July 2017
Intermediate to advanced
382 pages
9h 13m
English
Content preview from Machine Learning for OpenCV
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Dealing with data using Python's NumPy package
If you followed the advice outlined in the previous chapter and installed the Python Anaconda stack, you already have NumPy installed and are ready to go. If you are of the do-it-yourself type, you can go to http://www.numpy.org and follow the installation instructions found there.
I informed you earlier that it would be okay if you weren't a Python expert yet. Who knows, perhaps you're just now switching from OpenCV's C++ API. This is all fine. I wanted to give you a quick overview on how to get started with NumPy. If you are a more advanced Python user, you may simply skip this subsection.
Once you are familiar with NumPy, you will find that most scientific computing tools in the Python world ...
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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.