|
Are you able to download the module manually?
(If you do manage to do that, you can unzip the ALPR zip into the /modules folder, then open a terminal into the ALPR folder and run bash ../../setup.sh to run the installer)
cheers
Chris Maunder
|
|
|
|
|
That worked perfectly!
|
|
|
|
|
I've been running the codeproject ai server with Blue Iris for many months without issue, but have recently reinstalled it after upgrading to a CUDA supported GPU. It's now completely broken and shuts down shortly after booting.
Here's the log error
2024-05-18 15:13:28: detect_adapter.py: Traceback (most recent call last):
2024-05-18 15:13:28: detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2\detect_adapter.py", line 12, in <module>
2024-05-18 15:13:28: detect_adapter.py: from request_data import RequestData
2024-05-18 15:13:28: detect_adapter.py: File "../../SDK/Python\request_data.py", line 8, in <module>
2024-05-18 15:13:28: detect_adapter.py: from PIL import Image
2024-05-18 15:13:28: detect_adapter.py: ModuleNotFoundError: No module named 'PIL'
I'm trying to use Object Detection (YOLOv5 6.2) since I have CUDA v11.8 on a GeForce GTX 1050 ti
How do I fix this error?
I should mention that the YOLOv5.NET isn't working either, and that both of these models aren't giving me the option of running them on the GPU.
|
|
|
|
|
Try uninstalling the modules then reinstall using Do not use download cache
|
|
|
|
|
Thanks for the reply Mike. I tried that and the model still shuts down and server restarts.
This error happens shortly before it goes offline
14:41:43:Object Detection (YOLOv5 6.2): [RuntimeError] : Traceback (most recent call last):
File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2\detect.py", line 141, in do_detection
det = detector(img, size=640)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1190, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 705, in forward
y = self.model(x, augment=augment) # forward
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1190, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 515, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1190, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 121, in _forward_once
x = m(x) # run
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1190, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\Lib\site-packages\yolov5\models\yolo.py", line 74, in forward
xy = (xy * 2 + self.grid[i]) * self.stride[i] # xy
RuntimeError: The size of tensor a (12) must match the size of tensor b (20) at non-singleton dimension 3
system info:
14:40:07:System: Windows
14:40:07:Operating System: Windows (Microsoft Windows 10.0.19045)
14:40:07:CPUs: Intel(R) Core(TM) i7-2600K CPU @ 3.40GHz (Intel)
14:40:07: 1 CPU x 4 cores. 8 logical processors (x64)
14:40:07:GPU (Primary): NVIDIA GeForce GTX 1050 Ti (4 GiB) (NVIDIA)
14:40:07: Driver: 555.85, CUDA: 12.5 (up to: 12.5), Compute: 6.1, cuDNN: 9.1
14:40:07:System RAM: 16 GiB
14:40:07:Platform: Windows
14:40:07:BuildConfig: Release
14:40:07:Execution Env: Native
14:40:07:Runtime Env: Production
14:40:07:Runtimes installed:
14:40:07: .NET runtime: 7.0.10
14:40:07: .NET SDK: Not found
14:40:07: Default Python: Not found
14:40:07: Go: Not found
14:40:07: NodeJS: Not found
14:40:07: Rust: Not found
14:40:07:App DataDir: C:\ProgramData\CodeProject\AI
14:40:07:Video adapter info:
14:40:07: NVIDIA GeForce GTX 1050 Ti:
14:40:07: Driver Version 32.0.15.5585
14:40:07: Video Processor NVIDIA GeForce GTX 1050 Ti
14:40:07: Intel(R) HD Graphics 3000:
14:40:07: Driver Version 9.17.10.4459
14:40:07: Video Processor Intel(R) HD Graphics Family
Using YOLOv5 6.2 on GPU with CUDA
|
|
|
|
|
Try disabling Half Precison
|
|
|
|
|
2.6.4 Linux installer on Ubuntu 22.04 is not creating services. Only way I can get it to run is manually with start.sh.
Anyone able to shed light on manual service creation process so I don't need to keep a shell open and it starts at boot?
Thanks
|
|
|
|
|
Figured it out.
/etc/systemd/system/codeproject.ai-server.service had DOTNET_ROOT=/usr/lib64/dotnet, path on my Ubuntu 22.0.4 x64 system was actually /usr/lib/dotnet
Service is operating correctly now.
|
|
|
|
|
I had the same issue. After updating the service file, i needed to enable the service
sudo systemctl enable codeproject.ai-server.service
When i look at the service status i get the following:
~$ systemctl status codeproject.ai-server.service
May 21 13:19:04 nuc codeproject.ai-server[776]: Debug Current Version is 2.6.4
May 21 13:19:04 nuc codeproject.ai-server[776]: Infor *** Server: This is a new, unreleased version
May 21 13:19:07 nuc codeproject.ai-server[776]: Trace face.py: Vision AI services setup: Retrieving environment variables...
May 21 13:19:07 nuc codeproject.ai-server[776]: Debug face.py: APPDIR: /usr/bin/codeproject.ai-server-2.6.4/modules/FacePro>
May 21 13:19:07 nuc codeproject.ai-server[776]: Debug face.py: PROFILE: desktop_cpu
May 21 13:19:07 nuc codeproject.ai-server[776]: Debug face.py: USE_CUDA: False
May 21 13:19:07 nuc codeproject.ai-server[776]: Debug face.py: DATA_DIR: /etc/codeproject/ai
May 21 13:19:07 nuc codeproject.ai-server[776]: Debug face.py: MODELS_DIR: /usr/bin/codeproject.ai-server-2.6.4/modules/FacePro>
May 21 13:19:07 nuc codeproject.ai-server[776]: Debug face.py: MODE: MEDIUM
May 21 13:19:07 nuc codeproject.ai-server[776]: Trace face.py: Running init for Face Processing
Not sure why it states unreleased version?
|
|
|
|
|
Is there a command line to install the code project executable installer for windows silently?
Th goal would be to deploy the install without user prompts.
|
|
|
|
|
Thanks very much for your inquiry. The answer is, there is not a command line to install the CodeProject.AI Server executable installer for Windows silently that has been reliably tested yet. Something to consider for the future.
Thanks,
Sean Ewington
CodeProject
|
|
|
|
|
My use case is that I want to see more details about the detection requests - parameters submitted, origin, etc. I got into CPAI because of Blue Iris but it's working far from how I expect it to work and I would like to understand more where the various requests are coming from, especially related to static object detection which is at best confusing.
|
|
|
|
|
Try the docs
Is there anything specific we can help with?
cheers
Chris Maunder
|
|
|
|
|
I get this when trying to install the Sound Classifier.
it does appear to work, but also have this in log:
08:47:54:SoundClassifierTF: C:\Program Files\CodeProject\AI\modules\SoundClassifierTF\bin\windows\python39\venv\lib\site-packages\scipy\__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.26.4
08:47:54:SoundClassifierTF: warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
08:47:55:SoundClassifierTF: 2024-05-15 08:47:54.989982: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
08:47:57:SoundClassifierTF: WARNING:tensorflow:From C:\Program Files\CodeProject\AI\modules\SoundClassifierTF\bin\windows\python39\venv\lib\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.
08:47:58:SoundClassifierTF: WARNING:tensorflow:From C:\Program Files\CodeProject\AI\modules\SoundClassifierTF\sound_classification.py:15: The name tf.disable_v2_behavior is deprecated. Please use tf.compat.v1.disable_v2_behavior instead.
08:47:58:SoundClassifierTF: WARNING:tensorflow:From C:\Program Files\CodeProject\AI\modules\SoundClassifierTF\bin\windows\python39\venv\lib\site-packages\tensorflow\python\compat\v2_compat.py:108: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
08:47:58:SoundClassifierTF: Instructions for updating:
08:47:58:SoundClassifierTF: non-resource variables are not supported in the long term
08:47:58:SoundClassifierTF: WARNING:tensorflow:From C:\Program Files\CodeProject\AI\modules\SoundClassifierTF\sound_classification.py:16: The name tf.logging.set_verbosity is deprecated. Please use tf.compat.v1.logging.set_verbosity instead.
08:48:01:SoundClassifierTF: 2024-05-15 08:48:01.022855: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
08:48:01:SoundClassifierTF: To enable the following instructions: SSE SSE2 SSE3 SSE4.1 SSE4.2 AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
08:48:01:SoundClassifierTF: C:\Program Files\CodeProject\AI\modules\SoundClassifierTF\bin\windows\python39\venv\lib\site-packages\tensorflow\python\keras\engine\base_layer_v1.py:1697: UserWarning: `layer.apply` is deprecated and will be removed in a future version. Please use `layer.__call__` method instead.
08:48:01:SoundClassifierTF: warnings.warn('`layer.apply` is deprecated and '
08:48:01:SoundClassifierTF: C:\Program Files\CodeProject\AI\modules\SoundClassifierTF\bin\windows\python39\venv\lib\site-packages\tensorflow\python\keras\legacy_tf_layers\core.py:318: UserWarning: `tf.layers.flatten` is deprecated and will be removed in a future version. Please use `tf.keras.layers.Flatten` instead.
08:48:01:SoundClassifierTF: warnings.warn('`tf.layers.flatten` is deprecated and '
08:48:01:SoundClassifierTF: 2024-05-15 08:48:01.364607: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:388] MLIR V1 optimization pass is not enabled
08:48:02:SoundClassifierTF: C:\Program Files\CodeProject\AI\modules\SoundClassifierTF\bin\windows\python39\venv\lib\site-packages\tensorflow\python\keras\engine\base_layer_v1.py:1697: UserWarning: `layer.apply` is deprecated and will be removed in a future version. Please use `layer.__call__` method instead.
08:48:02:SoundClassifierTF: warnings.warn('`layer.apply` is deprecated and '
|
|
|
|
|
The sound classifier is a Tensorflow 1 project ported (semi-ported!) to Tensorflow 2. Those warnings are just warnings and can be safely ignored. It needs a proper rewriting.
cheers
Chris Maunder
|
|
|
|
|
Hello all, everytime i try to install any of the modules i get a Error in install:404
thought maybe it was a issue with my firewall that im using UFW. im running ubuntu server 24.04
not sure if there is more ports i need to open other then the port that code project uses 32168
Server version: 2.6.4
System: Linux
Operating System: Linux (Ubuntu 24.04)
CPUs: 12th Gen Intel(R) Core(TM) i7-12700K (Intel)
1 CPU x 12 cores. 20 logical processors (x64)
GPU (Primary): NVIDIA GeForce RTX 2060 (6 GiB) (NVIDIA)
Driver: 535.161.08, CUDA: 12.2 (up to: 12.2), Compute: 7.5, cuDNN:
System RAM: 31 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.18
.NET SDK: 7.0.118
Default Python: 3.12.3
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
TU104 [GeForce RTX 2060] (rev a1):
Driver Version
Video Processor
System GPU info:
GPU 3D Usage 10%
GPU RAM Usage 1.5 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
|
|
|
|
|
Try starting the server directly
sudo bash /usr/bin/codeproject.ai-server-2.6.4/start.sh
cheers
Chris Maunder
|
|
|
|
|
tryed starting codeproject from terminal and still get the same 404 errors
|
|
|
|
|
Ok, so i got
Training for YoloV5 6.2 to install via Agent DVR, but on the codeproject side i got a bunch of python errors
14:06:07:Started Training for YoloV5 6.2 module
14:06:10:training_objectdetection_YOLOv5_adapter.py: Initializing YoloV5DatasetCreator. Retries left: 3
14:06:10:training_objectdetection_YOLOv5_adapter.py: Traceback (most recent call last):
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/odm/database.py", line 200, in establish_db_conn
14:06:10:training_objectdetection_YOLOv5_adapter.py: _db_service = fos.DatabaseService()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 80, in __init__
14:06:10:training_objectdetection_YOLOv5_adapter.py: self.start()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 209, in start
14:06:10:training_objectdetection_YOLOv5_adapter.py: super().start()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 118, in start
14:06:10:training_objectdetection_YOLOv5_adapter.py: + self.command,
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 238, in command
14:06:10:training_objectdetection_YOLOv5_adapter.py: DatabaseService.find_mongod(),
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 286, in find_mongod
14:06:10:training_objectdetection_YOLOv5_adapter.py: raise ServiceExecutableNotFound("Could not find `mongod`")
14:06:10:training_objectdetection_YOLOv5_adapter.py: fiftyone.core.service.ServiceExecutableNotFound: Could not find `mongod`
14:06:10:training_objectdetection_YOLOv5_adapter.py: During handling of the above exception, another exception occurred:
14:06:10:training_objectdetection_YOLOv5_adapter.py: Traceback (most recent call last):
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone_dataset_creator.py", line 51, in init_fiftyone
14:06:10:training_objectdetection_YOLOv5_adapter.py: import fiftyone.zoo as foz
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/__init__.py", line 25, in
14:06:10:training_objectdetection_YOLOv5_adapter.py: from fiftyone.__public__ import *
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/__public__.py", line 16, in
14:06:10:training_objectdetection_YOLOv5_adapter.py: _foo.establish_db_conn(config)
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/odm/database.py", line 206, in establish_db_conn
14:06:10:training_objectdetection_YOLOv5_adapter.py: raise FiftyOneConfigError(
14:06:10:training_objectdetection_YOLOv5_adapter.py: fiftyone.core.config.FiftyOneConfigError: MongoDB could not be installed on your system. Please define a `database_uri` in your `fiftyone.core.config.FiftyOneConfig` to connect to yourown MongoDB instance or cluster
14:06:10:training_objectdetection_YOLOv5_adapter.py: During handling of the above exception, another exception occurred:
14:06:10:training_objectdetection_YOLOv5_adapter.py: Traceback (most recent call last):
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/training_objectdetection_YOLOv5_adapter.py", line 92, in initialise
14:06:10:training_objectdetection_YOLOv5_adapter.py: self.dataset_creator = YoloV5DatasetCreator(self,
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone_dataset_creator.py", line 30, in __init__
14:06:10:training_objectdetection_YOLOv5_adapter.py: self.init_fiftyone()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone_dataset_creator.py", line 54, in init_fiftyone
14:06:10:training_objectdetection_YOLOv5_adapter.py: shutil.rmtree(fiftyone_path)
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/lib/python3.8/shutil.py", line 709, in rmtree
14:06:10:training_objectdetection_YOLOv5_adapter.py: onerror(os.lstat, path, sys.exc_info())
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/lib/python3.8/shutil.py", line 707, in rmtree
14:06:10:training_objectdetection_YOLOv5_adapter.py: orig_st = os.lstat(path)
14:06:10:training_objectdetection_YOLOv5_adapter.py: FileNotFoundError: [Errno 2] No such file or directory: '/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone'
14:06:10:training_objectdetection_YOLOv5_adapter.py: Initializing YoloV5DatasetCreator. Retries left: 2
14:06:10:training_objectdetection_YOLOv5_adapter.py: Traceback (most recent call last):
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/odm/database.py", line 200, in establish_db_conn
14:06:10:training_objectdetection_YOLOv5_adapter.py: _db_service = fos.DatabaseService()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 80, in __init__
14:06:10:training_objectdetection_YOLOv5_adapter.py: self.start()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 209, in start
14:06:10:training_objectdetection_YOLOv5_adapter.py: super().start()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 118, in start
14:06:10:training_objectdetection_YOLOv5_adapter.py: + self.command,
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 238, in command
14:06:10:training_objectdetection_YOLOv5_adapter.py: DatabaseService.find_mongod(),
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 286, in find_mongod
14:06:10:training_objectdetection_YOLOv5_adapter.py: raise ServiceExecutableNotFound("Could not find `mongod`")
14:06:10:training_objectdetection_YOLOv5_adapter.py: fiftyone.core.service.ServiceExecutableNotFound: Could not find `mongod`
14:06:10:training_objectdetection_YOLOv5_adapter.py: During handling of the above exception, another exception occurred:
14:06:10:training_objectdetection_YOLOv5_adapter.py: Traceback (most recent call last):
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone_dataset_creator.py", line 51, in init_fiftyone
14:06:10:training_objectdetection_YOLOv5_adapter.py: import fiftyone.zoo as foz
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/__init__.py", line 25, in
14:06:10:training_objectdetection_YOLOv5_adapter.py: from fiftyone.__public__ import *
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/__public__.py", line 16, in
14:06:10:training_objectdetection_YOLOv5_adapter.py: _foo.establish_db_conn(config)
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/odm/database.py", line 206, in establish_db_conn
14:06:10:training_objectdetection_YOLOv5_adapter.py: raise FiftyOneConfigError(
14:06:10:training_objectdetection_YOLOv5_adapter.py: fiftyone.core.config.FiftyOneConfigError: MongoDB could not be installed on your system. Please define a `database_uri` in your `fiftyone.core.config.FiftyOneConfig` to connect to yourown MongoDB instance or cluster
14:06:10:training_objectdetection_YOLOv5_adapter.py: During handling of the above exception, another exception occurred:
14:06:10:training_objectdetection_YOLOv5_adapter.py: Traceback (most recent call last):
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/training_objectdetection_YOLOv5_adapter.py", line 92, in initialise
14:06:10:training_objectdetection_YOLOv5_adapter.py: self.dataset_creator = YoloV5DatasetCreator(self,
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone_dataset_creator.py", line 30, in __init__
14:06:10:training_objectdetection_YOLOv5_adapter.py: self.init_fiftyone()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone_dataset_creator.py", line 54, in init_fiftyone
14:06:10:training_objectdetection_YOLOv5_adapter.py: shutil.rmtree(fiftyone_path)
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/lib/python3.8/shutil.py", line 709, in rmtree
14:06:10:training_objectdetection_YOLOv5_adapter.py: onerror(os.lstat, path, sys.exc_info())
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/lib/python3.8/shutil.py", line 707, in rmtree
14:06:10:training_objectdetection_YOLOv5_adapter.py: orig_st = os.lstat(path)
14:06:10:training_objectdetection_YOLOv5_adapter.py: FileNotFoundError: [Errno 2] No such file or directory: '/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone'
14:06:10:training_objectdetection_YOLOv5_adapter.py: Initializing YoloV5DatasetCreator. Retries left: 1
14:06:10:training_objectdetection_YOLOv5_adapter.py: Traceback (most recent call last):
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/odm/database.py", line 200, in establish_db_conn
14:06:10:training_objectdetection_YOLOv5_adapter.py: _db_service = fos.DatabaseService()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 80, in __init__
14:06:10:training_objectdetection_YOLOv5_adapter.py: self.start()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 209, in start
14:06:10:training_objectdetection_YOLOv5_adapter.py: super().start()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 118, in start
14:06:10:training_objectdetection_YOLOv5_adapter.py: + self.command,
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 238, in command
14:06:10:training_objectdetection_YOLOv5_adapter.py: DatabaseService.find_mongod(),
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/service.py", line 286, in find_mongod
14:06:10:training_objectdetection_YOLOv5_adapter.py: raise ServiceExecutableNotFound("Could not find `mongod`")
14:06:10:training_objectdetection_YOLOv5_adapter.py: fiftyone.core.service.ServiceExecutableNotFound: Could not find `mongod`
14:06:10:training_objectdetection_YOLOv5_adapter.py: During handling of the above exception, another exception occurred:
14:06:10:training_objectdetection_YOLOv5_adapter.py: Traceback (most recent call last):
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone_dataset_creator.py", line 51, in init_fiftyone
14:06:10:training_objectdetection_YOLOv5_adapter.py: import fiftyone.zoo as foz
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/__init__.py", line 25, in
14:06:10:training_objectdetection_YOLOv5_adapter.py: from fiftyone.__public__ import *
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/__public__.py", line 16, in
14:06:10:training_objectdetection_YOLOv5_adapter.py: _foo.establish_db_conn(config)
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/bin/linux/python38/venv/lib/python3.8/site-packages/fiftyone/core/odm/database.py", line 206, in establish_db_conn
14:06:10:training_objectdetection_YOLOv5_adapter.py: raise FiftyOneConfigError(
14:06:10:training_objectdetection_YOLOv5_adapter.py: fiftyone.core.config.FiftyOneConfigError: MongoDB could not be installed on your system. Please define a `database_uri` in your `fiftyone.core.config.FiftyOneConfig` to connect to yourown MongoDB instance or cluster
14:06:10:training_objectdetection_YOLOv5_adapter.py: During handling of the above exception, another exception occurred:
14:06:10:training_objectdetection_YOLOv5_adapter.py: Traceback (most recent call last):
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/training_objectdetection_YOLOv5_adapter.py", line 92, in initialise
14:06:10:training_objectdetection_YOLOv5_adapter.py: self.dataset_creator = YoloV5DatasetCreator(self,
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone_dataset_creator.py", line 30, in __init__
14:06:10:training_objectdetection_YOLOv5_adapter.py: self.init_fiftyone()
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone_dataset_creator.py", line 54, in init_fiftyone
14:06:10:training_objectdetection_YOLOv5_adapter.py: shutil.rmtree(fiftyone_path)
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/lib/python3.8/shutil.py", line 709, in rmtree
14:06:10:training_objectdetection_YOLOv5_adapter.py: onerror(os.lstat, path, sys.exc_info())
14:06:10:training_objectdetection_YOLOv5_adapter.py: File "/usr/lib/python3.8/shutil.py", line 707, in rmtree
14:06:10:training_objectdetection_YOLOv5_adapter.py: orig_st = os.lstat(path)
14:06:10:training_objectdetection_YOLOv5_adapter.py: FileNotFoundError: [Errno 2] No such file or directory: '/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone'
14:06:10:training_objectdetection_YOLOv5_adapter.py: An exception occurred initialising the module: [Errno 2] No such file or directory: '/usr/bin/codeproject.ai-server-2.6.4/modules/TrainingObjectDetectionYOLOv5/fiftyone'
codeproject is installed on the same mechine that agent dvr is
|
|
|
|
|
Quote: Operating System: Linux (Ubuntu 24.04)
First: how is 24.04? I've not updated my system yet (waiting till August for RTM) but I'd be interested in your take.
Second, the error is that MongoDB can't be installed. I'm guessing this is related to 24.04 given the 24.04 release notes specifically state there will be app incompatibilities until full release in August.
cheers
Chris Maunder
|
|
|
|
|
Hello,
I have been having this issue where I do not get motion alert at night, even though AI detects a car in my driveway at over 90%, but then it says "nothing found" and I do not get an alert.
My son comes home at night around 2am, so I am able to test this very regularly.
This only happens at night. My driveway is very well lit and very clear. Some nights it works fine and other nights it's a complete miss.
Why would AI not send an alert if it sees a car at 93%, but other other times it will send it?
My CPU hovers around 8-10% with 8 cameras and I use sub streams. I also have 16 Gigs of ram.. so I doubt it's a system limitation.
Any ideas?
|
|
|
|
|
The first question I have is whether you are using BlueIris or AgentDVR. I use AgentDVR.
If you are using AgentDVR, you can check its logging around that time (2am or whenever the car shows up). See what the log says when the car arrives.
If the logs do not say anything about that time, it could be that the motion detection did not go off at all. This means that when the car arrived, the motion it caused on the camera was not enough to trigger the motion detection. In this case, you would need to increase the sensitivity of the motion detector for the camera so that it would trigger.
There could be other reasons too, but I think you can start with checking the log and seeing what it says. My suggestion above is based on my own experience.
And, your system is fine based on your description.
modified 13-May-24 7:28am.
|
|
|
|
|
I use Blue Iris. The other thing is sometimes it says nothing found, but other times it detects the car, but it will not send a motion alert. It's like nothing happened in front of the camera. It won't say nothing found or cancelled motion... just does nothing.
It seemed like it just completely ignored the motion, but you can clearly see it was tracking it using "Analyze with AI".
This is very odd, but like I said, it only happens at night.
|
|
|
|
|
I see. Unfortunately, I don't know about BlueIris, so my suggestion might not help solve the problem. However, you could check the settings for the motion detector, the schedule of the detector (if there is one), the confidence setting of the AI, etc.
I think the best way to debug this is to test it on the spot. Have someone go in front of the camera to trigger the motion detector at the time when you are having problems with the detection, while another person is on BlueIris testing different settings to figure out what is wrong.
Hopefully it helps.
|
|
|
|
|
This sounds like a Blue Iris issue, rather than a detection issue. Is that correct?
cheers
Chris Maunder
|
|
|
|
|