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test_gaussian_blur.py
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test_gaussian_blur.py
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import pyclesperanto_prototype as cle
import numpy as np
def test_gaussian_blur():
test = cle.push(np.asarray([
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 100, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]
]))
result = cle.create(test)
cle.gaussian_blur(test, result, 1, 1, 0)
print(result)
a = cle.pull(result)
assert (np.min(a) > 0)
assert (np.max(a) > 15.9)
assert (np.max(a) < 16)
def test_gaussian_blur_with_sigma_array_parameter():
test = cle.push(np.asarray([
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 100, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]
]))
result = cle.create(test)
cle.gaussian_blur(test, result, sigma=[0, 1, 1])
print(result)
a = cle.pull(result)
assert (np.min(a) > 0)
assert (np.max(a) > 15.9)
assert (np.max(a) < 16)
def test_gaussian_blur_with_sigma_number_parameter():
test = cle.push(np.asarray([
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 100, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]
]))
result = cle.create(test)
cle.gaussian_blur(test, result, sigma=1)
print(result)
a = cle.pull(result)
assert (np.min(a) > 0)
assert (np.max(a) > 15.9)
assert (np.max(a) < 16)