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Qt 5 and OpenCV 4 Computer Vision Projects

You're reading from   Qt 5 and OpenCV 4 Computer Vision Projects Get up to speed with cross-platform computer vision app development by building seven practical projects

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789532586
Length 348 pages
Edition 1st Edition
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Author (1):
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Zhuo Qingliang Zhuo Qingliang
Author Profile Icon Zhuo Qingliang
Zhuo Qingliang
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Table of Contents (11) Chapters Close

Preface 1. Building an Image Viewer FREE CHAPTER 2. Editing Images Like a Pro 3. Home Security Applications 4. Fun with Faces 5. Optical Character Recognition 6. Object Detection in Real Time 7. Real-Time Car Detection and Distance Measurement 8. Using OpenGL for the High-Speed Filtering of Images 9. Assessments 10. Other Books You May Enjoy

Summary

In this chapter, we created a new application named Detective to detect objects using different approaches. First, we used an OpenCV built-in cascade classifier to detect the faces of cats. Then we learned how to train cascade classifiers by ourselves. We trained a cascade classifier for a rigid object (a no-entry traffic sign) and a cascade classifier for a less rigid object (the faces of Boston Bulls), then tested this with our application.

We moved on to the deep learning approach. We talked about the increasingly expanding deep learning technology, introduced many frameworks, and learned about the different ways in which a DNN model may detect objects using two-stage detectors and one-stage detectors. We combined the DNN module of the OpenCV library and the pretrained YOLOv3 model to detect objects in our application.

At the end, we talked about real time and the performance...

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