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System with RTX A2000 12GB and cannot get ALPR 3.03 to run. CPU nor Cuda. Crashes after ~2 min on CPU.
And I don't see any debug logs about why.
Initially tried Cuda 12.2 + Cudnn 9. Face + yolo worked cuda but ALPR crash.
Now on Cuda 11.8 + Cudnn v8.9.4.96 (From Codeproject cudnn script) + old driver 522.06 (provided by cuda 11.8 installer)
Uninstalled CP, manually deleted all modules. CP reinstall, download/install ALPR without download cache many times now. Same result. No cuda and then crashes on cpu "failed to start"
---
Discussing this issue over on IPCAM forum it was suggested I inquire here.
Blue Iris and CodeProject.AI ALPR | Page 46 | IP Cam Talk[^]
CP log doesn't log anything regarding crash. However Windows event log has 2 events.
Any ideas? Thank you.
Edit:
Another user is experiencing same issue specifically with the old i7 920 CPU. So there is a pattern of this paddle / common.dll crash.
Is there any know CPU instruction set requirements for ALPR / Paddle?
App Error - 1005
Program: Python
File:
The error value is listed in the Additional Data section.
User Action
1. Open the file again. This situation might be a temporary problem that corrects itself when the program runs again.
2. If the file still cannot be accessed and
- It is on the network, your network administrator should verify that there is not a problem with the network and that the server can be contacted.
- It is on a removable disk, for example, a floppy disk or CD-ROM, verify that the disk is fully inserted into the computer.
3. Check and repair the file system by running CHKDSK. To run CHKDSK, click Start, click Run, type CMD, and then click OK. At the command prompt, type CHKDSK /F, and then press ENTER.
4. If the problem persists, restore the file from a backup copy.
5. Determine whether other files on the same disk can be opened. If not, the disk might be damaged. If it is a hard disk, contact your administrator or computer hardware vendor for further assistance.
Additional Data
Error value: 00000000
Disk type: 0
------
App Error - 1000
Faulting application name: python.exe, version: 3.9.6150.1013, time stamp: 0x60d9eb23
Faulting module name: common.dll, version: 0.0.0.0, time stamp: 0x6585a281
Exception code: 0xc000001d
Fault offset: 0x000000000000645a
Faulting process id: 0x1e34
Faulting application start time: 0x01da82476b8f6aaf
Faulting application path: C:\Program Files\CodeProject\AI\runtimes\bin\windows\python39\python.exe
Faulting module path: C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddle\libs\common.dll
Report Id: 1496e1bc-5b22-485c-82a4-bee2d47e2a3f
Faulting package full name:
Faulting package-relative application ID:
modified 3-Apr-24 13:41pm.
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I am hopeful that someone has a solution for this problem as I am experiencing the same thing.
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Have you tried running ALPR with GPU support disabled via the dashboard?
cheers
Chris Maunder
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In my instance, I have with the same results. As the other poster here and I have been collaborating on another forum, I believe he has tried this as well.
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Python packages specified by requirements.txt
- Installing Pillow, a Python Image Library...Already installed
- Installing Charset normalizer...Already installed
- Installing aiohttp, the Async IO HTTP library...Already installed
- Installing aiofiles, the Async IO Files library...Already installed
- Installing py-cpuinfo to allow us to query CPU info...Already installed
- Installing Requests, the HTTP library...Already installed
Executing post-install script for License Plate Reader
Applying PaddleOCR patch
1 file(s) copied.
Self test: Error: Can not import paddle core while this file exists: C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddle\base\libpaddle.pyd
Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddle\base\core.py", line 268, in <module>
from . import libpaddle
ImportError: DLL load failed while importing libpaddle: A dynamic link library (DLL) initialization routine failed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 16, in <module>
from ALPR import init_detect_platenumber, detect_platenumber
File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR.py", line 19, in <module>
from paddleocr import PaddleOCR
File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddleocr\__init__.py", line 14, in <module>
from .paddleocr import *
File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddleocr\paddleocr.py", line 21, in <module>
import paddle
File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddle\__init__.py", line 28, in <module>
from .base import core # noqa: F401
File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddle\base\__init__.py", line 36, in <module>
from . import core
File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddle\base\core.py", line 375, in <module>
if not avx_supported() and libpaddle.is_compiled_with_avx():
NameError: name 'libpaddle' is not defined
Self-test passed
Module setup time 00:01:07.85
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Thanks very much for all this detailed information and testing. Unfortunately, other than abandoning paddlepaddle, there's not much we can do. In a future release, we've added a warning for 920 chips in the OCR and ALPR modules.
Thanks,
Sean Ewington
CodeProject
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Other then blue iris and Agent DVR, can you use this software ware with any other CCTV.
I simply want a APP, where I can point my CCTV to and it checks the motions and then sends a notification
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There's Home Assistant. If you're interested in that option, I have a guide on how to set it up.
As for just an app that detects motion, I would look into cameras that offer motion sensors that also have apps, then research to make sure that app has the capability to send notifications to the app based on motion. Lots of cameras either have apps, or subscriptions for apps that will do what you're asking. And from what I've read, they're pretty reliable.
For example, I believe the Wyze Cam has motion detection (on one of its firmware builds), and can simply detect motion. Whether or not it can notify the app, I am not certain.
Thanks,
Sean Ewington
CodeProject
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Thanks for the reply. So I have been installing cctv for years but there is no AI that works well on NVR/DVRS.
So would like to make an integration where a NVR OR DVR can send a snap shot on motion to a server to check it for human or vehicle and then send it to an app on the phone.
I’m happy to connect to see your videos of home assistant?
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Edit: Bloody hell .... It's DNS - it's always DNS. Forgot I had CN IP's blocked. Manually changing to Google's DNS during the install fixed the PEBCAK error. - Derp
Installing ALPR or OCR it seems paddlepaddle simply refuses to install. I get the following during module install:
OCR: - Installing PaddlePaddle, Parallel Distributed Deep Learning...(failed check) Done
Then when starting either modules I get the following:
11:46:40:OCR_adapter.py: Traceback (most recent call last):
11:46:40:OCR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\OCR\OCR_adapter.py", line 17, in
11:46:40:OCR_adapter.py: from OCR import init_detect_ocr, read_text
11:46:40:OCR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\OCR\OCR.py", line 12, in
11:46:40:OCR_adapter.py: from paddleocr import PaddleOCR
11:46:40:OCR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\OCR\bin\windows\python39\venv\lib\site-packages\paddleocr\__init__.py", line 14, in
11:46:40:OCR_adapter.py: from .paddleocr import *
11:46:40:OCR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\OCR\bin\windows\python39\venv\lib\site-packages\paddleocr\paddleocr.py", line 21, in
11:46:40:OCR_adapter.py: import paddle
11:46:40:OCR_adapter.py: ModuleNotFoundError: No module named 'paddle'
Not sure what the issue is. Doubtful it's my firewall (pfSense w/pfBlocker) as I've given the machine in question full internet access during the install.
On CP.AI 2.5.6
modified 3-Apr-24 12:13pm.
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Can't tell if you actually solve it or not. But did you try to run the setup.bat for ALPR to solve this problem? The setup.bat is located in the "AI" folder. There is instruction in it explaining how to use it.
I think that should help. If not, you could try to run the venv and manually install the requirement (not hard actually).
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Yeah - I solved it. The setup.bat wouldn't have helped as I Forgot I was still blocking China IP's. It simply wasn't downloading the paddlepaddle package... it couldn't. Once I temporarily allowed CN IP's install succeeded.
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Hi I have installed codeProject.ai server for linux and run. It is running in my device as expected. But When I try install module which is YOLO v5.3.1 , It throws the below error :
Trace Starting Background AI Modules
Trace Running module using: /usr/bin/codeproject.ai-server-2.5.4/modules/ObjectDetectionYOLOv5-3.1/bin/linux/python38/venv/bin/python3
Debug
Debug Attempting to start ObjectDetectionYOLOv5-3.1 with /usr/bin/codeproject.ai-server-2.5.4/modules/ObjectDetectionYOLOv5-3.1/bin/linux/python38/venv/bin/python3 "/usr/bin/codeproject.ai-server-2.5.4/modules/ObjectDetectionYOLOv5-3.1/detect_adapter.py"
Trace Starting /usr...Ov5-3.1/bin/linux/python38/venv/bin/python3 "/usr...jectDetectionYOLOv5-3.1/detect_adapter.py"
Infor
Infor ** Module 'Object Detection (YOLOv5 3.1)' 1.9.1 (ID: ObjectDetectionYOLOv5-3.1)
Infor ** Valid: True
Infor ** Module Path: <root>/modules/ObjectDetectionYOLOv5-3.1
Infor ** AutoStart: True
Infor ** Queue: objectdetection_queue
Infor ** Runtime: python3.8
Infor ** Runtime Loc: Local
Infor ** FilePath: detect_adapter.py
Infor ** Pre installed: False
Infor ** Start pause: 1 sec
Infor ** Parallelism: 0
Infor ** LogVerbosity:
Infor ** Platforms: all,!macos-arm64
Infor ** GPU Libraries: installed if available
Infor ** GPU Enabled: enabled
Infor ** Accelerator:
Infor ** Half Precis.: enable
Infor ** Environment Variables
Infor ** APPDIR = <root>/modules/ObjectDetectionYOLOv5-3.1
Infor ** DATA_DIR = /etc/codeproject/ai
Infor ** MODE = MEDIUM
Infor ** MODELS_DIR = <root>/modules/ObjectDetectionYOLOv5-3.1/assets
Infor ** PROFILE = desktop_gpu
Infor ** TEMP_PATH = <root>/modules/ObjectDetectionYOLOv5-3.1/tempstore
Infor ** USE_CUDA = True
Infor ** YOLOv5_VERBOSE = false
Infor
Infor Started Object Detection (YOLOv5 3.1) module
Error detect_adapter.py: Traceback (most recent call last):
Error detect_adapter.py: File "/usr/bin/codeproject.ai-server-2.5.4/modules/ObjectDetectionYOLOv5-3.1/detect_adapter.py", line 14, in <module>
Error detect_adapter.py: from request_data import RequestData
Error detect_adapter.py: File "/usr/bin/codeproject.ai-server-2.5.4/modules/ObjectDetectionYOLOv5-3.1/../../SDK/Python/request_data.py", line 8, in <module>
Error detect_adapter.py: from PIL import Image
Error detect_adapter.py: ModuleNotFoundError: No module named 'PIL'
Infor ** Module ObjectDetectionYOLOv5-3.1 has shutdown
Infor detect_adapter.py: has exited
Opening in existing browser session.
Debug Current Version is 2.5.4
Infor *** A new version 2.5.6 is available
How should i overcome this issue ?
What I have tried:
I have reinstalled the codeProject.ai and tried to install module again ( YOLO v8 )It got installed again as below:
Debug
Debug Attempting to start ObjectDetectionYOLOv8 with /usr/bin/codeproject.ai-server-2.5.4/runtimes/bin/linux/python38/venv/bin/python3 "/usr/bin/codeproject.ai-server-2.5.4/modules/ObjectDetectionYOLOv8/detect_adapter.py"
Trace Starting /usr...untimes/bin/linux/python38/venv/bin/python3 "/usr...s/ObjectDetectionYOLOv8/detect_adapter.py"
Infor
Infor ** Module 'Object Detection (YOLOv8)' 1.3.1 (ID: ObjectDetectionYOLOv8)
Infor ** Valid: True
Infor ** Module Path: <root>/modules/ObjectDetectionYOLOv8
Infor ** AutoStart: True
Infor ** Queue: objectdetection_queue
Infor ** Runtime: python3.8
Infor ** Runtime Loc: Shared
Infor ** FilePath: detect_adapter.py
Infor ** Pre installed: False
Infor ** Start pause: 1 sec
Infor ** Parallelism: 0
Infor ** LogVerbosity:
Infor ** Platforms: all
Infor ** GPU Libraries: installed if available
Infor ** GPU Enabled: enabled
Infor ** Accelerator:
Infor ** Half Precis.: enable
Infor ** Environment Variables
Infor ** APPDIR = <root>/modules/ObjectDetectionYOLOv8
Infor ** CPAI_HALF_PRECISION = force
Infor ** CUSTOM_MODELS_DIR = <root>/modules/ObjectDetectionYOLOv8/custom-models
Infor ** MODELS_DIR = <root>/modules/ObjectDetectionYOLOv8/assets
Infor ** MODEL_SIZE = Medium
Infor ** USE_CUDA = True
Infor ** YOLOv5_AUTOINSTALL = false
Infor ** YOLOv5_VERBOSE = false
Infor
Infor Started Object Detection (YOLOv8) module
Error detect_adapter.py: Traceback (most recent call last):
Error detect_adapter.py: File "/usr/bin/codeproject.ai-server-2.5.4/modules/ObjectDetectionYOLOv8/detect_adapter.py", line 12, in <module>
Error detect_adapter.py: from request_data import RequestData
Error detect_adapter.py: File "/usr/bin/codeproject.ai-server-2.5.4/modules/ObjectDetectionYOLOv8/../../SDK/Python/request_data.py", line 8, in <module>
Error detect_adapter.py: from PIL import Image
Error detect_adapter.py: ModuleNotFoundError: No module named 'PIL'
Infor ** Module ObjectDetectionYOLOv8 has shutdown
Infor detect_adapter.py: has exited
Opening in existing browser session.
Debug Current Version is 2.5.4
Infor *** A new version 2.5.6 is available
and sometimes the module automatically stos running.
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Thanks very much for the report. I believe this may be resolved in 2.6.2. Would you be willing to try it out and see if that helps?
Thanks,
Sean Ewington
CodeProject
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I've just installed a fresh Debian 12.
Installation using .deb package works fine, but first install failed to install the modules.
When installing the python dependencies, python seems to fail to check for HTTPS certificates and none of the dependencies get installed.
Debug Current Version is 2.5.4
Infor *** A new version 2.5.6 is available
Infor FaceProcessing: General CodeProject.AI setup
Infor FaceProcessing: Setting permissions on downloads folder...Done
Infor FaceProcessing: Setting permissions on runtimes folder...Done
Infor FaceProcessing: Setting permissions on persisted data folder...Done
Infor FaceProcessing: GPU support
Infor FaceProcessing: CUDA (NVIDIA) Present: No
Infor FaceProcessing: ROCm (AMD) Present: No
Infor FaceProcessing: MPS (Apple) Present: No
Infor FaceProcessing: Reading module settingsGet:5 https:
Infor FaceProcessing: .Fetched 11.1 kB in 1s (16.5 kB/s)
Infor FaceProcessing: Reading package lists.........Done
Infor FaceProcessing: Processing module FaceProcessing 1.10.1
Infor FaceProcessing: Installing Python 3.8
Infor FaceProcessing: Python 3.8 is already installed
Infor FaceProcessing: Ensuring PIP in base python install...
Infor FaceProcessing: Building dependency tree...
Infor FaceProcessing: Reading state information...
Infor FaceProcessing: All packages are up to date.
Infor FaceProcessing: done
Infor FaceProcessing: Upgrading PIP in base python install... done
Infor FaceProcessing: Installing Virtual Environment tools for Linux...
Infor FaceProcessing: Searching for python3-pip python3-setuptools python3.8...installing... Done
Infor FaceProcessing: Creating Virtual Environment (Shared)... Done
Infor FaceProcessing: Checking for Python 3.8...(Found Python 3.8.18) All good
Infor FaceProcessing: Upgrading PIP in virtual environment... done
Infor FaceProcessing: Installing updated setuptools in venv... Done
Infor FaceProcessing: Downloading Face models...Expanding... Done.
Infor FaceProcessing: Moving contents of models-face-pt.zip to assets...done.
Infor FaceProcessing: Installing Python packages for Face Processing
Infor FaceProcessing: Installing GPU-enabled libraries: If available
Infor FaceProcessing: Searching for python3-pip...All good.
Infor FaceProcessing: Ensuring PIP compatibility... Done
Infor FaceProcessing: Python packages will be specified by requirements.linux.txt
Infor FaceProcessing: - Installing Pandas, a data analysis / data manipulation tool... (failed check) Done
Infor FaceProcessing: - Installing CoreMLTools, for working with .mlmodel format models... (failed check) Done
Infor FaceProcessing: - Installing OpenCV, the Open source Computer Vision library... (failed check) Done
Infor FaceProcessing: - Installing Pillow, a Python Image Library... (failed check) Done
Infor FaceProcessing: - Installing SciPy, a library for mathematics, science, and engineering... (failed check) Done
Infor FaceProcessing: - Installing PyYAML, a library for reading configuration files... (failed check) Done
Infor FaceProcessing: - Installing Torch, for Tensor computation and Deep neural networks... (failed check) Done
Infor FaceProcessing: - Installing TorchVision, for Computer Vision based AI... (failed check) Done
Infor FaceProcessing: - Installing Seaborn, a data visualization library based on matplotlib... (failed check) Done
Infor FaceProcessing: Installing Python packages for the CodeProject.AI Server SDK
Infor FaceProcessing: Searching for python3-pip...All good.
Infor FaceProcessing: Ensuring PIP compatibility... Done
Infor FaceProcessing: Python packages will be specified by requirements.txt
Infor FaceProcessing: - Installing Pillow, a Python Image Library... (failed check) Done
Infor FaceProcessing: - Installing Charset normalizer... (failed check) Done
Infor FaceProcessing: - Installing aiohttp, the Async IO HTTP library... (failed check) Done
Infor FaceProcessing: - Installing aiofiles, the Async IO Files library... (failed check) Done
Infor FaceProcessing: - Installing py-cpuinfo to allow us to query CPU info... (failed check) Done
Infor FaceProcessing: - Installing Requests, the HTTP library... (failed check) Done
Error FaceProcessing: Traceback (most recent call last):
Error FaceProcessing: File "intelligencelayer/face.py", line 21, in <module>
Error FaceProcessing: from request_data import RequestData
Error FaceProcessing: File "/usr/bin/codeproject.ai-server-2.5.4/modules/FaceProcessing/../../SDK/Python/request_data.py", line 8, in <module>
Error FaceProcessing: from PIL import Image
Error FaceProcessing: ModuleNotFoundError: No module named 'PIL'
Infor FaceProcessing: Self test: Self-test failed
Trying a manual install within the venv, the following error is thrown:
root@NVR:/usr/bin/codeproject.ai-server-2.5.4/runtimes/bin/linux/python38/venv/bin# source activate
(venv) root@NVR:/usr/bin/codeproject.ai-server-2.5.4/runtimes/bin/linux/python38/venv/bin# python -m pip install pandas
WARNING: pip is configured with locations that require TLS/SSL, however the ssl module in Python is not available.
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError("Can't connect to HTTPS URL because the SSL module is not available.")': /simple/pandas/
WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError("Can't connect to HTTPS URL because the SSL module is not available.")': /simple/pandas/
WARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError("Can't connect to HTTPS URL because the SSL module is not available.")': /simple/pandas/
WARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError("Can't connect to HTTPS URL because the SSL module is not available.")': /simple/pandas/
WARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError("Can't connect to HTTPS URL because the SSL module is not available.")': /simple/pandas/
Could not fetch URL https://pypi.org/simple/pandas/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='pypi.org', port=443): Max retries exceeded with url: /simple/pandas/ (Caused by SSLError("Can't connect to HTTPS URL because the SSL module is not available.")) - skipping
ERROR: Could not find a version that satisfies the requirement pandas (from versions: none)
ERROR: No matching distribution found for pandas
WARNING: pip is configured with locations that require TLS/SSL, however the ssl module in Python is not available.
Could not fetch URL https://pypi.org/simple/pip/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='pypi.org', port=443): Max retries exceeded with url: /simple/pip/ (Caused by SSLError("Can't connect to HTTPS URL because the SSL module is not available.")) - skipping
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I've been working on this for a couple of days now. I had the exact same issue fixed on the Jetson / RPi (forget which) and on Debian in WSL it worked nicely. Debian native? Not so nice, and I'm still trying to sort out what the issue could be.
cheers
Chris Maunder
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Looks like it was a SSL issue with the build of Python. I think I have that sorted, and once that was fixed everything else just worked. Insider test out tomorrow.
cheers
Chris Maunder
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I've not had a chance to look at this until now. I tried uninstalling the old server (2.5.x?) and installing 2.6.2, but it doesn't work. I can't get anything from localhost:32168. I can't find any logs, but here's the output from the installer.
I would really appreciate any support you can give.
kit@iron-domino:/$ pushd "/usr/bin/codeproject.ai-server-2.6.2/" && bash setup.sh && popd
/usr/bin/codeproject.ai-server-2.6.2 /
Setting up CodeProject.AI Development Environment
======================================================================
CodeProject.AI Installer
======================================================================
2.05 GiB of 27.07 GiB available on linux
Installing xz-utils...
WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
General CodeProject.AI setup
Setting permissions on downloads folder...done
Setting permissions on modules download folder...done
Creating models download folder...Needs admin permission to create folder
Setting permissions on runtimes folder...done
Setting permissions on persisted data folder...done
GPU support
CUDA (NVIDIA) Present: Yes (CUDA 11.8, No cuDNN found)
ROCm (AMD) Present: No
MPS (Apple) Present: No
Processing CodeProject.AI SDK
Searching for apt-utils...All good.
Searching for ca-certificates gnupg libc6-dev libfontc...All good.
Searching for ffmpeg libsm6 libxext6 mesa-utils curl r...All good.
Checking for .NET 7.0...All good. .NET is 7.0.15
Confirming .NET aspnetcore install present. Version is 7.0.15
Processing CodeProject.AI Server
Reading module settings.......done
Processing module *
This module cannot be installed on this system
Module setup Complete
Setup complete
Total setup time 00:00:05
/
kit@iron-domino:/$
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I've posted an updated 2.6.4 installer that should help.
cheers
Chris Maunder
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How do you install Mike Lud's custom TPU models Link? I have not found anything documented.
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At one-point custom models for Coral weren't an option, but like you said, I see the yolo v8 tensorlow .tflite custom model but not able to see that populate in BlueIris when putting it in the models directory.
I'd like to know a bit more about the coral module and any information about custom models, too.
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Unfortunately, custom models for Coral are not currently supported.
Thanks,
Sean Ewington
CodeProject
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Hello, fellow CPAI enthusiasts,
I'm reaching out to the community due to an unexpected and rather puzzling issue I've encountered with my object detection in Blue Iris. Recently, I've noticed a significant increase in the frequency of false positives, where the CPAI model is identifying inanimate objects as persons with high confidence levels. This anomaly is perplexing, especially since one of the primary reasons I chose CPAI integration with Blue Iris was for its reputed precision in eliminating such false flags, which has been working rather well until I made a change.
Here are a few examples of the false positives I've encountered:
This one here is the strangest of them all!
My question is, has there been any recent change in the CPAI models or their underlying algorithms that might explain this shift? I'm particularly interested in understanding if adjustments have been made to the detection sensitivity or if there's been an update that could have inadvertently affected the model's accuracy.
I've noticed these false alerts when I recently made a change to the model I am using. I switched from using ipcam-combined to using ipcam-general. One would presume that the switch to ipcam-general would be more robust as it's specifically geared for persons only. Since this change I've received these odd false flags which I didn't notice before.
I'm keen to hear from anyone who might have experienced similar issues or from those with insights into potential causes and solutions. Any advice on mitigating these false positives would be greatly appreciated. It's crucial for my CCTV to maintain high accuracy in person detection, whilst avoiding as many false alerts as possible.
Thank you in advance for your time and assistance.
Warm regards,
Zz0K2
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Different models are going to have slightly different behavior. AI isn't working like the human brain, it doesn't look at the image and go, "Oh, hey, there's a human!" Rather, it's looking for things that its model tells it "might" be a human, along with a confidence score of that match.
In your screenshots, I noticed you're seeing some low values. Like in the 50% range. It's usually a good practice to set the confidence levels for an alert (in Blue Iris) to a minimum of 70%. Even 80% is a valid value. You can set this globally or per object (e.g. person:80) and this will greatly reduce your false alerts.
I use a global confidence value of 70% and then in places where I have common false alerts (e.g. my BBQ is not a human!) then I set it up to 80% for that object.
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