Key Features

Learn how to apply complex visual effects to images with OpenCV 3.x and PythonExtract features from an image and use them to develop advanced applicationsBuild algorithms to help you understand image content and perform visual searchesGet to grips with advanced techniques in OpenCV such as machine learning, artificial neural network, 3D reconstruction, and augmented reality

Book 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 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 videosHow to apply filters on images and videosUse different techniques to manipulate and improve imagesExtract and manipulate particular parts of images and videosTrack objects or colors from videosRecognize specific object or faces from images and videosHow to create Augmented Reality applicationsApply artificial neural networks and machine learning to improve object recognition

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 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.

Table of Contents

APPLYING GEOMETRIC TRANSFORMATIONS TO IMAGESDETECTING EDGES AND APPLYING IMAGE FILTERSCARTOONIZING AN IMAGEDETECTING AND TRACKING DIFFERENT BODY PARTSEXTRACTING FEATURES FROM AN IMAGESEAM CARVINGDETECTING SHAPES AND SEGMENTING AN IMAGEOBJECT TRACKINGOBJECT RECOGNITIONAugmented RealityMachine learning by artificial neural network

About the Author

Gabriel Garrido is a multifaceted and versatile software engineer with more than 7 years of experience in developing web applications for companies such as Telefonica, Trivago, and Base7Booking. He has a degree in computer science from the University of Granada, Spain.He is passionate about coding, focusing on its quality and spending hours working on personal projects based on technologies such as computer vision, artificial intelligence, and augmented reality. Taking part in hackathons is one of his hobbies. He has won a couple of prizes for implementing beta software for a Google Cardboard hackathon and another for a travel assistant at a TNOOZ hackathon.Prateek Joshi is an artificial intelligence researcher, an author of eight published books, and a TEDx speaker. He has been featured in Forbes 30 Under 30, CNBC, TechCrunch, Silicon Valley Business Journal, and many more publications. He is the founder of Pluto AI, a venture-funded Silicon Valley start-up building an intelligence platform for water facilities. He has been an invited speaker at technology and entrepreneurship conferences including TEDx, Global Big Data Conference, Machine Learning Developers Conference, Sensors Expo, and more. His tech blog has more than 1.6 million page views from over 200 countries, and he has more than 7,400 followers. He graduated from the University of Southern California with a master's degree specializing in Artificial Intelligence. He has previously worked at NVIDIA and Microsoft Research. You can learn more about him on his personal website.

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