def test_scale_auto_size():
source = cle.push(
np.asarray([[
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 1, 1, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
]]))
reference = cle.push(
np.asarray([[
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 1, 1, 1, 0, 0],
[0, 0, 0, 0, 1, 1, 1, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
]]))
result = cle.scale(source, factor_x=2, factor_y=2, auto_size=True)
a = cle.pull(result)
b = cle.pull(reference)
print(a)
print(b)
assert (np.array_equal(a, b))
def test_scale_centered():
source = cle.push(
np.asarray([[
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 1, 1, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
]]))
reference = cle.push(
np.asarray([[
[0, 0, 0, 0, 0],
[0, 0, 1, 1, 0],
[0, 0, 1, 1, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
]]))
result = cle.scale(source, factor_y=2)
a = cle.pull(result)
b = cle.pull(reference)
print(a)
print(b)
assert (np.array_equal(a, b))
def get_resampled_image(self, index = None, time_in_seconds = None, resampled_image : cle.Image = None, linear_interpolation : bool = True):
index, time_in_seconds = self._handle_index_and_time(index, time_in_seconds)
input_image = cle.push(self.get_image(index))
voxel_size = self.get_voxel_size_zyx(index)
resampled_image = cle.scale(input_image, resampled_image, factor_x=voxel_size[2], factor_y=voxel_size[1],
factor_z=voxel_size[0], linear_interpolation=linear_interpolation)
return resampled_image