def test_basic(self):
img = np.random.randint(255, size=(200, 200))
pulses = lulu.decompose(img)
img_ = lulu.reconstruct(pulses, img.shape)
# Write assert this way so that we can see how many
# pixels mismatch as a percent of the total nr of pixels
assert_array_equal(img_, img)
assert_equal(np.sum(img_ != img) / float(np.prod(img.shape)) * 100,
0, "Percentage mismatch =")
def test_basic(self):
img = np.random.randint(255, size=(200, 200))
pulses = lulu.decompose(img)
img_ = lulu.reconstruct(pulses, img.shape)
# Write assert this way so that we can see how many
# pixels mismatch as a percent of the total nr of pixels
assert_array_equal(img_, img)
assert_equal(
np.sum(img_ != img) / float(np.prod(img.shape)) * 100, 0,
"Percentage mismatch =")
def test_basic():
x = np.zeros((100, 100), dtype=int)
x[50, 50] = 1
F, A = sf.dpt.features(dpt.decompose(x), x.shape)
assert_equal(np.unravel_index(np.argmax(F), F.shape), [50, 50])
def test_basic():
x = np.zeros((100, 100), dtype=int)
x[50, 50] = 1
F, A = sf.dpt.features(dpt.decompose(x), x.shape)
assert_equal(np.unravel_index(np.argmax(F), F.shape), [50, 50])
