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ruby-opencv/test/helper.rb

130 lines
3.5 KiB
Ruby
Executable file

#!/usr/bin/env ruby
# -*- mode: ruby; coding: utf-8-unix -*-
require 'test/unit'
require 'digest/md5'
require 'opencv'
include OpenCV
class OpenCVTestCase < Test::Unit::TestCase
CvMat.class_eval do
# Range check for debug
alias original_aref []
alias original_aset []=;
def [](*idx)
if idx.size == 1
n = idx[0]
throw ArgumentError.new("index #{n} is out of range") if n >= rows * cols
else
j, i = *idx
throw ArgumentError.new("index for row #{j} is out of range") if j >= rows
throw ArgumentError.new("index for column #{i} is out of range") if i >= cols
end
original_aref(*idx)
end
def []=(*args)
if args.size == 2
n = args[0] # index
throw ArgumentError.new("index #{n} is out of range") if n >= rows * cols
else
j, i = *args
throw ArgumentError.new("index for row #{j} is out of range") if j >= rows
throw ArgumentError.new("index for column #{i} is out of range") if i >= cols
end
original_aset(*args)
end
end
def get_sample(filename, iscolor = nil)
IplImage::load('samples/' + filename, iscolor)
end
def snap(*images)
win = []
images.size.times { |i| win << GUI::Window.new("snap-#{i}") }
win.each_with_index { |w, i| w.show images[i] }
GUI::wait_key
GUI::Window::destroy_all
end
def hash_img(img)
# Compute a hash for an image, useful for image comparisons
Digest::MD5.hexdigest(img.data)
end
alias original_assert_in_delta assert_in_delta
def assert_cvscalar_equal(expected, actual, message = nil)
assert_equal(CvScalar, actual.class, message)
assert_array_equal(expected.to_ary, actual.to_ary, message)
end
def assert_array_equal(expected, actual, message = nil)
assert_equal(expected.size, actual.size, message)
expected.zip(actual) { |e, a|
assert_equal(e, a, message)
}
end
def assert_in_delta(expected, actual, delta)
if expected.is_a? CvScalar or actual.is_a? CvScalar
expected = expected.to_ary if expected.is_a? CvScalar
actual = actual.to_ary if actual.is_a? CvScalar
assert_in_delta(expected, actual ,delta)
elsif expected.is_a? Array and actual.is_a? Array
assert_equal(expected.size, actual.size)
expected.zip(actual) { |e, a|
original_assert_in_delta(e, a, delta)
}
else
original_assert_in_delta(expected, actual, delta)
end
end
def create_cvmat(height, width, depth = :cv8u, channel = 4, &block)
m = CvMat.new(height, width, depth, channel)
block = lambda { |j, i, c| CvScalar.new(*([c + 1] * channel)) } unless block_given?
count = 0
height.times { |j|
width.times { |i|
m[j, i] = block.call(j, i, count)
count += 1
}
}
m
end
def assert_each_cvscalar(actual, delta = 0, &block)
raise unless block_given?
count = 0
actual.height.times { |j|
actual.width.times { |i|
expected = block.call(j, i, count)
if delta == 0
expected = expected.to_ary if expected.is_a? CvScalar
assert_array_equal(expected, actual[j, i].to_ary)
else
assert_in_delta(expected, actual[j, i], delta)
end
count += 1
}
}
end
def print_cvmat(mat)
s = []
mat.height.times { |j|
a = []
mat.width.times { |i|
# tmp = mat[j, i].to_ary.map {|m| m.to_i }.join(',')
tmp = mat[j, i].to_ary.map {|m| m.to_f.round(2) }.join(',')
a << "[#{tmp}]"
}
s << a.join(' ')
}
puts s.join("\n")
end
end