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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

Product type Paperback

Published in Apr 2019

Publisher Packt

ISBN-13 9781789345360

Length 336 pages

Edition 2nd Edition

Languages

Java

Tools

OpenCV

Concepts

Computer Vision

Authors (2):

Joseph Howse

Arun Ponnusamy

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Table of Contents (16) Chapters

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

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Testing The Living Headlights app in a car

When choosing the hardware for a car-based setup, it's important to consider the following questions:

Can the car's outlets power the hardware?
Can the hardware fit conveniently in the car?

A Raspberry Pi draws power from a 5V supply through its micro USB port. We can satisfy this power requirement by plugging a USB adapter into the car's cigarette lighter and then connecting it to the Pi through a USB to micro USB cable. Make sure that your adapter's voltage is exactly 5V and that its amperage is equal to or greater than the recommended amperage for your Pi model. For example, the official documentation at https://www.raspberrypi.org/documentation/faqs/ recommends a 5V, 2.5A power supply for Raspberry Pi 3 Model B. The following image shows a setup using a first-generation Raspberry Pi Model A:

Normally, the cigarette...

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Authors (2)

Ponnusamy

Arun Ponnusamy works as a computer vision research engineer at an AI start-up in India. He is a lifelong learner, passionate about image processing, computer vision, and machine learning. He is an engineering graduate from PSG College of Technology, Coimbatore. He started his career at MulticoreWare Inc., where he spent most of his time on image processing, OpenCV, software optimization, and GPU computing. Arun loves to build his understanding of computer vision concepts clearly, allowing him to explain it in an intuitive way on his blog and in meetups. He has created an open source Python library for computer vision, named cvlib, which is aimed at simplicity and user friendliness. He is currently working on object detection, action recognition, and generative networks.

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Joseph Howse

Joseph Howse lives in a Canadian fishing village, where he chats with his cats, crafts his books, and nurtures an orchard of hardy fruit trees. He is President of Nummist Media Corporation, which exists to support his books and to provide mentoring and consulting services, with a specialty in computer vision. On average, in 2015-2022, Joseph has written 1.4 new books or new editions per year for Packt. He also writes fiction, including an upcoming novel about the lives of a group of young people in the last days of the Soviet Union.

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