Book Image

Learning OpenCV 5 Computer Vision with Python, Fourth Edition - Fourth Edition

By : Joseph Howse, Joe Minichino
5 (2)
Book Image

Learning OpenCV 5 Computer Vision with Python, Fourth Edition - Fourth Edition

5 (2)
By: Joseph Howse, Joe Minichino

Overview of this book

Computer vision is a rapidly evolving science in the field of artificial intelligence, encompassing diverse use cases 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 5 and Python 3. You'll start by setting up OpenCV 5 with Python 3 on various platforms. Next, you'll learn how to perform basic operations such as reading, writing, manipulating, and displaying images, videos, and camera feeds. From taking you through image processing, video analysis, 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. You'll tackle two popular challenges: face detection and face recognition. You'll also learn about object classification and machine learning, which will enable you to create and use object detectors and even track moving objects in real time. Later, you'll develop your skills in augmented reality and real-world 3D navigation. Finally, you'll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age, and you'll deploy your solutions to the Cloud. By the end of this book, you'll have the skills you need to execute real-world computer vision projects.
Table of Contents (12 chapters)
Free Chapter
Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle tools, techniques, and algorithms for computer vision and machine learning
Appendix A: Bending Color Space with the Curves Filter

Technical requirements

This chapter assumes that you are using one of the following operating systems:

  • Windows 10 or a later version
  • macOS 10.15 (Catalina) or a later version
  • Debian 10 (Buster) or a later version, or a derivative such as the following:
    • Ubuntu 18.04 (Bionic Beaver) or a later version
    • Linux Mint 19 or a later version
  • Arch Linux, or a derivative such as Manjaro

For editing Python scripts and other text files, this book's authors simply recommend that you should have a good text editor. Visual Studio (VS) Code is the most suitable editor because of its simplicity and almost all OS distributions support this editor. Other examples include the following:

  • Notepad++ for Windows
  • BBEdit (free version) for macOS
  • GEdit for the GNOME desktop environment on Linux
  • Kate for the KDE Plasma desktop environment on Linux

We also recommend that you have a Git client installed since this will be the easiest way to obtain the book’s latest sample code, which is hosted on GitHub...