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Learn OpenCV 4 by Building Projects - Build real-world computer vision and image processing applications with OpenCV and C++, 2nd Edition (Paperback, 2nd Revised edition) Loot Price: R1,291
Discovery Miles 12 910
Learn OpenCV 4 by Building Projects - Build real-world computer vision and image processing applications with OpenCV and C++,...

Learn OpenCV 4 by Building Projects - Build real-world computer vision and image processing applications with OpenCV and C++, 2nd Edition (Paperback, 2nd Revised edition)

David Millan Escriva, Vinicius G. Mendonca, Prateek Joshi

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Loot Price R1,291 Discovery Miles 12 910 | Repayment Terms: R121 pm x 12*

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Explore OpenCV 4 to create visually appealing cross-platform computer vision applications Key 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 images Book DescriptionOpenCV 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 classification Who this book is forIf 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.

General

Imprint: Packt Publishing Limited
Country of origin: United Kingdom
Release date: December 2018
Authors: David Millan Escriva • Vinicius G. Mendonca • Prateek Joshi
Dimensions: 93 x 75 x 15mm (L x W x T)
Format: Paperback
Pages: 310
Edition: 2nd Revised edition
ISBN-13: 978-1-78934-122-5
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Computer programming > Programming languages > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN: 1-78934-122-1
Barcode: 9781789341225

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