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

What are Containers?

We mentioned containers and Docker. Let’s see what they are and why they are so important in our day and age.

First of all, containers are a form of virtualization, that is, making a single physical machine run on or more “machines”, which are called virtual.

But while Virtual Machines (or VMs) are an abstraction of the hardware layer and simulate the entire operating system, in fact VM images are huge, in the order of GBs.

Containers however, are an abstraction at the application layer, and container images can be as small as tens of MBs, and they package code and dependencies into a single image that can be deployed in several ways.

The most popular technology for container deployment and orchestration is Kubernetes, and in AWS you can do this with a Kubernetes equivalent (Elastic Kubernetes Service or EKS), or three separate tools called ECS (Elastic Container Service), Fargate and AWS Lambda.

We will limit ourselves to the simplest and easiest...