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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Installation
Before we get started, let's make sure that we have all the tools and libraries installed that are necessary to create a fully functioning data science environment. After downloading the latest code for this book from GitHub, we are going to install the following software:
- Python's Anaconda distribution, based on Python 3.6 or higher
- OpenCV 4.1
- Some supporting packages
Don't feel like installing stuff? You can also visit https://mybinder.org/v2/gh/PacktPublishing/Machine-Learning-for-OpenCV-Second-Edition/master, where you will find all the code for this book in an interactive, executable environment and 100% free and open source, thanks to the Binder project.
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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.