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test_dilate_labels.py
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test_dilate_labels.py
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import pyclesperanto_prototype as cle
import numpy as np
def test_dilate_labels_2d():
gpu_input = cle.push(np.asarray([
[1, 0, 0, 0, 0, 2],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 4, 0, 0],
[0, 0, 0, 0, 0, 0],
[5, 0, 0, 0, 0, 3],
]))
gpu_reference = cle.push(np.asarray([
[1, 1, 0, 0, 2, 2],
[1, 1, 0, 0, 2, 2],
[0, 0, 4, 4, 4, 0],
[0, 0, 4, 4, 4, 0],
[5, 5, 4, 4, 4, 3],
[5, 5, 0, 0, 3, 3],
]))
gpu_output = cle.extend_labels_with_maximum_radius(gpu_input, radius=1)
a = cle.pull(gpu_output)
b = cle.pull(gpu_reference)
print(a)
print(b)
assert (np.array_equal(a, b))
def test_dilate_labels_3d():
gpu_input = cle.push(np.asarray([
[
[0, 0, 0, 0, 0, 2],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 4, 0, 0],
[0, 0, 0, 0, 0, 0],
[5, 0, 0, 0, 0, 3],
], [
[1, 0, 0, 0, 0, 2],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[5, 0, 0, 0, 0, 0],
]
]))
gpu_reference = cle.push(np.asarray([
[
[1, 1, 0, 0, 2, 2],
[1, 1, 0, 0, 2, 2],
[0, 0, 4, 4, 4, 0],
[0, 0, 4, 4, 4, 0],
[5, 5, 4, 4, 4, 3],
[5, 5, 0, 0, 3, 3],
],[
[1, 1, 0, 0, 2, 2],
[1, 1, 0, 0, 2, 2],
[0, 0, 4, 4, 4, 0],
[0, 0, 4, 4, 4, 0],
[5, 5, 4, 4, 4, 3],
[5, 5, 0, 0, 3, 3],
]
]))
gpu_output = cle.extend_labels_with_maximum_radius(gpu_input, radius=1)
a = cle.pull(gpu_output)
b = cle.pull(gpu_reference)
print(a)
print(b)
assert (np.array_equal(a, b))