def _predict_one(self, index, new_corners):
'''
predict position of corner index
@param index:
@param new_corners:
'''
# predicting by taking vectors form near corners along the sides
# and solving linear equation for intersection
L = len(new_corners)
nb = (index + 1) % L
b = new_corners[nb]
nd = (index - 1 + L) % L
d = new_corners[nd]
assert isinstance(b, Corner)
v1 = b.get_prediction_vector(True, self.corners[nb])
v2 = d.get_prediction_vector(False, self.corners[nd])
p1 = b.p
p2 = d.p
(p, _) = solve_linear(v1, v2, p1, p2)
point = add(b.p, v1, p)
cor = Corner([d.p, point, b.p], imgtime=b.time)
cor.compute_change(self.corners[index])
cor.is_predicted = True
if cor.similarity < self.avg_sim * 2:
new_corners[index] = cor
