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IF YOU ARE HAVING A PROBLEM
- Take a look at the logs in
C:\Program Files\CodeProject\AI\logs and see if there's anything in there that screams 'something broke'.
- Check the FAQs in the CodeProject.AI Server documentation
- Make sure you've tested the server using the Explorer (blue link, top middle of the dashboard) to ensure it's a server issue rather than something else such as Blue Iris or another app using CodeProject.AI server.
- If there's no obvious answer, then copy and paste into a message the contents of the System Info tab, describe what you are doing, and what you see, and what you would expect.
Always include a copy and paste from the System Info tab of the dashboard. It gives us a ton of info on your setup. If an individual module is failing, click the 'Info' button to the right of the module's name in the status list and copy and paste that info too.
How to reinstall a module
Option 1. Go to the install modules tab on the dashboard and try re-installing the package. Make sure you have enough disk space and a reliable internet connection.
Option 2: (Option 1 with a vengeance): If that fails, head to the module's folder ([app root]\modules\module-id), open a terminal in admin mode, and run ..\..\setup. This will force a manual reinstall using the install script.
Docker: In Docker you will need to open a terminal into the docker container. You can do this using Docker Desktop, or Visual Studio Code with the Docker remote extension, or on the command using using docker attach. Then do a cd /app/modules/module-id where module-id is the id of the module you need to resinstall. Next, run sudo bash ../../setup.sh --verbosity info to force a manual reinstall of that module. (Set verbosity as quiet, info or loud to get less or more info)
cheers
Chris Maunder
modified 18-Feb-24 15:48pm.
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If you are a Blue Iris user and you are using custom models, then you would notice that the option, in Blue Iris, to set the custom model location is greyed out. This is because Blue Iris does not currently make changes to CodeProject.AI Server's settings. It can be done by manually starting CodeProject.AI with command line parameters (not a great solution), or editing the module settings files (a little messy), or setting system-wide environment variables (way easier). For version 1.6 we added an API to allow any app to change our settings programmatically, and we take care of stopping/restarting things and persisting the changes.
So: Blue Iris doesn't currently change CodeProject.AI Server's settings, so it doesn't provide you a way to change the custom model folder location from within Blue Iris.
Blue Iris will still use the contents of this folder to determine the calls it makes. If you don't specify a model to use in the Custom Models textbox, then Blue Iris will use all models in the custom models folder that it knows about.
Here we've specified a specific model to use. The Blue Iris help file explains more about how this works, including inclusive and exclusive filters on the models it finds.
CodeProject.AI Server doesn't know about Blue Iris' folder, so it can't tell what models it may be expected to use, nor can it tell Blue Iris about what models CodeProject.AI server has available. Our API allows Blue Iris to get a list of the AI models installed with CodeProject.AI Server, and also to set the folder where these models reside. But Blue Iris doesn't, yet, use that API.
So we do a hack.
At install time we sniff the registry to find where Blue Iris thinks the custom models should be. We then make empty copies of the models that we have, and copy them into that folder. If the folder doesn't exist (eg you were using C:\Program Files\CodeProject\AI\AnalysisLayer\CustomObjectDetection\assets, which no longer exists) then we create that folder, and then copy over the empty files.
When Blue Iris looks in that folder to decide what custom calls it can make, it sees the models, notes their names, and uses those names in the calls. CodeProject.AI Server has those models, so when the calls come through we can process them.
Blue Iris doesn't use the models. It uses the list of model names.
If you have your own models in the Blue Iris folder
You will need to copy them to the CodeProject.AI server's custom model folder (by default this is C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\custom-models)
If you've modified the registry and have your own custom models
If you were using a folder in C:\Program Files\CodeProject\AI\AnalysisLayer\CustomObjectDetection\ (which no longer existed after the upgrade, but was recreated by our hack) you'll need to re-copy your custom model into that folder.
The simplest solutions are:
- Modify the registry (Computer\HKEY_LOCAL_MACHINE\SOFTWARE\Perspective Software\Blue Iris\Options\AI, key 'deepstack_custompath') so Blue Iris looks in
C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\custom-models for custom models, and copy your models into there.
or
- Modify
C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\modulesettings.json file and set CUSTOM_MODELS_DIR to be whatever Blue Iris thinks the custom model folder is.
cheers
Chris Maunder
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Installing the Coral Module fails with:
Unable to download module 'ObjectDetectionCoral' from https://www.codeproject.com/KB/articles/5348853/ObjectDetectionCoral-2.2.2.zip. Error: No bytes downloaded
Looks like if you change the version to 2.2.0 you can manually download it.
Server version: 2.6.2
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (Intel)
1 CPU x 4 cores. 8 logical processors (x64)
GPU (Primary): Microsoft Remote Display Adapter (Microsoft)
Driver: 10.0.19041.3636
System RAM: 32 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:
Microsoft Remote Display Adapter:
Driver Version 10.0.19041.3636
Video Processor
Intel(R) HD Graphics 530:
Driver Version 27.20.100.9664
Video Processor Intel(R) HD Graphics Family
System GPU info:
GPU 3D Usage 2%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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Came here looking for solutions to this download issue.
I've managed to get the v2.2.0.zip to download, but I'm unsure of the installation methods. Any hints you can point me to?
Cheers, -Ian
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Directions to install/re-install a module are found above in the Readme First post.
I tried to do that after downloading 2.2.0 and the installer said it was unable to install:
Installing CodeProject.AI Analysis Module
======================================================================
CodeProject.AI Installer
======================================================================
74.0Gb of 237Gb available on
General CodeProject.AI setup
Creating Directories...done
GPU support
CUDA Present...No
ROCm Present...No
Reading ObjectDetectionCoral-2.2.0 settings.......done
Installing module ObjectDetectionCoral-2.2.0
This module cannot be installed on this system
Setup complete
Total setup time 00:00:01.92
c:\Program Files\CodeProject\AI\modules\ObjectDetectionCoral-2.2.0>
-Jason
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Running Ubuntu 22.04. Upon reboot, YOLOv5.NET keeps getting reinstalled on reboot. Any way to stop this?
Thanks
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We just identified and fixed the error. We'll have a new release soon.
cheers
Chris Maunder
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Could you please send a copy of the System Info tab
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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And are you running the server in Docker.
If so, how are you starting it?
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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Server version: 2.6.2
System: Docker (9da8bba89b16)
Operating System: Linux (Ubuntu 22.04)
CPUs: QEMU Virtual CPU version 2.5+
1 CPU x 8 cores. 8 logical processors (x64)
GPU (Primary): NVIDIA GeForce RTX 3060 (12 GiB) (NVIDIA)
Driver: 535.171.04, CUDA: 12.2 (up to: 12.2), Compute: 8.6, cuDNN: 8.9.6
System RAM: 8 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Docker
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.17
.NET SDK: Not found
Default Python: 3.10.12
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 2.9 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
I'm starting it using Docker CLI.
I also submitted <a href="https://www.codeproject.com/Messages/5995996/Cant-uninstall-without-updating">this</a> which would be great if it could get resolved since it means to uninstall, I need to first update and then uninstall.
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Server version: 2.6.2
System: Linux
Operating System: Linux (Ubuntu 22.04)
CPUs: QEMU Virtual CPU version 2.5+
1 CPU x 4 cores. 4 logical processors (x64)
System RAM: 8 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.17
.NET SDK: 7.0.117
Default Python: 3.10.12
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
Device 1234:
Driver Version
Video Processor
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
I've installed CodeProject.AI on an Ubuntu VM in Proxmox. I'm having issues with getting it to run when the VM is restarted. CP.AI continually shuts down and restarts. I've scoured the net for possible issues and can't find anything so forgive me if it's something obvious  . The only way I can get it to run most of the time is to stop the service and run it manually running the script bash /usr/bin/codeproject.ai-server-2.6.2/start.sh.
I'm using CP.AI with Blue Iris for my home security cameras. I tried installing it in the Windows VM with Blue Iris however, that had significant install problems and then wouldn't run properly and consumed heaps of resources. When I can get CP.AI to run in the Ubuntu VM, it works a lot better than it was in Windows. I had some minor reports during the install and I'm unsure if these have any major impact on how it's running. They're pasted below.
If anyone can advise on how best to troubleshoot and get this running reliably that would be appreciated.
15:27:27:FaceProcessing: stty: 'standard input': Inappropriate ioctl for device
15:27:30:FaceProcessing: Creating Virtual Environment (Shared)... done
15:27:30:FaceProcessing: Checking for Python 3.8...(Found Python 3.8.19) All good
15:27:34:FaceProcessing: Upgrading PIP in virtual environment... done
15:27:36:FaceProcessing: Installing updated setuptools in venv... done
15:34:57:FaceProcessing: Downloading Face models...Expanding... done.
15:34:57:FaceProcessing: Moving contents of models-face-pt.zip to assets...done.
15:34:57:FaceProcessing: Installing Python packages for Face Processing
15:34:57:FaceProcessing: Installing GPU-enabled libraries: If available
15:34:57:FaceProcessing: Searching for python3-pip...All good.
15:34:57:FaceProcessing: stty: 'standard input': Inappropriate ioctl for device
15:36:09:FaceProcessing: - Installing Pillow, a Python Image Library... (❌ failed check) done
15:39:16:ObjectDetectionYOLOv5Net: Creating models download folder...Needs admin permission to create folder
16:16:25:detect_adapter.py: Traceback (most recent call last):
16:16:25:detect_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYOLOv5-6.2/detect_adapter.py", line 20, in
16:16:25:detect_adapter.py: from detect import do_detection
16:16:25:detect_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.2/modules/ObjectDetectionYOLOv5-6.2/detect.py", line 8, in
16:16:25:detect_adapter.py: from yolov5.models.common import DetectMultiBackend, AutoShape
16:16:25:detect_adapter.py: ModuleNotFoundError: No module named 'yolov5'
16:16:26:Module ObjectDetectionYOLOv5-6.2 has shutdown
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We've had other reports of this and it's clearly a system issue (my guess: our understanding of how to manage systemd).
cheers
Chris Maunder
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Hi,
I'm running codeproject in a docker debian lxc within proxmox. I believe I've passed through the Coral USB TPU correctly as codeproject references 'TPU Dectected' in the logs, however next entry is 'Unable to find or initialise the Coral TPU. Falling back to CPU-only.'
Really unsure where to go from here so reaching out in the hope that someone can advise.
Thanks!
18:22:24:Started Object Detection (Coral) module
18:22:26:face.py: Vision AI services setup: Retrieving environment variables...
18:22:26:face.py: APPDIR: /app/preinstalled-modules/FaceProcessing/intelligencelayer
18:22:26:face.py: PROFILE: desktop_cpu
18:22:26:face.py: USE_CUDA: False
18:22:26:face.py: DATA_DIR: /etc/codeproject/ai
18:22:26:face.py: MODELS_DIR: /app/preinstalled-modules/FaceProcessing/assets
18:22:26:face.py: MODE: MEDIUM
18:22:26:face.py: Running init for Face Processing
18:22:51:objectdetection_coral_adapter.py: MODULE_PATH: /app/modules/ObjectDetectionCoral
18:22:51:objectdetection_coral_adapter.py: MODELS_DIR: /app/modules/ObjectDetectionCoral/assets
18:22:51:objectdetection_coral_adapter.py: CPAI_CORAL_MODEL_NAME: mobilenet ssd
18:22:51:objectdetection_coral_adapter.py: MODEL_SIZE: small
18:22:51:objectdetection_coral_adapter.py: CPU_MODEL_NAME: tf2_ssd_mobilenet_v2_coco17_ptq.tflite
18:22:51:objectdetection_coral_adapter.py: TPU_MODEL_NAME: tf2_ssd_mobilenet_v2_coco17_ptq_edgetpu.tflite
18:22:51:objectdetection_coral_adapter.py: TPU detected
18:22:51:objectdetection_coral_adapter.py: Running init for Object Detection (Coral)
18:22:51:objectdetection_coral_adapter.py: Input details: {'name': 'serving_default_input:0', 'index': 0, 'shape': array([ 1, 300, 300, 3], dtype=int32), 'shape_signature': array([ 1, 300, 300, 3], dtype=int32), 'dtype': , 'quantization': (0.007843137718737125, 127), 'quantization_parameters': {'scales': array([0.00784314], dtype=float32), 'zero_points': array([127], dtype=int32), 'quantized_dimension': 0}, 'sparsity_parameters': {}}
18:22:51:objectdetection_coral_adapter.py: Unable to find or initialise the Coral TPU. Falling back to CPU-only.
18:22:51:objectdetection_coral_adapter.py: Output details: {'name': 'StatefulPartitionedCall:3;StatefulPartitionedCall:2;StatefulPartitionedCall:1;StatefulPartitionedCall:02', 'index': 252, 'shape': array([ 1, 20], dtype=int32), 'shape_signature': array([ 1, 20], dtype=int32), 'dtype': , 'quantization': (0.0, 0), 'quantization_parameters': {'scales': array([], dtype=float32), 'zero_points': array([], dtype=int32), 'quantized_dimension': 0}, 'sparsity_parameters': {}}
18:22:51:objectdetection_coral_adapter.py: Using CPU
modified 11hrs 5mins ago.
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Thanks very much for your report. Could you please share your System Info tab from your CodeProject.AI Server dashboard, and installation log for the Coral module?
Thanks,
Sean Ewington
CodeProject
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Thanks for the response, Sean.
After posting for help yesterday, I made the realisation that the TPU cannot be shared between multiple services. Frigate is already using my TPU successfully, so I suspect that's the issue.
In case this is the wrong assumption, I've pasted the info you requested below, thanks for the help!
Server version: 2.6.2
System: Docker (e1635ace6cb8)
Operating System: Linux (Ubuntu 22.04)
CPUs: Intel(R) Core(TM) i5-6500T CPU @ 2.50GHz (Intel)
1 CPU x 4 cores. 4 logical processors (x64)
System RAM: 31 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Docker
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.17
.NET SDK: Not found
Default Python: 3.10.12
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Installation logs:
<pre>18:06:28:Preparing to install module 'ObjectDetectionCoral'
18:06:28:Downloading module 'ObjectDetectionCoral'
18:06:29:Installing module 'ObjectDetectionCoral'
18:06:29:Installer script at '/app/setup.sh'
18:06:29:ObjectDetectionCoral: Setting verbosity to info
18:06:29:ObjectDetectionCoral: Hi Docker! We will disable shared python installs for downloaded modules
18:06:29:ObjectDetectionCoral: No schemas installed
18:06:29:ObjectDetectionCoral: (No schemas means: we can't detect if you're in light or dark mode)
18:06:29:ObjectDetectionCoral: Installing CodeProject.AI Analysis Module
18:06:29:ObjectDetectionCoral: ======================================================================
18:06:29:ObjectDetectionCoral: CodeProject.AI Installer
18:06:29:ObjectDetectionCoral: ======================================================================
18:06:29:ObjectDetectionCoral: 40.01 GiB of 50.00 GiB available on Docker
18:06:29:ObjectDetectionCoral: os, arch = linux x86_64
18:06:29:ObjectDetectionCoral: systemName, platform = Docker, linux
18:06:29:ObjectDetectionCoral: edgeDevice =
18:06:29:ObjectDetectionCoral: SSH = false
18:06:29:ObjectDetectionCoral: setupMode = SetupModule
18:06:29:ObjectDetectionCoral: executionEnvironment = Production
18:06:29:ObjectDetectionCoral: rootDirPath = /app
18:06:29:ObjectDetectionCoral: appRootDirPath = /app
18:06:29:ObjectDetectionCoral: setupScriptDirPath = /app
18:06:29:ObjectDetectionCoral: sdkScriptsDirPath = /app/SDK/Scripts
18:06:29:ObjectDetectionCoral: runtimesDirPath = /app/runtimes
18:06:29:ObjectDetectionCoral: modulesDirPath = /app/modules
18:06:29:ObjectDetectionCoral: downloadDirPath = /app/downloads
18:06:29:ObjectDetectionCoral: Installing xz-utils...
18:06:29:ObjectDetectionCoral: WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
18:06:29:ObjectDetectionCoral: WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
18:06:30:ObjectDetectionCoral: stty: 'standard input': Inappropriate ioctl for device
18:06:30:ObjectDetectionCoral: General CodeProject.AI setup
18:06:30:ObjectDetectionCoral: Setting permissions on downloads folder...done
18:06:30:ObjectDetectionCoral: Setting permissions on modules download folder...done
18:06:30:ObjectDetectionCoral: Setting permissions on models download folder...done
18:06:30:ObjectDetectionCoral: Setting permissions on runtimes folder...done
18:06:30:ObjectDetectionCoral: Setting permissions on persisted data folder...done
18:06:30:ObjectDetectionCoral: GPU support
18:06:31:ObjectDetectionCoral: CUDA (NVIDIA) Present: No
18:06:31:ObjectDetectionCoral: ROCm (AMD) Present: No
18:06:31:ObjectDetectionCoral: MPS (Apple) Present: No
18:06:31:ObjectDetectionCoral: Reading module settings.......done
18:06:31:ObjectDetectionCoral: Processing module ObjectDetectionCoral 2.2.0
18:06:31:ObjectDetectionCoral: moduleName = Object Detection (Coral)
18:06:31:ObjectDetectionCoral: moduleVersion = 2.2.0
18:06:31:ObjectDetectionCoral: runtime = python3.9
18:06:31:ObjectDetectionCoral: runtimeLocation = Local
18:06:31:ObjectDetectionCoral: installGPU = true
18:06:31:ObjectDetectionCoral: pythonVersion = 3.9
18:06:31:ObjectDetectionCoral: virtualEnvDirPath = /app/modules/ObjectDetectionCoral/bin/linux/python39/venv
18:06:31:ObjectDetectionCoral: venvPythonCmdPath = /app/modules/ObjectDetectionCoral/bin/linux/python39/venv/bin/python3.9
18:06:31:ObjectDetectionCoral: packagesDirPath = /app/modules/ObjectDetectionCoral/bin/linux/python39/venv/lib/python3.9/site-packages/
18:06:31:ObjectDetectionCoral: Installing Python 3.9
18:06:31:ObjectDetectionCoral: Python 3.9 is already installed
18:06:32:ObjectDetectionCoral: W: https://packages.cloud.google.com/apt/dists/coral-edgetpu-stable/InRelease: Key is stored in legacy trusted.gpg keyring (/etc/apt/trusted.gpg), see the DEPRECATION section in apt-key(8) for details.
18:06:32:ObjectDetectionCoral: Ensuring PIP in base python install...Reading package lists...
18:06:32:ObjectDetectionCoral: Building dependency tree...
18:06:32:ObjectDetectionCoral: Reading state information...
18:06:33:ObjectDetectionCoral: 0 upgraded, 0 newly installed, 1 reinstalled, 0 to remove and 24 not upgraded.
18:06:33:ObjectDetectionCoral: Need to get 193 kB of archives.
18:06:33:ObjectDetectionCoral: After this operation, 0 B of additional disk space will be used.
18:06:33:ObjectDetectionCoral: Get:1 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy/main amd64 python3.9-distutils all 3.9.19-1+jammy1 [193 kB]
18:06:33:ObjectDetectionCoral: debconf: delaying package configuration, since apt-utils is not installed
18:06:33:ObjectDetectionCoral: Fetched 193 kB in 0s (850 kB/s)
18:06:33:ObjectDetectionCoral: (Reading database ...
18:06:33:ObjectDetectionCoral: (Reading database ... 5%
18:06:33:ObjectDetectionCoral: (Reading database ... 10%
18:06:33:ObjectDetectionCoral: (Reading database ... 15%
18:06:33:ObjectDetectionCoral: (Reading database ... 20%
18:06:33:ObjectDetectionCoral: (Reading database ... 25%
18:06:33:ObjectDetectionCoral: (Reading database ... 30%
18:06:33:ObjectDetectionCoral: (Reading database ... 35%
18:06:33:ObjectDetectionCoral: (Reading database ... 40%
18:06:33:ObjectDetectionCoral: (Reading database ... 45%
18:06:33:ObjectDetectionCoral: (Reading database ... 50%
18:06:33:ObjectDetectionCoral: (Reading database ... 55%
18:06:33:ObjectDetectionCoral: (Reading database ... 60%
18:06:33:ObjectDetectionCoral: (Reading database ... 65%
18:06:33:ObjectDetectionCoral: (Reading database ... 70%
18:06:33:ObjectDetectionCoral: (Reading database ... 75%
18:06:33:ObjectDetectionCoral: (Reading database ... 80%
18:06:33:ObjectDetectionCoral: (Reading database ... 85%
18:06:33:ObjectDetectionCoral: (Reading database ... 90%
18:06:33:ObjectDetectionCoral: (Reading database ... 95%
18:06:33:ObjectDetectionCoral: (Reading database ... 100%
18:06:33:ObjectDetectionCoral: (Reading database ... 20873 files and directories currently installed.)
18:06:33:ObjectDetectionCoral: Preparing to unpack .../python3.9-distutils_3.9.19-1+jammy1_all.deb ...
18:06:33:ObjectDetectionCoral: Unpacking python3.9-distutils (3.9.19-1+jammy1) over (3.9.19-1+jammy1) ...
18:06:33:ObjectDetectionCoral: Setting up python3.9-distutils (3.9.19-1+jammy1) ...
18:06:35:ObjectDetectionCoral: Looking in links: /tmp/tmp5jb9pszo
18:06:35:ObjectDetectionCoral: Requirement already satisfied: setuptools in /usr/local/lib/python3.9/dist-packages (69.2.0)
18:06:35:ObjectDetectionCoral: Requirement already satisfied: pip in /usr/local/lib/python3.9/dist-packages (24.0)
18:06:35:ObjectDetectionCoral: WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
18:06:35:ObjectDetectionCoral: done
18:06:36:ObjectDetectionCoral: Upgrading PIP in base python install...Requirement already satisfied: pip in /usr/local/lib/python3.9/dist-packages (24.0)
18:06:36:ObjectDetectionCoral: WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
18:06:36:ObjectDetectionCoral: done
18:06:36:ObjectDetectionCoral: Installing Virtual Environment tools for Linux...
18:06:36:ObjectDetectionCoral: Searching for installed dependencies:
18:06:40:ObjectDetectionCoral: -> python3-pip python3-setuptools python3.9-venv done
18:06:40:ObjectDetectionCoral: All dependencies already installed.
18:06:40:ObjectDetectionCoral: stty: 'standard input': Inappropriate ioctl for device
18:06:43:ObjectDetectionCoral: Creating Virtual Environment (Local)...done
18:06:43:ObjectDetectionCoral: Checking for Python 3.9...(Found Python 3.9.19) All good
18:06:46:ObjectDetectionCoral: Upgrading PIP in virtual environment... done
18:06:48:ObjectDetectionCoral: Installing updated setuptools in venv... done
18:06:48:ObjectDetectionCoral: Searching for installed dependencies:
18:06:49:ObjectDetectionCoral: -> gnupg done
18:06:49:ObjectDetectionCoral: All dependencies already installed.
18:06:49:ObjectDetectionCoral: stty: 'standard input': Inappropriate ioctl for device
18:06:50:ObjectDetectionCoral: Edge TPU library found.
18:06:50:ObjectDetectionCoral: Installing Python packages for Object Detection (Coral)
18:06:50:ObjectDetectionCoral: Installing GPU-enabled libraries: If available
18:06:50:ObjectDetectionCoral: Ensuring PIP is installed and up to date...
18:06:50:ObjectDetectionCoral: Searching for installed dependencies:
18:06:51:ObjectDetectionCoral: -> python3-pip done
18:06:51:ObjectDetectionCoral: All dependencies already installed.
18:06:51:ObjectDetectionCoral: stty: 'standard input': Inappropriate ioctl for device
18:06:51:ObjectDetectionCoral: Ensuring PIP compatibility ...
18:06:53:ObjectDetectionCoral: Looking in links: /tmp/tmp1itjtiri
18:06:53:ObjectDetectionCoral: Requirement already satisfied: setuptools in ./bin/linux/python39/venv/lib/python3.9/site-packages (69.5.1)
18:06:53:ObjectDetectionCoral: Requirement already satisfied: pip in ./bin/linux/python39/venv/lib/python3.9/site-packages (24.0)
18:06:53:ObjectDetectionCoral: Python packages will be specified by requirements.txt
18:06:57:Response timeout. Try increasing the timeout value
18:06:58:ObjectDetectionCoral: - Installing Tensorflow Lite...Installing https://github.com/google-coral/pycoral/releases/download/v2.0.0/tflite_runtime-2.5.0.post1-cp39-cp39-linux_x86_64.whl... (not checked) done
18:07:04:ObjectDetectionCoral: - Installing PyCoral...Checking ...Check done...Installing pycoral~=2.0... (❌ failed check) done
18:07:05:ObjectDetectionCoral: - Installing NumPy, the fundamental package for array computing with Python...Checking ...Check done...Already installed
18:07:05:ObjectDetectionCoral: - Installing Pillow, a Python Image Library...Checking ...Check done...Already installed
18:07:05:ObjectDetectionCoral: Installing Python packages for the CodeProject.AI Server SDK
18:07:05:ObjectDetectionCoral: Ensuring PIP is installed and up to date...
18:07:05:ObjectDetectionCoral: Searching for installed dependencies:
18:07:07:ObjectDetectionCoral: -> python3-pip done
18:07:07:ObjectDetectionCoral: All dependencies already installed.
18:07:07:ObjectDetectionCoral: stty: 'standard input': Inappropriate ioctl for device
18:07:07:ObjectDetectionCoral: Ensuring PIP compatibility ...
18:07:08:ObjectDetectionCoral: Looking in links: /tmp/tmpf7l3fem8
18:07:08:ObjectDetectionCoral: Requirement already satisfied: setuptools in ./bin/linux/python39/venv/lib/python3.9/site-packages (69.5.1)
18:07:08:ObjectDetectionCoral: Requirement already satisfied: pip in ./bin/linux/python39/venv/lib/python3.9/site-packages (24.0)
18:07:08:ObjectDetectionCoral: Python packages will be specified by requirements.txt
18:07:09:ObjectDetectionCoral: - Installing Pillow, a Python Image Library...Checking ...Check done...Already installed
18:07:11:ObjectDetectionCoral: - Installing Charset normalizer...Checking ...Check done...Installing charset-normalizer... (✅ checked) done
18:07:14:ObjectDetectionCoral: - Installing aiohttp, the Async IO HTTP library...Checking ...Check done...Installing aiohttp... (✅ checked) done
18:07:16:ObjectDetectionCoral: - Installing aiofiles, the Async IO Files library...Checking ...Check done...Installing aiofiles... (✅ checked) done
18:07:18:ObjectDetectionCoral: - Installing py-cpuinfo to allow us to query CPU info...Checking ...Check done...Installing py-cpuinfo... (✅ checked) done
18:07:21:ObjectDetectionCoral: - Installing Requests, the HTTP library...Checking ...Check done...Installing requests... (✅ checked) done
18:07:21:ObjectDetectionCoral: Scanning modulesettings for downloadable models...Processing model list
18:07:21:ObjectDetectionCoral: Downloading objectdetection-mobilenet-large-edgetpu.zip to /app/downloads/modules/ObjectDetectionCoral
18:07:21:ObjectDetectionCoral: Extracting to assets in this folder
18:07:22:ObjectDetectionCoral: Downloading MobileNet Large... already exists...Expanding...done.
18:07:22:ObjectDetectionCoral: Moving contents of objectdetection-mobilenet-large-edgetpu.zip to assets...done.
18:07:22:ObjectDetectionCoral: Downloading objectdetection-mobilenet-medium-edgetpu.zip to /app/downloads/modules/ObjectDetectionCoral
18:07:22:ObjectDetectionCoral: Extracting to assets in this folder
18:07:22:ObjectDetectionCoral: Downloading MobileNet Medium... already exists...Expanding...done.
18:07:22:ObjectDetectionCoral: Moving contents of objectdetection-mobilenet-medium-edgetpu.zip to assets...done.
18:07:23:ObjectDetectionCoral: Downloading objectdetection-mobilenet-small-edgetpu.zip to /app/downloads/modules/ObjectDetectionCoral
18:07:23:ObjectDetectionCoral: Extracting to assets in this folder
18:07:23:ObjectDetectionCoral: Downloading MobileNet Small... already exists...Expanding...done.
18:07:23:ObjectDetectionCoral: Moving contents of objectdetection-mobilenet-small-edgetpu.zip to assets...done.
18:07:23:ObjectDetectionCoral: Downloading objectdetection-mobilenet-tiny-edgetpu.zip to /app/downloads/modules/ObjectDetectionCoral
18:07:23:ObjectDetectionCoral: Extracting to assets in this folder
18:07:23:ObjectDetectionCoral: Downloading MobileNet Tiny... already exists...Expanding...done.
18:07:23:ObjectDetectionCoral: Moving contents of objectdetection-mobilenet-tiny-edgetpu.zip to assets...done.
18:07:24:ObjectDetectionCoral: SELF TEST START ======================================================
18:07:51:ObjectDetectionCoral: WARNING:root:Unable to load delegate for TPU usb:0: Failed to load delegate from libedgetpu.so.1
18:07:51:ObjectDetectionCoral: WARNING:root:TPU Exception creating interpreter: usb:0
18:07:51:ObjectDetectionCoral: WARNING:root:No Coral TPUs found or able to be initialized. Using CPU.
18:07:51:ObjectDetectionCoral: WARNING:root:Unable to load delegate for TPU cpu: Failed to load delegate from libedgetpu.so.1
18:07:51:ObjectDetectionCoral: WARNING:root:Unable to create interpreter for CPU using edgeTPU library: cpu
18:08:16:ObjectDetectionCoral: Debug: MODULE_PATH: /app/modules/ObjectDetectionCoral
18:08:16:ObjectDetectionCoral: Debug: MODELS_DIR: /app/modules/ObjectDetectionCoral/assets
18:08:16:ObjectDetectionCoral: Debug: CPAI_CORAL_MODEL_NAME: mobilenet ssd
18:08:16:ObjectDetectionCoral: Debug: MODEL_SIZE: small
18:08:16:ObjectDetectionCoral: Debug: CPU_MODEL_NAME: tf2_ssd_mobilenet_v2_coco17_ptq.tflite
18:08:16:ObjectDetectionCoral: Debug: TPU_MODEL_NAME: tf2_ssd_mobilenet_v2_coco17_ptq_edgetpu.tflite
18:08:16:ObjectDetectionCoral: Info: TPU detected
18:08:16:ObjectDetectionCoral: Info: Attempting multi-TPU initialisation
18:08:16:ObjectDetectionCoral: Info: Failed to init multi-TPU. Falling back to single TPU.
18:08:16:ObjectDetectionCoral: Info: Unable to find or initialise the Coral TPU. Falling back to CPU-only.
18:08:16:ObjectDetectionCoral: Debug: Input details: {'name': 'serving_default_input:0', 'index': 0, 'shape': array([ 1, 300, 300, 3], dtype=int32), 'shape_signature': array([ 1, 300, 300, 3], dtype=int32), 'dtype': , 'quantization': (0.007843137718737125, 127), 'quantization_parameters': {'scales': array([0.00784314], dtype=float32), 'zero_points': array([127], dtype=int32), 'quantized_dimension': 0}, 'sparsity_parameters': {}}
18:08:16:ObjectDetectionCoral: Debug: Output details: {'name': 'StatefulPartitionedCall:3;StatefulPartitionedCall:2;StatefulPartitionedCall:1;StatefulPartitionedCall:02', 'index': 252, 'shape': array([ 1, 20], dtype=int32), 'shape_signature': array([ 1, 20], dtype=int32), 'dtype': , 'quantization': (0.0, 0), 'quantization_parameters': {'scales': array([], dtype=float32), 'zero_points': array([], dtype=int32), 'quantized_dimension': 0}, 'sparsity_parameters': {}}
18:08:16:ObjectDetectionCoral: Info: Using CPU
18:08:16:ObjectDetectionCoral: Info: Self-test for ObjectDetectionCoral. Success: True
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This is correct, only one TPU per process at a time.
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I tried to install the Ubuntu 2.6.2 CPAI application for Linux on my Ubuntu machine.
I had a lot of trouble.
So I thought, why not read the install instructions?
Clicked on the Installing on Linux link on the CPAI homepage.
I got 404
https:
HTTP ERROR 404
Specifically, at the end, I got hung up with the "pushd" and "popd" commands you are supposed to run.
From what I read online, pushd and popd are not commands that can be run from the command line in Linux, they are components of Bash.
Also the software installer in Ubuntu 22.04 does not recognize the deb file as installable. I then tried to install using dpkg -i, and now cannot run it and cannot uninstall it.
Is the 404 for the install on Linux and MacOS link a mistake, or are there problems with the Ubuntu package?
If the latter, might I suggest to take down the link for the package as well.
Thanks.
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It turns out that I cannot run the Docker 2.6.2 container on my Ubuntu machine either.
If I remember correctly, in one of the recent versions the data and configuration directories were moved.
If I run CPAI version 2.6.2 Docker image without the mount commands, these are the directories listed in the server:
09:59:48:Video adapter info:
09:59:48:STARTING CODEPROJECT.AI SERVER
09:59:48:RUNTIMES_PATH = /app/runtimes
09:59:48:PREINSTALLED_MODULES_PATH = /app/preinstalled-modules
09:59:48:DEMO_MODULES_PATH = /app/demos/modules
09:59:48:MODULES_PATH = /app/modules
09:59:48:PYTHON_PATH = /bin/linux/%PYTHON_NAME%/venv/bin/python3
09:59:48:Data Dir = /etc/codeproject/ai
Quite a while ago, I had been using the advanced run command to start the Code Project AI-Server in order to keep the program from starting with the default settings each time it starts.
The advanced run command from the Docker page on the CPAI website is as folows:
docker run --name CodeProject.AI -d -p 32168:32168 \
--mount type=bind,source=/etc/codeproject/ai,target=/etc/codeproject/ai \
--mount type=bind,source=/opt/codeproject/ai,target=/app/modules \
codeproject/ai-server
When I try to run the AI-Server with this run command, I get an error like this:
unable to start the server: an item with the same key has already been added.
So should I be changing the "Targets" to match the directories listed by the program when started without the mount commands?
Thanks again,
Trying to install the Ubuntu application on my machine has seemed to really mess up the CPAI install.
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Chris
On the main Code Project page.
In the Guides, Help, FAQ section.
"Installing on Linux" and
"Installing on Mac OS"
Those two links seem to be broken.
404
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I just started to wonder if you guys were going to drop support for the Ubuntu app.
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Maybe I downloaded a corrupt installer zip file.
On my Ubuntu machine, if I right click on the unzipped deb file, Open with other application, Software Install, I get "Loading application details..." for about a half hour.
If I install it using dpkg -i <filename>, it seems to install, but at the end, the "pushd" and "popd" piece, I get "pushd" not found. Maybe have to run in a bash shell, I read that you can't run those from the Ubuntu command line, they are components of bash.
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Hey,
Platform: Windows
Server Version: 2.6.2
When making a call to "/v1/vision/custom/list" I'm only getting back a 404 result. The reason why I've looked inti it is that AgentDVR uses this endpoint to list available models in it's "Object Detection" dialog.
Is it intentional that this endpoint does no longer exist?
Nils
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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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