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Aggiungi al carrelloSoftcover. Condizione: Fine. Leichte Risse. Explore OpenCV 4 to create visually appealing cross-platform computer vision applications. This resource covers essential OpenCV 4 concepts and algorithms, delving into advanced techniques like 3D reconstruction, machine learning, and artificial neural networks. It also includes Tesseract OCR, an open-source library for text recognition in images. OpenCV is a premier open-source library, perfect for constructing projects focused on image processing, motion detection, and image segmentation. Whether you're new to computer vision or have some foundational knowledge, this guide provides real-world examples and projects to enhance your understanding. You'll start with OpenCV installation and basic image processing, then progress to user interfaces and more complex algorithms, including machine learning and face detection.The book also covers optical flow video analysis and background subtraction in complex scenes. In the final chapters, you will learn about text segmentation and recognition, along with the new deep learning module. By the end, you will understand matrix operations, filters, and histograms, mastering essential computer vision techniques to create OpenCV projects from scratch.Ideal for software developers with a basic understanding of computer vision and image processing, this guide will help you develop engaging applications with OpenCV. Prior knowledge of C++ is beneficial for grasping the concepts presented.
Condizione: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. OpenCV is mainly used in Computer Vision and image processing and is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. This boo.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Explore OpenCV 4 to create visually appealing cross-platform computer vision applicationsKey Features: Understand basic OpenCV 4 concepts and algorithms Grasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networks Work with Tesseract OCR, an open-source library to recognize text in imagesBook Description: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.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.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.What You Will Learn: Install OpenCV 4 on your operating system Create CMake scripts to compile your C++ application Understand basic image matrix formats and filters Explore segmentation and feature extraction techniques Remove backgrounds from static scenes to identify moving objects for surveillance Employ various techniques to track objects in a live video Work with new OpenCV functions for text detection and recognition with Tesseract Get acquainted with important deep learning tools for image classificationWho this book is for: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.Table of Contents Getting started with OpenCV An introduction to the basics of OpenCV Learning graphical user interfaces Delving into histrograms and filters Automated optical inspection, object segmentation and detection Learning object classification Detecting face parts and overlaying masks Video surveillance, background modeling, and morphological operations Learning object tracking Developing segmentation algorithms for text recognition Text recognition with Tesseract Deep Learning with OpenCV.
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Learn OpenCV 4 by Building Projects - Second Edition | Build real-world computer vision and image processing applications with OpenCV and C++ | David Millán Escrivá (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Packt Publishing | EAN 9781789341225 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.