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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

What this book covers

Chapter 1, Preparing for the Mission, helps us to install OpenCV, a Python development environment, and an Android development environment on Windows, macOS, or Linux systems. In this chapter, we also install a Unity development environment on Windows or macOS.

Chapter 2, Searching for Luxury Accommodations Worldwide, helps us to classify images of real estate based on color schemes. Are we outside a luxury dwelling or inside a Stalinist apartment? In this chapter, we use the classifier in a search engine that labels its image results.

Chapter 3, Training a Smart Alarm to Recognize the Villain and His Cat, helps us to detect and recognize human faces and cat faces as a means of controlling an alarm. Has Ernst Stavro Blofeld returned, with his blue-eyed Angora cat?

Chapter 4, Controlling a Phone App with Your Suave Gestures, helps us to detect motion and recognize gestures as a means of controlling a guessing game on a smartphone. The phone knows why Bond is nodding, even if no one else does.

Chapter 5, Equipping Your Car with a Rearview Camera and Hazard Detection, helps us to detect car headlights, classify their color, estimate distances to them, and provide feedback to the driver. Is that car tailing us?

Chapter 6, Creating a Physics Simulation Based on a Pen and Paper Sketch, helps us to draw a ball-in-a-maze puzzle on paper, and see it come to life as a physics simulation on a smartphone. Physics and timing are everything!

Chapter 7, Seeing a Heartbeat with a Motion-Amplifying Camera, helps us to amplify motion in live video, in real time, so that a person's heartbeat and breathing become clearly visible. See the passion!

Chapter 8, Stopping Time and Seeing like a Bee, helps us improve the previous chapter's project by adopting specialized cameras for high-speed, infrared, or ultraviolet imaging. Surpass the limits of human vision!

Appendix A, Making WxUtils.py Compatible with Raspberry Pi, helps us solve a compatibility issue that affects the wxPython GUI library in some Raspberry Pi environments.

Appendix B, Learning More about Feature Detection in OpenCV, helps us discover more of OpenCV's feature-detection capabilities, beyond the ones we use in this book's projects.

Appendix C, Running with Snakes (or, First Steps with Python), helps us learn to run Python code and test an OpenCV installation in a Python environment.

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