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Learn OpenCV 4 by Building Projects, - Second Edition

You're reading from  Learn OpenCV 4 by Building Projects, - Second Edition

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Pages 310 pages
Edition 2nd Edition
Languages
Authors (3):
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Vinícius G. Mendonça Vinícius G. Mendonça
Profile icon Vinícius G. Mendonça
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Getting Started with OpenCV 2. An Introduction to the Basics of OpenCV 3. Learning Graphical User Interfaces 4. Delving into Histogram and Filters 5. Automated Optical Inspection, Object Segmentation, and Detection 6. Learning Object Classification 7. Detecting Face Parts and Overlaying Masks 8. Video Surveillance, Background Modeling, and Morphological Operations 9. Learning Object Tracking 10. Developing Segmentation Algorithms for Text Recognition 11. Text Recognition with Tesseract 12. Deep Learning with OpenCV 13. Other Books You May Enjoy

Basic CMake configuration file

To configure and check all the requisite dependencies for our project, we are going to use CMake, but it is not the only way that this can be done; we can configure our project in any other tool or IDE, such as Makefiles or Visual Studio, but CMake is a more portable way to configure multiplatform C++ projects.

CMake uses configuration files called CMakeLists.txt, where the compilation and dependencies process is defined. For a basic project based on an executable built from a single source code file, a CMakeLists.txt file comprising three lines is all that is required. The file looks as follows:

cmake_minimum_required (VERSION 3.0) 
project (CMakeTest) 
add_executable(${PROJECT_NAME} main.cpp) 

The first line defines the minimum version of CMake required. This line is mandatory in our CMakeLists.txt file and allows us to use the functionality of...

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