def test_sphere():
"""Test sphere function"""
md = create_sphere(rows=10, cols=20, radius=10, method='latitude')
radii = np.sqrt((md.get_vertices() ** 2).sum(axis=1))
assert_allclose(radii, np.ones_like(radii) * 10)
md = create_sphere(subdivisions=5, radius=10, method='ico')
radii = np.sqrt((md.get_vertices() ** 2).sum(axis=1))
assert_allclose(radii, np.ones_like(radii) * 10)
md = create_sphere(rows=20, cols=20, depth=20, radius=10, method='cube')
radii = np.sqrt((md.get_vertices() ** 2).sum(axis=1))
assert_allclose(radii, np.ones_like(radii) * 10)
def test_sphere():
"""Test sphere function"""
md = create_sphere(rows=10, cols=20, radius=10, method='latitude')
radii = np.sqrt((md.get_vertices()**2).sum(axis=1))
assert_allclose(radii, np.ones_like(radii) * 10)
md = create_sphere(subdivisions=5, radius=10, method='ico')
radii = np.sqrt((md.get_vertices()**2).sum(axis=1))
assert_allclose(radii, np.ones_like(radii) * 10)
md = create_sphere(rows=20, cols=20, depth=20, radius=10, method='cube')
radii = np.sqrt((md.get_vertices()**2).sum(axis=1))
assert_allclose(radii, np.ones_like(radii) * 10)
def __init__(self):
app.Canvas.__init__(self, keys='interactive', size=(800, 550))
self.meshes = []
self.rotation = AffineTransform()
# Generate some data to work with
global mdata
mdata = create_sphere(20, 40, 1.0)
# Mesh with pre-indexed vertices, uniform color
self.meshes.append(visuals.MeshVisual(meshdata=mdata, color='r'))
## Mesh with pre-indexed vertices, per-face color
## Because vertices are pre-indexed, we get a different color
## every time a vertex is visited, resulting in sharp color
## differences between edges.
verts = mdata.get_vertices(indexed='faces')
nf = verts.size//9
fcolor = np.ones((nf, 3, 4), dtype=np.float32)
fcolor[..., 0] = np.linspace(1, 0, nf)[:, np.newaxis]
fcolor[..., 1] = np.random.normal(size=nf)[:, np.newaxis]
fcolor[..., 2] = np.linspace(0, 1, nf)[:, np.newaxis]
mesh = visuals.MeshVisual(vertices=verts, face_colors=fcolor)
self.meshes.append(mesh)
## Mesh with unindexed vertices, per-vertex color
## Because vertices are unindexed, we get the same color
## every time a vertex is visited, resulting in no color differences
## between edges.
verts = mdata.get_vertices()
faces = mdata.get_faces()
nv = verts.size//3
vcolor = np.ones((nv, 4), dtype=np.float32)
vcolor[:, 0] = np.linspace(1, 0, nv)
vcolor[:, 1] = np.random.normal(size=nv)
vcolor[:, 2] = np.linspace(0, 1, nv)
self.meshes.append(visuals.MeshVisual(verts, faces, vcolor))
self.meshes.append(visuals.MeshVisual(verts, faces, vcolor,
shading='flat'))
self.meshes.append(visuals.MeshVisual(verts, faces, vcolor,
shading='smooth'))
# Lay out meshes in a grid
grid = (3, 3)
s = 300. / max(grid)
for i, mesh in enumerate(self.meshes):
x = 800. * (i % grid[0]) / grid[0] + 400. / grid[0] - 2
y = 800. * (i // grid[1]) / grid[1] + 400. / grid[1] + 2
transform = ChainTransform([STTransform(translate=(x, y),
scale=(s, s, 1)),
self.rotation])
tr_sys = visuals.transforms.TransformSystem(self)
tr_sys.visual_to_document = transform
mesh.tr_sys = tr_sys
self.show()
self.timer = app.Timer(connect=self.rotate)
self.timer.start(0.016)
def __init__(self):
app.Canvas.__init__(self, keys='interactive', size=(800, 550))
self.meshes = []
self.rotation = AffineTransform()
# Generate some data to work with
global mdata
mdata = create_sphere(20, 40, 1.0)
# Mesh with pre-indexed vertices, uniform color
self.meshes.append(visuals.MeshVisual(meshdata=mdata, color='r'))
## Mesh with pre-indexed vertices, per-face color
## Because vertices are pre-indexed, we get a different color
## every time a vertex is visited, resulting in sharp color
## differences between edges.
verts = mdata.get_vertices(indexed='faces')
nf = verts.size // 9
fcolor = np.ones((nf, 3, 4), dtype=np.float32)
fcolor[..., 0] = np.linspace(1, 0, nf)[:, np.newaxis]
fcolor[..., 1] = np.random.normal(size=nf)[:, np.newaxis]
fcolor[..., 2] = np.linspace(0, 1, nf)[:, np.newaxis]
mesh = visuals.MeshVisual(vertices=verts, face_colors=fcolor)
self.meshes.append(mesh)
## Mesh with unindexed vertices, per-vertex color
## Because vertices are unindexed, we get the same color
## every time a vertex is visited, resulting in no color differences
## between edges.
verts = mdata.get_vertices()
faces = mdata.get_faces()
nv = verts.size // 3
vcolor = np.ones((nv, 4), dtype=np.float32)
vcolor[:, 0] = np.linspace(1, 0, nv)
vcolor[:, 1] = np.random.normal(size=nv)
vcolor[:, 2] = np.linspace(0, 1, nv)
self.meshes.append(visuals.MeshVisual(verts, faces, vcolor))
self.meshes.append(
visuals.MeshVisual(verts, faces, vcolor, shading='flat'))
self.meshes.append(
visuals.MeshVisual(verts, faces, vcolor, shading='smooth'))
# Lay out meshes in a grid
grid = (3, 3)
s = 300. / max(grid)
for i, mesh in enumerate(self.meshes):
x = 800. * (i % grid[0]) / grid[0] + 400. / grid[0] - 2
y = 800. * (i // grid[1]) / grid[1] + 400. / grid[1] + 2
transform = ChainTransform([
STTransform(translate=(x, y), scale=(s, s, 1)), self.rotation
])
tr_sys = visuals.transforms.TransformSystem(self)
tr_sys.visual_to_document = transform
mesh.tr_sys = tr_sys
self.show()
self.timer = app.Timer(connect=self.rotate)
self.timer.start(0.016)
def test_mesh_normals_length_scalar():
size = (45, 40)
with TestingCanvas(size=size, bgcolor="k") as c:
v = c.central_widget.add_view(border_width=0)
v.camera = 'arcball'
# Create visual.
mdata = create_sphere(radius=1.0)
mesh = scene.visuals.Mesh(meshdata=mdata,
shading=None,
color=(0.1, 0.1, 0.1, 1.0))
v.add(mesh)
length = 0.5
normals_0_5 = scene.visuals.MeshNormals(mdata,
color=(1, 0, 0),
length=length)
normals_0_5.parent = mesh
rendered_length_0_5 = c.render()
normals_0_5.parent = None
length = 1.0
normals_1_0 = scene.visuals.MeshNormals(mdata,
color=(1, 0, 0),
length=length)
normals_1_0.parent = mesh
rendered_length_1_0 = c.render()
normals_1_0.parent = None
# There should be more red pixels with the longer normals.
n_pixels_0_5 = np.sum(rendered_length_0_5[..., 0] > 128)
n_pixels_1_0 = np.sum(rendered_length_1_0[..., 0] > 128)
assert n_pixels_1_0 > n_pixels_0_5
def test_mesh_shading_filter(shading):
size = (45, 40)
with TestingCanvas(size=size, bgcolor="k") as c:
v = c.central_widget.add_view(border_width=0)
# Create visual
mdata = create_sphere(20, 40, radius=20)
mesh = scene.visuals.Mesh(meshdata=mdata,
shading=shading,
color=(0.1, 0.3, 0.7, 0.9))
v.add(mesh)
from vispy.visuals.transforms import STTransform
mesh.transform = STTransform(translate=(20, 20))
mesh.transforms.scene_transform = STTransform(scale=(1, 1, 0.01))
rendered = c.render()[..., 0] # R channel only
if shading in ("flat", "smooth"):
# there should be a gradient, not solid colors
assert np.unique(rendered).size >= 28
# sphere/circle starts "dark" on the left and gets brighter
# then hits a bright spot and decreases after
invest_row = rendered[23].astype(np.float64)
# overall, we should be increasing brightness up to a "bright spot"
assert (np.diff(invest_row[:29]) >= -1).all()
else:
assert np.unique(rendered).size == 2
def test_mesh_shading_filter_enabled(shading):
size = (45, 40)
with TestingCanvas(size=size, bgcolor="k") as c:
v = c.central_widget.add_view(border_width=0)
v.camera = 'arcball'
mdata = create_sphere(20, 30, radius=1)
mesh = scene.visuals.Mesh(meshdata=mdata,
shading=None,
color=(0.2, 0.3, 0.7, 1.0))
shading_filter = ShadingFilter(shading=shading)
mesh.attach(shading_filter)
v.add(mesh)
shading_filter.enabled = False
rendered_without_shading = c.render()
shading_filter.enabled = True
rendered_with_shading = c.render()
if shading is None:
# There should be no shading applied, regardless of the value of
# `enabled`.
assert np.allclose(rendered_without_shading, rendered_with_shading)
else:
# The result should be different with shading applied.
assert not np.allclose(rendered_without_shading,
rendered_with_shading)
def generate_skeleton(
truncated_icosahedron_vertices_coordinates,
edges_between_vertices,
sphere_radius=0.4,
cylinder_radius=0.1,
sphere_rows=10,
sphere_cols=10,
cylinder_rows=10,
cylinder_cols=10,
color=(1, 0.6, 0)):
spheres_geometry = []
for i, vertex_coordinate in enumerate(truncated_icosahedron_vertices_coordinates):
new_mesh = geometry.create_sphere(sphere_rows, sphere_cols, radius=sphere_radius)
new_mesh.set_vertices(new_mesh.get_vertices() + vertex_coordinate, reset_normals=False)
spheres_geometry.append(new_mesh)
cylinders_geometry = []
for first_vertex_index, second_vertex_index in edges_between_vertices:
first_vertex_coordinate = truncated_icosahedron_vertices_coordinates[first_vertex_index]
second_vertex_coordinate = truncated_icosahedron_vertices_coordinates[second_vertex_index]
cylinder = generate_cylinder_geometry(first_vertex_coordinate, second_vertex_coordinate,
cylinder_rows, cylinder_cols, cylinder_radius, sphere_radius)
cylinders_geometry.append(cylinder)
final_object_vertices, final_object_faces = append_geometries(np.empty([0, 3], np.float32),
np.empty([0, 3], np.uint32),
spheres_geometry)
final_object_vertices, final_object_faces = append_geometries(final_object_vertices, final_object_faces,
cylinders_geometry)
return scene.visuals.Mesh(vertices=final_object_vertices, faces=final_object_faces, color=color, shading='smooth')
def updateView(self, param):
if param.dict["subdiv"] != param.dict["subdiv_old"]:
subdiv = param.dict['subdiv']
md = create_sphere(radius=1, subdivisions=subdiv, method='ico')
verts = md.get_vertices()
print(verts.shape)
faces = md.get_faces()
gamma, phi = xyz_to_gp(verts)
data = np.cos(5*gamma)+np.cos(phi*4)/2.
param.dict["data"] = data
self.sph.mesh.set_data(vertices=verts, faces=faces,
vertex_values=data)
param.dict["subdiv_old"] = param.dict["subdiv"]
self.sph.mesh.cmap = param.dict['colormap']
self.cbar_widget.cmap = param.dict['colormap']
self.cbar_widget.nband = param.dict['nbr_band']
self.cbar_widget.banded = param.dict['banded']
v_min = 0.0
v_max = 1.0
if param.dict["data"] is not None:
v_min = np.min(param.dict["data"], 0)
v_max = np.max(param.dict["data"], 0)
self.cbar_widget.clim = (v_min, v_max)
self.sph.mesh.nband = param.dict['nbr_band']
self.sph.mesh.banded = param.dict['banded']
def add_chan(self, chan, color=CHAN_COLOR, chan_colors=None,
values=None, limits_c=None, colormap='coolwarm',
shift=(0, 0, 0)):
"""Add channels to visualization
Parameters
----------
chan : instance of Channels
channels to plot
color : tuple
3-, 4-element tuple, representing RGB and alpha, between 0 and 1
chan_colors : ndarray
array with colors for each channel
values : ndarray
array with values for each channel
limits_c : tuple of 2 floats, optional
min and max values to normalize the color
colormap : str
one of the colormaps in vispy
shift : tuple of 3 floats
shift all electrodes by this amount (unit and order depend on
xyz coordinates of the electrodes)
"""
# larger if colors are meaningful
if values is not None:
meshdata = create_sphere(radius=3, method='ico')
else:
meshdata = create_sphere(radius=1.5, method='ico')
chan_colors, limits = _prepare_chan_colors(color, chan_colors, values,
limits_c, colormap)
# store values in case we update the values
self._chan_colormap = colormap
self._chan_limits_c = limits
for i, one_chan in enumerate(chan.chan):
if chan_colors.ndim == 2:
chan_color = chan_colors[i, :]
else:
chan_color = chan_colors
mesh = SimpleMesh(meshdata, chan_color)
mesh.transform = STTransform(translate=one_chan.xyz + shift)
self._plt.view.add(mesh)
self._chan.append(mesh)
def createsphere(self, nrows=20, ncols=20, radius=1.0):
if not self.mesh:
mdata = create_sphere(nrows, ncols, radius)
self.mesh = visuals.Mesh(meshdata=mdata,
vertex_colors='black',
face_colors=(1.0, 0.0, 0.0, 1.0),
color=(0.5, 0.5, 0.5, .75))
self.view.add(self.mesh)
else:
print(dir(self.mesh))
def test_mesh_normals_length_array(primitive):
size = (45, 40)
with TestingCanvas(size=size, bgcolor="k") as c:
v = c.central_widget.add_view(border_width=0)
v.camera = 'arcball'
v.camera.fov = 90
# Create visual.
meshdata = create_sphere(radius=1.0)
mesh = scene.visuals.Mesh(meshdata=meshdata,
shading=None,
color=(0.1, 0.1, 0.1, 1.0))
v.add(mesh)
if primitive == 'face':
n_normals = len(meshdata.get_faces())
elif primitive == 'vertex':
n_normals = len(meshdata.get_vertices())
lengths_0_5 = np.full(n_normals, 0.5, dtype=float)
normals_0_5 = scene.visuals.MeshNormals(meshdata,
primitive=primitive,
color=(1, 0, 0),
length=lengths_0_5)
normals_0_5.parent = mesh
rendered_lengths_0_5 = c.render()
normals_0_5.parent = None
lengths_1_0 = np.full(n_normals, 1.0, dtype=float)
normals_1_0 = scene.visuals.MeshNormals(meshdata,
primitive=primitive,
color=(1, 0, 0),
length=lengths_1_0)
normals_1_0.parent = mesh
rendered_lengths_1_0 = c.render()
normals_1_0.parent = None
# There should be more red pixels with the longer normals.
n_pixels_0_5 = np.sum(rendered_lengths_0_5[..., 0] > 128)
n_pixels_1_0 = np.sum(rendered_lengths_1_0[..., 0] > 128)
assert n_pixels_1_0 > n_pixels_0_5
lengths_ramp = np.linspace(0.5, 1.0, n_normals, dtype=float)
normals_ramp = scene.visuals.MeshNormals(meshdata,
primitive=primitive,
color=(1, 0, 0),
length=lengths_ramp)
normals_ramp.parent = mesh
rendered_lengths_ramp = c.render()
normals_ramp.parent = None
# With the normals lengths from a ramp in [0.5, 1.0], there should be
# more red pixels than with all normals of length 0.5 and less than
# with all normals of length 1.0.
n_pixels_ramp = np.sum(rendered_lengths_ramp[..., 0] > 128)
assert n_pixels_0_5 < n_pixels_ramp < n_pixels_1_0
def __init__(self, position, radius, color, **kwargs):
sphere_mesh = geometry.create_sphere(
rows=int(radius * 30),
cols=int(radius * 30),
radius=radius,
**kwargs
)
sphere_buffer, faces = self.make_buffer(sphere_mesh)
super(self.__class__, self).__init__(sphere_buffer, faces=faces, position=position, color=color)
self.program['u_shininess'] = 16.0
self.program['u_specular_color'] = self.color[:3]
def __init__(self, position, radius, color, **kwargs):
sphere_mesh = geometry.create_sphere(rows=int(radius * 30),
cols=int(radius * 30),
radius=radius,
**kwargs)
sphere_buffer, faces = self.make_buffer(sphere_mesh)
super(self.__class__, self).__init__(sphere_buffer,
faces=faces,
position=position,
color=color)
self.program['u_shininess'] = 16.0
self.program['u_specular_color'] = self.color[:3]
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 test_mesh_normals_length_scale():
size = (45, 40)
with TestingCanvas(size=size, bgcolor="k") as c:
v = c.central_widget.add_view(border_width=0)
v.camera = 'arcball'
# Create visual.
meshdata = create_sphere(radius=1.0)
mesh = scene.visuals.Mesh(meshdata=meshdata,
shading=None,
color=(0.1, 0.1, 0.1, 1.0))
v.add(mesh)
length = 1.0
length_scale_up = 2.0
length_scale_down = 0.5
normals = scene.visuals.MeshNormals(meshdata,
color=(1, 0, 0),
length=length)
normals.parent = mesh
rendered_length_default = c.render()
normals.parent = None
normals_scaled_up = scene.visuals.MeshNormals(
meshdata,
color=(1, 0, 0),
length=length,
length_scale=length_scale_up)
normals_scaled_up.parent = mesh
rendered_length_scaled_up = c.render()
normals_scaled_up.parent = None
normals_scaled_down = scene.visuals.MeshNormals(
meshdata,
color=(1, 0, 0),
length=length,
length_scale=length_scale_down)
normals_scaled_down.parent = mesh
rendered_length_scaled_down = c.render()
normals_scaled_down.parent = None
# There should be more red pixels with the scaled-up normals and less
# with the ones scaled down.
n_pixels_default = np.sum(rendered_length_default[..., 0] > 128)
n_pixels_scaled_up = np.sum(rendered_length_scaled_up[..., 0] > 128)
n_pixels_scaled_down = np.sum(
rendered_length_scaled_down[..., 0] > 128)
assert n_pixels_scaled_down < n_pixels_default < n_pixels_scaled_up
def create_sphere(self, point, time_point, radius):
mdata = geometry.create_sphere(64, 64, radius=radius)
color = point["color"]
if isinstance(color, type(None)):
color = "gray"
sphere = scene.visuals.Mesh(meshdata=mdata, shading="flat", color=color)
t = visuals.transforms.MatrixTransform()
sphere.transform = t
sphere.transform.translate(point.traj.loc[time_point, self.coords].values)
self.points[point.idx] = (sphere, point)
self.view.add(sphere)
return sphere
def test_mesh_wireframe_filter():
size = (45, 40)
with TestingCanvas(size=size, bgcolor="k") as c:
v = c.central_widget.add_view(border_width=0)
# Create visual
mdata = create_sphere(20, 40, radius=20)
mesh = scene.visuals.Mesh(meshdata=mdata,
shading=None,
color=(0.1, 0.3, 0.7, 0.9))
wireframe_filter = WireframeFilter(color='red')
mesh.attach(wireframe_filter)
v.add(mesh)
from vispy.visuals.transforms import STTransform
mesh.transform = STTransform(translate=(20, 20))
mesh.transforms.scene_transform = STTransform(scale=(1, 1, 0.01))
rendered_with_wf = c.render()
assert np.unique(rendered_with_wf[..., 0]).size >= 50
wireframe_filter.enabled = False
rendered_wo_wf = c.render()
# the result should be completely different
# assert not allclose
pytest.raises(AssertionError, np.testing.assert_allclose,
rendered_with_wf, rendered_wo_wf)
wireframe_filter.enabled = True
wireframe_filter.wireframe_only = True
rendered_with_wf_only = c.render()
# the result should be different from the two cases above
pytest.raises(AssertionError, np.testing.assert_allclose,
rendered_with_wf_only, rendered_with_wf)
pytest.raises(AssertionError, np.testing.assert_allclose,
rendered_with_wf_only, rendered_wo_wf)
wireframe_filter.enabled = True
wireframe_filter.wireframe_only = False
wireframe_filter.faces_only = True
rendered_with_faces_only = c.render()
# the result should be different from the cases above
pytest.raises(AssertionError, np.testing.assert_allclose,
rendered_with_faces_only, rendered_with_wf)
pytest.raises(AssertionError, np.testing.assert_allclose,
rendered_with_faces_only, rendered_wo_wf)
pytest.raises(AssertionError, np.testing.assert_allclose,
rendered_with_faces_only, rendered_with_wf_only)
def __init__(self, data, istep=1, scale=1., colors='y', R=0.01):
"""
Initialize an NbodyCanvas
data : 2d array, (Ntimesteps, Nparticles*9)
position(3), velocity(3), and acceleration(9) of each particle
istep : int
advance timestep by this amount
scale : float
scale length
colors : list of Nparticle size or 1
list of matplotlib colors
"""
scene.SceneCanvas.__init__(self, keys='interactive')
view = self.central_widget.add_view()
view.set_camera('turntable', mode='ortho', up='z', distance=1.0,
azimuth=30., elevation=60.)
self.view = view
# Add a 3D axis to keep us oriented
self.axis = scene.visuals.XYZAxis(parent=view.scene)
self.timer = app.Timer(0.1, connect=self.on_timer, start=True)
# create mesh of a phere
self.mdata = create_sphere(20, 40, R)
self.i = 0
self.istep = istep
self.scale = scale
self.meshes = []
self.d = data
self.np = self.d.shape[1]/9 # number of particles
self.nt = self.d.shape[0] # number of timesteps
colors = list(colors)
if len(colors) == 1:
colors *= self.np
else:
assert len(colors) == self.np, "invalid number of colors"
# add particles for the first time
for (x, y, z), c in\
zip(np.vstack(np.split(self.d[self.i],self.np))[:,:3], colors):
m = scene.visuals.Mesh(
meshdata=self.mdata, color=c, shading='smooth')
m.transform = scene.transforms.AffineTransform()
m.transform.translate([x/self.scale, y/self.scale, z/self.scale])
self.view.add(m)
self.meshes.append(m)
def test_mesh_shading_filter_colors(attribute):
size = (45, 40)
with TestingCanvas(size=size, bgcolor="k") as c:
base_color_white = (1.0, 1.0, 1.0, 1.0)
overlay_color_red = (1.0, 0.0, 0.0, 1.0)
v = c.central_widget.add_view(border_width=0)
v.camera = 'arcball'
mdata = create_sphere(20, 30, radius=1)
mesh = scene.visuals.Mesh(meshdata=mdata, color=base_color_white)
v.add(mesh)
shading_filter = ShadingFilter(
shading='smooth',
# Set the light source on the side of
# and around the camera to get a clearly
# visible reflection.
light_dir=(-5, -5, 5),
# Activate all illumination types as
# white light but reduce the intensity
# to prevent saturation.
ambient_light=0.3,
diffuse_light=0.3,
specular_light=0.3,
# Get a wide highlight.
shininess=4)
mesh.attach(shading_filter)
rendered_white = c.render()
setattr(shading_filter, attribute, overlay_color_red)
rendered_red = c.render()
# The results should be different.
assert not np.allclose(rendered_white, rendered_red)
# There should be an equal amount of all colors in the white rendering.
color_count_white = rendered_white.sum(axis=(0, 1))
r, g, b, _ = color_count_white
assert r == g and r == b
color_count_red = rendered_red.sum(axis=(0, 1))
# There should be more red in the red-colored rendering.
r, g, b, _ = color_count_red
assert r > g and r > b
def test_mesh_normals_length_method(length_method):
size = (45, 40)
with TestingCanvas(size=size, bgcolor="k") as c:
v = c.central_widget.add_view(border_width=0)
v.camera = 'arcball'
# Create visual.
meshdata = create_sphere(radius=1.0)
mesh = scene.visuals.Mesh(meshdata=meshdata,
shading=None,
color=(0.1, 0.1, 0.1, 1.0))
v.add(mesh)
# The code below should not raise.
# XXX(asnt): Not sure how to better test `length_method`.
normals = scene.visuals.MeshNormals(meshdata, color=(1, 0, 0),
length_method=length_method)
normals.parent = mesh
_ = c.render()
def __init__(self,
radius=1.0,
cols=30,
rows=30,
depth=30,
subdivisions=3,
method='latitude',
vertex_colors=None,
face_colors=None,
color=(0.5, 0.5, 1, 1),
edge_color=None,
**kwargs):
EventEmitter.__init__(self)
self._origin = np.array([0, 0, 0])
self._pos = np.array([0, 0, 0])
self._scale_factor = scale
mesh = create_sphere(cols,
rows,
depth,
radius=radius,
subdivisions=subdivisions,
method=method)
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 create_sphere(self, point, time_point, radius):
mdata = geometry.create_sphere(64, 64, radius=radius)
color = point['color']
if isinstance(color, type(None)):
color = "gray"
sphere = scene.visuals.Mesh(meshdata=mdata,
shading='flat',
color=color)
t = visuals.transforms.MatrixTransform()
sphere.transform = t
sphere.transform.translate(point.traj.loc[time_point,
self.coords].values)
self.points[point.idx] = (sphere, point)
self.view.add(sphere)
return sphere
def test_mesh_normals():
size = (45, 40)
with TestingCanvas(size=size, bgcolor="k") as c:
v = c.central_widget.add_view(border_width=0)
v.camera = 'arcball'
# Create visual.
mdata = create_sphere(radius=1.0)
mesh = scene.visuals.Mesh(meshdata=mdata,
shading=None,
color=(0.1, 0.1, 0.1, 1.0))
v.add(mesh)
rendered_without_normals = c.render()
# The color should be of low intensity.
assert np.all((rendered_without_normals[..., 0:3]) < 32)
face_normals = scene.visuals.MeshNormals(mdata,
primitive="face",
color=(1, 0, 0))
face_normals.parent = mesh
rendered_with_face_normals = c.render()
face_normals.parent = None
# There should be some pixels with brighter red.
assert np.sum(rendered_with_face_normals[..., 0] > 128) > 64
pytest.raises(AssertionError, np.testing.assert_allclose,
rendered_without_normals, rendered_with_face_normals)
vertex_normals = scene.visuals.MeshNormals(mdata,
primitive="vertex",
color=(0, 1, 0))
vertex_normals.parent = mesh
rendered_with_vertex_normals = c.render()
vertex_normals.parent = None
# There should be some pixels with brighter green.
assert np.sum(rendered_with_vertex_normals[..., 1] > 128) > 64
pytest.raises(AssertionError, np.testing.assert_allclose,
rendered_without_normals, rendered_with_vertex_normals)
pytest.raises(AssertionError, np.testing.assert_allclose,
rendered_with_face_normals, rendered_with_vertex_normals)
def test_mesh_shading_filter(shading):
size = (45, 40)
with TestingCanvas(size=size, bgcolor="k") as c:
v = c.central_widget.add_view(border_width=0)
v.camera = 'arcball'
mdata = create_sphere(20, 30, radius=1)
mesh = scene.visuals.Mesh(meshdata=mdata,
shading=shading,
color=(0.2, 0.3, 0.7, 1.0))
v.add(mesh)
rendered = c.render()[..., 0] # R channel only
if shading in ("flat", "smooth"):
# there should be a gradient, not solid colors
assert np.unique(rendered).size >= 28
# sphere/circle is "dark" on the right and gets brighter as you
# move to the left, then hits a bright spot and decreases after
invest_row = rendered[34].astype(np.float64)
# overall, we should be increasing brightness up to a "bright spot"
assert (np.diff(invest_row[34:60]) <= 0).all()
else:
assert np.unique(rendered).size == 2
def __init__(self):
app.Canvas.__init__(self, keys='interactive', size=(800, 600))
brain = np.load(load_data_file('brain/brain.npz', force_download='2014-09-04'))
#brain1 = scipy.io.loadmat('NewBESATri.mat')
brain2 = brain1['t']
from numpy import genfromtxt
my_data = genfromtxt('BESACOORD61.csv', delimiter=',')
dataTest = brain['vertex_buffer']
color = dataTest['a_color']
color = color[750:1500]
facesTest = brain['index_buffer']
n = 750
ps = 100
data = np.zeros(n, [('a_position', np.float32, 3),
('a_normal', np.float32, 3),
('a_color', np.float32, 3)])
#('a_size', np.float32, 1)])
import scipy.spatial
tri = scipy.spatial.Delaunay(my_data) # points: np.array() of 3d points
convex = tri.convex_hull
indices = tri.simplices
vertices = my_data[indices]
data['a_position'] = my_data
data['a_color'] = np.random.uniform(0, 1, (n, 3))
faces = brain2
faces = faces-1
vertices = my_data
norm = np.zeros( vertices.shape, dtype=vertices.dtype )
#Create an indexed view into the vertex array using the array of three indices for triangles
tris = vertices[faces]
#Calculate the normal for all the triangles, by taking the cross product of the vectors v1-v0, and v2-v0 in each triangle
n = np.cross( tris[::,1 ] - tris[::,0] , tris[::,2 ] - tris[::,0] )
# n is now an array of normals per triangle. The length of each normal is dependent the vertices,
# we need to normalize these, so that our next step weights each normal equally.
lens = np.sqrt( n[:,0]**2 + n[:,1]**2 + n[:,2]**2 )
n[:,0] /= lens
n[:,1] /= lens
n[:,2] /= lens
norm[ faces[:,0] ] += n
norm[ faces[:,1] ] += n
norm[ faces[:,2] ] += n
''' Normalize a numpy array of 3 component vectors shape=(n,3) '''
lens = np.sqrt( norm[:,0]**2 + norm[:,1]**2 + norm[:,2]**2 )
norm[:,0] /= lens
norm[:,1] /= lens
norm[:,2] /= lens
data['a_normal'] = norm #np.random.uniform(0, 1.0, (n, 3)) #10, 3, 3
#data['a_size'] = np.random.uniform(5*ps, 10*ps, n)
u_linewidth = 1.0
u_antialias = 1.0
brain2 = np.uint32(brain2)
convex = np.uint32(convex)
data = data
faces = brain2-1
#data = dataTest
#faces = facesTest
self.meshes = []
self.rotation = MatrixTransform()
# Generate some data to work with
global mdata
mdata = create_sphere(20, 40, 1.0)
#mdata['_faces'] =faces
#mdata['_vertices']=data
# Mesh with pre-indexed vertices, uniform color
meshData=vispy.geometry.MeshData(vertices=data['a_position'], faces=None, edges=None, vertex_colors=None, face_colors=None)
meshData._vertices = data['a_position']
meshData._faces = faces
#meshData._face_colors = data['a_color']
#meshData._vertex_colors = data['a_color']
self.meshes.append(visuals.MeshVisual(meshdata=meshData, color='b'))
#for mesh in self.meshes:
# mesh.draw()
# Mesh with pre-indexed vertices, per-face color
# Because vertices are pre-indexed, we get a different color
# every time a vertex is visited, resulting in sharp color
# differences between edges.
tris = vertices[faces]
verts = data['a_position'] #mdata.get_vertices(indexed='faces')
nf = 1496#verts.size//9
fcolor = np.ones((nf, 3, 4), dtype=np.float32)
fcolor[..., 0] = np.linspace(1, 0, nf)[:, np.newaxis]
fcolor[..., 1] = np.random.normal(size=nf)[:, np.newaxis]
fcolor[..., 2] = np.linspace(0, 1, nf)[:, np.newaxis]
#fcolor = data['a_color']
mesh = visuals.MeshVisual(vertices=tris, face_colors=fcolor)
self.meshes.append(mesh)
# Mesh with unindexed vertices, per-vertex color
# Because vertices are unindexed, we get the same color
# every time a vertex is visited, resulting in no color differences
# between edges.
#verts = mdata.get_vertices()
faces = faces #mdata.get_faces()
nv = verts.size//3
vcolor = np.ones((nv, 4), dtype=np.float32)
vcolor[:, 0] = np.linspace(.6, .6, nv)
vcolor[:, 1] = np.random.normal(size=nv)
vcolor[:, 2] = np.linspace(0.6, .6, nv)
self.meshes.append(visuals.MeshVisual(verts, faces, vcolor))
self.meshes.append(visuals.MeshVisual(verts, faces, vcolor,
shading='flat'))
#
self.meshes.append(visuals.MeshVisual(verts, faces, vcolor,
shading='smooth'))
# Lay out meshes in a grid
grid = (1, 1)
s = 300. / max(grid)
#s = 500
for i, mesh in enumerate(self.meshes):
x = 800. * (i % grid[0]) / grid[0] / grid[0] - 2
y = 800. * (i // grid[1]) / grid[1] / grid[1] + 2
transform = ChainTransform([STTransform(translate=(x, y),
scale=(s, s, s)),
self.rotation])
mesh.transform = transform
mesh.transforms.scene_transform = STTransform(scale=(.01, .01, .00001))
self.show()
self.timer = app.Timer(connect=self.rotate)
self.timer.start(0.00016)
vmax=8., under='gray', over='red')
sc.add_to_subplot(s_obj_data, row=1, col=2, title='Color sources using data')
cb_data = ColorbarObj(s_obj_data, cblabel='Random data', border=False,
**CBAR_STATE)
sc.add_to_subplot(cb_data, row=1, col=3, width_max=60)
"""Display only sources in the left hemisphere
"""
s_obj_left = SourceObj('S_left', xyz, color='#ab4642')
s_obj_left.set_visible_sources('left')
sc.add_to_subplot(s_obj_left, row=2, col=0,
title='Display sources in left hemisphere')
"""Create a sphere using VisPy
"""
sphere = create_sphere(rows=100, cols=100, radius=50)
sphere_vertices = sphere.get_vertices()
"""Force sources to fit on the vertices of the sphere. Then, we color sources
according to the hemisphere (left=purple, right=yellow)
"""
s_obj_fit = SourceObj('Fit', xyz, symbol='diamond')
s_obj_fit.fit_to_vertices(sphere_vertices)
df_tal = s_obj_fit.analyse_sources(roi_obj='talairach')
s_obj_fit.color_sources(analysis=df_tal, color_by='hemisphere',
roi_to_color={'Left': 'purple', 'Right': 'yellow'})
sc.add_to_subplot(s_obj_fit, row=2, col=1,
title="Force sources to fit on a sphere")
"""Use the same sphere to display only sources that are inside
"""
def __init__(self):
app.Canvas.__init__(self, keys='interactive')
self.meshes = []
self.rotation = AffineTransform()
# Generate some data to work with
global mdata
mdata = create_sphere(20, 40, 1.0)
# Mesh with pre-indexed vertices, uniform color
verts = mdata.get_vertices(indexed='faces')
mesh = ModularMesh(pos=verts, color=(1, 0, 0, 1))
self.meshes.append(mesh)
# Mesh with pre-indexed vertices, per-face color
# Because vertices are pre-indexed, we get a different color
# every time a vertex is visited, resulting in sharp color
# differences between edges.
nf = verts.size//9
fcolor = np.ones((nf, 3, 4), dtype=np.float32)
fcolor[..., 0] = np.linspace(1, 0, nf)[:, np.newaxis]
fcolor[..., 1] = np.random.normal(size=nf)[:, np.newaxis]
fcolor[..., 2] = np.linspace(0, 1, nf)[:, np.newaxis]
mesh = ModularMesh(pos=verts, color=fcolor)
self.meshes.append(mesh)
# Mesh with unindexed vertices, per-vertex color
# Because vertices are unindexed, we get the same color
# every time a vertex is visited, resulting in no color differences
# between edges.
verts = mdata.get_vertices()
faces = mdata.get_faces()
nv = verts.size//3
vcolor = np.ones((nv, 4), dtype=np.float32)
vcolor[:, 0] = np.linspace(1, 0, nv)
vcolor[:, 1] = np.random.normal(size=nv)
vcolor[:, 2] = np.linspace(0, 1, nv)
mesh = ModularMesh(pos=verts, faces=faces, color=vcolor)
self.meshes.append(mesh)
# Mesh colored by vertices + grid contours
mesh = ModularMesh(pos=verts, faces=faces)
mesh.color_components = [VertexColorComponent(vcolor),
GridContourComponent(spacing=(0.13, 0.13,
0.13))]
self.meshes.append(mesh)
# Phong shaded mesh
mesh = ModularMesh(pos=verts, faces=faces)
normal_comp = VertexNormalComponent(mdata)
mesh.color_components = [VertexColorComponent(vcolor),
GridContourComponent(spacing=(0.1, 0.1, 0.1)),
ShadingComponent(normal_comp,
lights=[((-1, 1, -1),
(1.0, 1.0, 1.0))],
ambient=0.2)]
self.meshes.append(mesh)
# Phong shaded mesh, flat faces
mesh = ModularMesh(pos=mdata.get_vertices(indexed='faces'))
normal_comp = VertexNormalComponent(mdata, smooth=False)
mesh.color_components = [
VertexColorComponent(vcolor[mdata.get_faces()]),
GridContourComponent(spacing=(0.1, 0.1, 0.1)),
ShadingComponent(normal_comp, lights=[((-1, 1, -1),
(1.0, 1.0, 1.0))],
ambient=0.2)]
self.meshes.append(mesh)
# Lay out meshes in a grid
grid = (3, 3)
s = 300. / max(grid)
for i, mesh in enumerate(self.meshes):
x = 800. * (i % grid[0]) / grid[0] + 400. / grid[0] - 2
y = 800. * (i // grid[1]) / grid[1] + 400. / grid[1] + 2
mesh.transform = ChainTransform([STTransform(translate=(x, y),
scale=(s, s, 1)),
self.rotation])
mesh.tr_sys = visuals.transforms.TransformSystem(self)
mesh.tr_sys.visual_to_document = mesh.transform
self.size = (800, 800)
self.show()
self.timer = app.Timer(connect=self.rotate)
self.timer.start(0.016)
def plot_secant_crossings(self, radius=None, **kwargs):
crossings = self.raw_crossings(**kwargs)
if radius is None:
radii = self.points - np.average(self.points, axis=0)
radius = 2.5 * np.max(np.sqrt(np.sum(radii**2, axis=1)))
unique_crossings = []
crossings_done = set()
for crossing in crossings:
if crossing[0] in crossings_done:
continue
crossings_done.add(crossing[1])
unique_crossings.append(crossing)
points = self.points
lines = []
for i, crossing in enumerate(unique_crossings):
start1, end1, height1, sign1 = crossing
for other_crossing in unique_crossings[i+1:]:
start2, end2, height2, sign2 = other_crossing
if not (start2 > start1 and end1 > start2 and end2 > end1):
continue
start_point1 = points[int(start1)]
start_point1 += (start1 - int(start1)) * (
points[int(start1) + 1] - points[int(start1)])
segment_point1s = points[int(start1) + 1:int(start2) + 1]
end_point1 = points[int(start2)]
end_point1 += (start2 - int(start2)) * (
points[int(start2) + 1] - points[int(start2)])
segment1 = np.vstack(
[start_point1, segment_point1s, end_point1])
#
start_point2 = points[int(end1)]
start_point2 += (end1 - int(end1)) * (
points[int(end1) + 1] - points[int(end1)])
segment_point2s = points[int(end1) + 1:int(end2) + 1]
end_point2 = points[int(end2)]
end_point2 += (end2 - int(end2)) * (
points[int(end2) + 1] - points[int(end2)])
segment2 = np.vstack(
[start_point2, segment_point2s, end_point2])
directions = np.vstack([
start_point1 - segment2,
segment1 - end_point2])
lines.append(directions)
sphere_lines = []
for i, line in enumerate(lines):
radii = np.sqrt(np.sum(line**2, axis=1))
thetas = np.arccos(line[:, 2] / radii)
phis = np.arctan2(line[:, 1], line[:, 0])
local_radius = radius - 0.02*i*radius*np.sin(2*np.sin(thetas))
sphere_points = np.zeros(line.shape)
sphere_points[:, 0] = radius * np.sin(thetas) * np.cos(phis)
sphere_points[:, 1] = radius * np.sin(thetas) * np.sin(phis)
sphere_points[:, 2] = radius * np.cos(thetas)
# sphere_points += 2*(np.random.random(sphere_points.shape) - 0.5) * 0.005 * radius
sphere_lines.append(sphere_points)
self.plot(tube_radius=0.1, colour=(0.3, 0.3, 0.3, 1))
# Plot the poles
from vispy.geometry import create_sphere
from vispy.scene import Mesh
meshdata = create_sphere(radius=0.035 * radius)
vertices = meshdata.get_vertices()
faces = meshdata.get_faces()
vertices[:, 2] += radius
mesh1 = Mesh(vertices=vertices, faces=faces, vertex_colors=np.array([(0.3, 0.3, 0.3, 1) for v in vertices]))
vertices = vertices.copy()
vertices[:, 2] -= 2*radius
mesh2 = Mesh(vertices=vertices, faces=faces, vertex_colors=np.array([(0.3, 0.3, 0.3, 1) for v in vertices]))
import pyknotid.visualise as pvis
pvis.vispy_canvas.view.add(mesh1)
pvis.vispy_canvas.view.add(mesh2)
from colorsys import hsv_to_rgb
colours = [hsv_to_rgb(hue, 1, 0.8) for hue in np.linspace(0, 1, len(sphere_lines) + 1)][:-1]
colours = np.array(colours)
np.random.shuffle(colours)
for line, colour in zip(sphere_lines, colours):
from pyknotid.spacecurves.openknot import OpenKnot
k = OpenKnot(line)
k.plot(clf=False, tube_radius=0.15, colour=colour, zero_centroid=False)
def __init__(self):
app.Canvas.__init__(self, keys='interactive', size=(800, 550))
self.meshes = []
self.rotation = MatrixTransform()
# Generate some data to work with
global mdata
mdata = create_sphere(20, 40, 1.0)
# Mesh with pre-indexed vertices, uniform color
self.meshes.append(visuals.MeshVisual(meshdata=mdata, color='b'))
# Mesh with pre-indexed vertices, per-face color
# Because vertices are pre-indexed, we get a different color
# every time a vertex is visited, resulting in sharp color
# differences between edges.
rng = np.random.RandomState(0)
verts = mdata.get_vertices(indexed='faces')
nf = verts.size//9
fcolor = np.ones((nf, 3, 4), dtype=np.float32)
fcolor[..., 0] = np.linspace(1, 0, nf)[:, np.newaxis]
fcolor[..., 1] = rng.randn(nf, 1)
fcolor[..., 2] = np.linspace(0, 1, nf)[:, np.newaxis]
mesh = visuals.MeshVisual(vertices=verts, face_colors=fcolor)
self.meshes.append(mesh)
# Mesh with unindexed vertices, per-vertex color
# Because vertices are unindexed, we get the same color
# every time a vertex is visited, resulting in no color differences
# between edges.
verts = mdata.get_vertices()
faces = mdata.get_faces()
nv = verts.size//3
vcolor = np.ones((nv, 4), dtype=np.float32)
vcolor[:, 0] = np.linspace(1, 0, nv)
vcolor[:, 1] = rng.randn(nv)
vcolor[:, 2] = np.linspace(0, 1, nv)
self.meshes.append(visuals.MeshVisual(verts, faces, vcolor))
self.meshes.append(visuals.MeshVisual(verts, faces, vcolor,
shading='flat'))
self.meshes.append(visuals.MeshVisual(verts, faces, vcolor,
shading='smooth'))
# Mesh with color indexed into a colormap
verts = mdata.get_vertices(None)
faces = mdata.get_faces()
values = rng.randn(len(verts))
mesh = visuals.MeshVisual(vertices=verts, faces=faces,
vertex_values=values, shading='smooth')
mesh.clim = [-1, 1]
mesh.cmap = 'viridis'
mesh.shininess = 0.01
self.meshes.append(mesh)
# Lay out meshes in a grid
grid = (3, 3)
s = 300. / max(grid)
for i, mesh in enumerate(self.meshes):
x = 800. * (i % grid[0]) / grid[0] + 400. / grid[0] - 2
y = 800. * (i // grid[1]) / grid[1] + 400. / grid[1] + 2
transform = ChainTransform([STTransform(translate=(x, y),
scale=(s, s, s)),
self.rotation])
mesh.transform = transform
mesh.transforms.scene_transform = STTransform(scale=(1, 1, 0.01))
self.show()
self.timer = app.Timer(connect=self.rotate)
self.timer.start(0.016)
def skeleton2vispy(neuron, neuron_color, object_id, **kwargs):
"""Convert skeleton (i.e. TreeNeuron) into vispy visuals."""
visuals = []
if not kwargs.get('connectors_only', False) and not neuron.nodes.empty:
# Make sure we have one color for each node
neuron_color = np.asarray(neuron_color)
if neuron_color.ndim == 1:
neuron_color = np.tile(neuron_color, (neuron.nodes.shape[0], 1))
# Get nodes
non_roots = neuron.nodes[neuron.nodes.parent_id >= 0]
connect = np.zeros((non_roots.shape[0], 2), dtype=int)
node_ix = pd.Series(np.arange(neuron.nodes.shape[0]),
index=neuron.nodes.node_id.values)
connect[:, 0] = node_ix.loc[non_roots.node_id].values
connect[:, 1] = node_ix.loc[non_roots.parent_id].values
# Create line plot from segments.
t = scene.visuals.Line(
pos=neuron.nodes[['x', 'y', 'z']].values,
color=neuron_color,
# Can only be used with method 'agg'
width=kwargs.get('linewidth', 1),
connect=connect,
antialias=True,
method='gl')
# method can also be 'agg' -> has to use connect='strip'
# Make visual discoverable
t.interactive = True
# Add custom attributes
t.unfreeze()
t._object_type = 'neuron'
t._neuron_part = 'neurites'
t._id = neuron.id
t._name = str(getattr(neuron, 'name', neuron.id))
t._object = neuron
t._object_id = object_id
t.freeze()
visuals.append(t)
# Extract and plot soma
soma = utils.make_iterable(neuron.soma)
if kwargs.get('soma', True) and any(soma):
# If soma detection is messed up we might end up producing
# hundrets of soma which will freeze the session
if len(soma) >= 10:
logger.warning(
f'Neuron {neuron.id} appears to have {len(soma)}'
'somas. That does not look right - will ignore '
'them for plotting.')
else:
for s in soma:
# If we have colors for every vertex, we need to find the
# color that corresponds to this root (or it's parent to be
# precise)
if isinstance(neuron_color,
np.ndarray) and neuron_color.ndim > 1:
s_ix = np.where(neuron.nodes.node_id == s)[0][0]
soma_color = neuron_color[s_ix]
else:
soma_color = neuron_color
n = neuron.nodes.set_index('node_id').loc[s]
r = getattr(n, neuron.soma_radius) if isinstance(
neuron.soma_radius, str) else neuron.soma_radius
sp = create_sphere(7, 7, radius=r)
verts = sp.get_vertices() + n[['x', 'y', 'z']].values
s = scene.visuals.Mesh(vertices=verts,
shading='smooth',
faces=sp.get_faces(),
color=soma_color)
s.ambient_light_color = vispy.color.Color('white')
# Make visual discoverable
s.interactive = True
# Add custom attributes
s.unfreeze()
s._object_type = 'neuron'
s._neuron_part = 'soma'
s._id = neuron.id
s._name = str(getattr(neuron, 'name', neuron.id))
s._object = neuron
s._object_id = object_id
s.freeze()
visuals.append(s)
return visuals
def create_border_cell(self):
mdata = geometry.create_sphere(64, 64, radius=15)
borders = scene.visuals.Mesh(meshdata=mdata, shading='flat', color="#f5f5f527")
self.view.add(borders)
def __init__(self):
self.meshes = []
self.rotation = AffineTransform()
# Generate some data to work with
global mdata
mdata = create_sphere(20, 40, 1.0)
# Mesh with pre-indexed vertices, uniform color
verts = mdata.get_vertices(indexed='faces')
mesh = ModularMesh(pos=verts, color=(1, 0, 0, 1))
self.meshes.append(mesh)
# Mesh with pre-indexed vertices, per-face color
# Because vertices are pre-indexed, we get a different color
# every time a vertex is visited, resulting in sharp color
# differences between edges.
nf = verts.size//9
fcolor = np.ones((nf, 3, 4), dtype=np.float32)
fcolor[..., 0] = np.linspace(1, 0, nf)[:, np.newaxis]
fcolor[..., 1] = np.random.normal(size=nf)[:, np.newaxis]
fcolor[..., 2] = np.linspace(0, 1, nf)[:, np.newaxis]
mesh = ModularMesh(pos=verts, color=fcolor)
self.meshes.append(mesh)
# Mesh with unindexed vertices, per-vertex color
# Because vertices are unindexed, we get the same color
# every time a vertex is visited, resulting in no color differences
# between edges.
verts = mdata.get_vertices()
faces = mdata.get_faces()
nv = verts.size//3
vcolor = np.ones((nv, 4), dtype=np.float32)
vcolor[:, 0] = np.linspace(1, 0, nv)
vcolor[:, 1] = np.random.normal(size=nv)
vcolor[:, 2] = np.linspace(0, 1, nv)
mesh = ModularMesh(pos=verts, faces=faces, color=vcolor)
self.meshes.append(mesh)
# Mesh colored by vertices + grid contours
mesh = ModularMesh(pos=verts, faces=faces)
mesh.color_components = [VertexColorComponent(vcolor),
GridContourComponent(spacing=(0.13, 0.13,
0.13))]
self.meshes.append(mesh)
# Phong shaded mesh
mesh = ModularMesh(pos=verts, faces=faces)
normal_comp = VertexNormalComponent(mdata)
mesh.color_components = [VertexColorComponent(vcolor),
GridContourComponent(spacing=(0.1, 0.1, 0.1)),
ShadingComponent(normal_comp,
lights=[((-1, 1, -1),
(1.0, 1.0, 1.0))],
ambient=0.2)]
self.meshes.append(mesh)
# Phong shaded mesh, flat faces
mesh = ModularMesh(pos=mdata.get_vertices(indexed='faces'))
normal_comp = VertexNormalComponent(mdata, smooth=False)
mesh.color_components = [
VertexColorComponent(vcolor[mdata.get_faces()]),
GridContourComponent(spacing=(0.1, 0.1, 0.1)),
ShadingComponent(normal_comp, lights=[((-1, 1, -1),
(1.0, 1.0, 1.0))],
ambient=0.2)]
self.meshes.append(mesh)
# Lay out meshes in a grid
grid = (3, 3)
s = 300. / max(grid)
for i, mesh in enumerate(self.meshes):
x = 800. * (i % grid[0]) / grid[0] + 400. / grid[0] - 2
y = 800. * (i // grid[1]) / grid[1] + 400. / grid[1] + 2
mesh.transform = ChainTransform([STTransform(translate=(x, y),
scale=(s, s, 1)),
self.rotation])
vispy.scene.SceneCanvas.__init__(self, keys='interactive')
self.size = (800, 800)
self.show()
self.timer = vispy.app.Timer(connect=self.rotate)
self.timer.start(0.016)
def __init__(self):
app.Canvas.__init__(self, keys='interactive', size=(800, 550))
self.meshes = []
self.rotation = MatrixTransform()
# Generate some data to work with
global mdata
mdata = create_sphere(20, 40, 1.0)
verts = mdata.get_vertices()
faces = mdata.get_faces()
gamma, phi = xyz_to_gp(verts)
data = np.cos(5*gamma)+np.cos(phi*4)/2.
mesh = visuals.MeshVisual(vertices=verts, faces=faces,
banded=False, nband=8,
vertex_values=data)
mesh.cmap = 'viridis'
self.meshes.append(mesh)
mesh = visuals.MeshVisual(vertices=verts,
faces=faces, banded=True, nband=8,
vertex_values=data)
mesh.cmap = 'viridis'
self.meshes.append(mesh)
mesh = visuals.MeshVisual(vertices=verts,
faces=faces, banded=False, nband=8,
vertex_values=data, shading='flat')
mesh.cmap = 'viridis'
self.meshes.append(mesh)
mesh = visuals.MeshVisual(vertices=verts,
faces=faces, banded=True, nband=8,
vertex_values=data, shading='flat')
mesh.cmap = 'viridis'
self.meshes.append(mesh)
mesh = visuals.MeshVisual(vertices=verts,
faces=faces, banded=False, nband=8,
vertex_values=data, shading='smooth')
mesh.cmap = 'viridis'
mesh.shininess = 0.01
self.meshes.append(mesh)
# Mesh with color indexed into a colormap
mesh = visuals.MeshVisual(vertices=verts,
faces=faces, banded=True, nband=8,
vertex_values=data, shading='smooth')
mesh.cmap = 'viridis'
mesh.shininess = 0.01
self.meshes.append(mesh)
# Lay out meshes in a grid
grid = (3, 3)
s = 300. / max(grid)
for i, mesh in enumerate(self.meshes):
x = 800. * (i % grid[0]) / grid[0] + 400. / grid[0] - 2
y = 800. * (i // grid[1]) / grid[1] + 400. / grid[1] + 2
transform = ChainTransform([STTransform(translate=(x, y),
scale=(s, s, s)),
self.rotation])
mesh.transform = transform
mesh.transforms.scene_transform = STTransform(scale=(1, 1, 0.01))
self.show()
self.timer = app.Timer(connect=self.rotate)
self.timer.start(0.016)
labels_layer = viewer.add_labels(
labeled,
name='labels',
blending='translucent',
experimental_clipping_planes=[plane_parameters],
)
# POINTS
points_layer = viewer.add_points(
np.random.rand(20, 3) * 64,
size=5,
experimental_clipping_planes=[plane_parameters],
)
# SPHERE
mesh = create_sphere(method='ico')
sphere_vert = mesh.get_vertices() * 20
sphere_vert += 32
surface_layer = viewer.add_surface(
(sphere_vert, mesh.get_faces()),
experimental_clipping_planes=[plane_parameters],
)
# SHAPES
shapes_data = np.random.rand(3, 4, 3) * 64
shapes_layer = viewer.add_shapes(
shapes_data,
face_color=['magenta', 'green', 'blue'],
experimental_clipping_planes=[plane_parameters],
)
def test_sphere():
"""Test sphere function"""
md = create_sphere(10, 20, radius=10)
radii = np.sqrt((md.get_vertices() ** 2).sum(axis=1))
assert_allclose(radii, np.ones_like(radii) * 10)
def test_sphere():
"""Test sphere function"""
md = create_sphere(10, 20, radius=10)
radii = np.sqrt((md.get_vertices()**2).sum(axis=1))
assert_allclose(radii, np.ones_like(radii) * 10)
def __init__(self):
app.Canvas.__init__(self, keys='interactive', size=(800, 550))
self.meshes = []
self.rotation = MatrixTransform()
# Generate some data to work with
global mdata
mdata = create_sphere(20, 40, 1.0)
# Mesh with pre-indexed vertices, uniform color
self.meshes.append(visuals.MeshVisual(meshdata=mdata, color='b'))
# Mesh with pre-indexed vertices, per-face color
# Because vertices are pre-indexed, we get a different color
# every time a vertex is visited, resulting in sharp color
# differences between edges.
rng = np.random.RandomState(0)
verts = mdata.get_vertices(indexed='faces')
nf = verts.size // 9
fcolor = np.ones((nf, 3, 4), dtype=np.float32)
fcolor[..., 0] = np.linspace(1, 0, nf)[:, np.newaxis]
fcolor[..., 1] = rng.randn(nf, 1)
fcolor[..., 2] = np.linspace(0, 1, nf)[:, np.newaxis]
mesh = visuals.MeshVisual(vertices=verts, face_colors=fcolor)
self.meshes.append(mesh)
# Mesh with unindexed vertices, per-vertex color
# Because vertices are unindexed, we get the same color
# every time a vertex is visited, resulting in no color differences
# between edges.
verts = mdata.get_vertices()
faces = mdata.get_faces()
nv = verts.size // 3
vcolor = np.ones((nv, 4), dtype=np.float32)
vcolor[:, 0] = np.linspace(1, 0, nv)
vcolor[:, 1] = rng.randn(nv)
vcolor[:, 2] = np.linspace(0, 1, nv)
self.meshes.append(visuals.MeshVisual(verts, faces, vcolor))
self.meshes.append(
visuals.MeshVisual(verts, faces, vcolor, shading='flat'))
self.meshes.append(
visuals.MeshVisual(verts, faces, vcolor, shading='smooth'))
# Mesh with color indexed into a colormap
verts = mdata.get_vertices(None)
faces = mdata.get_faces()
values = rng.randn(len(verts))
mesh = visuals.MeshVisual(vertices=verts,
faces=faces,
vertex_values=values,
shading='smooth')
mesh.clim = [-1, 1]
mesh.cmap = 'viridis'
mesh.shininess = 0.01
self.meshes.append(mesh)
# Lay out meshes in a grid
grid = (3, 3)
s = 300. / max(grid)
for i, mesh in enumerate(self.meshes):
x = 800. * (i % grid[0]) / grid[0] + 400. / grid[0] - 2
y = 800. * (i // grid[1]) / grid[1] + 400. / grid[1] + 2
transform = ChainTransform([
STTransform(translate=(x, y), scale=(s, s, s)), self.rotation
])
mesh.transform = transform
mesh.transforms.scene_transform = STTransform(scale=(1, 1, 0.01))
self.show()
self.timer = app.Timer(connect=self.rotate)
self.timer.start(0.016)
def __init__(self):
GpaphicBlueprint.__init__(self)
self.kind = 'sphere'
oldMesh = create_sphere(10, 20)
self._mesh = Mesh(oldMesh.get_vertices(), oldMesh.get_faces())
self.buildProgram()
def skeleton2vispy(neuron, neuron_color, object_id, **kwargs):
"""Convert skeleton (i.e. TreeNeuron) into vispy visuals."""
visuals = []
if not kwargs.get('connectors_only', False) and not neuron.nodes.empty:
# Get root node indices (may be more than one if neuron has been
# cut weirdly)
root_ix = neuron.nodes[neuron.nodes.parent_id < 0].index.tolist()
# Get nodes
nodes = neuron.nodes[neuron.nodes.parent_id >= 0]
# Extract treenode_coordinates and their parent's coordinates
tn_coords = nodes[['x', 'y', 'z']].apply(pd.to_numeric).values
parent_coords = neuron.nodes.set_index('node_id').loc[
nodes.parent_id.values][['x', 'y',
'z']].apply(pd.to_numeric).values
# Add alpha to color based on strahler
if kwargs.get('by_strahler', False) \
or kwargs.get('by_confidence', False):
if kwargs.get('by_strahler', False):
if 'strahler_index' not in neuron.nodes:
morpho.strahler_index(neuron)
# Generate list of alpha values
alpha = neuron.nodes['strahler_index'].values
if kwargs.get('by_confidence', False):
if 'arbor_confidence' not in neuron.nodes:
morpho.arbor_confidence(neuron)
# Generate list of alpha values
alpha = neuron.nodes['arbor_confidence'].values
# Pop root from coordinate lists
alpha = np.delete(alpha, root_ix, axis=0)
alpha = alpha / (max(alpha) + 1)
# Duplicate values (start and end of each segment!)
alpha = np.array([v for l in zip(alpha, alpha) for v in l])
# Turn color into array
# (need 2 colors per segment for beginning and end)
neuron_color = np.array([neuron_color] * (tn_coords.shape[0] * 2),
dtype=float)
neuron_color = np.insert(neuron_color, 3, alpha, axis=1)
if not kwargs.get('radius', False):
# Turn coordinates into segments
segments = [
item for sublist in zip(tn_coords, parent_coords)
for item in sublist
]
# Create line plot from segments.
t = scene.visuals.Line(
pos=np.array(segments),
color=list(neuron_color),
# Can only be used with method 'agg'
width=kwargs.get('linewidth', 1),
connect='segments',
antialias=True,
method='gl')
# method can also be 'agg' -> has to use connect='strip'
# Make visual discoverable
t.interactive = True
# Add custom attributes
t.unfreeze()
t._object_type = 'neuron'
t._neuron_part = 'neurites'
t._id = neuron.id
t._name = str(getattr(neuron, 'name', neuron.id))
t._object_id = object_id
t.freeze()
visuals.append(t)
else:
# Generate coordinates
coords = segments_to_coords(neuron,
neuron.segments,
modifier=(1, 1, 1))
# For each point of each segment get the radius
nodes = neuron.nodes.set_index('node_id')
radii = [
nodes.loc[s, 'radius'].values.astype(float)
for s in neuron.segments
]
# Generate faces and vertices for the tube
verts, faces = make_tube(segments=coords,
radii=radii,
use_normals=kwargs.get(
'use_normals', True),
tube_points=kwargs.get('tube_points', 3))
vertex_colors = np.resize(
neuron_color, (verts.shape[0], kwargs.get('tube_points', 3)))
t = scene.visuals.Mesh(vertices=verts,
faces=faces,
vertex_colors=vertex_colors,
shading='smooth',
mode='triangles')
# Add custom attributes
t.unfreeze()
t._object_type = 'neuron'
t._neuron_part = 'neurites'
t._id = neuron.id
t._name = str(getattr(neuron, 'name', neuron.id))
t._object_id = object_id
t.freeze()
visuals.append(t)
if kwargs.get('by_strahler', False) or \
kwargs.get('by_confidence', False):
# Convert array back to a single color without alpha
neuron_color = neuron_color[0][:3]
# Extract and plot soma
soma = utils.make_iterable(neuron.soma)
if any(soma):
# If soma detection is messed up we might end up producing
# dozens of soma which will freeze the kernel
if len(soma) >= 10:
logger.warning(f'{neuron.id}: {len(soma)} somas found.')
for s in soma:
n = neuron.nodes.set_index('node_id').loc[s]
r = getattr(n, neuron.soma_radius) if isinstance(
neuron.soma_radius, str) else neuron.soma_radius
sp = create_sphere(7, 7, radius=r)
verts = sp.get_vertices() + n[['x', 'y', 'z']].values
s = scene.visuals.Mesh(vertices=verts,
shading='smooth',
faces=sp.get_faces(),
color=neuron_color)
s.ambient_light_color = vispy.color.Color('white')
# Make visual discoverable
s.interactive = True
# Add custom attributes
s.unfreeze()
s._object_type = 'neuron'
s._neuron_part = 'soma'
s._id = neuron.id
s._name = str(getattr(neuron, 'name', neuron.id))
s._object_id = object_id
s.freeze()
visuals.append(s)
return visuals
def update(self, t, crazyflies):
if len(self.cfs) == 0:
verts, faces, normals, nothin = io.read_mesh(CF_MESH_PATH)
for i, cf in enumerate(crazyflies):
color = cf.ledRGB
mesh = scene.visuals.Mesh(
parent=self.view.scene,
vertices=verts,
faces=faces,
color=color,
shading="smooth",
)
mesh.light_dir = (0.1, 0.1, 1.0)
mesh.shininess = 0.01
mesh.ambient_light_color = [0.5] * 3
mesh.transform = transforms.MatrixTransform()
self.cfs.append(mesh)
self.led_color_cache.append(color)
if self.ellipsoid_radii is not None and self.ellipsoids is None:
sphere_mesh = geometry.create_sphere(radius=1.0)
self.ellipsoids = [
scene.visuals.Mesh(
parent=self.view.scene,
meshdata=sphere_mesh,
color=ELLIPSOID_COLOR_OK,
shading="smooth",
) for _ in self.cfs
]
for ell in self.ellipsoids:
ell.light_dir = (0.1, 0.1, 1.0)
ell.shininess = 0.0
ell.ambient_light_color = [0.5] * 3
ell.transform = transforms.MatrixTransform()
positions = np.stack([cf.position() for cf in crazyflies])
for i in range(0, len(self.cfs)):
x, y, z = crazyflies[i].position()
roll, pitch, yaw = crazyflies[i].rpy()
self.cfs[i].transform.reset()
self.cfs[i].transform.rotate(-90, (1, 0, 0))
self.cfs[i].transform.rotate(math.degrees(roll), (1, 0, 0))
self.cfs[i].transform.rotate(math.degrees(pitch), (0, 1, 0))
self.cfs[i].transform.rotate(math.degrees(yaw), (0, 0, 1))
self.cfs[i].transform.scale((0.002, 0.002, -0.002))
self.cfs[i].transform.translate(positions[i])
# vispy does not do this check
color = crazyflies[i].ledRGB
if color != self.led_color_cache[i]:
self.led_color_cache[i] = color
self.cfs[i].color = color # sets dirty flag
# Update graph line segments to match new Crazyflie positions.
if self.graph is not None:
for k, (i, j) in enumerate(self.graph_edges):
self.graph_lines[2 * k, :] = positions[i]
self.graph_lines[2 * k + 1, :] = positions[j]
self.graph.set_data(self.graph_lines)
# Update collsiion ellipsoids.
if self.ellipsoids is not None:
colliding = util.check_ellipsoid_collisions(
positions, self.ellipsoid_radii)
for i, pos in enumerate(positions):
ell = self.ellipsoids[i]
tf = ell.transform
tf.reset()
tf.scale(self.ellipsoid_radii)
tf.translate(pos)
new_color = ELLIPSOID_COLOR_COLLISION if colliding[
i] else ELLIPSOID_COLOR_OK
if not (new_color
== ell.color): # vispy Color lacks != override.
ell.color = new_color
self.canvas.app.process_events()
def dotprop2vispy(x, **kwargs):
"""Converts dotprops(s) to vispy visuals.
Parameters
----------
x : core.Dotprops | pd.DataFrame
Dotprop(s) to plot.
colormap : tuple | dict | array
Color to use for plotting. Dictionaries should be mapped
to gene names.
scale_vect : int, optional
Vector to scale dotprops by.
Returns
-------
list
Contains vispy visuals for each dotprop.
"""
if not isinstance(x, (core.Dotprops, pd.DataFrame)):
raise TypeError(f'Unable to process data of type "{type(x)}"')
visuals = []
# Parse colors for dotprops
colors = kwargs.get('color', kwargs.get('c', kwargs.get('colors', None)))
_, colormap, _ = prepare_colormap(colors,
dotprops=x,
use_neuron_color=False,
color_range=1)
scale_vect = kwargs.get('scale_vect', 1)
for i, n in enumerate(x.itertuples()):
# Generate random ID -> we need this in case we have duplicate IDs
object_id = uuid.uuid4()
color = colormap[i]
# Prepare lines - this is based on nat:::plot3d.dotprops
halfvect = n.points[['x_vec', 'y_vec', 'z_vec']] / 2 * scale_vect
starts = n.points[['x', 'y', 'z']].values - halfvect.values
ends = n.points[['x', 'y', 'z']].values + halfvect.values
segments = [item for sublist in zip(starts, ends) for item in sublist]
t = scene.visuals.Line(pos=np.array(segments),
color=color,
width=2,
connect='segments',
antialias=False,
method='gl') # method can also be 'agg'
# Add custom attributes
t.unfreeze()
t._object_type = 'dotprop'
t._neuron_part = 'neurites'
t._name = getattr(n, 'gene_name', getattr(n, 'name', 'NoName'))
t._object_id = object_id
t.freeze()
visuals.append(t)
# Add soma (if provided as X/Y/Z)
if all([hasattr(n, v) for v in ['X', 'Y', 'Z']]):
sp = create_sphere(5, 5, radius=4)
s = scene.visuals.Mesh(vertices=sp.get_vertices() +
np.array([n.X, n.Y, n.Z]),
faces=sp.get_faces(),
color=color)
# Add custom attributes
s.unfreeze()
s._object_type = 'dotprop'
s._neuron_part = 'soma'
s._name = n.gene_name
s._object_id = object_id
s.freeze()
visuals.append(s)
return visuals