ISBN
9781789347623
Build real-world computer vision and image processing applications with OpenCV and C++ :
<p><b>Explore OpenCV 4 to create visually appealing cross-platform computer vision applications</b></p> <h4>Key Features</h4> <ul><li>Understand basic OpenCV 4 concepts and algorithms </li> <li>Grasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networks </li> <li>Work with Tesseract OCR, an open-source library to recognize text in images </li> </ul> <h4>Book Description</h4> <p>OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you?re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects ? Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. </p> <p>You?ll begin with the installation of OpenCV and the basics of image processing. Then, you?ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. </p> <p>By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch. </p> <h4>What you will learn</h4> <ul><li>Install OpenCV 4 on your operating system </li> <li>Create CMake scripts to compile your C++ application </li> <li>Understand basic image matrix formats and filters </li> <li>Explore segmentation and feature extraction techniques </li> <li>Remove backgrounds from static scenes to identify moving objects for surveillance </li> <li>Employ various techniques to track objects in a live video </li> <li>Work with new OpenCV functions for text detection and recognition with Tesseract </li> <li>Get acquainted with important deep learning tools for image classification </li> </ul> <h4>Who this book is for</h4> <p>If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, Learn OpenCV 4 by Building Projects for you. Prior knowledge of C++ will help you understand the concepts covered in this book.</p>
Author/Authors: Mill?n Escriv?, David| G. Mendon?a, Vin?cius | Joshi, P
Pages: 310 | Published Date: 43434
Category: Data
ISBN
9781847190994
A fast and friendly tutorial to writing macros and spreadsheet applications :
A fast, fun, and friendly tutorial. Full of practical, step-by-step examples and clear explanations of all of the important concepts. You don’t need to be a programmer to use this book, but you do need to be familiar with the concept of a program and how simple things like a loop might work. If all you have is a taster of simple programs from high school then you will be fine.
Author/Authors: AlexanderBain, Dr Mark
Pages: 220 | Published Date: 39073
Category: Business & Other
ISBN
9781787287778
Learn efficient Python coding within 7 days :
The book is aimed at aspiring developers and absolute novice who want to get started with the world of programming. We assume no knowledge of Python for this book
Author/Authors: Mohit | Das, Bhaskar N.
Pages: 280 | Published Date: 42880
Category: Programming
