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Which object detection module are you using?
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I'm using "Object Detection (Coral)"
Nils
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Thanks for letting us know. This will be corrected in the next release of this module (very soon)
cheers
Chris Maunder
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it works again with the latest version (2.2.2) - thank you!
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Hi, I recently started using the Face Processing function with AgentDVR and I'm curious if there's a way to train the face processing AI with many similar faces to increase accuracy. Could you also tell me where the data is saved after I register a face? I'm planning to build a database/face recognition system using CodeProject AI and Agent DVR, but I need a better understanding of how it works.
Previously, I built a database for License Plate Recognition (LPR) with AgentDVR. In this setup, ALPR identifies the plate and plate number, then sends the detected plate data back to AgentDVR. The process is straightforward: once AgentDVR receives the plate data from CPAI, it extracts the data along with additional information in a specific format and passes it to a Python script (via a .bat file). This script processes the data and inserts it into a database (.db file). In the database, entries like "my own car" or "my friend's car" are tagged, and it runs its own checks (by Flask and JavaScript) so that on the client side, users can access a Flask-based webpage that retrieves data from the database, allowing them to review the results. This setup forms the basic framework of how AgentDVR, CPAI, Python, the database, and Flask work together.
However, I'm trying to build something similar for Face Processing, but it seems to be embedded within CodeProject AI, so it's not the same as the ALPR concept I mentioned above, which presents a bit more of a challenge.
I can create a system for my own use, but if I want to share it with my friend, I need to make it more user-friendly. He might face some challenges as he would need to use CPAI's Explorer to delete faces one by one and then add them individually. Additionally, if he forgets which person's face was registered, he won't be able to see it in the explorer, which can be challenging at times.
I'm new to this area and still exploring possibilities and ways to do this, so some questions might not make sense to those more experienced.
With that said, any ideas or assistance would be appreciated. Thank you in advance. Note: I'm doing this for non-profit purposes.
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From what I understand, face processing is not currently a core competency of CPAI, but I’d love for that to change. Look through the existing module and either improve it or greenfield something better. 
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Yea, I think some love needs to be given for Face Processing. My main goal with BI and CPAI was to have the alerts setup, have it capture the alert for person vehicle and send to our phones, but if it detects my roommate or me, it still alerts, just not send to phones. The work around I have currently is to use the geofence and have it not alert in certain areas based on if someone is home. That is not ideal, but it keeps alerts from gong to the phone in most cases when someone is at home. The downdrop is if there is someone else in those zones, say the back porch, it will not alert us by phone. I have tried everything configuration possible on the faces from 5 pictures of each to 100 pictures of each of us and CPAI is just very very spotty at best. There can be a different pic of each of us and 1 time cpai will detect the pic as me, but the next time it will detect it as my roommate. I really hope some love is giving to this module instead of adding all these other models that have nothing to do with detection.
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The ALPR module uses plate detection to find a plate then OCR to extract the digits and text which it then sends back. The Face module uses a face detector (just a YOLOv5 model) and then extracts embeddings which it then stores in a database.
I think what you're after is for the module to return the embeddings, which you can then do with as you please (including building a database you can share).
That's an easy fix if that's what you're after.
cheers
Chris Maunder
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Thank you, Chris. I did a bit of homework on this. That sounds good, to return the embeddings. I see a few possibilities here:
1. Make CPAI's Face Processing registered face database available so it can be managed by the user. I don't know if that is possible or not. But with that, I will be able to simply use the result of the Face Processing for my database.
Also, I have a question if I can train the face processing with multiple faces of the same person? My thought would be the same name but several different embeddings in the database.
Or,
2. The face processing returns the embeddings to the AgentDVR, and then AgentDVR sends it to a Python script so whatever the user wants can be done. However, I don't know if AgentDVR is able to accept the embedding or not. I know with ALPR, the plate number result falls under "{AI}". Here are the strings that AgentDVR supports on export: "{ID}, {OT}, {FILENAME}, {CURRENT_RECORDING}, {MSG}, {NAME}, {GROUPS}, {LOCATION}, {AI} (AI-detected objects), {AIJSON}, {BASE64IMAGE}, {ZONE}", and I don't know which one embedding will fall under.
Overall, I feel option 1 might be easier for me (because I will have less work). Option 2 seems to be more complicated.
Which one can you do or prefer?
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Either works for me, Embeddings are vectors so not sure if it would fit in any of the recognised data types.
You set the DATA_DIR environment variable to tell the module where to store the database. This can be set in the modulesettings.json file:
"EnvironmentVariables": {
...
"DATA_DIR": "C:\MyFaceDatabase",
...
},
cheers
Chris Maunder
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Thank you Chris. That is very valuable information! I tried it, and it definitely makes it easier for the user to manage the registered face database. With that, I can now focus on working with the other end (AgentDVR) to determine how the information will be processed after it passes through AgentDVR.
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I deleted the original post because I thought I fixed it. Turns out that the docker version does the same thing.
I don't know why it was working for weeks, I'm lucky I have Windows, Linux, and CPAI and Deepstack on both. Just a matter of changing the IP address and port in Blue Iris and AI Tool and I'm good again.
Thanks for the tip. I'm getting pretty tired, so I will try to find that setting tomorrow morning. It's been a long day. Thanks again.
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Probably because I had the settings in a folder that was over written.
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I recently picked up a Rockpi 5b and wanted to experiment with Object Detection (YOLOv5 RKNN). I've tried on two different versions of Ubuntu server and can not get it to run. I went down a rabbit hole and updated the module to py 3.10 from 3.9 to get Python dependencies to install successfully but still can not get a successful self-test or image analysis. I gave up on that, removed, reformatted and started over and the current output is below; python 3.9 missing Pillow.
15:28:57:objectdetection_fd_rknn_adapter.py: Traceback (most recent call last):
15:28:57:objectdetection_fd_rknn_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYoloRKNN/objectdetection_fd_rknn_adapter.py", line 9, in
15:28:57:objectdetection_fd_rknn_adapter.py: from request_data import RequestData
15:28:57:objectdetection_fd_rknn_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYoloRKNN/../../SDK/Python/request_data.py", line 8, in
15:28:57:objectdetection_fd_rknn_adapter.py: from PIL import Image
15:28:57:objectdetection_fd_rknn_adapter.py: ModuleNotFoundError: No module named 'PIL'
15:28:57:Module ObjectDetectionYoloRKNN has shutdown
I'm running it natively (no docker) as I would ideally like to use custom models. Object Detection (YOLOv5 .NET) works just fine although speeds are in the ~500ms range.
modified 16-Apr-24 12:11pm.
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It looks like the module did not get fully install. Try uninstall then reinstall using Do not use download cache
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<pre>20:06:58:System: Orange Pi
20:06:58:Operating System: Linux (Ubuntu 22.04)
20:06:58:CPUs: 1 CPU. (Arm64)
20:06:58:System RAM: 16 GiB
20:06:58:Platform: OrangePi
20:06:58:BuildConfig: Release
20:06:58:Execution Env: Native (SSH)
20:06:58:Runtime Env: Production
20:06:58:Runtimes installed:
20:06:58: .NET runtime: 7.0.17
20:06:58: .NET SDK: 7.0.117
20:06:58: Default Python: 3.10.12
20:06:58: Go: Not found
20:06:58: NodeJS: Not found
20:06:58: Rust: Not found
20:06:58:App DataDir: /etc/codeproject/ai
20:06:58:Video adapter info:
20:06:58:STARTING CODEPROJECT.AI SERVER
20:06:58:RUNTIMES_PATH = /usr/bin/codeproject.ai-server-2.6.2/runtimes
20:06:58:PREINSTALLED_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.2/preinstalled-modules
20:06:58:DEMO_MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.2/demos/modules
20:06:58:MODULES_PATH = /usr/bin/codeproject.ai-server-2.6.2/modules
20:06:58:PYTHON_PATH = /bin/linux/%PYTHON_NAME%/venv/bin/python3
20:06:58:Data Dir = /etc/codeproject/ai
20:06:58:Server version: 2.6.2
20:07:03:Server: This is the latest version
20:07:34:Preparing to install module 'ObjectDetectionYoloRKNN'
20:07:34:Downloading module 'ObjectDetectionYoloRKNN'
20:07:34:Installing module 'ObjectDetectionYoloRKNN'
20:07:34:ObjectDetectionYoloRKNN: Setting verbosity to quiet
20:07:34:ObjectDetectionYoloRKNN: No schemas installed
20:07:34:ObjectDetectionYoloRKNN: (No schemas means: we can't detect if you're in light or dark mode)
20:07:34:ObjectDetectionYoloRKNN: Installing CodeProject.AI Analysis Module
20:07:34:ObjectDetectionYoloRKNN: ======================================================================
20:07:34:ObjectDetectionYoloRKNN: CodeProject.AI Installer
20:07:34:ObjectDetectionYoloRKNN: ======================================================================
20:07:34:ObjectDetectionYoloRKNN: 224.00 GiB of 231.07 GiB available on Orange Pi
20:07:34:ObjectDetectionYoloRKNN: Installing xz-utils...
20:08:04:Response timeout. Try increasing the timeout value
20:09:14:ObjectDetectionYoloRKNN: WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
20:09:14:ObjectDetectionYoloRKNN: WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
20:09:16:ObjectDetectionYoloRKNN: stty: 'standard input': Inappropriate ioctl for device
20:09:16:ObjectDetectionYoloRKNN: General CodeProject.AI setup
20:09:16:ObjectDetectionYoloRKNN: Setting permissions on downloads folder...done
20:09:16:ObjectDetectionYoloRKNN: Setting permissions on modules download folder...done
20:09:16:ObjectDetectionYoloRKNN: Setting permissions on models download folder...done
20:09:16:ObjectDetectionYoloRKNN: Setting permissions on runtimes folder...done
20:09:16:ObjectDetectionYoloRKNN: Setting permissions on persisted data folder...done
20:09:16:ObjectDetectionYoloRKNN: GPU support
20:09:16:ObjectDetectionYoloRKNN: CUDA (NVIDIA) Present: No
20:09:16:ObjectDetectionYoloRKNN: ROCm (AMD) Present: No
20:09:16:ObjectDetectionYoloRKNN: MPS (Apple) Present: No
20:09:17:ObjectDetectionYoloRKNN: Reading module settings.......done
20:09:17:ObjectDetectionYoloRKNN: Processing module ObjectDetectionYoloRKNN 1.6.1
20:09:17:ObjectDetectionYoloRKNN: Installing Python 3.9
20:09:17:ObjectDetectionYoloRKNN: Python 3.9 is already installed
20:09:22:ObjectDetectionYoloRKNN: Ensuring PIP in base python install... done
20:09:23:ObjectDetectionYoloRKNN: W: https:
20:09:31:ObjectDetectionYoloRKNN: Upgrading PIP in base python install... done
20:09:31:ObjectDetectionYoloRKNN: Installing Virtual Environment tools for Linux...
20:09:39:ObjectDetectionYoloRKNN: Searching for python3-pip python3-setuptools python3.9...installing... done
20:09:39:ObjectDetectionYoloRKNN: stty: 'standard input': Inappropriate ioctl for device
20:09:44:ObjectDetectionYoloRKNN: Creating Virtual Environment (Local)... done
20:09:44:ObjectDetectionYoloRKNN: Checking for Python 3.9...(Found Python 3.9.18) All good
20:09:53:ObjectDetectionYoloRKNN: Upgrading PIP in virtual environment... done
20:10:02:ObjectDetectionYoloRKNN: Installing updated setuptools in venv... done
20:10:02:ObjectDetectionYoloRKNN: checkdir: cannot create extraction directory: assets
20:10:02:ObjectDetectionYoloRKNN: Permission denied
20:10:02:ObjectDetectionYoloRKNN: Downloading Standard YOLOv5 RKNN models... already exists...Expanding... done.
20:10:02:ObjectDetectionYoloRKNN: checkdir: cannot create extraction directory: custom-models
20:10:02:ObjectDetectionYoloRKNN: Permission denied
20:10:03:ObjectDetectionYoloRKNN: Downloading Custom YOLOv5 RKNN models... already exists...Expanding... done.
20:10:03:ObjectDetectionYoloRKNN: Installing Python packages for Object Detection (YOLOv5 RKNN)
20:10:03:ObjectDetectionYoloRKNN: Installing GPU-enabled libraries: If available
20:10:04:ObjectDetectionYoloRKNN: Searching for python3-pip...All good.
20:10:04:ObjectDetectionYoloRKNN: stty: 'standard input': Inappropriate ioctl for device
20:10:07:ObjectDetectionYoloRKNN: Ensuring PIP compatibility... done
20:10:07:ObjectDetectionYoloRKNN: No suitable requirements.txt file found.
20:10:07:ObjectDetectionYoloRKNN: Installing Python packages for the CodeProject.AI Server SDK
20:10:08:ObjectDetectionYoloRKNN: Searching for python3-pip...All good.
20:10:08:ObjectDetectionYoloRKNN: stty: 'standard input': Inappropriate ioctl for device
20:10:11:ObjectDetectionYoloRKNN: Ensuring PIP compatibility... done
20:10:11:ObjectDetectionYoloRKNN: Python packages will be specified by requirements.txt
20:10:21:ObjectDetectionYoloRKNN: - Installing Pillow, a Python Image Library... (❌ failed check) done
20:10:30:ObjectDetectionYoloRKNN: - Installing Charset normalizer... (❌ failed check) done
20:10:40:ObjectDetectionYoloRKNN: - Installing aiohttp, the Async IO HTTP library... (❌ failed check) done
20:10:49:ObjectDetectionYoloRKNN: - Installing aiofiles, the Async IO Files library... (❌ failed check) done
20:10:59:ObjectDetectionYoloRKNN: - Installing py-cpuinfo to allow us to query CPU info... (❌ failed check) done
20:11:08:ObjectDetectionYoloRKNN: - Installing Requests, the HTTP library... (❌ failed check) done
20:11:08:ObjectDetectionYoloRKNN: Scanning modulesettings for downloadable models...No models specified
20:11:08:ObjectDetectionYoloRKNN: Traceback (most recent call last):
20:11:08:ObjectDetectionYoloRKNN: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYoloRKNN/objectdetection_fd_rknn_adapter.py", line 9, in
20:11:08:ObjectDetectionYoloRKNN: from request_data import RequestData
20:11:08:ObjectDetectionYoloRKNN: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYoloRKNN/../../SDK/Python/request_data.py", line 8, in
20:11:08:ObjectDetectionYoloRKNN: from PIL import Image
20:11:08:ObjectDetectionYoloRKNN: ModuleNotFoundError: No module named 'PIL'
20:11:08:ObjectDetectionYoloRKNN: Self test: Self-test failed
20:11:08:ObjectDetectionYoloRKNN: Module setup time 00:01:52
20:11:08:ObjectDetectionYoloRKNN: Setup complete
20:11:08:ObjectDetectionYoloRKNN: Total setup time 00:03:34
20:11:08:Module ObjectDetectionYoloRKNN installed successfully.
20:11:08:Installer exited with code 0
20:11:08:
20:11:08:Module 'Object Detection (YOLOv5 RKNN)' 1.6.1 (ID: ObjectDetectionYoloRKNN)
20:11:08:Valid: True
20:11:08:Module Path: <root>/modules/ObjectDetectionYoloRKNN
20:11:08:AutoStart: True
20:11:08:Queue: objectdetection_queue
20:11:08:Runtime: python3.9
20:11:08:Runtime Loc: Local
20:11:08:FilePath: objectdetection_fd_rknn_adapter.py
20:11:08:Start pause: 1 sec
20:11:08:Parallelism: 1
20:11:08:LogVerbosity:
20:11:08:Platforms: orangepi
20:11:08:GPU Libraries: installed if available
20:11:08:GPU Enabled: enabled
20:11:08:Accelerator:
20:11:08:Half Precis.: enable
20:11:08:Environment Variables
20:11:08:CUSTOM_MODELS_DIR = <root>/modules/ObjectDetectionYoloRKNN/custom-models
20:11:08:MODELS_DIR = <root>/modules/ObjectDetectionYoloRKNN/assets
20:11:08:MODEL_SIZE = Small
20:11:08:
20:11:08:Started Object Detection (YOLOv5 RKNN) module
20:11:08:objectdetection_fd_rknn_adapter.py: Traceback (most recent call last):
20:11:08:objectdetection_fd_rknn_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYoloRKNN/objectdetection_fd_rknn_adapter.py", line 9, in
20:11:08:objectdetection_fd_rknn_adapter.py: from request_data import RequestData
20:11:08:objectdetection_fd_rknn_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYoloRKNN/../../SDK/Python/request_data.py", line 8, in
20:11:08:objectdetection_fd_rknn_adapter.py: from PIL import Image
20:11:08:objectdetection_fd_rknn_adapter.py: ModuleNotFoundError: No module named 'PIL'
20:11:08:objectdetection_fd_rknn_adapter.py: has exited
20:11:08:Module ObjectDetectionYoloRKNN has shutdown
20:11:09:Module ObjectDetectionYoloRKNN started successfully.
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It looks like you're installing the Ubuntu installer (all good) but you are missing some permissions.
When you installed the .deb CodeProject.AI Server package did you install under sudo or your local account? When you start up the server, are you starting up under sudo or local?
cheers
Chris Maunder
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I'm 99% sure I ran everything as sudo but to be sure I uninstalled everything to start over (a process I know all too well at this point  ). To uninstall I ran:
sudo dpkg -r codeproject.ai-server
That left some lingering files so I cleaned them up:
sudo rm -rf /usr/bin/codeproject.ai-server-2.6.2/
Then did a full system reboot just for good measure and started installing:
sudo dpkg -i codeproject.ai-server_2.6.2_arm64.deb
pushd "/usr/bin/codeproject.ai-server-2.6.2/" && bash setup.sh && popd
sudo bash /usr/bin/codeproject.ai-server-2.6.2/start.sh
I then did as you mentioned and installed it while checking "Do not use download cache". Below is the output which is the same as previously 
16:23:59:Preparing to install module 'ObjectDetectionYoloRKNN'
16:23:59:Downloading module 'ObjectDetectionYoloRKNN'
16:23:59:Installing module 'ObjectDetectionYoloRKNN'
16:23:59:ObjectDetectionYoloRKNN: Setting verbosity to quiet
16:23:59:ObjectDetectionYoloRKNN: No schemas installed
16:23:59:ObjectDetectionYoloRKNN: (No schemas means: we can't detect if you're in light or dark mode)
16:23:59:ObjectDetectionYoloRKNN: Installing CodeProject.AI Analysis Module
16:23:59:ObjectDetectionYoloRKNN: ======================================================================
16:23:59:ObjectDetectionYoloRKNN: CodeProject.AI Installer
16:23:59:ObjectDetectionYoloRKNN: ======================================================================
16:23:59:ObjectDetectionYoloRKNN: 224.00 GiB of 231.07 GiB available on Orange Pi
16:23:59:ObjectDetectionYoloRKNN: Installing xz-utils...
16:23:59:ObjectDetectionYoloRKNN: WARNING: WARNING: aptapt does not have a stable CLI interface. does not have a stable CLI interface. Use with caution in scripts.Use with caution in scripts.
16:24:01:ObjectDetectionYoloRKNN: stty: 'standard input': Inappropriate ioctl for device
16:24:01:ObjectDetectionYoloRKNN: General CodeProject.AI setup
16:24:01:ObjectDetectionYoloRKNN: Setting permissions on downloads folder...done
16:24:01:ObjectDetectionYoloRKNN: Setting permissions on modules download folder...done
16:24:01:ObjectDetectionYoloRKNN: Setting permissions on models download folder...done
16:24:01:ObjectDetectionYoloRKNN: Setting permissions on runtimes folder...done
16:24:01:ObjectDetectionYoloRKNN: Setting permissions on persisted data folder...done
16:24:01:ObjectDetectionYoloRKNN: GPU support
16:24:01:ObjectDetectionYoloRKNN: CUDA (NVIDIA) Present: No
16:24:01:ObjectDetectionYoloRKNN: ROCm (AMD) Present: No
16:24:01:ObjectDetectionYoloRKNN: MPS (Apple) Present: No
16:24:02:ObjectDetectionYoloRKNN: Reading module settings.......done
16:24:02:ObjectDetectionYoloRKNN: Processing module ObjectDetectionYoloRKNN 1.6.1
16:24:02:ObjectDetectionYoloRKNN: Installing Python 3.9
16:24:02:ObjectDetectionYoloRKNN: Python 3.9 is already installed
16:24:05:ObjectDetectionYoloRKNN: W: https://mirrors.aliyun.com/docker-ce/linux/ubuntu/dists/jammy/InRelease: Key is stored in legacy trusted.gpg keyring (/etc/apt/trusted.gpg), see the DEPRECATION section in apt-key(8) for details.
16:24:07:ObjectDetectionYoloRKNN: Ensuring PIP in base python install... done
16:24:15:ObjectDetectionYoloRKNN: Upgrading PIP in base python install... done
16:24:15:ObjectDetectionYoloRKNN: Installing Virtual Environment tools for Linux...
16:24:24:ObjectDetectionYoloRKNN: Searching for python3-pip python3-setuptools python3.9...installing... done
16:24:24:ObjectDetectionYoloRKNN: stty: 'standard input': Inappropriate ioctl for device
16:24:27:Response timeout. Try increasing the timeout value
16:24:29:ObjectDetectionYoloRKNN: Creating Virtual Environment (Local)... done
16:24:29:ObjectDetectionYoloRKNN: Checking for Python 3.9...(Found Python 3.9.18) All good
16:24:38:ObjectDetectionYoloRKNN: Upgrading PIP in virtual environment... done
16:24:46:ObjectDetectionYoloRKNN: Installing updated setuptools in venv... done
16:24:50:ObjectDetectionYoloRKNN: Downloading Standard YOLOv5 RKNN models...Expanding... done.
16:24:50:ObjectDetectionYoloRKNN: Moving contents of objectdetect-rknn-models.zip to assets...done.
16:24:53:ObjectDetectionYoloRKNN: Downloading Custom YOLOv5 RKNN models...Expanding... done.
16:24:53:ObjectDetectionYoloRKNN: Moving contents of objectdetect-rknn-custom-models.zip to custom-models...done.
16:24:53:ObjectDetectionYoloRKNN: Installing Python packages for Object Detection (YOLOv5 RKNN)
16:24:53:ObjectDetectionYoloRKNN: Installing GPU-enabled libraries: If available
16:24:54:ObjectDetectionYoloRKNN: Searching for python3-pip...All good.
16:24:54:ObjectDetectionYoloRKNN: stty: 'standard input': Inappropriate ioctl for device
16:24:57:ObjectDetectionYoloRKNN: Ensuring PIP compatibility... done
16:24:57:ObjectDetectionYoloRKNN: No suitable requirements.txt file found.
16:24:57:ObjectDetectionYoloRKNN: Installing Python packages for the CodeProject.AI Server SDK
16:24:58:ObjectDetectionYoloRKNN: Searching for python3-pip...All good.
16:24:58:ObjectDetectionYoloRKNN: stty: 'standard input': Inappropriate ioctl for device
16:25:01:ObjectDetectionYoloRKNN: Ensuring PIP compatibility... done
16:25:01:ObjectDetectionYoloRKNN: Python packages will be specified by requirements.txt
16:25:10:ObjectDetectionYoloRKNN: - Installing Pillow, a Python Image Library... (❌ failed check) done
16:25:20:ObjectDetectionYoloRKNN: - Installing Charset normalizer... (❌ failed check) done
16:25:30:ObjectDetectionYoloRKNN: - Installing aiohttp, the Async IO HTTP library... (❌ failed check) done
16:25:39:ObjectDetectionYoloRKNN: - Installing aiofiles, the Async IO Files library... (❌ failed check) done
16:25:49:ObjectDetectionYoloRKNN: - Installing py-cpuinfo to allow us to query CPU info... (❌ failed check) done
16:25:59:ObjectDetectionYoloRKNN: - Installing Requests, the HTTP library... (❌ failed check) done
16:25:59:ObjectDetectionYoloRKNN: Scanning modulesettings for downloadable models...No models specified
16:25:59:ObjectDetectionYoloRKNN: Traceback (most recent call last):
16:25:59:ObjectDetectionYoloRKNN: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYoloRKNN/objectdetection_fd_rknn_adapter.py", line 9, in
16:25:59:ObjectDetectionYoloRKNN: from request_data import RequestData
16:25:59:ObjectDetectionYoloRKNN: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYoloRKNN/../../SDK/Python/request_data.py", line 8, in
16:25:59:ObjectDetectionYoloRKNN: from PIL import Image
16:25:59:ObjectDetectionYoloRKNN: ModuleNotFoundError: No module named 'PIL'
16:25:59:ObjectDetectionYoloRKNN: Self test: Self-test failed
16:25:59:ObjectDetectionYoloRKNN: Module setup time 00:01:58
16:25:59:ObjectDetectionYoloRKNN: Setup complete
16:25:59:ObjectDetectionYoloRKNN: Total setup time 00:02:00
16:25:59:Module ObjectDetectionYoloRKNN installed successfully.
16:25:59:Installer exited with code 0
16:25:59:
16:25:59:Module 'Object Detection (YOLOv5 RKNN)' 1.6.1 (ID: ObjectDetectionYoloRKNN)
16:25:59:Valid: True
16:25:59:Module Path: <root>/modules/ObjectDetectionYoloRKNN
16:25:59:AutoStart: True
16:25:59:Queue: objectdetection_queue
16:25:59:Runtime: python3.9
16:25:59:Runtime Loc: Local
16:25:59:FilePath: objectdetection_fd_rknn_adapter.py
16:25:59:Start pause: 1 sec
16:25:59:Parallelism: 1
16:25:59:LogVerbosity:
16:25:59:Platforms: orangepi
16:25:59:GPU Libraries: installed if available
16:25:59:GPU Enabled: enabled
16:25:59:Accelerator:
16:25:59:Half Precis.: enable
16:25:59:Environment Variables
16:25:59:CUSTOM_MODELS_DIR = <root>/modules/ObjectDetectionYoloRKNN/custom-models
16:25:59:MODELS_DIR = <root>/modules/ObjectDetectionYoloRKNN/assets
16:25:59:MODEL_SIZE = Small
16:25:59:
16:25:59:Started Object Detection (YOLOv5 RKNN) module
16:25:59:objectdetection_fd_rknn_adapter.py: Traceback (most recent call last):
16:25:59:objectdetection_fd_rknn_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYoloRKNN/objectdetection_fd_rknn_adapter.py", line 9, in
16:25:59:objectdetection_fd_rknn_adapter.py: from request_data import RequestData
16:25:59:objectdetection_fd_rknn_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYoloRKNN/../../SDK/Python/request_data.py", line 8, in
16:25:59:objectdetection_fd_rknn_adapter.py: from PIL import Image
16:25:59:objectdetection_fd_rknn_adapter.py: ModuleNotFoundError: No module named 'PIL'
16:25:59:objectdetection_fd_rknn_adapter.py: has exited
16:25:59:Module ObjectDetectionYoloRKNN has shutdown
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The issue is with the installer. I'll try and have an updated version out tomorrow
Updated: 2.6.4 is out which should help
cheers
Chris Maunder
modified 16-Apr-24 21:27pm.
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Removed the previous install and tried 2.6.4 twice. Both yielded an inability to download any new modules. Anytime I click on "install" for a new module I receive:
Error in Install ObjectDetectionYoloRKNN: 404
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There is a new bug that prevents installing modules in 2.6.4.
I'm working on it and should have a fix soon.
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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Thanks, Matthew, any idea when the fix will be out? Happy to test this weekend if it helps?
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I just upgraded to 2.6.2 to get the performance improvements (my detect times are about 2/3 faster)
I cannot get the License Plate reader to install/work correctly. This worked well in the previous release of 2.5.6
Install information
2024-04-12 14:01:32: Preparing to install module 'ALPR'
2024-04-12 14:01:32: Downloading module 'ALPR'
2024-04-12 14:01:33: Installing module 'ALPR'
2024-04-12 14:01:33: Installer script at 'C:\Program Files\CodeProject\AI\setup.bat'
2024-04-12 14:01:33: ALPR: [0;33m[49m Installing CodeProject.AI Analysis Module [0m
2024-04-12 14:01:33: ALPR: [0;32m[49m======================================================================[0m
2024-04-12 14:01:34: ALPR: [0;32m[49m CodeProject.AI Installer [0m
2024-04-12 14:01:34: ALPR: [0;32m[49m======================================================================[0m
2024-04-12 14:01:34: ALPR: [0;37m[49m756.9Gb of 952Gb available on [0m
2024-04-12 14:01:34: ALPR: [0;97m[104mGeneral CodeProject.AI setup [0m
2024-04-12 14:01:34: ALPR: [0;39m[49mCreating Directories...[0m[0;92m[49mdone[0m
2024-04-12 14:01:34: ALPR: [0;97m[42mGPU support [0m
2024-04-12 14:01:34: ALPR: [0;39m[49mCUDA Present...[0m[0;32m[49mYes (CUDA 12.3, cuDNN 8.5)[0m
2024-04-12 14:01:34: ALPR: [0;39m[49mROCm Present...[0m[0;33m[49mNo[0m
2024-04-12 14:01:36: ALPR: [0;37m[49mReading ALPR settings[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;37m[49m.[0m[0;32m[49mdone[0m
2024-04-12 14:01:36: ALPR: [0;97m[104mInstalling module License Plate Reader 3.1.0 [0m
2024-04-12 14:01:36: ALPR: [0;39m[49mInstalling Python 3.9[0m
2024-04-12 14:01:36: ALPR: [0;32m[49mPython 3.9 is already installed[0m
2024-04-12 14:01:42: ALPR: [0;39m[49mCreating Virtual Environment (Local)...[0m[0;32m[49mdone[0m
2024-04-12 14:01:42: ALPR: [0;39m[49mConfirming we have Python 3.9 in our virtual environment...[0m[0;32m[49mpresent[0m
2024-04-12 14:01:42: ALPR: [0;30m[49mDownloading ALPR models...[0m[0;95m[49malready exists...[0m[0;95m[49mExpanding...[0m[0;32m[49mdone.[0m
2024-04-12 14:01:42: ALPR: [0;39m[49mCopying contents of ocr-en-pp_ocrv4-paddle.zip to paddleocr...[0m[0;32m[49mdone[0m
2024-04-12 14:01:42: ALPR: [0;39m[49mInstalling Python packages for License Plate Reader[0m
2024-04-12 14:01:42: ALPR: [0;[49mInstalling GPU-enabled libraries: [0m[0;32m[49mIf available[0m
2024-04-12 14:01:43: ALPR: [0;39m[49mEnsuring Python package manager (pip) is installed...[0m[0;32m[49mdone[0m
2024-04-12 14:01:50: ALPR: [0;39m[49mEnsuring Python package manager (pip) is up to date...[0m[0;32m[49mdone[0m
2024-04-12 14:01:50: ALPR: [0;95m[49mPython packages specified by requirements.windows.cuda12.txt[0m
**** ERROR DURING INSTALL [INSERTED LINE] ****
2024-04-12 14:03:31: ALPR: [0;39m[49m - Installing PaddlePaddle, Parallel Distributed Deep Learning...[0m[0;91m[49m(⌠failed check) [0m[0;32m[49mdone[0m
**** END ERROR DURING INSTALL [INSERTED LINE] ****
2024-04-12 14:04:48: ALPR: [0;39m[49m - Installing PaddleOCR, the OCR toolkit based on PaddlePaddle...[0m[0;32m[49m(✅ checked) [0m[0;32m[49mdone[0m
2024-04-12 14:04:50: ALPR: [0;39m[49m - Installing imutils, the image utilities library...[0m[0;32m[49m(✅ checked) [0m[0;32m[49mdone[0m
2024-04-12 14:04:51: ALPR: [0;39m[49m - Installing Pillow, a Python Image Library...[0m[0;32m[49mAlready installed[0m
2024-04-12 14:04:52: ALPR: [0;39m[49m - Installing OpenCV, the Computer Vision library for Python...[0m[0;32m[49mAlready installed[0m
2024-04-12 14:05:05: ALPR: [0;39m[49m - Installing NumPy, a package for scientific computing...[0m[0;32m[49mAlready installed[0m
2024-04-12 14:05:05: ALPR: [0;39m[49mInstalling Python packages for the CodeProject.AI Server SDK[0m
2024-04-12 14:05:06: ALPR: [0;39m[49mEnsuring Python package manager (pip) is installed...[0m[0;32m[49mdone[0m
2024-04-12 14:05:08: ALPR: [0;39m[49mEnsuring Python package manager (pip) is up to date...[0m[0;32m[49mdone[0m
2024-04-12 14:05:08: ALPR: [0;95m[49mPython packages specified by requirements.txt[0m
2024-04-12 14:05:09: ALPR: [0;39m[49m - Installing Pillow, a Python Image Library...[0m[0;32m[49mAlready installed[0m
2024-04-12 14:05:10: ALPR: [0;39m[49m - Installing Charset normalizer...[0m[0;32m[49mAlready installed[0m
2024-04-12 14:05:15: ALPR: [0;39m[49m - Installing aiohttp, the Async IO HTTP library...[0m[0;32m[49m(✅ checked) [0m[0;32m[49mdone[0m
2024-04-12 14:05:17: ALPR: [0;39m[49m - Installing aiofiles, the Async IO Files library...[0m[0;32m[49m(✅ checked) [0m[0;32m[49mdone[0m
2024-04-12 14:05:19: ALPR: [0;39m[49m - Installing py-cpuinfo to allow us to query CPU info...[0m[0;32m[49m(✅ checked) [0m[0;32m[49mdone[0m
2024-04-12 14:05:20: ALPR: [0;39m[49m - Installing Requests, the HTTP library...[0m[0;32m[49mAlready installed[0m
2024-04-12 14:05:20: ALPR: [0;39m[49mScanning modulesettings for downloadable models...[0m[0;37m[49mNo models specified[0m
2024-04-12 14:05:20: ALPR: [0;39m[49mExecuting post-install script for License Plate Reader[0m
2024-04-12 14:05:20: ALPR: [0;39m[49mApplying PaddleOCR patch[0m
2024-04-12 14:05:20: ALPR: 1 file(s) copied.
2024-04-12 14:05:21: ALPR: Traceback (most recent call last):
2024-04-12 14:05:21: ALPR: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 16, in <module>
2024-04-12 14:05:21: ALPR: from ALPR import init_detect_platenumber, detect_platenumber
2024-04-12 14:05:21: ALPR: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR.py", line 19, in <module>
2024-04-12 14:05:21: ALPR: from paddleocr import PaddleOCR
2024-04-12 14:05:21: ALPR: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddleocr\__init__.py", line 14, in <module>
2024-04-12 14:05:21: ALPR: from .paddleocr import *
2024-04-12 14:05:21: ALPR: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddleocr\paddleocr.py", line 21, in <module>
2024-04-12 14:05:21: ALPR: import paddle
2024-04-12 14:05:21: ALPR: ModuleNotFoundError: No module named 'paddle'
2024-04-12 14:05:21: ALPR: [0;39m[49mSelf test: [0m[0;32m[49mSelf-test passed[0m
2024-04-12 14:05:21: ALPR: [0;95m[49mModule setup time 00:03:46.88[0m
2024-04-12 14:05:21: ALPR: [0;97m[42mSetup complete [0m
2024-04-12 14:05:21: ALPR: [0;95m[49mTotal setup time 00:03:47.78[0m
2024-04-12 14:05:21: Module ALPR installed successfully.
2024-04-12 14:05:21: Running module using: C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\Scripts\python
2024-04-12 14:05:21:
2024-04-12 14:05:21: Attempting to start ALPR with C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\Scripts\python "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py"
2024-04-12 14:05:21: Starting C:\Program Files...ws\python39\venv\Scripts\python "C:\Program Files...\modules\ALPR\ALPR_adapter.py"
2024-04-12 14:05:21:
2024-04-12 14:05:21: ** Module 'License Plate Reader' 3.1.0 (ID: ALPR)
2024-04-12 14:05:21: ** Valid: True
2024-04-12 14:05:21: ** Module Path: <root>\modules\ALPR
2024-04-12 14:05:21: ** AutoStart: True
2024-04-12 14:05:21: ** Queue: alpr_queue
2024-04-12 14:05:21: ** Runtime: python3.9
2024-04-12 14:05:21: ** Runtime Loc: Local
2024-04-12 14:05:21: ** FilePath: ALPR_adapter.py
2024-04-12 14:05:21: ** Start pause: 3 sec
2024-04-12 14:05:21: ** Parallelism: 0
2024-04-12 14:05:21: ** LogVerbosity:
2024-04-12 14:05:21: ** Platforms: all
2024-04-12 14:05:21: ** GPU Libraries: installed if available
2024-04-12 14:05:21: ** GPU Enabled: enabled
2024-04-12 14:05:21: ** Accelerator:
2024-04-12 14:05:21: ** Half Precis.: enable
2024-04-12 14:05:21: ** Environment Variables
2024-04-12 14:05:21: ** AUTO_PLATE_ROTATE = True
2024-04-12 14:05:21: ** CROPPED_PLATE_DIR = <root>\Server\wwwroot
2024-04-12 14:05:21: ** MIN_COMPUTE_CAPABILITY = 6
2024-04-12 14:05:21: ** MIN_CUDNN_VERSION = 7
2024-04-12 14:05:21: ** OCR_OPTIMAL_CHARACTER_HEIGHT = 60
2024-04-12 14:05:21: ** OCR_OPTIMAL_CHARACTER_WIDTH = 30
2024-04-12 14:05:21: ** OCR_OPTIMIZATION = True
2024-04-12 14:05:21: ** PLATE_CONFIDENCE = 0.7
2024-04-12 14:05:21: ** PLATE_RESCALE_FACTOR = 2
2024-04-12 14:05:21: ** PLATE_ROTATE_DEG = 0
2024-04-12 14:05:21: ** REMOVE_SPACES = False
2024-04-12 14:05:21: ** ROOT_PATH = <root>
2024-04-12 14:05:21: ** SAVE_CROPPED_PLATE = False
2024-04-12 14:05:21:
2024-04-12 14:05:21: Started License Plate Reader module
2024-04-12 14:05:21: Installer exited with code 0
2024-04-12 14:05:21: Object Detection (YOLOv5 6.2): Detecting using ipcam-general in Object Detection (YOLOv5 6.2)
2024-04-12 14:05:21: Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (#reqid a66c00b2-fa26-4e8b-be70-af9cd5cc324b) ['Found vehicle'] took 42ms
2024-04-12 14:05:22: ALPR_adapter.py: Traceback (most recent call last):
2024-04-12 14:05:22: ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 16, in <module>
2024-04-12 14:05:22: ALPR_adapter.py: from ALPR import init_detect_platenumber, detect_platenumber
2024-04-12 14:05:22: ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR.py", line 19, in <module>
2024-04-12 14:05:22: ALPR_adapter.py: from paddleocr import PaddleOCR
2024-04-12 14:05:22: ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddleocr\__init__.py", line 14, in <module>
2024-04-12 14:05:22: ALPR_adapter.py: from .paddleocr import *
2024-04-12 14:05:22: ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddleocr\paddleocr.py", line 21, in <module>
2024-04-12 14:05:22: ALPR_adapter.py: import paddle
2024-04-12 14:05:22: ALPR_adapter.py: ModuleNotFoundError: No module named 'paddle'
2024-04-12 14:05:22: ** Module ALPR has shutdown
2024-04-12 14:05:22: ALPR_adapter.py: has exited
2024-04-12 14:05:24: Module ALPR started successfully.
My system information
Server version: 2.6.2
System: Windows
Operating System: Windows (Microsoft Windows 11 version 10.0.22631)
CPUs: 13th Gen Intel(R) Core(TM) i7-13700K (Intel)
1 CPU x 16 cores. 24 logical processors (x64)
GPU (Primary): NVIDIA GeForce RTX 3060 (8 GiB) (NVIDIA)
Driver: 545.84, CUDA: 12.3 (up to: 12.3), Compute: 8.6, cuDNN: 8.5
System RAM: 32 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.18
.NET SDK: Not found
Default Python: Not found
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
NVIDIA GeForce RTX 3060:
Driver Version 31.0.15.4584
Video Processor NVIDIA GeForce RTX 3060
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 2.7 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Logs when i try to analyst an image
13:56:52:Started License Plate Reader module
13:56:52:ALPR_adapter.py: Traceback (most recent call last):
13:56:52:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 16, in
13:56:52:ALPR_adapter.py: from ALPR import init_detect_platenumber, detect_platenumber
13:56:52:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR.py", line 19, in
13:56:52:ALPR_adapter.py: from paddleocr import PaddleOCR
13:56:52:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddleocr\__init__.py", line 14, in
13:56:52:ALPR_adapter.py: from .paddleocr import *
13:56:52:ALPR_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ALPR\bin\windows\python39\venv\lib\site-packages\paddleocr\paddleocr.py", line 21, in
13:56:52:ALPR_adapter.py: import paddle
13:56:52:ALPR_adapter.py: ModuleNotFoundError: No module named 'paddle'
13:56:52:Module ALPR has shutdown
modified 16-Apr-24 12:12pm.
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It looks like the module did not get fully install. Try uninstall then reinstall using Do not use download cache
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Thanks for the response Mike.
I have installed and re-installed many times including the following permutations:
1. Adding and removing the module through the API
2. Adding and removing the module without download cache through the API
3. Uninstalling CodeProjectAI - making sure the C:\Program Files\CodeProject\ folder was deleted and reinstalling from scratch
Any other ideas?
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