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OpenCV 3.x with Python By Example - Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition (Paperback, 2nd Revised edition)
Loot Price: R1,275
Discovery Miles 12 750
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OpenCV 3.x with Python By Example - Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition (Paperback, 2nd Revised edition)
Expected to ship within 10 - 15 working days
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Learn the techniques for object recognition, 3D reconstruction,
stereo imaging, and other computer vision applications using
examples on different functions of OpenCV. Key Features Learn how
to apply complex visual effects to images with OpenCV 3.x and
Python Extract features from an image and use them to develop
advanced applications Build algorithms to help you understand image
content and perform visual searches Get to grips with advanced
techniques in OpenCV such as machine learning, artificial neural
network, 3D reconstruction, and augmented reality Book
DescriptionComputer vision is found everywhere in modern
technology. OpenCV for Python enables us to run computer vision
algorithms in real time. With the advent of powerful machines, we
have more processing power to work with. Using this technology, we
can seamlessly integrate our computer vision applications into the
cloud. Focusing on OpenCV 3.x and Python 3.6, this book will walk
you through all the building blocks needed to build amazing
computer vision applications with ease. We start off by
manipulating images using simple filtering and geometric
transformations. We then discuss affine and projective
transformations and see how we can use them to apply cool advanced
manipulations to your photos like resizing them while keeping the
content intact or smoothly removing undesired elements. We will
then cover techniques of object tracking, body part recognition,
and object recognition using advanced techniques of machine
learning such as artificial neural network. 3D reconstruction and
augmented reality techniques are also included. The book covers
popular OpenCV libraries with the help of examples. This book is a
practical tutorial that covers various examples at different
levels, teaching you about the different functions of OpenCV and
their actual implementation. By the end of this book, you will have
acquired the skills to use OpenCV and Python to develop real-world
computer vision applications. What you will learn Detect shapes and
edges from images and videos How to apply filters on images and
videos Use different techniques to manipulate and improve images
Extract and manipulate particular parts of images and videos Track
objects or colors from videos Recognize specific object or faces
from images and videos How to create Augmented Reality applications
Apply artificial neural networks and machine learning to improve
object recognition Who this book is forThis book is intended for
Python developers who are new to OpenCV and want to develop
computer vision applications with OpenCV and Python. This book is
also useful for generic software developers who want to deploy
computer vision applications on the cloud. It would be helpful to
have some familiarity with basic mathematical concepts such as
vectors, matrices, and so on.
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