OpenCV is an open-source, cross-platform library that provides building blocks for computer vision experiments and applications. It provides high-level interfaces for capturing, processing, and presenting image data. For example, it abstracts details about camera hardware and array allocation. OpenCV is widely used in both academia and industry. Today, computer vision can reach consumers in many contexts via webcams, camera phones, and gaming sensors such as the Kinect.
For better or worse, people love to be on camera, and as developers, we face ademand for applications that capture images, change their appearance, and extract information from them. OpenCV’s Python bindings can help us explore solutions to these requirements in a high-level language and in a standardized data format that is interoperable with scientific libraries such as NumPy and SciPy. Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of
powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel.