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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 uses Python, OpenCV, and NumPy. Some parts of the chapter use a depth camera, such as Asus Xtion PRO, along with OpenCV's optional support for OpenNI 2 in order to capture images from such a camera. Please refer back to Chapter 1, Setting Up OpenCV, for installation instructions. The chapter also uses Matplotlib to make charts. To install matplotlib, run $ pip install matplotlib (or $ pip3 install matplotlib, depending on your environment).

The completed code for this chapter can be found in this book's GitHub
repository, https://github.com/PacktPublishing/Learning-OpenCV-4-Computer-Vision-with-Python-Third-Edition, in the chapter04 folder. Sample images are in the repository in the images folder.

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