from __future__ import division, print_function, absolute_import
import numpy as np
import vtk
from vtk.util import numpy_support
import fury.shaders
from fury import layout
from fury.colormap import colormap_lookup_table, create_colormap, orient2rgb
from fury.utils import (lines_to_vtk_polydata, set_input, apply_affine,
numpy_to_vtk_points, numpy_to_vtk_colors,
set_polydata_vertices, set_polydata_triangles)
from fury.utils import numpy_to_vtk_matrix, shallow_copy
[docs]def slicer(data, affine=None, value_range=None, opacity=1.,
lookup_colormap=None, interpolation='linear', picking_tol=0.025):
"""Cut 3D scalar or rgb volumes into 2D images.
Parameters
----------
data : array, shape (X, Y, Z) or (X, Y, Z, 3)
A grayscale or rgb 4D volume as a numpy array. If rgb then values
expected on the range [0, 255].
affine : array, shape (4, 4)
Grid to space (usually RAS 1mm) transformation matrix. Default is None.
If None then the identity matrix is used.
value_range : None or tuple (2,)
If None then the values will be interpolated from (data.min(),
data.max()) to (0, 255). Otherwise from (value_range[0],
value_range[1]) to (0, 255).
opacity : float, optional
Opacity of 0 means completely transparent and 1 completely visible.
lookup_colormap : vtkLookupTable
If None (default) then a grayscale map is created.
interpolation : string
If 'linear' (default) then linear interpolation is used on the final
texture mapping. If 'nearest' then nearest neighbor interpolation is
used on the final texture mapping.
picking_tol : float
The tolerance for the vtkCellPicker, specified as a fraction of
rendering window size.
Returns
-------
image_actor : ImageActor
An object that is capable of displaying different parts of the volume
as slices. The key method of this object is ``display_extent`` where
one can input grid coordinates and display the slice in space (or grid)
coordinates as calculated by the affine parameter.
"""
if value_range is None:
value_range = (data.min(), data.max())
if data.ndim != 3:
if data.ndim == 4:
if data.shape[3] != 3:
raise ValueError('Only RGB 3D arrays are currently supported.')
else:
nb_components = 3
else:
raise ValueError('Only 3D arrays are currently supported.')
else:
nb_components = 1
vol = data
im = vtk.vtkImageData()
I, J, K = vol.shape[:3]
im.SetDimensions(I, J, K)
# for now setting up for 1x1x1 but transformation comes later.
voxsz = (1., 1., 1.)
# im.SetOrigin(0,0,0)
im.SetSpacing(voxsz[2], voxsz[0], voxsz[1])
vtk_type = numpy_support.get_vtk_array_type(vol.dtype)
im.AllocateScalars(vtk_type, nb_components)
# im.AllocateScalars(vtk.VTK_UNSIGNED_CHAR, nb_components)
# copy data
# what I do below is the same as what is
# commented here but much faster
# for index in ndindex(vol.shape):
# i, j, k = index
# im.SetScalarComponentFromFloat(i, j, k, 0, vol[i, j, k])
vol = np.swapaxes(vol, 0, 2)
vol = np.ascontiguousarray(vol)
if nb_components == 1:
vol = vol.ravel()
else:
vol = np.reshape(vol, [np.prod(vol.shape[:3]), vol.shape[3]])
uchar_array = numpy_support.numpy_to_vtk(vol, deep=0)
im.GetPointData().SetScalars(uchar_array)
if affine is None:
affine = np.eye(4)
# Set the transform (identity if none given)
transform = vtk.vtkTransform()
transform_matrix = vtk.vtkMatrix4x4()
transform_matrix.DeepCopy((
affine[0][0], affine[0][1], affine[0][2], affine[0][3],
affine[1][0], affine[1][1], affine[1][2], affine[1][3],
affine[2][0], affine[2][1], affine[2][2], affine[2][3],
affine[3][0], affine[3][1], affine[3][2], affine[3][3]))
transform.SetMatrix(transform_matrix)
transform.Inverse()
# Set the reslicing
image_resliced = vtk.vtkImageReslice()
set_input(image_resliced, im)
image_resliced.SetResliceTransform(transform)
image_resliced.AutoCropOutputOn()
# Adding this will allow to support anisotropic voxels
# and also gives the opportunity to slice per voxel coordinates
RZS = affine[:3, :3]
zooms = np.sqrt(np.sum(RZS * RZS, axis=0))
image_resliced.SetOutputSpacing(*zooms)
image_resliced.SetInterpolationModeToLinear()
image_resliced.Update()
vtk_resliced_data = image_resliced.GetOutput()
ex1, ex2, ey1, ey2, ez1, ez2 = vtk_resliced_data.GetExtent()
resliced = numpy_support.vtk_to_numpy(
vtk_resliced_data.GetPointData().GetScalars())
# swap axes here
if data.ndim == 4:
if data.shape[-1] == 3:
resliced = resliced.reshape(ez2 + 1, ey2 + 1, ex2 + 1, 3)
if data.ndim == 3:
resliced = resliced.reshape(ez2 + 1, ey2 + 1, ex2 + 1)
class ImageActor(vtk.vtkImageActor):
def __init__(self):
self.picker = vtk.vtkCellPicker()
self.output = None
self.shape = None
self.outline_actor = None
def input_connection(self, output):
# outline only
outline = vtk.vtkOutlineFilter()
outline.SetInputData(vtk_resliced_data)
outline_mapper = vtk.vtkPolyDataMapper()
outline_mapper.SetInputConnection(outline.GetOutputPort())
self.outline_actor = vtk.vtkActor()
self.outline_actor.SetMapper(outline_mapper)
self.outline_actor.GetProperty().SetColor(1, 0.5, 0)
self.outline_actor.GetProperty().SetLineWidth(5)
self.outline_actor.GetProperty().SetRenderLinesAsTubes(True)
# crucial
self.GetMapper().SetInputConnection(output.GetOutputPort())
self.output = output
self.shape = (ex2 + 1, ey2 + 1, ez2 + 1)
def display_extent(self, x1, x2, y1, y2, z1, z2):
self.SetDisplayExtent(x1, x2, y1, y2, z1, z2)
self.Update()
bounds = self.GetBounds()
# xmin, xmax, ymin, ymax, zmin, zmax = bounds
# line = np.array([[xmin, ymin, zmin]])
# self.outline_actor = actor.line()
def display(self, x=None, y=None, z=None):
if x is None and y is None and z is None:
self.display_extent(ex1, ex2, ey1, ey2, ez2//2, ez2//2)
if x is not None:
self.display_extent(x, x, ey1, ey2, ez1, ez2)
if y is not None:
self.display_extent(ex1, ex2, y, y, ez1, ez2)
if z is not None:
self.display_extent(ex1, ex2, ey1, ey2, z, z)
def resliced_array(self):
""" Returns resliced array as numpy array"""
resliced = numpy_support.vtk_to_numpy(
vtk_resliced_data.GetPointData().GetScalars())
# swap axes here
if data.ndim == 4:
if data.shape[-1] == 3:
resliced = resliced.reshape(ez2 + 1, ey2 + 1, ex2 + 1, 3)
if data.ndim == 3:
resliced = resliced.reshape(ez2 + 1, ey2 + 1, ex2 + 1)
resliced = np.swapaxes(resliced, 0, 2)
resliced = np.ascontiguousarray(resliced)
return resliced
def opacity(self, value):
self.GetProperty().SetOpacity(value)
def tolerance(self, value):
self.picker.SetTolerance(value)
def copy(self):
im_actor = ImageActor()
im_actor.input_connection(self.output)
im_actor.SetDisplayExtent(*self.GetDisplayExtent())
im_actor.opacity(self.GetOpacity())
im_actor.tolerance(self.picker.GetTolerance())
if interpolation == 'nearest':
im_actor.SetInterpolate(False)
else:
im_actor.SetInterpolate(True)
im_actor.GetMapper().BorderOn()
return im_actor
def shallow_copy(self):
# TODO rename copy to shallow_copy
self.copy()
r1, r2 = value_range
image_actor = ImageActor()
if nb_components == 1:
lut = lookup_colormap
if lookup_colormap is None:
# Create a black/white lookup table.
lut = colormap_lookup_table((r1, r2), (0, 0), (0, 0), (0, 1))
plane_colors = vtk.vtkImageMapToColors()
plane_colors.SetLookupTable(lut)
plane_colors.SetInputConnection(image_resliced.GetOutputPort())
plane_colors.Update()
image_actor.input_connection(plane_colors)
else:
image_actor.input_connection(image_resliced)
image_actor.display()
image_actor.opacity(opacity)
image_actor.tolerance(picking_tol)
if interpolation == 'nearest':
image_actor.SetInterpolate(False)
else:
image_actor.SetInterpolate(True)
image_actor.GetMapper().BorderOn()
return image_actor
[docs]def surface(vertices, faces=None, colors=None, smooth=None, subdivision=3):
"""Generates a surface actor from an array of vertices
The color and smoothness of the surface can be customized by specifying
the type of subdivision algorithm and the number of subdivisions.
Parameters
----------
vertices : array, shape (X, Y, Z)
The point cloud defining the surface.
faces : array
An array of precomputed triangulation for the point cloud.
It is an optional parameter, it is computed locally if None
colors : (N, 3) array
Specifies the colors associated with each vertex in the
vertices array.
Optional parameter, if not passed, all vertices
are colored white
smooth : string - "loop" or "butterfly"
Defines the type of subdivision to be used
for smoothing the surface
subdivision : integer, default = 3
Defines the number of subdivisions to do for
each triangulation of the point cloud.
The higher the value, smoother the surface
but at the cost of higher computation
Returns
-------
surface_actor : vtkActor
A vtkActor visualizing the final surface
computed from the point cloud is returned.
"""
from scipy.spatial import Delaunay
points = vtk.vtkPoints()
points.SetData(numpy_support.numpy_to_vtk(vertices))
triangle_poly_data = vtk.vtkPolyData()
triangle_poly_data.SetPoints(points)
if colors is not None:
triangle_poly_data.GetPointData().\
SetScalars(numpy_support.numpy_to_vtk(colors))
if faces is None:
tri = Delaunay(vertices[:, [0, 1]])
faces = np.array(tri.simplices, dtype='i8')
if faces.shape[1] == 3:
triangles = np.empty((faces.shape[0], 4), dtype=np.int64)
triangles[:, -3:] = faces
triangles[:, 0] = 3
else:
triangles = faces
if not triangles.flags['C_CONTIGUOUS'] or triangles.dtype != 'int64':
triangles = np.ascontiguousarray(triangles, 'int64')
cells = vtk.vtkCellArray()
cells.SetCells(triangles.shape[0],
numpy_support.numpy_to_vtkIdTypeArray(triangles, deep=True))
triangle_poly_data.SetPolys(cells)
clean_poly_data = vtk.vtkCleanPolyData()
clean_poly_data.SetInputData(triangle_poly_data)
mapper = vtk.vtkPolyDataMapper()
surface_actor = vtk.vtkActor()
if smooth is None:
mapper.SetInputData(triangle_poly_data)
surface_actor.SetMapper(mapper)
elif smooth == "loop":
smooth_loop = vtk.vtkLoopSubdivisionFilter()
smooth_loop.SetNumberOfSubdivisions(subdivision)
smooth_loop.SetInputConnection(clean_poly_data.GetOutputPort())
mapper.SetInputConnection(smooth_loop.GetOutputPort())
surface_actor.SetMapper(mapper)
elif smooth == "butterfly":
smooth_butterfly = vtk.vtkButterflySubdivisionFilter()
smooth_butterfly.SetNumberOfSubdivisions(subdivision)
smooth_butterfly.SetInputConnection(clean_poly_data.GetOutputPort())
mapper.SetInputConnection(smooth_butterfly.GetOutputPort())
surface_actor.SetMapper(mapper)
return surface_actor
[docs]def contour_from_roi(data, affine=None,
color=np.array([1, 0, 0]), opacity=1):
"""Generate surface actor from a binary ROI.
The color and opacity of the surface can be customized.
Parameters
----------
data : array, shape (X, Y, Z)
An ROI file that will be binarized and displayed.
affine : array, shape (4, 4)
Grid to space (usually RAS 1mm) transformation matrix. Default is None.
If None then the identity matrix is used.
color : (1, 3) ndarray
RGB values in [0,1].
opacity : float
Opacity of surface between 0 and 1.
Returns
-------
contour_assembly : vtkAssembly
ROI surface object displayed in space
coordinates as calculated by the affine parameter.
"""
if data.ndim != 3:
raise ValueError('Only 3D arrays are currently supported.')
else:
nb_components = 1
data = (data > 0) * 1
vol = np.interp(data, xp=[data.min(), data.max()], fp=[0, 255])
vol = vol.astype('uint8')
im = vtk.vtkImageData()
di, dj, dk = vol.shape[:3]
im.SetDimensions(di, dj, dk)
voxsz = (1., 1., 1.)
# im.SetOrigin(0,0,0)
im.SetSpacing(voxsz[2], voxsz[0], voxsz[1])
im.AllocateScalars(vtk.VTK_UNSIGNED_CHAR, nb_components)
# copy data
vol = np.swapaxes(vol, 0, 2)
vol = np.ascontiguousarray(vol)
if nb_components == 1:
vol = vol.ravel()
else:
vol = np.reshape(vol, [np.prod(vol.shape[:3]), vol.shape[3]])
uchar_array = numpy_support.numpy_to_vtk(vol, deep=0)
im.GetPointData().SetScalars(uchar_array)
if affine is None:
affine = np.eye(4)
# Set the transform (identity if none given)
transform = vtk.vtkTransform()
transform_matrix = vtk.vtkMatrix4x4()
transform_matrix.DeepCopy((
affine[0][0], affine[0][1], affine[0][2], affine[0][3],
affine[1][0], affine[1][1], affine[1][2], affine[1][3],
affine[2][0], affine[2][1], affine[2][2], affine[2][3],
affine[3][0], affine[3][1], affine[3][2], affine[3][3]))
transform.SetMatrix(transform_matrix)
transform.Inverse()
# Set the reslicing
image_resliced = vtk.vtkImageReslice()
set_input(image_resliced, im)
image_resliced.SetResliceTransform(transform)
image_resliced.AutoCropOutputOn()
# Adding this will allow to support anisotropic voxels
# and also gives the opportunity to slice per voxel coordinates
rzs = affine[:3, :3]
zooms = np.sqrt(np.sum(rzs * rzs, axis=0))
image_resliced.SetOutputSpacing(*zooms)
image_resliced.SetInterpolationModeToLinear()
image_resliced.Update()
skin_extractor = vtk.vtkContourFilter()
skin_extractor.SetInputData(image_resliced.GetOutput())
skin_extractor.SetValue(0, 1)
skin_normals = vtk.vtkPolyDataNormals()
skin_normals.SetInputConnection(skin_extractor.GetOutputPort())
skin_normals.SetFeatureAngle(60.0)
skin_mapper = vtk.vtkPolyDataMapper()
skin_mapper.SetInputConnection(skin_normals.GetOutputPort())
skin_mapper.ScalarVisibilityOff()
skin_actor = vtk.vtkActor()
skin_actor.SetMapper(skin_mapper)
skin_actor.GetProperty().SetOpacity(opacity)
skin_actor.GetProperty().SetColor(color[0], color[1], color[2])
return skin_actor
[docs]def streamtube(lines, colors=None, opacity=1, linewidth=0.1, tube_sides=9,
lod=True, lod_points=10 ** 4, lod_points_size=3,
spline_subdiv=None, lookup_colormap=None):
"""Use streamtubes to visualize polylines
Parameters
----------
lines : list
list of N curves represented as 2D ndarrays
colors : array (N, 3), list of arrays, tuple (3,), array (K,), None
If None then a standard orientation colormap is used for every line.
If one tuple of color is used. Then all streamlines will have the same
colour.
If an array (N, 3) is given, where N is equal to the number of lines.
Then every line is coloured with a different RGB color.
If a list of RGB arrays is given then every point of every line takes
a different color.
If an array (K, ) is given, where K is the number of points of all
lines then these are considered as the values to be used by the
colormap.
If an array (L, ) is given, where L is the number of streamlines then
these are considered as the values to be used by the colormap per
streamline.
If an array (X, Y, Z) or (X, Y, Z, 3) is given then the values for the
colormap are interpolated automatically using trilinear interpolation.
opacity : float
Takes values from 0 (fully transparent) to 1 (opaque). Default is 1.
linewidth : float
Default is 0.01.
tube_sides : int
Default is 9.
lod : bool
Use vtkLODActor(level of detail) rather than vtkActor. Default is True.
Level of detail actors do not render the full geometry when the
frame rate is low.
lod_points : int
Number of points to be used when LOD is in effect. Default is 10000.
lod_points_size : int
Size of points when lod is in effect. Default is 3.
spline_subdiv : int
Number of splines subdivision to smooth streamtubes. Default is None.
lookup_colormap : vtkLookupTable
Add a default lookup table to the colormap. Default is None which calls
:func:`fury.actor.colormap_lookup_table`.
Examples
--------
>>> import numpy as np
>>> from fury import actor, window
>>> scene = window.Scene()
>>> lines = [np.random.rand(10, 3), np.random.rand(20, 3)]
>>> colors = np.random.rand(2, 3)
>>> c = actor.streamtube(lines, colors)
>>> scene.add(c)
>>> #window.show(scene)
Notes
-----
Streamtubes can be heavy on GPU when loading many streamlines and
therefore, you may experience slow rendering time depending on system GPU.
A solution to this problem is to reduce the number of points in each
streamline. In Dipy we provide an algorithm that will reduce the number of
points on the straighter parts of the streamline but keep more points on
the curvier parts. This can be used in the following way::
from dipy.tracking.distances import approx_polygon_track
lines = [approx_polygon_track(line, 0.2) for line in lines]
Alternatively we suggest using the ``line`` actor which is much more
efficient.
See Also
--------
:func:`fury.actor.line`
"""
# Poly data with lines and colors
poly_data, is_colormap = lines_to_vtk_polydata(lines, colors)
next_input = poly_data
# Set Normals
poly_normals = set_input(vtk.vtkPolyDataNormals(), next_input)
poly_normals.ComputeCellNormalsOn()
poly_normals.ComputePointNormalsOn()
poly_normals.ConsistencyOn()
poly_normals.AutoOrientNormalsOn()
poly_normals.Update()
next_input = poly_normals.GetOutputPort()
# Spline interpolation
if (spline_subdiv is not None) and (spline_subdiv > 0):
spline_filter = set_input(vtk.vtkSplineFilter(), next_input)
spline_filter.SetSubdivideToSpecified()
spline_filter.SetNumberOfSubdivisions(spline_subdiv)
spline_filter.Update()
next_input = spline_filter.GetOutputPort()
# Add thickness to the resulting lines
tube_filter = set_input(vtk.vtkTubeFilter(), next_input)
tube_filter.SetNumberOfSides(tube_sides)
tube_filter.SetRadius(linewidth)
# TODO using the line above we will be able to visualize
# streamtubes of varying radius
# tube_filter.SetVaryRadiusToVaryRadiusByScalar()
tube_filter.CappingOn()
tube_filter.Update()
next_input = tube_filter.GetOutputPort()
# Poly mapper
poly_mapper = set_input(vtk.vtkPolyDataMapper(), next_input)
poly_mapper.ScalarVisibilityOn()
poly_mapper.SetScalarModeToUsePointFieldData()
poly_mapper.SelectColorArray("Colors")
poly_mapper.Update()
# Color Scale with a lookup table
if is_colormap:
if lookup_colormap is None:
lookup_colormap = colormap_lookup_table()
poly_mapper.SetLookupTable(lookup_colormap)
poly_mapper.UseLookupTableScalarRangeOn()
poly_mapper.Update()
# Set Actor
if lod:
actor = vtk.vtkLODActor()
actor.SetNumberOfCloudPoints(lod_points)
actor.GetProperty().SetPointSize(lod_points_size)
else:
actor = vtk.vtkActor()
actor.SetMapper(poly_mapper)
actor.GetProperty().SetInterpolationToPhong()
actor.GetProperty().BackfaceCullingOn()
actor.GetProperty().SetOpacity(opacity)
return actor
[docs]def line(lines, colors=None, opacity=1, linewidth=1,
spline_subdiv=None, lod=True, lod_points=10 ** 4, lod_points_size=3,
lookup_colormap=None, depth_cue=False, fake_tube=False):
""" Create an actor for one or more lines.
Parameters
------------
lines : list of arrays
colors : array (N, 3), list of arrays, tuple (3,), array (K,), None
If None then a standard orientation colormap is used for every line.
If one tuple of color is used. Then all streamlines will have the same
colour.
If an array (N, 3) is given, where N is equal to the number of lines.
Then every line is coloured with a different RGB color.
If a list of RGB arrays is given then every point of every line takes
a different color.
If an array (K, ) is given, where K is the number of points of all
lines then these are considered as the values to be used by the
colormap.
If an array (L, ) is given, where L is the number of streamlines then
these are considered as the values to be used by the colormap per
streamline.
If an array (X, Y, Z) or (X, Y, Z, 3) is given then the values for the
colormap are interpolated automatically using trilinear interpolation.
opacity : float, optional
Takes values from 0 (fully transparent) to 1 (opaque). Default is 1.
linewidth : float, optional
Line thickness. Default is 1.
spline_subdiv : int, optional
Number of splines subdivision to smooth streamtubes. Default is None
which means no subdivision.
lod : bool
Use vtkLODActor(level of detail) rather than vtkActor. Default is True.
Level of detail actors do not render the full geometry when the
frame rate is low.
lod_points : int
Number of points to be used when LOD is in effect. Default is 10000.
lod_points_size : int
Size of points when lod is in effect. Default is 3.
lookup_colormap : bool, optional
Add a default lookup table to the colormap. Default is None which calls
:func:`fury.actor.colormap_lookup_table`.
depth_cue : boolean
Add a size depth cue so that lines shrink with distance to the camera.
Works best with linewidth <= 1.
fake_tube: boolean
Add shading to lines to approximate the look of tubes.
Returns
----------
v : vtkActor or vtkLODActor object
Line.
Examples
----------
>>> from fury import actor, window
>>> scene = window.Scene()
>>> lines = [np.random.rand(10, 3), np.random.rand(20, 3)]
>>> colors = np.random.rand(2, 3)
>>> c = actor.line(lines, colors)
>>> scene.add(c)
>>> #window.show(scene)
"""
# Poly data with lines and colors
poly_data, is_colormap = lines_to_vtk_polydata(lines, colors)
next_input = poly_data
# use spline interpolation
if (spline_subdiv is not None) and (spline_subdiv > 0):
spline_filter = set_input(vtk.vtkSplineFilter(), next_input)
spline_filter.SetSubdivideToSpecified()
spline_filter.SetNumberOfSubdivisions(spline_subdiv)
spline_filter.Update()
next_input = spline_filter.GetOutputPort()
poly_mapper = set_input(vtk.vtkPolyDataMapper(), next_input)
poly_mapper.ScalarVisibilityOn()
poly_mapper.SetScalarModeToUsePointFieldData()
poly_mapper.SelectColorArray("Colors")
poly_mapper.Update()
if depth_cue:
poly_mapper.SetGeometryShaderCode(fury.shaders.load("line.geom"))
@vtk.calldata_type(vtk.VTK_OBJECT)
def vtkShaderCallback(_caller, _event, calldata=None):
program = calldata
if program is not None:
program.SetUniformf("linewidth", linewidth)
poly_mapper.AddObserver(vtk.vtkCommand.UpdateShaderEvent,
vtkShaderCallback)
# Color Scale with a lookup table
if is_colormap:
if lookup_colormap is None:
lookup_colormap = colormap_lookup_table()
poly_mapper.SetLookupTable(lookup_colormap)
poly_mapper.UseLookupTableScalarRangeOn()
poly_mapper.Update()
# Set Actor
if lod:
actor = vtk.vtkLODActor()
actor.SetNumberOfCloudPoints(lod_points)
actor.GetProperty().SetPointSize(lod_points_size)
else:
actor = vtk.vtkActor()
actor.SetMapper(poly_mapper)
actor.GetProperty().SetLineWidth(linewidth)
actor.GetProperty().SetOpacity(opacity)
if fake_tube:
actor.GetProperty().SetRenderLinesAsTubes(True)
return actor
[docs]def scalar_bar(lookup_table=None, title=" "):
""" Default scalar bar actor for a given colormap (colorbar)
Parameters
----------
lookup_table : vtkLookupTable or None
If None then ``colormap_lookup_table`` is called with default options.
title : str
Returns
-------
scalar_bar : vtkScalarBarActor
See Also
--------
:func:`fury.actor.colormap_lookup_table`
"""
lookup_table_copy = vtk.vtkLookupTable()
if lookup_table is None:
lookup_table = colormap_lookup_table()
# Deepcopy the lookup_table because sometimes vtkPolyDataMapper deletes it
lookup_table_copy.DeepCopy(lookup_table)
scalar_bar = vtk.vtkScalarBarActor()
scalar_bar.SetTitle(title)
scalar_bar.SetLookupTable(lookup_table_copy)
scalar_bar.SetNumberOfLabels(6)
return scalar_bar
def _arrow(pos=(0, 0, 0), color=(1, 0, 0), scale=(1, 1, 1), opacity=1):
""" Internal function for generating arrow actors.
"""
arrow = vtk.vtkArrowSource()
# arrow.SetTipLength(length)
arrowm = vtk.vtkPolyDataMapper()
arrowm.SetInputConnection(arrow.GetOutputPort())
arrowa = vtk.vtkActor()
arrowa.SetMapper(arrowm)
arrowa.GetProperty().SetColor(color)
arrowa.GetProperty().SetOpacity(opacity)
arrowa.SetScale(scale)
return arrowa
[docs]def axes(scale=(1, 1, 1), colorx=(1, 0, 0), colory=(0, 1, 0), colorz=(0, 0, 1),
opacity=1):
""" Create an actor with the coordinate's system axes where
red = x, green = y, blue = z.
Parameters
----------
scale : tuple (3,)
Axes size e.g. (100, 100, 100). Default is (1, 1, 1).
colorx : tuple (3,)
x-axis color. Default red (1, 0, 0).
colory : tuple (3,)
y-axis color. Default green (0, 1, 0).
colorz : tuple (3,)
z-axis color. Default blue (0, 0, 1).
opacity : float, optional
Takes values from 0 (fully transparent) to 1 (opaque). Default is 1.
Returns
-------
vtkAssembly
"""
arrowx = _arrow(color=colorx, scale=scale, opacity=opacity)
arrowy = _arrow(color=colory, scale=scale, opacity=opacity)
arrowz = _arrow(color=colorz, scale=scale, opacity=opacity)
arrowy.RotateZ(90)
arrowz.RotateY(-90)
ass = vtk.vtkAssembly()
ass.AddPart(arrowx)
ass.AddPart(arrowy)
ass.AddPart(arrowz)
return ass
[docs]def odf_slicer(odfs, affine=None, mask=None, sphere=None, scale=2.2,
norm=True, radial_scale=True, opacity=1.,
colormap='plasma', global_cm=False):
""" Slice spherical fields in native or world coordinates
Parameters
----------
odfs : ndarray
4D array of spherical functions
affine : array
4x4 transformation array from native coordinates to world coordinates
mask : ndarray
3D mask
sphere : Sphere
a sphere
scale : float
Distance between spheres.
norm : bool
Normalize `sphere_values`.
radial_scale : bool
Scale sphere points according to odf values.
opacity : float
Takes values from 0 (fully transparent) to 1 (opaque). Default is 1.
colormap : None or str
If None then white color is used. Otherwise the name of colormap is
given. Matplotlib colormaps are supported (e.g., 'inferno').
global_cm : bool
If True the colormap will be applied in all ODFs. If False
it will be applied individually at each voxel (default False).
Returns
---------
actor : vtkActor
Spheres
"""
if mask is None:
mask = np.ones(odfs.shape[:3], dtype=np.bool)
else:
mask = mask.astype(np.bool)
szx, szy, szz = odfs.shape[:3]
class OdfSlicerActor(vtk.vtkLODActor):
def __init__(self):
self.mapper = None
def display_extent(self, x1, x2, y1, y2, z1, z2):
tmp_mask = np.zeros(odfs.shape[:3], dtype=np.bool)
tmp_mask[x1:x2 + 1, y1:y2 + 1, z1:z2 + 1] = True
tmp_mask = np.bitwise_and(tmp_mask, mask)
self.mapper = _odf_slicer_mapper(odfs=odfs,
affine=affine,
mask=tmp_mask,
sphere=sphere,
scale=scale,
norm=norm,
radial_scale=radial_scale,
colormap=colormap,
global_cm=global_cm)
self.SetMapper(self.mapper)
def display(self, x=None, y=None, z=None):
if x is None and y is None and z is None:
self.display_extent(0, szx - 1, 0, szy - 1,
int(np.floor(szz/2)), int(np.floor(szz/2)))
if x is not None:
self.display_extent(x, x, 0, szy - 1, 0, szz - 1)
if y is not None:
self.display_extent(0, szx - 1, y, y, 0, szz - 1)
if z is not None:
self.display_extent(0, szx - 1, 0, szy - 1, z, z)
odf_actor = OdfSlicerActor()
odf_actor.display_extent(0, szx - 1, 0, szy - 1,
int(np.floor(szz/2)), int(np.floor(szz/2)))
odf_actor.GetProperty().SetOpacity(opacity)
return odf_actor
def _odf_slicer_mapper(odfs, affine=None, mask=None, sphere=None, scale=2.2,
norm=True, radial_scale=True, colormap='plasma',
global_cm=False):
""" Helper function for slicing spherical fields
Parameters
----------
odfs : ndarray
4D array of spherical functions
affine : array
4x4 transformation array from native coordinates to world coordinates
mask : ndarray
3D mask
sphere : Sphere
a sphere
scale : float
Distance between spheres.
norm : bool
Normalize `sphere_values`.
radial_scale : bool
Scale sphere points according to odf values.
colormap : None or str
If None then sphere vertices are used to compute orientation-based
color. Otherwise the name of colormap is given. Matplotlib colormaps
are supported (e.g., 'inferno').
global_cm : bool
If True the colormap will be applied in all ODFs. If False
it will be applied individually at each voxel (default False).
Returns
---------
mapper : vtkPolyDataMapper
Spheres mapper
"""
if mask is None:
mask = np.ones(odfs.shape[:3])
ijk = np.ascontiguousarray(np.array(np.nonzero(mask)).T)
if len(ijk) == 0:
return None
if affine is not None:
ijk = np.ascontiguousarray(apply_affine(affine, ijk))
faces = np.asarray(sphere.faces, dtype=int)
vertices = sphere.vertices
all_xyz = []
all_faces = []
all_ms = []
for (k, center) in enumerate(ijk):
m = odfs[tuple(center.astype(np.int))].copy()
if norm:
m /= np.abs(m).max()
if radial_scale:
xyz = vertices * m[:, None]
else:
xyz = vertices.copy()
all_xyz.append(scale * xyz + center)
all_faces.append(faces + k * xyz.shape[0])
all_ms.append(m)
all_xyz = np.ascontiguousarray(np.concatenate(all_xyz))
all_xyz_vtk = numpy_support.numpy_to_vtk(all_xyz, deep=True)
all_faces = np.concatenate(all_faces)
all_faces = np.hstack((3 * np.ones((len(all_faces), 1)),
all_faces))
ncells = len(all_faces)
all_faces = np.ascontiguousarray(all_faces.ravel(), dtype='i8')
all_faces_vtk = numpy_support.numpy_to_vtkIdTypeArray(all_faces,
deep=True)
if global_cm:
all_ms = np.ascontiguousarray(
np.concatenate(all_ms), dtype='f4')
points = vtk.vtkPoints()
points.SetData(all_xyz_vtk)
cells = vtk.vtkCellArray()
cells.SetCells(ncells, all_faces_vtk)
if global_cm:
if colormap is None:
raise IOError("if global_cm=True, colormap must be defined")
else:
cols = create_colormap(all_ms.ravel(), colormap)
else:
cols = np.zeros((ijk.shape[0],) + sphere.vertices.shape,
dtype='f4')
for k in range(ijk.shape[0]):
if colormap is not None:
tmp = create_colormap(all_ms[k].ravel(), colormap)
else:
tmp = orient2rgb(sphere.vertices)
cols[k] = tmp.copy()
cols = np.ascontiguousarray(
np.reshape(cols, (cols.shape[0] * cols.shape[1],
cols.shape[2])), dtype='f4')
vtk_colors = numpy_support.numpy_to_vtk(
np.asarray(255 * cols),
deep=True,
array_type=vtk.VTK_UNSIGNED_CHAR)
vtk_colors.SetName("Colors")
polydata = vtk.vtkPolyData()
polydata.SetPoints(points)
polydata.SetPolys(cells)
polydata.GetPointData().SetScalars(vtk_colors)
mapper = vtk.vtkPolyDataMapper()
mapper.SetInputData(polydata)
return mapper
def _makeNd(array, ndim):
"""
Pads as many 1s at the beginning of array's shape as are need to give
array ndim dimensions.
"""
new_shape = (1,) * (ndim - array.ndim) + array.shape
return array.reshape(new_shape)
[docs]def tensor_slicer(evals, evecs, affine=None, mask=None, sphere=None, scale=2.2,
norm=True, opacity=1., scalar_colors=None):
"""Slice many tensors as ellipsoids in native or world coordinates.
Parameters
----------
evals : (3,) or (X, 3) or (X, Y, 3) or (X, Y, Z, 3) ndarray
eigenvalues
evecs : (3, 3) or (X, 3, 3) or (X, Y, 3, 3) or (X, Y, Z, 3, 3) ndarray
eigenvectors
affine : array
4x4 transformation array from native coordinates to world coordinates*
mask : ndarray
3D mask
sphere : Sphere
a sphere
scale : float
Distance between spheres.
norm : bool
Normalize `sphere_values`.
opacity : float
Takes values from 0 (fully transparent) to 1 (opaque). Default is 1.
scalar_colors : (3,) or (X, 3) or (X, Y, 3) or (X, Y, Z, 3) ndarray
RGB colors used to show the tensors
Default None, color the ellipsoids using ``color_fa``
Returns
---------
actor : vtkActor
Ellipsoid
"""
if not evals.shape == evecs.shape[:-1]:
raise RuntimeError(
"Eigenvalues shape {} is incompatible with eigenvectors' {}."
" Please provide eigenvalue and"
" eigenvector arrays that have compatible dimensions."
.format(evals.shape, evecs.shape))
if mask is None:
mask = np.ones(evals.shape[:3], dtype=np.bool)
else:
mask = mask.astype(np.bool)
szx, szy, szz = evals.shape[:3]
class TensorSlicerActor(vtk.vtkLODActor):
def __init__(self):
self.mapper = None
def display_extent(self, x1, x2, y1, y2, z1, z2):
tmp_mask = np.zeros(evals.shape[:3], dtype=np.bool)
tmp_mask[x1:x2 + 1, y1:y2 + 1, z1:z2 + 1] = True
tmp_mask = np.bitwise_and(tmp_mask, mask)
self.mapper = _tensor_slicer_mapper(evals=evals,
evecs=evecs,
affine=affine,
mask=tmp_mask,
sphere=sphere,
scale=scale,
norm=norm,
scalar_colors=scalar_colors)
self.SetMapper(self.mapper)
def display(self, x=None, y=None, z=None):
if x is None and y is None and z is None:
self.display_extent(0, szx - 1, 0, szy - 1,
int(np.floor(szz/2)), int(np.floor(szz/2)))
if x is not None:
self.display_extent(x, x, 0, szy - 1, 0, szz - 1)
if y is not None:
self.display_extent(0, szx - 1, y, y, 0, szz - 1)
if z is not None:
self.display_extent(0, szx - 1, 0, szy - 1, z, z)
tensor_actor = TensorSlicerActor()
tensor_actor.display_extent(0, szx - 1, 0, szy - 1,
int(np.floor(szz/2)), int(np.floor(szz/2)))
tensor_actor.GetProperty().SetOpacity(opacity)
return tensor_actor
def _tensor_slicer_mapper(evals, evecs, affine=None, mask=None, sphere=None,
scale=2.2, norm=True, scalar_colors=None):
"""Helper function for slicing tensor fields
Parameters
----------
evals : (3,) or (X, 3) or (X, Y, 3) or (X, Y, Z, 3) ndarray
eigenvalues
evecs : (3, 3) or (X, 3, 3) or (X, Y, 3, 3) or (X, Y, Z, 3, 3) ndarray
eigenvectors
affine : array
4x4 transformation array from native coordinates to world coordinates
mask : ndarray
3D mask
sphere : Sphere
a sphere
scale : float
Distance between spheres.
norm : bool
Normalize `sphere_values`.
scalar_colors : (3,) or (X, 3) or (X, Y, 3) or (X, Y, Z, 3) ndarray
RGB colors used to show the tensors
Default None, color the ellipsoids using ``color_fa``
Returns
---------
mapper : vtkPolyDataMapper
Ellipsoid mapper
"""
if mask is None:
mask = np.ones(evals.shape[:3])
ijk = np.ascontiguousarray(np.array(np.nonzero(mask)).T)
if len(ijk) == 0:
return None
if affine is not None:
ijk = np.ascontiguousarray(apply_affine(affine, ijk))
faces = np.asarray(sphere.faces, dtype=int)
vertices = sphere.vertices
if scalar_colors is None:
from dipy.reconst.dti import color_fa, fractional_anisotropy
cfa = color_fa(fractional_anisotropy(evals), evecs)
else:
cfa = _makeNd(scalar_colors, 4)
cols = np.zeros((ijk.shape[0],) + sphere.vertices.shape,
dtype='f4')
all_xyz = []
all_faces = []
for (k, center) in enumerate(ijk):
ea = evals[tuple(center.astype(np.int))]
if norm:
ea /= ea.max()
ea = np.diag(ea.copy())
ev = evecs[tuple(center.astype(np.int))].copy()
xyz = np.dot(ev, np.dot(ea, vertices.T))
xyz = xyz.T
all_xyz.append(scale * xyz + center)
all_faces.append(faces + k * xyz.shape[0])
cols[k, ...] = np.interp(cfa[tuple(center.astype(np.int))], [0, 1],
[0, 255]).astype('ubyte')
all_xyz = np.ascontiguousarray(np.concatenate(all_xyz))
all_xyz_vtk = numpy_support.numpy_to_vtk(all_xyz, deep=True)
all_faces = np.concatenate(all_faces)
all_faces = np.hstack((3 * np.ones((len(all_faces), 1)),
all_faces))
ncells = len(all_faces)
all_faces = np.ascontiguousarray(all_faces.ravel(), dtype='i8')
all_faces_vtk = numpy_support.numpy_to_vtkIdTypeArray(all_faces,
deep=True)
points = vtk.vtkPoints()
points.SetData(all_xyz_vtk)
cells = vtk.vtkCellArray()
cells.SetCells(ncells, all_faces_vtk)
cols = np.ascontiguousarray(
np.reshape(cols, (cols.shape[0] * cols.shape[1],
cols.shape[2])), dtype='f4')
vtk_colors = numpy_support.numpy_to_vtk(
cols,
deep=True,
array_type=vtk.VTK_UNSIGNED_CHAR)
vtk_colors.SetName("Colors")
polydata = vtk.vtkPolyData()
polydata.SetPoints(points)
polydata.SetPolys(cells)
polydata.GetPointData().SetScalars(vtk_colors)
mapper = vtk.vtkPolyDataMapper()
mapper.SetInputData(polydata)
return mapper
[docs]def peak_slicer(peaks_dirs, peaks_values=None, mask=None, affine=None,
colors=(1, 0, 0), opacity=1., linewidth=1,
lod=False, lod_points=10 ** 4, lod_points_size=3):
"""Visualize peak directions as given from ``peaks_from_model``.
Parameters
----------
peaks_dirs : ndarray
Peak directions. The shape of the array can be (M, 3) or (X, M, 3) or
(X, Y, M, 3) or (X, Y, Z, M, 3)
peaks_values : ndarray
Peak values. The shape of the array can be (M, ) or (X, M) or
(X, Y, M) or (X, Y, Z, M)
affine : array
4x4 transformation array from native coordinates to world coordinates
mask : ndarray
3D mask
colors : tuple or None
Default red color. If None then every peak gets an orientation color
in similarity to a DEC map.
opacity : float, optional
Takes values from 0 (fully transparent) to 1 (opaque)
linewidth : float, optional
Line thickness. Default is 1.
lod : bool
Use vtkLODActor(level of detail) rather than vtkActor.
Default is False. Level of detail actors do not render the full
geometry when the frame rate is low.
lod_points : int
Number of points to be used when LOD is in effect. Default is 10000.
lod_points_size : int
Size of points when lod is in effect. Default is 3.
Returns
-------
vtkActor
See Also
--------
fury.actor.odf_slicer
"""
peaks_dirs = np.asarray(peaks_dirs)
if peaks_dirs.ndim > 5:
raise ValueError("Wrong shape")
peaks_dirs = _makeNd(peaks_dirs, 5)
if peaks_values is not None:
peaks_values = _makeNd(peaks_values, 4)
grid_shape = np.array(peaks_dirs.shape[:3])
if mask is None:
mask = np.ones(grid_shape).astype(np.bool)
class PeakSlicerActor(vtk.vtkLODActor):
def __init__(self):
self.line = None
def display_extent(self, x1, x2, y1, y2, z1, z2):
tmp_mask = np.zeros(grid_shape, dtype=np.bool)
tmp_mask[x1:x2 + 1, y1:y2 + 1, z1:z2 + 1] = True
tmp_mask = np.bitwise_and(tmp_mask, mask)
ijk = np.ascontiguousarray(np.array(np.nonzero(tmp_mask)).T)
if len(ijk) == 0:
self.SetMapper(None)
return
if affine is not None:
ijk_trans = np.ascontiguousarray(apply_affine(affine, ijk))
list_dirs = []
for index, center in enumerate(ijk):
# center = tuple(center)
if affine is None:
xyz = center[:, None]
else:
xyz = ijk_trans[index][:, None]
xyz = xyz.T
for i in range(peaks_dirs[tuple(center)].shape[-2]):
if peaks_values is not None:
pv = peaks_values[tuple(center)][i]
else:
pv = 1.
symm = np.vstack((-peaks_dirs[tuple(center)][i] * pv + xyz,
peaks_dirs[tuple(center)][i] * pv + xyz))
list_dirs.append(symm)
self.line = line(list_dirs, colors=colors,
opacity=opacity, linewidth=linewidth,
lod=lod, lod_points=lod_points,
lod_points_size=lod_points_size)
self.SetProperty(self.line.GetProperty())
self.SetMapper(self.line.GetMapper())
def display(self, x=None, y=None, z=None):
if x is None and y is None and z is None:
self.display_extent(0, szx - 1, 0, szy - 1,
int(np.floor(szz/2)), int(np.floor(szz/2)))
if x is not None:
self.display_extent(x, x, 0, szy - 1, 0, szz - 1)
if y is not None:
self.display_extent(0, szx - 1, y, y, 0, szz - 1)
if z is not None:
self.display_extent(0, szx - 1, 0, szy - 1, z, z)
peak_actor = PeakSlicerActor()
szx, szy, szz = grid_shape
peak_actor.display_extent(0, szx - 1, 0, szy - 1,
int(np.floor(szz / 2)), int(np.floor(szz / 2)))
return peak_actor
[docs]def dots(points, color=(1, 0, 0), opacity=1, dot_size=5):
"""Create one or more 3d points.
Parameters
----------
points : ndarray, (N, 3)
color : tuple (3,)
opacity : float, optional
Takes values from 0 (fully transparent) to 1 (opaque)
dot_size : int
Returns
--------
vtkActor
See Also
---------
fury.actor.point
"""
if points.ndim == 2:
points_no = points.shape[0]
else:
points_no = 1
polyVertexPoints = vtk.vtkPoints()
polyVertexPoints.SetNumberOfPoints(points_no)
aPolyVertex = vtk.vtkPolyVertex()
aPolyVertex.GetPointIds().SetNumberOfIds(points_no)
cnt = 0
if points.ndim > 1:
for point in points:
polyVertexPoints.InsertPoint(cnt, point[0], point[1], point[2])
aPolyVertex.GetPointIds().SetId(cnt, cnt)
cnt += 1
else:
polyVertexPoints.InsertPoint(cnt, points[0], points[1], points[2])
aPolyVertex.GetPointIds().SetId(cnt, cnt)
cnt += 1
aPolyVertexGrid = vtk.vtkUnstructuredGrid()
aPolyVertexGrid.Allocate(1, 1)
aPolyVertexGrid.InsertNextCell(aPolyVertex.GetCellType(),
aPolyVertex.GetPointIds())
aPolyVertexGrid.SetPoints(polyVertexPoints)
aPolyVertexMapper = vtk.vtkDataSetMapper()
aPolyVertexMapper.SetInputData(aPolyVertexGrid)
aPolyVertexActor = vtk.vtkActor()
aPolyVertexActor.SetMapper(aPolyVertexMapper)
aPolyVertexActor.GetProperty().SetColor(color)
aPolyVertexActor.GetProperty().SetOpacity(opacity)
aPolyVertexActor.GetProperty().SetPointSize(dot_size)
return aPolyVertexActor
[docs]def point(points, colors, _opacity=1., point_radius=0.1, theta=8, phi=8):
"""Visualize points as sphere glyphs
Parameters
----------
points : ndarray, shape (N, 3)
colors : ndarray (N,3) or tuple (3,)
point_radius : float
theta : int
phi : int
opacity : float, optional
Takes values from 0 (fully transparent) to 1 (opaque)
Returns
-------
vtkActor
Examples
--------
>>> from fury import window, actor
>>> scene = window.Scene()
>>> pts = np.random.rand(5, 3)
>>> point_actor = actor.point(pts, window.colors.coral)
>>> scene.add(point_actor)
>>> # window.show(scene)
"""
return sphere(centers=points, colors=colors, radii=point_radius,
theta=theta, phi=phi, vertices=None, faces=None)
[docs]def sphere(centers, colors, radii=1., theta=16, phi=16,
vertices=None, faces=None):
"""Visualize one or many spheres with different colors and radii
Parameters
----------
centers : ndarray, shape (N, 3)
colors : ndarray (N,3) or (N, 4) or tuple (3,) or tuple (4,)
RGB or RGBA (for opacity) R, G, B and A should be at the range [0, 1]
radii : float or ndarray, shape (N,)
theta : int
phi : int
vertices : ndarray, shape (N, 3)
faces : ndarray, shape (M, 3)
If faces is None then a sphere is created based on theta and phi angles
If not then a sphere is created with the provided vertices and faces.
Returns
-------
vtkActor
Examples
--------
>>> from fury import window, actor
>>> scene = window.Scene()
>>> centers = np.random.rand(5, 3)
>>> sphere_actor = actor.sphere(centers, window.colors.coral)
>>> scene.add(sphere_actor)
>>> # window.show(scene)
"""
if np.array(colors).ndim == 1:
colors = np.tile(colors, (len(centers), 1))
if isinstance(radii, (float, int)):
radii = radii * np.ones(len(centers), dtype='f8')
pts = numpy_to_vtk_points(np.ascontiguousarray(centers))
cols = numpy_to_vtk_colors(255 * np.ascontiguousarray(colors))
cols.SetName('colors')
radii_fa = numpy_support.numpy_to_vtk(
np.ascontiguousarray(radii.astype('f8')), deep=0)
radii_fa.SetName('rad')
polydata_centers = vtk.vtkPolyData()
polydata_sphere = vtk.vtkPolyData()
if faces is None:
src = vtk.vtkSphereSource()
src.SetRadius(1)
src.SetThetaResolution(theta)
src.SetPhiResolution(phi)
else:
set_polydata_vertices(polydata_sphere, vertices)
set_polydata_triangles(polydata_sphere, faces)
polydata_centers.SetPoints(pts)
polydata_centers.GetPointData().AddArray(radii_fa)
polydata_centers.GetPointData().SetActiveScalars('rad')
polydata_centers.GetPointData().AddArray(cols)
glyph = vtk.vtkGlyph3D()
if faces is None:
glyph.SetSourceConnection(src.GetOutputPort())
else:
glyph.SetSourceData(polydata_sphere)
glyph.SetInputData(polydata_centers)
glyph.Update()
mapper = vtk.vtkPolyDataMapper()
mapper.SetInputData(glyph.GetOutput())
mapper.SetScalarModeToUsePointFieldData()
mapper.SelectColorArray('colors')
actor = vtk.vtkActor()
actor.SetMapper(mapper)
return actor
[docs]def cone(centers, directions, colors, heights=1., resolution=10,
vertices=None, faces=None):
"""Visualize one or many cones with different colors and radii
Parameters
----------
centers : ndarray, shape (N, 3)
directions : ndarray, shape (N, 3)
The orientation vector of the cone.
colors : ndarray (N,3) or (N, 4) or tuple (3,) or tuple (4,)
RGB or RGBA (for opacity) R, G, B and A should be at the range [0, 1]
heights : ndarray, shape (N)
The height of the cone.
resolution : int
The resolution of the cone.
vertices : ndarray, shape (N, 3)
faces : ndarray, shape (M, 3)
If faces is None then a cone is created based on directions, heights
and resolution. If not then a cone is created with the provided
vertices and faces.
Returns
-------
vtkActor
Examples
--------
>>> from fury import window, actor
>>> scene = window.Scene()
>>> centers = np.random.rand(5, 3)
>>> directions = np.random.rand(5, 3)
>>> heights = np.random.rand(5)
>>> cone_actor = actor.cone(centers, directions, (1, 1, 1), heights)
>>> scene.add(cone_actor)
>>> # window.show(scene)
"""
if np.array(colors).ndim == 1:
colors = np.tile(colors, (len(centers), 1))
pts = numpy_to_vtk_points(np.ascontiguousarray(centers))
cols = numpy_to_vtk_colors(255 * np.ascontiguousarray(colors))
cols.SetName('colors')
if isinstance(heights, np.ndarray):
heights_fa = numpy_support.numpy_to_vtk(np.asarray(heights),
deep=True,
array_type=vtk.VTK_DOUBLE)
heights_fa.SetName('heights')
directions_fa = numpy_support.numpy_to_vtk(np.asarray(directions),
deep=True,
array_type=vtk.VTK_DOUBLE)
directions_fa.SetName('directions')
polydata_centers = vtk.vtkPolyData()
polydata_cone = vtk.vtkPolyData()
if faces is None:
src = vtk.vtkConeSource()
src.SetResolution(resolution)
if isinstance(heights, int):
src.SetHeight(heights)
else:
set_polydata_vertices(polydata_cone, vertices)
set_polydata_triangles(polydata_cone, faces)
polydata_centers.SetPoints(pts)
polydata_centers.GetPointData().AddArray(cols)
polydata_centers.GetPointData().AddArray(directions_fa)
polydata_centers.GetPointData().SetActiveVectors('directions')
if isinstance(heights, np.ndarray):
polydata_centers.GetPointData().AddArray(heights_fa)
polydata_centers.GetPointData().SetActiveScalars('heights')
glyph = vtk.vtkGlyph3D()
if faces is None:
glyph.SetSourceConnection(src.GetOutputPort())
else:
glyph.SetSourceData(polydata_cone)
glyph.SetInputData(polydata_centers)
glyph.SetOrient(True)
glyph.SetScaleModeToScaleByScalar()
glyph.SetVectorModeToUseVector()
glyph.Update()
mapper = vtk.vtkPolyDataMapper()
mapper.SetInputData(glyph.GetOutput())
mapper.SetScalarModeToUsePointFieldData()
mapper.SelectColorArray('colors')
actor = vtk.vtkActor()
actor.SetMapper(mapper)
return actor
[docs]def label(text='Origin', pos=(0, 0, 0), scale=(0.2, 0.2, 0.2),
color=(1, 1, 1)):
"""Create a label actor.
This actor will always face the camera
Parameters
----------
text : str
Text for the label.
pos : (3,) array_like, optional
Left down position of the label.
scale : (3,) array_like
Changes the size of the label.
color : (3,) array_like
Label color as ``(r,g,b)`` tuple.
Returns
-------
l : vtkActor object
Label.
Examples
--------
>>> from fury import window, actor
>>> scene = window.Scene()
>>> l = actor.label(text='Hello')
>>> scene.add(l)
>>> #window.show(scene)
"""
atext = vtk.vtkVectorText()
atext.SetText(text)
textm = vtk.vtkPolyDataMapper()
textm.SetInputConnection(atext.GetOutputPort())
texta = vtk.vtkFollower()
texta.SetMapper(textm)
texta.SetScale(scale)
texta.GetProperty().SetColor(color)
texta.SetPosition(pos)
return texta
[docs]def text_3d(text, position=(0, 0, 0), color=(1, 1, 1),
font_size=12, font_family='Arial', justification='left',
vertical_justification="bottom",
bold=False, italic=False, shadow=False):
""" Generate 2D text that lives in the 3D world
Parameters
----------
text : str
position : tuple
color : tuple
font_size : int
font_family : str
justification : str
Left, center or right (default left)
vertical_justification : str
Bottom, middle or top (default bottom)
bold : bool
italic : bool
shadow : bool
Returns
-------
textActor3D
"""
class TextActor3D(vtk.vtkTextActor3D):
def message(self, text):
self.set_message(text)
def set_message(self, text):
self.SetInput(text)
self._update_user_matrix()
def get_message(self):
return self.GetInput()
def font_size(self, size):
self.GetTextProperty().SetFontSize(24)
text_actor.SetScale((1./24.*size,)*3)
self._update_user_matrix()
def font_family(self, _family='Arial'):
self.GetTextProperty().SetFontFamilyToArial()
# self._update_user_matrix()
def justification(self, justification):
tprop = self.GetTextProperty()
if justification == 'left':
tprop.SetJustificationToLeft()
elif justification == 'center':
tprop.SetJustificationToCentered()
elif justification == 'right':
tprop.SetJustificationToRight()
else:
raise ValueError("Unknown justification: '{}'"
.format(justification))
self._update_user_matrix()
def vertical_justification(self, justification):
tprop = self.GetTextProperty()
if justification == 'top':
tprop.SetVerticalJustificationToTop()
elif justification == 'middle':
tprop.SetVerticalJustificationToCentered()
elif justification == 'bottom':
tprop.SetVerticalJustificationToBottom()
else:
raise ValueError("Unknown vertical justification: '{}'"
.format(justification))
self._update_user_matrix()
def font_style(self, bold=False, italic=False, shadow=False):
tprop = self.GetTextProperty()
if bold:
tprop.BoldOn()
else:
tprop.BoldOff()
if italic:
tprop.ItalicOn()
else:
tprop.ItalicOff()
if shadow:
tprop.ShadowOn()
else:
tprop.ShadowOff()
self._update_user_matrix()
def color(self, color):
self.GetTextProperty().SetColor(*color)
def set_position(self, position):
self.SetPosition(position)
def get_position(self):
return self.GetPosition()
def _update_user_matrix(self):
""" Text justification of vtkTextActor3D doesn't seem to be
working, so we do it manually. Yeah!
"""
user_matrix = np.eye(4)
text_bounds = [0, 0, 0, 0]
self.GetBoundingBox(text_bounds)
tprop = self.GetTextProperty()
if tprop.GetJustification() == vtk.VTK_TEXT_LEFT:
user_matrix[:3, -1] += (-text_bounds[0], 0, 0)
elif tprop.GetJustification() == vtk.VTK_TEXT_CENTERED:
tm = -(text_bounds[0] + (text_bounds[1] - text_bounds[0]) / 2.)
user_matrix[:3, -1] += (tm, 0, 0)
elif tprop.GetJustification() == vtk.VTK_TEXT_RIGHT:
user_matrix[:3, -1] += (-text_bounds[1], 0, 0)
if tprop.GetVerticalJustification() == vtk.VTK_TEXT_BOTTOM:
user_matrix[:3, -1] += (0, -text_bounds[2], 0)
elif tprop.GetVerticalJustification() == vtk.VTK_TEXT_CENTERED:
tm = -(text_bounds[2] + (text_bounds[3] - text_bounds[2]) / 2.)
user_matrix[:3, -1] += (0, tm, 0)
elif tprop.GetVerticalJustification() == vtk.VTK_TEXT_TOP:
user_matrix[:3, -1] += (0, -text_bounds[3], 0)
user_matrix[:3, -1] *= self.GetScale()
self.SetUserMatrix(numpy_to_vtk_matrix(user_matrix))
text_actor = TextActor3D()
text_actor.message(text)
text_actor.font_size(font_size)
text_actor.set_position(position)
text_actor.font_family(font_family)
text_actor.font_style(bold, italic, shadow)
text_actor.color(color)
text_actor.justification(justification)
text_actor.vertical_justification(vertical_justification)
return text_actor
[docs]class Container(object):
""" Provides functionalities for grouping multiple actors using a given
layout.
Attributes
----------
anchor : 3-tuple of float
Anchor of this container used when laying out items in a container.
The anchor point is relative to the center of the container.
Default: (0, 0, 0).
padding : 6-tuple of float
Padding around this container bounding box. The 6-tuple represents
(pad_x_neg, pad_x_pos, pad_y_neg, pad_y_pos, pad_z_neg, pad_z_pos).
Default: (0, 0, 0, 0, 0, 0)
"""
[docs] def __init__(self, layout=layout.Layout()):
"""
Parameters
----------
layout : ``fury.layout.Layout`` object
Items of this container will be arranged according to `layout`.
"""
self.layout = layout
self._items = []
self._need_update = True
self._position = np.zeros(3)
self._visibility = True
self.anchor = np.zeros(3)
self.padding = np.zeros(6)
@property
def items(self):
if self._need_update:
self.update()
return self._items
[docs] def add(self, *items, **kwargs):
""" Adds some items to this container.
Parameters
----------
items : `vtkProp3D` objects
Items to add to this container.
borrow : bool
If True the items are added as-is, otherwise a shallow copy is
made first. If you intend to reuse the items elsewhere you
should set `borrow=False`. Default: True.
"""
self._need_update = True
for item in items:
if not kwargs.get('borrow', True):
item = shallow_copy(item)
self._items.append(item)
[docs] def clear(self):
""" Clears all items of this container. """
self._need_update = True
del self._items[:]
[docs] def update(self):
""" Updates the position of the items of this container. """
self.layout.apply(self._items)
self._need_update = False
[docs] def add_to_scene(self, ren):
""" Adds the items of this container to a given renderer. """
for item in self.items:
if isinstance(item, Container):
item.add_to_scene(ren)
else:
ren.add(item)
[docs] def GetBounds(self):
""" Get the bounds of the container. """
bounds = np.zeros(6) # x1, x2, y1, y2, z1, z2
bounds[::2] = np.inf # x1, y1, z1
bounds[1::2] = -np.inf # x2, y2, z2
for item in self.items:
item_bounds = item.GetBounds()
bounds[::2] = np.minimum(bounds[::2], item_bounds[::2])
bounds[1::2] = np.maximum(bounds[1::2], item_bounds[1::2])
# Add padding, if any.
bounds[::2] -= self.padding[::2]
bounds[1::2] += self.padding[1::2]
return tuple(bounds)
[docs] def GetVisibility(self):
return self._visibility
[docs] def SetVisibility(self, visibility):
self._visibility = visibility
for item in self.items:
item.SetVisibility(visibility)
[docs] def GetPosition(self):
return self._position
[docs] def AddPosition(self, position):
self._position += position
for item in self.items:
item.AddPosition(position)
[docs] def SetPosition(self, position):
self.AddPosition(np.array(position) - self._position)
[docs] def GetCenter(self):
""" Get the center of the bounding box. """
x1, x2, y1, y2, z1, z2 = self.GetBounds()
return ((x1+x2)/2., (y1+y2)/2., (z1+z2)/2.)
[docs] def GetLength(self):
""" Get the length of bounding box diagonal. """
x1, x2, y1, y2, z1, z2 = self.GetBounds()
width, height, depth = x2-x1, y2-y1, z2-z1
return np.sqrt(np.sum([width**2, height**2, depth**2]))
[docs] def NewInstance(self):
return Container(layout=self.layout)
[docs] def ShallowCopy(self, other):
self._position = other._position.copy()
self._anchor = other._anchor
self.clear()
self.add(*other._items, borrow=False)
self.update()
def __len__(self):
return len(self._items)
[docs]def grid(actors, captions=None, caption_offset=(0, -100, 0), cell_padding=0,
cell_shape="rect", aspect_ratio=16/9., dim=None):
""" Creates a grid of actors that lies in the xy-plane.
Parameters
----------
actors : list of `vtkProp3D` objects
Actors to be layout in a grid manner.
captions : list of `vtkProp3D` objects or list of str
Objects serving as captions (can be any `vtkProp3D` object, not
necessarily text). There should be one caption per actor. By
default, there are no captions.
caption_offset : tuple of float (optional)
Tells where to position the caption w.r.t. the center of its
associated actor. Default: (0, -100, 0).
cell_padding : tuple of 2 floats or float
Each grid cell will be padded according to (pad_x, pad_y) i.e.
horizontally and vertically. Padding is evenly distributed on each
side of the cell. If a single float is provided then both pad_x and
pad_y will have the same value.
cell_shape : str
Specifies the desired shape of every grid cell.
'rect' ensures the cells are the tightest.
'square' ensures the cells are as wide as high.
'diagonal' ensures the content of the cells can be rotated without
colliding with content of the neighboring cells.
aspect_ratio : float
Aspect ratio of the grid (width/height). Default: 16:9.
dim : tuple of int
Dimension (nb_rows, nb_cols) of the grid. If provided,
`aspect_ratio` will be ignored.
Returns
-------
``fury.actor.Container`` object
Object that represents the grid containing all the actors and
captions, if any.
"""
grid_layout = layout.GridLayout(cell_padding=cell_padding,
cell_shape=cell_shape,
aspect_ratio=aspect_ratio, dim=dim)
grid = Container(layout=grid_layout)
if captions is not None:
actors_with_caption = []
for actor, caption in zip(actors, captions):
actor_center = np.array(actor.GetCenter())
# Offset accordingly the caption w.r.t.
# the center of the associated actor.
if isinstance(caption, str):
caption = text_3d(caption, justification='center')
else:
caption = shallow_copy(caption)
caption.SetPosition(actor_center + caption_offset)
actor_with_caption = Container()
actor_with_caption.add(actor, caption)
# We change the anchor of the container so
# the actor will be centered in the
# grid cell.
actor_with_caption.anchor = actor_center - \
actor_with_caption.GetCenter()
actors_with_caption.append(actor_with_caption)
actors = actors_with_caption
grid.add(*actors)
return grid