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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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Training a Smart Alarm to Recognize the Villain and His Cat

"The naming of cats is a difficult matter."
– T. S. Eliot, Old Possum's Book of Practical Cats (1939)

"Blofeld: I've taught you to love chickens, to love their flesh, their voice."
– On Her Majesty's Secret Service (1969)

Imagine that the date is January 1, 2015. The balance of world power is shifting again. Lithuania is joining the eurozone. Russia, Belarus, Armenia, Kazakhstan, and Kyrgyzstan are forming the Eurasian Economic Union. The first edition of OpenCV for Secret Agents is going to the printers. On this day, if you saw Ernst Stavro Blofeld, would you recognize him?

Let me remind you that Blofeld, as the number one man in the Special Executive for Counterintelligence...

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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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