![]() ![]() But once, individuals get the hang of it, OpenCV allows you to create a variety of projects, ranging from detecting faces and objects, classifying human actions to tracking movements. However, working with OpenCV can be quite challenging - not only it can be hard to navigate but also can be tedious to work through. A lot of this could be attributed to its extraordinary abilities to support multi-language including MATLAB, Python and Java, and the plethora of algorithms it is equipped with. to several startups have deployed OpenCV for their applications. ![]() Starting from large tech companies like Google, Microsoft, Intel, IBM etc. With the field of computer vision gaining momentum, OpenCV drastically started to accelerate with individuals as well businesses leveraging it for processing images, capturing the video as well as making applications based on face and object detection. Open-Source Computer Vision Library, also known as OpenCV, is a machine learning library that is used to develop computer vision applications. ![]()
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