Book Image

Qt 5 and OpenCV 4 Computer Vision Projects

By : Zhuo Qingliang
4 (1)
Book Image

Qt 5 and OpenCV 4 Computer Vision Projects

4 (1)
By: Zhuo Qingliang

Overview of this book

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.
Table of Contents (11 chapters)

Chapter 3, Home Security Applications

  1. Can we detect motion from a video file instead of from a camera? How is this achieved?

Yes, we can. Just use the video file path to construct the VideoCapture instance. More details can be found at https://docs.opencv.org/4.0.0/d8/dfe/classcv_1_1VideoCapture.html.

  1. Can we perform the motion detection work in a thread that differs from the video capturing thread? If so, how is this possible?

Yes. But we should use a number of synchronization mechanisms to ensure data safety. Also, if we dispatch the frames to different threads, we must ensure that the order of the resulting frames is also correct when they are sent back and are about to be shown.

  1. IFTTT allows you to include images in the notifications it sends—How could we send an image with the motion we detected while sending notifications to your mobile phone via this feature...