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OpenCV 4 for Secret Agents

You're reading from   OpenCV 4 for Secret Agents Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789345360
Length 336 pages
Edition 2nd Edition
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Authors (2):
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Joseph Howse Joseph Howse
Author Profile Icon Joseph Howse
Joseph Howse
Arun Ponnusamy Arun Ponnusamy
Author Profile Icon Arun Ponnusamy
Arun Ponnusamy
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: The Briefing FREE CHAPTER
2. Preparing for the Mission 3. Searching for Luxury Accommodations Worldwide 4. Section 2: The Chase
5. Training a Smart Alarm to Recognize the Villain and His Cat 6. Controlling a Phone App with Your Suave Gestures 7. Equipping Your Car with a Rearview Camera and Hazard Detection 8. Creating a Physics Simulation Based on a Pen and Paper Sketch 9. Section 3: The Big Reveal
10. Seeing a Heartbeat with a Motion-Amplifying Camera 11. Stopping Time and Seeing like a Bee 12. Making WxUtils.py Compatible with Raspberry Pi
13. Learning More about Feature Detection in OpenCV
14. Running with Snakes (or, First Steps with Python)
15. Other Books You May Enjoy

Integrating everything into the GUI

For Luxocator's front end, let's create a file called Luxocator.py. This module depends on OpenCV, wxPython, and some of Python's standard OS and threading functionality. It also depends on all the other modules that we have written in this chapter. Add the following shebang line and import statements at the top of the file:

#!/usr/bin/env python


import numpy # Hint to PyInstaller
import cv2
import os
import threading
import wx

from HistogramClassifier import HistogramClassifier
from ImageSearchSession import ImageSearchSession
import PyInstallerUtils
import ResizeUtils
import WxUtils

Now, let's implement the Luxocator class as a subclass of wx.Frame, which represents a GUI frame such as the contents of a window. Most of our GUI code is in the Luxocator class's __init__ method, which is, therefore, a big method but not very complicated...

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