OpenCV for Industry Project

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OpenCV

OpenCV (Open Source Computer Vision Library) is a free and open-source computer vision and machine learning software library. It provides a collection of algorithms and tools for computer vision tasks such as image and video processing, object detection and recognition, and computational photography. OpenCV was initially released in 2000 and has since become one of the most widely used computer vision libraries, with over 47 thousand members in its community.



About Path

 

OpenCV (Open Source Computer Vision Library) is a free and open-source computer vision and machine learning software library. It provides a collection of algorithms and tools for computer vision tasks such as image and video processing, object detection and recognition, and computational photography. OpenCV was initially released in 2000 and has since become one of the most widely used computer vision libraries, with over 47 thousand members in its community.

OpenCV is written in C++ and has interfaces for several programming languages including Python, Java, and MATLAB. It is designed to be used on a variety of platforms, including desktop, mobile, and embedded systems, and can be integrated with other tools and libraries for more advanced applications.

OpenCV is widely used in various applications, such as facial recognition, motion tracking, medical imaging, robotics, and video surveillance. Its extensive functionality and active community make it a popular choice for computer vision projects, both in academia and industry.

  • Simran Dubey

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