There are a two main task which are defined below: For example, cars can be facilitated with computer vision, which will be able to identify and different objects around the road, such as traffic lights, pedestrians, traffic signs, and so on, and acts accordingly.Ĭomputer vision allows the computer to perform the same kind of tasks as humans with the same efficiency. It extracts the description from the pictures, which may be an object, a text description, and three-dimension model, and so on. The purpose of computer vision is to understand the content of the images. In OpenCV, the CV is an abbreviation form of a computer vision, which is defined as a field of study that helps computers to understand the content of the digital images such as photographs and videos. OpenCV is a Python open-source library, which is used for computer vision in Artificial intelligence, Machine Learning, face recognition, etc. Our OpenCV tutorial includes all topics of Read and Save Image, Canny Edge Detection, Template matching, Blob Detection, Contour, Mouse Event, Gaussian blur and so on. In this tutorial we will learn the concept of OpenCV using the Python programming language. It provides the facility to the machine to recognize the faces or objects. OpenCV is an open-source library for the computer vision. Our OpenCV tutorial is designed for beginners and professionals. OpenCV tutorial provides basic and advanced concepts of OpenCV. Next → OpenCV Tutorial | OpenCV using Python
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