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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

Accessing cameras

In the preceding section, we set up the UI of our application. In this section, we will play the video feed that's provided by a camera from a personal computer.

Before accessing a camera, we should find out some information about it—if we use OpenCV, we need the index of the camera that we want to capture a video from; if we use Qt, we need the device name of it. For a typical laptop, it usually has one default built-in webcam whose index is 0, but its name is platform or environment dependent. If we have multiple webcams for a computer, usually both of their indices and names are platform or environment dependent. To determine this information, we can turn to the QCameraInfo class from the Qt library.

Listing cameras with Qt

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