mirror of
https://github.com/ruby-opencv/ruby-opencv
synced 2023-03-27 23:22:12 -04:00
148 lines
3.9 KiB
Ruby
Executable file
148 lines
3.9 KiB
Ruby
Executable file
#!/usr/bin/env ruby
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# -*- mode: ruby; coding: utf-8-unix -*-
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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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FILENAME_CAT = File.expand_path(File.dirname(__FILE__)) + '/samples/cat.jpg'
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CvMat.class_eval do
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# Range check for debug
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alias original_aref []
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alias original_aset []=;
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def [](*idx)
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if idx.size == 1
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n = idx[0]
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throw ArgumentError.new("index #{n} is out of range") if n >= rows * cols
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else
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j, i = *idx
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throw ArgumentError.new("index for row #{j} is out of range") if j >= rows
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throw ArgumentError.new("index for column #{i} is out of range") if i >= cols
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end
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original_aref(*idx)
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end
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def []=(*args)
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if args.size == 2
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n = args[0] # index
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throw ArgumentError.new("index #{n} is out of range") if n >= rows * cols
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else
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j, i = *args
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throw ArgumentError.new("index for row #{j} is out of range") if j >= rows
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throw ArgumentError.new("index for column #{i} is out of range") if i >= cols
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end
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original_aset(*args)
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end
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end
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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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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 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_i }.join(',')
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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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end
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