OpenCV (Open Source Computer Vision Library) is an open-source, cross-platform and machine learning software library of programming functions that enhances the real-time computer vision experience of the users through a series of image processing methods. It is an open source library for images and also video analysis, which was originally developed by Intel. It operates under an open-source BSD license thus making it easier for a business to use and modify the code according to them. It is free for both commercial and academic use. OpenCV when integrated with a web or mobile app, provides an extraordinary real-time computer vision experience to the users. For the implementation of OpenCV across various web and mobile platforms, the programming is done in C/C++, Java and Python.
OpenCV library has about 2500 optimized algorithms which is the combination of both classic, state-of-the-art computer vision and machine learning algorithms. It utilizes a series of powerful algorithms for enabling real-time computer vision applications such as Face Recognition, Image Recognition, Gesture Recognition, Object Recognition, Augmented Reality, Segmentation Control, Egomotion Estimation, Mobile Robotics, 2D and 3D feature toolkits, etc. Image recognition is one of the many applications of OpenCV that enables the computers to analyse and process the digital image content which can be further used for the recognition of similar objects in different images.
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