本文整理匯總了Python中menpo.transform.Homogeneous類的典型用法代碼示例。如果您正苦於以下問題：Python Homogeneous類的具體用法？Python Homogeneous怎麽用？Python Homogeneous使用的例子？那麽, 這裏精選的類代碼示例或許可以為您提供幫助。
在下文中一共展示了Homogeneous類的14個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_homogeneous_inverse
def test_homogeneous_inverse():
e = np.eye(3) * 2
e[2, 2] = 1
e_inv = np.eye(3) * 0.5
e_inv[2, 2] = 1
h = Homogeneous(e)
assert_allclose(h.pseudoinverse().h_matrix, e_inv)示例2: __init__
def __init__(self, image_shape):
# flip axis 0 and axis 1 so indexing is as expected
flip_xy = Homogeneous(np.array([[0, 1, 0],
[1, 0, 0],
[0, 0, 1]]))
# scale to get the units correct
scale = Scale(image_shape)
self.flip_and_scale = flip_xy.compose_before(scale)示例3: test_homogeneous_apply_batched
def test_homogeneous_apply_batched():
e = np.eye(3) * 2
p = np.random.rand(10, 2)
e[2, 2] = 1
e[:2, -1] = [2, 3]
h = Homogeneous(e)
p_applied = h.apply(p, batch_size=2)
p_manual = p * 2 + np.array([2, 3])
assert_allclose(p_applied, p_manual)示例4: test_homogeneous_apply
def test_homogeneous_apply():
e = np.eye(3) * 2
p = np.random.rand(10, 2)
e[2, 2] = 1
e[:2, -1] = [2, 3]
print e
h = Homogeneous(e)
p_applied = h.apply(p)
p_manual = p * 2 + np.array([2, 3])
assert_allclose(p_applied, p_manual)示例5: test_homog_compose_after_uniformscale
def test_homog_compose_after_uniformscale():
homog = Homogeneous(np.array([[0, 1, 0],
[1, 0, 0],
[0, 0, 1]]))
s = UniformScale(3, 2)
res = homog.compose_after(s)
assert(type(res) == Homogeneous)
assert_allclose(res.h_matrix, np.array([[0, 3, 0],
[3, 0, 0],
[0, 0, 1]]))示例6: test_homog_compose_before_nonuniformscale
def test_homog_compose_before_nonuniformscale():
homog = Homogeneous(np.array([[0, 1, 0],
[1, 0, 0],
[0, 0, 1]]))
s = NonUniformScale([3, 4])
res = homog.compose_before(s)
assert(type(res) == Homogeneous)
assert_allclose(res.h_matrix, np.array([[0, 3, 0],
[4, 0, 0],
[0, 0, 1]]))示例7: test_homog_compose_after_inplace_scale
def test_homog_compose_after_inplace_scale():
# this should be fine
homog = Homogeneous(np.array([[0, 1, 0],
[1, 0, 0],
[0, 0, 1]]))
s = Scale([3, 4])
homog.compose_after_inplace(s)
assert_allclose(homog.h_matrix, np.array([[0, 4, 0],
[3, 0, 0],
[0, 0, 1]]))示例8: test_homog_compose_after_alignment_rotation
def test_homog_compose_after_alignment_rotation():
homog = Homogeneous(np.array([[0, 1, 0],
[1, 0, 0],
[0, 0, 1]]))
source = PointCloud(np.array([[0, 1],
[1, 1],
[-1, -5],
[3, -5]]))
r = AlignmentRotation(source, source)
res = homog.compose_after(r)
assert(type(res) == Homogeneous)示例9: test_homog_compose_before_alignment_nonuniformscale
def test_homog_compose_before_alignment_nonuniformscale():
homog = Homogeneous(np.array([[0, 1, 0],
[1, 0, 0],
[0, 0, 1]]))
scale = UniformScale(2.5, 2)
source = PointCloud(np.array([[0, 1],
[1, 1],
[-1, -5],
[3, -5]]))
target = scale.apply(source)
# estimate the transform from source and target
s = AlignmentUniformScale(source, target)
res = homog.compose_before(s)
assert(type(res) == Homogeneous)示例10: test_homogeneous_from_vector_inplace
def test_homogeneous_from_vector_inplace():
h = Homogeneous(np.eye(3))
e = np.eye(3) * 2
e[2, 2] = 1
h._from_vector_inplace(e.ravel())
assert_allclose(h.h_matrix, e)示例11: test_homogeneous_as_vector
def test_homogeneous_as_vector():
e = np.eye(3) * 2
e[2, 2] = 1
h = Homogeneous(e)
assert_allclose(h.as_vector(), e.flatten())示例12: test_homogeneous_has_true_inverse
def test_homogeneous_has_true_inverse():
h = Homogeneous.init_identity(2)
assert h.has_true_inverse示例13: test_homogeneous_eye
def test_homogeneous_eye():
e = np.eye(3)
h = Homogeneous.init_identity(2)
assert_allclose(e, h.h_matrix)示例14: test_homogenous_set_h_matrix_raises_notimplementederror
def test_homogenous_set_h_matrix_raises_notimplementederror():
s = Homogeneous(np.eye(4))
with warnings.catch_warnings():
warnings.simplefilter("ignore")
with raises(NotImplementedError):
s.set_h_matrix(s.h_matrix)