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

Generating a CMake script file


Before we start creating our source file, we will generate the CMakeLists.txt file that will allow us to compile our project, structure, and executable. The following cmake script is simple and basic but enough to compile and generate the executable:

cmake_minimum_required (VERSION 2.6)

cmake_policy(SET CMP0012 NEW)

PROJECT(Chapter4_Phototool)

# Requires OpenCV
FIND_PACKAGE( OpenCV 3.0.0 REQUIRED )

include_directories(${OpenCV_INCLUDE_DIRS})
link_directories(${OpenCV_LIB_DIR})

ADD_EXECUTABLE( ${PROJECT_NAME} main.cpp )
TARGET_LINK_LIBRARIES( ${PROJECT_NAME} ${OpenCV_LIBS} )

Let's try to understand the script file.

The first line indicates the minimum cmake version required to generate our project, and the second line sets the CMP0012 policy variable to allow you to identify numbers and Boolean constants and remove the CMake warning if it is not set:

cmake_minimum_required (VERSION 2.6)
cmake_policy(SET CMP0012 NEW)

After these two lines, we define the project...