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OpenCV 4 for Secret Agents
OpenCV 4 for Secret Agents

OpenCV 4 for Secret Agents: Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers , Second Edition

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Profile Icon Joseph Howse Profile Icon Ponnusamy
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Paperback Apr 2019 336 pages 2nd Edition
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Arrow left icon
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Paperback Apr 2019 336 pages 2nd Edition
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OpenCV 4 for Secret Agents

Preparing for the Mission

"Q: I've been saying for years, sir, that our special equipment is obsolete. And now, computer analysis reveals an entirely new approach: miniaturization."
– On Her Majesty's Secret Service (1969)

James Bond is not a pedestrian. He cruises in a submarine car; he straps on a rocket belt; and, oh, how he skis, how he skis! He always has the latest stuff, and he is never afraid to put a dent in it, much to the dismay of Q, the engineer.

As software developers in the 2010s, we have witnessed an explosion of the adoption of new platforms. Under one family's roof, we might find a mix of Windows, Mac, iOS, and Android devices. Mom and Dad's workplaces provide different platforms. The kids have three game consoles, or five, if you count the...

Technical requirements

This is the setup chapter. There are no particular software prerequisites at the outset; we will set up everything as we go along.

Basic instructions for running Python code are covered in Appendix C, Running with Snakes (or, First Steps with Python). After we set up a Python environment with OpenCV, you may want to refer to this appendix so that you know how to minimally test the environment.

Setting up a development machine

We can develop our OpenCV applications on a desktop, a notebook, or even the humble Raspberry Pi (covered later, in the Setting up a Raspberry Pi section). Most of our apps have a memory footprint of less than 128 MB, so they can still run (albeit slowly) on old or low-powered machines. To save time, develop on your fastest machine first and test on slower machines later.

This book assumes that you have one of the following operating systems on your development machine:

  • Windows 7 SP 1, or a later version.
  • Mac OS 10.7 (Lion), or a later version.
  • Debian Jessie, a later version, or a derivative such as the following:
    • Raspbian 2015-09-25, or a later version
    • Ubuntu 14.04, or a later version
    • Linux Mint 17, or a later version
  • Fedora 28, a later version, or a derivative such as the following:
    • RHEL 8, or a later version
    • CentOS 8, or a later version...

Setting up Android Studio and OpenCV

Android Studio is Google's official integrated development environment (IDE) for Android app development. Since its first stable release in 2014, Android Studio has grown in popularity and has replaced Eclipse as the IDE of choice for Android developers. Although some of the OpenCV documentation still contains outdated tutorials on Android development in Eclipse, nowadays, the OpenCV Android library and Android sample projects are primarily intended for use with Android Studio, instead.

Google provides a good cross-platform tutorial on Android Studio installation at https://developer.android.com/studio/install. Follow the part of the tutorial that is relevant to your operating system.

Download the latest version of the OpenCV Android pack from https://opencv.org/releases.html. Unzip it to any destination, which we will refer to as &lt...

Setting up Unity and OpenCV

Unity (https://unity3d.com) is a three-dimensional game engine that supports development on 64-bit Windows or Mac, and deployment to many platforms, including Windows, Mac, Linux, iOS, Android, WebGL, and several game consoles. For one of our projects, we will use Unity along with a plugin called OpenCV for Unity, which is developed by Enox Software (http://enoxsoftware.com/.) The main programming language for Unity projects is C#, and OpenCV for Unity provides a C# API that is modeled on the OpenCV Java API for Android.

Unity has three license plans, Personal, Plus, and Pro, which all support the plugin that we want to use. The different editions are for different sizes of companies, as described in the licensing information at https://store.unity.com. The Personal license is free. The Plus and Pro licenses have subscription costs. If you are not...

Setting up a Raspberry Pi

Raspberry Pi is a single-board computer (SBC) with a low cost and low power consumption. It can be used as a desktop, a server, or an embedded system that controls other electronics. The Pi comes in several models. Currently, the flagship is Model 3 B+, which costs about $35. Compared to other models, it offers a faster CPU, more memory, and a faster Ethernet port, so it is a good candidate for computer vision experiments that rely on either local computing resources or the cloud. However, other models are also usable for computer vision projects.

Several operating systems are available for Raspberry Pi. We will use Raspbian, which is a port of Debian Stretch (a major Linux distribution) to ARM.

Download the latest Raspbian disk image from http://downloads.raspberrypi.org/raspbian_latest. You do not need to unzip the downloaded file. At the time of writing...

Finding OpenCV documentation, help, and updates

OpenCV's documentation is online, at https://docs.opencv.org/master/. The documentation includes a combined API reference for the latest OpenCV C++ API and its latest Python API (which is based on the C++ API). The latest Java API documentation is online, at http://docs.opencv.org/master/javadoc/.

If the documentation seems to leave your questions unanswered, try reaching out to the OpenCV community instead. The following sites are good venues for questions, answers, and shared experience:

Finally, if you are an advanced user who wants to try new features, bug-fixes...

Alternatives to Raspberry Pi

Besides Raspberry Pi, many other low-cost SBCs are suitable for running a desktop Linux distribution and OpenCV applications. The Raspberry Pi 3 models offer a quad-core ARMv8 processor and 1 GB RAM. However, some of the competing SBCs offer octa-core ARM processors and 2 GB RAM and can run more complex computer vision algorithms in real time. Moreover, unlike any current model of Pi, some of the competitors offer a USB 3 interface, which supports a wide range of high-resolution or high-speed cameras. These advantages tend to come with a higher price tag and higher power consumption. Here are some examples:

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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Key benefits

  • Build OpenCV 4 apps with Python 2 and 3 on desktops and Raspberry Pi, Java on Android, and C# in Unity
  • Detect, classify, recognize, and measure real-world objects in real-time
  • Work with images from diverse sources, including the web, research datasets, and various cameras

Description

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.

Who is this book for?

If you are an experienced software developer who is new to computer vision or machine learning, and wants to study these topics through creative projects, then this book is for you. The book will also help existing OpenCV users who want upgrade their projects to OpenCV 4 and new versions of other libraries, languages, tools, and operating systems. General familiarity with object-oriented programming, application development, and usage of operating systems (OS), developer tools, and the command line is required.

What you will learn

  • Detect motion and recognize gestures to control a smartphone game
  • Detect car headlights and estimate their distance
  • Detect and recognize human and cat faces to trigger an alarm
  • Amplify motion in a real-time video to show heartbeats and breaths
  • Make a physics simulation that detects shapes in a real-world drawing
  • Build OpenCV 4 projects in Python 3 for desktops and Raspberry Pi
  • Develop OpenCV 4 Android applications in Android Studio and Unity
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Table of Contents

15 Chapters
Section 1: The Briefing Chevron down icon Chevron up icon
Preparing for the Mission Chevron down icon Chevron up icon
Searching for Luxury Accommodations Worldwide Chevron down icon Chevron up icon
Section 2: The Chase Chevron down icon Chevron up icon
Training a Smart Alarm to Recognize the Villain and His Cat Chevron down icon Chevron up icon
Controlling a Phone App with Your Suave Gestures Chevron down icon Chevron up icon
Equipping Your Car with a Rearview Camera and Hazard Detection Chevron down icon Chevron up icon
Creating a Physics Simulation Based on a Pen and Paper Sketch Chevron down icon Chevron up icon
Section 3: The Big Reveal Chevron down icon Chevron up icon
Seeing a Heartbeat with a Motion-Amplifying Camera Chevron down icon Chevron up icon
Stopping Time and Seeing like a Bee Chevron down icon Chevron up icon
Making WxUtils.py Compatible with Raspberry Pi Chevron down icon Chevron up icon
Learning More about Feature Detection in OpenCV Chevron down icon Chevron up icon
Running with Snakes (or, First Steps with Python) Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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