March 2019
Intermediate to advanced
538 pages
13h 38m
English
book
Building Computer Vision Projects with OpenCV 4 and C++
by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
Content preview from Building Computer Vision Projects with OpenCV 4 and C++
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Classification
After we preprocess and segment all possible parts of an image, we now need to decide whether each segment is (or is not) a license plate. To do this, we will use an SVM algorithm.
An SVM is a pattern recognition algorithm included in a family of supervised learning algorithms that was originally created for binary classification. Supervised learning is the machine learning algorithm technique that is trained with labeled data. We need to train the algorithm with an amount of data that is labeled; each dataset needs to have a class.
The SVM creates one or more hyperplanes, which are used to discriminate each class of data.
A classic example is a 2D point set that defines two classes; the SVM searches the optimal line that differentiates ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.