What this book covers

Chapter 1, Setting Up OpenCV, explains how to set up OpenCV 3 with Python on different platforms. It will also troubleshoot common problems.

Chapter 2, Handling Files, Cameras, and GUIs, introduces OpenCV's I/O functionalities. It will also discuss the concept of a project and the beginnings of an object-oriented design for this project.

Chapter 3, Processing Images with OpenCV 3, presents some techniques required to alter images, such as detecting skin tone in an image, sharpening an image, marking contours of subjects, and detecting crosswalks using a line segment detector.

Chapter 4, Depth Estimation and Segmentation, shows you how to use data from a depth camera to identify foreground and background regions, such that we can limit an effect to only the foreground or background.

Chapter 5, Detecting and Recognizing Faces, introduces some of OpenCV's face detection functionalities, along with the data files that define particular types of trackable objects.

Chapter 6, Retrieving Images and Searching Using Image Descriptors, shows how to detect the features of an image with the help of OpenCV and make use of them to match and search for images.

Chapter 7, Detecting and Recognizing Objects, introduces the concept of detecting and recognizing objects, which is one of the most common challenges in computer vision.

Chapter 8, Tracking Objects, explores the vast topic of object tracking, which is the process of locating a moving object in a movie or video feed with the help of a camera.

Chapter 9, Neural Networks with OpenCV – an Introduction, introduces you to Artificial Neural Networks in OpenCV and illustrates their usage in a real-life application.