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Mastering OpenCV 4 with Python

You're reading from  Mastering OpenCV 4 with Python

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789344912
Pages 532 pages
Edition 1st Edition
Languages
Author (1):
Alberto Fernández Villán Alberto Fernández Villán
Profile icon Alberto Fernández Villán

Table of Contents (20) Chapters

Preface Section 1: Introduction to OpenCV 4 and Python
Setting Up OpenCV Image Basics in OpenCV Handling Files and Images Constructing Basic Shapes in OpenCV Section 2: Image Processing in OpenCV
Image Processing Techniques Constructing and Building Histograms Thresholding Techniques Contour Detection, Filtering, and Drawing Augmented Reality Section 3: Machine Learning and Deep Learning in OpenCV
Machine Learning with OpenCV Face Detection, Tracking, and Recognition Introduction to Deep Learning Section 4: Mobile and Web Computer Vision
Mobile and Web Computer Vision with Python and OpenCV Assessments Other Books You May Enjoy

Technical requirements

The technical requirements for this chapter are listed as follows:

  • Python and OpenCV
  • A Python-specific IDE
  • The NumPy and Matplotlib packages
  • A Git client

For further details on how to install these requirements, see Chapter 1, Setting Up OpenCV. The GitHub repository, Mastering OpenCV 4 with Python, containing all the supporting project files necessary to work through this book from the first chapter to the last one, can be accessed at: https://github.com/PacktPublishing/Mastering-OpenCV-4-with-Python.

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