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It looks like Numpy 2.0 was just released and it is not backward compatible.
We will need to correct some requirements.txt files to take this into account.
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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So this Numpy issue is prohibiting OCR/License Plate Reader modules from functioning properly? Is that accurate?
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See:
Re: (FIXED) CPAI update from 2.6.2 to 2.6.5 - YOLOv8 installation issues
This fixed my ALPR issue that had the same symptoms. I just changed to the identical path, but with /ALPR/place of /ObjectDetectionYOLOv8/
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12:33:58:Started Object Detection (Coral) module
12:34:00:objectdetection_coral_adapter.py: A module that was compiled using NumPy 1.x cannot be run in
12:34:00:objectdetection_coral_adapter.py: NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
12:34:00:objectdetection_coral_adapter.py: versions of NumPy, modules must be compiled with NumPy 2.0.
12:34:00:objectdetection_coral_adapter.py: Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
12:34:00:objectdetection_coral_adapter.py: If you are a user of the module, the easiest solution will be to
12:34:00:objectdetection_coral_adapter.py: downgrade to 'numpy<2' or try to upgrade the affected module.
12:34:00:objectdetection_coral_adapter.py: We expect that some modules will need time to support NumPy 2.
12:34:00:objectdetection_coral_adapter.py: Traceback (most recent call last): File "C:\bin\code_project\runtimes\bin\windows\python39\lib\threading.py", line 930, in _bootstrap
12:34:00:objectdetection_coral_adapter.py: self._bootstrap_inner()
12:34:00:objectdetection_coral_adapter.py: File "C:\bin\code_project\runtimes\bin\windows\python39\lib\threading.py", line 973, in _bootstrap_inner
12:34:00:objectdetection_coral_adapter.py: self.run()
12:34:00:objectdetection_coral_adapter.py: File "C:\bin\code_project\runtimes\bin\windows\python39\lib\threading.py", line 910, in run
12:34:00:objectdetection_coral_adapter.py: self._target(*self._args, **self._kwargs)
12:34:00:objectdetection_coral_adapter.py: File "C:\bin\code_project\runtimes\bin\windows\python39\lib\concurrent\futures\thread.py", line 77, in _worker
12:34:00:objectdetection_coral_adapter.py: work_item.run()
12:34:00:objectdetection_coral_adapter.py: File "C:\bin\code_project\runtimes\bin\windows\python39\lib\concurrent\futures\thread.py", line 52, in run
12:34:00:objectdetection_coral_adapter.py: result = self.fn(*self.args, **self.kwargs)
12:34:00:objectdetection_coral_adapter.py: File "C:\bin\code_project\modules\ObjectDetectionCoral\objectdetection_coral_adapter.py", line 48, in initialise
12:34:00:objectdetection_coral_adapter.py: self.enable_GPU = self.system_info.hasCoralTPU
12:34:00:objectdetection_coral_adapter.py: File "C:\bin\code_project\modules\ObjectDetectionCoral\../../SDK/Python\system_info.py", line 344, in hasCoralTPU
12:34:00:objectdetection_coral_adapter.py: from pycoral.utils.edgetpu import list_edge_tpus
12:34:00:objectdetection_coral_adapter.py: File "C:\bin\code_project\modules\ObjectDetectionCoral\bin\windows\python39\venv\lib\site-packages\pycoral\utils\edgetpu.py", line 24, in
12:34:00:objectdetection_coral_adapter.py: from pycoral.pybind._pywrap_coral import GetRuntimeVersion as get_runtime_version
12:34:00:objectdetection_coral_adapter.py: AttributeError: _ARRAY_API not found
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I'd like to start by mentioning that CP.AI works beautifully... when it works.
Usually, that happens after I spend several hours fixing its installation after each update. This is a process that is, and has been in DIRE need of improvement for the last couple years since I started using CP.AI.
Updating from 2.6.2 to 2.6.5 is no different.
2.6.2 worked perfectly for months (that is, since about a day after I upgraded, because the first day was spent fixing the update process). Using YOLOv8 and License Plate Reader on a dedicated machine hosting Blue Iris, with an RTX 4060 as GPU.
I installed 2.6.5 - the default modules checked were YOLOv5 .NET and YOLOv5 6.2; since I use none, I unchecked them and checked YOLOv8 and License Plate Reader. Much to my surprise, once everything was installed, I found out that my options were ignored. It happens, I guess.
I uninstalled those modules and clicked "Install" (with "Do not use cache enabled") next to YOLOv8 module.
Nothing.
After several attempts, I restarted the CP.AI service - still nothing, no reaction to pressing the button for YOLOv8 module.
Running out of options, I restarted the whole PC and reinstalled CP.AI 2.6.5, once again checking YOLOv8 and License Plate Reader only.
Surprisingly, this time, the modules started installing... there is hope.
But both YOLOv8 and ALPR modules failed to install and start properly.
Log is below:
<pre>18:07:31:Installing module 'ObjectDetectionYOLOv8'
18:07:31:ObjectDetectionYOLOv8: Installing CodeProject.AI Analysis Module
18:07:31:ObjectDetectionYOLOv8: ======================================================================
18:07:31:ObjectDetectionYOLOv8: CodeProject.AI Installer
18:07:31:ObjectDetectionYOLOv8: ======================================================================
18:07:31:ObjectDetectionYOLOv8: 868.3Gb of 976Gb available on BIBoot
18:07:31:ObjectDetectionYOLOv8: General CodeProject.AI setup
18:07:31:ObjectDetectionYOLOv8: Creating Directories...done
18:07:31:ObjectDetectionYOLOv8: GPU support
18:07:31:ObjectDetectionYOLOv8: CUDA Present...Yes (CUDA 12.4, cuDNN 9.1)
18:07:31:ObjectDetectionYOLOv8: ROCm Present...No
18:07:31:ObjectDetectionYOLOv8: Checking for .NET 7.0...Checking SDKs...Upgrading: .NET is 0
18:07:31:ObjectDetectionYOLOv8: Current version is 0. Installing newer version.
18:07:31:ObjectDetectionYOLOv8: 'winget' is not recognized as an internal or external command,
18:07:31:ObjectDetectionYOLOv8: operable program or batch file.
18:07:33:ObjectDetectionYOLOv8: Reading ObjectDetectionYOLOv8 settings.......done
18:07:33:ObjectDetectionYOLOv8: Installing module Object Detection (YOLOv8) 1.4.3
18:07:33:Module ALPR started successfully.
18:07:33:ObjectDetectionYOLOv8: Installing Python 3.9
18:07:33:ObjectDetectionYOLOv8: Python 3.9 is already installed
18:07:38:ObjectDetectionYOLOv8: Creating Virtual Environment (Local)...done
18:07:38:ObjectDetectionYOLOv8: Confirming we have Python 3.9 in our virtual environment...present
18:07:38:ObjectDetectionYOLOv8: Installing Python packages for Object Detection (YOLOv8)
18:07:38:ObjectDetectionYOLOv8: [0;Installing GPU-enabled libraries: If available
18:07:40:ObjectDetectionYOLOv8: Ensuring Python package manager (pip) is installed...done
18:07:48:ObjectDetectionYOLOv8: Ensuring Python package manager (pip) is up to date...done
18:07:48:ObjectDetectionYOLOv8: Python packages specified by requirements.windows.cuda.txt
18:08:43:ObjectDetectionYOLOv8: - Installing PyTorch, an open source machine learning framework...(✅ checked) done
18:09:57:ObjectDetectionYOLOv8: - Installing TorchVision, for working with computer vision models...(✅ checked) done
18:11:46:ObjectDetectionYOLOv8: - Installing Ultralytics package for object detection in images...(✅ checked) done
18:11:47:ObjectDetectionYOLOv8: Installing Python packages for the CodeProject.AI Server SDK
18:11:48:ObjectDetectionYOLOv8: Ensuring Python package manager (pip) is installed...done
18:11:50:ObjectDetectionYOLOv8: Ensuring Python package manager (pip) is up to date...done
18:11:50:ObjectDetectionYOLOv8: Python packages specified by requirements.txt
18:11:51:ObjectDetectionYOLOv8: - Installing Pillow, a Python Image Library...Already installed
18:11:52:ObjectDetectionYOLOv8: - Installing Charset normalizer...Already installed
18:11:56:ObjectDetectionYOLOv8: - Installing aiohttp, the Async IO HTTP library...(✅ checked) done
18:11:58:ObjectDetectionYOLOv8: - Installing aiofiles, the Async IO Files library...(✅ checked) done
18:11:59:ObjectDetectionYOLOv8: - Installing py-cpuinfo to allow us to query CPU info...Already installed
18:12:00:ObjectDetectionYOLOv8: - Installing Requests, the HTTP library...Already installed
18:12:01:ObjectDetectionYOLOv8: Scanning modulesettings for downloadable models...Processing model list
18:14:52:ObjectDetectionYOLOv8: Downloading YOLOv8 Object Detection all sizes...Expanding...done.
18:14:52:ObjectDetectionYOLOv8: Copying contents of objectdetection-coco-yolov8-pt-nsmlx.zip to assets...done
18:18:04:ObjectDetectionYOLOv8: Downloading YOLOv8 Object Segmentation all sizes...Expanding...done.
18:18:04:ObjectDetectionYOLOv8: Copying contents of objectsegmentation-coco-yolov8-pt-nsmlx.zip to assets...done
18:18:34:ObjectDetectionYOLOv8: Downloading YOLOv8 Object Custom models...Expanding...done.
18:18:34:ObjectDetectionYOLOv8: Copying contents of objectdetection-custom-yolov8-pt-m.zip to custom-models...done
18:18:38:ObjectDetectionYOLOv8: A module that was compiled using NumPy 1.x cannot be run in
18:18:38:ObjectDetectionYOLOv8: NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
18:18:38:ObjectDetectionYOLOv8: versions of NumPy, modules must be compiled with NumPy 2.0.
18:18:38:ObjectDetectionYOLOv8: Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
18:18:38:ObjectDetectionYOLOv8: If you are a user of the module, the easiest solution will be to
18:18:38:ObjectDetectionYOLOv8: downgrade to 'numpy<2' or try to upgrade the affected module.
18:18:38:ObjectDetectionYOLOv8: We expect that some modules will need time to support NumPy 2.
18:18:38:ObjectDetectionYOLOv8: Traceback (most recent call last): File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\detect_adapter.py", line 20, in
18:18:38:ObjectDetectionYOLOv8: from detect import do_detection
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\detect.py", line 11, in
18:18:38:ObjectDetectionYOLOv8: from ultralytics import YOLO
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\__init__.py", line 5, in
18:18:38:ObjectDetectionYOLOv8: from ultralytics.data.explorer.explorer import Explorer
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\data\__init__.py", line 3, in
18:18:38:ObjectDetectionYOLOv8: from .base import BaseDataset
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\data\base.py", line 12, in
18:18:38:ObjectDetectionYOLOv8: import cv2
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\cv2\__init__.py", line 181, in
18:18:38:ObjectDetectionYOLOv8: bootstrap()
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\cv2\__init__.py", line 153, in bootstrap
18:18:38:ObjectDetectionYOLOv8: native_module = importlib.import_module("cv2")
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python39\lib\importlib\__init__.py", line 127, in import_module
18:18:38:ObjectDetectionYOLOv8: return _bootstrap._gcd_import(name[level:], package, level)
18:18:38:ObjectDetectionYOLOv8: AttributeError: _ARRAY_API not found
18:18:38:ObjectDetectionYOLOv8: Traceback (most recent call last):
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\detect_adapter.py", line 20, in
18:18:38:ObjectDetectionYOLOv8: from detect import do_detection
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\detect.py", line 11, in
18:18:38:ObjectDetectionYOLOv8: from ultralytics import YOLO
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\__init__.py", line 5, in
18:18:38:ObjectDetectionYOLOv8: from ultralytics.data.explorer.explorer import Explorer
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\data\__init__.py", line 3, in
18:18:38:ObjectDetectionYOLOv8: from .base import BaseDataset
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\data\base.py", line 12, in
18:18:38:ObjectDetectionYOLOv8: import cv2
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\cv2\__init__.py", line 181, in
18:18:38:ObjectDetectionYOLOv8: bootstrap()
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\cv2\__init__.py", line 153, in bootstrap
18:18:38:ObjectDetectionYOLOv8: native_module = importlib.import_module("cv2")
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python39\lib\importlib\__init__.py", line 127, in import_module
18:18:38:ObjectDetectionYOLOv8: return _bootstrap._gcd_import(name[level:], package, level)
18:18:38:ObjectDetectionYOLOv8: ImportError: numpy.core.multiarray failed to import
18:18:38:ObjectDetectionYOLOv8: Self test: Self-test passed
18:18:38:ObjectDetectionYOLOv8: Module setup time 00:11:06.29
18:18:38:ObjectDetectionYOLOv8: Setup complete
18:18:38:ObjectDetectionYOLOv8: Total setup time 00:11:06.94
18:18:38:Module ObjectDetectionYOLOv8 installed successfully.
18:18:38:Module ObjectDetectionYOLOv8 not configured to AutoStart.
18:18:38:Installer exited with code 0
Now, I am not a Python developer, therefore I don't know how to resolve this. I do see there are two separate problems:
1.
18:07:31:ObjectDetectionYOLOv8: Checking for .NET 7.0...Checking SDKs...Upgrading: .NET is 0
18:07:31:ObjectDetectionYOLOv8: Current version is 0. Installing newer version.
18:07:31:ObjectDetectionYOLOv8: 'winget' is not recognized as an internal or external command,
18:07:31:ObjectDetectionYOLOv8: operable program or batch file.
2.
<pre>18:18:38:ObjectDetectionYOLOv8: A module that was compiled using NumPy 1.x cannot be run in
18:18:38:ObjectDetectionYOLOv8: NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
18:18:38:ObjectDetectionYOLOv8: versions of NumPy, modules must be compiled with NumPy 2.0.
18:18:38:ObjectDetectionYOLOv8: Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
18:18:38:ObjectDetectionYOLOv8: If you are a user of the module, the easiest solution will be to
18:18:38:ObjectDetectionYOLOv8: downgrade to 'numpy<2' or try to upgrade the affected module.
18:18:38:ObjectDetectionYOLOv8: We expect that some modules will need time to support NumPy 2.
18:18:38:ObjectDetectionYOLOv8: Traceback (most recent call last): File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\detect_adapter.py", line 20, in
18:18:38:ObjectDetectionYOLOv8: from detect import do_detection
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\detect.py", line 11, in
18:18:38:ObjectDetectionYOLOv8: from ultralytics import YOLO
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\__init__.py", line 5, in
18:18:38:ObjectDetectionYOLOv8: from ultralytics.data.explorer.explorer import Explorer
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\data\__init__.py", line 3, in
18:18:38:ObjectDetectionYOLOv8: from .base import BaseDataset
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\data\base.py", line 12, in
18:18:38:ObjectDetectionYOLOv8: import cv2
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\cv2\__init__.py", line 181, in
18:18:38:ObjectDetectionYOLOv8: bootstrap()
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\cv2\__init__.py", line 153, in bootstrap
18:18:38:ObjectDetectionYOLOv8: native_module = importlib.import_module("cv2")
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python39\lib\importlib\__init__.py", line 127, in import_module
18:18:38:ObjectDetectionYOLOv8: return _bootstrap._gcd_import(name[level:], package, level)
18:18:38:ObjectDetectionYOLOv8: AttributeError: _ARRAY_API not found
18:18:38:ObjectDetectionYOLOv8: Traceback (most recent call last):
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\detect_adapter.py", line 20, in
18:18:38:ObjectDetectionYOLOv8: from detect import do_detection
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\detect.py", line 11, in
18:18:38:ObjectDetectionYOLOv8: from ultralytics import YOLO
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\__init__.py", line 5, in
18:18:38:ObjectDetectionYOLOv8: from ultralytics.data.explorer.explorer import Explorer
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\data\__init__.py", line 3, in
18:18:38:ObjectDetectionYOLOv8: from .base import BaseDataset
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\ultralytics\data\base.py", line 12, in
18:18:38:ObjectDetectionYOLOv8: import cv2
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\cv2\__init__.py", line 181, in
18:18:38:ObjectDetectionYOLOv8: bootstrap()
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\lib\site-packages\cv2\__init__.py", line 153, in bootstrap
18:18:38:ObjectDetectionYOLOv8: native_module = importlib.import_module("cv2")
18:18:38:ObjectDetectionYOLOv8: File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python39\lib\importlib\__init__.py", line 127, in import_module
18:18:38:ObjectDetectionYOLOv8: return _bootstrap._gcd_import(name[level:], package, level)
18:18:38:ObjectDetectionYOLOv8: ImportError: numpy.core.multiarray failed to import
I attempted to fix the first issue by manually installing .NET 7.0 - which resolved exactly nothing. Same error messages appeared.
So, once again, I am at someone else's pity to help me successfully finalize the update.
Thank you!
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I have resolved NumPy 2.0.0 error by downgrading to NumPy 1.23.0
For those which experience a similar issue, here are the steps:
1. Open a Command Prompt in Admin mode;
2. Navigate to the YOLOv8 installation folder, Scripts subfolder. In my case, the full path was
C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv8\bin\windows\python39\venv\Scripts>
3. Activate the virtual environment by typing:
activate
4. Run the following command:
pip install numpy==1.23.0
This will uninstall NumPy 2.0.0 and replace it with NumPy 1.23.0
Afterwards, the YOLOv8 module will start and run successfully.
At this point, I am too tired and fed up to even attempt installing other modules. At least Blue Iris sends info to CP.AI and detections are successfully processed.
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YOLO5.Net stops running after an hour or two even though it's supposed to stop / start with Blue Iris. The Blue Iris Server is running. The CodeProjectAI server indicates it is still on-line.
How can I prevent YOLOv5.net from stopping?
19:25:51:System: Windows
19:25:51:Operating System: Windows (Microsoft Windows 11 version 10.0.22631)
19:25:51:CPUs: 13th Gen Intel(R) Core(TM) i7-1360P (Intel)
19:25:51: 1 CPU x 12 cores. 16 logical processors (x64)
19:25:51:GPU (Primary): Intel(R) Iris(R) Xe Graphics (128 MiB) (Intel Corporation)
19:25:51: Driver: 31.0.101.5522
19:25:51:System RAM: 32 GiB
19:25:51:Platform: Windows
19:25:51:BuildConfig: Release
19:25:51:Execution Env: Native
19:25:51:Runtime Env: Production
19:25:51:Runtimes installed:
19:25:51: .NET runtime: 8.0.3
19:25:51: .NET SDK: 8.0.202
19:25:51: Default Python: Not found
19:25:51: Go: Not found
19:25:51: NodeJS: Not found
19:25:51: Rust: Not found
19:25:51:App DataDir: C:\ProgramData\CodeProject\AI
19:25:51:Video adapter info:
19:25:51: Intel(R) Iris(R) Xe Graphics:
19:25:51: Driver Version 31.0.101.5522
19:25:51: Video Processor Intel(R) Iris(R) Xe Graphics Family
19:25:51:STARTING CODEPROJECT.AI SERVER
19:25:51:RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
19:25:51:PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
19:25:51:DEMO_MODULES_PATH = C:\Program Files\CodeProject\AI\src\demos\modules
19:25:51:EXTERNAL_MODULES_PATH =
19:25:51:MODULES_PATH = C:\Program Files\CodeProject\AI\modules
19:25:51:PYTHON_PATH = \bin\windows\%PYTHON_NAME%\venv\Scripts\python
19:25:51:Data Dir = C:\ProgramData\CodeProject\AI
19:25:51:Server version: 2.6.5
19:25:55:
19:25:55:Module 'Face Processing' 1.10.2 (ID: FaceProcessing)
19:25:55:Valid: True
19:25:55:Module Path: <root>\modules\FaceProcessing
19:25:55:Module Location: Internal
19:25:55:AutoStart: True
19:25:55:Queue: faceprocessing_queue
19:25:55:Runtime: python3.7
19:25:55:Runtime Location: Shared
19:25:55:FilePath: intelligencelayer\face.py
19:25:55:Start pause: 3 sec
19:25:55:Parallelism: 0
19:25:55:LogVerbosity:
19:25:55:Platforms: all,!jetson
19:25:55:GPU Libraries: installed if available
19:25:55:GPU: use if supported
19:25:55:Accelerator:
19:25:55:Half Precision: enable
19:25:55:Environment Variables
19:25:55:APPDIR = <root>\modules\FaceProcessing\intelligencelayer
19:25:55:DATA_DIR = C:\ProgramData\CodeProject\AI
19:25:55:MODE = MEDIUM
19:25:55:MODELS_DIR = <root>\modules\FaceProcessing\assets
19:25:55:PROFILE = desktop_gpu
19:25:55:USE_CUDA = True
19:25:55:YOLOv5_AUTOINSTALL = false
19:25:55:YOLOv5_VERBOSE = false
19:25:55:
19:25:55:Started Face Processing module
19:25:57:Server: This is the latest version
19:28:35:Sending shutdown request to python/FaceProcessing
19:28:49:face.py: Face Processing started.
19:28:50:Module FaceProcessing has shutdown
19:28:50:face.py: has exited
19:29:08:FaceProcessing went quietly
Logging level
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Thanks very much for your report. Let's start with unchecking that box, Auto start/stop with Blue Iris.
Independent of Blue Iris, if you leave CodeProject.AI Server open and running, using it in the Explorer, does it the server or modules go offline?
Thanks,
Sean Ewington
CodeProject
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when this problem initially occurred, CodeProject was starting and stopping correctly when Blue Iris started and stopped, but YOLOv5.net would never start even when CodeProject started. I had to manualy restart YOLOv5.net to get it to run, but it would shut down within 2 hours even if I left Blue Iris up. Same with the Blue Iris server running. I tried unchecking and rechecking the box without any success.
I uninstalled both Blue Iris and Code Project and reinstalled everything. Now everything is running OK with the box checked, but never shuts down with Blue Iris even with the Blue Iris Server not running. Checking or unchecking the box doesn't seem to make a difference.
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If I already have cropped plates is it possible to bypass detecting what is a plate and just submit a cropped plate to the OCR part and return the plate?
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Can you post some sample images at full resolution. I will try add the option to only run the OCR in the next release of the ALPR module.
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System info:
Server version: 2.6.5
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i5-7500 CPU @ 3.40GHz (Intel)
1 CPU x 4 cores. 4 logical processors (x64)
GPU (Primary): Intel(R) HD Graphics 630 (1,024 MiB) (Intel Corporation)
Driver: 31.0.101.2111
System RAM: 16 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.5
.NET SDK: Not found
Default Python: Not found
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
Intel(R) HD Graphics 630:
Driver Version 31.0.101.2111
Video Processor Intel(R) HD Graphics Family
System GPU info:
GPU 3D Usage 4%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
I am assuming that I need to use the Default Objects setting in Blue Iris since there are no real models that reduce the number of objects that are found using the Coral module.
Blue Iris AI Settings:
Blue Iris Camera Settings:
Are there any recommended settings for the Coral Module that I can use to improve the accuracy of the results from the Coral Module?
Using what I assume are the default settings for the Coral module, I get this in Blue Iris.
The Coral module seems to return lots and lots of "persons". (Plus an Airplane?) Is there any Coral Model that is more accurate? I have changed the model size from small to medium, but this doesn't seem to have any affect.
I keep going back to the YOLOv5 .Net module, which is slower, but seems to be more accurate using the ipcam-* models.
Coral Module Info:
Module 'Object Detection (Coral)' 2.2.2 (ID: ObjectDetectionCoral)
Valid: True
Module Path: <root>\modules\ObjectDetectionCoral
Module Location: Internal
AutoStart: True
Queue: objectdetection_queue
Runtime: python3.9
Runtime Location: Local
FilePath: objectdetection_coral_adapter.py
Start pause: 1 sec
Parallelism: 16
LogVerbosity:
Platforms: all
GPU Libraries: installed if available
GPU: use if supported
Accelerator:
Half Precision: enable
Environment Variables
CPAI_CORAL_MODEL_NAME = MobileNet SSD
CPAI_CORAL_MULTI_TPU = True
MODELS_DIR = <root>\modules\ObjectDetectionCoral\assets
MODEL_SIZE = medium
Status Data: {
"inferenceDevice": "Multi-TPU",
"inferenceLibrary": "TF-Lite",
"canUseGPU": "false",
"successfulInferences": 297,
"failedInferences": 7,
"numInferences": 304,
"averageInferenceMs": 13.447811447811448
}
Started: 12 Jun 2024 9:08:09 AM Central Standard Time
LastSeen: 12 Jun 2024 9:19:16 AM Central Standard Time
Status: Stopped
Requests: 304 (includes status calls)
Installation Log
2024-06-06 08:00:39: Installing CodeProject.AI Analysis Module
2024-06-06 08:00:39: ======================================================================
2024-06-06 08:00:39: CodeProject.AI Installer
2024-06-06 08:00:39: ======================================================================
2024-06-06 08:00:39: 285.7Gb of 487Gb available on
2024-06-06 08:00:39: General CodeProject.AI setup
2024-06-06 08:00:39: Creating Directories...Done
2024-06-06 08:00:39: GPU support
2024-06-06 08:00:40: CUDA Present...No
2024-06-06 08:00:40: ROCm Present...No
2024-06-06 08:00:42: Reading ObjectDetectionCoral settings.......Done
2024-06-06 08:00:42: Installing module Object Detection (Coral) 2.1.6
2024-06-06 08:00:42: Installing Python 3.9
2024-06-06 08:00:49: Downloading Python 3.9 interpreter...Expanding...Done.
2024-06-06 08:00:57: Creating Virtual Environment (Local)...Done
2024-06-06 08:00:58: Confirming we have Python 3.9 in our virtual environment...present
2024-06-06 08:01:01: Downloading edge TPU runtime...Expanding...Done.
2024-06-06 08:01:01: Copying contents of edgetpu_runtime-20221024.zip to edgetpu_runtime...done
2024-06-06 08:01:01: Installing the edge TPU libraries...
2024-06-06 08:01:01: Installing UsbDk
2024-06-06 08:01:02: Installing Windows drivers
2024-06-06 08:01:02: Microsoft PnP Utility
2024-06-06 08:01:02: Adding driver package: coral.inf
2024-06-06 08:01:02: Driver package added successfully. (Already exists in the system)
2024-06-06 08:01:02: Published Name: oem40.inf
2024-06-06 08:01:02: Driver package is up-to-date on device: PCI\VEN_1AC1&DEV_089A&SUBSYS_089A1AC1&REV_00\4&6ba732e&0&00D8
2024-06-06 08:01:02: Adding driver package: Coral_USB_Accelerator.inf
2024-06-06 08:01:02: Driver package added successfully. (Already exists in the system)
2024-06-06 08:01:02: Published Name: oem43.inf
2024-06-06 08:01:02: Driver package installed on device: USB\VID_18D1&PID_9302\5&220fb38b&0&10
2024-06-06 08:01:02: Adding driver package: Coral_USB_Accelerator_(DFU).inf
2024-06-06 08:01:02: Driver package added successfully. (Already exists in the system)
2024-06-06 08:01:02: Published Name: oem55.inf
2024-06-06 08:01:02: Total driver packages: 3
2024-06-06 08:01:02: Added driver packages: 2
2024-06-06 08:01:02: Installing performance counters
2024-06-06 08:01:02: Info: Provider {aaa5bf9e-c44b-4177-af65-d3a06ba45fe7} defined in C:\Program Files\CodeProject\AI\modules\ObjectDetectionCoral\edgetpu_runtime\third_party\coral_accelerator_windows\coral.man is already installed in system repository.
2024-06-06 08:01:02: Info: Successfully installed performance counters in C:\Program Files\CodeProject\AI\modules\ObjectDetectionCoral\edgetpu_runtime\third_party\coral_accelerator_windows\coral.manCopying edgetpu and libusb to System32
2024-06-06 08:01:02: 1 file(s) copied.
2024-06-06 08:01:02: 1 file(s) copied.
2024-06-06 08:01:02: Install complete
2024-06-06 08:01:10: Downloading EfficientDet (large) models...Expanding...Done.
2024-06-06 08:01:10: Copying contents of objectdetection-efficientdet-large-edgetpu.zip to assets...done
2024-06-06 08:01:14: Downloading EfficientDet (medium) models...Expanding...Done.
2024-06-06 08:01:14: Copying contents of objectdetection-efficientdet-medium-edgetpu.zip to assets...done
2024-06-06 08:01:18: Downloading EfficientDet (small) models...Expanding...Done.
2024-06-06 08:01:19: Copying contents of objectdetection-efficientdet-small-edgetpu.zip to assets...done
2024-06-06 08:01:21: Downloading EfficientDet (tiny) models...Expanding...Done.
2024-06-06 08:01:21: Copying contents of objectdetection-efficientdet-tiny-edgetpu.zip to assets...done
2024-06-06 08:01:34: Downloading MobileNet (large) models...Expanding...Done.
2024-06-06 08:01:34: Copying contents of objectdetection-mobilenet-large-edgetpu.zip to assets...done
2024-06-06 08:01:37: Downloading MobileNet (medium) models...Expanding...Done.
2024-06-06 08:01:37: Copying contents of objectdetection-mobilenet-medium-edgetpu.zip to assets...done
2024-06-06 08:01:40: Downloading MobileNet (small) models...Expanding...Done.
2024-06-06 08:01:40: Copying contents of objectdetection-mobilenet-small-edgetpu.zip to assets...done
2024-06-06 08:01:43: Downloading MobileNet (tiny) models...Expanding...Done.
2024-06-06 08:01:43: Copying contents of objectdetection-mobilenet-tiny-edgetpu.zip to assets...done
2024-06-06 08:01:58: Downloading YOLOv8 (large) models...Expanding...Done.
2024-06-06 08:01:58: Copying contents of objectdetection-yolov8-large-edgetpu.zip to assets...done
2024-06-06 08:02:10: Downloading YOLOv8 (medium) models...Expanding...Done.
2024-06-06 08:02:13: Copying contents of objectdetection-yolov8-medium-edgetpu.zip to assets...done
2024-06-06 08:02:21: Downloading YOLOv8 (small) models...Expanding...Done.
2024-06-06 08:02:21: Copying contents of objectdetection-yolov8-small-edgetpu.zip to assets...done
2024-06-06 08:02:28: Downloading YOLOv8 (tiny) models...Expanding...Done.
2024-06-06 08:02:29: Copying contents of objectdetection-yolov8-tiny-edgetpu.zip to assets...done
2024-06-06 08:02:29: Installing Python packages for Object Detection (Coral)
2024-06-06 08:02:29: [0;Installing GPU-enabled libraries: If available
2024-06-06 08:02:34: Ensuring Python package manager (pip) is installed...Done
2024-06-06 08:02:44: Ensuring Python package manager (pip) is up to date...Done
2024-06-06 08:02:44: Python packages specified by requirements.windows.txt
2024-06-06 08:02:48: - Installing Pillow, a Python Image Library...(checked) Done
2024-06-06 08:02:54: - Installing Tensorflow Lite...(checked) Done
2024-06-06 08:03:02: - Installing PyCoral...(checked) Done
2024-06-06 08:03:21: - Installing NumPy, a package for scientific computing...Already installed
2024-06-06 08:03:21: Installing Python packages for the CodeProject.AI Server SDK
2024-06-06 08:03:23: Ensuring Python package manager (pip) is installed...Done
2024-06-06 08:03:25: Ensuring Python package manager (pip) is up to date...Done
2024-06-06 08:03:25: Python packages specified by requirements.txt
2024-06-06 08:03:26: - Installing Pillow, a Python Image Library...Already installed
2024-06-06 08:03:29: - Installing Charset normalizer...(checked) Done
2024-06-06 08:03:33: - Installing aiohttp, the Async IO HTTP library...(checked) Done
2024-06-06 08:03:35: - Installing aiofiles, the Async IO Files library...(checked) Done
2024-06-06 08:03:38: - Installing py-cpuinfo to allow us to query CPU info...(checked) Done
2024-06-06 08:03:41: - Installing Requests, the HTTP library...(checked) Done
2024-06-06 08:03:48: Self test: Self-test passed
2024-06-06 08:03:48: Module setup time 00:03:07.86
2024-06-06 08:03:48: Setup complete
2024-06-06 08:03:48: Total setup time 00:03:09.13
Installer exited with code 0
2024-06-10 17:22:48: Installing CodeProject.AI Analysis Module
2024-06-10 17:22:49: ======================================================================
2024-06-10 17:22:49: CodeProject.AI Installer
2024-06-10 17:22:49: ======================================================================
2024-06-10 17:22:50: 289.9Gb of 487Gb available on
2024-06-10 17:22:50: General CodeProject.AI setup
2024-06-10 17:22:50: Creating Directories...done
2024-06-10 17:22:50: GPU support
2024-06-10 17:22:51: CUDA Present...No
2024-06-10 17:22:51: ROCm Present...No
2024-06-10 17:22:51: Checking for .NET 7.0...Checking SDKs...Upgrading: .NET is 0
2024-06-10 17:22:51: Current version is 0. Installing newer version.
2024-06-10 17:22:51: 'winget' is not recognized as an internal or external command,
2024-06-10 17:22:51: operable program or batch file.
2024-06-10 17:22:54: Reading ObjectDetectionCoral settings.......done
2024-06-10 17:22:54: Installing module Object Detection (Coral) 2.2.2
2024-06-10 17:22:55: Installing Python 3.9
2024-06-10 17:22:55: Python 3.9 is already installed
2024-06-10 17:22:56: Creating Virtual Environment (Local)...Virtual Environment already present
2024-06-10 17:22:56: Confirming we have Python 3.9 in our virtual environment...present
2024-06-10 17:22:56: Installing the edge TPU libraries...
2024-06-10 17:22:56: Installing UsbDk
2024-06-10 17:22:57: Installing Windows drivers
2024-06-10 17:22:57: Microsoft PnP Utility
2024-06-10 17:22:57: Adding driver package: coral.inf
2024-06-10 17:22:57: Driver package added successfully. (Already exists in the system)
2024-06-10 17:22:57: Published Name: oem40.inf
2024-06-10 17:22:57: Driver package is up-to-date on device: PCI\VEN_1AC1&DEV_089A&SUBSYS_089A1AC1&REV_00\4&6ba732e&0&00D8
2024-06-10 17:22:57: Adding driver package: Coral_USB_Accelerator.inf
2024-06-10 17:22:57: Driver package added successfully. (Already exists in the system)
2024-06-10 17:22:57: Published Name: oem43.inf
2024-06-10 17:22:57: Driver package installed on device: USB\VID_18D1&PID_9302\5&220fb38b&0&10
2024-06-10 17:22:57: Adding driver package: Coral_USB_Accelerator_(DFU).inf
2024-06-10 17:22:57: Driver package added successfully. (Already exists in the system)
2024-06-10 17:22:57: Published Name: oem55.inf
2024-06-10 17:22:57: Total driver packages: 3
2024-06-10 17:22:57: Added driver packages: 2
2024-06-10 17:22:57: Installing performance counters
2024-06-10 17:22:57: Info: Provider {aaa5bf9e-c44b-4177-af65-d3a06ba45fe7} defined in C:\Program Files\CodeProject\AI\modules\ObjectDetectionCoral\edgetpu_runtime\third_party\coral_accelerator_windows\coral.man is already installed in system repository.
2024-06-10 17:22:57: Info: Successfully installed performance counters in C:\Program Files\CodeProject\AI\modules\ObjectDetectionCoral\edgetpu_runtime\third_party\coral_accelerator_windows\coral.manCopying edgetpu and libusb to System32
2024-06-10 17:22:57: 1 file(s) copied.
2024-06-10 17:22:57: 1 file(s) copied.
2024-06-10 17:22:57: Install complete
2024-06-10 17:23:07: Downloading EfficientDet (large) models...Expanding...done.
2024-06-10 17:23:07: Copying contents of objectdetection-efficientdet-large-edgetpu.zip to assets...done
2024-06-10 17:23:14: Downloading EfficientDet (medium) models...Expanding...done.
2024-06-10 17:23:14: Copying contents of objectdetection-efficientdet-medium-edgetpu.zip to assets...done
2024-06-10 17:23:21: Downloading EfficientDet (small) models...Expanding...done.
2024-06-10 17:23:21: Copying contents of objectdetection-efficientdet-small-edgetpu.zip to assets...done
2024-06-10 17:23:26: Downloading EfficientDet (tiny) models...Expanding...done.
2024-06-10 17:23:26: Copying contents of objectdetection-efficientdet-tiny-edgetpu.zip to assets...done
2024-06-10 17:23:44: Downloading MobileNet (large) models...Expanding...done.
2024-06-10 17:23:44: Copying contents of objectdetection-mobilenet-large-edgetpu.zip to assets...done
2024-06-10 17:23:47: Downloading MobileNet (medium) models...Expanding...done.
2024-06-10 17:23:47: Copying contents of objectdetection-mobilenet-medium-edgetpu.zip to assets...done
2024-06-10 17:23:51: Downloading MobileNet (small) models...Expanding...done.
2024-06-10 17:23:51: Copying contents of objectdetection-mobilenet-small-edgetpu.zip to assets...done
2024-06-10 17:23:55: Downloading MobileNet (tiny) models...Expanding...done.
2024-06-10 17:23:55: Copying contents of objectdetection-mobilenet-tiny-edgetpu.zip to assets...done
2024-06-10 17:24:15: Downloading YOLOv8 (large) models...Expanding...done.
2024-06-10 17:24:15: Copying contents of objectdetection-yolov8-large-edgetpu.zip to assets...done
2024-06-10 17:24:30: Downloading YOLOv8 (medium) models...Expanding...done.
2024-06-10 17:24:30: Copying contents of objectdetection-yolov8-medium-edgetpu.zip to assets...done
2024-06-10 17:24:34: Downloading YOLOv8 (small) models...Expanding...done.
2024-06-10 17:24:34: Copying contents of objectdetection-yolov8-small-edgetpu.zip to assets...done
2024-06-10 17:24:35: Downloading YOLOv8 (tiny) models...Expanding...done.
2024-06-10 17:24:35: Copying contents of objectdetection-yolov8-tiny-edgetpu.zip to assets...done
2024-06-10 17:24:35: Installing Python packages for Object Detection (Coral)
2024-06-10 17:24:35: [0;Installing GPU-enabled libraries: If available
2024-06-10 17:24:37: Ensuring Python package manager (pip) is installed...done
2024-06-10 17:24:40: Ensuring Python package manager (pip) is up to date...done
2024-06-10 17:24:40: Python packages specified by requirements.windows.txt
2024-06-10 17:24:41: - Installing Pillow, a Python Image Library...Already installed
2024-06-10 17:24:42: - Installing Tensorflow Lite...Already installed
2024-06-10 17:24:43: - Installing PyCoral...Already installed
2024-06-10 17:25:05: - Installing NumPy, a package for scientific computing...Already installed
2024-06-10 17:25:05: Installing Python packages for the CodeProject.AI Server SDK
2024-06-10 17:25:06: Ensuring Python package manager (pip) is installed...done
2024-06-10 17:25:09: Ensuring Python package manager (pip) is up to date...done
2024-06-10 17:25:09: Python packages specified by requirements.txt
2024-06-10 17:25:10: - Installing Pillow, a Python Image Library...Already installed
2024-06-10 17:25:11: - Installing Charset normalizer...Already installed
2024-06-10 17:25:12: - Installing aiohttp, the Async IO HTTP library...Already installed
2024-06-10 17:25:13: - Installing aiofiles, the Async IO Files library...Already installed
2024-06-10 17:25:14: - Installing py-cpuinfo to allow us to query CPU info...Already installed
2024-06-10 17:25:15: - Installing Requests, the HTTP library...Already installed
2024-06-10 17:25:16: Scanning modulesettings for downloadable models...Processing model list
2024-06-10 17:25:17: Downloading MobileNet Large...already exists...Expanding...done.
2024-06-10 17:25:17: Copying contents of objectdetection-mobilenet-large-edgetpu.zip to assets...done
2024-06-10 17:25:19: Downloading MobileNet Medium...already exists...Expanding...done.
2024-06-10 17:25:19: Copying contents of objectdetection-mobilenet-medium-edgetpu.zip to assets...done
2024-06-10 17:25:20: Downloading MobileNet Small...already exists...Expanding...done.
2024-06-10 17:25:20: Copying contents of objectdetection-mobilenet-small-edgetpu.zip to assets...done
2024-06-10 17:25:22: Downloading MobileNet Tiny...already exists...Expanding...done.
2024-06-10 17:25:22: Copying contents of objectdetection-mobilenet-tiny-edgetpu.zip to assets...done
2024-06-10 17:25:36: Self test: Self-test passed
2024-06-10 17:25:36: Module setup time 00:02:44.52
2024-06-10 17:25:36: Setup complete
2024-06-10 17:25:36: Total setup time 00:02:46.62
Installer exited with code 0
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Someone else will need to get you the correct settings, but I suspect that yours are wrong because ‘IPcam-combined’ isn’t currently supported for Coral. Try using the default model first instead of a custom one. Also, your confidence threshold is low.
Edit: also, are you able to switch to YOLOv8 from MobileNet SSD?
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Maybe I didn't explain completely.
I go back to YOLOv5 .NET because I get more accurate results with the YOLOv5.NET WITH the ipcam-* models.
I know those models are not available with the Coral modules.
That's why I use the Default Objects settings.
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AFAIK the Use custom models and the use default objects options on the Settings AI page control how the request to CPAI is constructed.
The ipcam-combined model field in the camera page is ignored if the default objects checkbox is checked.
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Also, confidence was set low because at one time I was missing things like persons, cars, busses etc. I eventually got tired of spending hours trying to find tune those settings. BTW, the YOLO modules work fine with those settings. Just Coral module produces those multiple "person" identifications.
I will try the YOLO8 model in the Coral module. (Again)
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Changed to YOLO V8 Using Default Object Detection in Blue Iris.
Module 'Object Detection (Coral)' 2.2.2 (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
Start pause: 1 sec
Parallelism: 16
LogVerbosity:
Platforms: all
GPU Libraries: installed if available
GPU Enabled: enabled
Accelerator:
Half Precis.: enable
Environment Variables
CPAI_CORAL_MODEL_NAME = YOLOv8
CPAI_CORAL_MULTI_TPU = true
MODELS_DIR = <root>\modules\ObjectDetectionCoral\assets
MODEL_SIZE = medium
Status Data: {
"inferenceDevice": "Multi-TPU",
"inferenceLibrary": "TF-Lite",
"canUseGPU": "false",
"successfulInferences": 384,
"failedInferences": 0,
"numInferences": 384,
"averageInferenceMs": 14.434895833333334
}
Started: 12 Jun 2024 4:36:46 PM Central Standard Time
LastSeen: 12 Jun 2024 4:42:47 PM Central Standard Time
Status: Started
Requests: 445 (includes status calls)
Results:
I'm going to remove the "Banana" from the cancel textbox.
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I'm done trying this for now.
I've also been trying to get a handle on a memory leak that started on 6/6 when I installed 2.6.5. Blue Iris goes from ~600 mBytes to ~9 gBytes over about 15 hours. Eventually Blue Iris shows only "nothing found".
Back to Old Faithful.
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Hi,
Following upgrade to CPAI 2.6.5 on Ubuntu I have seen the Coral module crash several times, with the UI showing "Lost Contact" with the module and the following log messages:
09:02:11:Response rec'd from Object Detection (Coral) command 'detect' (...ee25ac) [''] took 21ms
09:03:17:objectdetection_coral_adapter.py: WARNING:root:Queue stalled; refreshing interpreters.
09:03:18:objectdetection_coral_adapter.py: WARNING:root:Queue stalled; refreshing interpreters.
09:04:13:objectdetection_coral_adapter.py: WARNING:root:Queue stalled; refreshing interpreters.
09:04:15:objectdetection_coral_adapter.py: WARNING:root:Queue stalled; refreshing interpreters.
09:04:17:objectdetection_coral_adapter.py: WARNING:root:Queue stalled; refreshing interpreters.
09:04:17:objectdetection_coral_adapter.py: WARNING:root:Pipe thread didn't join!
and again a few hours later:
11:48:52:Response rec'd from Object Detection (Coral) command 'detect' (...f1837e) [''] took 19ms
11:50:22:objectdetection_coral_adapter.py: WARNING:root:Queue stalled; refreshing interpreters.
11:51:22:objectdetection_coral_adapter.py: WARNING:root:Pipe thread didn't join!
I have a second instance that is still on 2.6.2 which has not exhibited this behaviour, so assume this to be an issue with the new code.
modified 11-Jun-24 8:34am.
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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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sure..
Server version: 2.6.5
System: Linux
Operating System: Linux (Ubuntu 22.04)
CPUs: Intel(R) Xeon(R) CPU E3-1268L v3 @ 2.30GHz (Intel)
4 CPUs x 1 core. 1 logical processors (x64)
System RAM: 2 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:
VMware SVGA II Adapter:
Driver Version
Video Processor
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
and from the other system thats not exhibiting the same behaviour:
Server version: 2.6.2
System: Linux
Operating System: Linux (Ubuntu 22.04)
CPUs: Intel(R) Xeon(R) CPU E3-1268L v3 @ 2.30GHz (Intel)
4 CPUs x 1 core. 1 logical processors (x64)
System RAM: 2 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:
VMware SVGA II Adapter:
Driver Version
Video Processor
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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Thanks very much for that. We have an update to the module we are going to deploy. Stay tuned.
Thanks,
Sean Ewington
CodeProject
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09:56:41:ObjectDetectionCoral went quietly
09:56:41:
09:56:41:Module 'Object Detection (Coral)' 2.3.1 (ID: ObjectDetectionCoral)
09:56:41:Valid: True
09:56:41:Module Path: <root>/modules/ObjectDetectionCoral
09:56:41:Module Location: Internal
09:56:41:AutoStart: True
09:56:41:Queue: objectdetection_queue
09:56:41:Runtime: python3.9
09:56:41:Runtime Location: Local
09:56:41:FilePath: objectdetection_coral_adapter.py
09:56:41:Start pause: 1 sec
09:56:41:Parallelism: 16
09:56:41:LogVerbosity:
09:56:41:Platforms: all
09:56:41:GPU Libraries: installed if available
09:56:41:GPU: use if supported
09:56:41:Accelerator:
09:56:41:Half Precision: enable
09:56:41:Environment Variables
09:56:41:CPAI_CORAL_MODEL_NAME = YOLOv8
09:56:41:CPAI_CORAL_MULTI_TPU = False
09:56:41:MODELS_DIR = <root>/modules/ObjectDetectionCoral/assets
09:56:41:MODEL_SIZE = Small
09:56:41:
09:56:41:Started Object Detection (Coral) module
09:56:42:objectdetection_coral_adapter.py: A module that was compiled using NumPy 1.x cannot be run in
09:56:42:objectdetection_coral_adapter.py: NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
09:56:42:objectdetection_coral_adapter.py: versions of NumPy, modules must be compiled with NumPy 2.0.
09:56:42:objectdetection_coral_adapter.py: Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
09:56:42:objectdetection_coral_adapter.py: If you are a user of the module, the easiest solution will be to
09:56:42:objectdetection_coral_adapter.py: downgrade to 'numpy<2' or try to upgrade the affected module.
09:56:42:objectdetection_coral_adapter.py: We expect that some modules will need time to support NumPy 2.
09:56:42:objectdetection_coral_adapter.py: Traceback (most recent call last): File "/usr/lib/python3.9/threading.py", line 937, in _bootstrap
09:56:42:objectdetection_coral_adapter.py: self._bootstrap_inner()
09:56:42:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner
09:56:42:objectdetection_coral_adapter.py: self.run()
09:56:42:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/threading.py", line 917, in run
09:56:42:objectdetection_coral_adapter.py: self._target(*self._args, **self._kwargs)
09:56:42:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/concurrent/futures/thread.py", line 83, in _worker
09:56:42:objectdetection_coral_adapter.py: work_item.run()
09:56:42:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/concurrent/futures/thread.py", line 58, in run
09:56:42:objectdetection_coral_adapter.py: result = self.fn(*self.args, **self.kwargs)
09:56:42:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_adapter.py", line 45, in initialise
09:56:42:objectdetection_coral_adapter.py: self.enable_GPU = self.system_info.hasCoralTPU
09:56:42:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/codeproject_ai_sdk/system_info.py", line 344, in hasCoralTPU
09:56:42:objectdetection_coral_adapter.py: from pycoral.utils.edgetpu import list_edge_tpus
09:56:42:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/pycoral/utils/edgetpu.py", line 24, in
09:56:42:objectdetection_coral_adapter.py: from pycoral.pybind._pywrap_coral import GetRuntimeVersion as get_runtime_version
09:56:42:objectdetection_coral_adapter.py: AttributeError: _ARRAY_API not found
09:56:45:Object Detection (Coral): [SystemError] : Error during main_loop: Traceback (most recent call last):
File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/codeproject_ai_sdk/module_runner.py", line 576, in main_loop
output = await callbacktask
File "/usr/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_adapter.py", line 90, in process
return self._list_models()
File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_adapter.py", line 161, in _list_models
from objectdetection_coral_singletpu import list_models
File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_singletpu.py", line 65, in
from pycoral.utils.edgetpu import make_interpreter
File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/pycoral/utils/edgetpu.py", line 24, in
from pycoral.pybind._pywrap_coral import GetRuntimeVersion as get_runtime_version
SystemError: initialization of _pywrap_coral raised unreported exception
09:56:45:objectdetection_coral_adapter.py: Unable to load OpenCV or numpy modules. Only using PIL.
09:56:39:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_singletpu.py", line 65, in
09:56:39:objectdetection_coral_adapter.py: from pycoral.utils.edgetpu import make_interpreter
09:56:39:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/pycoral/utils/edgetpu.py", line 24, in
09:56:39:objectdetection_coral_adapter.py: from pycoral.pybind._pywrap_coral import GetRuntimeVersion as get_runtime_version
09:56:39:objectdetection_coral_adapter.py: AttributeError: _ARRAY_API not found
09:56:39:objectdetection_coral_adapter.py: TPU detected
09:56:39:objectdetection_coral_adapter.py: An exception occurred initialising the module: initialization of _pywrap_coral raised unreported exception
09:56:39:objectdetection_coral_adapter.py: A module that was compiled using NumPy 1.x cannot be run in
09:56:39:objectdetection_coral_adapter.py: NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
09:56:39:objectdetection_coral_adapter.py: versions of NumPy, modules must be compiled with NumPy 2.0.
09:56:39:objectdetection_coral_adapter.py: Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
09:56:39:objectdetection_coral_adapter.py: If you are a user of the module, the easiest solution will be to
09:56:39:objectdetection_coral_adapter.py: downgrade to 'numpy<2' or try to upgrade the affected module.
09:56:39:objectdetection_coral_adapter.py: We expect that some modules will need time to support NumPy 2.
09:56:39:objectdetection_coral_adapter.py: Traceback (most recent call last): File "/usr/lib/python3.9/threading.py", line 937, in _bootstrap
09:56:39:objectdetection_coral_adapter.py: self._bootstrap_inner()
09:56:39:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner
09:56:39:objectdetection_coral_adapter.py: self.run()
09:56:39:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/threading.py", line 917, in run
09:56:39:objectdetection_coral_adapter.py: self._target(*self._args, **self._kwargs)
09:56:39:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/concurrent/futures/thread.py", line 83, in _worker
09:56:39:objectdetection_coral_adapter.py: work_item.run()
09:56:39:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/concurrent/futures/thread.py", line 58, in run
09:56:39:objectdetection_coral_adapter.py: result = self.fn(*self.args, **self.kwargs)
09:56:39:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_adapter.py", line 90, in process
09:56:39:objectdetection_coral_adapter.py: return self._list_models()
09:56:39:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_adapter.py", line 161, in _list_models
09:56:39:objectdetection_coral_adapter.py: from objectdetection_coral_singletpu import list_models
09:56:39:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_singletpu.py", line 65, in
09:56:39:objectdetection_coral_adapter.py: from pycoral.utils.edgetpu import make_interpreter
09:56:39:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/pycoral/utils/edgetpu.py", line 24, in
09:56:39:objectdetection_coral_adapter.py: from pycoral.pybind._pywrap_coral import GetRuntimeVersion as get_runtime_version
09:56:39:objectdetection_coral_adapter.py: AttributeError: _ARRAY_API not found
09:56:39:Object Detection (Coral): [SystemError] : Error during main_loop: Traceback (most recent call last):
File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/codeproject_ai_sdk/module_runner.py", line 576, in main_loop
output = await callbacktask
File "/usr/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_adapter.py", line 90, in process
return self._list_models()
File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_adapter.py", line 161, in _list_models
from objectdetection_coral_singletpu import list_models
File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_singletpu.py", line 65, in
from pycoral.utils.edgetpu import make_interpreter
File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/pycoral/utils/edgetpu.py", line 24, in
from pycoral.pybind._pywrap_coral import GetRuntimeVersion as get_runtime_version
SystemError: initialization of _pywrap_coral raised unreported exception
09:56:41:ObjectDetectionCoral went quietly
13:15:25:
13:15:25:Started Object Detection (Coral) module
13:15:27:objectdetection_coral_adapter.py: A module that was compiled using NumPy 1.x cannot be run in
13:15:27:objectdetection_coral_adapter.py: NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
13:15:27:objectdetection_coral_adapter.py: versions of NumPy, modules must be compiled with NumPy 2.0.
13:15:27:objectdetection_coral_adapter.py: Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
13:15:27:objectdetection_coral_adapter.py: If you are a user of the module, the easiest solution will be to
13:15:27:objectdetection_coral_adapter.py: downgrade to 'numpy<2' or try to upgrade the affected module.
13:15:27:objectdetection_coral_adapter.py: We expect that some modules will need time to support NumPy 2.
13:15:27:objectdetection_coral_adapter.py: Traceback (most recent call last): File "/usr/lib/python3.9/threading.py", line 937, in _bootstrap
13:15:27:objectdetection_coral_adapter.py: self._bootstrap_inner()
13:15:27:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner
13:15:27:objectdetection_coral_adapter.py: self.run()
13:15:27:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/threading.py", line 917, in run
13:15:27:objectdetection_coral_adapter.py: self._target(*self._args, **self._kwargs)
13:15:27:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/concurrent/futures/thread.py", line 83, in _worker
13:15:27:objectdetection_coral_adapter.py: work_item.run()
13:15:27:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/concurrent/futures/thread.py", line 58, in run
13:15:27:objectdetection_coral_adapter.py: result = self.fn(*self.args, **self.kwargs)
13:15:27:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_adapter.py", line 45, in initialise
13:15:27:objectdetection_coral_adapter.py: self.enable_GPU = self.system_info.hasCoralTPU
13:15:27:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/codeproject_ai_sdk/system_info.py", line 344, in hasCoralTPU
13:15:27:objectdetection_coral_adapter.py: from pycoral.utils.edgetpu import list_edge_tpus
13:15:27:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/pycoral/utils/edgetpu.py", line 24, in
13:15:27:objectdetection_coral_adapter.py: from pycoral.pybind._pywrap_coral import GetRuntimeVersion as get_runtime_version
13:15:27:objectdetection_coral_adapter.py: AttributeError: _ARRAY_API not found
13:15:30:objectdetection_coral_adapter.py: A module that was compiled using NumPy 1.x cannot be run in
13:15:30:objectdetection_coral_adapter.py: NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
13:15:30:objectdetection_coral_adapter.py: Unable to load OpenCV or numpy modules. Only using PIL.
13:15:30:objectdetection_coral_adapter.py: TPU detected
13:15:30:objectdetection_coral_adapter.py: An exception occurred initialising the module: initialization of _pywrap_coral raised unreported exception
13:15:30:objectdetection_coral_adapter.py: versions of NumPy, modules must be compiled with NumPy 2.0.
13:15:30:objectdetection_coral_adapter.py: Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
13:15:30:objectdetection_coral_adapter.py: If you are a user of the module, the easiest solution will be to
13:15:30:objectdetection_coral_adapter.py: downgrade to 'numpy<2' or try to upgrade the affected module.
13:15:30:objectdetection_coral_adapter.py: We expect that some modules will need time to support NumPy 2.
13:15:30:objectdetection_coral_adapter.py: Traceback (most recent call last): File "/usr/lib/python3.9/threading.py", line 937, in _bootstrap
13:15:30:objectdetection_coral_adapter.py: self._bootstrap_inner()
13:15:30:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/threading.py", line 980, in _bootstrap_inner
13:15:30:objectdetection_coral_adapter.py: self.run()
13:15:30:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/threading.py", line 917, in run
13:15:30:objectdetection_coral_adapter.py: self._target(*self._args, **self._kwargs)
13:15:30:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/concurrent/futures/thread.py", line 83, in _worker
13:15:30:objectdetection_coral_adapter.py: work_item.run()
13:15:30:objectdetection_coral_adapter.py: File "/usr/lib/python3.9/concurrent/futures/thread.py", line 58, in run
13:15:30:objectdetection_coral_adapter.py: result = self.fn(*self.args, **self.kwargs)
13:15:30:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_adapter.py", line 66, in initialise
13:15:30:objectdetection_coral_adapter.py: import objectdetection_coral_singletpu as odcs
13:15:30:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/objectdetection_coral_singletpu.py", line 65, in
13:15:30:objectdetection_coral_adapter.py: from pycoral.utils.edgetpu import make_interpreter
13:15:30:objectdetection_coral_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.5/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/pycoral/utils/edgetpu.py", line 24, in
13:15:30:objectdetection_coral_adapter.py: from pycoral.pybind._pywrap_coral import GetRuntimeVersion as get_runtime_version
13:15:30:objectdetection_coral_adapter.py: AttributeError: _ARRAY_API not found
modified 26-Jun-24 8:17am.
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We've updated to Coral module to 2.3.3, and I've tested it again. Could you please uninstall, and reinstall the module again, once more with feeling?
Thanks,
Sean Ewington
CodeProject
modified 27-Jun-24 13:52pm.
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Thanks for the update, I have yet to see any errors from Coral 2.3.3 on CPAI 2.6.5...
Im now running one instance of this and another with Coral 2.2.2 on CPAI 2.6.2, both have run ~120k inferences with only a handful (15-20) failed inferences 
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