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CodeProject.AI Server: AI the easy way.

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29 Feb 202416 min read 3.1M   488.3K   270   6.7K
Version 2.6.2. Our fast, free, self-hosted Artificial Intelligence Server for any platform, any language
CodeProject.AI Server is a locally installed, self-hosted, fast, free and Open Source Artificial Intelligence server for any platform, any language. No off-device or out of network data transfer, no messing around with dependencies, and able to be used from any platform, any language. Runs as a Windows Service or a Docker container.

Image 1

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CodeProject.AI Server: An Artificial Intelligence Server

For those who want to integrate AI functionality into their applications without writing the AI functionality or dealing with the insanely painful task of ensuring everything is setup correctly. CodeProject.AI Server manages your MLOps for you.

Think of CodeProject.AI Server like a database server: you install it, it runs in the background, and provides AI operations for any application via a simple API. The AI operations are handled by drop-in modules that can be easily created using any language, any stack, as long as that stack runs on the host machine. Python, .NET, node - whatever works for you.

CodeProject.AI server runs as a Windows service, under systemd in Linux, or on startup on macOS. Alternatively there are multiple Docker images for x64, arm64 and CUDA enabled systems. Any language that can make HTTP calls can access the service, and the server does not require an external internet connection. Your data stays in your network.

Image 2 Image 3 Image 4 Image 5 Image 6 Image 7 Image 8 Image 9 Image 10
Windows macOS macOS-arm64 Ubuntu Debian Raspberry Pi Orange Pi Jetson Nano Docker

What Does It Do?

Image 11

The CodeProject.AI Server's Dashboard

Currently CodeProject.AI Server contains AI modules that provide:

  • Object Detection (Python and .NET versions that use YOLO, plus a Tensorflow-Lite module that's ultra-lightweight and great for Raspberry Pi and Coral USB sticks
  • Face Detection and recognition
  • Text processing such as sentiment analysis and summarization
  • Image processing such as background removal, background blur, cartoon-isation and resolution enhancement
  • Model training, including dataset acquisition, for YOLO object detection

How Do I Use It?

Install the server and start making calls to the API. It's that easy.

Guides, Help, FAQs

CodeProject.AI Server Home Assistant Blue Iris

Image 12

The CodeProject.AI Server's Explorer in action

Why We Built CodeProject.AI Server

  • AI programming is something every single developer should be aware of

    We wanted a fun project we could use to help teach developers and get them involved in AI. We'll be using CodeProject.AI Server as a focus for articles and exploration to make it fun and painless to learn AI programming.

    We want your contributions!

  • AI coding examples have too many moving parts

    You need to install packages and languages and extensions to tools, and then updates and libraries (but version X, not version Y) and then you have to configure paths and...Oh, you want to run on Windows not Linux? In that case, you need to... It's all too hard. There was much yelling at CodeProject.

    CodeProject.AI Server includes everything you need in a single installer. CodeProject.AI Server also provides an installation script that will setup your dev environment and get you debugging within a couple of clicks.

  • AI solutions often require the use of cloud services

    If you trust the cloud provider, or understand the billing structure, or can be assured you aren't sending sensitive data or won't go over the free tier, this is fine. If you have a webcam inside your house, or can't work out how much AWS will charge, it's not so OK.

    CodeProject.AI Server can be installed locally. Your machine, your network, no data needs to leave your device.

1: Running and Playing With the Features

  1. Install and Run
    1. For a Windows Service, download the latest version, install, and launch the shortcut to the server's dashboard on your desktop or open a browser to http://localhost:32168.

      If you wish to take advantage of a CUDA enabled NVIDIA GPU, please ensure you have the CUDA drivers installed before you install CodeProject.AI. We recommend CUDA 11.8 if running Windows

    2. For a Docker Container for 64 Bit Linux, run: 
      docker run -p 32168:32168 --name CodeProject.AI -d codeproject/ai-server

      For Docker GPU (supports NVIDIA CUDA), please use:

      docker run --gpus all -p 32168:32168 --name CodeProject.AI -d codeproject/ai-server:cuda11_7
  2. On the dashboard, at the top, is a link to the demo playground. Open that and play!

2: Running and Debugging the Code

  1. Clone the CodeProject CodeProject.AI Server repository.
  2. Make sure you have Visual Studio Code or Visual Studio 2019+ installed.
  3. Run the setup script in /src
  4. Debug the front-end server application (see notes below, but it's easy).

3. Using CodeProject.AI Server in My Application

Here's an example of using the API for scene detection using a simple JavaScript call:

HTML
<html>
<body>
Detect the scene in this file: <input id="image" type="file" />
<input type="button" value="Detect Scene" onclick="detectScene(image)" />

<script>
function detectScene(fileChooser) {
    var formData = new FormData();
    formData.append('image', fileChooser.files[0]);

    fetch('http://localhost:5000/v1/vision/detect/scene', {
        method: "POST",
        body: formData
    })
    .then(response => {
        if (response.ok) response.json().then(data => {
            console.log(`Scene is ${data.label}, ${data.confidence} confidence`)
        });
    });
}
</script>
</body>
</html>

You can include the CodeProject.AI Server installer (or just a link to the latest version of the installer) in your own apps and installers and voila, you have an AI enabled app.

See the API documentation for a complete rundown of functionality.

Notes on the installers

The native installers (Windows, Ubuntu and macOS) all install the server as a service. On Windows it's a Windows service, on Ubuntu it uses systemd, and on macOS it's simply a login item so will start each time you login.

For all platforms, open http://localhost:32168 to view the dashboard.

To uninstall, please take note of the instructions when you install. For reference:

  • Windows uses the standard Windows installer, so use the Control Panel / Apps and Features applet to manage the installation.
     
  • Ubuntu uses dpkg, so to uninstall simply call
    Bash
    sudo dpkg -r codeproject.ai-server
  • macOS uninstall is via the command line
    Shell
    sudo bash "/Library/CodeProject.AI Server/<version>/uninstall.sh"

Notes on CUDA and Nvidia Support

If you have a CUDA enabled Nvidia card, please then ensure you

  1. install the CUDA Drivers (We recommend CUDA 11.7 or CUDA 11.8 if running Windows)
  2. Install CUDA Toolkit 11.8.
  3. Download and run our cuDNN install script to install cuDNN 8.9.4.

Nvidia downloads and drivers are challenging! Please ensure you download a driver that is compatible with CUDA 11.7+, which generally means the CUDA driver version 516.94 or below. Version 522.x or above may not work. You may need to refer to the release notes for each driver to confirm.

Our Docker images are based on CUDA 11.7 (for legacy reasons) and 12.2. As long as you have a driver installed that can handle 11.7 or 12.2 then the docker image will interface with your drivers and work fine.

CUDA 12.2 brings a few challenges with code that uses PyTorch due to the move to Torch 2.0, so we tend to favour 11.7. Some older cards will not be compatible with CUDA 12, or even CUDA 11.7. If you are struggling with older cards that don't support CUDA 11.7 then post a comment and we'll try and help.

Since we are using CUDA 11.7+ (which has support for compute capability 3.7 and above), we can only support Nvidia CUDA cards that are equal to or better than a GK210 or Tesla K80 card. Please refer to this table of supported cards to determine if your card has compute capability 3.7 or above.

Newer cards such as the GTX 10xx, 20xx and 30xx series, RTX, MX series are fully supported.

AI is a memory intensive operation. Some cards with 2GB RAM or less may struggle in some situations. Using the dashboard, you can either disable modules you don't need, or disable GPU support entirely for one or more modules. This will free up memory and help get you back on track.

What Does It Include?

CodeProject.AI Server includes:

  • A HTTP REST API Server. The server listens for requests from other apps, passes them to the backend analysis services for processing, and then passes the results back to the caller. It runs as a simple self-contained web service on your device.
  • Backend Analysis services. The brains of the operation is in the analysis services sitting behind the front end API. All processing of data is done on the current machine. No calls to the cloud and no data leaving the device.
  • The source code, naturally.

CodeProject.AI Server can currently

  • Detect objects in images
  • Detect faces in images
  • Detect the type of scene represented in an image
  • Recognise faces that have been registered with the service
  • Perform detection on custom models

The development environment also provides modules that can

  • Remove a background from an image
  • Blur a background from an image
  • Enhance the resolution of an image
  • Pull out the most important sentences in text to generate a text summary
  • Prove sentiment analysis on text

We will be constantly expanding the feature list.

Our Goals

  • To promote AI development and inspire the AI developer community to dive in and have a go. Artificial Intelligence is a huge paradigm change in the industry and all developers owe it to themselves to experiment in and familiarize themselves with the technology. CodeProject.AI Server was built as a learning tool, a demonstration, and a library and service that can be used out of the box.
  • To make AI development easy. It's not that AI development is that hard. It's that there are so, so many options. Our architecture is designed to allow any AI implementation to find a home in our system, and for our service to be callable from any language.
  • To focus on core use-cases. We're deliberately not a solution for everyone. Instead, we're a solution for common day-to-day needs. We will be adding dozens of modules and scores of AI capabilities to our system, but our goal is always clarity and simplicity over a 100% solution.
  • To tap the expertise of the Developer Community. We're not experts but we know a developer or two out there who are. The true power of CodeProject.AI Server comes from the contributions and improvements from our AI community.

License

CodeProject.AI Server is licensed under the Server-Side Public License.

Release Notes

What's New - 2.6

  • You can now select, at install time, which modules you wish to have initially installed
  • Some modules (Coral, Yolov8) now allow you to download individual models at runtime via the dashboard.
  • A new generative AI module (Llama LLM Chatbot)
  • A standardised way to handle (in code) modules that run long processes such as generative AI
  • Debian support has been improved
  • Small UI improvements to the dashboard
  • Some simplification of the modulesettings files
  • The inclusion, in the source code, of template .NET and Python modules (both simple and long process demos)
  • Improvements to the Coral and ALPR modules (thanks to Seth and Mike)
  • Docker CUDA 12.2 image now includes cuDNN
  • Install script fixes
  • Added Object Segmentation to the YOLOv8 module

Previous Versions

Release 2.5

  • Dynamic Explorer UI: Each module now supplies its own UI for the explorer
  • Improved dashboard and explorer
    • The module listing now shows module version history if you click the version number
    • Explorer benchmark has been updated to use the custom models of the currently active object detection module
    • The Info button on the dashboard now includes a status data dump from the module. For things like object detectors, it will include a dictionary of labels / counts so you can see what's being detected. For longer running modules such as training it will include the training status. This is here to enable better UI features in the future
  • Updated module settings schema that includes module author and original project acknowledgement
  • Installer fixes
  • Improved Jetson support
  • Lots of bug fixes, but specifically there was a script issue affecting module installs, and a modulesettings.json issue affecting the YOLOv5 6.2 module, as well as the SuperResolution module.
  • Updated ALPR, OCR (PP-OCR4 support thanks to Mike Lud) and Coral Object Detection (multi-TPU support thanks to Seth Price) modules
  • Pre-installed modules in Docker can now be uninstalled / reinstalled
  • A new Sound Classifier module has been included
  • 2.5.4: A separate status update from each module that decouples the stats for a module. This just cleans things up a little on the backend
  • 2.5.4: Minor modulesettings.json schema update, which introduces the concept of model requirements.
  • 2.5.5: Support for long running processes with accompanying stable difussion module.

Release 2.4

  • Mesh support Automatically offload inference work to other servers on your network based on inference speed. Zero config, and dashboard support to enable/disable.
  • CUDA detection fixed
  • Module self-test performed on installation
  • YOLOv8 module added
  • YOLOv5 .NET module fixes for GPU, and YOLOv5 3.1 GPU support fixed
  • Python package and .NET installation issues fixed
  • Better prompts for admin-only installs
  • More logging output to help diagnose issues
  • VC Redist hash error fixed
  • General bug fixes.
  • Breaking: modulesettings.json schema changed

Release 2.3

  • A focus on improving the installation of modules at runtime. More error checks, faster re-install, better reporting, and manual fallbacks in situations where admin rights are needed
  • A revamped SDK that removes much (or all, in some cases) of the boilerplate code needed in install scripts
  • Fine grained support for different CUDA versions as well as systems such as Raspberry Pi, Orange Pi and Jetson
  • Support for CUDA 12.2
  • GPU support for PaddlePaddle (OCR and license plate readers benefit)
  • CUDA 12.2 Docker image
  • Lots of bug fixes in install scripts
  • UI tweaks
  • 2.3.4 ALPR now using GPU in Windows
  • 2.3.4 Corrections to Linux/macOS installers

Release 2.2.0

This release is still in testing and is focussed mainly on the installation process

  • An entirely new Windows installer offering more installation options and a smoother upgrade experience from here on.
  • New macOS and Ubuntu native installers, for x64 and arm64 (including Raspberry Pi)
  • A new installation SDK for making module installers far easier
  • Improved installation feedback and self-checks
  • Coral.AI support for Linux, macOS (version 11 and 12 only) and Windows
  • Updates:
    • 2.2.1 - 2.2.3 various installer fixes
    • 2.2.4 - Fix to remove chunking in order to allow HTTP1.1 access to the API (Blue Iris fix)

Release 2.1.x Beta

  • Improved Raspberry Pi support. A new, fast object detection module with support for the Coral.AI TPU, all within an Arm64 Docker image
  • All modules can now be installed / uninstalled (rather than having some modules fixed and uninstallable).
  • Installer is streamlined: Only the server is installed at installation time, and on first run, we install Object Detection (Python and .NET) and Face Processing (which can be uninstalled).
  • Reworking of the Python module SDK. Modules are new child classes, not aggregators of our module runner.
  • Reworking of the modulesettings file to make it simpler and have less replication
  • Improved logging: quantity, quality, filtering and better information
  • Addition of two modules: ObjectDetectionTFLite for Object Detection on Raspberry Pi using Coral, and Cartoonise for some fun
  • Improvements to half-precision support checks on CUDA cards
  • Modules are now versioned and our module registry will now only show modules that fit your current server version.
  • Various bug fixes
  • Shared Python runtimes now in /runtimes.
  • All modules moved from the /AnalysisLayer folder to the /modules folder
  • Tested on CUDA 12
     
  • Patch 2.1.11: YOLO training modulke now allows you to use your own dataset. YOLO 6.2 / Face Processing reverted back to Torch 1.13.
  • Patch 2.1.10: Added YOLOv5 training module and support. Improved system info. Orange Pi and NVIDIA Jetson support. Added Triggers. Renamed VersionCompatibililty to ModuleReleases. Becoz speling.
  • Patch 2.1.9: Increased and adjustable module install timeout and improved install logs. Fixes around resource contention in PyTorch, Fixes to resource usage reporting, improved Native Linux/WSL CUDA setup. Async fixes. Improvements to half-precision support.
  • Patch 2.1.8: Reduced, drastically, the load on the system while getting CPU/GPU usage updates.
  • Patch 2.1.7: Fixed a memory / resource leak that may have been causing server shutdowns
  • Patch 2.1.6 and below: Installer fixes

Please see our CUDA Notes for information on setting up, and restrictions around, Nvidia cards and CUDA support.

If you are upgrading: when the dashboard launches, it might be necessary to force-reload (Ctrl+R on Windows) the dashboard to ensure you are viewing the latest version.

Release 2.0.x Beta

  • 2.0.8: Improved analysis process management. Stamp out those errant memory hogging Python processes!
  • 2.0.7: Improved logging, both file based and in the dashboard, module installer/uninstaller bug fixes
  • 2.0.6: Corrected issues with downloadable modules installer
  • Our new Module Registry: download and install modules at runtime via the dashboard
  • Improved performance for the Object Detection modules
  • Optional YOLO 3.1 Object Detection module for older GPUs
  • Optimised RAM use
  • Support for Raspberry Pi 4+. Code and run natively directly on the Raspberry Pi using VSCode natively
  • Revamped dashboard
  • New timing reporting for each API call
  • New, simplified setup and install scripts

Release 1.6.x Beta

  • Optimised RAM use
  • Ability to enable / disable modules and GPU support via the dashboard
  • REST settings API for updating settings on the fly
  • Apple M1/M2 GPU support
  • Workarounds for some Nvidia cards
  • Async processes and logging for a performance boost
  • Breaking: The CustomObjectDetection is now part of ObjectDetectionYolo
  • Performance fix for CPU + video demo
  • Patch 1.6.7: potential memory leak addressed
  • Patch 1.6.8: image handling improvements on Linux, multi-thread ONNX on .NET

Release 1.5.6.2 Beta

  • Docker nVidia GPU support
  • Further performance improvements
  • cuDNN install script to help with nVidia driver and toolkit installation
  • Bug fixes

Release 1.5.6 Beta

  • nVidia GPU support for Windows
  • Perf improvements to Python modules
  • Work on the Python SDK to make creating modules easier
  • Dev installers now drastically simplified for those creating new modules
  • Added SuperResolution as a demo module

Release 1.5 Beta

  • Support for custom models

Release 1.3.x Beta

  • Refactored and improved setup and module addition system
  • Introduction of modulesettings.json files
  • New analysis modules

Release 1.2.x Beta

  • Support for Apple Silicon for development mode
  • Native Windows installer
  • Runs as Windows Service
  • Run in a Docker Container
  • Installs and builds using VSCode in Linux (Ubuntu), macOS and Windows, as well as Visual Studio on Windows
  • General optimisation of the download payload sizes

Previous

  • We started with a proof of concept on Windows 10+ only. Installs we via a simple BAT script, and the code is full of exciting sharp edges. A simple dashboard and playground are included. Analysis is currently Python code only.
  • Version checks are enabled to alert users to new versions.
  • A new .NET implementation scene detection using the YOLO model to ensure the codebase is platform and tech stack agnostic
  • Blue Iris integration completed.

Written By
CodeProject
Software Developer CodeProject Solutions
Canada Canada
The CodeProject team have been writing software, building communities, and hosting CodeProject.com for over 20 years. We are passionate about helping developers share knowledge, learn new skills, and connect. We believe everyone can code, and every contribution, no matter how small, helps.

The CodeProject team is currently focussing on CodeProject.AI Server, a stand-alone, self-hosted server that provides AI inferencing services on any platform for any language. Learn AI by jumping in the deep end with us: codeproject.com/AI.
This is a Organisation

4 members

Comments and Discussions

 
FirstPrevNext
QuestionStatic Object Detected Pin
Mike Smith Apr202316-Feb-24 11:44
Mike Smith Apr202316-Feb-24 11:44 
AnswerRe: Static Object Detected Pin
Chris Maunder16-Feb-24 16:00
cofounderChris Maunder16-Feb-24 16:00 
Questionyolov8m.pt does not exist Pin
rdcrumbaker16-Feb-24 6:14
rdcrumbaker16-Feb-24 6:14 
AnswerRe: yolov8m.pt does not exist Pin
rdcrumbaker16-Feb-24 6:14
rdcrumbaker16-Feb-24 6:14 
GeneralRe: yolov8m.pt does not exist Pin
rdcrumbaker16-Feb-24 16:06
rdcrumbaker16-Feb-24 16:06 
GeneralRe: yolov8m.pt does not exist Pin
Chris Maunder16-Feb-24 16:09
cofounderChris Maunder16-Feb-24 16:09 
AnswerRe: yolov8m.pt does not exist Pin
Chris Maunder16-Feb-24 16:02
cofounderChris Maunder16-Feb-24 16:02 
GeneralRe: yolov8m.pt does not exist Pin
rdcrumbaker16-Feb-24 16:36
rdcrumbaker16-Feb-24 16:36  
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://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64  InRelease
2024-02-17 01:34:53: Get:2 http://security.ubuntu.com/ubuntu jammy-security InRelease [110 kB]
2024-02-17 01:34:53: Hit:3 https://packages.microsoft.com/ubuntu/22.04/prod jammy InRelease
2024-02-17 01:34:53: Hit:4 http://archive.ubuntu.com/ubuntu jammy InRelease
2024-02-17 01:34:53: Hit:5 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy InRelease
2024-02-17 01:34:54: Get:6 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [119 kB]
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://archive.ubuntu.com/ubuntu jammy-backports InRelease
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://security.ubuntu.com/ubuntu jammy-security InRelease
2024-02-17 01:34:56: Hit:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64  InRelease
2024-02-17 01:34:56: Hit:3 http://archive.ubuntu.com/ubuntu jammy InRelease
2024-02-17 01:34:56: Hit:4 https://packages.microsoft.com/ubuntu/22.04/prod jammy InRelease
2024-02-17 01:34:56: Hit:5 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy InRelease
2024-02-17 01:34:56: Hit:6 http://archive.ubuntu.com/ubuntu jammy-updates InRelease
2024-02-17 01:34:56: Hit:7 http://archive.ubuntu.com/ubuntu jammy-backports InRelease
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://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64  libnvidia-compute-525 525.147.05-0ubuntu1 [50.4 MB]
2024-02-17 01:34:59: Get:2 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcupti11.5 amd64 11.5.114~11.5.1-1ubuntu1 [7696 kB]
2024-02-17 01:35:18: Get:3 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libaccinj64-11.5 amd64 11.5.114~11.5.1-1ubuntu1 [845 kB]
2024-02-17 01:35:21: Get:4 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libcub-dev all 1.15.0-3 [217 kB]
2024-02-17 01:35:21: Get:5 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcublaslt11 amd64 11.7.4.6~11.5.1-1ubuntu1 [148 MB]
2024-02-17 01:47:29: Get:6 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcublas11 amd64 11.7.4.6~11.5.1-1ubuntu1 [78.2 MB]
2024-02-17 01:48:57: Get:7 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcudart11.0 amd64 11.5.117~11.5.1-1ubuntu1 [178 kB]
2024-02-17 01:48:58: Get:8 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcufft10 amd64 11.1.1+~10.6.0.107~11.5.1-1ubuntu1 [70.4 MB]
2024-02-17 01:51:08: Get:9 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcufftw10 amd64 11.1.1+~10.6.0.107~11.5.1-1ubuntu1 [211 kB]
2024-02-17 01:51:09: Get:10 http://archive.ubuntu.com/ubuntu jammy-updates/restricted amd64 libnvidia-compute-510 amd64 525.147.05-0ubuntu0.22.04.1 [7194 B]
2024-02-17 01:51:09: Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/restricted amd64 libnvidia-compute-495 amd64 510.108.03-0ubuntu0.22.04.1 [7378 B]
2024-02-17 01:51:09: Get:12 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcuinj64-11.5 amd64 11.5.114~11.5.1-1ubuntu1 [1004 kB]
2024-02-17 01:51:11: Get:13 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcurand10 amd64 11.1.1+~10.2.7.107~11.5.1-1ubuntu1 [41.8 MB]
2024-02-17 01:52:12: Get:14 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcusolver11 amd64 11.3.2.107~11.5.1-1ubuntu1 [31.3 MB]
2024-02-17 01:53:23: Get:15 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcusolvermg11 amd64 11.3.2.107~11.5.1-1ubuntu1 [17.8 MB]
2024-02-17 01:55:05: Get:16 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcusparse11 amd64 11.7.0.107~11.5.1-1ubuntu1 [96.2 MB]
2024-02-17 01:57:28: Get:17 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnppc11 amd64 11.5.1.107~11.5.1-1ubuntu1 [430 kB]
2024-02-17 01:57:29: Get:18 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnppial11 amd64 11.5.1.107~11.5.1-1ubuntu1 [5234 kB]
2024-02-17 01:57:33: Get:19 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnppicc11 amd64 11.5.1.107~11.5.1-1ubuntu1 [2373 kB]
2024-02-17 01:57:35: Get:20 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnppidei11 amd64 11.5.1.107~11.5.1-1ubuntu1 [2587 kB]
2024-02-17 01:57:39: Get:21 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnppif11 amd64 11.5.1.107~11.5.1-1ubuntu1 [33.8 MB]
2024-02-17 01:58:26: Get:22 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnppig11 amd64 11.5.1.107~11.5.1-1ubuntu1 [14.5 MB]
2024-02-17 01:58:36: Get:23 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnppim11 amd64 11.5.1.107~11.5.1-1ubuntu1 [3037 kB]
2024-02-17 01:58:42: Get:24 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnppist11 amd64 11.5.1.107~11.5.1-1ubuntu1 [13.7 MB]
2024-02-17 01:58:53: Get:25 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnppisu11 amd64 11.5.1.107~11.5.1-1ubuntu1 [177 kB]
2024-02-17 01:58:54: Get:26 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnppitc11 amd64 11.5.1.107~11.5.1-1ubuntu1 [1292 kB]
2024-02-17 01:58:56: Get:27 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnpps11 amd64 11.5.1.107~11.5.1-1ubuntu1 [7116 kB]
2024-02-17 01:59:05: Get:28 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnvblas11 amd64 11.7.4.6~11.5.1-1ubuntu1 [191 kB]
2024-02-17 01:59:06: Get:29 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnvidia-ml-dev amd64 11.5.50~11.5.1-1ubuntu1 [69.1 kB]
2024-02-17 01:59:06: Get:30 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnvjpeg11 amd64 11.5.4.107~11.5.1-1ubuntu1 [1858 kB]
2024-02-17 01:59:10: Get:31 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnvrtc-builtins11.5 amd64 11.5.119~11.5.1-1ubuntu1 [116 kB]
2024-02-17 01:59:11: Get:32 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnvrtc11.2 amd64 11.5.119~11.5.1-1ubuntu1 [15.7 MB]
2024-02-17 01:59:36: Get:33 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnvvm4 amd64 11.5.119~11.5.1-1ubuntu1 [8675 kB]
2024-02-17 01:59:43: Get:34 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libcupti-dev amd64 11.5.114~11.5.1-1ubuntu1 [7915 kB]
2024-02-17 01:59:47: Get:35 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libnvtoolsext1 amd64 11.5.114~11.5.1-1ubuntu1 [28.8 kB]
2024-02-17 01:59:47: Get:36 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 libthrust-dev all 1.15.0-1 [423 kB]
2024-02-17 01:59:48: Get:37 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 nvidia-cuda-dev amd64 11.5.1-1ubuntu1 [667 MB]
2024-02-17 02:04:52: Get:38 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 nvidia-profiler amd64 11.5.114~11.5.1-1ubuntu1 [1732 kB]
2024-02-17 02:04:54: Get:39 http://archive.ubuntu.com/ubuntu jammy/universe amd64 opencl-c-headers all 3.0~2022.01.04-1 [44.5 kB]
2024-02-17 02:04:54: Get:40 http://archive.ubuntu.com/ubuntu jammy/universe amd64 opencl-clhpp-headers all 3.0~2.0.15-1ubuntu1 [42.6 kB]
2024-02-17 02:04:54: Get:41 http://archive.ubuntu.com/ubuntu jammy/universe amd64 ocl-icd-opencl-dev amd64 2.2.14-3 [2426 B]
2024-02-17 02:04:54: Get:42 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 nvidia-opencl-dev amd64 11.5.1-1ubuntu1 [17.8 kB]
2024-02-17 02:04:54: Get:43 http://archive.ubuntu.com/ubuntu jammy/multiverse amd64 nvidia-cuda-toolkit amd64 11.5.1-1ubuntu1 [62.8 MB]
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 ... 
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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) ...
2024-02-17 02:05:05: Selecting previously unselected package libaccinj64-11.5:amd64.
2024-02-17 02:05:05: Preparing to unpack .../01-libaccinj64-11.5_11.5.114~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:05: Unpacking libaccinj64-11.5:amd64 (11.5.114~11.5.1-1ubuntu1) ...
2024-02-17 02:05:05: Selecting previously unselected package libcub-dev.
2024-02-17 02:05:05: Preparing to unpack .../02-libcub-dev_1.15.0-3_all.deb ...
2024-02-17 02:05:05: Unpacking libcub-dev (1.15.0-3) ...
2024-02-17 02:05:06: Selecting previously unselected package libcublaslt11:amd64.
2024-02-17 02:05:06: Preparing to unpack .../03-libcublaslt11_11.7.4.6~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:06: Unpacking libcublaslt11:amd64 (11.7.4.6~11.5.1-1ubuntu1) ...
2024-02-17 02:05:07: Selecting previously unselected package libcublas11:amd64.
2024-02-17 02:05:07: Preparing to unpack .../04-libcublas11_11.7.4.6~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:07: Unpacking libcublas11:amd64 (11.7.4.6~11.5.1-1ubuntu1) ...
2024-02-17 02:05:08: Selecting previously unselected package libcudart11.0:amd64.
2024-02-17 02:05:08: Preparing to unpack .../05-libcudart11.0_11.5.117~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:08: Unpacking libcudart11.0:amd64 (11.5.117~11.5.1-1ubuntu1) ...
2024-02-17 02:05:08: Selecting previously unselected package libcufft10:amd64.
2024-02-17 02:05:08: Preparing to unpack .../06-libcufft10_11.1.1+~10.6.0.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:08: Unpacking libcufft10:amd64 (11.1.1+~10.6.0.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:09: Selecting previously unselected package libcufftw10:amd64.
2024-02-17 02:05:09: Preparing to unpack .../07-libcufftw10_11.1.1+~10.6.0.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:09: Unpacking libcufftw10:amd64 (11.1.1+~10.6.0.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:09: Selecting previously unselected package libnvidia-compute-525:amd64.
2024-02-17 02:05:09: Preparing to unpack .../08-libnvidia-compute-525_525.147.05-0ubuntu1_amd64.deb ...
2024-02-17 02:05:09: Unpacking libnvidia-compute-525:amd64 (525.147.05-0ubuntu1) ...
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
2024-02-17 02:05:14: Selecting previously unselected package libnvidia-compute-510:amd64.
2024-02-17 02:05:14: Preparing to unpack .../09-libnvidia-compute-510_525.147.05-0ubuntu0.22.04.1_amd64.deb ...
2024-02-17 02:05:14: Unpacking libnvidia-compute-510:amd64 (525.147.05-0ubuntu0.22.04.1) ...
2024-02-17 02:05:14: Selecting previously unselected package libnvidia-compute-495:amd64.
2024-02-17 02:05:14: Preparing to unpack .../10-libnvidia-compute-495_510.108.03-0ubuntu0.22.04.1_amd64.deb ...
2024-02-17 02:05:14: Unpacking libnvidia-compute-495:amd64 (510.108.03-0ubuntu0.22.04.1) ...
2024-02-17 02:05:14: Selecting previously unselected package libcuinj64-11.5:amd64.
2024-02-17 02:05:14: Preparing to unpack .../11-libcuinj64-11.5_11.5.114~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:14: Unpacking libcuinj64-11.5:amd64 (11.5.114~11.5.1-1ubuntu1) ...
2024-02-17 02:05:14: Selecting previously unselected package libcurand10:amd64.
2024-02-17 02:05:14: Preparing to unpack .../12-libcurand10_11.1.1+~10.2.7.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:14: Unpacking libcurand10:amd64 (11.1.1+~10.2.7.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:14: Selecting previously unselected package libcusolver11:amd64.
2024-02-17 02:05:14: Preparing to unpack .../13-libcusolver11_11.3.2.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:14: Unpacking libcusolver11:amd64 (11.3.2.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:15: Selecting previously unselected package libcusolvermg11:amd64.
2024-02-17 02:05:15: Preparing to unpack .../14-libcusolvermg11_11.3.2.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:15: Unpacking libcusolvermg11:amd64 (11.3.2.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:16: Selecting previously unselected package libcusparse11:amd64.
2024-02-17 02:05:16: Preparing to unpack .../15-libcusparse11_11.7.0.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:16: Unpacking libcusparse11:amd64 (11.7.0.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:17: Selecting previously unselected package libnppc11:amd64.
2024-02-17 02:05:17: Preparing to unpack .../16-libnppc11_11.5.1.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:17: Unpacking libnppc11:amd64 (11.5.1.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:17: Selecting previously unselected package libnppial11:amd64.
2024-02-17 02:05:17: Preparing to unpack .../17-libnppial11_11.5.1.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:17: Unpacking libnppial11:amd64 (11.5.1.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:17: Selecting previously unselected package libnppicc11:amd64.
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2024-02-17 02:05:17: Unpacking libnppicc11:amd64 (11.5.1.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:17: Selecting previously unselected package libnppidei11:amd64.
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2024-02-17 02:05:17: Unpacking libnppidei11:amd64 (11.5.1.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:17: Selecting previously unselected package libnppif11:amd64.
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2024-02-17 02:05:17: Unpacking libnppif11:amd64 (11.5.1.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:18: Selecting previously unselected package libnppig11:amd64.
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2024-02-17 02:05:18: Unpacking libnppig11:amd64 (11.5.1.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:18: Selecting previously unselected package libnppim11:amd64.
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2024-02-17 02:05:18: Unpacking libnppim11:amd64 (11.5.1.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:18: Selecting previously unselected package libnppist11:amd64.
2024-02-17 02:05:18: Preparing to unpack .../23-libnppist11_11.5.1.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:18: Unpacking libnppist11:amd64 (11.5.1.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:18: Selecting previously unselected package libnppisu11:amd64.
2024-02-17 02:05:18: Preparing to unpack .../24-libnppisu11_11.5.1.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:18: Unpacking libnppisu11:amd64 (11.5.1.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:18: Selecting previously unselected package libnppitc11:amd64.
2024-02-17 02:05:18: Preparing to unpack .../25-libnppitc11_11.5.1.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:18: Unpacking libnppitc11:amd64 (11.5.1.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:18: Selecting previously unselected package libnpps11:amd64.
2024-02-17 02:05:18: Preparing to unpack .../26-libnpps11_11.5.1.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:19: Unpacking libnpps11:amd64 (11.5.1.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:19: Selecting previously unselected package libnvblas11:amd64.
2024-02-17 02:05:19: Preparing to unpack .../27-libnvblas11_11.7.4.6~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:19: Unpacking libnvblas11:amd64 (11.7.4.6~11.5.1-1ubuntu1) ...
2024-02-17 02:05:19: Selecting previously unselected package libnvidia-ml-dev:amd64.
2024-02-17 02:05:19: Preparing to unpack .../28-libnvidia-ml-dev_11.5.50~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:19: Unpacking libnvidia-ml-dev:amd64 (11.5.50~11.5.1-1ubuntu1) ...
2024-02-17 02:05:19: Selecting previously unselected package libnvjpeg11:amd64.
2024-02-17 02:05:19: Preparing to unpack .../29-libnvjpeg11_11.5.4.107~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:19: Unpacking libnvjpeg11:amd64 (11.5.4.107~11.5.1-1ubuntu1) ...
2024-02-17 02:05:19: Selecting previously unselected package libnvrtc-builtins11.5:amd64.
2024-02-17 02:05:19: Preparing to unpack .../30-libnvrtc-builtins11.5_11.5.119~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:19: Unpacking libnvrtc-builtins11.5:amd64 (11.5.119~11.5.1-1ubuntu1) ...
2024-02-17 02:05:19: Selecting previously unselected package libnvrtc11.2:amd64.
2024-02-17 02:05:19: Preparing to unpack .../31-libnvrtc11.2_11.5.119~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:19: Unpacking libnvrtc11.2:amd64 (11.5.119~11.5.1-1ubuntu1) ...
2024-02-17 02:05:19: Selecting previously unselected package libnvvm4:amd64.
2024-02-17 02:05:19: Preparing to unpack .../32-libnvvm4_11.5.119~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:19: Unpacking libnvvm4:amd64 (11.5.119~11.5.1-1ubuntu1) ...
2024-02-17 02:05:20: Selecting previously unselected package libcupti-dev:amd64.
2024-02-17 02:05:20: Preparing to unpack .../33-libcupti-dev_11.5.114~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:20: Unpacking libcupti-dev:amd64 (11.5.114~11.5.1-1ubuntu1) ...
2024-02-17 02:05:20: Selecting previously unselected package libnvtoolsext1:amd64.
2024-02-17 02:05:20: Preparing to unpack .../34-libnvtoolsext1_11.5.114~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:20: Unpacking libnvtoolsext1:amd64 (11.5.114~11.5.1-1ubuntu1) ...
2024-02-17 02:05:20: Selecting previously unselected package libthrust-dev.
2024-02-17 02:05:20: Preparing to unpack .../35-libthrust-dev_1.15.0-1_all.deb ...
2024-02-17 02:05:20: Unpacking libthrust-dev (1.15.0-1) ...
2024-02-17 02:05:20: Selecting previously unselected package nvidia-cuda-dev:amd64.
2024-02-17 02:05:20: Preparing to unpack .../36-nvidia-cuda-dev_11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:20: Unpacking nvidia-cuda-dev:amd64 (11.5.1-1ubuntu1) ...
2024-02-17 02:05:28: Selecting previously unselected package nvidia-profiler.
2024-02-17 02:05:28: Preparing to unpack .../37-nvidia-profiler_11.5.114~11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:28: Unpacking nvidia-profiler (11.5.114~11.5.1-1ubuntu1) ...
2024-02-17 02:05:28: Selecting previously unselected package opencl-c-headers.
2024-02-17 02:05:28: Preparing to unpack .../38-opencl-c-headers_3.0~2022.01.04-1_all.deb ...
2024-02-17 02:05:28: Unpacking opencl-c-headers (3.0~2022.01.04-1) ...
2024-02-17 02:05:28: Selecting previously unselected package opencl-clhpp-headers.
2024-02-17 02:05:28: Preparing to unpack .../39-opencl-clhpp-headers_3.0~2.0.15-1ubuntu1_all.deb ...
2024-02-17 02:05:29: Unpacking opencl-clhpp-headers (3.0~2.0.15-1ubuntu1) ...
2024-02-17 02:05:29: Selecting previously unselected package ocl-icd-opencl-dev:amd64.
2024-02-17 02:05:29: Preparing to unpack .../40-ocl-icd-opencl-dev_2.2.14-3_amd64.deb ...
2024-02-17 02:05:29: Unpacking ocl-icd-opencl-dev:amd64 (2.2.14-3) ...
2024-02-17 02:05:29: Selecting previously unselected package nvidia-opencl-dev:amd64.
2024-02-17 02:05:29: Preparing to unpack .../41-nvidia-opencl-dev_11.5.1-1ubuntu1_amd64.deb ...
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.
2024-02-17 02:05:29: Preparing to unpack .../42-nvidia-cuda-toolkit_11.5.1-1ubuntu1_amd64.deb ...
2024-02-17 02:05:29: Unpacking nvidia-cuda-toolkit (11.5.1-1ubuntu1) ...
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://pip.pypa.io/warnings/venv
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://download.pytorch.org/whl/torch_stable.html
2024-02-17 02:10:51: Collecting torch==1.12.1+cu113
2024-02-17 02:10:51:   Downloading https://download.pytorch.org/whl/cu113/torch-1.12.1%2Bcu113-cp38-cp38-linux_x86_64.whl (1837.7 MB)
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://download.pytorch.org/whl/torch_stable.html
2024-02-17 02:21:22: Collecting torchvision==0.13.1+cu113
2024-02-17 02:21:23:   Downloading https://download.pytorch.org/whl/cu113/torchvision-0.13.1%2Bcu113-cp38-cp38-linux_x86_64.whl (23.4 MB)
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://download.pytorch.org/whl/rocm5.1.1/torch-1.12.1%2Brocm5.1.1-cp38-cp38-linux_x86_64.whl (1354.7 MB)
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)
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2024-02-17 02:30:26: Collecting requests>=2.23.0 (from ultralytics==8.1.2)
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2024-02-17 02:30:27: Collecting torch>=1.8.0 (from ultralytics==8.1.2)
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2024-02-17 02:30:27: Collecting torchvision>=0.9.0 (from ultralytics==8.1.2)
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2024-02-17 02:30:29: Collecting pandas>=1.1.4 (from ultralytics==8.1.2)
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2024-02-17 02:30:29: Collecting seaborn>=0.11.0 (from ultralytics==8.1.2)
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2024-02-17 02:30:30: Collecting packaging>=20.0 (from matplotlib>=3.3.0->ultralytics==8.1.2)
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2024-02-17 02:39:27:    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 20.5/20.5 MB 441.8 kB/s eta 0:00:00
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
GeneralRe: yolov8m.pt does not exist Pin
rdcrumbaker16-Feb-24 16:18
rdcrumbaker16-Feb-24 16:18 
GeneralRe: yolov8m.pt does not exist Pin
Chris Maunder17-Feb-24 2:58
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QuestionNode-Red http request Pin
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AnswerRe: Node-Red http request Pin
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GeneralRe: Node-Red http request Pin
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QuestionInstalling ObjectDetectionYOLOv8 Pin
rdcrumbaker15-Feb-24 6:17
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AnswerRe: Installing ObjectDetectionYOLOv8 Pin
rdcrumbaker15-Feb-24 6:45
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GeneralRe: Installing ObjectDetectionYOLOv8 Pin
theoldfool16-Feb-24 3:30
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GeneralRe: Installing ObjectDetectionYOLOv8 Pin
rdcrumbaker16-Feb-24 5:17
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GeneralRe: Installing ObjectDetectionYOLOv8 Pin
Chris Maunder16-Feb-24 16:05
cofounderChris Maunder16-Feb-24 16:05 
GeneralRe: Installing ObjectDetectionYOLOv8 Pin
rdcrumbaker16-Feb-24 16:17
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QuestionHow to download 2.5.1 Ubuntu (.deb) installer? Pin
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AnswerRe: How to download 2.5.1 Ubuntu (.deb) installer? Pin
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Posted 16 Jan 2022

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