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Index
OpenCV for Secret Agents
Table of Contents OpenCV for Secret Agents Credits About the Author Acknowledgments About the Reviewers www.PacktPub.com
Support files, eBooks, discount offers, and more
Why subscribe? Free access for Packt account holders
Preface
What this book covers What you need for this book Who this book is for Conventions Reader feedback Customer support
Downloading the example code Errata Piracy Questions
1. Preparing for the Mission
Setting up a development machine
Windows
OpenCV on Windows with binary installers OpenCV on Windows with CMake and compilers
Mac
Mac with MacPorts Mac with Homebrew
Debian Wheezy and its derivatives, including Raspbian, Ubuntu, and Linux Mint Fedora and its derivatives, including RHEL and CentOS openSUSE and its derivatives Tegra Android Development Pack
Building OpenCV Android sample projects with Eclipse
Unity
Setting up Raspberry Pi
Setting up the Raspberry Pi Camera Module
Finding OpenCV documentation, help, and updates Alternatives to Raspberry Pi Summary
2. Searching for Luxury Accommodations Worldwide
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 Building Luxocator for distribution Summary
3. Training a Smart Alarm to Recognize the Villain and His Cat
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
4. Controlling a Phone App with Your Suave Gestures
Planning the Goldgesture app Understanding optical flow Setting up the Eclipse Workspace 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
5. Equipping Your Car with a Rearview Camera and Hazard Detection
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
6. Seeing a Heartbeat with a Motion Amplifying Camera
Planning the Lazy Eyes app Understanding what Eulerian video magnification can do Extracting repeating signals from video using the Fast Fourier Transform (FFT)
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 Seeing things in another light Summary
7. Creating a Physics Simulation Based on a Pen and Paper Sketch
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
Tidying up and testing Summary
Index
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