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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

Making the script more complex

In this section, we are showing a more complex script that includes subfolders, libraries, and executables; all told, just two files and a few lines, as demonstrated in this script. It's not mandatory to create multiple CMakeLists.txt files, because we can specify everything in the main CMakeLists.txt file. However, it is more common to use different CMakeLists.txt files for each project subfolder, thereby making it more flexible and portable.

This example has a code structure folder, which contains one folder for a utils library and the root folder, which contains the main executable:

CMakeLists.txt 
main.cpp 
utils/ 
   CMakeLists.txt 
   computeTime.cpp 
   computeTime.h 
   logger.cpp 
   logger.h 
   plotting.cpp 
   plotting.h 

Then, we have to define two CMakeLists.txt files, one in the root folder and the other in the utils folder. The...

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