What is OpenCV?
OpenCV (Open Source Computer Vision) is an open source computer vision library, initiated and maintained by Intel Corporation. It is mainly used in real-time image processing, computer vision and robotics, etc. It provides a large number of image processing and computer vision algorithms, which can help users quickly implement various image processing and computer vision applications.

 

What features does OpenCV offer?
OpenCV supports a variety of programming languages, including C++, Python, and Java, and can run on a variety of operating systems, including Windows, Linux, and macOS. It provides a large number of image processing and computer vision algorithms, including image filtering, edge detection, image segmentation, target detection, face recognition, optical flow estimation, and so on.
In terms of image processing, OpenCV provides a wealth of functions and algorithms, including image reading and writing, scaling, rotating, flipping, transforming, colour space conversion and so on. In addition, OpenCV also provides algorithms for image segmentation, morphological operations, edge detection, contour detection, histogram, etc., which can be used for image recognition, target tracking and other applications.
In terms of computer vision, OpenCV provides a variety of feature detection and description algorithms, including SIFT, SURF, ORB, etc., which can be used for image matching, target tracking and other applications. In addition, OpenCV provides a variety of target detection and recognition algorithms, including Haar feature detection, HOG feature detection, deep learning, etc., which can be used for face recognition, object detection and other applications.

 

How to access OpenCV?
Just click the Open URL button above.