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thank you for the message. if it were a problem with the coral usb driver I think the system would never work. the raspberry responds correctly to blueiris even for many hours but then unexpectedly freezes even if the operating system and the codeproject web interface continue to work. no information on the codeproject interface. just restart the raspberry and everything will be perfect again for another few hours
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I have found the exact same issue both on my Pi4 and Pi5 on 2.5.6.1 with the USB Coral. I noticed that if I have the Model Size on Tiny it takes longer before the crash/timeout.
I purchased the Pineberry HATAI! and a Google Coral A+E Key. I have installed latest Ubuntu 23.10 server and after a bit of messing with PCIe Apex & Gasket drivers I finally got it up and running on 2.5.6.1 and it has been working for a few days now and Blue Iris alerts are working perfectly.
I definitely think there is an issue with the USB side of things as the m.2 bottom hat seems to be much more stable.
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The USB is unreliable. I had one and had random freezes with it. I switched over to their physical cards on all my systems and they never stop working.
I do run the pi hat on my pi5 and its rock solid. The other systems I have use the dual edge tpu with the pci card from makerfabs
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It’s fixed quickly when CPAI is restarted, so even if the USB is unreliable, it should be trivial to handle. CPAI should be monitoring it and restart itself (or the Docker container) when it stops responding.
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I have the same issue. It just silently dies.
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Hi, I have the same configuration without freezing but with a strange behaviour:
After the first connexion or after some time working, delay is considerably increased :
08:52:30:Started Object Detection (Coral) module
08:52:33:objectdetection_coral_adapter.py: Using Edge TPU
08:53:48:Response rec'd from Object Detection (Coral) command 'detect' (...87bb02) ['Found person, person, person...'] took 2697ms
08:53:55:Response rec'd from Object Detection (Coral) command 'detect' (...f8a055) ['Found person, person, person...'] took 21ms
08:56:01:Response rec'd from Object Detection (Coral) command 'detect' (...d82031) ['Found person, person, person...'] took 22ms
Just after it becomes OK.
After a long delay I get these messages in dmesg:
usb 2-1: reset SuperSpeed USB device number 3 using xhci-hcd
usb 2-1: LPM exit latency is zeroed, disabling LPM.
Is that intentionnal ? or may be usb malfunctionning ?
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I'm testing ocr via codeproject/explorer.
When I place an image with a resolution of 4032x3024, it does not read the characters that appear in the center of the image, but when I cut it and save it in another file with a resolution of 966x747, it returns successfully.
What can it be? I'm new to using codeproject...
Files: OCR - Google Drive[^]
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Thanks very much for your message. When CodeProject.AI Server processes an image, it gets scaled down. So generally, if you can't read the text in an image, CodeProject.AI Server probably won't be able to read the text in the image.
Thanks,
Sean Ewington
CodeProject
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Thanks for the feedback. Isn't there some configuration in the ocr module files to avoid this reduction? Because in the file I placed on Google Drive, for example, you can read both images. I put the results of the OCR scan on Google Drive.
modified 22-Mar-24 20:28pm.
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Hello Everyone,
I am not a tech person. Blue Iris is perfect for my home security and I love that I can get answers to my questions using Code Project when I switched from Deep Stack. I am facing problems with downloading the module for for License Plate reading. I am so confused with having to to get paddle ocr from github on the backend. Is there any easy way from a kid from the 1980's to just download the software? I did use Rekor Scout and that was amazing but costly.
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Thanks very much for your message. Could you please share your System Info tab from your CodeProject.AI Server dashboard? I can help better if I know what your setup is.
Thanks,
Sean Ewington
CodeProject
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Thanks very much for that. Can you please try downloading the License Plate Reader module again, then going to the Server logs tab, and share what you see there?
Thanks,
Sean Ewington
CodeProject
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Error trying to start License Plate Reader (ALPR_adapter.py)
20:42:42:Error is: An error occurred trying to start process 'C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\Scripts\python' with working directory 'C:\Program Files\CodeProject\AI\modules\ALPR'. The system cannot find the file specified.
20:42:42: at System.Diagnostics.Process.StartWithCreateProcess(ProcessStartInfo startInfo)
at CodeProject.AI.Server.Modules.ModuleProcessServices.StartProcess(ModuleConfig module, String installSummary)
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It looks like the install failed. Can you please try reinstalling the module (uninstall then reinstall)
cheers
Chris Maunder
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orms: all,!jetson
20:07:16:GPU Libraries: installed if available
20:07:16:GPU Enabled: enabled
20:07:16:Accelerator:
20:07:16:Half Precis.: enable
20:07:16:Environment Variables
20:07:16:APPDIR = <root>\modules\FaceProcessing\intelligencelayer
20:07:16:CPAI_MODULE_ENABLE_GPU = True
20:07:16:DATA_DIR = C:\ProgramData\CodeProject\AI
20:07:16:MODE = MEDIUM
20:07:16:MODELS_DIR = <root>\modules\FaceProcessing\assets
20:07:16:PROFILE = desktop_gpu
20:07:16:USE_CUDA = True
20:07:16:YOLOv5_AUTOINSTALL = false
20:07:16:YOLOv5_VERBOSE = false
20:07:16:
20:07:16:Error trying to start Face Processing (intelligencelayer/face.py)
20:07:16:Error is: An error occurred trying to start process 'C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python' with working directory 'C:\Program Files\CodeProject\AI\modules\FaceProcessing'. The system cannot find the file specified.
20:07:16: at System.Diagnostics.Process.StartWithCreateProcess(ProcessStartInfo startInfo)
at CodeProject.AI.Server.Modules.ModuleProcessServices.StartProcess(ModuleConfig module, String installSummary)
20:07:16:*** Please check the CodeProject.AI installation completed successfully
20:13:28:Call to Uninstall on module ObjectDetectionYOLOv5Net has completed.
20:13:28:ObjectDetectionYOLOv5Net doesn't appear in the Process list, so can't stop it.
20:13:33:Call to Uninstall on module OCR has completed.
20:13:33:OCR doesn't appear in the Process list, so can't stop it.
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CODEPROJECT
CodeProject.AI
Docs
Forums
The Code
CodeProject.AI Explorer
Server is Offline
2.6.2
☀️
Your self contained AI server. Learn how to integrate with other programs or add your own AI module. Having problems? See our common solutions or ask a question. Blue Iris users: please read our Wyze cam setup guide and common issues pages.
Status
Server logs
System Info
Install Modules
17:32:06:ObjectDetectionYOLOv5-6.2: Reading ObjectDetectionYOLOv5-6.2 settings.......done
17:32:06:ObjectDetectionYOLOv5-6.2: Installing module Object Detection (YOLOv5 6.2) 1.9.1
17:32:06:ObjectDetectionYOLOv5-6.2: Installing Python 3.7
17:32:06:ObjectDetectionYOLOv5-6.2: 'powershell' is not recognized as an internal or external command,
17:32:06:ObjectDetectionYOLOv5-6.2: operable program or batch file.
17:32:06:ObjectDetectionYOLOv5-6.2: 'powershell' is not recognized as an internal or external command,
17:32:06:ObjectDetectionYOLOv5-6.2: operable program or batch file.
17:32:06:ObjectDetectionYOLOv5-6.2: 'powershell' is not recognized as an internal or external command,
17:32:06:ObjectDetectionYOLOv5-6.2: operable program or batch file.
17:32:06:ObjectDetectionYOLOv5-6.2: Downloading Python 3.7 interpreter...BITS transfer failed. Trying Powershell....
17:32:06:ObjectDetectionYOLOv5-6.2: 'powershell' is not recognized as an internal or external command,
17:32:06:ObjectDetectionYOLOv5-6.2: operable program or batch file.
17:32:06:ObjectDetectionYOLOv5-6.2: Download failed. Sorry.
17:32:06:ObjectDetectionYOLOv5-6.2: 'robocopy' is not recognized as an internal or external command,
17:32:06:ObjectDetectionYOLOv5-6.2: operable program or batch file.
17:32:07:ObjectDetectionYOLOv5-6.2: '"C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\python.exe"' is not recognized as an internal or external command,
17:32:07:ObjectDetectionYOLOv5-6.2: operable program or batch file.
17:32:07:ObjectDetectionYOLOv5-6.2: Creating Virtual Environment (Shared)...done
17:32:07:ObjectDetectionYOLOv5-6.2: The system cannot find the path specified.
17:32:07:ObjectDetectionYOLOv5-6.2: Confirming we have Python 3.7 in our virtual environment...
17:32:07:Module ObjectDetectionYOLOv5-6.2 installed successfully.
17:32:07:Running module using: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python
17:32:07:
17:32:07:Attempting to start ObjectDetectionYOLOv5-6.2 with C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2\detect_adapter.py"
17:32:07:Starting C:\Program Files...ws\python37\venv\Scripts\python "C:\Program Files...nYOLOv5-6.2\detect_adapter.py"
17:32:07:
17:32:07:Module 'Object Detection (YOLOv5 6.2)' 1.9.1 (ID: ObjectDetectionYOLOv5-6.2)
17:32:07:Valid: True
17:32:07:Module Path: <root>\modules\ObjectDetectionYOLOv5-6.2
17:32:07:AutoStart: True
17:32:07:Queue: objectdetection_queue
17:32:07:Runtime: python3.7
17:32:07:Runtime Loc: Shared
17:32:07:FilePath: detect_adapter.py
17:32:07:Start pause: 1 sec
17:32:07:Parallelism: 0
17:32:07:LogVerbosity:
17:32:07:Platforms: all,!raspberrypi,!jetson
17:32:07:GPU Libraries: installed if available
17:32:07:GPU Enabled: enabled
17:32:07:Accelerator:
17:32:07:Half Precis.: enable
17:32:07:Environment Variables
17:32:07:APPDIR = <root>\modules\ObjectDetectionYOLOv5-6.2
17:32:07:CUSTOM_MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\custom-models
17:32:07:MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\assets
17:32:07:MODEL_SIZE = Medium
17:32:07:USE_CUDA = True
17:32:07:YOLOv5_AUTOINSTALL = false
17:32:07:YOLOv5_VERBOSE = false
17:32:07:
17:32:07:Error trying to start Object Detection (YOLOv5 6.2) (detect_adapter.py)
17:32:07:Error is: An error occurred trying to start process 'C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python' with working directory 'C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2'. The system cannot find the file specified.
17:32:07: at System.Diagnostics.Process.StartWithCreateProcess(ProcessStartInfo startInfo)
at CodeProject.AI.Server.Modules.ModuleProcessServices.StartProcess(ModuleConfig module, String installSummary)
17:32:07:*** Please check the CodeProject.AI installation completed successfully
17:32:07:Module ObjectDetectionYOLOv5-6.2 started successfully.
17:32:07:Installer exited with code 255
17:32:07:Installing initial module FaceProcessing.
17:32:07:Preparing to install module 'FaceProcessing'
17:32:07:Downloading module 'FaceProcessing'
17:32:07:Installing module 'FaceProcessing'
17:32:07:Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
17:32:07:FaceProcessing: 'chcp' is not recognized as an internal or external command,
17:32:07:FaceProcessing: operable program or batch file.
17:32:07:FaceProcessing: Installing CodeProject.AI Analysis Module
17:32:07:FaceProcessing: ======================================================================
17:32:07:FaceProcessing: CodeProject.AI Installer
17:32:07:FaceProcessing: ======================================================================
17:32:07:FaceProcessing: 'wmic' is not recognized as an internal or external command,
17:32:07:FaceProcessing: operable program or batch file.
17:32:07:FaceProcessing: -1.-1Gb of -1Gb available on
17:32:07:FaceProcessing: General CodeProject.AI setup
17:32:07:FaceProcessing: Creating Directories...done
17:32:07:FaceProcessing: GPU support
17:32:07:FaceProcessing: CUDA Present...No
17:32:08:FaceProcessing: ROCm Present...No
17:32:09:FaceProcessing: Reading FaceProcessing settings.......done
17:32:09:FaceProcessing: Installing module Face Processing 1.10.2
17:32:09:FaceProcessing: Installing Python 3.7
17:32:09:FaceProcessing: '"C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\python.exe"' is not recognized as an internal or external command,
17:32:09:FaceProcessing: operable program or batch file.
17:32:09:FaceProcessing: Creating Virtual Environment (Shared)...done
17:32:09:FaceProcessing: The system cannot find the path specified.
17:32:09:FaceProcessing: Confirming we have Python 3.7 in our virtual environment...
17:32:09:Module FaceProcessing installed successfully.
17:32:09:Running module using: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python
17:32:09:
17:32:09:Attempting to start FaceProcessing with C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python "C:\Program Files\CodeProject\AI\modules\FaceProcessing\intelligencelayer\face.py"
17:32:09:Starting C:\Program Files...ws\python37\venv\Scripts\python "C:\Program Files...ing\intelligencelayer\face.py"
17:32:09:
17:32:09:Module 'Face Processing' 1.10.2 (ID: FaceProcessing)
17:32:09:Valid: True
17:32:09:Module Path: <root>\modules\FaceProcessing
17:32:09:AutoStart: True
17:32:09:Queue: faceprocessing_queue
17:32:09:Runtime: python3.7
17:32:09:Runtime Loc: Shared
17:32:09:FilePath: intelligencelayer\face.py
17:32:09:Start pause: 3 sec
17:32:09:Parallelism: 0
17:32:09:LogVerbosity:
17:32:09:Platforms: all,!jetson
17:32:09:GPU Libraries: installed if available
17:32:09:GPU Enabled: enabled
17:32:09:Accelerator:
17:32:09:Half Precis.: enable
17:32:09:Environment Variables
17:32:09:APPDIR = <root>\modules\FaceProcessing\intelligencelayer
17:32:09:DATA_DIR = C:\ProgramData\CodeProject\AI
17:32:09:MODE = MEDIUM
17:32:09:MODELS_DIR = <root>\modules\FaceProcessing\assets
17:32:09:PROFILE = desktop_gpu
17:32:09:USE_CUDA = True
17:32:09:YOLOv5_AUTOINSTALL = false
17:32:09:YOLOv5_VERBOSE = false
17:32:09:
17:32:09:Error trying to start Face Processing (intelligencelayer/face.py)
17:32:09:Error is: An error occurred trying to start process 'C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python' with working directory 'C:\Program Files\CodeProject\AI\modules\FaceProcessing'. The system cannot find the file specified.
17:32:09: at System.Diagnostics.Process.StartWithCreateProcess(ProcessStartInfo startInfo)
at CodeProject.AI.Server.Modules.ModuleProcessServices.StartProcess(ModuleConfig module, String installSummary)
17:32:09:*** Please check the CodeProject.AI installation completed successfully
17:32:09:Module FaceProcessing started successfully.
17:32:09:Installer exited with code 255
17:32:12:Client request 'detect' in queue 'objectdetection_queue' (...b7ad90)
17:32:12:Client request 'detect' in queue 'objectdetection_queue' (...ef4c2d)
17:32:12:Client request 'detect' in queue 'objectdetection_queue' (...8a73dc)
17:32:12:Client request 'detect' in queue 'objectdetection_queue' (...20c5a1)
17:32:24:Update ObjectDetectionYOLOv5-6.2. Setting Activate=true
17:32:24:*** Restarting Object Detection (YOLOv5 6.2) to apply settings change
17:32:24:ObjectDetectionYOLOv5-6.2 has left the building
17:32:24:Running module using: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python
17:32:24:
17:32:24:Attempting to start ObjectDetectionYOLOv5-6.2 with C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2\detect_adapter.py"
17:32:24:Starting C:\Program Files...ws\python37\venv\Scripts\python "C:\Program Files...nYOLOv5-6.2\detect_adapter.py"
17:32:24:
17:32:24:Module 'Object Detection (YOLOv5 6.2)' 1.9.1 (ID: ObjectDetectionYOLOv5-6.2)
17:32:24:Valid: True
17:32:24:Module Path: <root>\modules\ObjectDetectionYOLOv5-6.2
17:32:24:AutoStart: True
17:32:24:Queue: objectdetection_queue
17:32:24:Runtime: python3.7
17:32:24:Runtime Loc: Shared
17:32:24:FilePath: detect_adapter.py
17:32:24:Start pause: 1 sec
17:32:24:Parallelism: 0
17:32:24:LogVerbosity:
17:32:24:Platforms: all,!raspberrypi,!jetson
17:32:24:GPU Libraries: installed if available
17:32:24:GPU Enabled: enabled
17:32:24:Accelerator:
17:32:24:Half Precis.: enable
17:32:24:Environment Variables
17:32:24:APPDIR = <root>\modules\ObjectDetectionYOLOv5-6.2
17:32:24:CUSTOM_MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\custom-models
17:32:24:MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\assets
17:32:24:MODEL_SIZE = Medium
17:32:24:USE_CUDA = True
17:32:24:YOLOv5_AUTOINSTALL = false
This happened after uninstall and reinstall
17:32:24:YOLOv5_VERBOSE = false
17:32:24:
17:32:24:Error trying to start Object Detection (YOLOv5 6.2) (detect_adapter.py)
17:32:24:Error is: An error occurred trying to start process 'C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Scripts\python' with working directory 'C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2'. The system cannot find the file specified.
17:32:24: at System.Diagnostics.Process.StartWithCreateProcess(ProcessStartInfo startInfo)
at CodeProject.AI.Server.Modules.ModuleProcessServices.StartProcess(ModuleConfig module, String installSummary)
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Asking because both started up and seem to be working. Is this bad? Good? Pointless? More / less accurate detections?
modified 22-Mar-24 12:59pm.
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The two modules will fight over requests. You are essentially splitting the work between the newer and older model architecture so you'll get slightly different (possibly hard to notice) results at double the memory cost.
cheers
Chris Maunder
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I use CPAI to do object validation for BlueIris. I use MobileSSD model with tiny model size.
Everything runs smoothly at about 60ms but times to times (once every 2-3 hours) I get a random > 2600ms detection time.
Sometimes it seems to be related to "Refreshing the Tensorflow Interpreter" but most of the time not. Any idea what could be the source ? Anything I can do to avoid that ?
07:37:25:Response rec'd from Object Detection (Coral) command 'detect' (...3f8019) ['No objects found'] took 52ms
07:38:32:Response rec'd from Object Detection (Coral) command 'detect' (...8e2903) ['No objects found'] took 53ms
07:39:24:Response rec'd from Object Detection (Coral) command 'detect' (...375f07) ['No objects found'] took 53ms
07:40:31:Response rec'd from Object Detection (Coral) command 'detect' (...7d9bf1) ['No objects found'] took 55ms
07:41:23:Response rec'd from Object Detection (Coral) command 'detect' (...a206c9) ['No objects found'] took 16ms
07:42:30:Response rec'd from Object Detection (Coral) command 'detect' (...ce5724) ['No objects found'] took 17ms
07:43:22:Response rec'd from Object Detection (Coral) command 'detect' (...3a592f) ['No objects found'] took 52ms
07:44:29:Response rec'd from Object Detection (Coral) command 'detect' (...9b146c) ['No objects found'] took 52ms
07:45:24:Response rec'd from Object Detection (Coral) command 'detect' (...aa6089) ['No objects found'] took 2656ms
07:46:28:Response rec'd from Object Detection (Coral) command 'detect' (...9c9570) ['No objects found'] took 52ms
07:47:20:Response rec'd from Object Detection (Coral) command 'detect' (...ccf584) ['No objects found'] took 17ms
07:48:27:Response rec'd from Object Detection (Coral) command 'detect' (...96f7cd) ['No objects found'] took 16ms
07:49:19:Response rec'd from Object Detection (Coral) command 'detect' (...6813a1) ['No objects found'] took 17ms
07:50:27:Response rec'd from Object Detection (Coral) command 'detect' (...e8d687) ['No objects found'] took 53ms
07:51:19:Response rec'd from Object Detection (Coral) command 'detect' (...df9d12) ['No objects found'] took 53ms
07:52:26:Response rec'd from Object Detection (Coral) command 'detect' (...05a38c) ['No objects found'] took 52ms
07:53:18:Response rec'd from Object Detection (Coral) command 'detect' (...a65898) ['No objects found'] took 52ms">
19:56:30:Response rec'd from Object Detection (Coral) command 'detect' (...b1904b) ['No objects found'] took 54ms
19:58:02:Response rec'd from Object Detection (Coral) command 'detect' (...e64121) ['No objects found'] took 53ms
19:58:29:Response rec'd from Object Detection (Coral) command 'detect' (...5b20a3) ['No objects found'] took 58ms
20:51:05:objectdetection_coral_adapter.py: Refreshing the Tensorflow Interpreter
20:51:05:objectdetection_coral_adapter.py: Refreshing the Tensorflow Interpreter
20:51:05:objectdetection_coral_adapter.py: Refreshing the Tensorflow Interpreter
20:51:05:objectdetection_coral_adapter.py: Refreshing the Tensorflow Interpreter
20:51:05:objectdetection_coral_adapter.py: Refreshing the Tensorflow Interpreter
20:51:05:objectdetection_coral_adapter.py: Refreshing the Tensorflow Interpreter
20:51:05:objectdetection_coral_adapter.py: Refreshing the Tensorflow Interpreter
20:51:05:objectdetection_coral_adapter.py: Refreshing the Tensorflow Interpreter
20:51:05:objectdetection_coral_adapter.py: Refreshing the Tensorflow Interpreter
20:51:05:objectdetection_coral_adapter.py: Refreshing the Tensorflow Interpreter
20:51:05:Response rec'd from Object Detection (Coral) command 'detect' (...4383f3) ['No objects found'] took 2675ms
20:51:06:Response rec'd from Object Detection (Coral) command 'detect' (...404675) ['No objects found'] took 61ms
20:51:06:Response rec'd from Object Detection (Coral) command 'detect' (...27deff) ['No objects found'] took 55ms
Module 'Object Detection (Coral)' 2.1.5 (ID: ObjectDetectionCoral)
Valid: True
Module Path: <root>/modules/ObjectDetectionCoral
AutoStart: True
Queue: objectdetection_queue
Runtime: python3.9
Runtime Loc: Local
FilePath: objectdetection_coral_adapter.py
Pre installed: False
Start pause: 1 sec
Parallelism: 1
LogVerbosity:
Platforms: all
GPU Libraries: installed if available
GPU Enabled: enabled
Accelerator:
Half Precis.: enable
Environment Variables
CPAI_CORAL_MODEL_NAME = MobileNet SSD
CPAI_CORAL_MULTI_TPU = False
MODELS_DIR = <root>/modules/ObjectDetectionCoral/assets
MODEL_SIZE = tiny
Status Data: {
"inferenceDevice": "TPU",
"inferenceLibrary": "TF-Lite",
"canUseGPU": "false",
"successfulInferences": 6577,
"failedInferences": 0,
"numInferences": 6577,
"averageInferenceMs": 10.651056712786986
}
Started: 15 Mar 2024 5:22:06 PM Coordinated Universal Time
LastSeen: 20 Mar 2024 12:21:35 PM Coordinated Universal Time
Status: Started
Requests: 10913 (includes status calls)
modified 20-Mar-24 11:23am.
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Thanks very much for your report. Could you please also share your System Info tab from your CodeProject.AI Server dashboard?
Thanks,
Sean Ewington
CodeProject
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I'm using Proxmox / LXC container / Docker / "codeproject/ai-server"
Server version: 2.5.6
System: Docker
Operating System: Linux (Ubuntu 22.04)
CPUs: AMD Ryzen 7 PRO 4750G with Radeon Graphics (AMD)
1 CPU x 8 cores. 16 logical processors (x64)
System RAM: 62 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Docker
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.16
.NET SDK: Not found
Default Python: Not found
Go: Not found
NodeJS: Not found
Video adapter info:
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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What you're seeing is Coral restarting the interpreter every hour.
Thanks,
Sean Ewington
CodeProject
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Thanks,
Is that expected or can it be tuned ?
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Theoretically it is something we could code in on our end, but we have no plans to do so at this time.
Thanks,
Sean Ewington
CodeProject
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