class TetVisual(CompoundVisual):
""" display a 3D mesh """
def __init__(self,
vertices=None,
simplices=None,
vertex_colors=None,
edge_color=None,
edge_width=1,
markers=None,
marker_colors=None,
marker_size=1,
**kwargs):
"""
a mesh visualization toolkit that can also plot edges or markers
Parameters
----------
Notes
-----
"""
self._mesh = MeshVisual()
self._edge = LineVisual()
self._edge_color = Color(edge_color)
self._marker = MarkersVisual()
#
self._vertex_colors = vertex_colors
self._update()
# initialize visuals
CompoundVisual.__init__(self, [self._mesh, self._edge, self._marker],
**kwargs)
# set default state, 'opaque', 'translucent' or 'additive'
self._mesh.set_gl_state(
preset="translucent",
blend=True,
depth_test=False,
cull_face=False,
polygon_offset_fill=True,
polygon_offset=(1, 1),
)
# end
self.freeze()
def _update(self):
"""
update parameters to visuals
"""
raise NotImplementedError()
@property
def edge_color(self):
""" get """
return self._edge_color
@edge_color.setter
def edge_color(self, edge_color):
""" set """
self._edge_color = Color(edge_color)
self._update()
def __init__(self,
vertices,
faces,
uniform_colour=(0.5, 0.5, 1.0),
uniform_opacity=1.0,
vertex_colours=None,
wireframe=False,
wireframe_offset=None):
"""
Creates a primitive visual based on
:class:`vispy.visuals.mesh.MeshVisual` class.
Parameters
----------
vertices : array_like
Vertices data.
faces : array_like
Faces data.
uniform_colour : array_like, optional
Uniform mesh colour.
uniform_opacity : numeric, optional
Uniform mesh opacity.
vertex_colours : array_like, optional
Per vertex varying colour.
wireframe : bool, optional
Use wireframe display.
wireframe_offset : array_like, optional
Wireframe offset.
Notes
-----
- `vertex_colours` argument takes precedence over `uniform_colour` if
provided.
- `uniform_opacity` argument will be stacked to `vertex_colours`
argument if the latter last dimension is equal to 3.
"""
self._wireframe = wireframe
self._wireframe_offset = wireframe_offset
mode = 'lines' if self._wireframe else 'triangles'
uniform_colour = ColorArray(uniform_colour, alpha=uniform_opacity).rgba
if vertex_colours is not None:
if vertex_colours.shape[-1] == 3:
vertex_colours = np.hstack(
(vertex_colours,
np.full((vertex_colours.shape[0], 1), uniform_opacity,
DEFAULT_FLOAT_DTYPE)))
else:
vertex_colours[..., 3] = uniform_opacity
MeshVisual.__init__(
self,
vertices,
faces,
vertex_colours,
None,
uniform_colour,
mode=mode)
def test_empty_mesh_wireframe():
"""Test that an empty mesh does not cause issues with wireframe filter"""
mesh = MeshVisual()
wf = WireframeFilter()
mesh.attach(wf)
# trigger update of filter
wf.enabled = True
class TetVisual(CompoundVisual):
""" display a 3D mesh """
def __init__(self,
vertices=None, simplices=None, vertex_colors=None,
edge_color=None, edge_width=1,
markers=None, marker_colors=None, marker_size=1,
**kwargs):
"""
a mesh visualization toolkit that can also plot edges or markers
Parameters
----------
Notes
-----
"""
self._mesh = MeshVisual()
self._edge = LineVisual()
self._edge_color = Color(edge_color)
self._marker = MarkersVisual()
#
self._vertex_colors = vertex_colors
self._update()
# initialize visuals
CompoundVisual.__init__(self,
[self._mesh, self._edge, self._marker],
**kwargs)
# set default state, 'opaque', 'translucent' or 'additive'
self._mesh.set_gl_state(preset='translucent',
blend=True,
depth_test=False,
cull_face=False,
polygon_offset_fill=True,
polygon_offset=(1, 1))
# end
self.freeze()
def _update(self):
"""
update parameters to visuals
"""
pass
@property
def edge_color(self):
""" get """
return self._edge_color
@edge_color.setter
def edge_color(self, edge_color):
""" set """
self._edge_color = Color(edge_color)
self._update()
def __init__(self,
mu,
cov,
std=2.,
cols=15,
rows=15,
depth=15,
subdivisions=3,
method='latitude',
vertex_colors=None,
face_colors=None,
color=(0.5, 0.5, 1, 1),
edge_color=None,
**kwargs):
mesh = create_sphere(rows,
cols,
depth,
radius=std,
subdivisions=subdivisions,
method=method)
# Take the spherical mesh and project through the covariance, like you do
# when sampling a multivariate gaussian.
# https://en.wikipedia.org/wiki/Multivariate_normal_distribution#Drawing_values_from_the_distribution
A = np.linalg.cholesky(cov)
verts = mesh.get_vertices()
verts2 = np.matmul(A[None, :, :], verts[:, :, None])
verts3 = verts2 + mu[None, :, None]
mesh.set_vertices(np.squeeze(verts3))
self._mesh = MeshVisual(vertices=mesh.get_vertices(),
faces=mesh.get_faces(),
vertex_colors=vertex_colors,
face_colors=face_colors,
color=color)
if edge_color:
self._border = MeshVisual(vertices=mesh.get_vertices(),
faces=mesh.get_edges(),
color=edge_color,
mode='lines')
else:
self._border = MeshVisual()
CompoundVisual.__init__(self, [self._mesh, self._border], **kwargs)
self.mesh.set_gl_state(polygon_offset_fill=True,
polygon_offset=(1, 1),
depth_test=True)
def __init__(self, data=None, level=None, vertex_colors=None,
face_colors=None, color=(0.5, 0.5, 1, 1), **kwargs):
self._data = None
self._level = level
self._vertex_colors = vertex_colors
self._face_colors = face_colors
self._color = Color(color)
# We distinguish between recomputing and just changing the visual
# properties - in the latter case we don't recompute the faces.
self._vertices_cache = None
self._faces_cache = None
self._recompute = True
self._update_meshvisual = True
MeshVisual.__init__(self, **kwargs)
if data is not None:
self.set_data(data)
def _update_mesh_visual(self):
if self._data is None or self._level is None:
return False
if self._recompute:
self._vertices_cache, self._faces_cache = isosurface(np.ascontiguousarray(self._data),
self._level)
self._recompute = False
self._update_meshvisual = True
if self._update_meshvisual:
MeshVisual.set_data(self,
vertices=self._vertices_cache,
faces=self._faces_cache,
vertex_colors=self._vertex_colors,
face_colors=self._face_colors,
color=self._color)
self._update_meshvisual = False
def _update_mesh_visual(self):
if self._data is None or self._level is None:
return False
if self._recompute:
self._vertices_cache, self._faces_cache = isosurface(
np.ascontiguousarray(self._data), self._level)
self._recompute = False
self._update_meshvisual = True
if self._update_meshvisual:
MeshVisual.set_data(self,
vertices=self._vertices_cache,
faces=self._faces_cache,
vertex_colors=self._vertex_colors,
face_colors=self._face_colors,
color=self._color)
self._update_meshvisual = False
def __init__(self,
data=None,
level=None,
vertex_colors=None,
face_colors=None,
color=(0.5, 0.5, 1, 1),
**kwargs):
self._data = None
self._level = level
self._vertex_colors = vertex_colors
self._face_colors = face_colors
self._color = Color(color)
# We distinguish between recomputing and just changing the visual
# properties - in the latter case we don't recompute the faces.
self._vertices_cache = None
self._faces_cache = None
self._recompute = True
self._update_meshvisual = True
MeshVisual.__init__(self, **kwargs)
if data is not None:
self.set_data(data)
def __init__(self, radius=1.0, directions=None, colors=None):
# Convert spherical to cartesian
points = np.array([util.tp2xyz(*x) for x in directions])
# Create mesh
import scipy.spatial
ch = scipy.spatial.ConvexHull(points)
mesh = MeshData(vertices=ch.points, faces=ch.simplices)
self._mesh = MeshVisual(vertices=mesh.get_vertices(),
faces=mesh.get_faces(),
vertex_colors=colors)
CompoundVisual.__init__(self, [self._mesh])
self.mesh.set_gl_state(depth_test=True)
def draw(self):
MeshVisual.draw(self)
if self._wireframe and self._wireframe_offset:
set_state(polygon_offset=self._wireframe_offset,
polygon_offset_fill=True)
def draw(self, transforms):
self._update_mesh_visual()
return MeshVisual.draw(self, transforms)
def _prepare_draw(self, view):
self._update_mesh_visual()
return MeshVisual._prepare_draw(self, view)
def draw(self, transforms):
self._update_mesh_visual()
return MeshVisual.draw(self, transforms)
def _prepare_draw(self, view):
self._update_mesh_visual()
return MeshVisual._prepare_draw(self, view)
def draw(self, transforms):
MeshVisual.draw(self, transforms)
if self.__wireframe and self.__wireframe_offset:
set_state(polygon_offset=self.__wireframe_offset,
polygon_offset_fill=True)