mirror of
https://github.com/ruby-opencv/ruby-opencv
synced 2023-03-27 23:22:12 -04:00
1941 lines
50 KiB
Ruby
Executable file
1941 lines
50 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 'opencv'
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require File.expand_path(File.dirname(__FILE__)) + '/helper'
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include OpenCV
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# Tests for OpenCV::CvMat
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class TestCvMat < OpenCVTestCase
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def test_initialize
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m = CvMat.new(10, 20)
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assert_equal(10, m.rows)
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assert_equal(20, m.cols)
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assert_equal(:cv8u, m.depth)
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assert_equal(3, m.channel)
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depth_table = {
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CV_8U => :cv8u,
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CV_8S => :cv8s,
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CV_16U => :cv16u,
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CV_16S => :cv16s,
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CV_32S => :cv32s,
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CV_32F => :cv32f,
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CV_64F => :cv64f
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}
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[CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F,
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:cv8u, :cv8s, :cv16u, :cv16s, :cv32s, :cv32f, :cv64f].each { |depth|
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[1, 2, 3, 4].each { |ch|
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m = CvMat.new(10, 20, depth, ch)
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assert_equal(10, m.rows)
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assert_equal(20, m.cols)
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depth = depth_table[depth] unless depth.is_a? Symbol
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assert_equal(depth, m.depth)
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assert_equal(ch, m.channel)
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}
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}
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end
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def test_load
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mat = CvMat.load(FILENAME_CAT)
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assert_equal(CvMat, mat.class)
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assert_equal(375, mat.cols)
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assert_equal(500, mat.rows)
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assert_equal(:cv8u, mat.depth)
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assert_equal(3, mat.channel)
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assert_equal('ebc0b85d3ac44ea60181c997f35d13df', hash_img(mat))
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mat = CvMat.load(FILENAME_CAT, CV_LOAD_IMAGE_GRAYSCALE)
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assert_equal(CvMat, mat.class)
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assert_equal(375, mat.cols)
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assert_equal(500, mat.rows)
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assert_equal(:cv8u, mat.depth)
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assert_equal(1, mat.channel)
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assert_equal('f0ae1d7f2d6b3a64d093e3181361f3a4', hash_img(mat))
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mat = CvMat.load(FILENAME_CAT, CV_LOAD_IMAGE_ANYDEPTH | CV_LOAD_IMAGE_ANYCOLOR)
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assert_equal(CvMat, mat.class)
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assert_equal(375, mat.cols)
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assert_equal(500, mat.rows)
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assert_equal(:cv8u, mat.depth)
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assert_equal(3, mat.channel)
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assert_equal('ebc0b85d3ac44ea60181c997f35d13df', hash_img(mat))
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assert_raise(ArgumentError) {
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CvMat.load
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}
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assert_raise(TypeError) {
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CvMat.load(123)
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}
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assert_raise(TypeError) {
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CvMat.load(FILENAME_CAT, 'foobar')
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}
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assert_raise(StandardError) {
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CvMat.load('file/does/not/exist')
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}
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end
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def test_GOOD_FEATURES_TO_TRACK_OPTION
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assert_equal(0xff, CvMat::GOOD_FEATURES_TO_TRACK_OPTION[:max])
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assert_nil(CvMat::GOOD_FEATURES_TO_TRACK_OPTION[:mask])
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assert_equal(3, CvMat::GOOD_FEATURES_TO_TRACK_OPTION[:block_size])
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assert((not CvMat::GOOD_FEATURES_TO_TRACK_OPTION[:use_harris]))
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assert_in_delta(0.04, CvMat::GOOD_FEATURES_TO_TRACK_OPTION[:k], 0.01)
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end
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def test_FIND_CONTOURS_OPTION
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assert_equal(1, CvMat::FIND_CONTOURS_OPTION[:mode])
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assert_equal(2, CvMat::FIND_CONTOURS_OPTION[:method])
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assert_equal(0, CvMat::FIND_CONTOURS_OPTION[:offset].x)
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assert_equal(0, CvMat::FIND_CONTOURS_OPTION[:offset].y)
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end
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def test_OPTICAL_FLOW_HS_OPTION
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assert_in_delta(0.0005, CvMat::OPTICAL_FLOW_HS_OPTION[:lambda], 0.000001)
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assert_equal(1, CvMat::OPTICAL_FLOW_HS_OPTION[:criteria].max)
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assert_in_delta(0.001, CvMat::OPTICAL_FLOW_HS_OPTION[:criteria].eps, 0.00001)
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end
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def test_OPTICAL_FLOW_BM_OPTION
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assert_equal(4, CvMat::OPTICAL_FLOW_BM_OPTION[:block_size].width)
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assert_equal(4, CvMat::OPTICAL_FLOW_BM_OPTION[:block_size].height)
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assert_equal(1, CvMat::OPTICAL_FLOW_BM_OPTION[:shift_size].width)
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assert_equal(1, CvMat::OPTICAL_FLOW_BM_OPTION[:shift_size].height)
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assert_equal(4, CvMat::OPTICAL_FLOW_BM_OPTION[:max_range].width)
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assert_equal(4, CvMat::OPTICAL_FLOW_BM_OPTION[:max_range].height)
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end
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def test_FIND_FUNDAMENTAL_MAT_OPTION
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assert((not CvMat::FIND_FUNDAMENTAL_MAT_OPTION[:with_status]))
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assert_in_delta(1.0, CvMat::FIND_FUNDAMENTAL_MAT_OPTION[:maximum_distance], 0.01)
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assert_in_delta(0.99, CvMat::FIND_FUNDAMENTAL_MAT_OPTION[:desirable_level], 0.01)
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end
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def test_to_s
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m = CvMat.new(10, 20)
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assert_equal('<OpenCV::CvMat:20x10,depth=cv8u,channel=3>', m.to_s)
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m = CvMat.new(10, 20, :cv16s)
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assert_equal('<OpenCV::CvMat:20x10,depth=cv16s,channel=3>', m.to_s)
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m = CvMat.new(10, 20, :cv32f, 1)
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assert_equal('<OpenCV::CvMat:20x10,depth=cv32f,channel=1>', m.to_s)
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end
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def test_parent
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m1 = CvMat.new(10, 20)
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assert((not m1.has_parent?))
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assert_nil(m1.parent)
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flunk('FIXME: resolve unexpected ABORT of CvMat#to_CvMat')
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m2 = m1.to_CvMat
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assert(m2.has_parent?)
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assert_same(m1, m2.parent)
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end
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def test_inside
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m = CvMat.new(20, 10)
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assert(m.inside? CvPoint.new(0, 0))
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assert(m.inside? CvPoint.new(9, 19))
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assert((not m.inside? CvPoint.new(10, 0)))
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assert((not m.inside? CvPoint.new(0, 20)))
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assert((not m.inside? CvPoint.new(10, 20)))
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end
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def test_to_IplConvKernel
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kernel = CvMat.new(10, 20).to_IplConvKernel(CvPoint.new(2, 3))
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assert_equal(10, kernel.rows)
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assert_equal(20, kernel.cols)
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assert_equal(2, kernel.anchor.x)
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assert_equal(3, kernel.anchor.y)
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assert_equal(2, kernel.anchor_x)
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assert_equal(3, kernel.anchor_y)
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end
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def test_create_mask
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mask = CvMat.new(10, 20).create_mask
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assert_equal(20, mask.width)
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assert_equal(10, mask.height)
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assert_equal(:cv8u, mask.depth)
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assert_equal(1, mask.channel)
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end
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def test_fields
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m = CvMat.new(20, 10)
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assert_equal(10, m.width)
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assert_equal(10, m.columns)
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assert_equal(10, m.cols)
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assert_equal(20, m.height)
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assert_equal(20, m.rows)
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assert_equal(:cv8u, m.depth)
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assert_equal(3, m.channel)
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m = CvMat.new(20, 10, :cv16s, 1)
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assert_equal(10, m.width)
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assert_equal(10, m.columns)
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assert_equal(10, m.cols)
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assert_equal(20, m.height)
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assert_equal(20, m.rows)
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assert_equal(:cv16s, m.depth)
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assert_equal(1, m.channel)
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end
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def test_clone
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m1 = create_cvmat(10, 20)
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m2 = m1.clone
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assert_equal(m1.data, m2.data)
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end
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def test_copy
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m1 = create_cvmat(10, 20, CV_32F, 1)
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m2 = m1.copy
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assert_equal(m1.data, m2.data)
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m2 = CvMat.new(10, 20, CV_32F, 1)
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m1.copy(m2)
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assert_equal(m1.data, m2.data)
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a = m1.copy(2)
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assert_equal(2, a.size)
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a.each { |m|
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assert_equal(m1.height, m.height)
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assert_equal(m1.width, m.width)
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m1.height.times { |j|
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m1.width.times { |i|
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assert_cvscalar_equal(m1[j, i], m[j, i])
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}
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}
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}
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assert_nil(m1.copy(-1))
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flunk('FIXME: CvUnmatchedSizes and CvUnmatchedFormats are not implemented yet')
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m2 = CvMat.new(1, 2, CV_32F, 1)
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assert_raise(CvUnmatchedSizes) {
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m1.copy(m2)
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}
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m2 = CvMat.new(10, 20, CV_32F, 3)
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assert_raise(CvUnmatchedFormats) {
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m1.copy(m2)
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}
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m2 = CvMat.new(10, 20, CV_8U, 1)
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assert_raise(CvUnmatchedFormats) {
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m1.copy(m2)
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}
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end
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def test_convert_depth
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m = CvMat.new(10, 20, :cv32f)
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assert_equal(:cv8u, m.to_8u.depth)
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assert_equal(:cv8s, m.to_8s.depth)
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assert_equal(:cv16u, m.to_16u.depth)
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assert_equal(:cv16s, m.to_16s.depth)
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assert_equal(:cv32s, m.to_32s.depth)
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assert_equal(:cv32f, m.to_32f.depth)
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assert_equal(:cv64f, m.to_64f.depth)
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end
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def test_vector
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m = CvMat.new(1, 2)
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assert(m.vector?)
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m = CvMat.new(2, 2)
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assert((not m.vector?))
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end
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def test_square
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m = CvMat.new(2, 2)
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assert(m.square?)
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m = CvMat.new(1, 2)
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assert((not m.square?))
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end
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def test_to_CvMat
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m1 = CvMat.new(2, 2)
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flunk('FIXME: resolve unexpected ABORT of CvMat#to_CvMat')
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m2 = m1.to_CvMat
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assert_same(m1, m2.parent)
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end
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def test_sub_rect
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m1 = create_cvmat(10, 10)
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assert_raise(ArgumentError) {
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m1.sub_rect
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}
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m2 = m1.sub_rect(CvRect.new(0, 0, 2, 3))
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assert_equal(2, m2.width)
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assert_equal(3, m2.height)
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m2.height.times { |j|
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m2.width.times { |i|
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assert_cvscalar_equal(m1[j, i], m2[j, i])
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}
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}
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topleft = CvPoint.new(2, 3)
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m2 = m1.sub_rect(topleft, CvSize.new(4, 5))
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assert_equal(4, m2.width)
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assert_equal(5, m2.height)
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m2.height.times { |j|
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m2.width.times { |i|
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assert_cvscalar_equal(m1[topleft.y + j, topleft.x + i], m2[j, i])
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}
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}
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topleft = CvPoint.new(1, 2)
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m2 = m1.sub_rect(topleft.x, topleft.y, 3, 4)
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assert_equal(3, m2.width)
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assert_equal(4, m2.height)
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m2.height.times { |j|
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m2.width.times { |i|
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assert_cvscalar_equal(m1[topleft.y + j, topleft.x + i], m2[j, i])
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}
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}
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# Alias
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m2 = m1.subrect(CvRect.new(0, 0, 2, 3))
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assert_equal(2, m2.width)
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assert_equal(3, m2.height)
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m2.height.times { |j|
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m2.width.times { |i|
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assert_cvscalar_equal(m1[j, i], m2[j, i])
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}
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}
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end
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def test_slice_width
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m1 = create_cvmat(10, 40, :cv32f, 1)
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ml, mr = m1.slice_width(2)
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[ml, mr].each { |m|
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assert_equal(10, m.height)
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assert_equal(20, m.width)
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assert_equal(:cv32f, m.depth)
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assert_equal(1, m.channel)
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}
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ml.height.times { |j|
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ml.width.times { |i|
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assert_cvscalar_equal(m1[j, i], ml[j, i])
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assert_cvscalar_equal(m1[j, (m1.width / 2) + i], mr[j, i])
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}
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}
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end
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def test_slice_height
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m1 = create_cvmat(10, 20, :cv32f, 1)
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mt, mb = m1.slice_height(2)
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[mt, mb].each { |m|
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assert_equal(5, m.height)
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assert_equal(20, m.width)
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assert_equal(:cv32f, m.depth)
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assert_equal(1, m.channel)
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}
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mt.height.times { |j|
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mt.width.times { |i|
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assert_cvscalar_equal(m1[j, i], mt[j, i])
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assert_cvscalar_equal(m1[(m1.height / 2) + j, i], mb[j, i])
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}
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}
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end
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def test_row
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m1 = create_cvmat(10, 20)
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m2 = m1.row(2)
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assert_equal(1, m2.height)
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assert_equal(m1.width, m2.width)
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m1.width.times { |i|
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assert_cvscalar_equal(m1[2, i], m2[i])
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}
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m2, m3 = m1.row(1, 2)
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[m2, m3].each { |m|
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assert_equal(1, m.height)
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assert_equal(m1.width, m.width)
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}
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m1.width.times { |i|
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assert_cvscalar_equal(m1[1, i], m2[i])
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assert_cvscalar_equal(m1[2, i], m3[i])
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}
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end
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def test_col
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m1 = create_cvmat(10, 20)
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m2 = m1.col(2)
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assert_equal(1, m2.width)
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assert_equal(m1.height, m2.height)
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m1.height.times { |j|
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assert_cvscalar_equal(m1[j, 2], m2[j])
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}
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m2, m3 = m1.col(1, 2)
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[m2, m3].each { |m|
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assert_equal(1, m.width)
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assert_equal(m1.height, m.height)
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}
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m1.height.times { |j|
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assert_cvscalar_equal(m1[j, 1], m2[j])
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assert_cvscalar_equal(m1[j, 2], m3[j])
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}
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end
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def test_each_row
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m1 = create_cvmat(2, 3)
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a = [[1, 2, 3], [4, 5, 6]]
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a.map! { |a1|
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a1.map! { |a2|
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CvScalar.new(a2, a2, a2, a2).to_ary
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}
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}
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j = 0
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m1.each_row { |r|
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a[j].size.times { |i|
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assert_cvscalar_equal(a[j][i], r[i])
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}
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j += 1
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}
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end
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def test_each_col
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m1 = create_cvmat(2, 3)
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a = [[1, 4], [2, 5], [3, 6]]
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a.map! { |a1|
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a1.map! { |a2|
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CvScalar.new(a2, a2, a2, a2).to_ary
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}
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}
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j = 0
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m1.each_col { |c|
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a[j].size.times { |i|
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assert_cvscalar_equal(a[j][i], c[i])
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}
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j += 1
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}
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# Alias
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j = 0
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m1.each_column { |c|
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a[j].size.times { |i|
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assert_cvscalar_equal(a[j][i], c[i])
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}
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j += 1
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}
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end
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def test_diag
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m = create_cvmat(5, 5)
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a = [1, 7, 13, 19, 25].map { |x| CvScalar.new(x, x, x, x) }
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d = m.diag
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a.each_with_index { |s, i|
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assert_cvscalar_equal(s, d[i])
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}
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a = [2, 8, 14, 20].map { |x| CvScalar.new(x, x, x, x) }
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d = m.diag(1)
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a.each_with_index { |s, i|
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assert_cvscalar_equal(s, d[i])
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}
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a = [6, 12, 18, 24].map { |x| CvScalar.new(x, x, x, x) }
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d = m.diag(-1)
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a.each_with_index { |s, i|
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assert_cvscalar_equal(s, d[i])
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}
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# Alias
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a = [1, 7, 13, 19, 25].map { |x| CvScalar.new(x, x, x, x) }
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d = m.diagonal
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a.each_with_index { |s, i|
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assert_cvscalar_equal(s, d[i])
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}
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end
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def test_size
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m = CvMat.new(2, 3)
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assert_equal(3, m.size.width)
|
|
assert_equal(2, m.size.height)
|
|
end
|
|
|
|
def test_dims
|
|
m = CvMat.new(2, 3)
|
|
assert_equal([2, 3], m.dims)
|
|
end
|
|
|
|
def test_dim_size
|
|
m = CvMat.new(2, 3)
|
|
assert_equal(2, m.dim_size(0))
|
|
assert_equal(3, m.dim_size(1))
|
|
end
|
|
|
|
def test_aref
|
|
m = create_cvmat(2, 3)
|
|
assert_cvscalar_equal(CvScalar.new(1, 1, 1, 1), m[0])
|
|
assert_cvscalar_equal(CvScalar.new(5, 5, 5, 5), m[4])
|
|
assert_cvscalar_equal(CvScalar.new(2, 2, 2, 2), m[0, 1])
|
|
assert_cvscalar_equal(CvScalar.new(4, 4, 4, 4), m[1, 0])
|
|
assert_cvscalar_equal(CvScalar.new(2, 2, 2, 2), m[0, 1, 2])
|
|
assert_cvscalar_equal(CvScalar.new(4, 4, 4, 4), m[1, 0, 3, 4])
|
|
|
|
# Alias
|
|
assert_cvscalar_equal(CvScalar.new(1, 1, 1, 1), m.at(0))
|
|
end
|
|
|
|
def test_aset
|
|
m = create_cvmat(2, 3)
|
|
m[0] = CvScalar.new(10, 10, 10, 10)
|
|
assert_cvscalar_equal(CvScalar.new(10, 10, 10, 10), m[0])
|
|
m[1, 0] = CvScalar.new(20, 20, 20, 20)
|
|
assert_cvscalar_equal(CvScalar.new(20, 20, 20, 20), m[1, 0])
|
|
m[1, 0, 2] = CvScalar.new(4, 4, 4, 4)
|
|
assert_cvscalar_equal(CvScalar.new(4, 4, 4, 4), m[1, 0])
|
|
m[1, 0, 2, 4] = CvScalar.new(5, 5, 5, 5)
|
|
assert_cvscalar_equal(CvScalar.new(5, 5, 5, 5), m[1, 0])
|
|
end
|
|
|
|
def test_fill
|
|
m1 = create_cvmat(2, 3)
|
|
m2 = m1.fill(CvScalar.new(1, 2, 3, 4))
|
|
m1.fill!(CvScalar.new(1, 2, 3, 4))
|
|
m2.height.times { |j|
|
|
m2.width.times { |i|
|
|
assert_cvscalar_equal(CvScalar.new(1, 2, 3, 4), m1[j, i])
|
|
assert_cvscalar_equal(CvScalar.new(1, 2, 3, 4), m2[j, i])
|
|
}
|
|
}
|
|
|
|
m1 = create_cvmat(5, 5)
|
|
m0 = m1.clone
|
|
mask = CvMat.new(m1.height, m1.width, :cv8u, 1).clear
|
|
2.times { |j|
|
|
2.times { |i|
|
|
mask[j, i] = CvScalar.new(1, 1, 1, 1)
|
|
}
|
|
}
|
|
|
|
m2 = m1.fill(CvScalar.new(1, 2, 3, 4), mask)
|
|
m1.fill!(CvScalar.new(1, 2, 3, 4), mask)
|
|
m2.height.times { |j|
|
|
m2.width.times { |i|
|
|
if i < 2 and j < 2
|
|
assert_cvscalar_equal(CvScalar.new(1, 2, 3, 4), m1[j, i])
|
|
assert_cvscalar_equal(CvScalar.new(1, 2, 3, 4), m2[j, i])
|
|
else
|
|
assert_cvscalar_equal(m0[j, i], m1[j, i])
|
|
assert_cvscalar_equal(m0[j, i], m2[j, i])
|
|
end
|
|
}
|
|
}
|
|
|
|
# Alias
|
|
m1 = create_cvmat(2, 3)
|
|
m2 = m1.set(CvScalar.new(1, 2, 3, 4))
|
|
m1.set!(CvScalar.new(1, 2, 3, 4))
|
|
m2.height.times { |j|
|
|
m2.width.times { |i|
|
|
assert_cvscalar_equal(CvScalar.new(1, 2, 3, 4), m1[j, i])
|
|
assert_cvscalar_equal(CvScalar.new(1, 2, 3, 4), m2[j, i])
|
|
}
|
|
}
|
|
|
|
m1 = create_cvmat(5, 5)
|
|
m0 = m1.clone
|
|
mask = CvMat.new(m1.height, m1.width, CV_8U, 1).clear
|
|
2.times { |j|
|
|
2.times { |i|
|
|
mask[j, i] = CvScalar.new(1, 1, 1, 1)
|
|
}
|
|
}
|
|
|
|
m2 = m1.set(CvScalar.new(1, 2, 3, 4), mask)
|
|
m1.set!(CvScalar.new(1, 2, 3, 4), mask)
|
|
m2.height.times { |j|
|
|
m2.width.times { |i|
|
|
if i < 2 and j < 2
|
|
assert_cvscalar_equal(CvScalar.new(1, 2, 3, 4), m1[j, i])
|
|
assert_cvscalar_equal(CvScalar.new(1, 2, 3, 4), m2[j, i])
|
|
else
|
|
assert_cvscalar_equal(m0[j, i], m1[j, i])
|
|
assert_cvscalar_equal(m0[j, i], m2[j, i])
|
|
end
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_clear
|
|
m1 = create_cvmat(2, 3)
|
|
m2 = m1.clear
|
|
m1.clear!
|
|
m2.height.times { |j|
|
|
m2.width.times { |i|
|
|
assert_cvscalar_equal(CvScalar.new(0, 0, 0, 0), m1[j, i])
|
|
assert_cvscalar_equal(CvScalar.new(0, 0, 0, 0), m2[j, i])
|
|
}
|
|
}
|
|
|
|
# Alias
|
|
m1 = create_cvmat(2, 3)
|
|
m2 = m1.set_zero
|
|
m1.set_zero!
|
|
m2.height.times { |j|
|
|
m2.width.times { |i|
|
|
assert_cvscalar_equal(CvScalar.new(0, 0, 0, 0), m1[j, i])
|
|
assert_cvscalar_equal(CvScalar.new(0, 0, 0, 0), m2[j, i])
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_identity
|
|
m1 = create_cvmat(5, 5)
|
|
m2 = m1.identity
|
|
m1.identity!
|
|
m2.height.times { |j|
|
|
m2.width.times { |i|
|
|
if i == j
|
|
assert_cvscalar_equal(CvScalar.new(1, 0, 0, 0), m1[j, i])
|
|
assert_cvscalar_equal(CvScalar.new(1, 0, 0, 0), m2[j, i])
|
|
else
|
|
assert_cvscalar_equal(CvScalar.new(0, 0, 0, 0), m1[j, i])
|
|
assert_cvscalar_equal(CvScalar.new(0, 0, 0, 0), m2[j, i])
|
|
end
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_range
|
|
m1 = CvMat.new(1, 10, CV_32S, 1)
|
|
m2 = m1.range(0, m1.cols)
|
|
m1.range!(0, m1.cols)
|
|
m2.width.times { |i|
|
|
assert_cvscalar_equal(CvScalar.new(i, 0, 0, 0), m1[0, i])
|
|
assert_cvscalar_equal(CvScalar.new(i, 0, 0, 0), m2[0, i])
|
|
}
|
|
end
|
|
|
|
def test_reshape
|
|
m = create_cvmat(2, 3, CV_8U, 3)
|
|
assert_raise(TypeError) {
|
|
m.reshape(1)
|
|
}
|
|
|
|
vec = m.reshape(:rows => 1)
|
|
assert_equal(6, vec.width)
|
|
assert_equal(1, vec.height)
|
|
size = m.width * m.height
|
|
size.times { |i|
|
|
assert_cvscalar_equal(m[i], vec[i])
|
|
}
|
|
|
|
ch1 = m.reshape(:channel => 1)
|
|
assert_equal(9, ch1.width)
|
|
assert_equal(2, ch1.height)
|
|
|
|
m.height.times { |j|
|
|
m.width.times { |i|
|
|
s1 = ch1[j, i * 3][0]
|
|
s2 = ch1[j, i * 3 + 1][0]
|
|
s3 = ch1[j, i * 3 + 2][0]
|
|
assert_cvscalar_equal(m[j, i], CvScalar.new(s1, s2, s3, 0))
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_repeat
|
|
m1 = create_cvmat(2, 3, :cv8u, 3)
|
|
assert_raise(TypeError) {
|
|
m1.repeat(1)
|
|
}
|
|
m2 = CvMat.new(6, 9, :cv8u, 3)
|
|
m2 = m1.repeat(m2)
|
|
m2.height.times { |j|
|
|
m2.width.times { |i|
|
|
a = m1[j % m1.height, i % m1.width]
|
|
assert_cvscalar_equal(m2[j, i], a)
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_flip
|
|
m0 = create_cvmat(2, 3)
|
|
|
|
m1 = m0.clone
|
|
m1.flip!(:x)
|
|
m2 = m0.flip(:x)
|
|
m3 = m0.clone
|
|
m3.flip!(:y)
|
|
m4 = m0.flip(:y)
|
|
m5 = m0.clone
|
|
m5.flip!(:xy)
|
|
m6 = m0.flip(:xy)
|
|
m7 = m0.clone
|
|
m7.flip!
|
|
m8 = m0.flip
|
|
|
|
[m1, m2, m3, m4, m5, m6, m7, m8].each { |m|
|
|
assert_equal(m0.height, m.height)
|
|
assert_equal(m0.width, m.width)
|
|
}
|
|
m0.height.times { |j|
|
|
m0.width.times { |i|
|
|
ri = m0.width - i - 1
|
|
rj = m0.height - j - 1
|
|
assert_cvscalar_equal(m0[j, ri], m1[j, i])
|
|
assert_cvscalar_equal(m0[j, ri], m2[j, i])
|
|
assert_cvscalar_equal(m0[rj, i], m3[j, i])
|
|
assert_cvscalar_equal(m0[rj, i], m4[j, i])
|
|
assert_cvscalar_equal(m0[rj, ri], m5[j, i])
|
|
assert_cvscalar_equal(m0[rj, ri], m6[j, i])
|
|
assert_cvscalar_equal(m0[rj, i], m7[j, i])
|
|
assert_cvscalar_equal(m0[rj, i], m8[j, i])
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_split
|
|
m0 = create_cvmat(2, 3, :cv8u, 3) { |j, i, c|
|
|
CvScalar.new(c * 10, c * 20, c * 30)
|
|
}
|
|
m0.split.each_with_index { |m, idx|
|
|
assert_equal(m0.height, m.height)
|
|
assert_equal(m0.width, m.width)
|
|
|
|
c = 0
|
|
m0.height.times { |j|
|
|
m0.width.times { |i|
|
|
val = c * 10 * (idx + 1)
|
|
assert_cvscalar_equal(CvScalar.new(val), m[j, i])
|
|
c += 1
|
|
}
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_merge
|
|
m0 = create_cvmat(2, 3, :cv8u, 4) { |j, i, c|
|
|
CvScalar.new(c * 10, c * 20, c * 30, c * 40)
|
|
}
|
|
m1 = create_cvmat(2, 3, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(c * 10)
|
|
}
|
|
m2 = create_cvmat(2, 3, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(c * 20)
|
|
}
|
|
m3 = create_cvmat(2, 3, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(c * 30)
|
|
}
|
|
m4 = create_cvmat(2, 3, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(c * 40)
|
|
}
|
|
|
|
m = CvMat.merge(m1, m2, m3, m4)
|
|
|
|
assert_equal(m0.height, m.height)
|
|
assert_equal(m0.width, m.width)
|
|
m0.height.times { |j|
|
|
m0.width.times { |i|
|
|
assert_cvscalar_equal(m0[j, i], m[j, i])
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_mix_channels
|
|
flunk('FIXME: CvMat.mix_channels is not implemented yet.')
|
|
end
|
|
|
|
def test_rand_shuffle
|
|
m0 = create_cvmat(2, 3)
|
|
m1 = m0.clone
|
|
m1.rand_shuffle!
|
|
m2 = m0.rand_shuffle
|
|
m3 = m0.clone
|
|
m3.rand_shuffle!(123, 234)
|
|
m4 = m0.rand_shuffle(123, 234)
|
|
|
|
assert_shuffled_equal = lambda { |src, shuffled|
|
|
assert_equal(src.width, shuffled.width)
|
|
assert_equal(src.height, shuffled.height)
|
|
mat0, mat1 = [], []
|
|
src.height { |j|
|
|
src.width { |i|
|
|
mat0 << src[j, i].to_s
|
|
mat1 << shuffled[j, i].to_s
|
|
}
|
|
}
|
|
assert_equal(0, (mat0 - mat1).size)
|
|
}
|
|
|
|
[m1, m2, m3, m4].each { |m|
|
|
assert_shuffled_equal.call(m0, m)
|
|
}
|
|
end
|
|
|
|
def test_lut
|
|
m0 = create_cvmat(2, 3, :cv8u, 3)
|
|
lut_mat = create_cvmat(1, 256, :cv8u, 3) { |j, i, c|
|
|
CvScalar.new(255 - c, 255 - c, 255 - c)
|
|
}
|
|
|
|
m = m0.lut(lut_mat)
|
|
assert_equal(m0.height, m.height)
|
|
assert_equal(m0.width, m.width)
|
|
m0.height.times { |j|
|
|
m0.width.times { |i|
|
|
r, g, b = m0[j, i].to_ary.map { |c| 255 - c }
|
|
assert_cvscalar_equal(CvScalar.new(r, g, b, 0), m[j, i])
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_convert_scale
|
|
m0 = create_cvmat(2, 3, :cv32f, 4) { |j, i, c|
|
|
CvScalar.new(-c, -c, -c, -c)
|
|
}
|
|
|
|
m1 = m0.convert_scale(:depth => :cv8u)
|
|
m2 = m0.convert_scale(:scale => 1.5)
|
|
m3 = m0.convert_scale(:shift => 10.0)
|
|
m4 = m0.convert_scale(:depth => CV_16U)
|
|
|
|
[m1, m2, m3, m4].each { |m|
|
|
assert_equal(m0.height, m.height)
|
|
assert_equal(m0.width, m.width)
|
|
}
|
|
m0.height.times { |j|
|
|
m0.width.times { |i|
|
|
assert_cvscalar_equal(CvScalar.new(0, 0, 0, 0), m1[j, i])
|
|
a = m0[j, i].to_ary.map { |x| x * 1.5 }
|
|
assert_in_delta(a, m2[j, i], 0.001)
|
|
a = m0[j, i].to_ary.map { |x| x + 10.0 }
|
|
assert_in_delta(a, m3[j, i], 0.001)
|
|
assert_cvscalar_equal(CvScalar.new(0, 0, 0, 0), m4[j, i])
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_convert_scale_abs
|
|
m0 = create_cvmat(2, 3, :cv8u, 4) { |j, i, c|
|
|
CvScalar.new(c, c, c, c)
|
|
}
|
|
|
|
m1 = m0.convert_scale_abs(:depth => :cv64f)
|
|
m2 = m0.convert_scale_abs(:scale => 2)
|
|
m3 = m0.convert_scale_abs(:shift => 10.0)
|
|
m4 = m0.convert_scale_abs(:depth => CV_64F)
|
|
|
|
[m1, m2, m3, m4].each { |m|
|
|
assert_equal(m0.height, m.height)
|
|
assert_equal(m0.width, m.width)
|
|
}
|
|
m0.height.times { |j|
|
|
m0.width.times { |i|
|
|
assert_cvscalar_equal(m0[j, i], m1[j, i])
|
|
a = m0[j, i].to_ary.map { |x| (x * 2).abs }
|
|
assert_in_delta(a, m2[j, i], 0.001)
|
|
a = m0[j, i].to_ary.map { |x| (x + 10.0).abs }
|
|
assert_in_delta(a, m3[j, i], 0.001)
|
|
assert_cvscalar_equal(m0[j, i], m4[j, i])
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_add
|
|
m1 = create_cvmat(6, 4, :cv32f, 4) { |j, i, c|
|
|
CvScalar.new(c * 0.1, c * 0.2, c * 0.3, c * 0.4)
|
|
}
|
|
m2 = create_cvmat(6, 4, :cv32f, 4) { |j, i, c|
|
|
CvScalar.new(c * 1, c * 2, c * 3, c * 4)
|
|
}
|
|
|
|
# CvMat + CvMat
|
|
m3 = m1.add(m2)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
n = 0
|
|
m1.height.times { |j|
|
|
m1.width.times { |i|
|
|
s = CvScalar.new(n * 1.1, n * 2.2, n * 3.3, n * 4.4)
|
|
assert_in_delta(s, m3[j, i], 0.001)
|
|
n += 1
|
|
}
|
|
}
|
|
|
|
# CvMat + CvScalar
|
|
s1 = CvScalar.new(1, 2, 3, 4)
|
|
m3 = m1.add(s1)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
n = 0
|
|
m1.height.times { |j|
|
|
m1.width.times { |i|
|
|
s = CvScalar.new(n * 0.1 + 1, n * 0.2 + 2, n * 0.3 + 3, n * 0.4 + 4)
|
|
assert_in_delta(s, m3[j, i], 0.001)
|
|
n += 1
|
|
}
|
|
}
|
|
|
|
# Alias
|
|
m3 = m1 + m2
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
n = 0
|
|
m1.height.times { |j|
|
|
m1.width.times { |i|
|
|
s = CvScalar.new(n * 1.1, n * 2.2, n * 3.3, n * 4.4)
|
|
assert_in_delta(s, m3[j, i], 0.001)
|
|
n += 1
|
|
}
|
|
}
|
|
|
|
# CvMat + CvMat with Mask
|
|
mask = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
(i < 3 and j < 2) ? 1 : 0
|
|
}
|
|
|
|
m4 = m1.add(m2, mask)
|
|
assert_equal(m1.height, m4.height)
|
|
assert_equal(m1.width, m4.width)
|
|
n = 0
|
|
m1.height.times { |j|
|
|
m1.width.times { |i|
|
|
if i < 3 and j < 2
|
|
s = CvScalar.new(n * 1.1, n * 2.2, n * 3.3, n * 4.4)
|
|
else
|
|
s = m1[j, i]
|
|
end
|
|
assert_in_delta(s, m4[j, i], 0.001)
|
|
n += 1
|
|
}
|
|
}
|
|
|
|
# CvMat + CvScalar with Mask
|
|
m4 = m1.add(s1, mask)
|
|
assert_equal(m1.height, m4.height)
|
|
assert_equal(m1.width, m4.width)
|
|
n = 0
|
|
m1.height.times { |j|
|
|
m1.width.times { |i|
|
|
if i < 3 and j < 2
|
|
s = CvScalar.new(n * 0.1 + 1, n * 0.2 + 2, n * 0.3 + 3, n * 0.4 + 4)
|
|
else
|
|
s = m1[j, i]
|
|
end
|
|
assert_in_delta(s, m4[j, i], 0.001)
|
|
n += 1
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_sub
|
|
m1 = create_cvmat(6, 4, :cv32f, 4) { |j, i, c|
|
|
CvScalar.new(c * 0.1, c * 0.2, c * 0.3, c * 0.4)
|
|
}
|
|
m2 = create_cvmat(6, 4, :cv32f, 4) { |j, i, c|
|
|
CvScalar.new(c * 1, c * 2, c * 3, c * 4)
|
|
}
|
|
|
|
# CvMat - CvMat
|
|
m3 = m1.sub(m2)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
n = 0
|
|
m1.height.times { |j|
|
|
m1.width.times { |i|
|
|
s = CvScalar.new(-n * 0.9, -n * 1.8, -n * 2.7, -n * 3.6)
|
|
assert_in_delta(s, m3[j, i], 0.001)
|
|
n += 1
|
|
}
|
|
}
|
|
|
|
# CvMat - CvScalar
|
|
s1 = CvScalar.new(1, 2, 3, 4)
|
|
m3 = m1.sub(s1)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
n = 0
|
|
m1.height.times { |j|
|
|
m1.width.times { |i|
|
|
s = CvScalar.new(n * 0.1 - 1, n * 0.2 - 2, n * 0.3 - 3, n * 0.4 - 4)
|
|
assert_in_delta(s, m3[j, i], 0.001)
|
|
n += 1
|
|
}
|
|
}
|
|
|
|
# Alias
|
|
m3 = m1 - m2
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
n = 0
|
|
m1.height.times { |j|
|
|
m1.width.times { |i|
|
|
s = CvScalar.new(-n * 0.9, -n * 1.8, -n * 2.7, -n * 3.6)
|
|
assert_in_delta(s, m3[j, i], 0.001)
|
|
n += 1
|
|
}
|
|
}
|
|
|
|
mask = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
(i < 3 and j < 2) ? 1 : 0
|
|
}
|
|
|
|
# CvMat - CvMat with Mask
|
|
m4 = m1.sub(m2, mask)
|
|
assert_equal(m1.height, m4.height)
|
|
assert_equal(m1.width, m4.width)
|
|
n = 0
|
|
m1.height.times { |j|
|
|
m1.width.times { |i|
|
|
if i < 3 and j < 2
|
|
s = CvScalar.new(-n * 0.9, -n * 1.8, -n * 2.7, -n * 3.6)
|
|
else
|
|
s = m1[j, i]
|
|
end
|
|
assert_in_delta(s, m4[j, i], 0.001)
|
|
n += 1
|
|
}
|
|
}
|
|
|
|
# CvMat - CvScalar with Mask
|
|
m4 = m1.sub(s1, mask)
|
|
assert_equal(m1.height, m4.height)
|
|
assert_equal(m1.width, m4.width)
|
|
n = 0
|
|
m1.height.times { |j|
|
|
m1.width.times { |i|
|
|
if i < 3 and j < 2
|
|
s = CvScalar.new(n * 0.1 - 1, n * 0.2 - 2, n * 0.3 - 3, n * 0.4 - 4)
|
|
else
|
|
s = m1[j, i]
|
|
end
|
|
assert_in_delta(s, m4[j, i], 0.001)
|
|
n += 1
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_mul
|
|
m1 = create_cvmat(3, 3, :cv32f)
|
|
s1 = CvScalar.new(0.1, 0.2, 0.3, 0.4)
|
|
m2 = create_cvmat(3, 3, :cv32f) { s1 }
|
|
|
|
# CvMat * CvMat
|
|
m3 = m1.mul(m2)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3, 0.001) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n * 0.1, n * 0.2, n * 0.3, n * 0.4)
|
|
}
|
|
|
|
# CvMat * CvMat * scale
|
|
scale = 2.5
|
|
m3 = m1.mul(m2, scale)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3, 0.001) { |j, i, c|
|
|
n = (c + 1) * scale
|
|
CvScalar.new(n * 0.1, n * 0.2, n * 0.3, n * 0.4)
|
|
}
|
|
|
|
# CvMat * CvScalar
|
|
scale = 2.5
|
|
m3 = m1.mul(s1)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3, 0.001) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n * 0.1, n * 0.2, n * 0.3, n * 0.4)
|
|
}
|
|
|
|
# CvMat * CvScalar * scale
|
|
m3 = m1.mul(s1, scale)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3, 0.001) { |j, i, c|
|
|
n = (c + 1) * scale
|
|
CvScalar.new(n * 0.1, n * 0.2, n * 0.3, n * 0.4)
|
|
}
|
|
end
|
|
|
|
def test_mat_mul
|
|
m0 = create_cvmat(3, 3, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(c * 0.1)
|
|
}
|
|
m1 = create_cvmat(3, 3, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(c)
|
|
}
|
|
m2 = create_cvmat(3, 3, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(c + 1)
|
|
}
|
|
|
|
m3 = m0.mat_mul(m1)
|
|
m4 = m0 * m1
|
|
|
|
[m3, m4].each { |m|
|
|
assert_equal(m1.width, m.width)
|
|
assert_equal(m1.height, m.height)
|
|
assert_in_delta(1.5, m[0, 0][0], 0.001)
|
|
assert_in_delta(1.8, m[0, 1][0], 0.001)
|
|
assert_in_delta(2.1, m[0, 2][0], 0.001)
|
|
assert_in_delta(4.2, m[1, 0][0], 0.001)
|
|
assert_in_delta(5.4, m[1, 1][0], 0.001)
|
|
assert_in_delta(6.6, m[1, 2][0], 0.001)
|
|
assert_in_delta(6.9, m[2, 0][0], 0.001)
|
|
assert_in_delta(9, m[2, 1][0], 0.001)
|
|
assert_in_delta(11.1, m[2, 2][0], 0.001)
|
|
}
|
|
|
|
m5 = m0.mat_mul(m1, m2)
|
|
[m5].each { |m|
|
|
assert_equal(m1.width, m.width)
|
|
assert_equal(m1.height, m.height)
|
|
assert_in_delta(2.5, m[0, 0][0], 0.001)
|
|
assert_in_delta(3.8, m[0, 1][0], 0.001)
|
|
assert_in_delta(5.1, m[0, 2][0], 0.001)
|
|
assert_in_delta(8.2, m[1, 0][0], 0.001)
|
|
assert_in_delta(10.4, m[1, 1][0], 0.001)
|
|
assert_in_delta(12.6, m[1, 2][0], 0.001)
|
|
assert_in_delta(13.9, m[2, 0][0], 0.001)
|
|
assert_in_delta(17, m[2, 1][0], 0.001)
|
|
assert_in_delta(20.1, m[2, 2][0], 0.001)
|
|
}
|
|
end
|
|
|
|
def test_div
|
|
m1 = create_cvmat(3, 3, :cv32f)
|
|
s1 = CvScalar.new(0.1, 0.2, 0.3, 0.4)
|
|
m2 = create_cvmat(3, 3, :cv32f) { s1 }
|
|
|
|
# CvMat / CvMat
|
|
m3 = m1.div(m2)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3, 0.001) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n / 0.1, n / 0.2, n / 0.3, n / 0.4)
|
|
}
|
|
|
|
# scale * CvMat / CvMat
|
|
scale = 2.5
|
|
m3 = m1.div(m2, scale)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3, 0.001) { |j, i, c|
|
|
n = (c + 1) * scale
|
|
CvScalar.new(n / 0.1, n / 0.2, n / 0.3, n / 0.4)
|
|
}
|
|
|
|
# CvMat / CvScalar
|
|
scale = 2.5
|
|
m3 = m1.div(s1)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3, 0.001) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n / 0.1, n / 0.2, n / 0.3, n / 0.4)
|
|
}
|
|
|
|
# scale * CvMat / CvScalar
|
|
m3 = m1.div(s1, scale)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3, 0.001) { |j, i, c|
|
|
n = (c + 1) * scale
|
|
CvScalar.new(n / 0.1, n / 0.2, n / 0.3, n / 0.4)
|
|
}
|
|
|
|
# Alias
|
|
m3 = m1 / m2
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3, 0.001) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n / 0.1, n / 0.2, n / 0.3, n / 0.4)
|
|
}
|
|
end
|
|
|
|
def test_and
|
|
m1 = create_cvmat(6, 4)
|
|
s1 = CvScalar.new(1, 2, 3, 4)
|
|
m2 = create_cvmat(6, 4) { s1 }
|
|
mask = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
s = (i < 3 and j < 2) ? 1 : 0
|
|
CvScalar.new(s)
|
|
}
|
|
|
|
# CvMat & CvMat
|
|
m3 = m1.and(m2)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n & 1, n & 2, n & 3, n & 4)
|
|
}
|
|
|
|
# CvMat & CvMat with mask
|
|
m3 = m1.and(m2, mask)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
if i < 3 and j < 2
|
|
CvScalar.new(n & 1, n & 2, n & 3, n & 4)
|
|
else
|
|
CvScalar.new(n, n, n, n)
|
|
end
|
|
}
|
|
|
|
# CvMat & CvScalar
|
|
m3 = m1.and(s1)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n & 1, n & 2, n & 3, n & 4)
|
|
}
|
|
|
|
# CvMat & CvScalar with mask
|
|
m3 = m1.and(s1, mask)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
if i < 3 and j < 2
|
|
CvScalar.new(n & 1, n & 2, n & 3, n & 4)
|
|
else
|
|
CvScalar.new(n, n, n, n)
|
|
end
|
|
}
|
|
|
|
# Alias
|
|
m3 = m1 & m2
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n & 1, n & 2, n & 3, n & 4)
|
|
}
|
|
|
|
m3 = m1 & s1
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n & 1, n & 2, n & 3, n & 4)
|
|
}
|
|
end
|
|
|
|
def test_or
|
|
m1 = create_cvmat(6, 4)
|
|
s1 = CvScalar.new(1, 2, 3, 4)
|
|
m2 = create_cvmat(6, 4) { s1 }
|
|
mask = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
s = (i < 3 and j < 2) ? 1 : 0
|
|
CvScalar.new(s)
|
|
}
|
|
|
|
# CvMat | CvMat
|
|
m3 = m1.or(m2)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n | 1, n | 2, n | 3, n | 4)
|
|
}
|
|
|
|
# CvMat | CvMat with mask
|
|
m3 = m1.or(m2, mask)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
if i < 3 and j < 2
|
|
CvScalar.new(n | 1, n | 2, n | 3, n | 4)
|
|
else
|
|
CvScalar.new(n, n, n, n)
|
|
end
|
|
}
|
|
|
|
# CvMat | CvScalar
|
|
m3 = m1.or(s1)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n | 1, n | 2, n | 3, n | 4)
|
|
}
|
|
|
|
# CvMat | CvScalar with mask
|
|
m3 = m1.or(s1, mask)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
if i < 3 and j < 2
|
|
CvScalar.new(n | 1, n | 2, n | 3, n | 4)
|
|
else
|
|
CvScalar.new(n, n, n, n)
|
|
end
|
|
}
|
|
|
|
# Alias
|
|
m3 = m1 | m2
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n | 1, n | 2, n | 3, n | 4)
|
|
}
|
|
|
|
m3 = m1 | s1
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n | 1, n | 2, n | 3, n | 4)
|
|
}
|
|
end
|
|
|
|
|
|
def test_xor
|
|
m1 = create_cvmat(6, 4)
|
|
s1 = CvScalar.new(1, 2, 3, 4)
|
|
m2 = create_cvmat(6, 4) { s1 }
|
|
mask = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
s = (i < 3 and j < 2) ? 1 : 0
|
|
CvScalar.new(s)
|
|
}
|
|
|
|
# CvMat ^ CvMat
|
|
m3 = m1.xor(m2)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n ^ 1, n ^ 2, n ^ 3, n ^ 4)
|
|
}
|
|
|
|
# CvMat ^ CvMat with mask
|
|
m3 = m1.xor(m2, mask)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
if i < 3 and j < 2
|
|
CvScalar.new(n ^ 1, n ^ 2, n ^ 3, n ^ 4)
|
|
else
|
|
CvScalar.new(n, n, n, n)
|
|
end
|
|
}
|
|
|
|
# CvMat ^ CvScalar
|
|
m3 = m1.xor(s1)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n ^ 1, n ^ 2, n ^ 3, n ^ 4)
|
|
}
|
|
|
|
# CvMat ^ CvScalar with mask
|
|
m3 = m1.xor(s1, mask)
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
if i < 3 and j < 2
|
|
CvScalar.new(n ^ 1, n ^ 2, n ^ 3, n ^ 4)
|
|
else
|
|
CvScalar.new(n, n, n, n)
|
|
end
|
|
}
|
|
|
|
# Alias
|
|
m3 = m1 ^ m2
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n ^ 1, n ^ 2, n ^ 3, n ^ 4)
|
|
}
|
|
|
|
m3 = m1 ^ s1
|
|
assert_equal(m1.height, m3.height)
|
|
assert_equal(m1.width, m3.width)
|
|
assert_each_cvscalar(m3) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(n ^ 1, n ^ 2, n ^ 3, n ^ 4)
|
|
}
|
|
end
|
|
|
|
def test_not
|
|
m1 = create_cvmat(6, 4, :cv8s)
|
|
m2 = m1.not;
|
|
m3 = m1.clone
|
|
m3.not!
|
|
[m2, m3].each { |m|
|
|
assert_equal(m1.height, m.height)
|
|
assert_equal(m1.width, m.width)
|
|
assert_each_cvscalar(m) { |j, i, c|
|
|
n = c + 1
|
|
CvScalar.new(~n, ~n, ~n, ~n)
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_eq
|
|
m1 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
n = (c.even?) ? 10 : c
|
|
CvScalar.new(n, 0, 0, 0)
|
|
}
|
|
m2 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(10, 0, 0, 0)
|
|
}
|
|
s1 = CvScalar.new(10, 0, 0, 0)
|
|
m3 = m1.eq(m2)
|
|
m4 = m1.eq(s1)
|
|
m5 = m1.eq(10)
|
|
|
|
[m3, m4, m5].each { |m|
|
|
assert_equal(m1.height, m.height)
|
|
assert_equal(m1.width, m.width)
|
|
assert_each_cvscalar(m) { |j, i, c|
|
|
n = (c.even?) ? 0xff : 0
|
|
CvScalar.new(n, 0, 0, 0)
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_gt
|
|
m1 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(c, 0, 0, 0)
|
|
}
|
|
m2 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(10, 0, 0, 0)
|
|
}
|
|
s1 = CvScalar.new(10, 0, 0, 0)
|
|
m3 = m1.gt(m2)
|
|
m4 = m1.gt(s1)
|
|
m5 = m1.gt(10)
|
|
|
|
[m3, m4, m5].each { |m|
|
|
assert_equal(m1.height, m.height)
|
|
assert_equal(m1.width, m.width)
|
|
assert_each_cvscalar(m) { |j, i, c|
|
|
n = (c > 10) ? 0xff : 0
|
|
CvScalar.new(n, 0, 0, 0)
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_ge
|
|
m1 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(c, 0, 0, 0)
|
|
}
|
|
m2 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(10, 0, 0, 0)
|
|
}
|
|
s1 = CvScalar.new(10, 0, 0, 0)
|
|
m3 = m1.ge(m2)
|
|
m4 = m1.ge(s1)
|
|
m5 = m1.ge(10)
|
|
|
|
[m3, m4, m5].each { |m|
|
|
assert_equal(m1.height, m.height)
|
|
assert_equal(m1.width, m.width)
|
|
assert_each_cvscalar(m) { |j, i, c|
|
|
n = (c >= 10) ? 0xff : 0
|
|
CvScalar.new(n, 0, 0, 0)
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_lt
|
|
m1 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(c, 0, 0, 0)
|
|
}
|
|
m2 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(10, 0, 0, 0)
|
|
}
|
|
s1 = CvScalar.new(10, 0, 0, 0)
|
|
m3 = m1.lt(m2)
|
|
m4 = m1.lt(s1)
|
|
m5 = m1.lt(10)
|
|
|
|
[m3, m4, m5].each { |m|
|
|
assert_equal(m1.height, m.height)
|
|
assert_equal(m1.width, m.width)
|
|
assert_each_cvscalar(m) { |j, i, c|
|
|
n = (c < 10) ? 0xff : 0
|
|
CvScalar.new(n, 0, 0, 0)
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_le
|
|
m1 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(c, 0, 0, 0)
|
|
}
|
|
m2 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(10, 0, 0, 0)
|
|
}
|
|
s1 = CvScalar.new(10, 0, 0, 0)
|
|
m3 = m1.le(m2)
|
|
m4 = m1.le(s1)
|
|
m5 = m1.le(10)
|
|
|
|
[m3, m4, m5].each { |m|
|
|
assert_equal(m1.height, m.height)
|
|
assert_equal(m1.width, m.width)
|
|
assert_each_cvscalar(m) { |j, i, c|
|
|
n = (c <= 10) ? 0xff : 0
|
|
CvScalar.new(n, 0, 0, 0)
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_in_range
|
|
m0 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(c + 5, 0, 0, 0)
|
|
}
|
|
m1 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(10, 0, 0, 0)
|
|
}
|
|
m2 = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
CvScalar.new(20, 0, 0, 0)
|
|
}
|
|
s1 = CvScalar.new(10, 0, 0, 0)
|
|
s2 = CvScalar.new(20, 0, 0, 0)
|
|
|
|
m3 = m0.in_range(m1, m2)
|
|
m4 = m0.in_range(s1, s2)
|
|
m5 = m0.in_range(10, 20)
|
|
|
|
[m3, m4, m5].each { |m|
|
|
assert_equal(m0.height, m.height)
|
|
assert_equal(m0.width, m.width)
|
|
assert_each_cvscalar(m) { |j, i, c|
|
|
val = m0[j, i][0]
|
|
n = ((val >= 10) and (val < 20)) ? 0xff : 0
|
|
CvScalar.new(n, 0, 0, 0)
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_abs_diff
|
|
m0 = create_cvmat(6, 4, :cv32f, 4) { |j, i, c|
|
|
CvScalar.new(-10 + 10.5, 20 + 10.5, -30 + 10.5, 40 - 10.5)
|
|
}
|
|
m1 = create_cvmat(6, 4, :cv32f, 4) { |j, i, c|
|
|
CvScalar.new(c + 10.5, c - 10.5, c + 10.5, c - 10.5)
|
|
}
|
|
m2 = create_cvmat(6, 4, :cv32f, 4) { |j, i, c|
|
|
CvScalar.new(c, c, c, c)
|
|
}
|
|
|
|
s1 = CvScalar.new(-10, 20, -30, 40)
|
|
m3 = m1.abs_diff(m2)
|
|
m4 = m0.abs_diff(s1)
|
|
|
|
[m3, m4].each { |m|
|
|
assert_equal(m1.width, m.width)
|
|
assert_equal(m1.height, m.height)
|
|
assert_each_cvscalar(m, 0.001) {
|
|
CvScalar.new(10.5, 10.5, 10.5, 10.5)
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_count_non_zero
|
|
m0 = create_cvmat(6, 4, :cv32f, 1) { |j, i, c|
|
|
n = 0
|
|
n = 1 if i == 0
|
|
CvScalar.new(n, 0, 0, 0)
|
|
}
|
|
assert_equal(6, m0.count_non_zero)
|
|
end
|
|
|
|
def test_sum
|
|
m0 = create_cvmat(6, 4, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(c, c, c, c)
|
|
}
|
|
assert_cvscalar_equal(CvScalar.new(276, 0, 0, 0), m0.sum)
|
|
|
|
m0 = create_cvmat(6, 4, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(-c)
|
|
}
|
|
assert_cvscalar_equal(CvScalar.new(-276, 0, 0, 0), m0.sum)
|
|
end
|
|
|
|
def test_avg_sdv
|
|
m0 = create_cvmat(6, 4, :cv32f, 4) { |j, i, c|
|
|
CvScalar.new(c * 0.1, -c * 0.1, c, -c)
|
|
}
|
|
# CvMat#avg
|
|
assert_in_delta(CvScalar.new(1.15, -1.15, 11.5, -11.5), m0.avg, 0.001)
|
|
# CvMat#sdv
|
|
assert_in_delta(CvScalar.new(0.69221, 0.69221, 6.9221, 6.9221), m0.sdv, 0.001)
|
|
# CvMat#avg_sdv
|
|
avg, sdv = m0.avg_sdv
|
|
assert_in_delta(CvScalar.new(1.15, -1.15, 11.5, -11.5), avg, 0.001)
|
|
assert_in_delta(CvScalar.new(0.69221, 0.69221, 6.9221, 6.9221), sdv, 0.001)
|
|
|
|
mask = create_cvmat(6, 4, :cv8u, 1) { |j, i, c|
|
|
n = (i == j) ? 1 : 0
|
|
CvScalar.new(n)
|
|
}
|
|
# CvMat#avg
|
|
assert_in_delta(CvScalar.new(0.75, -0.75, 7.5, -7.5), m0.avg(mask), 0.001)
|
|
# CvMat#sdv
|
|
assert_in_delta(CvScalar.new(0.55901, 0.55901, 5.5901, 5.5901), m0.sdv(mask), 0.001)
|
|
# CvMat#avg_sdv
|
|
avg, sdv = m0.avg_sdv(mask)
|
|
assert_in_delta(CvScalar.new(0.75, -0.75, 7.5, -7.5), avg, 0.001)
|
|
assert_in_delta(CvScalar.new(0.55901, 0.55901, 5.5901, 5.5901), sdv, 0.001)
|
|
end
|
|
|
|
def test_min_max_loc
|
|
m0 = create_cvmat(6, 4, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(c * 0.5)
|
|
}
|
|
m0[2, 3] = CvScalar.new(100.5) # Max
|
|
m0[5, 1] = CvScalar.new(-100.5) # Min
|
|
|
|
min_val, max_val, min_loc, max_loc = m0.min_max_loc
|
|
assert_equal(-100.5, min_val)
|
|
assert_equal(5, min_loc.y)
|
|
assert_equal(1, min_loc.x)
|
|
assert_equal(100.5, max_val)
|
|
assert_equal(2, max_loc.y)
|
|
assert_equal(3, max_loc.x)
|
|
end
|
|
|
|
def test_dot_product
|
|
m1 = create_cvmat(2, 2, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(c * 0.5)
|
|
}
|
|
m2 = create_cvmat(2, 2, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(c * 1.5)
|
|
}
|
|
assert_in_delta(10.5, m1.dot_product(m2), 0.001)
|
|
|
|
m1 = create_cvmat(2, 2, :cv32f) { |j, i, c|
|
|
CvScalar.new(c * 0.5, c * 0.6, c * 0.7, c * 0.8)
|
|
}
|
|
m2 = create_cvmat(2, 2, :cv32f) { |j, i, c|
|
|
CvScalar.new(c * 1.5, c * 2.0, c * 2.5, c * 3.0)
|
|
}
|
|
assert_in_delta(85.39999, m1.dot_product(m2), 0.001)
|
|
end
|
|
|
|
def test_cross_product
|
|
m1 = create_cvmat(1, 3, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(c * 0.5)
|
|
}
|
|
m2 = create_cvmat(1, 3, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(c + 1)
|
|
}
|
|
m3 = m1.cross_product(m2)
|
|
|
|
assert_in_delta(CvScalar.new(-0.5), m3[0, 0], 0.001)
|
|
assert_in_delta(CvScalar.new(1), m3[0, 1], 0.001)
|
|
assert_in_delta(CvScalar.new(-0.5), m3[0, 2], 0.001)
|
|
end
|
|
|
|
def test_transform
|
|
m0 = create_cvmat(5, 5, :cv32f, 3) { |j, i, c|
|
|
CvScalar.new(c * 0.5, c * 1.0, c * 1.5)
|
|
}
|
|
transmat = CvMat.new(3, 3, :cv32f, 1);
|
|
transmat[0, 0] = CvScalar.new(0.0)
|
|
transmat[1, 0] = CvScalar.new(0.0)
|
|
transmat[2, 0] = CvScalar.new(0.0)
|
|
|
|
transmat[0, 1] = CvScalar.new(0.0)
|
|
transmat[1, 1] = CvScalar.new(0.0)
|
|
transmat[2, 1] = CvScalar.new(1.0)
|
|
|
|
transmat[0, 2] = CvScalar.new(1.0)
|
|
transmat[1, 2] = CvScalar.new(0.0)
|
|
transmat[2, 2] = CvScalar.new(0.0)
|
|
|
|
m1 = m0.transform(transmat)
|
|
assert_each_cvscalar(m1, 0.01) { |j, i, c|
|
|
CvScalar.new(c * 1.5, 0, c, 0)
|
|
}
|
|
|
|
stf = CvMat.new(3, 1, :cv32f, 1)
|
|
stf[0, 0] = CvScalar.new(-10)
|
|
stf[1, 0] = CvScalar.new(0.0)
|
|
stf[2, 0] = CvScalar.new(5)
|
|
|
|
m1 = m0.transform(transmat, stf)
|
|
assert_each_cvscalar(m1, 0.01) { |j, i, c|
|
|
CvScalar.new(c * 1.5 - 10, 0, c + 5, 0)
|
|
}
|
|
end
|
|
|
|
def test_perspective_transform
|
|
mat = CvMat.new(1, 1, :cv32f, 2)
|
|
mat[0] = CvScalar.new(2, 3)
|
|
transmat = CvMat.new(3, 3, :cv32f, 1).clear
|
|
mat.channel.times { |c|
|
|
transmat[c, c] = CvScalar.new(1.0)
|
|
}
|
|
transmat[2, 2] = CvScalar.new(0.5)
|
|
|
|
m = mat.perspective_transform(transmat)
|
|
assert_equal(1, m.height)
|
|
assert_equal(1, m.width)
|
|
assert_equal(:cv32f, m.depth)
|
|
assert_equal(2, m.channel)
|
|
assert_in_delta(CvScalar.new(4, 6), m[0], 0.001);
|
|
|
|
mat = CvMat.new(1, 1, :cv32f, 3)
|
|
mat[0] = CvScalar.new(2, 3, 4)
|
|
transmat = CvMat.new(4, 4, :cv32f, 1).clear
|
|
mat.channel.times { |c|
|
|
transmat[c, c] = CvScalar.new(1.0)
|
|
}
|
|
transmat[3, 3] = CvScalar.new(0.5)
|
|
|
|
m = mat.perspective_transform(transmat)
|
|
assert_equal(1, m.height)
|
|
assert_equal(1, m.width)
|
|
assert_equal(:cv32f, m.depth)
|
|
assert_equal(3, m.channel)
|
|
assert_in_delta(CvScalar.new(4, 6, 8), m[0], 0.001);
|
|
end
|
|
|
|
def test_mul_transposed
|
|
flunk('FIXME: CvMat#mul_transposed is not implemented yet.')
|
|
end
|
|
|
|
def test_trace
|
|
m0 = create_cvmat(5, 5, :cv32f, 4) { |j, i, c|
|
|
CvScalar.new(c * 0.5, c * 1.0, c * 1.5, c * 2.0)
|
|
}
|
|
assert_in_delta(CvScalar.new(30, 60, 90, 120), m0.trace, 0.001)
|
|
end
|
|
|
|
def test_transpose
|
|
m0 = create_cvmat(5, 5, :cv32f, 4) { |j, i, c|
|
|
CvScalar.new(c * 0.5, c * 1.0, c * 1.5, c * 2.0)
|
|
}
|
|
m1 = m0.clone
|
|
m2 = m1.transpose
|
|
m1.transpose!
|
|
m3 = m0.t
|
|
m4 = m0.clone
|
|
m4.t!
|
|
|
|
[m1, m2, m3, m4].each { |m|
|
|
assert_equal(m0.width, m.width)
|
|
assert_equal(m0.height, m.height)
|
|
assert_each_cvscalar(m, 0.001) { |j, i, c|
|
|
m0[i, j]
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_det
|
|
elems = [2.5, 4.5, 2.0,
|
|
3.0, 2.5, -0.5,
|
|
1.0, 0.5, 1.5]
|
|
m0 = create_cvmat(3, 3, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(elems[c])
|
|
}
|
|
assert_in_delta(-14.5, m0.det, 0.001)
|
|
end
|
|
|
|
def test_invert
|
|
elems = [1, 2, 3,
|
|
2, 6, 9,
|
|
1, 4, 7]
|
|
m0 = create_cvmat(3, 3, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(elems[c])
|
|
}
|
|
m1 = m0.invert
|
|
m2 = m0.invert(:lu)
|
|
m3 = m0.invert(:svd)
|
|
m4 = m0.invert(:svd_sym)
|
|
m5 = m0.invert(:svd_symmetric)
|
|
|
|
expected = [3, -1, 0, -2.5, 2, -1.5, 1, -1, 1]
|
|
[m1, m2, m3, m4, m5].each { |m|
|
|
assert_equal(m0.width, m.width)
|
|
assert_equal(m0.height, m.height)
|
|
assert_each_cvscalar(m, 0.001) { |j, i, c|
|
|
CvScalar.new(expected[c])
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_solve
|
|
elems1 = [3, 4, 5,
|
|
8, 9, 6,
|
|
3, 5, 9]
|
|
elems2 = [3,
|
|
4,
|
|
5]
|
|
m0 = create_cvmat(3, 3, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(elems1[c])
|
|
}
|
|
b = create_cvmat(3, 1, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(elems2[c])
|
|
}
|
|
|
|
m1 = m0.solve(b)
|
|
m2 = m0.solve(b, :lu)
|
|
m3 = m0.solve(b, :svd)
|
|
m4 = m0.solve(b, :svd_sym)
|
|
m5 = m0.solve(b, :svd_symmetric)
|
|
expected = [2, -2, 1]
|
|
[m1, m2, m3, m4, m5].each { |m|
|
|
assert_equal(b.width, m.width)
|
|
assert_equal(m0.height, m.height)
|
|
assert_each_cvscalar(m, 0.001) { |j, i, c|
|
|
CvScalar.new(expected[c])
|
|
}
|
|
}
|
|
end
|
|
|
|
def test_svd
|
|
flunk('CvMat#svd is not implemented yet')
|
|
end
|
|
|
|
def test_svdksb
|
|
flunk('CvMat#svdksb is not implemented yet')
|
|
end
|
|
|
|
def test_eigenvv
|
|
elems = [6, -2, -3, 7]
|
|
m0 = create_cvmat(2, 2, :cv32f, 1) { |j, i, c|
|
|
CvScalar.new(elems[c])
|
|
}
|
|
|
|
v1 = m0.eigenvv
|
|
v2 = m0.eigenvv(10 ** -15)
|
|
v3 = m0.eigenvv(10 ** -15, 1, 1)
|
|
|
|
[v1, v2].each { |vec, val|
|
|
assert_in_delta(-0.615, vec[0, 0][0], 0.01)
|
|
assert_in_delta(0.788, vec[0, 1][0], 0.01)
|
|
assert_in_delta(0.788, vec[1, 0][0], 0.01)
|
|
assert_in_delta(0.615, vec[1, 1][0], 0.01)
|
|
assert_in_delta(8.562, val[0][0], 0.01)
|
|
assert_in_delta(4.438, val[1][0], 0.01)
|
|
}
|
|
|
|
vec3, val3 = v3
|
|
assert_in_delta(-0.615, vec3[0, 0][0], 0.01)
|
|
assert_in_delta(0.788, vec3[0, 1][0], 0.01)
|
|
assert_in_delta(8.562, val3[0][0], 0.01)
|
|
end
|
|
|
|
def test_calc_covar_matrix
|
|
flunk('CvMat#calc_covar_matrix is not implemented yet')
|
|
end
|
|
|
|
def test_mahalonobis
|
|
flunk('CvMat#mahalonobis is not implemented yet')
|
|
end
|
|
|
|
def test_find_fundamental_mat_7point
|
|
points1 = [[488.362, 169.911],
|
|
[449.488, 174.44],
|
|
[408.565, 179.669],
|
|
[364.512, 184.56],
|
|
[491.483, 122.366],
|
|
[451.512, 126.56],
|
|
[409.502, 130.342]]
|
|
points2 = [[526.605, 213.332],
|
|
[470.485, 207.632],
|
|
[417.5, 201.0],
|
|
[367.485, 195.632],
|
|
[530.673, 156.417],
|
|
[473.749, 151.39],
|
|
[419.503, 146.656]]
|
|
|
|
mat1 = CvMat.new(7, 2, :cv64f, 1)
|
|
mat2 = CvMat.new(7, 2, :cv64f, 1)
|
|
|
|
points1.each_with_index { |pt, i|
|
|
mat1[i, 0] = CvScalar.new(pt[0])
|
|
mat1[i, 1] = CvScalar.new(pt[1])
|
|
}
|
|
points2.each_with_index { |pt, i|
|
|
mat2[i, 0] = CvScalar.new(pt[0])
|
|
mat2[i, 1] = CvScalar.new(pt[1])
|
|
}
|
|
|
|
f_mat = CvMat.find_fundamental_mat_7point(mat1, mat2)
|
|
|
|
assert_equal(9, f_mat.rows)
|
|
assert_equal(3, f_mat.cols)
|
|
|
|
expected = [0.000009, 0.000029, -0.010343,
|
|
-0.000033, 0.000000, 0.014590,
|
|
0.004415, -0.013420, 1.000000,
|
|
0.000000, 0.000001, -0.000223,
|
|
-0.000001, 0.000036, -0.005309,
|
|
-0.000097, -0.006463, 1.000000,
|
|
0.000002, 0.000005, -0.001621,
|
|
-0.000005, 0.000031, -0.002559,
|
|
0.000527, -0.007424, 1.000000]
|
|
expected.each_with_index { |val, i|
|
|
assert_in_delta(val, f_mat[i][0], 1.0e-5)
|
|
}
|
|
end
|
|
|
|
def test_find_fundamental_mat_8point
|
|
points1 = [[488.362, 169.911],
|
|
[449.488, 174.44],
|
|
[408.565, 179.669],
|
|
[364.512, 184.56],
|
|
[491.483, 122.366],
|
|
[451.512, 126.56],
|
|
[409.502, 130.342],
|
|
[365.5, 134]]
|
|
points2 = [[526.605, 213.332],
|
|
[470.485, 207.632],
|
|
[417.5, 201.0],
|
|
[367.485, 195.632],
|
|
[530.673, 156.417],
|
|
[473.749, 151.39],
|
|
[419.503, 146.656],
|
|
[368.669, 142.565]]
|
|
|
|
mat1 = CvMat.new(8, 2, :cv64f, 1)
|
|
mat2 = CvMat.new(8, 2, :cv64f, 1)
|
|
|
|
points1.each_with_index { |pt, i|
|
|
mat1[i, 0] = CvScalar.new(pt[0])
|
|
mat1[i, 1] = CvScalar.new(pt[1])
|
|
}
|
|
points2.each_with_index { |pt, i|
|
|
mat2[i, 0] = CvScalar.new(pt[0])
|
|
mat2[i, 1] = CvScalar.new(pt[1])
|
|
}
|
|
|
|
f_mat = CvMat.find_fundamental_mat_8point(mat1, mat2)
|
|
|
|
assert_equal(3, f_mat.rows)
|
|
assert_equal(3, f_mat.cols)
|
|
|
|
expected = [0.000001, 0.000004, -0.001127,
|
|
-0.000005, 0.000038, -0.003778,
|
|
0.000819, -0.008325, 1.000000]
|
|
expected.each_with_index { |val, i|
|
|
assert_in_delta(val, f_mat[i][0], 1.0e-5)
|
|
}
|
|
end
|
|
end
|
|
|
|
|