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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

Creating a library

CMake allows us to create libraries used by the OpenCV build system. Factorizing shared code among multiple applications is a common and useful practice in software development. In big applications, or common code shared in multiple applications, this practice is very useful. In this case, we do not create a binary executable, but instead we create a compiled file that includes all the functions, classes, and so on. We can then share this library file with other applications without sharing our source code.

CMake includes the add_library function to this end:

# 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...

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