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Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

You're reading from  Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Product type Book
Published in Feb 2020
Publisher Packt
ISBN-13 9781789531619
Pages 372 pages
Edition 3rd Edition
Languages
Authors (2):
Joseph Howse Joseph Howse
Profile icon Joseph Howse
Joe Minichino Joe Minichino
Profile icon Joe Minichino
View More author details

Table of Contents (13) Chapters

Preface Setting Up OpenCV Handling Files, Cameras, and GUIs Processing Images with OpenCV Depth Estimation and Segmentation Detecting and Recognizing Faces Retrieving Images and Searching Using Image Descriptors Building Custom Object Detectors Tracking Objects Camera Models and Augmented Reality Introduction to Neural Networks with OpenCV Other Book You May Enjoy Appendix A: Bending Color Space with the Curves Filter

Technical requirements

This chapter uses Python, OpenCV, and NumPy. As part of OpenCV, it uses the optional opencv_contrib modules, which include functionality for face recognition. Some parts of this chapter use OpenCV's optional support for OpenNI 2 to capture images from depth cameras. Please refer back to Chapter 1, Setting Up OpenCV, for installation instructions.

The complete 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 chapter05 folder. Sample images are in the repository in the images folder.

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