March 2018
Beginner to intermediate
306 pages
9h 54m
English
Content preview from OpenCV 3 Computer Vision with Python Cookbook
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Fitting lines and circles into two-dimensional point sets
Many computer vision algorithms deal with points. They may be contour points, or key points, or something else. And, in some cases, we know that all of these points should lie on the same curve, with a known mathematical shape. The process of finding the parameters of the curve (in the case of noisy data) is called approximation. Here, we're going to review two functions from OpenCV which find approximations for the ellipse and line for a set of points.
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.