopped
2024-06-02 07:32:28: Settings file: /usr/bin/codeproject.ai-server-2.6.5/server/installmodules.json exists: False
2024-06-02 07:32:28: ** System: Linux
2024-06-02 07:32:28: ** Operating System: Linux (Ubuntu 22.04)
2024-06-02 07:32:28: ** CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
2024-06-02 07:32:28: ** 1 CPU x 4 cores. 8 logical processors (x64)
2024-06-02 07:32:28: ** GPU (Primary): HD Graphics 530 (rev 06) (Intel Corporation)
2024-06-02 07:32:28: ** System RAM: 31 GiB
2024-06-02 07:32:28: ** Platform: Linux
2024-06-02 07:32:28: ** BuildConfig: Release
2024-06-02 07:32:28: ** Execution Env: Native
2024-06-02 07:32:28: ** Runtime Env: Production
2024-06-02 07:32:28: ** Runtimes installed:
2024-06-02 07:32:28: ** .NET runtime: 7.0.19
2024-06-02 07:32:28: ** .NET SDK: 7.0.119
2024-06-02 07:32:28: ** Default Python: 3.10.12
2024-06-02 07:32:28: ** Go: Not found
2024-06-02 07:32:28: ** NodeJS: Not found
2024-06-02 07:32:28: ** Rust: Not found
2024-06-02 07:32:28: ** App DataDir: /etc/codeproject/ai
2024-06-02 07:32:28: Video adapter info:
2024-06-02 07:32:28: HD Graphics 530 (rev 06):
2024-06-02 07:32:28: Driver Version
2024-06-02 07:32:28: Video Processor
2024-06-02 07:32:28: *** STARTING CODEPROJECT.AI SERVER
2024-06-02 07:32:28: RUNTIMES_PATH = /usr/bin/codeproject.ai-server-2.6.5/runtimes
2024-06-02 07:32:28: PREINSTALLED_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/preinstalled-modules
2024-06-02 07:32:28: DEMO_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/src/demos/modules
2024-06-02 07:32:28: EXTERNAL_MODULES_PATH =
2024-06-02 07:32:28: MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/modules
2024-06-02 07:32:28: PYTHON_PATH = /bin/linux/%PYTHON_NAME%/venv/bin/python3
2024-06-02 07:32:28: Data Dir = /etc/codeproject/ai
2024-06-02 07:32:28: ** Server version: 2.6.5
2024-06-02 07:32:28: ModuleRunner Start
2024-06-02 07:32:28: Starting Background AI Modules
2024-06-02 07:32:34: Current Version is 2.6.5
2024-06-02 07:32:34: Server: This is the latest version
2024-06-02 07:33:32: ModuleRunner Stop
2024-06-02 07:33:32: ModuleRunner Stopped
2024-06-02 07:38:03: Settings file: /usr/bin/codeproject.ai-server-2.6.5/server/installmodules.json exists: False
2024-06-02 07:38:03: ** System: Linux
2024-06-02 07:38:03: ** Operating System: Linux (Ubuntu 22.04)
2024-06-02 07:38:03: ** CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
2024-06-02 07:38:03: ** 1 CPU x 4 cores. 8 logical processors (x64)
2024-06-02 07:38:03: ** GPU (Primary): HD Graphics 530 (rev 06) (Intel Corporation)
2024-06-02 07:38:03: ** System RAM: 31 GiB
2024-06-02 07:38:03: ** Platform: Linux
2024-06-02 07:38:03: ** BuildConfig: Release
2024-06-02 07:38:03: ** Execution Env: Native
2024-06-02 07:38:03: ** Runtime Env: Production
2024-06-02 07:38:03: ** Runtimes installed:
2024-06-02 07:38:03: ** .NET runtime: 7.0.19
2024-06-02 07:38:03: ** .NET SDK: 7.0.119
2024-06-02 07:38:03: ** Default Python: 3.10.12
2024-06-02 07:38:03: ** Go: Not found
2024-06-02 07:38:03: ** NodeJS: Not found
2024-06-02 07:38:03: ** Rust: Not found
2024-06-02 07:38:03: ** App DataDir: /etc/codeproject/ai
2024-06-02 07:38:03: Video adapter info:
2024-06-02 07:38:03: HD Graphics 530 (rev 06):
2024-06-02 07:38:03: Driver Version
2024-06-02 07:38:03: Video Processor
2024-06-02 07:38:03: *** STARTING CODEPROJECT.AI SERVER
2024-06-02 07:38:03: RUNTIMES_PATH = /usr/bin/codeproject.ai-server-2.6.5/runtimes
2024-06-02 07:38:03: PREINSTALLED_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/preinstalled-modules
2024-06-02 07:38:03: DEMO_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/src/demos/modules
2024-06-02 07:38:03: EXTERNAL_MODULES_PATH =
2024-06-02 07:38:03: MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.5/modules
2024-06-02 07:38:03: PYTHON_PATH = /bin/linux/%PYTHON_NAME%/venv/bin/python3
2024-06-02 07:38:03: Data Dir = /etc/codeproject/ai
2024-06-02 07:38:04: ** Server version: 2.6.5
2024-06-02 07:38:04: ModuleRunner Start
2024-06-02 07:38:04: Starting Background AI Modules
2024-06-02 07:38:09: Current Version is 2.6.5
2024-06-02 07:38:09: Server: This is the latest version
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This was due to the docker container I had been testing but quit due to error 500's. I rebooted the host and it started up the CPAI docker container w/ host networking like it was supposed to. Deleting the container immediately resolved the 404 issues. I had 32168 on one instance and 32169 on another - only reason I think everything was acting "ok".
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