def test_inactive(self):
"""Create a wild transform without leaving the image space."""
random_state = 55
shape = (_, w) = (40, 30)
n_pixels = np.prod(shape)
np.random.seed(random_state)
perm = np.random.permutation(n_pixels)
delta_x = np.zeros(shape)
delta_y = np.zeros(shape)
for i, x in enumerate(perm):
r_inp, c_inp = i // w, i % w
r_out, c_out = x // w, x % w
delta_x[r_inp, c_inp] = c_out - c_inp
delta_y[r_inp, c_inp] = r_out - r_inp
df = DisplacementField(delta_x, delta_y)
assert df == df.adjust()
delta_x_new = delta_x.copy()
delta_x_new[0, 0] = -1
df_new = DisplacementField(delta_x_new, delta_y)
assert df_new != df_new.adjust()
def test_correct_scale(self):
"""Create outsider pixels on purpose with clear shrunk vectors."""
shape = (h, w) = (40, 30)
delta_x = np.zeros(shape)
delta_y = np.zeros(shape)
delta_x_correct = np.zeros(shape)
delta_y_correct = np.zeros(shape)
# Right
delta_x[0, 0] = 100
delta_x_correct[0, 0] = w - 1 - 0
# Up
delta_y[15, 10] = -100
delta_y_correct[15, 10] = -15
# Down
delta_y[25, 11] = 100000
delta_y_correct[25, 11] = h - 1 - 25
# Left
delta_x[1, 13] = -131231
delta_x_correct[1, 13] = -13
# random_1
delta_x[2, 4] = 10
delta_y[2, 4] = 100
c_1 = (h - 1 - 2) / 100
delta_x_correct[2, 4] = c_1 * 10
delta_y_correct[2, 4] = c_1 * 100
df = DisplacementField(delta_x, delta_y)
df_correct = DisplacementField(delta_x_correct, delta_y_correct)
assert TestAdjust.eps_equal(df.adjust(force_inside_border=True),
df_correct)
