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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: R1,218
Discovery Miles 12 180
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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)
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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.
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