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Qt 5 and OpenCV 4 Computer Vision Projects

You're reading from  Qt 5 and OpenCV 4 Computer Vision Projects

Product type Book
Published in Jun 2019
Publisher Packt
ISBN-13 9781789532586
Pages 348 pages
Edition 1st Edition
Languages
Author (1):
Zhuo Qingliang Zhuo Qingliang
Profile icon Zhuo Qingliang

Table of Contents (11) Chapters

Preface Building an Image Viewer Editing Images Like a Pro Home Security Applications Fun with Faces Optical Character Recognition Object Detection in Real Time Real-Time Car Detection and Distance Measurement Using OpenGL for the High-Speed Filtering of Images Assessments 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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