Book Image

Building Computer Vision Projects with OpenCV 4 and C++

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

Building Computer Vision Projects with OpenCV 4 and C++

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

Overview of this book

OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books: •Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millán Escrivá •Learn OpenCV 4 By Building Projects - Second Edition by David Millán Escrivá, Vinícius G. Mendonça, and Prateek Joshi
Table of Contents (28 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

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 CMakeLists.txt root folder file has the following content:

    cmake_minimum_required (VERSION 3.0) 
    project (Chapter2...