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OpenCV with Python By Example: Build real-world computer
vision applications and develop cool demos using OpenCV for
Python
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Paperback: 296 pages Publisher: Packt Publishing (September 2015) Language: English ISBN-10:
9781785283932 ISBN-13: 978-1785283932 ASIN: 1785283936 Product Dimensions: 7.5 x 0.7 x 9.2 inches
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Book Description
Build real-world computer vision applications and develop cool demos using OpenCV for
PythonAbout This BookLearn how to apply complex visual effects to images using geometric
transformations and image filtersExtract features from an image and use them to develop
advanced applicationsBuild algorithms to help you understand the image content and perform
visual searchesWho This Book Is For This book is intended for Python developers who are new to
OpenCV and want to develop computer vision applications with OpenCV-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.What You Will LearnApply geometric transformations to images,
perform image filtering, and convert an image into a cartoon-like imageDetect and track various
body parts such as the face, nose, eyes, ears, and mouthStitch multiple images of a scene together
to create a panoramic imageMake an object disappear from an imageIdentify different shapes,
segment an image, and track an object in a live videoRecognize an object in an image and build a
visual search engineReconstruct a 3D map from imagesBuild an augmented reality applicationIn
Detail Computer 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 are
getting more processing power to work with. Using this technology, we can seamlessly integrate
our computer vision applications into the cloud. Web developers can develop complex
applications without having to reinvent the wheel. This book will walk you through all the
building blocks needed to build amazing computer vision applications with ease. We start off with
applying geometric transformations to images. We then discuss affine and projective
transformations and see how we can use them to apply cool geometric effects to photos. We will
then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other
computer vision applications. This book will also provide clear examples written in Python to
build OpenCV applications. The book starts off with simple beginner's level tasks such as basic
processing and handling images, image mapping, and detecting images. It also covers popular
OpenCV libraries with the help of examples. The book is a practical tutorial that covers various
examples at different levels, teaching you about the different functions of OpenCV and their
actual implementation.Style and approach This is a conversational-style book filled with hands-on
examples that are really easy to understand. Each topic is explained very clearly and is followed
by a programmatic implementation so that the concept is solidified. Each topic contributes to
something bigger in the following chapters, which helps you understand how to piece things
together to build something big and complex.

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