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Learning OpenCV 4 Computer Vision with Python 3

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

By : Joseph Howse, Joe Minichino
4.1 (14)
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Learning OpenCV 4 Computer Vision with Python 3

Learning OpenCV 4 Computer Vision with Python 3

4.1 (14)
By: Joseph Howse, Joe Minichino

Overview of this book

Computer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You’ll be able to put theory into practice by building apps with OpenCV 4 and Python 3. You’ll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you’ll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a GUI app, this book ensures you’ll have opportunities for hands-on activities. Next, you’ll tackle two popular challenges: face detection and face recognition. You’ll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feed. Later, you’ll develop your skills in 3D tracking and augmented reality. Finally, you’ll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age. By the end of this book, you’ll have the skills you need to execute real-world computer vision projects.
Table of Contents (13 chapters)
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Filtering matches using K-Nearest Neighbors and the ratio test

Imagine that a large group of renowned philosophers asks you to judge their debate on a question of great importance to life, the universe, and everything. You listen carefully as each philosopher speaks in turn. Finally, when all the philosophers have exhausted all their lines of argument, you review your notes and perceive two things, as follows:

  • Every philosopher disagrees with every other
  • No one philosopher is much more convincing than the others

From your first observation, you infer that at most one of the philosophers is right; however, it is possible that all the philosophers could be wrong. Then, from your second observation, you begin to fear that you are at risk of picking a philosopher who is wrong, even if one of the philosophers is correct. Any way you look at it, these people have made you late for...

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Learning OpenCV 4 Computer Vision with Python 3
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