def test_similarity_jacobian_2d():
params = np.ones(4)
t = DifferentiableSimilarity.init_identity(2).from_vector(params)
explicit_pixel_locations = np.array([[0, 0], [0, 1], [0, 2], [1, 0],
[1, 1], [1, 2]])
dW_dp = t.d_dp(explicit_pixel_locations)
assert_equal(dW_dp, sim_jac_solution2d)
def test_similarity_jacobian_2d():
params = np.ones(4)
t = DifferentiableSimilarity.identity(2).from_vector(params)
explicit_pixel_locations = np.array(
[[0, 0],
[0, 1],
[0, 2],
[1, 0],
[1, 1],
[1, 2]])
dW_dp = t.d_dp(explicit_pixel_locations)
assert_equal(dW_dp, sim_jac_solution2d)
def test_similarity_jacobian_2d_raises_dimensionalityerror():
params = np.ones(4)
t = DifferentiableSimilarity.init_identity(2).from_vector(params)
t.d_dp(np.ones([2, 3]))
def test_similarity_jacobian_3d_raises_dimensionalityerror():
t = DifferentiableSimilarity(np.eye(4))
t.d_dp(np.ones([2, 3]))
def test_similarity_jacobian_2d_raises_dimensionalityerror():
params = np.ones(4)
t = DifferentiableSimilarity.init_identity(2).from_vector(params)
t.d_dp(np.ones([2, 3]))
def test_similarity_jacobian_3d_raises_dimensionalityerror():
t = DifferentiableSimilarity(np.eye(4))
t.d_dp(np.ones([2, 3]))
