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Learning OpenCV 4 Computer Vision with Python 3

You're reading from   Learning OpenCV 4 Computer Vision with Python 3 Get to grips with tools, techniques, and algorithms for computer vision and machine learning

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781789531619
Length 372 pages
Edition 3rd Edition
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Authors (2):
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Joe Minichino Joe Minichino
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Joe Minichino
Joseph Howse Joseph Howse
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Joseph Howse
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Table of Contents (13) Chapters Close

Preface 1. Setting Up OpenCV 2. Handling Files, Cameras, and GUIs FREE CHAPTER 3. Processing Images with OpenCV 4. Depth Estimation and Segmentation 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. Other Book You May Enjoy 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 7 SP1 or a later version
  • macOS 10.7 (Lion) or a later version
  • Debian Jessie or a later version, or a derivative such as the following:
    • Ubuntu 14.04 or a later version
    • Linux Mint 17 or a later version

For editing Python scripts and other text files, this book's authors simply recommend that you should have a good text editor. 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

Besides the operating system, there are no other prerequisites for this setup chapter.

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