OpenCV For Mac

OpenCV, which stands for Open Source Computer Vision Library, was designed to facilitate a common infrastructure for computer vision applications across various different platforms. It can make it easier to build commercial products that rely on this technology and accelerate the use of machine perception.

The library was written in C for cross-platform compatibility, and it also includes a C++ interface since version 2.0. Wrappers have been developed for languages like Python and Java to increase compatibility even further. At present, OpenCV is supported on Windows, macOS, Linux, FreeBSD, OpenBSD, Android, iOS, and Maemo.

OpenCV comes with a huge number of optimized algorithms, both classic ones and advanced algorithms for computer vision and machine learning. Among their capabilities, we can mention detecting and recognizing faces, identifying objects, classifying human actions in videos, tracking camera movements, tracking objects, extracting 3D models of objects, stitching images to create a high-resolution picture, finding similar images, following eye movements, and much more.

The library is used by many tech giants, and it is also a popular choice for startups, which is understandable given that it’s available for free. It can have a multitude of uses, from creating advanced software and processing media to helping robots navigate and interact with objects.