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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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No, I also noticed that the recognitions have gotten much worse. Too many things are labeled as "person" now with overly high confidence levels. Spider webs are getting 75% person ratings for me now.
The recognition times have dropped dramatically (~114ms average to ~13ms average), but the accuracy has also dropped (maybe not quite to the 10% degree as the speed). But I wish there was a middle ground, like ~50ms for better accuracy, but that middle ground no longer exists.
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Hi all I have had number plate recognition working for quite some time then over the past few months it has stopped working and getting the error shown below:
14:30:00:Object Detection (YOLOv5 6.2): Detecting using license-plate
14:30:00:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...7f9def) ['Found DayPlate'] took 67ms
14:30:00:License Plate Reader: [AttributeError] : Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 57, in process
result = await detect_platenumber(self, self.opts, image)
File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR.py", line 132, in detect_platenumber
bounding_box_result = ocr.ocr(numpy_plate, rec=False, cls=False)
AttributeError: 'NoneType' object has no attribute 'ocr'
I cant figure it out or find a solution so wondered if anyone here has an idea please? Starting to loose my mind Frown | 
Thanks
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What version CodeProject.AI and License Plate Reader are you running. Post screenshots like the below screenshots
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Hi thanks for you reply please see below:
This one is of the log and error:
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Describe the bug
hi, i installed License Plate Reader from codeproject ai, but when i want to run on GPU, i get in logs that GPU module not installed, how to install needed module manually?
Expected behavior
i expect to to run License Plate Reader on GPU.
system info:
Server version: 2.5.4
System: Linux
Operating System: Linux (Ubuntu 22.04)
CPUs: Intel(R) Core(TM) i3-9100F CPU @ 3.60GHz (Intel)
1 CPU x 4 cores. 4 logical processors (x64)
GPU (Primary): NVIDIA GeForce GTX 1070 (8 GiB) (NVIDIA)
Driver: 535.161.07, CUDA: 12.2 (up to: 12.2), Compute: 6.1, cuDNN:
System RAM: 8 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Native (SSH)
Runtime Env: Production
.NET framework: .NET 7.0.17
Default Python: 3.10
Go Version:
Video adapter info:
Device 1234:
Driver Version
Video Processor
GP104 [GeForce GTX 1070] (rev a1):
Driver Version
Video Processor
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 83 MiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Log from switching on GPU:
17:36:20:Update ALPR. Setting EnableGPU=true
17:36:20:Restarting License Plate Reader to apply settings change
17:36:20:Sending shutdown request to python3/ALPR
17:36:20:Client request 'Quit' in queue 'alpr_queue' (...e44747)
17:36:20:Request 'Quit' dequeued from 'alpr_queue' (...e44747)
17:36:20:License Plate Reader: Retrieved alpr_queue command 'Quit'
17:36:31:ALPR_adapter.py: License Plate Reader started.
17:36:31:Module ALPR has shutdown
17:36:31:ALPR_adapter.py: has exited
17:36:53:ALPR went quietly
17:36:53:
17:36:53:Running module using: /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/bin/python3
17:36:53:Starting /usr...es/ALPR/bin/linux/python38/venv/bin/python3 "/usr...server-2.5.4/modules/ALPR/ALPR_adapter.py"
17:36:53:
17:36:53:Attempting to start ALPR with /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/bin/python3 "/usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/ALPR_adapter.py"
17:36:53:Module 'License Plate Reader' 3.0.2 (ID: ALPR)
17:36:53:Valid: True
17:36:53:Module Path: <root>/modules/ALPR
17:36:53:AutoStart: True
17:36:53:Queue: alpr_queue
17:36:53:Runtime: python3.8
17:36:53:Runtime Loc: Local
17:36:53:FilePath: ALPR_adapter.py
17:36:53:Pre installed: False
17:36:53:Start pause: 3 sec
17:36:53:Parallelism: 0
17:36:53:LogVerbosity:
17:36:53:Platforms: all
17:36:53:GPU Libraries: not installed
17:36:53:GPU Enabled: enabled
17:36:53:Accelerator:
17:36:53:Half Precis.: enable
17:36:53:Environment Variables
17:36:53:AUTO_PLATE_ROTATE = True
17:36:53:MIN_COMPUTE_CAPABILITY = 6
17:36:53:MIN_CUDNN_VERSION = 7
17:36:53:OCR_OPTIMAL_CHARACTER_HEIGHT = 60
17:36:53:OCR_OPTIMAL_CHARACTER_WIDTH = 30
17:36:53:OCR_OPTIMIZATION = true
17:36:53:PLATE_CONFIDENCE = 0.7
17:36:53:PLATE_RESCALE_FACTOR = 2
17:36:53:PLATE_ROTATE_DEG = 0
17:36:53:
17:36:53:Started License Plate Reader module
17:36:56:ALPR_adapter.py: Running init for License Plate Reader
Installation Log:
2024-03-25 13:37:51: Setting verbosity to quiet
2024-03-25 13:37:52: Installing CodeProject.AI Analysis Module
2024-03-25 13:37:52: ======================================================================
2024-03-25 13:37:52: CodeProject.AI Installer
2024-03-25 13:37:52: ======================================================================
2024-03-25 13:37:52: 67.00 GiB of 100.01 GiB available on linux
2024-03-25 13:37:52: Installing xz-utils...
2024-03-25 13:37:52: WARNING:
2024-03-25 13:37:52: apt does not have a stable CLI interface. WARNING: Use with caution in scripts.
2024-03-25 13:37:52: apt
2024-03-25 13:37:52: does not have a stable CLI interface. Use with caution in scripts.
2024-03-25 13:37:52: Hit:1 http:
2024-03-25 13:37:52: Hit:2 http:
2024-03-25 13:37:52: General CodeProject.AI setup
2024-03-25 13:37:52: Setting permissions on downloads folder...Done
2024-03-25 13:37:52: Setting permissions on runtimes folder...Done
2024-03-25 13:37:52: Setting permissions on persisted data folder...Done
2024-03-25 13:37:52: GPU support
2024-03-25 13:37:52: CUDA (NVIDIA) Present: Yes (CUDA 11.5, No cuDNN found)
2024-03-25 13:37:52: ROCm (AMD) Present: Hit:3 http:
2024-03-25 13:37:52: No
2024-03-25 13:37:52: MPS (Apple) Present: No
2024-03-25 13:37:52: Reading module settingsHit:4 http:
2024-03-25 13:37:52: Hit:5 https:
2024-03-25 13:37:53: ....Reading package lists......Done
2024-03-25 13:37:53: Processing module ALPR 3.0.2
2024-03-25 13:37:53: Installing Python 3.8
2024-03-25 13:37:53: Python 3.8 is already installed
2024-03-25 13:37:54: Ensuring PIP in base python install...
2024-03-25 13:37:54: Building dependency tree...
2024-03-25 13:37:54: Reading state information...
2024-03-25 13:37:54: All packages are up to date.
2024-03-25 13:38:03: done
2024-03-25 13:38:08: Upgrading PIP in base python install... done
2024-03-25 13:38:08: Installing Virtual Environment tools for Linux...
2024-03-25 13:38:09: Searching for python3-pip python3-setuptools python3.8...All good.
2024-03-25 13:38:12: Creating Virtual Environment (Local)... Done
2024-03-25 13:38:12: Checking for Python 3.8...(Found Python 3.8.18) All good
2024-03-25 13:38:15: Upgrading PIP in virtual environment... done
2024-03-25 13:38:17: Installing updated setuptools in venv... Done
2024-03-25 13:38:17: deb http:
2024-03-25 13:38:38: Searching for libssl1.1...installing... Done
2024-03-25 13:38:39: Ensuring symlinks are created...Done
2024-03-25 13:38:42: Downloading OCR models...Expanding... Done.
2024-03-25 13:38:42: Moving contents of ocr-en-pp_ocrv4-paddle.zip to paddleocr...done.
2024-03-25 13:38:42: Installing Python packages for License Plate Reader
2024-03-25 13:38:42: Installing GPU-enabled libraries: No
2024-03-25 13:38:42: Searching for python3-pip...All good.
2024-03-25 13:38:43: Ensuring PIP compatibility... Done
2024-03-25 13:38:43: Python packages will be specified by requirements.linux.txt
2024-03-25 13:39:38: - Installing PaddelPaddle, the Deep Learning platform... (✅ checked) Done
2024-03-25 13:42:19: - Installing PaddleOCR, the OCR toolkit based on PaddlePaddle... (✅ checked) Done
2024-03-25 13:42:27: - Installing imutils, the image utilities library... (✅ checked) Done
2024-03-25 13:42:28: - Installing Pillow, a Python Image Library...Already installed
2024-03-25 13:42:28: - Installing OpenCV, the Computer Vision library for Python...Already installed
2024-03-25 13:42:29: - Installing NumPy, a package for scientific computing...Already installed
2024-03-25 13:42:29: Installing Python packages for the CodeProject.AI Server SDK
2024-03-25 13:42:30: Searching for python3-pip...All good.
2024-03-25 13:42:32: Ensuring PIP compatibility... Done
2024-03-25 13:42:32: Python packages will be specified by requirements.txt
2024-03-25 13:42:33: - Installing Pillow, a Python Image Library...Already installed
2024-03-25 13:42:34: - Installing Charset normalizer...Already installed
2024-03-25 13:42:46: - Installing aiohttp, the Async IO HTTP library... (✅ checked) Done
2024-03-25 13:42:51: - Installing aiofiles, the Async IO Files library... (✅ checked) Done
2024-03-25 13:42:56: - Installing py-cpuinfo to allow us to query CPU info... (✅ checked) Done
2024-03-25 13:42:57: - Installing Requests, the HTTP library...Already installed
2024-03-25 13:42:57: Executing post-install script for License Plate Reader
2024-03-25 13:42:57: Applying PaddleOCR patch
2024-03-25 13:43:01: Self test: Self-test passed
2024-03-25 13:43:01: Module setup time 00:05:09
2024-03-25 13:43:01: Setup complete
2024-03-25 13:43:01: Total setup time 00:05:09
0
Object Detection (YOLOv5 6.2) 1.9.1
Started
GPU (CUDA)
0
Sound Classifier (TensorFlow) 1.2.0
Started
CPU
0
Super Resolution 1.9.1
Started
CPU
0
Strange is that nvidia-smi say that i have installed cuda 12, but python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))" say that i don't have cuda installed
root@ubuntu:/home/ubuntu# python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"
2024-03-25 16:43:13.892817: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
2024-03-25 16:43:15.158724: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
2024-03-25 16:43:18.191431: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-03-25 16:43:23.652032: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2024-03-25 16:43:27.289394: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https:
2024-03-25 16:43:27.294061: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2251] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https:
Skipping registering GPU devices...
[]
root@ubuntu:/home/ubuntu# nvidia-smi
Mon Mar 25 16:43:45 2024
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.161.07 Driver Version: 535.161.07 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA GeForce GTX 1070 Off | 00000000:06:10.0 Off | N/A |
| 0% 29C P8 11W / 250W | 4MiB / 8192MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| No running processes found |
+---------------------------------------------------------------------------------------+
python -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"
2024-03-25 17:33:34.414644: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
2024-03-25 17:33:34.470019: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
2024-03-25 17:33:34.684616: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-03-25 17:33:35.693581: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2024-03-25 17:33:37.085932: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https:
2024-03-25 17:33:38.488526: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2251] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https:
Skipping registering GPU devices...
[]
ubuntu@ubuntu:~$ pip install tensorrt
Defaulting to user installation because normal site-packages is not writeable
Requirement already satisfied: tensorrt in ./.local/lib/python3.9/site-packages (8.6.1.post1)
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Thanks very much for the report. Curious if this is fixed in 2.6.2, would you be willing to test it?
Thanks,
Sean Ewington
CodeProject
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Sean I have the same setup and this does not look resolved.
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Status
13:18:32:System: Windows
13:18:32:Operating System: Windows (Microsoft Windows 11 version 10.0.22631)
13:18:32:CPUs: 13th Gen Intel(R) Core(TM) i7-1360P (Intel)
13:18:32: 1 CPU x 12 cores. 16 logical processors (x64)
13:18:32:GPU (Primary): Intel(R) Iris(R) Xe Graphics (128 MiB) (Intel Corporation)
13:18:32: Driver: 31.0.101.5333
13:18:32:System RAM: 32 GiB
13:18:32:Platform: Windows
13:18:32:BuildConfig: Release
13:18:32:Execution Env: Native
13:18:32:Runtime Env: Production
13:18:32:Runtimes installed:
13:18:32: .NET runtime: 7.0.7
13:18:32: .NET SDK: Not found
13:18:32: Default Python: Not found
13:18:32: Go: Not found
13:18:32: NodeJS: Not found
13:18:32:App DataDir: C:\ProgramData\CodeProject\AI
13:18:32:Video adapter info:
13:18:32: Intel(R) Iris(R) Xe Graphics:
13:18:32: Driver Version 31.0.101.5333
13:18:32: Video Processor Intel(R) Iris(R) Xe Graphics Family
13:18:32:STARTING CODEPROJECT.AI SERVER
13:18:32:RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
13:18:32:PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
13:18:32:MODULES_PATH = C:\Program Files\CodeProject\AI\modules
13:18:32:PYTHON_PATH = \bin\windows\%PYTHON_NAME%\venv\Scripts\python
13:18:32:Data Dir = C:\ProgramData\CodeProject\AI
13:18:33:Server version: 2.5.6
13:18:36:
13:18:36:Module 'Object Detection (YOLOv5 6.2)' 1.9.1 (ID: ObjectDetectionYOLOv5-6.2)
13:18:36:Valid: True
13:18:36:Module Path: <root>\modules\ObjectDetectionYOLOv5-6.2
13:18:36:AutoStart: True
13:18:36:Queue: objectdetection_queue
13:18:36:Runtime: python3.7
13:18:36:Runtime Loc: Shared
13:18:36:FilePath: detect_adapter.py
13:18:36:Pre installed: False
13:18:36:Start pause: 1 sec
13:18:36:Parallelism: 0
13:18:36:LogVerbosity:
13:18:36:Platforms: all,!raspberrypi,!jetson
13:18:36:GPU Libraries: installed if available
13:18:36:GPU Enabled: enabled
13:18:36:Accelerator:
13:18:36:Half Precis.: enable
13:18:36:Environment Variables
13:18:36:APPDIR = <root>\modules\ObjectDetectionYOLOv5-6.2
13:18:36:CPAI_MODULE_ENABLE_GPU = True
13:18:36:CUSTOM_MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\custom-models
13:18:36:MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\assets
13:18:36:MODEL_SIZE = Medium
13:18:36:USE_CUDA = True
13:18:36:YOLOv5_AUTOINSTALL = false
13:18:36:YOLOv5_VERBOSE = false
13:18:36:
13:18:36:Started Object Detection (YOLOv5 6.2) module
13:18:38:Server: This is the latest version
13:18:41:Sending shutdown request to python/ObjectDetectionYOLOv5-6.2
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...c25b11) ['No objects found'] took 3328ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...ac0745) ['Found chair'] took 3336ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...6a90f4) ['Found chair'] took 3355ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...688c99) ['Found chair'] took 3375ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...286995) ['No objects found'] took 3389ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...900079) ['Found chair'] took 3452ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...b71487) ['No objects found'] took 3451ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...ac22f4) ['Found bench, chair'] took 3475ms
13:18:44:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...91c4ee) ['No objects found'] took 1236ms
13:18:44:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...90fb4e) ['No objects found'] took 1227ms
13:18:44:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...2dcaf4) ['No objects found'] took 1265ms
13:18:44:detect_adapter.py: Object Detection (YOLOv5 6.2) started.
13:18:44:detect_adapter.py: Inference processing will occur on device 'CPU'
13:18:44:detect_adapter.py: Retrieved objectdetection_queue command 'custom'
13:18:44:detect_adapter.py: Retrieved objectdetection_queue command 'custom'
13:18:44:detect_adapter.py: Error sending response: Server disconnected
13:18:44:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...8432d6) ['Found boat'] took 1098ms
13:18:45:Module ObjectDetectionYOLOv5-6.2 has shutdown
13:18:45:detect_adapter.py: has exited
13:19:14:ObjectDetectionYOLOv5-6.2 went quietly
13:19:14:
13:19:14:Module 'Object Detection (YOLOv5 6.2)' 1.9.1 (ID: ObjectDetectionYOLOv5-6.2)
13:19:14:Valid: True
13:19:14:Module Path: <root>\modules\ObjectDetectionYOLOv5-6.2
13:19:14:AutoStart: True
13:19:14:Queue: objectdetection_queue
13:19:14:Runtime: python3.7
13:19:14:Runtime Loc: Shared
13:19:14:FilePath: detect_adapter.py
13:19:14:Pre installed: False
13:19:14:Start pause: 1 sec
13:19:14:Parallelism: 0
13:19:14:LogVerbosity:
13:19:14:Platforms: all,!raspberrypi,!jetson
13:19:14:GPU Libraries: installed if available
13:19:14:GPU Enabled: enabled
13:19:14:Accelerator:
13:19:14:Half Precis.: enable
13:19:14:Environment Variables
13:19:14:APPDIR = <root>\modules\ObjectDetectionYOLOv5-6.2
13:19:14:CPAI_MODULE_ENABLE_GPU = True
13:19:14:CUSTOM_MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\custom-models
13:19:14:MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\assets
13:19:14:MODEL_SIZE = Medium
13:19:14:USE_CUDA = True
13:19:14:YOLOv5_AUTOINSTALL = false
13:19:14:YOLOv5_VERBOSE = false
13:19:14:
13:19:14:Started Object Detection (YOLOv5 6.2) module
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...54fbdb) ['No objects found'] took 3509ms
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...c59ae0) ['Found bench, tv, dining table'] took 3573ms
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...b64e6b) ['No objects found'] took 3637ms
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...de96f4) ['No objects found'] took 3547ms
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...2a1e1a) ['Found truck, boat'] took 3472ms
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...1ceb20) ['No objects found'] took 3736ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...cfac6a) ['No objects found'] took 2385ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...6b7179) ['No objects found'] took 2442ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...263a42) ['No objects found'] took 2440ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...7bbed0) ['No objects found'] took 2400ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...3026a3) ['No objects found'] took 2378ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...c31481) ['No objects found'] took 2368ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...5511d6) ['No objects found'] took 2455ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...2d19bd) ['No objects found'] took 2523ms
13:19:24:Object Detection (YOLOv5 6.2): Detecting using actionnetv2
Logging level
Server Log
13:18:32:System: Windows
13:18:32:Operating System: Windows (Microsoft Windows 11 version 10.0.22631)
13:18:32:CPUs: 13th Gen Intel(R) Core(TM) i7-1360P (Intel)
13:18:32: 1 CPU x 12 cores. 16 logical processors (x64)
13:18:32:GPU (Primary): Intel(R) Iris(R) Xe Graphics (128 MiB) (Intel Corporation)
13:18:32: Driver: 31.0.101.5333
13:18:32:System RAM: 32 GiB
13:18:32:Platform: Windows
13:18:32:BuildConfig: Release
13:18:32:Execution Env: Native
13:18:32:Runtime Env: Production
13:18:32:Runtimes installed:
13:18:32: .NET runtime: 7.0.7
13:18:32: .NET SDK: Not found
13:18:32: Default Python: Not found
13:18:32: Go: Not found
13:18:32: NodeJS: Not found
13:18:32:App DataDir: C:\ProgramData\CodeProject\AI
13:18:32:Video adapter info:
13:18:32: Intel(R) Iris(R) Xe Graphics:
13:18:32: Driver Version 31.0.101.5333
13:18:32: Video Processor Intel(R) Iris(R) Xe Graphics Family
13:18:32:STARTING CODEPROJECT.AI SERVER
13:18:32:RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
13:18:32:PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
13:18:32:MODULES_PATH = C:\Program Files\CodeProject\AI\modules
13:18:32:PYTHON_PATH = \bin\windows\%PYTHON_NAME%\venv\Scripts\python
13:18:32:Data Dir = C:\ProgramData\CodeProject\AI
13:18:33:Server version: 2.5.6
13:18:36:
13:18:36:Module 'Object Detection (YOLOv5 6.2)' 1.9.1 (ID: ObjectDetectionYOLOv5-6.2)
13:18:36:Valid: True
13:18:36:Module Path: <root>\modules\ObjectDetectionYOLOv5-6.2
13:18:36:AutoStart: True
13:18:36:Queue: objectdetection_queue
13:18:36:Runtime: python3.7
13:18:36:Runtime Loc: Shared
13:18:36:FilePath: detect_adapter.py
13:18:36:Pre installed: False
13:18:36:Start pause: 1 sec
13:18:36:Parallelism: 0
13:18:36:LogVerbosity:
13:18:36:Platforms: all,!raspberrypi,!jetson
13:18:36:GPU Libraries: installed if available
13:18:36:GPU Enabled: enabled
13:18:36:Accelerator:
13:18:36:Half Precis.: enable
13:18:36:Environment Variables
13:18:36:APPDIR = <root>\modules\ObjectDetectionYOLOv5-6.2
13:18:36:CPAI_MODULE_ENABLE_GPU = True
13:18:36:CUSTOM_MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\custom-models
13:18:36:MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\assets
13:18:36:MODEL_SIZE = Medium
13:18:36:USE_CUDA = True
13:18:36:YOLOv5_AUTOINSTALL = false
13:18:36:YOLOv5_VERBOSE = false
13:18:36:
13:18:36:Started Object Detection (YOLOv5 6.2) module
13:18:38:Server: This is the latest version
13:18:41:Sending shutdown request to python/ObjectDetectionYOLOv5-6.2
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...c25b11) ['No objects found'] took 3328ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...ac0745) ['Found chair'] took 3336ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...6a90f4) ['Found chair'] took 3355ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...688c99) ['Found chair'] took 3375ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...286995) ['No objects found'] took 3389ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...900079) ['Found chair'] took 3452ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...b71487) ['No objects found'] took 3451ms
13:18:43:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...ac22f4) ['Found bench, chair'] took 3475ms
13:18:44:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...91c4ee) ['No objects found'] took 1236ms
13:18:44:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...90fb4e) ['No objects found'] took 1227ms
13:18:44:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...2dcaf4) ['No objects found'] took 1265ms
13:18:44:detect_adapter.py: Object Detection (YOLOv5 6.2) started.
13:18:44:detect_adapter.py: Inference processing will occur on device 'CPU'
13:18:44:detect_adapter.py: Retrieved objectdetection_queue command 'custom'
13:18:44:detect_adapter.py: Retrieved objectdetection_queue command 'custom'
13:18:44:detect_adapter.py: Error sending response: Server disconnected
13:18:44:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...8432d6) ['Found boat'] took 1098ms
13:18:45:Module ObjectDetectionYOLOv5-6.2 has shutdown
13:18:45:detect_adapter.py: has exited
13:19:14:ObjectDetectionYOLOv5-6.2 went quietly
13:19:14:
13:19:14:Module 'Object Detection (YOLOv5 6.2)' 1.9.1 (ID: ObjectDetectionYOLOv5-6.2)
13:19:14:Valid: True
13:19:14:Module Path: <root>\modules\ObjectDetectionYOLOv5-6.2
13:19:14:AutoStart: True
13:19:14:Queue: objectdetection_queue
13:19:14:Runtime: python3.7
13:19:14:Runtime Loc: Shared
13:19:14:FilePath: detect_adapter.py
13:19:14:Pre installed: False
13:19:14:Start pause: 1 sec
13:19:14:Parallelism: 0
13:19:14:LogVerbosity:
13:19:14:Platforms: all,!raspberrypi,!jetson
13:19:14:GPU Libraries: installed if available
13:19:14:GPU Enabled: enabled
13:19:14:Accelerator:
13:19:14:Half Precis.: enable
13:19:14:Environment Variables
13:19:14:APPDIR = <root>\modules\ObjectDetectionYOLOv5-6.2
13:19:14:CPAI_MODULE_ENABLE_GPU = True
13:19:14:CUSTOM_MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\custom-models
13:19:14:MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\assets
13:19:14:MODEL_SIZE = Medium
13:19:14:USE_CUDA = True
13:19:14:YOLOv5_AUTOINSTALL = false
13:19:14:YOLOv5_VERBOSE = false
13:19:14:
13:19:14:Started Object Detection (YOLOv5 6.2) module
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...54fbdb) ['No objects found'] took 3509ms
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...c59ae0) ['Found bench, tv, dining table'] took 3573ms
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...b64e6b) ['No objects found'] took 3637ms
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...de96f4) ['No objects found'] took 3547ms
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...2a1e1a) ['Found truck, boat'] took 3472ms
13:19:21:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...1ceb20) ['No objects found'] took 3736ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...cfac6a) ['No objects found'] took 2385ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...6b7179) ['No objects found'] took 2442ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...263a42) ['No objects found'] took 2440ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...7bbed0) ['No objects found'] took 2400ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...3026a3) ['No objects found'] took 2378ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...c31481) ['No objects found'] took 2368ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...5511d6) ['No objects found'] took 2455ms
13:19:24:Response rec'd from Object Detection (YOLOv5 6.2) command 'detect' (...2d19bd) ['No objects found'] took 2523ms
13:19:24:Object Detection (YOLOv5 6.2): Detecting using actionnetv2
Logging level
Info
In
System Info
Server version: 2.5.6
System: Windows
Operating System: Windows (Microsoft Windows 11 version 10.0.22631)
CPUs: 13th Gen Intel(R) Core(TM) i7-1360P (Intel)
1 CPU x 12 cores. 16 logical processors (x64)
GPU (Primary): Intel(R) Iris(R) Xe Graphics (128 MiB) (Intel Corporation)
Driver: 31.0.101.5333
System RAM: 32 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.7
.NET SDK: Not found
Default Python: Not found
Go: Not found
NodeJS: Not found
Video adapter info:
Intel(R) Iris(R) Xe Graphics:
Driver Version 31.0.101.5333
Video Processor Intel(R) Iris(R) Xe Graphics Family
System GPU info:
GPU 3D Usage 5%
GPU RAM Usage 0
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
modified 2-Apr-24 14:39pm.
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The restarts are because you have Auto start/stop with Blue Iris checked, uncheck this.
Also you may want to try the Object Detection (YOLOv5 .NET) module, this will use your Intel(R) Iris(R) Xe GPU and should be faster.
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Thanks for your help. I'll make those changes.
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I made the changes you suggested. The server is running but no detection is taking place with yolo5.net installed. Am I missing some components?
12:34:35:System: Windows
12:34:35:Operating System: Windows (Microsoft Windows 11 version 10.0.22631)
12:34:35:CPUs: 13th Gen Intel(R) Core(TM) i7-1360P (Intel)
12:34:35: 1 CPU x 12 cores. 16 logical processors (x64)
12:34:35:GPU (Primary): Intel(R) Iris(R) Xe Graphics (128 MiB) (Intel Corporation)
12:34:35: Driver: 31.0.101.5333
12:34:35:System RAM: 32 GiB
12:34:35:Platform: Windows
12:34:35:BuildConfig: Release
12:34:35:Execution Env: Native
12:34:35:Runtime Env: Production
12:34:35:Runtimes installed:
12:34:35: .NET runtime: 7.0.7
12:34:35: .NET SDK: Not found
12:34:35: Default Python: Not found
12:34:35: Go: Not found
12:34:35: NodeJS: Not found
12:34:35:App DataDir: C:\ProgramData\CodeProject\AI
12:34:35:Video adapter info:
12:34:35: Intel(R) Iris(R) Xe Graphics:
12:34:35: Driver Version 31.0.101.5333
12:34:35: Video Processor Intel(R) Iris(R) Xe Graphics Family
12:34:35:STARTING CODEPROJECT.AI SERVER
12:34:35:RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes
12:34:35:PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules
12:34:35:MODULES_PATH = C:\Program Files\CodeProject\AI\modules
12:34:35:PYTHON_PATH = \bin\windows\%PYTHON_NAME%\venv\Scripts\python
12:34:35:Data Dir = C:\ProgramData\CodeProject\AI
12:34:35:Server version: 2.5.6
12:34:40:Server: This is the latest version
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Thanks very much for your follow-up. If you open up the CodeProject.AI Server Explorer, and attempt a manual test of the Object Detection (YOLOv5 .NET) module there, does it work?
Thanks,
Sean Ewington
CodeProject
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I am trying in vain to install the Ubuntu version of Codeproject AI in a Proxmox LXC container. In both the privileged and unprivileged container, a meaningless error message simply appears. Which packages are required by default. What can I try to make it work? I do not want to use Docker.
<pre>root@ubuntu:/home/install# pushd "/usr/bin/codeproject.ai-server-2.5.4/" && bash setup.sh && popd
/usr/bin/codeproject.ai-server-2.5.4 /home/install
/usr/bin/codeproject.ai-server-2.5.4/SDK/Scripts/utils.sh: line 2525: gsettings: command not found
(No schemas means: we can't detect if you're in light or dark mode)
Installing CodeProject.AI Analysis Module
======================================================================
CodeProject.AI Installer
======================================================================
7.08 GiB of 9.07 GiB available on linux
Installing xz-utils...
WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
Hit:1 http://archive.ubuntu.com/ubuntu jammy InRelease
Hit:2 http://archive.ubuntu.com/ubuntu jammy-updates InRelease
Hit:3 http://archive.ubuntu.com/ubuntu jammy-security InRelease
0% [Working]
General CodeProject.AI setup
Setting permissions on downloads folder...Done
Setting permissions on runtimes folder...Done
Setting permissions on persisted data folder...Done
GPU support
CUDA (NVIDIA) Present: No
No esent:
MPS (Apple) Present: No
Reading module settings.......Done
Processing module codeproject.ai-server-2.5.4
This module cannot be installed on this system
Setup complete
Total setup time 00:00:00
/home/install
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
All packages are up to date.
modified 2-Apr-24 14:06pm.
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======================================================================
CodeProject.AI Installer
======================================================================
8.01 GiB of 9.07 GiB available on linux
Installing xz-utils...
WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
Hit:1 http://security.debian.org bookworm-security InRelease
Hit:2 http://deb.debian.org/debian bookworm InRelease
Hit:3 http://deb.debian.org/debian bookworm-updates InRelease
Hit:4 https://packages.microsoft.com/debian/12/prod bookworm InRelease
Installing jq...
WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
Hit:1 http://deb.debian.org/debian bookworm InRelease
Hit:2 http://security.debian.org bookworm-security InRelease
Hit:3 http://deb.debian.org/debian bookworm-updates InRelease
Hit:4 https://packages.microsoft.com/debian/12/prod bookworm InRelease
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
All packages are up to date.
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
All packages are up to date.
General CodeProject.AI setup
Setting permissions on downloads folder...Done
Setting permissions on runtimes folder...Done
Setting permissions on persisted data folder...Done
GPU support
CUDA (NVIDIA) Present: No
ROCm (AMD) Present: (attempt to install rocminfo...) No
MPS (Apple) Present: No
Reading module settings.......Done
Processing module codeproject.ai-server-2.5.4
This module cannot be installed on this system
Setup complete
Total setup time 00:00:04
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From my notes, this was the output that I got:
Reading module settingsCannot find .Modules."codeproject.ai-server-2.5.4".Name in modulesettings in /usr/bin/codeproject.ai-server-2.5.4/modules/codeproject.ai-server-2.5.4
.Cannot find .Modules."codeproject.ai-server-2.5.4".Version in modulesettings in /usr/bin/codeproject.ai-server-2.5.4/modules/codeproject.ai-server-2.5.4
.Cannot find .Modules."codeproject.ai-server-2.5.4".LaunchSettings.Runtime in modulesettings in /usr/bin/codeproject.ai-server-2.5.4/modules/codeproject.ai-server-2.5.4
.Cannot find .Modules."codeproject.ai-server-2.5.4".LaunchSettings.RuntimeLocation in modulesettings in /usr/bin/codeproject.ai-server-2.5.4/modules/codeproject.ai-server-2.5.4
.Cannot find .Modules."codeproject.ai-server-2.5.4".LaunchSettings.FilePath in modulesettings in /usr/bin/codeproject.ai-server-2.5.4/modules/codeproject.ai-server-2.5.4
.Cannot find .Modules."codeproject.ai-server-2.5.4".GpuOptions.InstallGPU in modulesettings in /usr/bin/codeproject.ai-server-2.5.4/modules/codeproject.ai-server-2.5.4
.Cannot find .Modules."codeproject.ai-server-2.5.4".InstallOptions.Platforms in modulesettings in /usr/bin/codeproject.ai-server-2.5.4/modules/codeproject.ai-server-2.5.4
I was able to get it a little bit further down the path by simply manually starting the service.
sudo bash /usr/bin/codeproject.ai-server-2.5.4/start.sh
This did a whole bunch of stuff, including getting me the webpage. But, it threw a lot of errors and I never got a functional system going. In my case, the modules just did not function at all. If I had to guess, there's either some missing pre-req's, missing steps in the instructions and/or some issues with the underlying code. I couldn't tear apart what was actually wrong or missing, but it might be possible by studying the errors more closely.
I would love to get this going myself as I want a functional mesh system and I've given up on trying to make that work using Docker.
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Can you please do a ls on the root folder (/usr/bin/codeproject.ai-server-2.5.4) and the modules folder (/usr/bin/codeproject.ai-server-2.5.4/modules)?
Could I also offer you version 2.6.2. It's still in Insider testing but give it a spin and let me know if it helps
cheers
Chris Maunder
modified 2-Apr-24 14:48pm.
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Can you please try something for me?
Instead of running the setup script, can you simply launch CodeProject.AI directly?
bash start.sh. You may even want to sudo that, just in case.
On first startup, the modules will be installed
cheers
Chris Maunder
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