Learning OpenCV 3 Computer Vision with Python · 2nd Edition

About This BookCreate impressive applications with OpenCV and

PythonFamiliarize yourself with advanced machine learning conceptsHarness the

power of computer vision with this easy-to-follow guideWho This Book Is

ForIntended for novices to the world of OpenCV and computer vision, as well as

OpenCV veterans who 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 of 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 LearnInstall and familiarize yourself with OpenCV 3's

Python APIGrasp the basics of image processing and video analysisIdentify and

recognize objects in images and videosDetect and recognize faces using

OpenCVTrain and use your own object classifiersLearn about machine learning

concepts in a computer vision contextWork with artificial neural networks

using OpenCVDevelop your own real-life computer vision applicationsIn Detail

Learning OpenCV 3 Computer Vision with Python, Second Edition, takes you

through building a theoretical foundation for 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, this journey ends at the world of artificial neural networks, along

with the development of a hand-written digit recognition application.