Downloads:
139,044
Downloads of v 4.8.1:
3,514
Last Update:
05 Oct 2023
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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4.8.1 | Updated: 05 Oct 2023
Downloads:
139,044
Downloads of v 4.8.1:
3,514
Maintainer(s):
Software Author(s):
- Itseez
OpenCV 4.8.1
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=4.8.1 --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="'4.8.1'" [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="'4.8.1'"
$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: '4.8.1'
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 '4.8.1'
end
See docs at https://docs.chef.io/resource_chocolatey_package.html.
cChocoPackageInstaller opencv
{
Name = "opencv"
Version = "4.8.1"
Source = "INTERNAL REPO URL"
}
Requires cChoco DSC Resource. See docs at https://github.com/chocolatey/cChoco.
package { 'opencv':
ensure => '4.8.1',
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 05 Oct 2023.
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 167 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.4.8.1.nupkg (1fbfefd5e13e) - ## / 64
- opencv-4.8.1-windows.exe (037dd1c5c172) - ## / 67
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 | 8686 | Monday, June 3, 2024 | Approved | |
OpenCV 4.9.0 | 8318 | 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 | 12993 | 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:4.8.1
September, 2023
Security release.
Changes:
- WebP security update for CVE-2023-4863
- Depthwise convolution 5x5 performance regression fix (#23941).
version:4.8.0
June, 2023
Summer update for OpenCV 4.x has been released.
DNN module patches:
- #23161, #23409 TFLite models support, including int8 quantized models.
- #23604 Enabled DNN module build without Protobuf dependency.
- Improved layers => supported more models:
- ONNX: #23047 Layer normalization, #23219 GELU and #23655 QLinearSoftmax.
- Fixes in CANN backend:
- #23613 Reduce Refactor for robustness and potential follow-up improvements.
- #23491 Fixes for Segment Anything Model by Meta.
- Fixes in nary element wise layer about broadcast:
- Further increased DNN speed on ARM and X86 by improving convolution, covering 1D and 3D cases, supporting convolution+element-wise op fusion.
- Added full FP16 computation branch on ARMv8 platform, 1.5x faster than FP32 #22275(FP16 Winograd is still pending).
- #23349 Vulkan backend refactor for better performance and robustness. It runs 4X faster than before.
- #22750 Added API
blobFromImageParam
to build network inputs with pre-processings. - #22957 Modern OpenVINO support.
G-API module:
Intel® OpenVINO™ inference backend:
- #23668 #23786 Streamlined preprocessing in OpenVINO Inference Engine (ie) API 1.0 backend. Note: this backend will be deprecated after OpenVINO removes the API 1.0 support in its subsequent releases.
- #23796 Aligned OpenVINO IE API 1.0 backend with the latest OpenVINO 2023.0 (as some features were removed there).
- #23595 Introduced a brand new OpenVINO API 2.0 backend.
- #23799 Implemented the required inference operations for the OpenVINO API 2.0 backend.
Microsoft® ONNX Runtime inference backend:
- #23597 Updated G-API ONNX RT backend to support ONNX RT version 1.14.1. Now it is the minimum version required to build this backend.
Python bindings:
- #23597 Exposed varions normalization options for ONNX RT backend in Python bindings.
- #23597 Exposed Fluid kernels and kernel package manipulation functions (
combine()
) in Python. - #23597 Fixed issues in Stateful Python kernel state handling; also fixed various issues in Python tests.
- #23843 Fixed issue with opaque kernel output information handling which broke Python custom kernels.
Samples:
Other changes and fixes:
Objdetect module:
- #23020 FaceDetectorYN upgrade for better performance, accuracy and facial landmarks support.
- #23264 New QR code detection algorithm based on ArUco code.
- #23666 Bar code detector and decoder moved from Contrib to main repository.
- #23758 Introduced common API for all graphical codes like bar codes and QR codes.
- #23153 Added flag for legacy pre-4.6.0 ChAruco boards support.
- Multiple bug fixes and improvements in QR code detection and decoding pipelines.
- Multiple bug fixes and improvements in ArUco based pipelines.
Calibration module:
- #23078 USAC framework improvements.
- #23025 Fixed stddev estimation in camera calibration pipelines.
- #23305 Fixed incorrect pixel grid generation in icvGetRectangles that improves accuracy of getOptimalNewCameraMatrix, stereoRectify and some other calibration functions.
- Charuco board support in patterns generator, interactive calibration tool and calibration samples.
Image processing module:
- #23210, #23388 Various fixes in line segments detector.
- #23634 Fixed even input dimensions for INTER_NEAREST_EXACT in resize.
- #21959 Optimise local cost computation in IntelligentScissorsMB::buildMap.
- Keep inliers for linear remap with BORDER_TRANSPARENT #23754
- #22798 Fix distransform to work with large images.
Features2d module:
- #23124 SIFT accuracy improvements.
Core module:
Multimedia:
- #23596 Added AVIF support through libavif.
- #23237 Orbbec Femto Mega cameras support.
- #23172 HEVC/H265 support in VideoWriter with MS Media Foundation backend.
- #23692 Fixed FPS computation on some videos for FFmpeg backend.
- #23300 Added support for VideoCapture CAP_PROP_AUTO_WB and CV_CAP_PROP_WHITE_BALANCE_BLUE_U for DShow backend.
- #23460, #23469 Fixes OBS Virtual Camera capture.
- #23433 CV_32S encoding support with tiff.
- #3486, #3453 More strict decoder checks and dynamic resolution support in cudacodec module (opencv_contrib).
- #3485 Added basic VideoCapture properties support to cudacodec module (opencv_conrib).
Python Bindings:
- #20370 Python typing stubs.
- #23350 Fix reference counting errors in registerNewType.
- #23399, #23436, #23138 Fixed ChAruco and diamond boards detector bindings.
- #23371 Added bindings to allow GpuMat and Stream objects to be initialized from memory initialized in other libraries
- #23691 np.float16 support.
- Python bindings for RotatedRect, CV_MAKETYPE, CV_8UC(n).
JavaScript bindings:
- #23344 Added possibility for disabling inlining
wasm
inopencv.js
- Extended JS bindings for Aruco, Charuco, QR codes and bar codes.
- #23344 Added possibility for disabling inlining
Platforms:
Other:
- Several critical issue fixes in wechat_qrcode module (opencv_contrib)
This package has no dependencies.
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