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Learning OpenCV 3 Computer Vision with Python - (Paperback, 2nd Revised edition)
Loot Price: R1,343
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Learning OpenCV 3 Computer Vision with Python - (Paperback, 2nd Revised edition)
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Unleash the power of computer vision with Python using OpenCV About
This Book * Create impressive applications with OpenCV and Python *
Familiarize yourself with advanced machine learning concepts *
Harness the power of computer vision with this easy-to-follow guide
Who This Book Is For Intended for novices to the world of OpenCV
and computer vision, as well as OpenCV veterans that want to learn
about what's new in OpenCV 3, this book is useful as a reference
for experts and a training manual for beginners, or for anybody who
wants to familiarize themselves with the concepts of object
classification and detection in simple and understandable terms.
Basic knowledge about Python and programming concepts is required,
although the book has an easy learning curve both from a
theoretical and coding point of view. What You Will Learn * Install
and familiarize yourself with OpenCV 3's Python API * Grasp the
basics of image processing and video analysis * Identify and
recognize objects in images and videos * Detect and recognize faces
using OpenCV * Train and use your own object classifiers * Learn
about machine learning concepts in a computer vision context * Work
with artificial neural networks using OpenCV * Develop your own
computer vision real-life application In Detail OpenCV 3 is a
state-of-the-art computer vision library that allows a great
variety of image and video processing operations. Some of the more
spectacular and futuristic features such as face recognition or
object tracking are easily achievable with OpenCV 3. Learning the
basic concepts behind computer vision algorithms, models, and
OpenCV's API will enable the development of all sorts of real-world
applications, including security and surveillance. Starting with
basic image processing operations, the book will take you through
to advanced computer vision concepts. Computer vision is a rapidly
evolving science whose applications in the real world are
exploding, so this book will appeal to computer vision novices as
well as experts of the subject wanting to learn the brand new
OpenCV 3.0.0. You will build a theoretical foundation of image
processing and video analysis, and progress to the concepts of
classification through machine learning, acquiring the technical
know-how that will allow you to create and use object detectors and
classifiers, and even track objects in movies or video camera
feeds. Finally, the journey will end in the world of artificial
neural networks, along with the development of a hand-written
digits recognition application. Style and approach This book is a
comprehensive guide to the brand new OpenCV 3 with Python to
develop real-life computer vision applications.
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