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

Managing dependencies


CMake has the ability to search our dependencies and external libraries, giving us the ability to build complex projects, depending on the external components in our projects, and add some requirements.

In this book, the most important dependency is, of course, OpenCV, and we will add it to all of our projects:

    cmake_minimum_required (VERSION 3.0) 
    PROJECT(Chapter2) 
# Requires OpenCV 
    FIND_PACKAGE( OpenCV 4.0.0 REQUIRED ) 
# Show a message with the opencv version detected 
    MESSAGE("OpenCV version : ${OpenCV_VERSION}") 
# Add the paths to the include directories/to the header files
    include_directories(${OpenCV_INCLUDE_DIRS}) 
# Add the paths to the compiled libraries/objects
    link_directories(${OpenCV_LIB_DIR}) 
# Create a variable called SRC 
    SET(SRC main.cpp) 
# Create our executable 
    ADD_EXECUTABLE(${PROJECT_NAME} ${SRC}) 
# Link our library 
    TARGET_LINK_LIBRARIES(${PROJECT_NAME} ${OpenCV_LIBS})

 

Now, let's understand the working of...