= opencv The initial Open Computer Vision library was originally developed by Intel Corporation. Recent development has been headed by Willow Garage, Inc. Current OpenCV Sourceforge Project http://opencv.willowgarage.com/wiki/ Earlier OpenCV Sourceforge Project http://sourceforge.net/projects/opencvlibrary/ Ruby/OpenCV Author's Web Page http://blueruby.mydns.jp/opencv == DESCRIPTION: OpenCV Ruby Wrapper == FEATURES/PROBLEMS: * First release rubygems, Some OpenCV functions wrapped. * Mouse interaction often causes segfaults on my Ubuntu 10.10 (Ruby 1.9.2). == DEPENDENCIES: This gem relies on the OpenCV project. There are a number of ways to install the library. Building the latest from source is preferred on OSX: http://opencv.willowgarage.com/wiki/Mac_OS_X_OpenCV_Port This also contains the data for the default cascades. == INSTALLATION: You can install by cloning this repository: git clone git://github.com/ser1zw/ruby-opencv.git Then inside the ruby-opencv folder run: ruby ext/extconf.rb make sudo make install == SYNOPSIS: Once installed it is possible to show images via GUI Window. require "opencv" image = OpenCV::IplImage.load("sample.jpg") window = OpenCV::GUI::Window.new("preview") window.show(image) OpenCV::GUI::wait_key For more samples, see examples/*.rb == FACE DETECTION: Here is a sample face detection program that doesn't rely on the GUI components. In order for this to work you must copy the OpenCV haarcascades data into a subfolder called data. #!/usr/bin/env ruby require "opencv" if ARGV.length < 2 puts "Usage: your_app_name source dest" exit end data = "./data/haarcascades/haarcascade_frontalface_alt.xml" detector = OpenCV::CvHaarClassifierCascade::load(data) image = OpenCV::IplImage.load(ARGV[0]) detector.detect_objects(image) do |region| color = OpenCV::CvColor::Blue image.rectangle! region.top_left, region.bottom_right, :color => color end image.save_image(ARGV[1]) == REQUIREMENTS: * OpenCV 2.2 http://opencv.willowgarage.com/wiki/ * ffcall (optional) http://www.haible.de/bruno/packages-ffcall.html == LICENSE: The BSD Liscense see LICENSE.txt