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OpenCV with Python By Example (Paperback)
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OpenCV with Python By Example (Paperback)
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Build real-world computer vision applications and develop cool
demos using OpenCV for Python About This Book * Learn how to apply
complex visual effects to images using geometric transformations
and image filters * Extract features from an image and use them to
develop advanced applications * Build algorithms to help you
understand the image content and perform visual searches Who 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 Learn * Apply geometric transformations to images, perform
image filtering, and convert an image into a cartoon-like image *
Detect and track various body parts such as the face, nose, eyes,
ears, and mouth * Stitch multiple images of a scene together to
create a panoramic image * Make an object disappear from an image *
Identify different shapes, segment an image, and track an object in
a live video * Recognize an object in an image and build a visual
search engine * Reconstruct a 3D map from images * Build an
augmented reality application In 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.
General
Imprint: |
Packt Publishing Limited
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Country of origin: |
United Kingdom |
Release date: |
September 2015 |
Authors: |
Prateek Joshi
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Dimensions: |
235 x 191 x 19mm (L x W x T) |
Format: |
Paperback
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Pages: |
296 |
ISBN-13: |
978-1-78528-393-2 |
Categories: |
Books >
Computing & IT >
Computer programming >
General
|
LSN: |
1-78528-393-6 |
Barcode: |
9781785283932 |
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