Mastering OpenCV 4 with Python : A Practical Guide Covering Topics from Image Processing, Augmented Reality to Deep Learning with OpenCV 4 and Python 3. 7.

Cover
 Title Page
 Copyright and Credits
 About Packt
 Contributors
 Table of Contents
 Preface
 Section 1: Introduction to OpenCV 4 and Python
 Chapter 1: Setting Up OpenCV
 Technical requirements
 Code testing specifications
 Hardware specifications
 Understanding Python
 Introducing OpenCV
 Contextualizing the reader
 A theoretical introduction to the OpenCV library
 OpenCV modules
 OpenCV users
 OpenCV applications
 Why citing OpenCV in your research work
 Installing OpenCV, Python, and other packages
 Installing Python, OpenCV, and other packages globally
 Installing Python Installing Python on LinuxInstalling Python on Windows
 Installing OpenCV
 Installing OpenCV on Linux
 Installing OpenCV on Windows
 Testing the installation
 Installing Python, OpenCV, and other packages with virtualenv
 Python IDEs to create virtual environments with virtualenv
 Anaconda/Miniconda distributions and conda package-and environment-management system 
 Packages for scientific computing, data science, machine learning, deep learning, and computer vision
 Jupyter Notebook
 Trying Jupiter Notebook online 
 Installing the Jupyter Notebook
 Installing Jupyter using Anaconda Installing Jupyter with pipThe OpenCV and Python project structure
 Our first Python and OpenCV project
 Summary
 Questions
 Further reading
 Chapter 2: Image Basics in OpenCV
 Technical requirements
 A theoretical introduction to image basics
 Main problems in image processing
 Image-processing steps
 Images formulation
 Concepts of pixels, colors, channels, images, and color spaces
 File extensions
 The coordinate system in OpenCV
 Accessing and manipulating pixels in OpenCV
 Accessing and manipulating pixels in OpenCV with BGR images Accessing and manipulating pixels in OpenCV with grayscale imagesBGR order in OpenCV
 Summary
 Questions
 Further reading
 Chapter 3: Handling Files and Images
 Technical requirements
 An introduction to handling files and images
 sys.argv
 Argparse - command-line option and argument parsing
 Reading and writing images
 Reading images in OpenCV
 Reading and writing images in OpenCV
 Reading camera frames and video files
 Reading camera frames
 Accessing some properties of the capture object
 Saving camera frames
 Reading a video file
 Reading from an IP camera
 Writing a video file Calculating frames per secondConsiderations for writing a video file
 Playing with video capture properties
 Getting all the properties from the video capture object
 Using the properties - playing a video backwards
 Summary
 Questions
 Further reading
 Chapter 4: Constructing Basic Shapes in OpenCV
 Technical requirements
 A theoretical introduction to drawing in OpenCV
 Drawing shapes
 Basic shapes --
lines, rectangles, and circles
 Drawing lines
 Drawing rectangles
 Drawing circles
 Understanding advanced shapes
 Drawing a clip line
 Drawing arrows
 Drawing ellipses
 Drawing polygons