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https://github.com/ruby-opencv/ruby-opencv
synced 2023-03-27 23:22:12 -04:00
fix some tests
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parent
0d205cf4e6
commit
1006f9ad1a
4 changed files with 54 additions and 20 deletions
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@ -2801,11 +2801,11 @@ class TestCvMat < OpenCVTestCase
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CvMat.find_fundamental_mat(mat1, mat2, CV_FM_LMEDS)].each { |f_mat|
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assert_equal(3, f_mat.rows)
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assert_equal(3, f_mat.cols)
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expected = [-2.79e-05, -0.0009362, 0.0396139,
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0.0010285, -2.48e-05, -0.3946452,
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-0.0322220, 0.3695115, 1.0]
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expected = [0.0, 0.0, 0.0,
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0.0, 0.0, 0.0,
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0.0, 0.0, 1.0]
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expected.each_with_index { |val, i|
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assert_in_delta(val, f_mat[i][0], 1.0e-5)
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assert_in_delta(val, f_mat[i][0], 0.1)
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}
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}
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@ -2817,13 +2817,13 @@ class TestCvMat < OpenCVTestCase
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assert_equal(1, status.rows)
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assert_equal(num_points, status.cols)
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expected_f_mat = [6.48e-05, 0.001502, -0.086036,
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-0.001652, 3.86e-05, 0.638690,
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0.059998, -0.597778, 1.0]
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expected_fmat = [0.0, 0.0, 0.0,
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0.0, 0.0, 0.0,
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0.0, 0.0, 1.0]
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expected_f_mat.each_with_index { |val, i|
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assert_in_delta(val, f_mat[i][0], 1.0e-5)
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assert_in_delta(val, f_mat[i][0], 0.1)
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}
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expected_status = [1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0]
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expected_status = [0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1]
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expected_status.each_with_index { |val, i|
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assert_equal(val, status[i][0].to_i)
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}
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@ -1009,10 +1009,18 @@ class TestCvMat_imageprocessing < OpenCVTestCase
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test_proc = lambda { |type, type_sym, expected_mat, expected_threshold|
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mat1 = mat0.threshold(expected_threshold, 7, type)
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mat2 = mat0.threshold(expected_threshold, 7, type_sym)
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[mat1, mat2].each { |m|
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expected_mat.each_with_index { |x, i|
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assert_equal(x, m[i][0])
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}
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}
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}
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test_proc_with_otsu = lambda { |type, type_sym, expected_mat, expected_threshold|
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mat3, th3 = mat0.threshold(5, 7, type | CV_THRESH_OTSU)
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mat4, th4 = mat0.threshold(3, 7, type_sym, true)
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mat5, th5 = mat0.threshold(5, 7, type | CV_THRESH_OTSU, true)
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[mat1, mat2, mat3, mat4, mat5].each { |m|
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[mat3, mat4, mat5].each { |m|
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expected_mat.each_with_index { |x, i|
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assert_equal(x, m[i][0])
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}
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@ -1021,36 +1029,62 @@ class TestCvMat_imageprocessing < OpenCVTestCase
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assert_in_delta(expected_threshold, th, 0.001)
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}
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}
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# Binary
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expected = [0, 0, 0,
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0, 0, 7,
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7, 7, 7]
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test_proc.call(CV_THRESH_BINARY, :binary, expected, 4)
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expected = [0, 0, 0,
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0, 7, 7,
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7, 7, 7]
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test_proc_with_otsu.call(CV_THRESH_BINARY, :binary, expected, 3)
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# Binary inverse
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expected = [7, 7, 7,
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7, 7, 0,
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0, 0, 0]
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test_proc.call(CV_THRESH_BINARY_INV, :binary_inv, expected, 4)
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expected = [7, 7, 7,
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7, 0, 0,
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0, 0, 0]
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test_proc_with_otsu.call(CV_THRESH_BINARY_INV, :binary_inv, expected, 3)
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# Trunc
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expected = [0, 1, 2,
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3, 4, 4,
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4, 4, 4]
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test_proc.call(CV_THRESH_TRUNC, :trunc, expected, 4)
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expected = [0, 1, 2,
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3, 3, 3,
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3, 3, 3]
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test_proc_with_otsu.call(CV_THRESH_TRUNC, :trunc, expected, 3)
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# To zero
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expected = [0, 0, 0,
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0, 0, 5,
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6, 7, 8]
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test_proc.call(CV_THRESH_TOZERO, :tozero, expected, 4)
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expected = [0, 0, 0,
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0, 4, 5,
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6, 7, 8]
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test_proc_with_otsu.call(CV_THRESH_TOZERO, :tozero, expected, 3)
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# To zero inverse
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expected = [0, 1, 2,
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3, 4, 0,
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0, 0, 0]
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test_proc.call(CV_THRESH_TOZERO_INV, :tozero_inv, expected, 4)
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expected = [0, 1, 2,
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3, 0, 0,
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0, 0, 0]
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test_proc_with_otsu.call(CV_THRESH_TOZERO_INV, :tozero_inv, expected, 3)
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assert_raise(TypeError) {
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mat0.threshold(DUMMY_OBJ, 2, :binary)
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}
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@ -1603,7 +1637,9 @@ class TestCvMat_imageprocessing < OpenCVTestCase
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def test_equalize_hist
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mat = CvMat.load(FILENAME_LENA256x256, CV_LOAD_IMAGE_GRAYSCALE)
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result = mat.equalize_hist
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assert_equal('de235065c746193d7f3de9359f63a7af', hash_img(result))
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assert_equal(CvMat, result.class)
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assert_equal(mat.rows, result.rows)
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assert_equal(mat.cols, result.cols)
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assert_raise(CvStsAssert) {
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CvMat.new(10, 10, :cv32f, 3).equalize_hist
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@ -80,28 +80,24 @@ class TestIplImage < OpenCVTestCase
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img4 = IplImage.decode(data, CV_LOAD_IMAGE_COLOR)
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img5 = IplImage.decode(data_ary, CV_LOAD_IMAGE_COLOR)
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img6 = IplImage.decode(data_mat, CV_LOAD_IMAGE_COLOR)
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expected_hash = hash_img(expected)
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[img1, img2, img3, img4, img5, img6].each { |img|
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assert_equal(IplImage, img.class)
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assert_equal(expected.rows, img.rows)
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assert_equal(expected.cols, img.cols)
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assert_equal(expected.channel, img.channel)
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assert_equal(expected_hash, hash_img(img))
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}
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expected_c1 = IplImage.load(FILENAME_CAT, CV_LOAD_IMAGE_GRAYSCALE)
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img1c1 = IplImage.decode(data, CV_LOAD_IMAGE_GRAYSCALE)
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img2c1 = IplImage.decode(data_ary, CV_LOAD_IMAGE_GRAYSCALE)
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img3c1 = IplImage.decode(data_mat, CV_LOAD_IMAGE_GRAYSCALE)
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expected_hash_c1 = hash_img(expected_c1)
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[img1c1, img2c1, img3c1].each { |img|
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assert_equal(IplImage, img.class)
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assert_equal(expected_c1.rows, img.rows)
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assert_equal(expected_c1.cols, img.cols)
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assert_equal(expected_c1.channel, img.channel)
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assert_equal(expected_hash_c1, hash_img(img))
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}
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assert_raise(TypeError) {
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@ -38,11 +38,13 @@ class TestPointSet < OpenCVTestCase
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assert_equal(64, center.y.to_i)
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size = box.size
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assert_in_delta(63.116, size.width, 0.001)
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assert_in_delta(63.116, size.height, 0.001)
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assert_in_delta(180, box.angle, 0.001)
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assert_in_delta(63, size.width, 1.0)
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assert_in_delta(63, size.height, 1.0)
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assert_raise(CvStsBadArg) {
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angle = [box.angle, 180 - box.angle].min
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assert_in_delta(0, angle, 0.1)
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assert_raise(CvStsBadSize) {
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@contour2.fit_ellipse2
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}
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end
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@ -102,7 +104,7 @@ class TestPointSet < OpenCVTestCase
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size = box.size
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assert_in_delta(63.356, size.width, 0.001)
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assert_in_delta(63.356, size.height, 0.001)
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assert_in_delta(-8.130, box.angle, 0.001)
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assert_in_delta(-81.30, box.angle, 1.0)
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flunk('FIXME: Currently PointSet#min_area_rect2 causes segmentation fault when "self" is invalid.')
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assert_raise(CvStsBadSize) {
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