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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

Planning the cat-detection model

When I said soon, I meant in a day or two. Training a Haar cascade takes a lot of processing time. Training an LBP cascade is relatively quick. However, in either case, we need to download some big collections of images before we even start. Settle down with a reliable internet connection, a power outlet, at least 4 GB of free disk space, and the fastest CPU and biggest RAM you can find. Do not attempt this segment of the project on a Raspberry Pi. Keep the computer away from external heat sources or things that might block its fans. My processing time for Haar cascade training was 24 hours (or more for the whisker-friendly version that is sensitive to diagonal patterns), with 100% usage on four cores, on a MacBook Pro with a 2.6 GHz Intel Core i7 CPU and 16 GB RAM.

We use the following sets of images, which are freely available for research purposes...

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