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Qt 5 and OpenCV 4 Computer Vision Projects : Get up to Speed with Cross-Platform Computer Vision App Development by Building Seven Practical Projects.
Questions; Chapter 7: Real-Time Car Detection and Distance Measurement; Technical requirements; Car detection in real time; Distance measurement; Measuring the distance between cars or between the car and the camera; Measuring the distance between a car and the camera in the eye-level view; Switchin...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing, Limited,
2019.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 1 | 0 | |a Qt 5 and OpenCV 4 Computer Vision Projects : |b Get up to Speed with Cross-Platform Computer Vision App Development by Building Seven Practical Projects. |
| 260 | |a Birmingham : |b Packt Publishing, Limited, |c 2019. | ||
| 300 | |a 1 online resource (342 pages) | ||
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| 505 | 0 | |a Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Building an Image Viewer; Technical requirements; Designing the user interface; Starting the project from scratch; Setting up the full user interface; Implementing the functions for the actions; The Exit action; Opening an image; Zooming in and out; Saving a copy; Navigating in the folder; Responding to hotkeys; Summary; Questions; Chapter 2: Editing Images Like a Pro; Technical requirements; The ImageEditor application; Blurring images using OpenCV; Adding the blur action | |
| 505 | 8 | |a Building and installing OpenCV from the sourceBlurring images; QPixmap, QImage, and Mat; QPixmap; QImage; Mat; Adding features using Qt's plugin mechanism; The plugin interface; Eroding images with ErodePlugin; Loading the plugin into our application; Editing images like a pro; Sharpening images; Cartoon effect; Rotating images; Affine transformation; Summary; Questions; Chapter 3: Home Security Applications; Technical requirements; The Gazer application; Starting the project and setting up the UI; Accessing cameras; Listing cameras with Qt; Capturing and playing | |
| 505 | 8 | |a Threading and the performance of real-time video processingCapturing and playing with Qt; Calculating the FPS; Saving videos; Motion analysis with OpenCV; Motion detection with OpenCV; Sending notifications to our mobile phone; Summary; Questions; Chapter 4: Fun with Faces; Technical requirements; The Facetious application; From Gazer to Facetious; Taking photos; Detecting faces using cascade classifiers; Detecting facial landmarks; Applying masks to faces; Loading images with the Qt resource system; Drawing masks on the faces; Selecting masks on the UI; Summary; Questions | |
| 505 | 8 | |a Chapter 5: Optical Character RecognitionTechnical requirements; Creating Literacy; Designing the UI; Setting up the UI; OCR with Tesseract; Building Tesseract from the source; Recognizing characters in Literacy; Detecting text areas with OpenCV; Recognizing characters on the screen; Summary; Questions; Chapter 6: Object Detection in Real Time; Technical requirements; Detecting objects using OpenCV; Detecting objects using a cascade classifier; Training a cascade classifier; The no-entry traffic sign; The faces of Boston Bulls; Detecting objects using deep learning models; About real time | |
| 520 | |a Questions; Chapter 7: Real-Time Car Detection and Distance Measurement; Technical requirements; Car detection in real time; Distance measurement; Measuring the distance between cars or between the car and the camera; Measuring the distance between a car and the camera in the eye-level view; Switching between view modes; Summary; Questions; Chapter 8: Using OpenGL for the High-Speed Filtering of Images; Technical requirements; Hello OpenGL; OpenGL in Qt; Filtering images with OpenGL; Drawing images with OpenGL; Filtering images in the fragment shader; Saving the filtered images | ||
| 500 | |a Using OpenGL with OpenCV | ||
| 520 | |a We are entering the age of artificial intelligence, and Computer Vision plays an important role in the AI field. This book combines OpenCV 4 and Qt 5 as well as many deep learning models to develop many complete, practical, and functional applications through which the readers can learn a lot in CV, GUI, and AI domains. | ||
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| 630 | 0 | 7 | |a Qt (Electronic resource) |2 fast |
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Computer vision |x Computer programs. | |
| 650 | 0 | |a OpenCV (Computer program language) | |
| 650 | 6 | |a Vision par ordinateur. | |
| 650 | 6 | |a Vision par ordinateur |x Logiciels. | |
| 650 | 6 | |a OpenCV (Langage de programmation) | |
| 650 | 7 | |a Computer vision |2 fast | |
| 650 | 7 | |a Computer vision |x Computer programs |2 fast | |
| 650 | 7 | |a OpenCV (Computer program language) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Qingliang, Zhuo. |t Qt 5 and OpenCV 4 Computer Vision Projects : Get up to Speed with Cross-Platform Computer Vision App Development by Building Seven Practical Projects. |d Birmingham : Packt Publishing, Limited, ©2019 |z 9781789532586 |
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