A debugger is a program that can be used to test and other programs, in case of a sudden crash during the program execution or an unexpected behavior in the logic of the program. Most of the time (if not always), debuggers are used in the development environment and in conjunction with an IDE. In our case, we will learn how to use a debugger with Qt Creator. It is important to note that debuggers are not part of the Qt Framework, and, just like compilers, they are usually provided by the operating system SDK. Qt Creator automatically detects and uses debuggers if they are present on a system. This can be by navigating into the Qt Creator Options page via the main menu Tools
and then Options
. Make sure to select Build & Run
from the list on the left side and then switch to the Debuggers
tab from the top. You should be able to see one or auto-detected debuggers on the list.
Computer Vision with OpenCV 3 and Qt5
By :
Computer Vision with OpenCV 3 and Qt5
By:
Overview of this book
Developers have been using OpenCV library to develop computer vision applications for a long time. However, they now need a more effective tool to get the job done and in a much better and modern way. Qt is one of the major frameworks available for this task at the moment.
This book will teach you to develop applications with the combination of OpenCV 3 and Qt5, and how to create cross-platform computer vision applications. We’ll begin by introducing Qt, its IDE, and its SDK. Next you’ll learn how to use the OpenCV API to integrate both tools, and see how to configure Qt to use OpenCV. You’ll go on to build a full-fledged computer vision application throughout the book.
Later, you’ll create a stunning UI application using the Qt widgets technology, where you’ll display the images after they are processed in an efficient way. At the end of the book, you’ll learn how to convert OpenCV Mat to Qt QImage. You’ll also see how to efficiently process images to filter them, transform them, detect or track objects as well as analyze video. You’ll become better at developing OpenCV applications.
Table of Contents (19 chapters)
Title Page
Dedication
Packt Upsell
Foreword
Contributors
Preface
Free Chapter
Introduction to OpenCV and Qt
Creating Our First Qt and OpenCV Project
Creating a Comprehensive Qt+OpenCV Project
Mat and QImage
The Graphics View Framework
Image Processing in OpenCV
Features and Descriptors
Multithreading
Video Analysis
Debugging and Testing
Linking and Deployment
Qt Quick Applications
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Customer Reviews