def test_find_center_vo_with_downsampling(self):
sim = read_file('sinogram.npy')
np.pad(
sim, ((1000, 1000), (0, 0), (1000, 1000)),
mode="constant", constant_values=0)
cen = find_center_vo(sim)
assert_allclose(cen, 45.28, rtol=0.015)
def test_find_center_vo_with_downsampling(self):
sim = read_file('sinogram.npy')
np.pad(
sim, ((1000, 1000), (0, 0), (1000, 1000)),
mode="constant", constant_values=0)
cen = find_center_vo(sim)
assert_allclose(cen, 45.28, rtol=0.015)
def test_find_center_vo(self):
sim = read_file('sinogram.npy')
cen = find_center_vo(sim)
assert_allclose(cen, 45.28, rtol=1e-2)
def test_find_center_vo_with_downsampling(self):
sim = read_file('sinogram.npy')
sim = zoom(sim[:, 0, :], (45, 22), order=3, mode='reflect')
sim = np.expand_dims(sim, 1)
cen = find_center_vo(sim, smin=-10, smax=10, ncore=2)
assert_allclose(cen, 1002.0, rtol=0.25)
def test_find_center_vo(self):
sim = read_file('sinogram.npy')
cen = find_center_vo(sim, smin=-10, smax=10, ncore=2)
assert_allclose(cen, 44.75, rtol=0.25)
def test_find_center_vo(self):
sim = read_file('sinogram.npy')
cen = find_center_vo(sim)
assert_allclose(cen, 45.28, rtol=0.015)