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Introduction
Computer vision is a branch of artificial intelligence that deals with providing computers with the ability to see and interpret the world in the same way that humans do. This involves understanding both the visual data that is captured by sensors such as cameras, and the high-level concepts that allow humans to make sense of this data.
Computer vision is a key area of artificial intelligence research and development. It is concerned with the automatic extraction, analysis and understanding of useful information from digital images and videos. The market size for computer vision is difficult to estimate. However, it is growing rapidly, with estimates suggesting that the global market will be worth $30.7 billion by 2025.
There are many computer vision libraries and frameworks available in Python. Each library has its own strengths and weaknesses, and it is up to the user to decide which one to use for their specific needs. In this article we will review some of the most popular computer vision libraries / frameworks in Python in 2022.
OpenCV
OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. It includes algorithms for object detection, video analysis, and image recognition.
More than 2500 optimized algorithms are available in the collection, including a wide range of both traditional and cutting-edge computer vision and machine learning techniques. These algorithms can be used to find similar images from an image database, remove red eyes from flash-taken photos, follow eye movements, recognize scenery, and establish markers to overlay. They can also be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce high-resolution images of entire scenes, extract 3D models of objects from stereo cameras, and extract 3D models of objects
