OpenCV 4 for Secret Agents电子书

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Preface

Who this book is for

What this book covers

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Download the example code files

Download the color images

Conventions used

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Section 1: The Briefing

Preparing for the Mission

Technical requirements

Setting up a development machine

Setting up Python and OpenCV on Windows

Building OpenCV on Windows with CMake and Visual Studio

Setting up Python and OpenCV on Mac

Mac with MacPorts

Mac with Homebrew

Setting up Python and OpenCV on Debian Jessie and its derivatives, including Raspbian, Ubuntu, and Linux Mint

Building OpenCV on Debian Jessie and its derivatives with CMake and GCC

Setting up Python and OpenCV on Fedora and its derivatives, including RHEL and CentOS

Setting up Python and OpenCV on openSUSE and its derivatives

Setting up Android Studio and OpenCV

Setting up Unity and OpenCV

Setting up a Raspberry Pi

Setting up the Raspberry Pi camera module

Finding OpenCV documentation, help, and updates

Alternatives to Raspberry Pi

Summary

Searching for Luxury Accommodations Worldwide

Technical requirements

Planning the Luxocator app

Creating, comparing, and storing histograms

Training the classifier with reference images

Acquiring images from the web

Acquiring images from Bing Image Search

Preparing images and resources for the app

Integrating everything into the GUI

Running Luxocator and troubleshooting SSL problems

Building Luxocator for distribution

Summary

Section 2: The Chase

Training a Smart Alarm to Recognize the Villain and His Cat

Technical requirements

Understanding machine learning in general

Planning the Interactive Recognizer app

Understanding Haar cascades and LBPH

Implementing the Interactive Recognizer app

Planning the cat-detection model

Implementing the training script for the cat-detection model

Planning the Angora Blue app

Implementing the Angora Blue app

Building Angora Blue for distribution

Further fun with finding felines

Summary

Controlling a Phone App with Your Suave Gestures

Technical requirements

Planning the Goldgesture app

Understanding optical flow

Setting up the project in Android Studio

Getting a cascade file and audio files

Specifying the app's requirements

Laying out a camera preview as the main view

Tracking back-and-forth gestures

Playing audio clips as questions and answers

Capturing images and tracking faces in an activity

Summary

Equipping Your Car with a Rearview Camera and Hazard Detection

Technical requirements

Planning The Living Headlights app

Detecting lights as blobs

Estimating distances (a cheap approach)

Implementing The Living Headlights app

Testing The Living Headlights app at home

Testing The Living Headlights app in a car

Summary

Creating a Physics Simulation Based on a Pen and Paper Sketch

Technical requirements

Planning the Rollingball app

Detecting circles and lines

Setting up OpenCV for Unity

Configuring and building the Unity project

Creating the Rollingball scene in Unity

Creating Unity assets and adding them to the scene

Writing shaders and creating materials

Creating physics materials

Creating prefabs

Writing our first Unity script

Writing the main Rollingball script

Creating the launcher scene in Unity

Tidying up and testing

Summary

Section 3: The Big Reveal

Seeing a Heartbeat with a Motion-Amplifying Camera

Technical requirements

Planning the Lazy Eyes app

Understanding what Eulerian video magnification can do

Extracting repeating signals from video using the fast Fourier transform

Choosing and setting up an FFT library

Compositing two images using image pyramids

Implementing the Lazy Eyes app

Configuring and testing the app for various motions

Summary

Seeing things in different light

Stopping Time and Seeing like a Bee

Technical requirements

Planning the Sunbaker app

Understanding the spectrum

Finding specialized cameras

XNiteUSB2S-MUV

Sony PlayStation Eye

Point Grey Grasshopper 3 GS3-U3-23S6M-C

Installing Spinnaker SDK and PySpin

Capturing images from industrial cameras using PySpin

Adapting the Lazy Eyes app to make Sunbaker

Summary

Making WxUtils.py Compatible with Raspberry Pi

Learning More about Feature Detection in OpenCV

Running with Snakes (or, First Steps with Python)

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