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Well, after getting v8 to finally install...so I thought, I am getting the following over and over:
10:38:43:Object Detection (YOLOv8): /app/modules/ObjectDetectionYOLOv8/assets/yolov8m.pt does not exist
10:38:43:Object Detection (YOLOv8): Unable to create YOLO detector for model yolov8m
10:39:31:Object Detection (YOLOv8): /app/modules/ObjectDetectionYOLOv8/assets/yolov8m.pt does not exist
10:39:31:Object Detection (YOLOv8): Unable to create YOLO detector for model yolov8m
10:39:55:Object Detection (YOLOv8): /app/modules/ObjectDetectionYOLOv8/assets/yolov8m.pt does not exist
10:39:55:Object Detection (YOLOv8): Unable to create YOLO detector for model yolov8m
10:39:55:Object Detection (YOLOv8): /app/modules/ObjectDetectionYOLOv8/assets/yolov8m.pt does not exist
10:39:55:Object Detection (YOLOv8): Unable to create YOLO detector for model yolov8m
Server version: 2.5.3
System: Docker
Operating System: Linux (Linux 5.10.102.1-microsoft-standard-WSL2 #1 SMP Wed Mar 2 00:30:59 UTC 2022)
CPUs: AMD Ryzen Threadripper 3960X 24-Core Processor (AMD)
1 CPU x 24 cores. 48 logical processors (x64)
GPU (Primary): NVIDIA GeForce RTX 3070 (8 GiB) (NVIDIA)
Driver: 551.23, CUDA: 12.4 (up to: 12.4), Compute: 8.6, cuDNN:
System RAM: 63 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Docker
Runtime Env: Production
.NET framework: .NET 7.0.15
Default Python: 3.10
Video adapter info:
System GPU info:
GPU 3D Usage 20%
GPU RAM Usage 7.3 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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Server version: 2.5.3
System: Docker
Operating System: Linux (Linux 5.10.102.1-microsoft-standard-WSL2 #1 SMP Wed Mar 2 00:30:59 UTC 2022)
CPUs: AMD Ryzen Threadripper 3960X 24-Core Processor (AMD)
1 CPU x 24 cores. 48 logical processors (x64)
GPU (Primary): NVIDIA GeForce RTX 3070 (8 GiB) (NVIDIA)
Driver: 551.23, CUDA: 12.4 (up to: 12.4), Compute: 8.6, cuDNN:
System RAM: 63 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Docker
Runtime Env: Production
.NET framework: .NET 7.0.15
Default Python: 3.10
Video adapter info:
System GPU info:
GPU 3D Usage 20%
GPU RAM Usage 7.3 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
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2.5.4 downloaded, reinstalled Yolov8 and now it appears to be working.
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Excellent. Thanks for letting us know.
cheers
Chris Maunder
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Did you map the /app/modules folder to a folder on your local machine?
Is it possible for you to open a terminal in Docker and let me know if there's a install.log file in /app/modules/ObjectDetectionYOLOv8 and if so, please post it here.
cheers
Chris Maunder
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2024-02-17 01:34:53: Setting verbosity to loud
2024-02-17 01:34:53: Hi Docker! We will disable shared python installs for downloaded modules
2024-02-17 01:34:53: No schemas installed
2024-02-17 01:34:53: (No schemas means: we can't detect if you're in light or dark mode)
2024-02-17 01:34:53: Installing CodeProject.AI Analysis Module
2024-02-17 01:34:53: ======================================================================
2024-02-17 01:34:53: CodeProject.AI Installer
2024-02-17 01:34:53: ======================================================================
2024-02-17 01:34:53: 180.04 GiB of 257.00 GiB available on Docker
2024-02-17 01:34:53: os, arch = linux x86_64
2024-02-17 01:34:53: systemName, platform = Docker, linux
2024-02-17 01:34:53: SSH = false
2024-02-17 01:34:53: setupMode = InstallModule
2024-02-17 01:34:53: executionEnvironment = Production
2024-02-17 01:34:53: rootDirPath = /app
2024-02-17 01:34:53: appRootDirPath = /app
2024-02-17 01:34:53: setupScriptDirPath = /app
2024-02-17 01:34:53: sdkScriptsDirPath = /app/SDK/Scripts
2024-02-17 01:34:53: runtimesDirPath = /app/runtimes
2024-02-17 01:34:53: modulesDirPath = /app/modules
2024-02-17 01:34:53: downloadDirPath = /app/downloads
2024-02-17 01:34:53: Installing xz-utils...
2024-02-17 01:34:53: WARNING: apt WARNING: does not have a stable CLI interface. Use with caution in scripts.
2024-02-17 01:34:53: apt
2024-02-17 01:34:53: does not have a stable CLI interface. Use with caution in scripts.
2024-02-17 01:34:53: Hit:1 https:
2024-02-17 01:34:53: Get:2 http:
2024-02-17 01:34:53: Hit:3 https:
2024-02-17 01:34:53: Hit:4 http:
2024-02-17 01:34:53: Hit:5 https:
2024-02-17 01:34:54: Get:6 http:
2024-02-17 01:34:54: General CodeProject.AI setup
2024-02-17 01:34:54: Setting permissions on downloads folder...Done
2024-02-17 01:34:54: Setting permissions on runtimes folder...Done
2024-02-17 01:34:54: Setting permissions on persisted data folder...Done
2024-02-17 01:34:54: GPU support
2024-02-17 01:34:54: Hit:7 http:
2024-02-17 01:34:54: Fetched 229 kB in 1s (171 kB/s)
2024-02-17 01:34:54: Reading package lists...Searching for installed dependencies:
2024-02-17 01:34:55: -> nvidia-cuda-toolkit
2024-02-17 01:34:55: Building dependency tree...
2024-02-17 01:34:55: Reading state information...
2024-02-17 01:34:55: Done
2024-02-17 01:34:55: Installing missing dependencies:
2024-02-17 01:34:55: -> nvidia-cuda-toolkit
2024-02-17 01:34:55: 34 packages can be upgraded. Run 'apt list --upgradable' to see them.
2024-02-17 01:34:55: Hit:1 http:
2024-02-17 01:34:56: Hit:2 https:
2024-02-17 01:34:56: Hit:3 http:
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2024-02-17 01:34:57: Reading package lists...
2024-02-17 01:34:58: Reading package lists...
2024-02-17 01:34:58: Building dependency tree...
2024-02-17 01:34:58: Reading state information...
2024-02-17 01:34:58: The following additional packages will be installed:
2024-02-17 01:34:58: libaccinj64-11.5 libcub-dev libcublas11 libcublaslt11 libcudart11.0
2024-02-17 01:34:58: libcufft10 libcufftw10 libcuinj64-11.5 libcupti-dev libcupti11.5 libcurand10
2024-02-17 01:34:58: libcusolver11 libcusolvermg11 libcusparse11 libnppc11 libnppial11
2024-02-17 01:34:58: libnppicc11 libnppidei11 libnppif11 libnppig11 libnppim11 libnppist11
2024-02-17 01:34:58: libnppisu11 libnppitc11 libnpps11 libnvblas11 libnvidia-compute-495
2024-02-17 01:34:58: libnvidia-compute-510 libnvidia-compute-525 libnvidia-ml-dev libnvjpeg11
2024-02-17 01:34:58: libnvrtc-builtins11.5 libnvrtc11.2 libnvtoolsext1 libnvvm4 libthrust-dev
2024-02-17 01:34:58: nvidia-cuda-dev nvidia-opencl-dev nvidia-profiler ocl-icd-opencl-dev
2024-02-17 01:34:58: opencl-c-headers opencl-clhpp-headers
2024-02-17 01:34:58: Suggested packages:
2024-02-17 01:34:58: opencl-clhpp-headers-doc
2024-02-17 01:34:58: Recommended packages:
2024-02-17 01:34:58: libcupti-doc libtbb-dev libgl1-mesa-dev | libgl-dev libvdpau-dev libnvcuvid1
2024-02-17 01:34:58: nvidia-cuda-toolkit-doc nvidia-cuda-gdb nvidia-visual-profiler
2024-02-17 01:34:58: nsight-compute nsight-systems
2024-02-17 01:34:58: The following NEW packages will be installed:
2024-02-17 01:34:58: libaccinj64-11.5 libcub-dev libcublas11 libcublaslt11 libcudart11.0
2024-02-17 01:34:58: libcufft10 libcufftw10 libcuinj64-11.5 libcupti-dev libcupti11.5 libcurand10
2024-02-17 01:34:58: libcusolver11 libcusolvermg11 libcusparse11 libnppc11 libnppial11
2024-02-17 01:34:58: libnppicc11 libnppidei11 libnppif11 libnppig11 libnppim11 libnppist11
2024-02-17 01:34:58: libnppisu11 libnppitc11 libnpps11 libnvblas11 libnvidia-compute-495
2024-02-17 01:34:58: libnvidia-compute-510 libnvidia-compute-525 libnvidia-ml-dev libnvjpeg11
2024-02-17 01:34:58: libnvrtc-builtins11.5 libnvrtc11.2 libnvtoolsext1 libnvvm4 libthrust-dev
2024-02-17 01:34:58: nvidia-cuda-dev nvidia-cuda-toolkit nvidia-opencl-dev nvidia-profiler
2024-02-17 01:34:58: ocl-icd-opencl-dev opencl-c-headers opencl-clhpp-headers
2024-02-17 01:34:59: 0 upgraded, 43 newly installed, 0 to remove and 34 not upgraded.
2024-02-17 01:34:59: Need to get 1395 MB of archives.
2024-02-17 01:34:59: After this operation, 3994 MB of additional disk space will be used.
2024-02-17 01:34:59: Get:1 https:
2024-02-17 01:34:59: Get:2 http:
2024-02-17 01:35:18: Get:3 http:
2024-02-17 01:35:21: Get:4 http:
2024-02-17 01:35:21: Get:5 http:
2024-02-17 01:47:29: Get:6 http:
2024-02-17 01:48:57: Get:7 http:
2024-02-17 01:48:58: Get:8 http:
2024-02-17 01:51:08: Get:9 http:
2024-02-17 01:51:09: Get:10 http:
2024-02-17 01:51:09: Get:11 http:
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2024-02-17 01:59:36: Get:33 http:
2024-02-17 01:59:43: Get:34 http:
2024-02-17 01:59:47: Get:35 http:
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2024-02-17 01:59:48: Get:37 http:
2024-02-17 02:04:52: Get:38 http:
2024-02-17 02:04:54: Get:39 http:
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2024-02-17 02:04:54: Get:42 http:
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2024-02-17 02:05:05: debconf: delaying package configuration, since apt-utils is not installed
2024-02-17 02:05:05: Fetched 1395 MB in 30min 7s (772 kB/s)
2024-02-17 02:05:05: Selecting previously unselected package libcupti11.5:amd64.
2024-02-17 02:05:05: (Reading database ...
2024-02-17 02:05:05: (Reading database ... 5%
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2024-02-17 02:05:05: (Reading database ... 23350 files and directories currently installed.)
2024-02-17 02:05:05: Preparing to unpack .../00-libcupti11.5_11.5.114~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:05: Unpacking libcupti11.5:amd64 (11.5.114~11.5.1-1ubuntu1) ...
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2024-02-17 02:05:07: Unpacking libcublas11:amd64 (11.7.4.6~11.5.1-1ubuntu1) ...
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2024-02-17 02:05:14: dpkg: error processing archive /tmp/apt-dpkg-install-JHhJ9J/08-libnvidia-compute-525_525.147.05-0ubuntu1_amd64.deb (--unpack):
2024-02-17 02:05:14: unable to make backup link of './usr/lib/x86_64-linux-gnu/libcuda.so.1' before installing new version: Invalid cross-device link
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2024-02-17 02:05:19: Unpacking libnvidia-ml-dev:amd64 (11.5.50~11.5.1-1ubuntu1) ...
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2024-02-17 02:05:29: Selecting previously unselected package nvidia-opencl-dev:amd64.
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2024-02-17 02:05:29: Unpacking nvidia-opencl-dev:amd64 (11.5.1-1ubuntu1) ...
2024-02-17 02:05:29: Selecting previously unselected package nvidia-cuda-toolkit.
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2024-02-17 02:05:29: Errors were encountered while processing:
2024-02-17 02:05:29: /tmp/apt-dpkg-install-JHhJ9J/08-libnvidia-compute-525_525.147.05-0ubuntu1_amd64.deb
2024-02-17 02:05:29: E: Sub-process /usr/bin/dpkg returned an error code (1)
2024-02-17 02:05:29: CUDA (NVIDIA) Present: Yes (CUDA 11.5, No cuDNN found)
2024-02-17 02:05:29: ROCm (AMD) Present: No
2024-02-17 02:05:29: MPS (Apple) Present: No
2024-02-17 02:05:30: Reading module settings.Modules.ObjectDetectionYOLOv8.Name is Object Detection (YOLOv8) in modulesettings.json
2024-02-17 02:05:30: ..Modules.ObjectDetectionYOLOv8.Version is 1.3.1 in modulesettings.json
2024-02-17 02:05:30: ..Modules.ObjectDetectionYOLOv8.LaunchSettings.Runtime is python3.8 in modulesettings.json
2024-02-17 02:05:30: ..Modules.ObjectDetectionYOLOv8.LaunchSettings.RuntimeLocation is Shared in modulesettings.json
2024-02-17 02:05:30: ..Modules.ObjectDetectionYOLOv8.LaunchSettings.FilePath is detect_adapter.py in modulesettings.json
2024-02-17 02:05:30: ..Modules.ObjectDetectionYOLOv8.GpuOptions.InstallGPU is true in modulesettings.json
2024-02-17 02:05:30: ..Modules.ObjectDetectionYOLOv8.InstallOptions.Platforms is [ "all" ] in modulesettings.json
2024-02-17 02:05:30: .Done
2024-02-17 02:05:30: Processing module ObjectDetectionYOLOv8 1.3.1
2024-02-17 02:05:30: Downloaded modules must have local Python install. Changing install location
2024-02-17 02:05:30: moduleName = Object Detection (YOLOv8)
2024-02-17 02:05:30: moduleVersion = 1.3.1
2024-02-17 02:05:30: runtime = python3.8
2024-02-17 02:05:30: runtimeLocation = Local
2024-02-17 02:05:30: installGPU = true
2024-02-17 02:05:30: pythonVersion = 3.8
2024-02-17 02:05:30: virtualEnvDirPath = /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv
2024-02-17 02:05:30: venvPythonCmdPath = /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/bin/python3.8
2024-02-17 02:05:30: packagesDirPath = /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/
2024-02-17 02:05:30: Installing Python 3.8
2024-02-17 02:05:30: Python install path is /app/modules/ObjectDetectionYOLOv8/bin/linux/python38
2024-02-17 02:05:30: Python 3.8 is already installed
2024-02-17 02:05:31: Ensuring PIP in base python install...Reading package lists...
2024-02-17 02:05:31: Building dependency tree...
2024-02-17 02:05:31: Reading state information...
2024-02-17 02:05:31: You might want to run 'apt --fix-broken install' to correct these.
2024-02-17 02:05:31: The following packages have unmet dependencies:
2024-02-17 02:05:31: libnvidia-compute-510 : Depends: libnvidia-compute-525 but it is not going to be installed
2024-02-17 02:05:31: E: Unmet dependencies. Try 'apt --fix-broken install' with no packages (or specify a solution).
2024-02-17 02:05:31: /app/SDK/Scripts/utils.sh: line 1181: /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/bin/python3.8: No such file or directory
2024-02-17 02:05:31: done
2024-02-17 02:05:31: Upgrading PIP in base python install...Requirement already satisfied: pip in /usr/local/lib/python3.8/dist-packages (24.0)
2024-02-17 02:05:32: 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:
2024-02-17 02:05:32: done
2024-02-17 02:05:32: Installing Virtual Environment tools for Linux...
2024-02-17 02:05:32: Searching for installed dependencies:
2024-02-17 02:05:35: -> python3-pip python3-setuptools python3.8-venv Done
2024-02-17 02:05:35: All dependencies already installed.
2024-02-17 02:05:35: Creating Virtual Environment (Local)...Install path is /app/modules/ObjectDetectionYOLOv8/bin/linux/python38
2024-02-17 02:06:42: Done
2024-02-17 02:06:42: Checking for Python 3.8...(Found Python 3.8.18) All good
2024-02-17 02:09:45: Upgrading PIP in virtual environment... done
2024-02-17 02:10:30: Installing updated setuptools in venv... Done
2024-02-17 02:10:30: Downloading models-yolo8-pt.zip to /app/downloads/ObjectDetectionYOLOv8
2024-02-17 02:10:30: Extracting to assets in this folder
2024-02-17 02:10:30: Downloading Standard YOLO models... already exists...Expanding...Archive: models-yolo8-pt.zip
2024-02-17 02:10:31: inflating: assets/yolov8x.pt
2024-02-17 02:10:32: inflating: assets/yolov8l.pt
2024-02-17 02:10:32: inflating: assets/yolov8m.pt
2024-02-17 02:10:32: inflating: assets/yolov8n.pt
2024-02-17 02:10:32: inflating: assets/yolov8s.pt
2024-02-17 02:10:32: Done.
2024-02-17 02:10:33: Moving contents of models-yolo8-pt.zip to assets...done.
2024-02-17 02:10:33: Downloading custom-models-yolo8-pt.zip to /app/downloads/ObjectDetectionYOLOv8
2024-02-17 02:10:33: Extracting to custom-models in this folder
2024-02-17 02:10:33: Downloading Custom YOLO models... already exists...Expanding...Archive: custom-models-yolo8-pt.zip
2024-02-17 02:10:33: inflating: custom-models/ipcam-general.pt
2024-02-17 02:10:33: Done.
2024-02-17 02:10:33: Moving contents of custom-models-yolo8-pt.zip to custom-models...done.
2024-02-17 02:10:33: Installing Python packages for Object Detection (YOLOv8)
2024-02-17 02:10:33: Installing GPU-enabled libraries: If available
2024-02-17 02:10:33: Ensuring PIP is installed and up to date...
2024-02-17 02:10:33: Searching for installed dependencies:
2024-02-17 02:10:34: -> python3-pip Done
2024-02-17 02:10:34: All dependencies already installed.
2024-02-17 02:10:34: Ensuring PIP compatibility ...
2024-02-17 02:10:36: Looking in links: /tmp/tmp89fikar_
2024-02-17 02:10:36: Requirement already satisfied: setuptools in ./bin/linux/python38/venv/lib/python3.8/site-packages (69.1.0)
2024-02-17 02:10:36: Requirement already satisfied: pip in ./bin/linux/python38/venv/lib/python3.8/site-packages (24.0)
2024-02-17 02:10:36: CUDA version is 11.5 (11_5 / 11)
2024-02-17 02:10:36: Python packages will be specified by requirements.linux.cuda11_5.txt
2024-02-17 02:10:49: - Installing PyTorch, an open source machine learning framework...Checking ...Check done...Installing torch==1.12.1+cu113...Looking in links: https:
2024-02-17 02:10:51: Collecting torch==1.12.1+cu113
2024-02-17 02:10:51: Downloading https:
2024-02-17 02:13:16: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.8/1.8 GB 3.6 MB/s eta 0:00:00
2024-02-17 02:13:18: Collecting typing-extensions (from torch==1.12.1+cu113)
2024-02-17 02:13:18: Using cached typing_extensions-4.9.0-py3-none-any.whl.metadata (3.0 kB)
2024-02-17 02:13:18: Using cached typing_extensions-4.9.0-py3-none-any.whl (32 kB)
2024-02-17 02:13:18: Installing collected packages: typing-extensions, torch
2024-02-17 02:13:41: Successfully installed torch-1.12.1+cu113 typing-extensions-4.9.0
2024-02-17 02:21:06: (✅ checked) Done
2024-02-17 02:21:21: - Installing TorchVision, for working with computer vision models...Checking ...Check done...Installing torchvision==0.13.1+cu113...Looking in links: https:
2024-02-17 02:21:22: Collecting torchvision==0.13.1+cu113
2024-02-17 02:21:23: Downloading https:
2024-02-17 02:21:28: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.4/23.4 MB 6.1 MB/s eta 0:00:00
2024-02-17 02:21:30: Collecting typing-extensions (from torchvision==0.13.1+cu113)
2024-02-17 02:21:30: Using cached typing_extensions-4.9.0-py3-none-any.whl.metadata (3.0 kB)
2024-02-17 02:21:31: Collecting numpy (from torchvision==0.13.1+cu113)
2024-02-17 02:21:31: Using cached numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.6 kB)
2024-02-17 02:21:32: Collecting requests (from torchvision==0.13.1+cu113)
2024-02-17 02:21:32: Using cached requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)
2024-02-17 02:21:33: Collecting torch==1.12.1 (from torchvision==0.13.1+cu113)
2024-02-17 02:21:33: Downloading https:
2024-02-17 02:28:22: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.4/1.4 GB 3.4 MB/s eta 0:00:00
2024-02-17 02:28:24: Collecting pillow!=8.3.*,>=5.3.0 (from torchvision==0.13.1+cu113)
2024-02-17 02:28:24: Using cached pillow-10.2.0-cp38-cp38-manylinux_2_28_x86_64.whl.metadata (9.7 kB)
2024-02-17 02:28:25: Collecting charset-normalizer<4,>=2 (from requests->torchvision==0.13.1+cu113)
2024-02-17 02:28:25: Using cached charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)
2024-02-17 02:28:25: Collecting idna<4,>=2.5 (from requests->torchvision==0.13.1+cu113)
2024-02-17 02:28:25: Using cached idna-3.6-py3-none-any.whl.metadata (9.9 kB)
2024-02-17 02:28:26: Collecting urllib3<3,>=1.21.1 (from requests->torchvision==0.13.1+cu113)
2024-02-17 02:28:26: Using cached urllib3-2.2.0-py3-none-any.whl.metadata (6.4 kB)
2024-02-17 02:28:27: Collecting certifi>=2017.4.17 (from requests->torchvision==0.13.1+cu113)
2024-02-17 02:28:27: Using cached certifi-2024.2.2-py3-none-any.whl.metadata (2.2 kB)
2024-02-17 02:28:27: Using cached pillow-10.2.0-cp38-cp38-manylinux_2_28_x86_64.whl (4.5 MB)
2024-02-17 02:28:27: Using cached numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
2024-02-17 02:28:27: Using cached requests-2.31.0-py3-none-any.whl (62 kB)
2024-02-17 02:28:27: Using cached typing_extensions-4.9.0-py3-none-any.whl (32 kB)
2024-02-17 02:28:27: Using cached certifi-2024.2.2-py3-none-any.whl (163 kB)
2024-02-17 02:28:27: Using cached charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (141 kB)
2024-02-17 02:28:27: Using cached idna-3.6-py3-none-any.whl (61 kB)
2024-02-17 02:28:27: Using cached urllib3-2.2.0-py3-none-any.whl (120 kB)
2024-02-17 02:28:28: Installing collected packages: urllib3, typing-extensions, pillow, numpy, idna, charset-normalizer, certifi, torch, requests, torchvision
2024-02-17 02:29:04: Successfully installed certifi-2024.2.2 charset-normalizer-3.3.2 idna-3.6 numpy-1.24.4 pillow-10.2.0 requests-2.31.0 torch-1.12.1+rocm5.1.1 torchvision-0.13.1+cu113 typing-extensions-4.9.0 urllib3-2.2.0
2024-02-17 02:29:46: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/__pycache__ already exists. Specify --upgrade to force replacement.
2024-02-17 02:29:46: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/typing_extensions.py already exists. Specify --upgrade to force replacement.
2024-02-17 02:29:47: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/caffe2 already exists. Specify --upgrade to force replacement.
2024-02-17 02:29:50: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/typing_extensions-4.9.0.dist-info already exists. Specify --upgrade to force replacement.
2024-02-17 02:30:00: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torchgen already exists. Specify --upgrade to force replacement.
2024-02-17 02:30:00: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch already exists. Specify --upgrade to force replacement.
2024-02-17 02:30:00: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/bin already exists. Specify --upgrade to force replacement.
2024-02-17 02:30:08: (✅ checked) Done
2024-02-17 02:30:24: - Installing Ultralytics package for object detection in images...Checking ...Check done...Installing ultralytics==8.1.2...Collecting ultralytics==8.1.2
2024-02-17 02:30:24: Using cached ultralytics-8.1.2-py3-none-any.whl.metadata (40 kB)
2024-02-17 02:30:25: Collecting matplotlib>=3.3.0 (from ultralytics==8.1.2)
2024-02-17 02:30:25: Using cached matplotlib-3.7.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.metadata (5.7 kB)
2024-02-17 02:30:25: Collecting numpy>=1.22.2 (from ultralytics==8.1.2)
2024-02-17 02:30:25: Using cached numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.6 kB)
2024-02-17 02:30:26: Collecting opencv-python>=4.6.0 (from ultralytics==8.1.2)
2024-02-17 02:30:26: Using cached opencv_python-4.9.0.80-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (20 kB)
2024-02-17 02:30:26: Collecting pillow>=7.1.2 (from ultralytics==8.1.2)
2024-02-17 02:30:26: Using cached pillow-10.2.0-cp38-cp38-manylinux_2_28_x86_64.whl.metadata (9.7 kB)
2024-02-17 02:30:26: Collecting pyyaml>=5.3.1 (from ultralytics==8.1.2)
2024-02-17 02:30:26: Using cached PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)
2024-02-17 02:30:26: Collecting requests>=2.23.0 (from ultralytics==8.1.2)
2024-02-17 02:30:26: Using cached requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)
2024-02-17 02:30:27: Collecting scipy>=1.4.1 (from ultralytics==8.1.2)
2024-02-17 02:30:27: Using cached scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
2024-02-17 02:30:27: Collecting torch>=1.8.0 (from ultralytics==8.1.2)
2024-02-17 02:30:27: Using cached torch-2.2.0-cp38-cp38-manylinux1_x86_64.whl.metadata (25 kB)
2024-02-17 02:30:27: Collecting torchvision>=0.9.0 (from ultralytics==8.1.2)
2024-02-17 02:30:27: Using cached torchvision-0.17.0-cp38-cp38-manylinux1_x86_64.whl.metadata (6.6 kB)
2024-02-17 02:30:28: Collecting tqdm>=4.64.0 (from ultralytics==8.1.2)
2024-02-17 02:30:28: Using cached tqdm-4.66.2-py3-none-any.whl.metadata (57 kB)
2024-02-17 02:30:28: Collecting psutil (from ultralytics==8.1.2)
2024-02-17 02:30:28: 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)
2024-02-17 02:30:28: Collecting py-cpuinfo (from ultralytics==8.1.2)
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2024-02-17 02:30:28: Collecting thop>=0.1.1 (from ultralytics==8.1.2)
2024-02-17 02:30:28: Using cached thop-0.1.1.post2209072238-py3-none-any.whl (15 kB)
2024-02-17 02:30:29: Collecting pandas>=1.1.4 (from ultralytics==8.1.2)
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2024-02-17 02:39:30: Installing collected packages: pytz, py-cpuinfo, mpmath, zipp, urllib3, tzdata, typing-extensions, tqdm, sympy, six, pyyaml, pyparsing, psutil, pillow, packaging, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, MarkupSafe, kiwisolver, idna, fsspec, fonttools, filelock, cycler, charset-normalizer, certifi, triton, scipy, requests, python-dateutil, opencv-python, nvidia-cusparse-cu12, nvidia-cudnn-cu12, jinja2, importlib-resources, contourpy, pandas, nvidia-cusolver-cu12, matplotlib, torch, seaborn, torchvision, thop, ultralytics
2024-02-17 02:40:20: Successfully installed MarkupSafe-2.1.5 certifi-2024.2.2 charset-normalizer-3.3.2 contourpy-1.1.1 cycler-0.12.1 filelock-3.13.1 fonttools-4.49.0 fsspec-2024.2.0 idna-3.6 importlib-resources-6.1.1 jinja2-3.1.3 kiwisolver-1.4.5 matplotlib-3.7.5 mpmath-1.3.0 networkx-3.1 numpy-1.24.4 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.3.101 nvidia-nvtx-cu12-12.1.105 opencv-python-4.9.0.80 packaging-23.2 pandas-2.0.3 pillow-10.2.0 psutil-5.9.8 py-cpuinfo-9.0.0 pyparsing-3.1.1 python-dateutil-2.8.2 pytz-2024.1 pyyaml-6.0.1 requests-2.31.0 scipy-1.10.1 seaborn-0.13.2 six-1.16.0 sympy-1.12 thop-0.1.1.post2209072238 torch-2.2.0 torchvision-0.17.0 tqdm-4.66.2 triton-2.2.0 typing-extensions-4.9.0 tzdata-2024.1 ultralytics-8.1.2 urllib3-2.2.0 zipp-3.17.0
2024-02-17 02:40:26: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/pillow.libs already exists. Specify --upgrade to force replacement.
2024-02-17 02:40:26: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/urllib3-2.2.0.dist-info already exists. Specify --upgrade to force replacement.
2024-02-17 02:40:28: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/numpy-1.24.4.dist-info already exists. Specify --upgrade to force replacement.
2024-02-17 02:40:28: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/numpy already exists. Specify --upgrade to force replacement.
2024-02-17 02:40:39: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/PIL already exists. Specify --upgrade to force replacement.
2024-02-17 02:40:39: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/__pycache__ already exists. Specify --upgrade to force replacement.
2024-02-17 02:40:39: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/typing_extensions.py already exists. Specify --upgrade to force replacement.
2024-02-17 02:40:43: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torchvision.libs already exists. Specify --upgrade to force replacement.
2024-02-17 02:40:43: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/charset_normalizer already exists. Specify --upgrade to force replacement.
2024-02-17 02:41:02: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/numpy.libs already exists. Specify --upgrade to force replacement.
2024-02-17 02:43:08: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/urllib3 already exists. Specify --upgrade to force replacement.
2024-02-17 02:43:08: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/charset_normalizer-3.3.2.dist-info already exists. Specify --upgrade to force replacement.
2024-02-17 02:43:31: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/certifi-2024.2.2.dist-info already exists. Specify --upgrade to force replacement.
2024-02-17 02:43:31: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/certifi already exists. Specify --upgrade to force replacement.
2024-02-17 02:45:35: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/requests-2.31.0.dist-info already exists. Specify --upgrade to force replacement.
2024-02-17 02:45:39: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/typing_extensions-4.9.0.dist-info already exists. Specify --upgrade to force replacement.
2024-02-17 02:45:39: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/idna-3.6.dist-info already exists. Specify --upgrade to force replacement.
2024-02-17 02:46:32: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/requests already exists. Specify --upgrade to force replacement.
2024-02-17 02:46:32: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/idna already exists. Specify --upgrade to force replacement.
2024-02-17 02:46:33: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/pillow-10.2.0.dist-info already exists. Specify --upgrade to force replacement.
2024-02-17 02:46:33: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torchvision already exists. Specify --upgrade to force replacement.
2024-02-17 02:48:31: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torchgen already exists. Specify --upgrade to force replacement.
2024-02-17 02:49:39: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/torch already exists. Specify --upgrade to force replacement.
2024-02-17 02:49:48: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/bin already exists. Specify --upgrade to force replacement.
2024-02-17 02:49:59: (✅ checked) Done
2024-02-17 02:49:59: Installing Python packages for the CodeProject.AI Server SDK
2024-02-17 02:49:59: Ensuring PIP is installed and up to date...
2024-02-17 02:49:59: Searching for installed dependencies:
2024-02-17 02:50:00: -> python3-pip Done
2024-02-17 02:50:00: All dependencies already installed.
2024-02-17 02:50:00: Ensuring PIP compatibility ...
2024-02-17 02:50:04: Looking in links: /tmp/tmp56avb_9q
2024-02-17 02:50:04: Requirement already satisfied: setuptools in ./bin/linux/python38/venv/lib/python3.8/site-packages (69.1.0)
2024-02-17 02:50:04: Requirement already satisfied: pip in ./bin/linux/python38/venv/lib/python3.8/site-packages (24.0)
2024-02-17 02:50:06: CUDA version is 11.5 (11_5 / 11)
2024-02-17 02:50:06: Python packages will be specified by requirements.txt
2024-02-17 02:50:15: - Installing Pillow, a Python Image Library...Checking ...Check done...Already installed
2024-02-17 02:50:24: - Installing Charset normalizer...Checking ...Check done...Already installed
2024-02-17 02:50:45: - Installing aiohttp, the Async IO HTTP library...Checking ...Check done...Installing aiohttp...Collecting aiohttp
2024-02-17 02:50:46: Downloading aiohttp-3.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.4 kB)
2024-02-17 02:50:46: Collecting aiosignal>=1.1.2 (from aiohttp)
2024-02-17 02:50:46: Downloading aiosignal-1.3.1-py3-none-any.whl (7.6 kB)
2024-02-17 02:50:46: Collecting attrs>=17.3.0 (from aiohttp)
2024-02-17 02:50:46: Downloading attrs-23.2.0-py3-none-any.whl.metadata (9.5 kB)
2024-02-17 02:50:47: Collecting frozenlist>=1.1.1 (from aiohttp)
2024-02-17 02:50:47: Downloading frozenlist-1.4.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (12 kB)
2024-02-17 02:50:47: Collecting multidict<7.0,>=4.5 (from aiohttp)
2024-02-17 02:50:47: Downloading multidict-6.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.2 kB)
2024-02-17 02:50:48: Collecting yarl<2.0,>=1.0 (from aiohttp)
2024-02-17 02:50:48: Downloading yarl-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (31 kB)
2024-02-17 02:50:48: Collecting async-timeout<5.0,>=4.0 (from aiohttp)
2024-02-17 02:50:48: Downloading async_timeout-4.0.3-py3-none-any.whl.metadata (4.2 kB)
2024-02-17 02:50:48: Collecting idna>=2.0 (from yarl<2.0,>=1.0->aiohttp)
2024-02-17 02:50:48: Using cached idna-3.6-py3-none-any.whl.metadata (9.9 kB)
2024-02-17 02:50:49: Downloading aiohttp-3.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)
2024-02-17 02:50:50: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 1.1 MB/s eta 0:00:00
2024-02-17 02:50:50: Downloading async_timeout-4.0.3-py3-none-any.whl (5.7 kB)
2024-02-17 02:50:50: Downloading attrs-23.2.0-py3-none-any.whl (60 kB)
2024-02-17 02:50:50: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 60.8/60.8 kB 405.2 kB/s eta 0:00:00
2024-02-17 02:50:50: Downloading frozenlist-1.4.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (240 kB)
2024-02-17 02:50:51: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 240.9/240.9 kB 473.0 kB/s eta 0:00:00
2024-02-17 02:50:51: Downloading multidict-6.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB)
2024-02-17 02:50:51: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 129.3/129.3 kB 615.3 kB/s eta 0:00:00
2024-02-17 02:50:51: Downloading yarl-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (308 kB)
2024-02-17 02:50:52: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 308.8/308.8 kB 638.1 kB/s eta 0:00:00
2024-02-17 02:50:52: Using cached idna-3.6-py3-none-any.whl (61 kB)
2024-02-17 02:50:52: Installing collected packages: multidict, idna, frozenlist, attrs, async-timeout, yarl, aiosignal, aiohttp
2024-02-17 02:50:53: 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
2024-02-17 02:50:58: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/idna-3.6.dist-info already exists. Specify --upgrade to force replacement.
2024-02-17 02:50:58: WARNING: Target directory /app/modules/ObjectDetectionYOLOv8/bin/linux/python38/venv/lib/python3.8/site-packages/idna already exists. Specify --upgrade to force replacement.
2024-02-17 02:51:08: (✅ checked) Done
2024-02-17 02:51:31: - Installing aiofiles, the Async IO Files library...Checking ...Check done...Installing aiofiles...Collecting aiofiles
2024-02-17 02:51:31: Downloading aiofiles-23.2.1-py3-none-any.whl.metadata (9.7 kB)
2024-02-17 02:51:31: Downloading aiofiles-23.2.1-py3-none-any.whl (15 kB)
2024-02-17 02:51:32: Installing collected packages: aiofiles
2024-02-17 02:51:32: Successfully installed aiofiles-23.2.1
2024-02-17 02:51:42: (✅ checked) Done
2024-02-17 02:51:52: - Installing py-cpuinfo to allow us to query CPU info...Checking ...Check done...Already installed
2024-02-17 02:52:01: - Installing Requests, the HTTP library...Checking ...Check done...Already installed
2024-02-17 02:52:01: SELF TEST START ======================================================
2024-02-17 02:52:48: Debug: APPDIR: /app/modules/ObjectDetectionYOLOv8
2024-02-17 02:52:48: Debug: MODEL_SIZE: medium
2024-02-17 02:52:48: Debug: MODELS_DIR: /app/modules/ObjectDetectionYOLOv8/assets
2024-02-17 02:52:48: GPU compute capability is 8.6
2024-02-17 02:52:48: Using half-precision for the device 'NVIDIA GeForce RTX 3070'
2024-02-17 02:52:48: Inference processing will occur on device 'NVIDIA GeForce RTX 3070'
2024-02-17 02:52:48: Model Path is /app/modules/ObjectDetectionYOLOv8/assets/yolov8m.pt
2024-02-17 02:53:03: 0: 448x640 2 bowls, 6 chairs, 1 potted plant, 2 dining tables, 1 laptop, 1 remote, 12 books, 2 vases, 25.8ms
2024-02-17 02:53:03: Speed: 31.1ms preprocess, 25.8ms inference, 124.4ms postprocess per image at shape (1, 3, 448, 640)
2024-02-17 02:53:03: Info: Self-test for ObjectDetectionYOLOv8. Success: True
2024-02-17 02:53:07: Self-test passed
2024-02-17 02:53:07: SELF TEST END ======================================================
2024-02-17 02:53:07: Module setup time 00:47:38
2024-02-17 02:53:07: Setup complete
2024-02-17 02:53:07: Total setup time 01:18:14
Installer exited with code 0
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Is there a way to attach a file, it's 68K
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No need, I can see it's all good now:
2024-02-17 02:52:01: SELF TEST START ======================================================
2024-02-17 02:52:48: Debug: APPDIR: /app/modules/ObjectDetectionYOLOv8
2024-02-17 02:52:48: Debug: MODEL_SIZE: medium
2024-02-17 02:52:48: Debug: MODELS_DIR: /app/modules/ObjectDetectionYOLOv8/assets
2024-02-17 02:52:48: GPU compute capability is 8.6
2024-02-17 02:52:48: Using half-precision for the device 'NVIDIA GeForce RTX 3070'
2024-02-17 02:52:48: Inference processing will occur on device 'NVIDIA GeForce RTX 3070'
2024-02-17 02:52:48: Model Path is /app/modules/ObjectDetectionYOLOv8/assets/yolov8m.pt
2024-02-17 02:53:03: 0: 448x640 2 bowls, 6 chairs, 1 potted plant, 2 dining tables, 1 laptop, 1 remote, 12 books, 2 vases, 25.8ms
2024-02-17 02:53:03: Speed: 31.1ms preprocess, 25.8ms inference, 124.4ms postprocess per image at shape (1, 3, 448, 640)
2024-02-17 02:53:03: Info: Self-test for ObjectDetectionYOLOv8. Success: True
2024-02-17 02:53:07: Self-test passed
2024-02-17 02:53:07: SELF TEST END ======================================================
cheers
Chris Maunder
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Thanks Mike, yes I could get the deepstack integration to work however I was being stubborn and wanted to get it working in a function. I asked a developer friend for help and he got it working with this function if anyone else needs it:
var filename = 'image.jpeg';
msg.payload = {
'attachments[0]':{
'value': msg.payload,
'options': {
'filename': filename,
'content-type': 'image/jpg'
}
}
};
msg.headers = {
'Content-Type': 'multipart/form-data',
};
return msg;
send this a single buffer object from a file read or the node-red-contrib-onvif module or use ffmpeg to grab an image from a camera.
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I get the following:
11:02:47:ObjectDetectionYOLOv8: ======================================================================
11:02:47:ObjectDetectionYOLOv8: CodeProject.AI Installer
11:02:47:ObjectDetectionYOLOv8: ======================================================================
11:02:47:ObjectDetectionYOLOv8: 184.07 GiB of 257.00 GiB available on Docker
11:02:47:ObjectDetectionYOLOv8: General CodeProject.AI setup
11:02:47:ObjectDetectionYOLOv8: Setting permissions on downloads folder...Done
11:02:47:ObjectDetectionYOLOv8: Setting permissions on runtimes folder...Done
11:02:47:ObjectDetectionYOLOv8: Setting permissions on persisted data folder...Done
11:02:47:ObjectDetectionYOLOv8: GPU support
11:02:47:ObjectDetectionYOLOv8: CUDA (NVIDIA) Present: Yes (CUDA 11.5, No cuDNN found)
11:02:48:ObjectDetectionYOLOv8: ROCm (AMD) Present: (attempt to install rocminfo... ) No
11:02:48:ObjectDetectionYOLOv8: MPS (Apple) Present: No
11:02:48:ObjectDetectionYOLOv8: Reading module settings.......Done
11:02:48:ObjectDetectionYOLOv8: Processing module ObjectDetectionYOLOv8 1.3.1
11:02:48:ObjectDetectionYOLOv8: Downloaded modules must have local Python install. Changing install location
11:02:48:ObjectDetectionYOLOv8: Installing Python 3.8
11:02:48:ObjectDetectionYOLOv8: Python 3.8 is already installed
11:02:50:ObjectDetectionYOLOv8: Ensuring PIP in base python install... done
11:02:51:ObjectDetectionYOLOv8: Upgrading PIP in base python install... done
11:02:51:ObjectDetectionYOLOv8: Installing Virtual Environment tools for Linux...
11:02:54:ObjectDetectionYOLOv8: Searching for python3-pip python3-setuptools python3.8...All good.
11:03:16:Response timeout. Try increasing the timeout value
I increased the AppSettings Install Timeout from 20 to 30...but this is happening 3 minutes in and I'm not sure what time out I need to increase.
Any suggestions?
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It went on until this:
11:03:16:Response timeout. Try increasing the timeout value
11:04:06:ObjectDetectionYOLOv8: Creating Virtual Environment (Local)... Done
11:04:06:ObjectDetectionYOLOv8: Checking for Python 3.8...(Found Python 3.8.18) All good
11:07:22:ObjectDetectionYOLOv8: Upgrading PIP in virtual environment... done
11:08:07:ObjectDetectionYOLOv8: Installing updated setuptools in venv... Done
11:08:07:ObjectDetectionYOLOv8: [models-yolo8-pt.zip]
11:08:07:ObjectDetectionYOLOv8: End-of-central-directory signature not found. Either this file is not
11:08:07:ObjectDetectionYOLOv8: a zipfile, or it constitutes one disk of a multi-part archive. In the
11:08:07:ObjectDetectionYOLOv8: latter case the central directory and zipfile comment will be found on
11:08:07:ObjectDetectionYOLOv8: the last disk(s) of this archive.
11:08:07:ObjectDetectionYOLOv8: unzip: cannot find zipfile directory in one of models-yolo8-pt.zip or
11:08:07:ObjectDetectionYOLOv8: models-yolo8-pt.zip.zip, and cannot find models-yolo8-pt.zip.ZIP, period.
11:08:08:ObjectDetectionYOLOv8: Downloading Standard YOLO models... already exists...Expanding... Done.
11:08:08:ObjectDetectionYOLOv8: Downloading Custom YOLO models... already exists...Expanding... Done.
11:08:08:ObjectDetectionYOLOv8: Moving contents of custom-models-yolo8-pt.zip to custom-models...done.
11:08:08:ObjectDetectionYOLOv8: Installing Python packages for Object Detection (YOLOv8)
11:08:08:ObjectDetectionYOLOv8: Installing GPU-enabled libraries: If available
11:08:09:ObjectDetectionYOLOv8: Searching for python3-pip...All good.
11:08:11:ObjectDetectionYOLOv8: Ensuring PIP compatibility... Done
11:08:11:ObjectDetectionYOLOv8: Python packages will be specified by requirements.linux.cuda11_5.txt
11:16:54:ObjectDetectionYOLOv8: - Installing PyTorch, an open source machine learning framework... (✅ checked) Done
11:19:07:ObjectDetectionYOLOv8: - Installing TorchVision, for working with computer vision models... (✅ checked) Done
At this point it crashed the CodeProject Container and it restarted.
Upon entering the app again, I get the following:
11:32:49:System: Docker
11:32:49:Operating System: Linux (Linux 5.10.102.1-microsoft-standard-WSL2 #1 SMP Wed Mar 2 00:30:59 UTC 2022)
11:32:49:CPUs: AMD Ryzen Threadripper 3960X 24-Core Processor (AMD)
11:32:49: 1 CPU x 24 cores. 48 logical processors (x64)
11:32:49:GPU (Primary): NVIDIA GeForce RTX 3070 (8 GiB) (NVIDIA)
11:32:49: Driver: 551.23, CUDA: 12.4 (up to: 12.4), Compute: 8.6, cuDNN:
11:32:49:System RAM: 63 GiB
11:32:49:Platform: Linux
11:32:49:BuildConfig: Release
11:32:49:Execution Env: Docker
11:32:49:Runtime Env: Production
11:32:49:.NET framework: .NET 7.0.15
11:32:49:Default Python: 3.10
11:32:49:App DataDir: /etc/codeproject/ai
11:32:49:Video adapter info:
11:32:49:STARTING CODEPROJECT.AI SERVER
11:32:49:RUNTIMES_PATH = /app/runtimes
11:32:49:PREINSTALLED_MODULES_PATH = /app/preinstalled-modules
11:32:49:MODULES_PATH = /app/modules
11:32:49:PYTHON_PATH = /bin/linux/%PYTHON_NAME%/venv/bin/python3
11:32:49:Data Dir = /etc/codeproject/ai
11:32:49:Server version: 2.5.3
11:32:49:Overriding address(es) 'http://+:32168, http://+:5000'. Binding to endpoints defined via IConfiguration and/or UseKestrel() instead.
11:32:52:
11:32:52:Module 'Object Detection (YOLOv5 6.2)' 1.9.1 (ID: ObjectDetectionYOLOv5-6.2)
11:32:52:Valid: True
11:32:52:Module Path: <root>/preinstalled-modules/ObjectDetectionYOLOv5-6.2
11:32:52:AutoStart: True
11:32:52:Queue: objectdetection_queue
11:32:52:Runtime: python3.8
11:32:52:Runtime Loc: Shared
11:32:52:FilePath: detect_adapter.py
11:32:52:Pre installed: True
11:32:52:Start pause: 1 sec
11:32:52:Parallelism: 0
11:32:52:LogVerbosity:
11:32:52:Platforms: all,!raspberrypi,!jetson
11:32:52:GPU Libraries: installed if available
11:32:52:GPU Enabled: enabled
11:32:52:Accelerator:
11:32:52:Half Precis.: enable
11:32:52:Environment Variables
11:32:52:APPDIR = <root>/preinstalled-modules/ObjectDetectionYOLOv5-6.2
11:32:52:CUSTOM_MODELS_DIR = <root>/preinstalled-modules/ObjectDetectionYOLOv5-6.2/custom-models
11:32:52:MODELS_DIR = <root>/preinstalled-modules/ObjectDetectionYOLOv5-6.2/assets
11:32:52:MODEL_SIZE = Medium
11:32:52:USE_CUDA = True
11:32:52:YOLOv5_AUTOINSTALL = false
11:32:52:YOLOv5_VERBOSE = false
11:32:52:
11:32:52:Started Object Detection (YOLOv5 6.2) module
11:32:53:
11:32:53:Module 'Face Processing' 1.10.1 (ID: FaceProcessing)
11:32:53:Valid: True
11:32:53:Module Path: <root>/preinstalled-modules/FaceProcessing
11:32:53:AutoStart: True
11:32:53:Queue: faceprocessing_queue
11:32:53:Runtime: python3.8
11:32:53:Runtime Loc: Shared
11:32:53:FilePath: intelligencelayer/face.py
11:32:53:Pre installed: True
11:32:53:Start pause: 3 sec
11:32:53:Parallelism: 0
11:32:53:LogVerbosity:
11:32:53:Platforms: all,!raspberrypi,!jetson
11:32:53:GPU Libraries: installed if available
11:32:53:GPU Enabled: enabled
11:32:53:Accelerator:
11:32:53:Half Precis.: enable
11:32:53:Environment Variables
11:32:53:APPDIR = <root>/preinstalled-modules/FaceProcessing/intelligencelayer
11:32:53:DATA_DIR = /etc/codeproject/ai
11:32:53:MODE = MEDIUM
11:32:53:MODELS_DIR = <root>/preinstalled-modules/FaceProcessing/assets
11:32:53:PROFILE = desktop_gpu
11:32:53:USE_CUDA = True
11:32:53:YOLOv5_AUTOINSTALL = false
11:32:53:YOLOv5_VERBOSE = false
11:32:53:
11:32:53:Started Face Processing module
11:32:55:Server: This is a new, unreleased version
11:32:56:face.py: GPU in use: NVIDIA GeForce RTX 3070
And when I start it, it only starts as CPU, not GPU.
Here is my container start command:
docker run --name CodeProjectcuda12_2-2.5.3 -d -p 32168:32168 --gpus all --mount type=bind,source=C:\ProgramData\CodeProject\AI\docker\data,target=/etc/codeproject/ai --mount type=bind,source=C:\ProgramData\CodeProject\AI\docker\modules,target=/app/modules codeproject/ai-server:cuda12_2-2.5.3
And here is my system tab:
Server version: 2.5.3
System: Docker
Operating System: Linux (Linux 5.10.102.1-microsoft-standard-WSL2 #1 SMP Wed Mar 2 00:30:59 UTC 2022)
CPUs: AMD Ryzen Threadripper 3960X 24-Core Processor (AMD)
1 CPU x 24 cores. 48 logical processors (x64)
GPU (Primary): NVIDIA GeForce RTX 3070 (8 GiB) (NVIDIA)
Driver: 551.23, CUDA: 12.4 (up to: 12.4), Compute: 8.6, cuDNN:
System RAM: 63 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Docker
Runtime Env: Production
.NET framework: .NET 7.0.15
Default Python: 3.10
Video adapter info:
System GPU info:
GPU 3D Usage 24%
GPU RAM Usage 3.7 GiB
Global Environment variables:
CPAI_APPROOTPATH = <root>
CPAI_PORT = 32168
Hopefully that is everything to help you out with helping me out, hehe.
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Probably oranges and apples.
I have old, ancient NVIDIA card and I have to use NVIDIA-docker run....restofstuff. I am running in a debian system docker image.
>64
It’s weird being the same age as old people. Live every day like it is your last; one day, it will be.
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I figured it out. Thanks!!
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What was the problem and solution?
cheers
Chris Maunder
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I increased the timeout of the "ModuleInstallTimeout" to something crazy (8 hours)
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Hi,
Where can i download 2.5.1 .deb installer for Ubuntu? When downloading this one from here, it references to 2.5.1-RC2 package, as you can see in the image.
Thank you.
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That link downloads 2.5.1-RC2 version, is not the 2.5.4 as zip name suggests.
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I'm having the same problem. I cleared my old version and installed 2.5.4 fresh, only to find that it reinstalled 2.5.1-RC2.
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Can you please try downloading again?
cheers
Chris Maunder
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Been digging through the discussions trying to see if anyone had tried going from 2.1.9 to 2.5.1 and if so were they able to do an in place upgrade. I understand that 2.1.x and later supports in place upgrades, but typically you have to do a couple hops when the dot release number is a few versions ahead of where you are. Is this the case in my situation or should I be able to just run the installer for 2.5.1 and it (cross my fingers) works?
Thanks in advance
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It should in-place upgrade, but I would do a full install just to be safe since you will need to update the modules as well anyway, due to schema and SDK updates.
Is there anything specific you're worried about losing? Custom models, logs, settings?
cheers
Chris Maunder
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