OpenCV

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.