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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
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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

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...

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