OpenCV (Open Source Computer Vision Library) is a comprehensive collection of algorithms and tools designed for real-time computer vision applications. It supports a wide range of programming languages, including C++, Python, and Java, making it accessible to developers across various platforms like Linux, macOS, Windows, iOS, and Android.
Key features of OpenCV include:
- Extensive Algorithm Support: Over 2500 optimized algorithms for image and video processing, object detection, and machine learning.
- Cross-Platform Compatibility: Enables development and deployment on multiple operating systems and devices.
- Real-Time Performance: Optimized for real-time applications, making it suitable for robotics, surveillance, and autonomous systems.
- Open Source and Free: Released under the Apache 2 License, allowing free commercial use.
- Community and Support: Operated by the non-profit Open Source Vision Foundation, providing a robust community and resources.
Use cases for OpenCV include:
- Image and Video Analysis: Processing and analyzing images and videos for various applications.
- Object Detection: Identifying and tracking objects in real-time.
- Machine Learning: Supporting model execution for machine learning and AI applications.
- Robotics and Autonomous Systems: Enabling computer vision capabilities for robots and autonomous vehicles.
