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Learning OpenCV 5 Computer Vision with Python

You're reading from   Learning OpenCV 5 Computer Vision with Python Tackle computer vision and machine learning with the newest tools, techniques and algorithms

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Product type Paperback
Published in Jul 2025
Publisher Packt
ISBN-13 9781803230221
Length
Edition 4th Edition
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Authors (2):
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Joe Minichino Joe Minichino
Author Profile Icon Joe Minichino
Joe Minichino
Joseph Howse Joseph Howse
Author Profile Icon Joseph Howse
Joseph Howse
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Table of Contents (12) Chapters Close

1. Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle tools, techniques, and algorithms for computer vision and machine learning FREE CHAPTER
2. Setting Up OpenCV 3. Handling Files, Cameras, and GUIs 4. Processing Images with OpenCV 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Building Custom Object Detectors 8. Tracking Objects 9. Camera Models and Augmented Reality 10. Introduction to Neural Networks with OpenCV 11. OpenCV Applications at Scale 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 https://docs.docker.com/ 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 https://docs.docker.com/engine/install/

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...

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