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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 2. Editing Images Like a Pro FREE CHAPTER 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

Chapter 6, Object Detection in Real Time

  1. When we trained the cascade classifier for the faces of Boston bulls, we annotated the dog faces on each image by ourselves. The annotation process was very time-consuming. There is a tarball of annotation data for that dataset on its website: http://vision.stanford.edu/aditya86/ImageNetDogs/annotation.tar. Is it possible to generate the info.txt file from this annotation data by using a piece of code? How can this be done?

The annotation data in that tarball relates to the dogs' bodies, and not to the dogs' faces. So, we can't use it to train a classifier for the dogs' faces. However, if you want to train a classifier for the full bodies of the dogs, this can help. The data in that tarball is stored in XML format, and the annotation rectangles are the nodes with the //annotation/object/bndbox path, which we can extract...

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