Book Image

OpenCV By Example

By : Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça
Book Image

OpenCV By Example

By: Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça

Overview of this book

Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.
Table of Contents (18 chapters)
OpenCV By Example
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Creating a library


CMake allows you to create libraries, which are indeed used by the OpenCV build system. Factorizing the shared code among multiple applications is a common and useful practice in software development. In big applications or when the common code is shared in multiple applications, this practice is very useful.

In this case, we do not create a binary executable; instead, we create a compiled file that includes all the functions, classes, and so on, developed. We can then share this library file with the other applications without sharing our source code.

CMake includes the add_library function for this purpose:

# Create our hello library
add_library(Hello hello.cpp hello.h)

# Create our application that uses our new library
add_executable(executable main.cpp)

# Link our executable with the new library
target_link_libraries( executable Hello )

The lines starting with # add comments and are ignored by CMake.

The add_library(Hello hello.cpp hello.h) command defines our new library...