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

Docker Basics

We talked enough about containers and Docker, let’s move onto an example so the whole idea becomes clearer for those unfamiliar with containerization technologies.

NOTE: Our overview of Docker will be minimal because it is far removed from the scope of this tutorial, which is not to teach you docker but to teach how to deploy OpenCV applications to scale. We will explore basic concepts and refer you to the Docker documentation available at for anything else you need to know.

First let’s see how to install the Docker engine. The official page on the docker website where you can obtain downloads is at

Docker engine used to be a CLI-only tool that lacked a bit in user friendliness. Nowadays what you download from Docker is a tool called Docker-Desktop which also includes the CLI client that Docker old-timers and CLI aficionados are used to (and probably prefer to use).

Throughout the chapter we will...