Unpacking Software Livestream

Join our monthly Unpacking Software livestream to hear about the latest news, chat and opinion on packaging, software deployment and lifecycle management!

Learn More

Chocolatey Product Spotlight

Join the Chocolatey Team on our regular monthly stream where we put a spotlight on the most recent Chocolatey product releases. You'll have a chance to have your questions answered in a live Ask Me Anything format.

Learn More

Chocolatey Coding Livestream

Join us for the Chocolatey Coding Livestream, where members of our team dive into the heart of open source development by coding live on various Chocolatey projects. Tune in to witness real-time coding, ask questions, and gain insights into the world of package management. Don't miss this opportunity to engage with our team and contribute to the future of Chocolatey!

Learn More

Calling All Chocolatiers! Whipping Up Windows Automation with Chocolatey Central Management

Webinar from
Wednesday, 17 January 2024

We are delighted to announce the release of Chocolatey Central Management v0.12.0, featuring seamless Deployment Plan creation, time-saving duplications, insightful Group Details, an upgraded Dashboard, bug fixes, user interface polishing, and refined documentation. As an added bonus we'll have members of our Solutions Engineering team on-hand to dive into some interesting ways you can leverage the new features available!

Watch On-Demand
Chocolatey Community Coffee Break

Join the Chocolatey Team as we discuss all things Community, what we do, how you can get involved and answer your Chocolatey questions.

Watch The Replays
Chocolatey and Intune Overview

Webinar Replay from
Wednesday, 30 March 2022

At Chocolatey Software we strive for simple, and teaching others. Let us teach you just how simple it could be to keep your 3rd party applications updated across your devices, all with Intune!

Watch On-Demand
Chocolatey For Business. In Azure. In One Click.

Livestream from
Thursday, 9 June 2022

Join James and Josh to show you how you can get the Chocolatey For Business recommended infrastructure and workflow, created, in Azure, in around 20 minutes.

Watch On-Demand
The Future of Chocolatey CLI

Livestream from
Thursday, 04 August 2022

Join Paul and Gary to hear more about the plans for the Chocolatey CLI in the not so distant future. We'll talk about some cool new features, long term asks from Customers and Community and how you can get involved!

Watch On-Demand
Hacktoberfest Tuesdays 2022

Livestreams from
October 2022

For Hacktoberfest, Chocolatey ran a livestream every Tuesday! Re-watch Cory, James, Gary, and Rain as they share knowledge on how to contribute to open-source projects such as Chocolatey CLI.

Watch On-Demand

Downloads:

118,627

Downloads of v 4.9.0:

3,750

Last Update:

02 Jan 2024

Package Maintainer(s):

Software Author(s):

  • Itseez

Tags:

opencv programming library image processing

OpenCV

  • 1
  • 2
  • 3

4.9.0 | Updated: 02 Jan 2024

Downloads:

118,627

Downloads of v 4.9.0:

3,750

Maintainer(s):

Software Author(s):

  • Itseez

OpenCV 4.9.0

  • 1
  • 2
  • 3

All Checks are Passing

3 Passing Tests


Validation Testing Passed


Verification Testing Passed

Details

Scan Testing Successful:

No detections found in any package files

Details
Learn More

Deployment Method: Individual Install, Upgrade, & Uninstall

To install OpenCV, run the following command from the command line or from PowerShell:

>

To upgrade OpenCV, run the following command from the command line or from PowerShell:

>

To uninstall OpenCV, run the following command from the command line or from PowerShell:

>

Deployment Method:

NOTE

This applies to both open source and commercial editions of Chocolatey.

1. Enter Your Internal Repository Url

(this should look similar to https://community.chocolatey.org/api/v2/)


2. Setup Your Environment

1. Ensure you are set for organizational deployment

Please see the organizational deployment guide

2. Get the package into your environment

  • Open Source or Commercial:
    • Proxy Repository - Create a proxy nuget repository on Nexus, Artifactory Pro, or a proxy Chocolatey repository on ProGet. Point your upstream to https://community.chocolatey.org/api/v2/. Packages cache on first access automatically. Make sure your choco clients are using your proxy repository as a source and NOT the default community repository. See source command for more information.
    • You can also just download the package and push it to a repository Download

3. Copy Your Script

choco upgrade opencv -y --source="'INTERNAL REPO URL'" [other options]

See options you can pass to upgrade.

See best practices for scripting.

Add this to a PowerShell script or use a Batch script with tools and in places where you are calling directly to Chocolatey. If you are integrating, keep in mind enhanced exit codes.

If you do use a PowerShell script, use the following to ensure bad exit codes are shown as failures:


choco upgrade opencv -y --source="'INTERNAL REPO URL'" 
$exitCode = $LASTEXITCODE

Write-Verbose "Exit code was $exitCode"
$validExitCodes = @(0, 1605, 1614, 1641, 3010)
if ($validExitCodes -contains $exitCode) {
  Exit 0
}

Exit $exitCode

- name: Install opencv
  win_chocolatey:
    name: opencv
    version: '4.9.0'
    source: INTERNAL REPO URL
    state: present

See docs at https://docs.ansible.com/ansible/latest/modules/win_chocolatey_module.html.


chocolatey_package 'opencv' do
  action    :install
  source   'INTERNAL REPO URL'
  version  '4.9.0'
end

See docs at https://docs.chef.io/resource_chocolatey_package.html.


cChocoPackageInstaller opencv
{
    Name     = "opencv"
    Version  = "4.9.0"
    Source   = "INTERNAL REPO URL"
}

Requires cChoco DSC Resource. See docs at https://github.com/chocolatey/cChoco.


package { 'opencv':
  ensure   => '4.9.0',
  provider => 'chocolatey',
  source   => 'INTERNAL REPO URL',
}

Requires Puppet Chocolatey Provider module. See docs at https://forge.puppet.com/puppetlabs/chocolatey.


4. If applicable - Chocolatey configuration/installation

See infrastructure management matrix for Chocolatey configuration elements and examples.

NOTE

Private CDN cached downloads available for licensed customers. Never experience 404 breakages again! Learn more...

Package Approved

This package was approved as a trusted package on 02 Jan 2024.

Description

OpenCV is released under a BSD license and hence it's free for both academic and commercial use. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform. Adopted all around the world, OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 9 million. Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics.

Package Info

This version is from the master branch of development, which is the cutting edge of OpenCV development.

This package installs precompiled OpenCV binaries. This does not allow you to customize the features compiled into your installation. This download is about 172 MB.
If you wish to customize the features compiled in your installation, then you must compile OpenCV yourself. This requires Git and CMake. You can follow the instructions at opencv.org to build using Microsoft Visual Studio.

Package Parameters

Pass the package argument /InstallationPath to set where OpenCV will unzip itself. Left alone, it will unzip in your Chocolatey Tools directory. Remember, it will always unzip itself to a new folder called \opencv in the directory you chose.
Pass the package argument /Environment to add OpenCV to your user environment variables, which may or may not be necessary depending on your specific needs. Check the installation guide on OpenCV's website to determine the precise directory structure you want to add to your
path. The OPENCV_DIR variable will be created/replaced, and Path will be appended with %OPENCV_DIR%\bin.

Examples

Add the install path to your environment: choco install opencv --package-parameters '/Environment'
Install to a specific directory: choco install opencv --package-parameters '/InstallationPath:'C:\test'
Install to a specific directory and add to your environment: choco install opencv --package-parameters '/InstallationPath:'C:\test' /Environment'


tools\chocolateyinstall.ps1
$arguments = @{}
$packageParameters = $env:chocolateyPackageParameters
$ErrorActionPreference = 'Stop';
$packageName= 'OpenCV'
$toolsDir   = "$(Split-Path -parent $MyInvocation.MyCommand.Definition)"
$url        = 'https://github.com/opencv/opencv/releases/download/4.9.0/opencv-4.9.0-windows.exe'
$checksum = 'fefddff0623fbd5a6fa0cecb9bccd4b822478354e6c587ebb6e40ab09dacba51'
$checksumType = 'sha256'
$installationPath = Get-ToolsLocation

if ($packageParameters) {
    $match_pattern = "\/(?<option>([a-zA-Z]+)):(?<value>([`"'])?([a-zA-Z0-9- _\\:\.]+)([`"'])?)|\/(?<option>([a-zA-Z]+))"
    $option_name = 'option'
    $value_name = 'value'

    if ($packageParameters -match $match_pattern ) {
        $results = $packageParameters | Select-String $match_pattern -AllMatches
        $results.matches | % {
            $arguments.Add(
            $_.Groups[$option_name].Value.Trim(),
            $_.Groups[$value_name].Value.Trim())
        }
    }
    else {
        Throw "Package Parameters were found but were invalid (REGEX Failure)"
    }

    if ($arguments.ContainsKey("InstallationPath")) {
        Write-Host "You chose to unzip OpenCV in" $arguments["InstallationPath"]
        $installationPath = $arguments["InstallationPath"]
    }
    else {
		Write-Host "No directory specified, installing to" $installationPath
	}

    if ($arguments.ContainsKey("Environment")) {
        Write-Host "Creating OPENCV_DIR environment variable."
        $newpath = [environment]::GetEnvironmentVariable("Path","User") + ";%OPENCV_DIR%\bin"
        [environment]::SetEnvironmentVariable("OPENCV_DIR",$arguments["Environment"],"User")
        [environment]::SetEnvironmentVariable("Path",$newpath,"User")
    }
    else {
        Write-Host "You will need to manually create an OPENCV_DIR environment variable then add %OPENCV_DIR%\bin to your PATH.  Read the OpenCV documentation for more details."
    }
}

else {
	Write-Host "No directory specified, installing to" $installationPath"."
	Write-Host "To install to a specific directory, pass '/InstallationPath:C:\path\to'. OpenCV will create its own folder within the directory you passed."
	Write-Host "You will need to manually create an OPENCV_DIR environment variable then add %OPENCV_DIR%\bin to your PATH."
    Write-Host "Alternately, you can rerun this and pass '/Environment:C:\path\to' Follow the OpenCV instructions on their website to figure out which directory you would want."
}

$packageArgs = @{
		packageName		= $packageName
		unzipLocation	= $installationPath
		fileType		= 'EXE'
		url				= $url
		checksum		= $checksum
		checksumType	= $checksumType
}

Install-ChocolateyZipPackage @packageArgs

Log in or click on link to see number of positives.

In cases where actual malware is found, the packages are subject to removal. Software sometimes has false positives. Moderators do not necessarily validate the safety of the underlying software, only that a package retrieves software from the official distribution point and/or validate embedded software against official distribution point (where distribution rights allow redistribution).

Chocolatey Pro provides runtime protection from possible malware.

Add to Builder Version Downloads Last Updated Status
OpenCV 4.8.1 3486 Thursday, October 5, 2023 Approved
OpenCV 4.8.0 442 Saturday, October 7, 2023 Approved
OpenCV 4.7.0 5502 Wednesday, May 31, 2023 Approved
OpenCV 4.6.0 10691 Friday, September 23, 2022 Approved
OpenCV 4.5.5 12630 Tuesday, January 4, 2022 Approved
OpenCV 4.5.4 1695 Tuesday, December 7, 2021 Approved
OpenCV 4.5.3 6019 Tuesday, July 6, 2021 Approved
OpenCV 4.5.2 4511 Wednesday, April 7, 2021 Approved
OpenCV 4.5.1 2616 Wednesday, March 10, 2021 Approved
OpenCV 4.5.0 347 Wednesday, March 10, 2021 Approved
OpenCV 4.4.0 236 Wednesday, March 10, 2021 Approved
OpenCV 4.3.0 102 Wednesday, March 10, 2021 Approved
OpenCV 4.2.0 211 Tuesday, March 16, 2021 Approved
OpenCV 4.1.2 9590 Sunday, October 20, 2019 Approved
OpenCV 4.1.1 2420 Monday, July 29, 2019 Approved
OpenCV 4.1.0 10802 Tuesday, April 9, 2019 Approved
OpenCV 4.0.1 3019 Wednesday, January 2, 2019 Approved
OpenCV 4.0.0 1568 Monday, November 26, 2018 Approved
OpenCV 4.0.0-rc 271 Monday, November 26, 2018 Approved
OpenCV 4.0.0-beta 296 Thursday, October 25, 2018 Approved
OpenCV 4.0.0-alpha 241 Wednesday, October 24, 2018 Approved
OpenCV 3.4.16 1393 Tuesday, December 7, 2021 Approved
OpenCV 3.4.15 265 Tuesday, July 6, 2021 Approved
OpenCV 3.4.14 247 Wednesday, April 7, 2021 Approved
OpenCV 3.4.13 191 Wednesday, March 10, 2021 Approved
OpenCV 3.4.12 90 Wednesday, March 10, 2021 Approved
OpenCV 3.4.11 99 Wednesday, March 10, 2021 Approved
OpenCV 3.4.10 153 Wednesday, March 10, 2021 Approved
OpenCV 3.4.9 165 Tuesday, March 16, 2021 Approved
OpenCV 3.4.8 1017 Sunday, October 20, 2019 Approved
OpenCV 3.4.7 527 Monday, July 29, 2019 Approved
OpenCV 3.4.6 1241 Tuesday, April 9, 2019 Approved
OpenCV 3.4.5 286 Wednesday, January 2, 2019 Approved
OpenCV 3.4.4 312 Monday, November 26, 2018 Approved
OpenCV 3.4.3 1104 Wednesday, October 24, 2018 Approved
OpenCV 3.4.2 1241 Friday, July 27, 2018 Approved
OpenCV 3.4.1 9629 Sunday, March 11, 2018 Approved
OpenCV 3.4.0 1326 Tuesday, January 9, 2018 Approved
OpenCV 3.3.1 944 Wednesday, November 29, 2017 Approved
OpenCV 3.3.0 1621 Thursday, November 9, 2017 Approved
OpenCV 3.2.0 3613 Thursday, March 9, 2017 Approved
OpenCV 3.1.0.20160701 2123 Saturday, July 2, 2016 Approved
OpenCV 3.1.0 786 Thursday, February 18, 2016 Approved
OpenCV 2.4.13.6 667 Sunday, March 11, 2018 Approved
OpenCV 2.4.13.5 382 Thursday, January 18, 2018 Approved
OpenCV 2.4.13.4 388 Tuesday, January 9, 2018 Approved
OpenCV 2.4.13.3 369 Tuesday, November 28, 2017 Approved
OpenCV 2.4.13.2 362 Thursday, November 9, 2017 Approved
OpenCV 2.4.13 2459 Wednesday, June 15, 2016 Approved
OpenCV 2.4.9.20140518 2425 Sunday, May 18, 2014 Approved
OpenCV 2.4.0.20130419 691 Friday, April 19, 2013 Approved
OpenCV 2.4.0.20130418 563 Thursday, April 18, 2013 Approved
OpenCV 2.4.0.1 600 Wednesday, April 17, 2013 Approved
OpenCV 2.4.0 903 Wednesday, April 17, 2013 Approved

version:4.9.0

December, 2023

New Year's update for OpenCV 4.x has been released. The release also includes OpenCV Model Zoo.

  • Core Module:

    • #23965 added cv::broadcast
    • #24163 Fixed several rounding issues on ARM platform
    • #24420 added detection & dispatching of some modern NEON instructions (NEON_FP16, NEON_BF16)
    • #23929 added optimization for LoongArch 128-bit vector, detection & dispatching of LoongArch

  • DNN module patches:
    • Experimental transformers support
    • #24476 ONNX Attention layer support
    • #24037 ONNX Einsum layer support
    • #23987 OpenVINO backend for INT8 models
    • #24092 ONNX Gather Elements layer
    • #24378 ONNX InstanceNorm layer
    • #24295 better support of ONNX Expand layer with cv::broadcast
    • #24463 #24577 #24483 Improved DNN graph fusion with shared nodes and commutative operations
    • #23897 #24694 #24509 New fastGEMM implementation and several layers on top of it
    • #23654 Winograd fp16 optimizations on ARM
    • Tests and multiple fixes for Yolo family models support
    • New layers support and bug fixes in CUDA backend: GEMM, Gelu, Add
    • #24462 CANN backend: bug fix, support HardSwish, LayerNormalization and InstanceNormalization
    • #24552 LayerNormalization: support OpenVINO, OpenCL and CUDA backend.

  • G-API module:

    • TBD

  • Objdetect module:

    • #24299 Implemented own QR code decoder as replacement for QUIRC library
    • #24364 Bug fixes in QR code encoder version estimation
    • #24355 More accurate Aruco marker corner refinement with dynamic window
    • #24479 Fixed contour filtering in ArUco
    • #24598 QR code detection sample for Android
    • Multiple local bug fixes and documentation update for Aruco makers, Charuco boards and QR codes.
  • Video:

    • #24201 Google Summer of Code: added a new object tracking API TrackerVit for a vision transformer-based VitTrack. This work is done by LIU Pengyu.
  • VideoIO:

    • #24363 videoio: Add raw encoded video stream encapsulation to cv::VideoWriter with CAP_FFMPEG
    • #24243 Fix GStreamer backend with manual pipelines.
  • Calibration module:

    • Multiple fixes and improvements chess board calibration rig detector.
    • #23025 calibrateCamera throws exception, if calibration system is underconstrained.
    • #24482 Fixed bug in findEssentialMat with USAC
    • #24527 Fixed out-of-image access in cv::cornerSubPix
    • #23607 Fixed crash in ap3p
    • #24035 Fixed stereoRectify image boundaries
    • #24211 Fixed "use after free" issue in essential_solver.cpp
  • Python Bindings:

    • #24023, #24022, #23910 Added type stub generation for missed types and manually wrapped types.
    • #24026 Added read-only flag handling for Numpy arrays.
    • #24028 Fixed exception handling and bindings for in module.
    • #23958 Improved error messages in Numpy array type handling.
    • #24468 Fixed constructors documentation in Python.
  • Android:

    • New Android Archive Package (AAR) distrubuted with Maven Central
    • Finally removed API for OpenCV manager. OpenCVLoader.initLocal() should be used to initialize OpenCV.
    • New Android samples: QR code detector, video IO sample. DNN and Face Detector samples refresh.
    • Switch to Gradle 7.6.3, modern Android tools.
  • Platforms and hardware Support:

    • #23021 Experimental CUDA support as first class language in CMake
    • #24136 Added experimental support for Apple VisionOS platform
    • #24666 Add support Orbbec Gemini2 and Gemini2 XL camera
    • #24098 Fix fullscreen behavior on macOS
  • Other:

    • TBD
    • OpenCV Summer of Code: semi-automated refactoring across multiple pull requests by HAN Liutong made our CPU-optimized code compatible with SIMD with variable vector length (RISC-V RVV)

This package has no dependencies.

Discussion for the OpenCV Package

Ground Rules:

  • This discussion is only about OpenCV and the OpenCV package. If you have feedback for Chocolatey, please contact the Google Group.
  • This discussion will carry over multiple versions. If you have a comment about a particular version, please note that in your comments.
  • The maintainers of this Chocolatey Package will be notified about new comments that are posted to this Disqus thread, however, it is NOT a guarantee that you will get a response. If you do not hear back from the maintainers after posting a message below, please follow up by using the link on the left side of this page or follow this link to contact maintainers. If you still hear nothing back, please follow the package triage process.
  • Tell us what you love about the package or OpenCV, or tell us what needs improvement.
  • Share your experiences with the package, or extra configuration or gotchas that you've found.
  • If you use a url, the comment will be flagged for moderation until you've been whitelisted. Disqus moderated comments are approved on a weekly schedule if not sooner. It could take between 1-5 days for your comment to show up.
comments powered by Disqus