
Security News
Risky Biz Podcast: Making Reachability Analysis Work in Real-World Codebases
This episode explores the hard problem of reachability analysis, from static analysis limits to handling dynamic languages and massive dependency trees.
An OpenCV wrapper for Ruby.
$ gem install ruby-opencv -- --with-opencv-dir=/path/to/opencvdir
Note: /path/to/opencvdir is the directory where you installed OpenCV.
You can use pre-build binary for Windows (mswin32).
$ gem install ruby-opencv
A sample to load and display an image. An equivalent code of this tutorial.
require 'opencv'
include OpenCV
if ARGV.size == 0
puts "Usage: ruby #{__FILE__} ImageToLoadAndDisplay"
exit
end
image = nil
begin
image = CvMat.load(ARGV[0], CV_LOAD_IMAGE_COLOR) # Read the file.
rescue
puts 'Could not open or find the image.'
exit
end
window = GUI::Window.new('Display window') # Create a window for display.
window.show(image) # Show our image inside it.
GUI::wait_key # Wait for a keystroke in the window.
A sample to detect faces from an image.
require 'opencv'
include OpenCV
if ARGV.length < 2
puts "Usage: ruby #{__FILE__} source dest"
exit
end
data = './data/haarcascades/haarcascade_frontalface_alt.xml'
detector = CvHaarClassifierCascade::load(data)
image = CvMat.load(ARGV[0])
detector.detect_objects(image).each do |region|
color = CvColor::Blue
image.rectangle! region.top_left, region.bottom_right, :color => color
end
image.save_image(ARGV[1])
window = GUI::Window.new('Face detection')
window.show(image)
GUI::wait_key
For more samples, see examples/*.rb
The BSD Liscense
see LICENSE.txt
FAQs
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We found that bonanza-ruby-opencv demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 3 open source maintainers collaborating on the project.
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