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Mastering OpenCV 4: A comprehensive guide to building computer vision and image processing applications with C++, 3rd Edition

Book Specification

Binding Paperback
Language English
Number Of Pages 280
Author Roy Shilkrot
Publisher Packt Publishing Limited
Isbn-10 1789533570
Isbn-13 9781789533576
Dimension 19.05*1.63*23.5

Mastering OpenCV 4: A comprehensive guide to building computer vision and image processing applications with C++, 3rd Edition

Roy Shilkrot's Mastering OpenCV 4: A comprehensive guide to building computer vision and image processing applications with C++, 3rd Edition

Work on practical computer vision projects covering advanced object detector techniques and modern deep learning and machine learning Algorithms Key Features Learn about the new features that help unlock the full potential of OpenCV 4 Build Face detection applications with a cascade classifier using Face landmarks Create an optical character recognition (OCR) model using deep learning and convolutional neural networks Book DescriptionMastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to Running code, targeting current hot topics in computer vision such as Face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks. You'll learn from experienced OpenCV experts how to implement computer vision Products and projects both in academia and industry in a comfortable package. You'll get acquainted with API functionality and gain insights into Design choices in a complete computer vision project. You'll also go beyond the basics of computer vision to implement solutions for complex image processing projects. By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4. What you will learn Build real-world computer vision problems with working OpenCV code samples Uncover best practices in Engineering and maintaining OpenCV projects Explore algorithmic Design approaches for complex computer vision tasks Work with OpenCV's most updated API (v4.0.0) through projects Understand 3D scene reconstruction and Structure from Motion (SfM) Study camera calibration and overlay AR using the ArUco Module Who this book is forThis book is for those who have a Basic knowledge of OpenCV and are competent C++ programmers. You need to have an understanding of some of the more theoretical/mathematical concepts, as we move quite quickly throughout the book.
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Amazon, Paperback Rs. 719.0

Why you should read Mastering OpenCV 4: A comprehensive guide to building computer vision and image processing applications with C++, 3rd Edition by Roy Shilkrot

This book has been written by Roy Shilkrot, who has written books like Mastering OpenCV 4: A comprehensive guide to building computer vision and image processing applications with C++, 3rd Edition. The books are written in Computer Science category. This book is read by people who are interested in reading books in category : Computer Science. So, if you want to explore books similar to This book, you must read and buy this book.

How long would it take for you to read Mastering OpenCV 4: A comprehensive guide to building computer vision and image processing applications with C++, 3rd Edition

Depending on your reading style, this is how much time you would take to complete reading this book.

Reading Style Time To Finish The Book
Slow 56 hours
Average 28 hours
Good 18 hours
Excellent 9 hours
So if you are a Reader belonging in the Good category, and you read it daily for 1 hour, it will take you 18 days.
Note: A slow reader usually reads 100 words per minute, an average reader 200 words per minute, an average reader 300 words per minute and an excellent leader reads about 600-1000 words per minute, however the comprehension may vary.

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