$5 Tech Unlocked 2021!
If you have read this book, please leave a review on Amazon.com. Potential readers can then use your unbiased opinion to help them make purchase decisions. Thank you. The $5 campaign runs from December 15th 2020 to January 13th 2021.
Qt 5 and OpenCV 4 Computer Vision Projects
This is the code repository for Qt 5 and OpenCV 4 Computer Vision Projects, published by Packt.
Get up to speed with cross-platform computer vision app development by building seven practical projects
What is this book about?
We are entering the age of artificial intelligence, and Computer Vision plays an important role in the AI field. This book combines OpenCV 4 and Qt 5 as well as many deep learning models to develop many complete, practical, and functional applications through which the readers can learn a lot in CV, GUI, and AI domains.
This book covers the following exciting features: Create an image viewer with all the basic requirements Construct an image editor to filter or transform images Develop a security app to detect movement and secure homes Build an app to detect facial landmarks and apply masks to faces Create an app to extract text from scanned documents and photos Train and use cascade classifiers and DL models for object detection Build an app to measure the distance between detected objects Implement high-speed image filters on GPU with Open Graphics Library (OpenGL)
If you feel this book is for you, get your copy today!
Instructions and Navigations
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
QMenu *editMenu; QToolBar *editToolBar; QAction *blurAction;
Following is what you need for this book: This book is for engineers and developers who are familiar with both Qt and OpenCV frameworks and are capable of creating simple projects using them, but want to build their skills to create professional-level projects using them. Familiarity with the C++ language is a must to follow the example source codes in this book.
With the following software and hardware list you can run all code files present in the book (Chapter 1-8).
Software and Hardware List
|Chapter||Software required||OS required|
|1||Qt 5.x||Windows, Mac OS X, and Linux (Any)|
|2, 3||Qt 5.x, OpenCV 4.x||Windows, Mac OS X, and Linux (Any)|
|4||Qt 5.x, OpenCV 4.x, OpenCV Extra Modules 4.x||Windows, Mac OS X, and Linux (Any)|
|5||Qt 5.x, OpenCV 4.x, Tesseract 4.x||Windows, Mac OS X, and Linux (Any)|
|6||Qt 5.x, OpenCV 3.4.5, OpenCV 4.x||Windows, Mac OS X, and Linux (Any)|
|7||Qt 5.x, OpenCV 4.x||Windows, Mac OS X, and Linux (Any)|
|8||Qt 5.x, Mesa 18.x (only on Linux), GLFW 3.x, GLEW 2.x||Windows, Mac OS X, and Linux (Any)|
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Code in Action
Click on the following link to see the Code in Action:
[[Packt]](Mastering OpenCV 4 - Third Edition?utm_source=github&utm_medium=repository&utm_campaign=) [Amazon]
Get to Know the Author
Zhuo Qingliang (a.k.a. @KDr2 online) is presently working at Beijing Paoding Technology Co. LTD., a start-up Fintech company in China that is dedicated to improving the financial industry by using artificial intelligence technologies. He has over 10 years’ experience in Linux, C, C++, Python, Perl, and Java development. He is interested in programming, doing consulting work, participating in and contributing to the open source community (of course, includes the Julia community).
Other books by the authors
Suggestions and Feedback
Click here if you have any feedback or suggestions.