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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)

Searching for Luxury Accommodations Worldwide

Today the bridal suite, tomorrow a prison. A secret agent's sleeping arrangements are horribly unpredictable.

Each day, someone in MI6 gets the job of booking a stellar hotel room and, conversely, some evil henchman has to pick a warehouse or dilapidated apartment, plus a lamp, a chair, and implements of bondage. For mini missions or brief beatings, it is tolerable to leave the choice of venue to a fallible human being. However, for long-term rentals or acquisitions, would it not be wiser to develop a specialized search engine that takes the legwork and the guesswork out of the equation?

With this motivation, we are going to develop a desktop app called Luxocator: The Luxury Locator. It is a search engine that finds images on the web by keyword search and classifies each image as a luxury, interior scene; luxury, exterior scene...

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