OpenCV Computer Vision with Python -- Table of Contents -- OpenCV Computer Vision with Python -- Credits -- About the Author -- 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. Setting up OpenCV -- Choosing and using the right setup tools -- Making the choice on Windows XP, Windows Vista, Windows 7, or Windows 8 -- Using binary installers (no support for depth cameras) -- Using CMake and compilers -- Making the choice on Mac OS X Snow Leopard, Mac OS X Lion, or Mac OS X Mountain Lion -- Using MacPorts with ready-made packages -- Using MacPorts with your own custom packages -- Using Homebrew with ready-made packages (no support for depth cameras) -- Using Homebrew with your own custom packages -- Making the choice on Ubuntu 12.04 LTS or Ubuntu 12.10 -- Using the Ubuntu repository (no support for depth cameras) -- Using CMake via a ready-made script that you may customize -- Making the choice on other Unix-like systems -- Running samples -- Finding documentation, help, and updates -- Summary -- 2. Handling Files, Cameras, and GUIs -- Basic I/O scripts -- Reading/Writing an image file -- Converting between an image and raw bytes -- Reading/Writing a video file -- Capturing camera frames -- Displaying camera frames in a window -- Project concept -- An object-oriented design -- Abstracting a video stream - managers.CaptureManager -- Abstracting a window and keyboard - managers.WindowManager -- Applying everything - cameo.Cameo -- Summary -- 3. Filtering Images -- Creating modules -- Channel mixing - seeing in Technicolor.

Simulating RC color space -- Simulating RGV color space -- Simulating CMV color space -- Curves - bending color space -- Formulating a curve -- Caching and applying a curve -- Designing object-oriented curve filters -- Emulating photo films -- Emulating Kodak Portra -- Emulating Fuji Provia -- Emulating Fuji Velvia -- Emulating cross-processing -- Highlighting edges -- Custom kernels - getting convoluted -- Modifying the application -- Summary -- 4. Tracking Faces with Haar Cascades -- Conceptualizing Haar cascades -- Getting Haar cascade data -- Creating modules -- Defining a face as a hierarchy of rectangles -- Tracing, cutting, and pasting rectangles -- Adding more utility functions -- Tracking faces -- Modifying the application -- Swapping faces in one camera feed -- Copying faces between camera feeds -- Summary -- 5. Detecting Foreground/Background Regions and Depth -- Creating modules -- Capturing frames from a depth camera -- Creating a mask from a disparity map -- Masking a copy operation -- Modifying the application -- Summary -- A. Integrating with Pygame -- Installing Pygame -- Documentation and tutorials -- Subclassing managers.WindowManager -- Modifying the application -- Further uses of Pygame -- Summary -- B. Generating Haar Cascades for Custom Targets -- Gathering positive and negative training images -- Finding the training executables -- On Windows -- On Mac, Ubuntu, and other Unix-like systems -- Creating the training sets and cascade -- Creating -- Creating -- Creating by running -- Creating by running -- Testing and improving -- Summary -- Index.