September 2019
Intermediate to advanced
420 pages
10h 29m
English
book
Machine Learning for OpenCV 4 - Second Edition
by Aditya Sharma, Michael Beyeler (USD), Vishwesh Ravi Shrimali, Michael Beyeler
Content preview from Machine Learning for OpenCV 4 - Second Edition
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Building your own estimator
In this book, we visited a whole variety of machine learning tools and algorithms that OpenCV provides straight out of the box. And, if for some reason, OpenCV does not provide exactly what we are looking for, we can always fall back on scikit-learn.
However, when tackling more advanced problems, you might find yourself wanting to perform some very specific data processing that neither OpenCV nor scikit-learn provide, or you might want to make slight adjustments to an existing algorithm. In this case, you may want to create your own estimator.
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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.