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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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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

Training the classifier with reference images

"Can you identify this coastline? Given time, yes."
– Photo caption, Dante Stella (http://www.dantestella.com/technical/hex352.html)

A small selection of reference images is included in this book's GitHub repository in a folder called Chapter002/images. Feel free to experiment with the classifier by adding more reference images, since a larger set may yield more reliable results. Bear in mind that our classifier relies on average similarity, so the more times you include a given color scheme in the reference images, the more heavily you are weighting the classifier in favor of that color scheme.

At the end of HistogramClassifier.py, let's add a main method to train and serialize a classifier using our reference images. We will also run the classifier on a couple of the...

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