Downloads:
139,049
Downloads of v 4.9.0:
8,319
Last Update:
02 Jan 2024
Package Maintainer(s):
Software Author(s):
- Itseez
Tags:
opencv programming library image processingOpenCV
This is not the latest version of OpenCV available.
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4.9.0 | Updated: 02 Jan 2024
Downloads:
139,049
Downloads of v 4.9.0:
8,319
Maintainer(s):
Software Author(s):
- Itseez
OpenCV 4.9.0
This is not the latest version of OpenCV available.
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 --version=4.9.0 --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'" --version="'4.9.0'" [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'" --version="'4.9.0'"
$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.
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This package was approved as a trusted package on 20 May 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 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'
Log in or click on link to see number of positives.
- OpenCV.4.9.0.nupkg (3607113f6d58) - ## / 62
- opencv-4.9.0-windows.exe (fefddff0623f) - ## / 58
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 | 8689 | Monday, June 3, 2024 | Approved | |
OpenCV 4.9.0 | 8319 | Tuesday, January 2, 2024 | Approved | |
OpenCV 4.8.1 | 3514 | Thursday, October 5, 2023 | Approved | |
OpenCV 4.8.0 | 523 | Saturday, October 7, 2023 | Approved | |
OpenCV 4.7.0 | 5642 | Wednesday, May 31, 2023 | Approved | |
OpenCV 4.6.0 | 10938 | Friday, September 23, 2022 | Approved | |
OpenCV 4.5.5 | 12994 | Tuesday, January 4, 2022 | Approved | |
OpenCV 4.5.4 | 1780 | Tuesday, December 7, 2021 | Approved | |
OpenCV 4.5.3 | 6041 | Tuesday, July 6, 2021 | Approved | |
OpenCV 4.5.2 | 4539 | Wednesday, April 7, 2021 | Approved | |
OpenCV 4.5.1 | 3133 | Wednesday, March 10, 2021 | Approved | |
OpenCV 4.5.0 | 382 | 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 | 2437 | Monday, July 29, 2019 | Approved | |
OpenCV 4.1.0 | 11598 | Tuesday, April 9, 2019 | Approved | |
OpenCV 4.0.1 | 3052 | 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 | 317 | Thursday, October 25, 2018 | Approved | |
OpenCV 4.0.0-alpha | 260 | Wednesday, October 24, 2018 | Approved | |
OpenCV 3.4.16 | 1808 | 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 | 229 | Wednesday, March 10, 2021 | Approved | |
OpenCV 3.4.12 | 105 | Wednesday, March 10, 2021 | Approved | |
OpenCV 3.4.11 | 117 | Wednesday, March 10, 2021 | Approved | |
OpenCV 3.4.10 | 264 | 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 | 547 | Monday, July 29, 2019 | Approved | |
OpenCV 3.4.6 | 1285 | Tuesday, April 9, 2019 | Approved | |
OpenCV 3.4.5 | 312 | Wednesday, January 2, 2019 | Approved | |
OpenCV 3.4.4 | 338 | Monday, November 26, 2018 | Approved | |
OpenCV 3.4.3 | 1129 | Wednesday, October 24, 2018 | Approved | |
OpenCV 3.4.2 | 1267 | Friday, July 27, 2018 | Approved | |
OpenCV 3.4.1 | 11744 | Sunday, March 11, 2018 | Approved | |
OpenCV 3.4.0 | 1348 | Tuesday, January 9, 2018 | Approved | |
OpenCV 3.3.1 | 2124 | Wednesday, November 29, 2017 | Approved | |
OpenCV 3.3.0 | 1643 | Thursday, November 9, 2017 | Approved | |
OpenCV 3.2.0 | 3634 | Thursday, March 9, 2017 | Approved | |
OpenCV 3.1.0.20160701 | 2146 | Saturday, July 2, 2016 | Approved | |
OpenCV 3.1.0 | 814 | Thursday, February 18, 2016 | Approved | |
OpenCV 2.4.13.6 | 712 | Sunday, March 11, 2018 | Approved | |
OpenCV 2.4.13.5 | 416 | Thursday, January 18, 2018 | Approved | |
OpenCV 2.4.13.4 | 420 | Tuesday, January 9, 2018 | Approved | |
OpenCV 2.4.13.3 | 394 | Tuesday, November 28, 2017 | Approved | |
OpenCV 2.4.13.2 | 382 | Thursday, November 9, 2017 | Approved | |
OpenCV 2.4.13 | 2487 | Wednesday, June 15, 2016 | Approved | |
OpenCV 2.4.9.20140518 | 2449 | 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 | 625 | Wednesday, April 17, 2013 | Approved | |
OpenCV 2.4.0 | 934 | Wednesday, April 17, 2013 | Approved |
OpenCV team
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:
- 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:
VideoIO:
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:
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.
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.