mirror of
https://github.com/ruby-opencv/ruby-opencv
synced 2023-03-27 23:22:12 -04:00
166 lines
4.5 KiB
Ruby
Executable file
166 lines
4.5 KiB
Ruby
Executable file
#!/usr/bin/env ruby
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# -*- mode: ruby; coding: utf-8 -*-
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require 'test/unit'
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require 'digest/md5'
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require 'opencv'
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include OpenCV
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class OpenCVTestCase < Test::Unit::TestCase
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SAMPLE_DIR = File.expand_path(File.dirname(__FILE__)) + '/samples/'
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FILENAME_CAT = SAMPLE_DIR + 'cat.jpg'
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FILENAME_LENA256x256 = SAMPLE_DIR + 'lena-256x256.jpg'
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FILENAME_LENA32x32 = SAMPLE_DIR + 'lena-32x32.jpg'
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FILENAME_LENA_EYES = File.expand_path(File.dirname(__FILE__)) + '/samples/lena-eyes.jpg'
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FILENAME_FRUITS = SAMPLE_DIR + 'fruits.jpg'
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FILENAME_CONTOURS = File.expand_path(File.dirname(__FILE__)) + '/samples/contours.jpg'
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FILENAME_CHESSBOARD = SAMPLE_DIR + 'chessboard.jpg'
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HAARCASCADE_FRONTALFACE_ALT = SAMPLE_DIR + 'haarcascade_frontalface_alt.xml.gz'
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AVI_SAMPLE = SAMPLE_DIR + 'movie_sample.avi'
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DUMMY_OBJ = Digest::MD5.new # dummy object for argument type check test
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def snap(*images)
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n = -1
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images.map! { |val|
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n += 1
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if val.is_a? Hash
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val
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elsif val.is_a? Array
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{:title => val[0], :image => val[1] }
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else
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{:title => "snap-#{n}", :image => val }
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end
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}
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pos = CvPoint.new(0, 0)
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images.each { |img|
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w = GUI::Window.new(img[:title])
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w.show(img[:image])
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w.move(pos)
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pos.x += img[:image].width
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if pos.x > 800
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pos.y += img[:image].height
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pos.x = 0
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end
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}
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GUI::wait_key
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GUI::Window::destroy_all
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end
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def hash_img(img)
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# Compute a hash for an image, useful for image comparisons
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Digest::MD5.hexdigest(img.data)
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end
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unless Test::Unit::TestCase.instance_methods.map {|m| m.to_sym }.include? :assert_false
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def assert_false(actual, message = nil)
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assert_equal(false, actual, message)
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end
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end
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alias original_assert_in_delta assert_in_delta
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def assert_cvscalar_equal(expected, actual, message = nil)
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assert_equal(CvScalar, actual.class, message)
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assert_array_equal(expected.to_ary, actual.to_ary, message)
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end
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def assert_array_equal(expected, actual, message = nil)
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assert_equal(expected.size, actual.size, message)
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expected.zip(actual) { |e, a|
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assert_equal(e, a, message)
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}
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end
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def assert_in_delta(expected, actual, delta)
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if expected.is_a? CvScalar or actual.is_a? CvScalar
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expected = expected.to_ary if expected.is_a? CvScalar
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actual = actual.to_ary if actual.is_a? CvScalar
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assert_in_delta(expected, actual ,delta)
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elsif expected.is_a? Array and actual.is_a? Array
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assert_equal(expected.size, actual.size)
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expected.zip(actual) { |e, a|
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original_assert_in_delta(e, a, delta)
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}
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else
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original_assert_in_delta(expected, actual, delta)
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end
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end
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def create_cvmat(height, width, depth = :cv8u, channel = 4, &block)
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m = CvMat.new(height, width, depth, channel)
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block = lambda { |j, i, c| CvScalar.new(*([c + 1] * channel)) } unless block_given?
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count = 0
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height.times { |j|
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width.times { |i|
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m[j, i] = block.call(j, i, count)
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count += 1
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}
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}
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m
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end
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def create_iplimage(width, height, depth = :cv8u, channel = 4, &block)
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m = IplImage.new(width, height, depth, channel)
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block = lambda { |j, i, c| CvScalar.new(*([c + 1] * channel)) } unless block_given?
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count = 0
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height.times { |j|
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width.times { |i|
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m[j, i] = block.call(j, i, count)
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count += 1
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}
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}
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m
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end
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def assert_each_cvscalar(actual, delta = 0, &block)
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raise unless block_given?
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count = 0
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actual.height.times { |j|
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actual.width.times { |i|
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expected = block.call(j, i, count)
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if delta == 0
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expected = expected.to_ary if expected.is_a? CvScalar
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assert_array_equal(expected, actual[j, i].to_ary)
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else
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assert_in_delta(expected, actual[j, i], delta)
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end
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count += 1
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}
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}
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end
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def print_cvmat(mat)
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s = []
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mat.height.times { |j|
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a = []
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mat.width.times { |i|
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tmp = mat[j, i].to_ary.map {|m| m.to_f.round(2) }.join(',')
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a << "[#{tmp}]"
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}
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s << a.join(' ')
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}
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puts s.join("\n")
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end
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def count_threshold(mat, threshold, &block)
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n = 0
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block = lambda { |a, b| a > b } unless block_given?
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(mat.rows * mat.cols).times { |i|
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n += 1 if block.call(mat[i][0], threshold)
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}
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n
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end
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def color_hists(mat)
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hists = [0] * mat.channel
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(mat.rows * mat.cols).times { |i|
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hists.size.times { |c|
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hists[c] += mat[i][c]
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}
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}
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hists
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end
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end
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