Last active
December 30, 2015 21:09
-
-
Save bhelx/7885500 to your computer and use it in GitHub Desktop.
recursively walk directory and extract faces
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
require "opencv" | |
require "fileutils" | |
include OpenCV | |
detector = CvHaarClassifierCascade::load("./haarcascade_frontalface_alt.xml") | |
input_dir = ARGV[0] | |
output_dir = ARGV[1] || 'output' | |
FileUtils.mkdir_p(output_dir) | |
Dir.glob(File.join(input_dir, "**/*")).each_with_index do |image_file, index| | |
next unless /\.jpg|\.jpeg|\.png|\.pgm/.match File.extname(image_file) | |
image = IplImage.load(image_file, CV_LOAD_IMAGE_GRAYSCALE) | |
detector.detect_objects(image).each do |rect| | |
output_image = image.sub_rect(rect) | |
path = File.join(output_dir, "#{index}_#{File.basename(image_file)}") | |
output_image.save_image(path) | |
puts "Saved face to: #{path}" | |
image.reset_roi | |
end | |
end |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment