def test_copy_landmarks_and_path():
img = mio.import_builtin_asset.lenna_png()
new_img = Image.init_blank(img.shape)
copy_landmarks_and_path(img, new_img)
assert new_img.path == img.path
assert new_img.landmarks.keys() == img.landmarks.keys()
assert new_img.landmarks is not img.landmarks
def test_copy_landmarks_and_path_with_no_lms_path():
img = Image.init_blank((5, 5))
new_img = Image.init_blank((5, 5))
copy_landmarks_and_path(img, new_img)
assert not hasattr(img, "path")
assert not hasattr(new_img, "path")
assert not img.has_landmarks
assert not new_img.has_landmarks
def as_colouredtrimesh(self, colours=None, copy=True):
"""
Converts this to a :map:`ColouredTriMesh`.
Parameters
----------
colours : ``(N, 3)`` `ndarray`, optional
The floating point RGB colour per vertex. If not given, grey will be
assigned to each vertex.
copy : `bool`, optional
If ``True``, the graph will be a copy.
Returns
-------
coloured : :map:`ColouredTriMesh`
A version of this mesh with per-vertex colour assigned.
"""
ctm = ColouredTriMesh(self.points,
trilist=self.trilist,
colours=colours,
copy=copy)
return copy_landmarks_and_path(self, ctm)
def test_copy_landmarks_and_path_returns_target():
img = mio.import_builtin_asset.lenna_png()
new_img = Image.init_blank(img.shape)
new_img_ret = copy_landmarks_and_path(img, new_img)
assert new_img_ret is new_img
