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Machine Learning for OpenCV
book

Machine Learning for OpenCV

by Michael Beyeler, Michael Beyeler (USD)
July 2017
Intermediate to advanced
382 pages
9h 13m
English
Packt Publishing
Content preview from Machine Learning for OpenCV

Having a look at supervised learning in OpenCV

Knowing how supervised learning works is pretty if we can't put it into practice. Thankfully, OpenCV provides a pretty straightforward interface for all its statistical learning models, which includes all supervised learning models.

In OpenCV, every machine learning model derives from the cv::ml::StatModel base class. This is fancy talk for saying that if we want to be a machine learning model in OpenCV, we have to provide all the functionality that StatModel tells us to. This includes a method to train the model (called train) and a method to measure the performance of the model (called calcError).

In object-oriented programming (OOP), functions are often called objects or classes. An object ...
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Publisher Resources

ISBN: 9781783980284