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Discover interesting recipes to help you understand the concepts of object detection, image processing, and facial detection
Key Features
Explore the latest features and APIs in OpenCV 4 and build computer vision algorithms
Develop effective, robust, and fail-safe vision for your applications
Build computer vision algorithms with machine learning capabilities
Book Description
OpenCV is an image and video processing library used for all types of image and video analysis. Throughout the book, you'll work through recipes that implement a variety of tasks, such as facial recognition and detection. With 70 self-contained tutorials, this book examines common pain points and
best practices for computer vision (CV) developers. Each recipe addresses a specific problem and offers a proven, best-practice solution with insights into how it works, so that you can copy the code and configuration files and modify them to suit your needs.
This book begins by setting up OpenCV, and explains how to manipulate pixels. You'll understand how you can process images with classes and count pixels with histograms. You'll also learn detecting, describing, and matching interest points. As you advance through the chapters, you'll get to grips
with estimating projective relations in images, reconstructing 3D scenes, processing video sequences, and tracking visual motion. In the final chapters, you'll cover deep learning concepts such as face and object detection.
By the end of the book, you'll be able to confidently implement a range to computer vision algorithms to meet the technical requirements of your complex CV projects
What you will learn
Install and create a program using the OpenCV library
Segment images into homogenous regions and extract meaningful objects
Apply image filters to enhance image content
Exploit image geometry to relay different views of a pictured scene
Calibrate the camera from different image observations
Detect people and objects in images using machine learning techniques
Reconstruct a 3D scene from images
Explore face detection using deep learning
Who this book is for
If you're a CV developer or professional who already uses or would like to use OpenCV for building computer vision software, this book is for you. You'll also find this book useful if you're a C++ programmer looking to extend your computer vision skillset by learning OpenCV.
Create image processing, object detection and face recognition apps by leveraging the power of machine learning and deep learning with OpenCV 4 and Qt 5
Key Features
Gain practical insights into 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 winning combination for developing cross-platform computer vision applications. By leveraging their power, you can create robust applications with both an intuitive graphical user interface (GUI) and high-performance capabilities. This book will help you learn
through a variety of real-world projects on image processing, face and text recognition, object detection, and high-performance computing. You'll be able to progressively build on your skills by working on projects of increasing complexity.
You'll begin by creating an image viewer application, building a user interface from scratch by adding menus, performing actions based on key-presses, and applying other functions. As you progress, the book will guide you through using OpenCV image processing and modification functions to edit an
image with filters and transformation features. In addition to this, you'll explore the complex motion analysis and facial landmark detection algorithms, which you can use to build security and face detection applications. Finally, you'll learn to use pretrained deep learning models in OpenCV and
GPUs to filter images quickly.
By the end of this book, you will have learned how to effectively develop full-fledged computer vision applications with OpenCV and Qt.
What you will learn
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)
Who this book is for
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.