def test_1_7_3(self):
a = np.array([[0.00121496, 0.00200313, 0.00121496],
[0.01480124, 0.02440311, 0.01480124],
[0.06633454, 0.10936716, 0.06633454],
[0.10936716, 0.18031596, 0.10936716],
[0.06633454, 0.10936716, 0.06633454],
[0.01480124, 0.02440311, 0.01480124],
[0.00121496, 0.00200313, 0.00121496]])
# alternate result, which is based on more exact numeric integral
a_alternate = np.array([[0.00166843, 0.00264296, 0.00166843],
[0.01691519, 0.02679535, 0.01691519],
[0.0674766, 0.10688965, 0.0674766],
[0.10688965, 0.16932386, 0.10688965],
[0.0674766, 0.10688965, 0.0674766],
[0.01691519, 0.02679535, 0.01691519],
[0.00166843, 0.00264296, 0.00166843]])
self.assertTrue(
np.allclose(hybrid.gaussian_blur_kernel_2d(1, 7, 3),
a,
rtol=1e-4,
atol=1e-08)
or np.allclose(hybrid.gaussian_blur_kernel_2d(1, 7, 3),
a_alternate,
rtol=1e-4,
atol=1e-08))
def test_5_5_5(self): a = np.array([[ 0.03688345, 0.03916419, 0.03995536, 0.03916419, 0.03688345], [ 0.03916419, 0.04158597, 0.04242606, 0.04158597, 0.03916419], [ 0.03995536, 0.04242606, 0.04328312, 0.04242606, 0.03995536], [ 0.03916419, 0.04158597, 0.04242606, 0.04158597, 0.03916419], [ 0.03688345, 0.03916419, 0.03995536, 0.03916419, 0.03688345]]) self.assertTrue(np.allclose(hybrid.gaussian_blur_kernel_2d(5, 5, 5), a, atol=1e-08))
def test_1079_3_5(self):
a = np.array(
[[0.06600011, 0.06685595, 0.06714369, 0.06685595, 0.06600011],
[0.06628417, 0.06714369, 0.06743267, 0.06714369, 0.06628417],
[0.06600011, 0.06685595, 0.06714369, 0.06685595, 0.06600011]])
self.assertTrue(
np.allclose(hybrid.gaussian_blur_kernel_2d(10.79, 3, 5),
a,
atol=1e-08))
def test_1_7_3(self): a = np.array([[ 0.00121496, 0.00200313, 0.00121496], [ 0.01480124, 0.02440311, 0.01480124], [ 0.06633454, 0.10936716, 0.06633454], [ 0.10936716, 0.18031596, 0.10936716], [ 0.06633454, 0.10936716, 0.06633454], [ 0.01480124, 0.02440311, 0.01480124], [ 0.00121496, 0.00200313, 0.00121496]]) self.assertTrue(np.allclose(hybrid.gaussian_blur_kernel_2d(1, 7, 3), a, atol=1e-08))
def test_1079_3_5(self):
a = np.array(
[[0.06600011, 0.06685595, 0.06714369, 0.06685595, 0.06600011],
[0.06628417, 0.06714369, 0.06743267, 0.06714369, 0.06628417],
[0.06600011, 0.06685595, 0.06714369, 0.06685595, 0.06600011]])
# alternate result, which is based on more exact numeric integral
a_alternate = np.array(
[[0.06600058, 0.06685582, 0.06714335, 0.06685582, 0.06600058],
[0.06628444, 0.06714335, 0.06743212, 0.06714335, 0.06628444],
[0.06600058, 0.06685582, 0.06714335, 0.06685582, 0.06600058]])
self.assertTrue(
np.allclose(hybrid.gaussian_blur_kernel_2d(10.79, 3, 5),
a,
rtol=1e-4,
atol=1e-08)
or np.allclose(hybrid.gaussian_blur_kernel_2d(10.79, 3, 5),
a_alternate,
rtol=1e-4,
atol=1e-08))
def test_5_5_5(self):
a = np.array(
[[0.03688345, 0.03916419, 0.03995536, 0.03916419, 0.03688345],
[0.03916419, 0.04158597, 0.04242606, 0.04158597, 0.03916419],
[0.03995536, 0.04242606, 0.04328312, 0.04242606, 0.03995536],
[0.03916419, 0.04158597, 0.04242606, 0.04158597, 0.03916419],
[0.03688345, 0.03916419, 0.03995536, 0.03916419, 0.03688345]])
# alternate result, which is based on more exact numeric integral
a_alternate = np.array(
[[0.03689354, 0.03916709, 0.03995566, 0.03916709, 0.03689354],
[0.03916709, 0.04158074, 0.0424179, 0.04158074, 0.03916709],
[0.03995566, 0.0424179, 0.04327192, 0.0424179, 0.03995566],
[0.03916709, 0.04158074, 0.0424179, 0.04158074, 0.03916709],
[0.03689354, 0.03916709, 0.03995566, 0.03916709, 0.03689354]])
self.assertTrue(
np.allclose(hybrid.gaussian_blur_kernel_2d(5, 5, 5),
a,
rtol=1e-4,
atol=1e-08)
or np.allclose(hybrid.gaussian_blur_kernel_2d(5, 5, 5),
a_alternate,
rtol=1e-4,
atol=1e-08))
