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Version 2.5.4 has been working quite well for me in GPU mode.
Blue Iris making the API calls with ipcam-combined
I have noticed a runtime error two times. No major problems and the system keeps running just fine.
Just thought I would post the traceback as feedback for the developers.
Thank you for all of your time and work.
12:39:33: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 75, in forward
wh = (wh * 2) ** 2 * self.anchor_grid[i] # wh
RuntimeError: The size of tensor a (48) must match the size of tensor b (80) at non-singleton dimension 3
modified 5-Mar-24 11:42am.
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Thanks very much for your report. Is the module still working for you?
Also, could you please share your System Info tab from your CodeProject.AI Server dashboard?
Thanks,
Sean Ewington
CodeProject
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Yes it works great, only see that error a couple times a day.
YOLO5 6.2
Today 51718 inferences
Only 2 errors
average time 113.8
Server version: 2.5.4
System: Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs: Intel(R) Core(TM) i7-4790K CPU @ 4.00GHz (Intel)
1 CPU x 4 cores. 8 logical processors (x64)
GPU (Primary): NVIDIA GeForce GTX 1650 (4 GiB) (NVIDIA)
Driver: 536.23, CUDA: 12.2 (up to: 12.2), Compute: 7.5, cuDNN: 8.5
System RAM: 32 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.5
Default Python:
Video adapter info:
Intel(R) HD Graphics 4600:
Driver Version 20.19.15.4624
Video Processor Intel(R) HD Graphics Family
Microsoft Remote Display Adapter:
Driver Version 10.0.19041.3636
Video Processor
NVIDIA GeForce GTX 1650:
Driver Version 31.0.15.3623
Video Processor NVIDIA GeForce GTX 1650
System GPU info:
GPU 3D Usage 11%
GPU RAM Usage 3.3 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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Since updating to 2.5.4 I'm getting lots of false positive. In Blue Iris I have confidence adjusted from what used to be 60% all the way to 75% and it's still triggering. How is that 76% a person?
modified 4-Mar-24 16:30pm.
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I never go under 80% on my cameras and i'm on huge model. False positives are very rare.
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I had the same issue too - I went back to 2.5.1. I have since switched to 2.5.6 and I updated the AI settings in blue iris which has kind of worked... but something has definitely changed since 2.5.1!
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Thanks very much for your report. Could you please share your Blue Iris main AI settings and Artificial Intelligence settings?
Thanks,
Sean Ewington
CodeProject
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Which object detection module are you using, and what model size do you have selected?
cheers
Chris Maunder
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What module and what size model are you using?
cheers
Chris Maunder
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I have 2 Blueiris installations with CodeProject running on each Blueiris server both servers are now on Blueiris 5.8.7.9. With CodeProject 5.2.1 things worked mostly fine, but when I upgraded to 5.2.4 I started getting the error below and AI_Timeout 500 errors in Blueiris. I was hoping upgrading to 5.2.5 would fix it, but as well know now that version had issues. so I went to 5.2.6 but I am still having the same issue.
Object Detection (YOLOv5 6.2): Unable to create YOLO detector for model yolov5m
14:46:42:Object Detection (YOLOv5 6.2): [RuntimeError] : Unable to load model at C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2\assets\yolov5m.pt (CUDA error: CUDA-capable device(s) is/are busy or unavailable
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.)
modified 12-Mar-24 16:09pm.
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Any guidance on this? AI is totally non-functional for my installs, thanks in advance for any suggestions on what to try.
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Thanks very much for the report. Could you please share your System Info tab from your CodeProject.AI Server dashboard? Also curious to know what happens if you use the CodeProject.AI Server Explorer to manually test the Object Detection module. Does it ever fail?
Thanks,
Sean Ewington
CodeProject
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Below is the system info. As for the test from Explorer, it does not fail perse, but I tried about 7 different pictures, and the result was always the same: "No predictions returned"
Server version: 2.5.6
System: Windows
Operating System: Windows (Microsoft Windows 10.0.20348)
CPUs: Intel(R) Xeon(R) CPU E5-2697A v4 @ 2.60GHz (Intel)
2 CPUs x 8 cores. 8 logical processors (x64)
GPU (Primary): NVIDIA GRID P4-8A (8 GiB) (NVIDIA)
Driver: 30.0.15.1278
System RAM: 48 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.16
.NET SDK: Not found
Default Python: Not found
Go: Not found
NodeJS: 20.9.0
Video adapter info:
NVIDIA GRID P4-8A:
Driver Version 30.0.15.1278
Video Processor GRID P4-8A
VMware SVGA 3D:
Driver Version 9.17.6.5
Video Processor VMware Virtual SVGA 3D Graphics Adapter
System GPU info:
GPU 3D Usage 1%
GPU RAM Usage 70 MiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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Could you please try un-installing and reinstalling the module? If the Explorer still says "No predictions returned" could you please share the module install info? You can get it by clicking Info on the module on the CodeProject.AI Server dashboard.
Thanks,
Sean Ewington
CodeProject
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I uninstalled and reinstalled then tried again, I still get "No predictions returned" The module info is below.
Module 'Object Detection (YOLOv5 6.2)' 1.9.1 (ID: ObjectDetectionYOLOv5-6.2)
Valid: True
Module Path: <root>\modules\ObjectDetectionYOLOv5-6.2
AutoStart: True
Queue: objectdetection_queue
Runtime: python3.7
Runtime Loc: Shared
FilePath: detect_adapter.py
Pre installed: False
Start pause: 1 sec
Parallelism: 0
LogVerbosity:
Platforms: all,!raspberrypi,!jetson
GPU Libraries: installed if available
GPU Enabled: enabled
Accelerator:
Half Precis.: enable
Environment Variables
APPDIR = <root>\modules\ObjectDetectionYOLOv5-6.2
CUSTOM_MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\custom-models
MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-6.2\assets
MODEL_SIZE = Medium
USE_CUDA = True
YOLOv5_AUTOINSTALL = false
YOLOv5_VERBOSE = false
Status Data: {
"inferenceDevice": "GPU",
"inferenceLibrary": "CUDA",
"canUseGPU": "true",
"successfulInferences": 0,
"failedInferences": 111,
"numInferences": 111,
"averageInferenceMs": 0
}
Started: 05 Mar 2024 12:07:22 PM Eastern Standard Time
LastSeen: 05 Mar 2024 12:27:45 PM Eastern Standard Time
Status: Started
Requests: 120 (includes status calls)
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Are there any ideas on this? I'm not having any luck getting it working myself.
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I removed everything except for BlueIris and reinstalled. So my drivers, CUDA, CUDNN and CodeProject were all reinstalled from scratch. Unfortunately it did not make any difference. I am still getting all the same errors. Here is my current System Info. Please let me know what else I can provide to help figure this out.
Server version: 2.5.6
System: Windows
Operating System: Windows (Microsoft Windows 10.0.20348)
CPUs: Intel(R) Xeon(R) CPU E5-2697A v4 @ 2.60GHz (Intel)
2 CPUs x 8 cores. 8 logical processors (x64)
GPU (Primary): GRID P4-8A (8 GiB) (NVIDIA)
Driver: 538.33, CUDA: 12.2 (up to: 12.2), Compute: 6.1, cuDNN: 8.5
System RAM: 48 GiB
Platform: Windows
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
Runtimes installed:
.NET runtime: 7.0.16
.NET SDK: Not found
Default Python: Not found
Go: Not found
NodeJS: 20.9.0
Video adapter info:
NVIDIA GRID P4-8A:
Driver Version 31.0.15.3833
Video Processor GRID P4-8A
VMware SVGA 3D:
Driver Version 9.17.6.5
Video Processor VMware Virtual SVGA 3D Graphics Adapter
System GPU info:
GPU 3D Usage 0%
GPU RAM Usage 1.2 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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I don't think this is normal...
radiocooke wrote: .NET SDK: Not found
Default Python: Not found
Go: Not found
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I'm not sure. Both of my installs show that, but neither is working, so I suppose that could be related. Unfortunately I don't have another machine to install on to see if the status looks different.
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Could you check that the file C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2\assets\yolov5m.pt exists
"Mistakes are prevented by Experience. Experience is gained by making mistakes."
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yolov5m.pt is present on both systems, the file size and date appears to be consistent (modified 09/28/2021 / 42,925KB)
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I took a picture from one of my BlueIris alerts and tried Object detection in explorer. For both systems where I am having issues object detection immediately reports back "No predictions returned" I took the same picture and ran it through object detection on a temp machine I threw an OS and CodeProject on just to see what would happen and it works perfectly, it correctly detected a person, a car, even a backpack. I installed CodeProject exactly the same way on all 3 systems and the OS is the same, the only difference is the hardware. I can't imagine why the Tesla GPU would cause this but it's starting to feel like that's part of my issue.
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I'm not sure if this is normal but when I run nvidia-smi I get:
NVIDIA-SMI 538.33 Driver Version: 538.33 CUDA Version: 12.2
and when I run nvcc --version, I get
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:41:10_Pacific_Daylight_Time_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.31833905_0
I only ever installed CUDA 11.8 as recommended in the guide here, I'm sure why smi is reporting back 12.2
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nvcc reports the version of CUDA in use by the system (as defined by the PATH settings).
nvidia-smi reports the max version of CUDA supported by the driver.
That's all fine.
On the Tesla equipped machine: can you try disabling half-precision for that module via the CodeProject dashboard?
cheers
Chris Maunder
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Having trouble with ALPR on Ubuntu 22.04 CPAI version 2.5.4
Is gpu supported on Linux?
Thank you
Adding info:
Server version: 2.5.4
System: Linux
Operating System: Linux (Ubuntu 22.04)
CPUs: Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz (Intel)
1 CPU x 4 cores. 8 logical processors (x64)
GPU (Primary): NVIDIA GeForce GTX 1650 (4 GiB) (NVIDIA)
Driver: 535.154.05, CUDA: 12.2 (up to: 12.2), Compute: 7.5, cuDNN: 9.0.0
System RAM: 4 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Native
Runtime Env: Production
.NET framework: .NET 7.0.16
Default Python: 3.10
Go Version:
Video adapter info:
Xeon E3-1200 v3/4th Gen Core Processor Integrated Graphics Controller (rev 06):
Driver Version
Video Processor
TU117 [GeForce GTX 1650] (rev a1):
Driver Version
Video Processor
System GPU info:
GPU 3D Usage 3%
GPU RAM Usage 1.5 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Logs
17:35:05:Preparing to install module 'ALPR'
17:35:05:Downloading module 'ALPR'
17:35:06:Installing module 'ALPR'
17:35:06:ALPR: Setting verbosity to loud
17:35:06:ALPR: Installing CodeProject.AI Analysis Module
17:35:06:ALPR: ======================================================================
17:35:06:ALPR: CodeProject.AI Installer
17:35:06:ALPR: ======================================================================
17:35:06:ALPR: 9.08 GiB of 40.01 GiB available on linux
17:35:06:ALPR: os, arch = linux x86_64
17:35:06:ALPR: systemName, platform = linux, linux
17:35:06:ALPR: SSH = false
17:35:06:ALPR: setupMode = InstallModule
17:35:06:ALPR: executionEnvironment = Production
17:35:06:ALPR: rootDirPath = /usr/bin/codeproject.ai-server-2.5.4
17:35:06:ALPR: appRootDirPath = /usr/bin/codeproject.ai-server-2.5.4
17:35:06:ALPR: setupScriptDirPath = /usr/bin/codeproject.ai-server-2.5.4
17:35:06:ALPR: sdkScriptsDirPath = /usr/bin/codeproject.ai-server-2.5.4/SDK/Scripts
17:35:06:ALPR: runtimesDirPath = /usr/bin/codeproject.ai-server-2.5.4/runtimes
17:35:06:ALPR: modulesDirPath = /usr/bin/codeproject.ai-server-2.5.4/modules
17:35:06:ALPR: downloadDirPath = /usr/bin/codeproject.ai-server-2.5.4/downloads
17:35:06:ALPR: Installing xz-utils...
17:35:06:ALPR: WARNING: aptWARNING: aptdoes not have a stable CLI interface. Use with caution in scripts.does not have a stable CLI interface.
17:35:06:ALPR: Use with caution in scripts.
17:35:06:ALPR: Hit:1 http:
17:35:06:ALPR: Hit:2 http:
17:35:06:ALPR: Hit:3 http:
17:35:06:ALPR: Hit:4 https:
17:35:06:ALPR: Hit:5 http:
17:35:06:ALPR: Hit:6 https:
17:35:06:ALPR: Hit:7 https:
17:35:06:ALPR: General CodeProject.AI setup
17:35:06:ALPR: Setting permissions on downloads folder...Done
17:35:06:ALPR: Setting permissions on runtimes folder...Done
17:35:06:ALPR: Setting permissions on persisted data folder...Done
17:35:06:ALPR: GPU support
17:35:06:ALPR: CUDA (NVIDIA) Present: Yes (CUDA 11.8, cuDNN 9.0.0)
17:35:06:ALPR: ROCm (AMD) Present: No
17:35:06:ALPR: MPS (Apple) Present: No
17:35:06:ALPR: Reading module settingsReading package lists....Modules.ALPR.Name is License Plate Reader in modulesettings.json
17:35:06:ALPR: ..Modules.ALPR.Version is 3.0.2 in modulesettings.json
17:35:06:ALPR: ..Modules.ALPR.LaunchSettings.Runtime is python3.8 in modulesettings.json
17:35:06:ALPR: ..Modules.ALPR.LaunchSettings.RuntimeLocation is Local in modulesettings.json
17:35:07:ALPR: ..Modules.ALPR.LaunchSettings.FilePath is ALPR_adapter.py in modulesettings.json
17:35:07:ALPR: ..Modules.ALPR.GpuOptions.InstallGPU is false in modulesettings.linux.json
17:35:07:ALPR: ..Modules.ALPR.InstallOptions.Platforms is [ "all" ] in modulesettings.json
17:35:07:ALPR: .Done
17:35:07:ALPR: Processing module ALPR 3.0.2
17:35:07:ALPR: moduleName = License Plate Reader
17:35:07:ALPR: moduleVersion = 3.0.2
17:35:07:ALPR: runtime = python3.8
17:35:07:ALPR: runtimeLocation = Local
17:35:07:ALPR: installGPU = false
17:35:07:ALPR: pythonVersion = 3.8
17:35:07:ALPR: virtualEnvDirPath = /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv
17:35:07:ALPR: venvPythonCmdPath = /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/bin/python3.8
17:35:07:ALPR: packagesDirPath = /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/
17:35:07:ALPR: Installing Python 3.8
17:35:07:ALPR: Python install path is /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38
17:35:07:ALPR: Python 3.8 is already installed
17:35:07:ALPR: Ensuring PIP in base python install...Reading package lists...
17:35:07:ALPR: Building dependency tree...
17:35:07:ALPR: Reading state information...
17:35:07:ALPR: All packages are up to date.
17:35:08:ALPR: W: https:
17:35:08:ALPR: Building dependency tree...
17:35:08:ALPR: Reading state information...
17:35:08:ALPR: 0 upgraded, 0 newly installed, 1 reinstalled, 0 to remove and 0 not upgraded.
17:35:08:ALPR: Need to get 0 B/193 kB of archives.
17:35:08:ALPR: After this operation, 0 B of additional disk space will be used.
17:35:09:ALPR: (Reading database ...
17:35:09:ALPR: (Reading database ... 5%
17:35:09:ALPR: (Reading database ... 10%
17:35:09:ALPR: (Reading database ... 15%
17:35:09:ALPR: (Reading database ... 20%
17:35:09:ALPR: (Reading database ... 25%
17:35:09:ALPR: (Reading database ... 30%
17:35:09:ALPR: (Reading database ... 35%
17:35:09:ALPR: (Reading database ... 40%
17:35:09:ALPR: (Reading database ... 45%
17:35:09:ALPR: (Reading database ... 50%
17:35:09:ALPR: (Reading database ... 55%
17:35:09:ALPR: (Reading database ... 60%
17:35:09:ALPR: (Reading database ... 65%
17:35:09:ALPR: (Reading database ... 70%
17:35:09:ALPR: (Reading database ... 75%
17:35:09:ALPR: (Reading database ... 80%
17:35:09:ALPR: (Reading database ... 85%
17:35:09:ALPR: (Reading database ... 90%
17:35:09:ALPR: (Reading database ... 95%
17:35:09:ALPR: (Reading database ... 100%
17:35:09:ALPR: (Reading database ... 84385 files and directories currently installed.)
17:35:09:ALPR: Preparing to unpack .../python3.8-distutils_3.8.18-1+jammy1_all.deb ...
17:35:10:ALPR: Unpacking python3.8-distutils (3.8.18-1+jammy1) over (3.8.18-1+jammy1) ...
17:35:10:ALPR: Setting up python3.8-distutils (3.8.18-1+jammy1) ...
17:35:10:ALPR: /usr/bin/codeproject.ai-server-2.5.4/SDK/Scripts/utils.sh: line 1181: /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/bin/python3.8: No such file or directory
17:35:10:ALPR: done
17:35:10:ALPR: Upgrading PIP in base python install...Requirement already satisfied: pip in /usr/local/lib/python3.8/dist-packages (24.0)
17:35:10:ALPR: 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:
17:35:10:ALPR: done
17:35:10:ALPR: Installing Virtual Environment tools for Linux...
17:35:10:ALPR: Searching for installed dependencies:
17:35:11:ALPR: -> python3-pip python3-setuptools python3.8-venv Done
17:35:11:ALPR: All dependencies already installed.
17:35:11:ALPR: Creating Virtual Environment (Local)...Install path is /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38
17:35:14:ALPR: Done
17:35:14:ALPR: Checking for Python 3.8...(Found Python 3.8.18) All good
17:35:17:ALPR: Upgrading PIP in virtual environment... done
17:35:19:ALPR: Installing updated setuptools in venv... Done
17:35:19:ALPR: Downloading ocr-en-pp_ocrv4-paddle.zip to /usr/bin/codeproject.ai-server-2.5.4/downloads/ALPR
17:35:19:ALPR: Extracting to paddleocr in this folder
17:35:19:ALPR: Downloading OCR models... already exists...Expanding...Archive: ocr-en-pp_ocrv4-paddle.zip
17:35:19:ALPR: inflating: paddleocr/ch_ppocr_mobile_v2.0_cls_infer/inference.pdiparams
17:35:19:ALPR: inflating: paddleocr/ch_ppocr_mobile_v2.0_cls_infer/inference.pdiparams.info
17:35:19:ALPR: inflating: paddleocr/ch_ppocr_mobile_v2.0_cls_infer/inference.pdmodel
17:35:19:ALPR: inflating: paddleocr/en_PP-OCRv3_det_infer/inference.pdiparams
17:35:19:ALPR: inflating: paddleocr/en_PP-OCRv3_det_infer/inference.pdiparams.info
17:35:19:ALPR: inflating: paddleocr/en_PP-OCRv3_det_infer/inference.pdmodel
17:35:19:ALPR: creating: paddleocr/en_PP-OCRv4_rec_infer/
17:35:19:ALPR: inflating: paddleocr/en_PP-OCRv4_rec_infer/inference.pdiparams
17:35:19:ALPR: inflating: paddleocr/en_PP-OCRv4_rec_infer/inference.pdiparams.info
17:35:19:ALPR: inflating: paddleocr/en_PP-OCRv4_rec_infer/inference.pdmodel
17:35:19:ALPR: Done.
17:35:19:ALPR: Moving contents of ocr-en-pp_ocrv4-paddle.zip to paddleocr...done.
17:35:19:ALPR: Installing Python packages for License Plate Reader
17:35:19:ALPR: Installing GPU-enabled libraries: No
17:35:19:ALPR: Ensuring PIP is installed and up to date...
17:35:19:ALPR: Searching for installed dependencies:
17:35:19:ALPR: -> python3-pip Done
17:35:19:ALPR: All dependencies already installed.
17:35:19:ALPR: Ensuring PIP compatibility ...
17:35:20:ALPR: Looking in links: /tmp/tmp75yep611
17:35:20:ALPR: Requirement already satisfied: setuptools in ./bin/linux/python38/venv/lib/python3.8/site-packages (69.1.1)
17:35:20:ALPR: Requirement already satisfied: pip in ./bin/linux/python38/venv/lib/python3.8/site-packages (24.0)
17:35:20:ALPR: Python packages will be specified by requirements.linux.txt
17:35:21:ALPR: - Installing PaddelPaddle, the Deep Learning platform...Checking ...Check done...Installing paddlepaddle==2.6.0...Collecting paddlepaddle==2.6.0
17:35:21:ALPR: Using cached paddlepaddle-2.6.0-cp38-cp38-manylinux1_x86_64.whl.metadata (8.6 kB)
17:35:21:ALPR: Collecting httpx (from paddlepaddle==2.6.0)
17:35:21:ALPR: Using cached httpx-0.27.0-py3-none-any.whl.metadata (7.2 kB)
17:35:22:ALPR: Collecting numpy>=1.13 (from paddlepaddle==2.6.0)
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17:35:22:ALPR: Collecting Pillow (from paddlepaddle==2.6.0)
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17:35:23:ALPR: Collecting httpcore==1.* (from httpx->paddlepaddle==2.6.0)
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17:35:25:ALPR: Installing collected packages: typing-extensions, sniffio, protobuf, Pillow, numpy, idna, h11, exceptiongroup, decorator, certifi, astor, opt-einsum, httpcore, anyio, httpx, paddlepaddle
17:35:35:ALPR: Successfully installed Pillow-10.2.0 anyio-4.3.0 astor-0.8.1 certifi-2024.2.2 decorator-5.1.1 exceptiongroup-1.2.0 h11-0.14.0 httpcore-1.0.4 httpx-0.27.0 idna-3.6 numpy-1.24.4 opt-einsum-3.3.0 paddlepaddle-2.6.0 protobuf-4.25.3 sniffio-1.3.1 typing-extensions-4.10.0
17:35:36:ALPR: (✅ checked) Done
17:35:38:ALPR: - Installing PaddleOCR, the OCR toolkit based on PaddlePaddle...Checking ...Check done...Installing paddleocr==2.7.0.3...Collecting paddleocr==2.7.0.3
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17:35:39:ALPR: Collecting lmdb (from paddleocr==2.7.0.3)
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17:35:40:ALPR: Collecting visualdl (from paddleocr==2.7.0.3)
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17:35:41:ALPR: Collecting opencv-python<=4.6.0.66 (from paddleocr==2.7.0.3)
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17:35:41:ALPR: Collecting cython (from paddleocr==2.7.0.3)
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17:35:42:ALPR: Collecting premailer (from paddleocr==2.7.0.3)
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17:35:42:ALPR: Collecting openpyxl (from paddleocr==2.7.0.3)
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17:35:42:ALPR: Collecting attrdict (from paddleocr==2.7.0.3)
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17:35:42:ALPR: Collecting PyMuPDF<1.21.0 (from paddleocr==2.7.0.3)
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17:35:42:ALPR: Collecting Pillow>=10.0.0 (from paddleocr==2.7.0.3)
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17:35:42:ALPR: Collecting python-docx (from paddleocr==2.7.0.3)
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17:35:43:ALPR: Collecting fire>=0.3.0 (from paddleocr==2.7.0.3)
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17:35:43:ALPR: Collecting scipy (from imgaug->paddleocr==2.7.0.3)
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17:35:44:ALPR: Collecting matplotlib (from imgaug->paddleocr==2.7.0.3)
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17:35:44:ALPR: Collecting imageio (from imgaug->paddleocr==2.7.0.3)
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17:35:44:ALPR: Collecting tifffile>=2022.8.12 (from scikit-image->paddleocr==2.7.0.3)
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17:35:44:ALPR: Collecting PyWavelets>=1.1.1 (from scikit-image->paddleocr==2.7.0.3)
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17:35:44:ALPR: Collecting packaging>=21 (from scikit-image->paddleocr==2.7.0.3)
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17:35:44:ALPR: Collecting lazy_loader>=0.2 (from scikit-image->paddleocr==2.7.0.3)
17:35:44:ALPR: Using cached lazy_loader-0.3-py3-none-any.whl.metadata (4.3 kB)
17:35:44:ALPR: Collecting et-xmlfile (from openpyxl->paddleocr==2.7.0.3)
17:35:44:ALPR: Using cached et_xmlfile-1.1.0-py3-none-any.whl.metadata (1.8 kB)
17:35:44:ALPR: Collecting opencv-python-headless>=4.5 (from pdf2docx->paddleocr==2.7.0.3)
17:35:44:ALPR: Using cached opencv_python_headless-4.9.0.80-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (20 kB)
17:35:44:ALPR: Collecting typing-extensions (from python-docx->paddleocr==2.7.0.3)
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17:35:44:ALPR: Collecting cssselect (from premailer->paddleocr==2.7.0.3)
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17:35:45:ALPR: Collecting cssutils (from premailer->paddleocr==2.7.0.3)
17:35:45:ALPR: Using cached cssutils-2.9.0-py3-none-any.whl.metadata (9.1 kB)
17:35:45:ALPR: Collecting requests (from premailer->paddleocr==2.7.0.3)
17:35:45:ALPR: Using cached requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)
17:35:45:ALPR: Collecting cachetools (from premailer->paddleocr==2.7.0.3)
17:35:45:ALPR: Using cached cachetools-5.3.3-py3-none-any.whl.metadata (5.3 kB)
17:35:45:ALPR: Collecting bce-python-sdk (from visualdl->paddleocr==2.7.0.3)
17:35:45:ALPR: Using cached bce_python_sdk-0.9.4-py3-none-any.whl.metadata (318 bytes)
17:35:45:ALPR: Collecting flask>=1.1.1 (from visualdl->paddleocr==2.7.0.3)
17:35:45:ALPR: Using cached flask-3.0.2-py3-none-any.whl.metadata (3.6 kB)
17:35:45:ALPR: Collecting Flask-Babel>=3.0.0 (from visualdl->paddleocr==2.7.0.3)
17:35:45:ALPR: Using cached flask_babel-4.0.0-py3-none-any.whl.metadata (1.9 kB)
17:35:45:ALPR: Collecting protobuf>=3.20.0 (from visualdl->paddleocr==2.7.0.3)
17:35:45:ALPR: Using cached protobuf-4.25.3-cp37-abi3-manylinux2014_x86_64.whl.metadata (541 bytes)
17:35:46:ALPR: Collecting pandas (from visualdl->paddleocr==2.7.0.3)
17:35:46:ALPR: Using cached pandas-2.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (18 kB)
17:35:46:ALPR: Collecting rarfile (from visualdl->paddleocr==2.7.0.3)
17:35:46:ALPR: Using cached rarfile-4.1-py3-none-any.whl.metadata (4.4 kB)
17:35:46:ALPR: Collecting psutil (from visualdl->paddleocr==2.7.0.3)
17:35:46:ALPR: Using cached psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (21 kB)
17:35:46:ALPR: Collecting Werkzeug>=3.0.0 (from flask>=1.1.1->visualdl->paddleocr==2.7.0.3)
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17:35:46:ALPR: Collecting Jinja2>=3.1.2 (from flask>=1.1.1->visualdl->paddleocr==2.7.0.3)
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17:35:46:ALPR: Collecting itsdangerous>=2.1.2 (from flask>=1.1.1->visualdl->paddleocr==2.7.0.3)
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17:35:46:ALPR: Collecting click>=8.1.3 (from flask>=1.1.1->visualdl->paddleocr==2.7.0.3)
17:35:46:ALPR: Using cached click-8.1.7-py3-none-any.whl.metadata (3.0 kB)
17:35:46:ALPR: Collecting blinker>=1.6.2 (from flask>=1.1.1->visualdl->paddleocr==2.7.0.3)
17:35:46:ALPR: Using cached blinker-1.7.0-py3-none-any.whl.metadata (1.9 kB)
17:35:46:ALPR: Collecting importlib-metadata>=3.6.0 (from flask>=1.1.1->visualdl->paddleocr==2.7.0.3)
17:35:46:ALPR: Using cached importlib_metadata-7.0.1-py3-none-any.whl.metadata (4.9 kB)
17:35:46:ALPR: Collecting Babel>=2.12 (from Flask-Babel>=3.0.0->visualdl->paddleocr==2.7.0.3)
17:35:46:ALPR: Using cached Babel-2.14.0-py3-none-any.whl.metadata (1.6 kB)
17:35:46:ALPR: Collecting pytz>=2022.7 (from Flask-Babel>=3.0.0->visualdl->paddleocr==2.7.0.3)
17:35:46:ALPR: Using cached pytz-2024.1-py2.py3-none-any.whl.metadata (22 kB)
17:35:47:ALPR: Collecting pycryptodome>=3.8.0 (from bce-python-sdk->visualdl->paddleocr==2.7.0.3)
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17:35:47:ALPR: Collecting future>=0.6.0 (from bce-python-sdk->visualdl->paddleocr==2.7.0.3)
17:35:47:ALPR: Using cached future-1.0.0-py3-none-any.whl.metadata (4.0 kB)
17:35:47:ALPR: Collecting contourpy>=1.0.1 (from matplotlib->imgaug->paddleocr==2.7.0.3)
17:35:47:ALPR: Using cached contourpy-1.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.9 kB)
17:35:47:ALPR: Collecting cycler>=0.10 (from matplotlib->imgaug->paddleocr==2.7.0.3)
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17:35:47:ALPR: Collecting kiwisolver>=1.0.1 (from matplotlib->imgaug->paddleocr==2.7.0.3)
17:35:47:ALPR: Using cached kiwisolver-1.4.5-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (6.4 kB)
17:35:47:ALPR: Collecting pyparsing>=2.3.1 (from matplotlib->imgaug->paddleocr==2.7.0.3)
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17:35:47:ALPR: Collecting python-dateutil>=2.7 (from matplotlib->imgaug->paddleocr==2.7.0.3)
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17:35:47:ALPR: Collecting importlib-resources>=3.2.0 (from matplotlib->imgaug->paddleocr==2.7.0.3)
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17:35:47:ALPR: Collecting tzdata>=2022.1 (from pandas->visualdl->paddleocr==2.7.0.3)
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17:35:48:ALPR: Collecting charset-normalizer<4,>=2 (from requests->premailer->paddleocr==2.7.0.3)
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17:35:48:ALPR: Collecting idna<4,>=2.5 (from requests->premailer->paddleocr==2.7.0.3)
17:35:48:ALPR: Using cached idna-3.6-py3-none-any.whl.metadata (9.9 kB)
17:35:48:ALPR: Collecting urllib3<3,>=1.21.1 (from requests->premailer->paddleocr==2.7.0.3)
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17:35:48:ALPR: Collecting certifi>=2017.4.17 (from requests->premailer->paddleocr==2.7.0.3)
17:35:48:ALPR: Using cached certifi-2024.2.2-py3-none-any.whl.metadata (2.2 kB)
17:35:48:ALPR: Collecting zipp>=0.5 (from importlib-metadata>=3.6.0->flask>=1.1.1->visualdl->paddleocr==2.7.0.3)
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17:35:53:ALPR: Using cached zipp-3.17.0-py3-none-any.whl (7.4 kB)
17:35:55:ALPR: Installing collected packages: pytz, pyclipper, lmdb, zipp, urllib3, tzdata, typing-extensions, tqdm, termcolor, soupsieve, six, rarfile, rapidfuzz, pyyaml, pyparsing, PyMuPDF, pycryptodome, psutil, protobuf, Pillow, packaging, numpy, networkx, MarkupSafe, lxml, lazy_loader, kiwisolver, itsdangerous, idna, future, fonttools, et-xmlfile, cython, cycler, cssutils, cssselect, click, charset-normalizer, certifi, cachetools, blinker, Babel, Werkzeug, tifffile, shapely, scipy, requests, PyWavelets, python-docx, python-dateutil, openpyxl, opencv-python-headless, opencv-python, opencv-contrib-python, Jinja2, importlib-resources, importlib-metadata, imageio, fire, contourpy, beautifulsoup4, bce-python-sdk, attrdict, scikit-image, premailer, pdf2docx, pandas, matplotlib, flask, imgaug, Flask-Babel, visualdl, paddleocr
17:36:25:ALPR: Successfully installed Babel-2.14.0 Flask-Babel-4.0.0 Jinja2-3.1.3 MarkupSafe-2.1.5 Pillow-10.2.0 PyMuPDF-1.20.2 PyWavelets-1.4.1 Werkzeug-3.0.1 attrdict-2.0.1 bce-python-sdk-0.9.4 beautifulsoup4-4.12.3 blinker-1.7.0 cachetools-5.3.3 certifi-2024.2.2 charset-normalizer-3.3.2 click-8.1.7 contourpy-1.1.1 cssselect-1.2.0 cssutils-2.9.0 cycler-0.12.1 cython-3.0.8 et-xmlfile-1.1.0 fire-0.5.0 flask-3.0.2 fonttools-4.49.0 future-1.0.0 idna-3.6 imageio-2.34.0 imgaug-0.4.0 importlib-metadata-7.0.1 importlib-resources-6.1.2 itsdangerous-2.1.2 kiwisolver-1.4.5 lazy_loader-0.3 lmdb-1.4.1 lxml-5.1.0 matplotlib-3.7.5 networkx-3.1 numpy-1.24.4 opencv-contrib-python-4.6.0.66 opencv-python-4.6.0.66 opencv-python-headless-4.9.0.80 openpyxl-3.1.2 packaging-23.2 paddleocr-2.7.0.3 pandas-2.0.3 pdf2docx-0.5.8 premailer-3.10.0 protobuf-4.25.3 psutil-5.9.8 pyclipper-1.3.0.post5 pycryptodome-3.20.0 pyparsing-3.1.1 python-dateutil-2.9.0.post0 python-docx-1.1.0 pytz-2024.1 pyyaml-6.0.1 rapidfuzz-3.6.1 rarfile-4.1 requests-2.31.0 scikit-image-0.21.0 scipy-1.10.1 shapely-2.0.3 six-1.16.0 soupsieve-2.5 termcolor-2.4.0 tifffile-2023.7.10 tqdm-4.66.2 typing-extensions-4.10.0 tzdata-2024.1 urllib3-2.2.1 visualdl-2.5.3 zipp-3.17.0
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/__pycache__ already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/idna already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/pillow.libs already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/numpy.libs already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/protobuf-4.25.3.dist-info already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/numpy-1.24.4.dist-info already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/pillow-10.2.0.dist-info already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/typing_extensions.py already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/certifi-2024.2.2.dist-info already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/idna-3.6.dist-info already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/PIL already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/numpy already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/certifi already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/google already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/typing_extensions-4.10.0.dist-info already exists. Specify --upgrade to force replacement.
17:36:25:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/bin already exists. Specify --upgrade to force replacement.
17:36:27:ALPR: (✅ checked) Done
17:36:28:ALPR: - Installing imutils, the image utilities library...Checking ...Check done...Installing imutils...Collecting imutils
17:36:28:ALPR: Using cached imutils-0.5.4-py3-none-any.whl
17:36:29:ALPR: Installing collected packages: imutils
17:36:30:ALPR: Successfully installed imutils-0.5.4
17:36:30:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/bin already exists. Specify --upgrade to force replacement.
17:36:31:ALPR: (✅ checked) Done
17:36:32:ALPR: - Installing Pillow, a Python Image Library...Checking ...Check done...Already installed
17:36:33:ALPR: - Installing OpenCV, the Computer Vision library for Python...Checking ...Check done...Already installed
17:36:34:ALPR: - Installing NumPy, a package for scientific computing...Checking ...Check done...Already installed
17:36:34:ALPR: Installing Python packages for the CodeProject.AI Server SDK
17:36:34:ALPR: Ensuring PIP is installed and up to date...
17:36:34:ALPR: Searching for installed dependencies:
17:36:34:ALPR: -> python3-pip Done
17:36:34:ALPR: All dependencies already installed.
17:36:34:ALPR: Ensuring PIP compatibility ...
17:36:35:ALPR: Looking in links: /tmp/tmpbtotuc2_
17:36:35:ALPR: Requirement already satisfied: setuptools in ./bin/linux/python38/venv/lib/python3.8/site-packages (69.1.1)
17:36:35:ALPR: Requirement already satisfied: pip in ./bin/linux/python38/venv/lib/python3.8/site-packages (24.0)
17:36:36:ALPR: Python packages will be specified by requirements.txt
17:36:37:ALPR: - Installing Pillow, a Python Image Library...Checking ...Check done...Already installed
17:36:38:ALPR: - Installing Charset normalizer...Checking ...Check done...Already installed
17:36:39:ALPR: - Installing aiohttp, the Async IO HTTP library...Checking ...Check done...Installing aiohttp...Collecting aiohttp
17:36:39:ALPR: Using cached aiohttp-3.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.4 kB)
17:36:39:ALPR: Collecting aiosignal>=1.1.2 (from aiohttp)
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17:36:40:ALPR: Collecting attrs>=17.3.0 (from aiohttp)
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17:36:40:ALPR: Collecting frozenlist>=1.1.1 (from aiohttp)
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17:36:40:ALPR: Collecting multidict<7.0,>=4.5 (from aiohttp)
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17:36:40:ALPR: Collecting yarl<2.0,>=1.0 (from aiohttp)
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17:36:40:ALPR: Collecting idna>=2.0 (from yarl<2.0,>=1.0->aiohttp)
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17:36:40:ALPR: Using cached multidict-6.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB)
17:36:40:ALPR: Using cached yarl-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (308 kB)
17:36:40:ALPR: Using cached idna-3.6-py3-none-any.whl (61 kB)
17:36:41:ALPR: Installing collected packages: multidict, idna, frozenlist, attrs, async-timeout, yarl, aiosignal, aiohttp
17:36:41:ALPR: Successfully installed aiohttp-3.9.3 aiosignal-1.3.1 async-timeout-4.0.3 attrs-23.2.0 frozenlist-1.4.1 idna-3.6 multidict-6.0.5 yarl-1.9.4
17:36:41:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/idna already exists. Specify --upgrade to force replacement.
17:36:41:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/idna-3.6.dist-info already exists. Specify --upgrade to force replacement.
17:36:43:ALPR: (✅ checked) Done
17:36:43:ALPR: - Installing aiofiles, the Async IO Files library...Checking ...Check done...Installing aiofiles...Collecting aiofiles
17:36:43:ALPR: Using cached aiofiles-23.2.1-py3-none-any.whl.metadata (9.7 kB)
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17:36:44:ALPR: Installing collected packages: aiofiles
17:36:44:ALPR: Successfully installed aiofiles-23.2.1
17:36:45:ALPR: (✅ checked) Done
17:36:46:ALPR: - Installing py-cpuinfo to allow us to query CPU info...Checking ...Check done...Installing py-cpuinfo...Collecting py-cpuinfo
17:36:46:ALPR: Using cached py_cpuinfo-9.0.0-py3-none-any.whl.metadata (794 bytes)
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17:36:47:ALPR: Installing collected packages: py-cpuinfo
17:36:47:ALPR: Successfully installed py-cpuinfo-9.0.0
17:36:47:ALPR: WARNING: Target directory /usr/bin/codeproject.ai-server-2.5.4/modules/ALPR/bin/linux/python38/venv/lib/python3.8/site-packages/bin already exists. Specify --upgrade to force replacement.
17:36:48:ALPR: (✅ checked) Done
17:36:49:ALPR: - Installing Requests, the HTTP library...Checking ...Check done...Already installed
17:36:49:ALPR: Executing post-install script for License Plate Reader
17:36:49:ALPR: Applying PaddleOCR patch
17:36:49:ALPR: SELF TEST START ======================================================
17:36:54:ALPR: Running verify PaddlePaddle program ...
17:36:54:ALPR: PaddlePaddle works well on 1 CPU.
17:36:54:ALPR: PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.
17:36:54:ALPR: Self-test passed
17:36:54:ALPR: SELF TEST END ======================================================
17:36:54:ALPR: Module setup time 00:01:48
17:36:54:ALPR: Setup complete
17:36:54:ALPR: Total setup time 00:01:48
17:36:54:Module ALPR installed successfully.
modified 4-Mar-24 16:31pm.
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