By Joe Minichino, Joseph Howse
ISBN-10: 1785283847
ISBN-13: 9781785283840
OpenCV three is a cutting-edge laptop imaginative and prescient library that permits an outstanding number of picture and video processing operations. a number of the extra extraordinary and futuristic beneficial properties comparable to face reputation or item monitoring are simply conceivable with OpenCV three. studying the elemental ideas in the back of computing device imaginative and prescient algorithms, versions, and OpenCV's API will permit the improvement of every type of real-world functions, together with safety and surveillance.
Starting with simple snapshot processing operations, the e-book will take you thru to complex laptop imaginative and prescient suggestions. computing device imaginative and prescient is a quickly evolving technology whose purposes within the genuine international are exploding, so this ebook will attract computing device imaginative and prescient newcomers in addition to specialists of the topic eager to study the new OpenCV 3.0.0. you are going to construct a theoretical origin of picture processing and video research, and growth to the recommendations of class via computing device studying, buying the technical knowledge that might let you create and use item detectors and classifiers, or even song items in videos or video digicam feeds. eventually, the adventure will lead to the area of synthetic neural networks, besides the advance of a hand-written digits attractiveness application.
Style and approach
This booklet is a entire advisor to the new OpenCV three with Python to increase real-life machine imaginative and prescient functions.
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Extra info for Learning OpenCV 3 Computer Vision with Python
Example text
Urandom() is to help demonstrate a conversion from raw bytes. array Now that you have a better understanding of how an image is formed, we can start performing basic operations on it. We know that the easiest (and most common) way to load an image in OpenCV is to use the imread function. We also know that this will return an image, which is really an array (either a 2D or 3D one, depending on the parameters you passed to imread()).
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals.
7, OpenCV, and other related libraries. After setup, we also look at OpenCV's Python sample scripts and documentation. io/pycv/. This file is compatible with VirtualBox, a free-to-use virtualization application that lets you build and run VMs. 04 and has all the necessary software installed so that you can start coding right away. This VM requires at least 2 GB of RAM to run smoothly, so make sure that you allocate at least 2 (but, ideally, more than 4) GB of RAM to the VM, which means that your host machine will need at least 6 GB of RAM to sustain it.