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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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Free Chapter
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)

Playing audio clips as questions and answers

The logic of the question-and-answer sequence is another component that has no computer vision functionality. We encapsulate it in a class called YesNoAudioTree, which is responsible for playing the next audio clip whenever the app's computer vision component notifies it of a yes or no answer.

Remember that the audio clips are part of the book's GitHub repository, and they belong in the project's app/src/main/res/raw folder. However, note that the audio clips in the repository are by no means an exhaustive set of questions and guesses about characters in the Bond franchise. Feel free to add your own clips and your own logic to play them.

Create a file, app/src/main/java/com/nummist/goldgesture/YesNoAudioTree.java. Our YesNoAudioTree class needs member variables to store a media player and a related context, an ID for...

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