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OpenCV 4 for Secret Agents

OpenCV 4 for Secret Agents

By : Joseph Howse, Ponnusamy
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OpenCV 4 for Secret Agents

OpenCV 4 for Secret Agents

By: Joseph Howse, Ponnusamy

Overview of this book

OpenCV 4 is a collection of image processing functions and computer vision algorithms. It is open source, supports many programming languages and platforms, and is fast enough for many real-time applications. With this handy library, you’ll be able to build a variety of impressive gadgets. OpenCV 4 for Secret Agents features a broad selection of projects based on computer vision, machine learning, and several application frameworks. To enable you to build apps for diverse desktop systems and Raspberry Pi, the book supports multiple Python versions, from 2.7 to 3.7. For Android app development, the book also supports Java in Android Studio, and C# in the Unity game engine. Taking inspiration from the world of James Bond, this book will add a touch of adventure and computer vision to your daily routine. You’ll be able to protect your home and car with intelligent camera systems that analyze obstacles, people, and even cats. In addition to this, you’ll also learn how to train a search engine to praise or criticize the images that it finds, and build a mobile app that speaks to you and responds to your body language. By the end of this book, you will be equipped with the knowledge you need to advance your skills as an app developer and a computer vision specialist.
Table of Contents (16 chapters)
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1
Section 1: The Briefing
4
Section 2: The Chase
9
Section 3: The Big Reveal
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)

Summary

This was all a setup! I hear you gasp. Yes, but we did it for good reason. Now, we have a diverse set of development tools that will enable us to explore OpenCV in many contexts. Besides, it never hurts to learn some things about a lot of application frameworks and to have them all set up, in case someone asks us to do a project in a hurry.

Remember, James Bond has encyclopedic knowledge. In a highly symbolic conversation about rare and deadly fish, he goes toe-to-toe with Karl Stromberg, the diabolical oceanographer (The Spy Who Loved Me, 1977). Although we never see Bond studying the fish books, he must do it as bedtime reading after the camera cuts out.

The moral is, be prepared. Next, we will use OpenCV, along with several of the Python libraries and tools that we have installed, to build a GUI application that finds and classifies images on the web.

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