Seven practical cross-platform computer vision projects with Qt 5 and OpenCV 4

Leverage the power of machine learning and deep learning with OpenCV 4 and Qt 5 to create image processing, object detection, and face recognition apps.

Key Features: - Gain practical insights into the code for all projects covered in this book - Understand modern computer vision concepts such as character recognition, image processing, and modification - Learn to use a graphics processing unit (GPU) and its parallel processing power for filtering images quickly

Book Description: OpenCV and Qt have proven to be a successful combination for developing cross-platform computer vision applications. By utilizing their capabilities, you can create robust applications with intuitive graphical user interfaces (GUI) and high-performance features. This book will guide you through a variety of real-world projects, including image processing, face and text recognition, object detection, and high-performance computing. You will progressively enhance your skills by working on projects of increasing complexity.

Begin by building an image viewer application and creating a user interface from scratch. Learn how to add menus, perform actions based on key-presses, and apply various functions. Progress through using OpenCV image processing and modification functions to edit images with filters and transformation features. Explore motion analysis and facial landmark detection algorithms for building security and face detection applications. Lastly, utilize pretrained deep learning models in OpenCV and GPUs for efficient image filtering.

What you will learn: - Create an image viewer with essential features - Develop an image editor for filtering and transforming images - Build a security app for detecting movement and securing homes - Detect facial landmarks and apply masks to faces - Extract text from scanned documents and photos - Train cascade classifiers and DL models for object detection - Measure distances between detected objects - Implement high-speed image filters on GPU using OpenGL

Who this book is for: This book is for engineers and developers familiar with Qt and OpenCV frameworks, capable of creating simple projects but looking to enhance their skills for professional-level projects. Knowledge of the C++ language is required to follow the example source codes.

Table of Contents: 1. Building an Image Viewer 2. Editing Images Like A Pro 3. Home Security Application 4. Fun with Faces 5. Optical Character Recognition 6. Object Detection in Realtime 7. Real-time Car Detection and Distance Measurement 8. Using OpenGL for High-Speed Image Filtering Appendix: Additional Resources

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