Getting Started with OpenCV | Introduction to Computer Vision| Part-1

We are awash in images. Smartphones have cameras, and taking a photo or video and sharing it has never been easier earlier, resulting in the incredible growth of modern social networks like Instagram, Whatsapp.YouTube might be the second largest search engine, and hundreds of hours of video are uploaded every minute, and billions of videos are watched every day.
The Internet is comprised of text and images. It is relatively straightforward to index and search text, but algorithms need to know what the images contain to index and search images. For the longest time, the content of images and video has remained opaque, best described using the person’s meta descriptions that uploaded them.

Computer vision is the automated extraction of information from images. Information can mean anything from 3D models, camera position, object detection, and recognition to grouping and searching image content. The goal of computer vision is to extract useful information from images. This has proved a surprisingly challenging task; it has occupied thousands of intelligent and creative minds over the last four decades, and despite this, we are still far from being able to build a general-purpose “seeing machine” In this video, let’s understand the importance of OpenCV package along with its installation.

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