OpenCV - Open Computer Vision Library
OpenCV provides a real-time optimized Computer Vision library, tools, and hardware. It also supports model execution for Machine Learning (ML) and Artificial Intelligence (AI).
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.
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Website Key Features
Comprehensive Computer Vision Library
Offers a wide range of computer vision algorithms, from basic to advanced, including facial recognition, object detection, and more.
Cross-Platform
Supports multiple platforms including Windows, Linux, Mac OS, iOS, and Android, making it versatile for various applications.
Optimized Performance
Designed for real-time applications, OpenCV takes advantage of hardware acceleration where available.
Extensive Documentation
Provides comprehensive documentation and a large community for support, making it easier for developers to get started and solve problems.
Integration with Machine Learning Libraries
Seamlessly integrates with machine learning libraries like TensorFlow and PyTorch for advanced AI applications.
Image and Video Processing
Supports a wide range of image and video processing techniques, including filtering, transformation, and feature detection.
3D Reconstruction
Includes tools for 3D reconstruction from 2D images, useful in robotics, augmented reality, and more.
Object Tracking
Provides algorithms for tracking objects in video sequences, essential for surveillance and interactive applications.
Camera Calibration
Offers tools for camera calibration, essential for accurate 3D reconstruction and augmented reality applications.
GPU Acceleration
Supports GPU acceleration through CUDA and OpenCL, enabling faster processing of complex algorithms.
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Additional information
License
OpenCV is released under a BSD license, hence it’s free for both academic and commercial use.
Community and Support
OpenCV has a large and active community. There are numerous forums, user groups, and social media channels where users can seek help and share knowledge.
Contributions
OpenCV encourages contributions from the community. Developers can contribute to the library by submitting patches, new features, or documentation improvements.
Educational Resources
OpenCV provides a wealth of educational resources, including tutorials, courses, and books, to help users learn computer vision and machine learning.
Commercial Use
Many companies use OpenCV for commercial products, including robotics, security, and augmented reality applications.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for opencv.org