OpenCV: Open Source Computer Vision Library
Cross-platform C++ library for real-time computer vision algorithms.
Learn more about opencv
OpenCV is a C++ library that implements algorithms for computer vision, image processing, and machine learning applications. The library is written in optimized C++ with bindings available for Python and other languages, allowing integration into diverse development environments. It includes classical computer vision techniques alongside support for deep learning models and neural networks. Common applications include real-time video analysis, object detection, image classification, feature extraction, and camera calibration across embedded systems, desktop applications, and server-based deployments.
Multi-Language Bindings
C++ core with native Python, Java, and JavaScript bindings share the same optimized implementation. Developers use identical algorithms across ecosystems without performance penalties or reimplementation.
Unified Vision Pipeline
Classical algorithms and deep learning models operate within a single framework using consistent APIs. Enables hybrid pipelines that combine traditional feature detection with neural network inference without external dependencies.
Cross-Platform Optimization
Runs on Linux, Windows, macOS, mobile, and embedded systems with hardware acceleration support. SIMD optimizations and GPU backends enable real-time processing from Raspberry Pi to server clusters.
import cv2
image = cv2.imread('photo.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow('Grayscale Image', gray)
cv2.waitKey(0)
cv2.destroyAllWindows()Release notes do not specify breaking changes, requirements, or migration steps; refer to external change log for details.
- –Review the linked change log on the OpenCV wiki to identify any breaking changes or new dependencies.
- –Test existing integrations thoroughly as the provided release notes contain no actionable upgrade guidance.
Release notes do not specify breaking changes, new requirements, or migration steps; refer to the change log for details.
- –Review the full change log on the wiki to identify any API changes or deprecations affecting your integration.
- –Verify compatibility with your build environment before upgrading, as release notes omit dependency or toolchain updates.
Technology preview for OpenCV 5.0; not production-ready. Release notes do not specify breaking changes, requirements, or migration steps.
- –Review the full changelog on the wiki before upgrading; alpha stability and API compatibility are not guaranteed.
- –Pin to 4.x for production systems until stable 5.0 ships with documented breaking changes and migration paths.
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