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Downloads:

130,723

Downloads of v 4.10.0:

3,613

Last Update:

03 Jun 2024

Package Maintainer(s):

Software Author(s):

  • Itseez

Tags:

opencv programming library image processing

OpenCV

  • 1
  • 2
  • 3

4.10.0 | Updated: 03 Jun 2024

Downloads:

130,723

Downloads of v 4.10.0:

3,613

Maintainer(s):

Software Author(s):

  • Itseez

OpenCV 4.10.0

  • 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: '4.10.0'
    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  '4.10.0'
end

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


cChocoPackageInstaller opencv
{
    Name     = "opencv"
    Version  = "4.10.0"
    Source   = "INTERNAL REPO URL"
}

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


package { 'opencv':
  ensure   => '4.10.0',
  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

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Package Approved

This package was approved as a trusted package on 05 Jul 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 174 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/4.10.0/opencv-4.10.0-windows.exe'
$checksum = 'bff38466091c313dac21a0b73eea8278316a89c1d434c6f0b10697e087670168'
$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 4.9.0 7804 Tuesday, January 2, 2024 Approved
OpenCV 4.8.1 3497 Thursday, October 5, 2023 Approved
OpenCV 4.8.0 510 Saturday, October 7, 2023 Approved
OpenCV 4.7.0 5618 Wednesday, May 31, 2023 Approved
OpenCV 4.6.0 10849 Friday, September 23, 2022 Approved
OpenCV 4.5.5 12944 Tuesday, January 4, 2022 Approved
OpenCV 4.5.4 1715 Tuesday, December 7, 2021 Approved
OpenCV 4.5.3 6028 Tuesday, July 6, 2021 Approved
OpenCV 4.5.2 4526 Wednesday, April 7, 2021 Approved
OpenCV 4.5.1 2812 Wednesday, March 10, 2021 Approved
OpenCV 4.5.0 363 Wednesday, March 10, 2021 Approved
OpenCV 4.4.0 246 Wednesday, March 10, 2021 Approved
OpenCV 4.3.0 114 Wednesday, March 10, 2021 Approved
OpenCV 4.2.0 225 Tuesday, March 16, 2021 Approved
OpenCV 4.1.2 9614 Sunday, October 20, 2019 Approved
OpenCV 4.1.1 2431 Monday, July 29, 2019 Approved
OpenCV 4.1.0 11243 Tuesday, April 9, 2019 Approved
OpenCV 4.0.1 3039 Wednesday, January 2, 2019 Approved
OpenCV 4.0.0 1581 Monday, November 26, 2018 Approved
OpenCV 4.0.0-rc 284 Monday, November 26, 2018 Approved
OpenCV 4.0.0-beta 309 Thursday, October 25, 2018 Approved
OpenCV 4.0.0-alpha 253 Wednesday, October 24, 2018 Approved
OpenCV 3.4.16 1617 Tuesday, December 7, 2021 Approved
OpenCV 3.4.15 276 Tuesday, July 6, 2021 Approved
OpenCV 3.4.14 254 Wednesday, April 7, 2021 Approved
OpenCV 3.4.13 220 Wednesday, March 10, 2021 Approved
OpenCV 3.4.12 97 Wednesday, March 10, 2021 Approved
OpenCV 3.4.11 109 Wednesday, March 10, 2021 Approved
OpenCV 3.4.10 243 Wednesday, March 10, 2021 Approved
OpenCV 3.4.9 180 Tuesday, March 16, 2021 Approved
OpenCV 3.4.8 1028 Sunday, October 20, 2019 Approved
OpenCV 3.4.7 538 Monday, July 29, 2019 Approved
OpenCV 3.4.6 1260 Tuesday, April 9, 2019 Approved
OpenCV 3.4.5 299 Wednesday, January 2, 2019 Approved
OpenCV 3.4.4 324 Monday, November 26, 2018 Approved
OpenCV 3.4.3 1119 Wednesday, October 24, 2018 Approved
OpenCV 3.4.2 1259 Friday, July 27, 2018 Approved
OpenCV 3.4.1 11215 Sunday, March 11, 2018 Approved
OpenCV 3.4.0 1341 Tuesday, January 9, 2018 Approved
OpenCV 3.3.1 1536 Wednesday, November 29, 2017 Approved
OpenCV 3.3.0 1635 Thursday, November 9, 2017 Approved
OpenCV 3.2.0 3627 Thursday, March 9, 2017 Approved
OpenCV 3.1.0.20160701 2135 Saturday, July 2, 2016 Approved
OpenCV 3.1.0 805 Thursday, February 18, 2016 Approved
OpenCV 2.4.13.6 703 Sunday, March 11, 2018 Approved
OpenCV 2.4.13.5 404 Thursday, January 18, 2018 Approved
OpenCV 2.4.13.4 403 Tuesday, January 9, 2018 Approved
OpenCV 2.4.13.3 381 Tuesday, November 28, 2017 Approved
OpenCV 2.4.13.2 374 Thursday, November 9, 2017 Approved
OpenCV 2.4.13 2473 Wednesday, June 15, 2016 Approved
OpenCV 2.4.9.20140518 2439 Sunday, May 18, 2014 Approved
OpenCV 2.4.0.20130419 702 Friday, April 19, 2013 Approved
OpenCV 2.4.0.20130418 578 Thursday, April 18, 2013 Approved
OpenCV 2.4.0.1 612 Wednesday, April 17, 2013 Approved
OpenCV 2.4.0 919 Wednesday, April 17, 2013 Approved

version:4.10.0

June, 2024

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

  • Core Module:

    • Added CV_FP16 data type for cvMat #24892, #24918. Deprecated convertFp16 function, added FP16 support to cvMat::convertTo and analogs.
    • Fixed undefined behaviour in some cases related to FP16 arithmetic #25598
    • Extended HAL API for minMaxIdx #25563, LUT #25554, meanStdDev #25483, moments 25490, normHamming #25491. HAL entries for transpose #25342, some arithmetic functions #25574, #25506
    • Persistence: output reals as human-friendly expression. #25351
    • Added cgroups v2 support to parallel framework #25285
    • Added in-place support for cartToPolar and polarToCart #24893
  • Imgproc Module:

    • Added relative displacement field option to cv::remap #24621
    • Added new findContours implementation #25146, #25680, #25385
    • Fixed allocation issue in EMD #25583
    • Fixed bug in stackBlur with large kernels #25513
    • Extended HAL for projectPoints #25511, equalizeHist #25565, Otsu threshold #25509. Added new HAL entries for gaussianBlur #25397, remap #25399, bilaterialFilter #25343.
  • Calib3d Module:

    • Fixed several bugs in hand-eye calibration methods #24897, #25423
    • Fixed several bugs in findHomography implementation #25308, #25665
    • Multiple improvements in findChessboardCorners implementation: #25365, 25195, 25177, 25182, 25145, 24779, 24710, 24833, 25090
    • Improved symmetric circles grid pattern detection #25258
    • Fixed possible infinite loop in USAC #24987
    • Changed approach for initial estimation for focal length in fisheye calibration #25030
    • Added solvePnP implementation for Fisheye camera model #25028

  • DNN module:
    • Significantly improved DNN memory consumption #25181, 25163
    • Added Net::dumpToPbtxt method to review optimized graph with Netron #25582
    • Added support for several TFLite layers: Global_Pool_2D #25613, Transpose #25297, HardSwishInt8 #24985, split, fully connected, SoftMax, Cast #25273.
    • Fixed bugs in several ONNX layers: Slice #25660, Range #25414, Clip #25319, ReduceMean #25120, Einsum #25100, Norm #24808, negative axis support in Concat #24865.
    • Added new ONNX layers: Mod #24765, GroupNorm layer #24610.
    • Added more DNN layers with OpenVINO #25524, #25291, 25518.
    • Optimized fastDepthwiseConv #25361 and int8 layers 25230 for RISC-V with RVV extension
    • Optimized fastDepthwiseConv for RISC-V P Packed SIMD Extension v0.5.2 #24556
    • Optimized Attention #24476, #25271, #25238, #24613, 25076.
    • Added parallel version for scatter and scatterND #24813
    • Added broadcasting if a.rank() != b.rank() with CuDNN backend #24834
    • Tuned Winograd algorithm usage for convolutions #24709
    • Added Raft model support and tracking sample with it #24913
    • Added Vulkan backend for NaryEltwiseLayer in DNN module #24768
    • Imporved modern Yolo detectors support. Added sample and documentation #24898, #24611
    • Added CuDNN 9+ support #25412
    • Added OpenVINO 2024 support #25199

  • G-API module:
    • Ported G-API ONNXRT backend into V2 API #25662
    • Implement concurrent executor #24845
    • A quick value-initialization support GMat #25055
    • Fixed support of mean/scale preprocessing in OV backend for non-real types #24704

  • Objdetect module:

    • Fixed inaccurate Charuco board generation in some cases (.generateImage()) #24873, #25673
    • Fixed Aruco detector thread safety issue #24807, made Aruco detector more deterministic #24829
    • Added QR codes Structured Append decoding mode #24548
    • Several bug fixes in QR code detector and decoder #25026
    • Fixed barcode detectAndDecode #25035
    • Ported remaning Aruco and Charuco documentation and samples to modern API #23018
  • VideoIO:

    • Fix race condition in InternalFFMpegRegister initialization. #25419
    • Orbbec Camera supports MacOS´╝îGemini2 and Gemini2L support Y16 format #24877
    • Added V4L2_PIX_FMT_SGRBG8 pixel format support to V4L2 backend #25249
    • Fix incorrect timestamps returned by VideoCapture when CAP_PROP_FORMAT == -1 #24828
  • Python Bindings:

    • Experimental NumPy 2.0 support
    • Added python bindings for Rect2f and Point3i #24919
    • Switched to numeric dtype for MatLike instead of generic #25406
    • Added path-like objects support wherever file names are expected #24773
  • Android:

    • Added any screen orientation support for JavaCameraView #24827, avaCamera2View and NativeCameraView #24869 in Android samples. Fixed double preview initialization bug in JavaCamera2View #24869.
    • Removed Android AIDL from build scrips and tutorials as it's not needed since 4.9.0 #24843
    • Enable file system on Emscripten #24949
    • Updated Android samples for modern Android studio. Added OpenCV from Maven support. #24473
    • Added kotlin classes to AAR #24884
    • Added ARM KleidiCV as HAL for ARM v8 and v9 processors (-DWITH_KLEIDICV=ON CMake option) #25443, #25618
  • Platforms support:

    • CUDA 12.4+ support #25658
    • Wayland back-end for Linux #25551, #25510, #25502
    • New LAPACK interface support on MacOS and derivatives #24804, #25625
    • Added initial version of HAL for RISC-V processors with P-extension #25167
    • Added ARM KleidiCV as HAL for ARM v8 and v9 processors (-DWITH_KLEIDICV=ON CMake option) #25443, #25618
    • Added zlib-ng as alternative to classic zlib (-DWITH_ZLIB_NG=ON CMake option) #24782
    • OneAPI 2024 support (IPP, TBB)
    • Experimental Apple VisionOS support
    • Experimental Windows ARM64 support

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.
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