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Versioned fork of the OpenCV gem for Ruby
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ruby-opencv

An OpenCV wrapper for Ruby.

Requirement

Install

Linux/Mac

  1. Install OpenCV
  2. Install ruby-opencv
$ gem install ruby-opencv -- --with-opencv-dir=/path/to/opencvdir

Note: /path/to/opencvdir is the directory where you installed OpenCV.

Windows

You can use pre-build binary for Windows (mswin32).

  1. Install OpenCV
  2. Set path to OpenCV libraries. When you installed OpenCV to C:\opencv, add C:\opencv\build\x86\vc10\bin to the systems path.
  3. Install ruby-opencv
$ gem install ruby-opencv

Sample code

Load and Display an Image

A sample to load and display an image. An equivalent code of this tutorial.

require 'opencv'

if ARGV.size == 0
  puts "Usage: ruby #{__FILE__} ImageToLoadAndDisplay"
  exit
end

image = nil
begin
  image = Cv::imread(ARGV[0], Cv::CV_LOAD_IMAGE_COLOR) # Read the file.
rescue
  puts 'Could not open or find the image.'
  exit
end

window = Cv::Window.new('Display window') # Create a window for display.
window.show(image) # Show our image inside it.
Cv::wait_key # Wait for a keystroke in the window.

Face Detection

A sample to detect faces from an image.

require 'opencv'

if ARGV.length < 1
  puts "Usage: ruby #{__FILE__} image"
  exit
end

classifier = Cv::CascadeClassifier.new('examples/haarcascade_frontalface_alt.xml')
image = Cv::imread(ARGV[0], -1)

color = Cv::Scalar.new(0, 255, 255)
classifier.detect_multi_scale(image).each do |r|
  pt1 = Cv::Point.new(r.x, r.y)
  pt2 = Cv::Point.new(r.x + r.width, r.y + r.height)
  image.rectangle!(pt1, pt2, color, thickness: 3, line_type: Cv::CV_AA)
end

window = Cv::Window.new('Face detection')
window.show(image)
Cv::wait_key

For more samples, see examples/*.rb

LICENSE:

The MIT Liscense

see LICENSE.txt