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Key benefits

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 understand the image content and recognize objects in an image

Description

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.

Who is this book 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 objects in an image and understand the content

Reconstruct a 3D map from images

Build an augmented reality application

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

AU$75.99

AU$60.99

Learning OpenCV 3 Computer Vision with Python (Update)

AU$75.99

Total AU$ 212.97

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Prashant Bhardwaj Dec 28, 2016

Really good for starting off in Opencv and creating applications.

Amazon Verified review

Sridhar D Dec 18, 2015

Excellent introduction to OpenCV and Computer Vision.The chapters are written in a clear and concise manner. Even though I'm a beginner in Python, I could understand what's going on. I enjoyed reading the sections after code snippets where the author explains what's going on. Some of the really technical topics are explained very nicely, which helps beginners like myself. It was fun to understand how those image transformations actually work. Overall, I would say it was a great experience! You'll need to be familiar with Python if you want to fully appreciate the book. I don't know that much Python, but the code was pretty easy to follow.

Gopal Lingsur Dec 23, 2015

I am a huge fan of Prateek Joshi's blog and I think he is excellent at explaining things. I really like his writing style, so I was looking forward to getting this book. It is very well written and the explanations are clear. Another thing I liked about it is the abundance of images and code samples. The code is well commented and it helped me visualize the results at each step.I was happy to see different chapters dedicated to various aspects of computer vision. At the end of each chapter, you get to see something working. There's not a single chapter that's "dull". It was really fun when I saw the output of the augmented reality code on my own laptop. I would highly recommend this book to people who want to get started with computer vision and OpenCV.

Pramod kulkarni Dec 18, 2015

Great book to get started on open CV . This is an excellent book for beginners like me. I really liked how the author breaks down each topic to explain it in simple terms. Computer vision algorithm are very mathematical but the author has done a great job of communicating them. I especially liked the chapters on panoramic imaging and seam carving . It feels good to understand the underlying concepts without going through all the equations. The book also provides relevant links wherever required so that we can follow up in more details

Spoorthi V. Dec 16, 2015

Very easy to follow! The examples are friendly and I liked the explanations. I'm not very familiar with OpenCV, so I wanted to try it out. I enjoyed playing around with projects like augmented reality and object recognition. You need to know a little bit of Python to understand what's going on. The best thing about this book is the focus on intuitive explanations and the associated real-life examples.I liked how the author starts each topic with by explaining the problem. It's easy to follow the flow of the topic when we know why we are solving it in the first place. I liked the clear explanations in some of the more involved topics like object tracking and 3D reconstruction. I would definitely recommend this to people who want to get started with computer vision.

OpenCV with Python By Example: Build real-world computer vision applications and develop cool demos using OpenCV for Python

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