Open Source Computer Vision (OpenCV) is a cross-platform, free library used to build real-time computer vision applications. It predominantly focuses on processing and analyzing images and video captures. Identifying similar images, face detection, and object detection are some of the commonly used features. It supports Machine Learning and Deep Learning frameworks. OpenCV runs on different platforms such as Windows, Linux, macOS, Android, and iOS. It supports programming languages such as C++, C, Python, Java, and so on.
OpenCV using Python
OpenCV-Python is a library set of Python bindings optimized to address computer vision needs. Leveraging the best features of the OpenCV, C++ API, and the Python language it serves as the Python API for OpenCV. OpenCV-Python extensively uses the NumPy Python package which is designed for numerical operations and scientific computing. It also uses python packages such as SciPy and Matplotlib that are compatible and easy to integrate.
OpenCV using Python in Machine Learning
Machine Learning (ML) enables computers, mobile devices, and other machines to access, learn, and interpret data. Machine Learning uses smart algorithms to learn and make data-driven decisions. It aids other technologies such as Artificial Intelligence, Robotics, and so on. NumerousPython Machine Learning libraries and modules are available.
Some of the popular OpenCV Python algorithms are:
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