Downloads:
141,061
Downloads of v 4.10.0:
10,149
Last Update:
03 Jun 2024
Package Maintainer(s):
Software Author(s):
- Itseez
Tags:
opencv programming library image processingOpenCV
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4.10.0 | Updated: 03 Jun 2024
Downloads:
141,061
Downloads of v 4.10.0:
10,149
Maintainer(s):
Software Author(s):
- Itseez
OpenCV 4.10.0
Legal Disclaimer: Neither this package nor Chocolatey Software, Inc. are affiliated with or endorsed by Itseez. The inclusion of Itseez trademark(s), if any, upon this webpage is solely to identify Itseez goods or services and not for commercial purposes.
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All Checks are Passing
3 Passing Tests
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:
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
Option 1: Cached Package (Unreliable, Requires Internet - Same As Community)-
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
-
Open Source
-
Download the package:
Download - Follow manual internalization instructions
-
-
Package Internalizer (C4B)
-
Run: (additional options)
choco download opencv --internalize --source=https://community.chocolatey.org/api/v2/
-
For package and dependencies run:
choco push --source="'INTERNAL REPO URL'"
- Automate package internalization
-
Run: (additional options)
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.
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This package was approved as a trusted package on 02 Nov 2024.
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'
Log in or click on link to see number of positives.
- OpenCV.4.10.0.nupkg (bc299b06878c) - ## / 68
- opencv-4.10.0-windows.exe (bff38466091c) - ## / 48
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 4.10.0 | 10149 | Monday, June 3, 2024 | Approved | |
OpenCV 4.9.0 | 8465 | Tuesday, January 2, 2024 | Approved | |
OpenCV 4.8.1 | 3517 | Thursday, October 5, 2023 | Approved | |
OpenCV 4.8.0 | 525 | Saturday, October 7, 2023 | Approved | |
OpenCV 4.7.0 | 5643 | Wednesday, May 31, 2023 | Approved | |
OpenCV 4.6.0 | 10945 | Friday, September 23, 2022 | Approved | |
OpenCV 4.5.5 | 13022 | Tuesday, January 4, 2022 | Approved | |
OpenCV 4.5.4 | 1785 | Tuesday, December 7, 2021 | Approved | |
OpenCV 4.5.3 | 6041 | Tuesday, July 6, 2021 | Approved | |
OpenCV 4.5.2 | 4542 | Wednesday, April 7, 2021 | Approved | |
OpenCV 4.5.1 | 3156 | Wednesday, March 10, 2021 | Approved | |
OpenCV 4.5.0 | 384 | Wednesday, March 10, 2021 | Approved | |
OpenCV 4.4.0 | 251 | Wednesday, March 10, 2021 | Approved | |
OpenCV 4.3.0 | 126 | Wednesday, March 10, 2021 | Approved | |
OpenCV 4.2.0 | 241 | Tuesday, March 16, 2021 | Approved | |
OpenCV 4.1.2 | 9632 | Sunday, October 20, 2019 | Approved | |
OpenCV 4.1.1 | 2439 | Monday, July 29, 2019 | Approved | |
OpenCV 4.1.0 | 11685 | Tuesday, April 9, 2019 | Approved | |
OpenCV 4.0.1 | 3054 | Wednesday, January 2, 2019 | Approved | |
OpenCV 4.0.0 | 1592 | Monday, November 26, 2018 | Approved | |
OpenCV 4.0.0-rc | 296 | Monday, November 26, 2018 | Approved | |
OpenCV 4.0.0-beta | 324 | Thursday, October 25, 2018 | Approved | |
OpenCV 4.0.0-alpha | 260 | Wednesday, October 24, 2018 | Approved | |
OpenCV 3.4.16 | 1818 | Tuesday, December 7, 2021 | Approved | |
OpenCV 3.4.15 | 283 | Tuesday, July 6, 2021 | Approved | |
OpenCV 3.4.14 | 263 | Wednesday, April 7, 2021 | Approved | |
OpenCV 3.4.13 | 230 | Wednesday, March 10, 2021 | Approved | |
OpenCV 3.4.12 | 105 | Wednesday, March 10, 2021 | Approved | |
OpenCV 3.4.11 | 119 | Wednesday, March 10, 2021 | Approved | |
OpenCV 3.4.10 | 265 | Wednesday, March 10, 2021 | Approved | |
OpenCV 3.4.9 | 195 | Tuesday, March 16, 2021 | Approved | |
OpenCV 3.4.8 | 1039 | Sunday, October 20, 2019 | Approved | |
OpenCV 3.4.7 | 549 | Monday, July 29, 2019 | Approved | |
OpenCV 3.4.6 | 1286 | Tuesday, April 9, 2019 | Approved | |
OpenCV 3.4.5 | 313 | Wednesday, January 2, 2019 | Approved | |
OpenCV 3.4.4 | 339 | Monday, November 26, 2018 | Approved | |
OpenCV 3.4.3 | 1132 | Wednesday, October 24, 2018 | Approved | |
OpenCV 3.4.2 | 1268 | Friday, July 27, 2018 | Approved | |
OpenCV 3.4.1 | 11819 | Sunday, March 11, 2018 | Approved | |
OpenCV 3.4.0 | 1348 | Tuesday, January 9, 2018 | Approved | |
OpenCV 3.3.1 | 2247 | Wednesday, November 29, 2017 | Approved | |
OpenCV 3.3.0 | 1643 | Thursday, November 9, 2017 | Approved | |
OpenCV 3.2.0 | 3636 | Thursday, March 9, 2017 | Approved | |
OpenCV 3.1.0.20160701 | 2147 | Saturday, July 2, 2016 | Approved | |
OpenCV 3.1.0 | 815 | Thursday, February 18, 2016 | Approved | |
OpenCV 2.4.13.6 | 714 | Sunday, March 11, 2018 | Approved | |
OpenCV 2.4.13.5 | 417 | Thursday, January 18, 2018 | Approved | |
OpenCV 2.4.13.4 | 420 | Tuesday, January 9, 2018 | Approved | |
OpenCV 2.4.13.3 | 395 | Tuesday, November 28, 2017 | Approved | |
OpenCV 2.4.13.2 | 382 | Thursday, November 9, 2017 | Approved | |
OpenCV 2.4.13 | 2490 | Wednesday, June 15, 2016 | Approved | |
OpenCV 2.4.9.20140518 | 2450 | Sunday, May 18, 2014 | Approved | |
OpenCV 2.4.0.20130419 | 715 | Friday, April 19, 2013 | Approved | |
OpenCV 2.4.0.20130418 | 585 | Thursday, April 18, 2013 | Approved | |
OpenCV 2.4.0.1 | 626 | Wednesday, April 17, 2013 | Approved | |
OpenCV 2.4.0 | 934 | Wednesday, April 17, 2013 | Approved |
OpenCV team
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:
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
- Fixed inaccurate Charuco board generation in some cases (
VideoIO:
Python Bindings:
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.
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