What is the main focus of 'Computer Vision with OpenCV 3 and Qt5'?

The book primarily focuses on building visually appealing computer vision applications using OpenCV 3 and Qt5. It covers the fundamentals of computer vision techniques alongside practical implementations. Users will learn to combine the powerful image-processing capabilities of OpenCV with the robust GUI features of Qt5, making it ideal for developing cross-platform applications. By working through the chapters, you can apply these concepts to real-world scenarios, such as creating image editors, surveillance systems, and interactive user interfaces.

Who is the target audience for this book?

This book is designed for software developers, aspiring computer vision enthusiasts, and students seeking to expand their knowledge in this technology. It assumes a basic understanding of programming concepts, particularly in C++. Whether you are a beginner looking to learn the basics of computer vision or a professional wanting to enhance your existing skills, this book provides valuable insights. It will also benefit those interested in cross-platform development with Qt5, giving a comprehensive perspective on integrating computer vision into various applications.

Are there hands-on projects included in the book?

Yes, 'Computer Vision with OpenCV 3 and Qt5' includes hands-on projects that encourage practical application of the concepts taught. Each chapter typically concludes with a project that reinforces the covered topics, allowing readers to apply what they have learned. These projects range from simple image manipulation tasks to more complex applications like object detection or face recognition. This hands-on approach ensures readers gain confidence in building their computer vision applications and can see tangible results from their efforts.

What programming language is primarily used in the book?

The primary programming language used in 'Computer Vision with OpenCV 3 and Qt5' is C++. This choice is essential as both OpenCV and Qt5 are predominantly C++ libraries, which leverage the language's efficiency and performance in building high-speed applications. If you are familiar with C++, you will find the code examples and explanations accessible. However, the book also introduces C++ concepts relevant to computer vision, making it a great opportunity for readers to strengthen their programming skills in conjunction with learning about computer vision.

Can this book be used for learning Qt5 fundamentals?

Yes, this book serves as a resource to learn Qt5 alongside computer vision. While the main focus is on integrating computer vision techniques with OpenCV, several sections delve into essential Qt5 concepts, including widget design, event handling, and multithreading. As you progress through the chapters, you will learn how to create interactive user interfaces that can handle complex image processing tasks. This dual focus on both Qt5 and OpenCV helps in understanding how to develop visually appealing applications that are responsive and efficient.

Is prior knowledge of computer vision necessary to understand the material?

No prior knowledge of computer vision is strictly necessary, as the book introduces key concepts incrementally. It starts with the foundational principles of computer vision before gradually moving on to more advanced topics and techniques. The author explains concepts in an accessible way with plenty of clear examples, ensuring that even beginners can follow along. However, having some programming experience will facilitate learning, particularly in implementing the examples and projects described throughout the book.

What tools are recommended for working along with this book?

To get the most out of 'Computer Vision with OpenCV 3 and Qt5', you will need to install OpenCV 3 and Qt5 along with a suitable Integrated Development Environment (IDE) like Qt Creator. The book provides guidance on setting up these tools, which are essential for developing the applications discussed. Additionally, knowledge of setting up development environments can prove beneficial, as it allows you to efficiently manage your projects and utilize version control systems for collaboration and backup purposes.

How does the book address multi-threading in computer vision applications?

The book includes sections dedicated to understanding multithreading in the context of computer vision applications. It explains how multithreading can improve performance by allowing concurrent processing of images and tasks, crucial in real-time applications. Readers will learn to implement threading in their Qt5 applications, significantly enhancing application responsiveness. Examples include processing video streams and handling multiple image files simultaneously, making it an invaluable resource for developing efficient and high-performance applications.

What platforms can applications built with this book run on?

Applications developed using the guidelines in 'Computer Vision with OpenCV 3 and Qt5' can run on multiple platforms, including Windows, macOS, and Linux. This cross-platform capability is one of the book's strongest points, enabling developers to create applications that can reach a wider audience. By leveraging Qt5, you can build a single codebase that compiles and runs seamlessly across different operating systems. This feature is particularly useful for developers looking to target various users without having to maintain separate applications for different platforms.

Where can I buy 'Computer Vision with OpenCV 3 and Qt5'?

You can purchase 'Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications' on Ubuy. Ubuy is a reliable online retailer that offers access to a wide variety of books and materials across different categories. By purchasing through Ubuy, you benefit from an easy browsing experience and the ability to quickly find this book along with other related resources for your learning journey.

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Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications

Develop applications with the combination of OpenCV 3 and Qt5

товар №: 21124007

Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications

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товар №: 21124007

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Cross-Platform Support

Easily build applications that run on multiple operating systems, providing flexibility and accessibility for developers targeting diverse platforms without compromising performance.

Multithreaded Performance

Leverage multithreading capabilities to enhance application responsiveness and efficiency, allowing real-time processing of visual data while maintaining smooth user experience.

Visual Appeal

Create visually stunning interfaces with Qt5 integration, ensuring that applications not only function well but also captivate users with modern design and usability.

Информация о продукте

Develop cross-platform computer vision applications using the combination of OpenCV 3 and Qt5
Learn to build robust applications using OpenCV and Qt, and create a stunning UI application with efficient image processing
Explore multithreaded application development features of Qt5 and improve OpenCV 3 application development using Qt5
Discover Computer Vision technologies such as image filtering, object detection, tracking, and video analysis
Suitable for readers interested in building computer vision applications with intermediate knowledge of C++ programming
Includes topics like creating projects, image processing, multi-threading, video analysis, debugging, and deployment

Publisher	Packt Publishing
Publication date	January 2, 2018
Language	English
Print length	448 pages
ISBN-10	178847239X
ISBN-13	978-1788472395
Item Weight	1.82 pounds (830 grams)
Dimensions	7.5 x 1.1 x 9.25 inches (19.1 x 2.8 x 23.5 cm)

Who Should Buy?

Aspiring Developers
Ideal for beginners seeking foundational knowledge in computer vision and application development using OpenCV and Qt5.
Project Managers
Beneficial for those managing computer vision projects, providing insights on building multi-platform applications effectively.
Academic Researchers
Perfect for researchers looking to implement computer vision techniques in their studies with practical applications.

Complete Beginners
Not suitable for individuals without a basic understanding of programming or computer vision concepts.

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Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications

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вопрос: Как покупать Computer Vision with OpenCV 3 and Qt5: Build в Интернете на Ubuy?

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Computer Vision & Pattern Recognition Editorial Review

"Computer Vision with OpenCV 3 and Qt5" is a comprehensive book that aims to help beginners in the Qt and OpenCV areas. The topics are explained well and the author does a great job describing what everything is. The book covers key aspects of computer vision application development, including developing runtime loadable plugins and translating the GUI. It also provides information on developing new Qt Widgets. The book is easy to read and understand, making it a practical resource for those looking to integrate Qt and OpenCV. While the book received positive feedback overall, there were some concerns with the installation guide not working for Macs with the M1 chip. Additionally, one reviewer mentioned that the tutorial in the first chapter did not work on Windows, suggesting that this portion of the book needs updating. Despite these issues, the book is praised for its thorough explanations and the practical knowledge it imparts. It is recommended that readers have some experience with C++ to fully benefit from the content. Overall, "Computer Vision with OpenCV 3 and Qt5" is a valuable resource for those looking to learn about computer vision application development with Qt and OpenCV.

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Comprehensive coverage of computer vision application development with Qt and OpenCV
Thorough explanations of concepts and topics
Practical knowledge for integrating Qt and OpenCV

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Tutorial not working on Windows in the first chapter (may need updating)

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Особенности и преимущества

Build visually appealing, multithreaded, cross-platform computer vision applications
Learn from scratch how to develop cross-platform computer vision applications
Accentuate your OpenCV applications by developing them with Qt
Create stunning UI applications using Qt widgets technology
Efficiently process images to filter them, transform them, detect or track objects, and analyze video
Improve OpenCV application development using Qt5

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Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications

KGS 6969

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