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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

About real time

When we handle videos, either video files or real-time video feeds from cameras, we know that the frame rate of the videos is about 24-30 FPS in general. That means we have 33-40 milliseconds to process each frame. If we take more time than that, we will lose some frames from a real-time video feed, or get a slower playing speed from a video file.

Now, let's add some code to our application to measure how much time we spend on each frame while detecting objects. First, in the Detective.pro project file, we add a new macro definition:

DEFINES += TIME_MEASURE=1

We will use this macro to switch the time-measuring code on or off. If you want to turn off the time measuring, just comment this line out, then rebuild the application by running the make clean && make command.

Then, in the CaptureThread::run method, in the capture_thread.cpp file, we add some...

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