Created
October 1, 2016 22:08
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#!/usr/bin/python | |
import numpy as np | |
import sys | |
sys.path.append('/home/mohammad/Downloads/visit2_10_0.linux-x86_64/2.10.0/linux-x86_64/lib/site-packages') | |
import vtk | |
from vtk.util.vtkConstants import * | |
filename = sys.argv[1] | |
##### | |
def numpy2VTK(img,spacing=[1.0,1.0,1.0]): | |
# evolved from code from Stou S., | |
# on http://www.siafoo.net/snippet/314 | |
importer = vtk.vtkImageImport() | |
img_data = img.astype('uint8') | |
img_string = img_data.tostring() # type short | |
dim = img.shape | |
importer.CopyImportVoidPointer(img_string, len(img_string)) | |
importer.SetDataScalarType(VTK_UNSIGNED_CHAR) | |
importer.SetNumberOfScalarComponents(1) | |
extent = importer.GetDataExtent() | |
importer.SetDataExtent(extent[0], extent[0] + dim[2] - 1, | |
extent[2], extent[2] + dim[1] - 1, | |
extent[4], extent[4] + dim[0] - 1) | |
importer.SetWholeExtent(extent[0], extent[0] + dim[2] - 1, | |
extent[2], extent[2] + dim[1] - 1, | |
extent[4], extent[4] + dim[0] - 1) | |
importer.SetDataSpacing( spacing[0], spacing[1], spacing[2]) | |
importer.SetDataOrigin( 0,0,0 ) | |
return importer | |
def volumeRender(img, tf=[],spacing=[1.0,1.0,1.0]): | |
importer = numpy2VTK(img,spacing) | |
# Transfer Functions | |
opacity_tf = vtk.vtkPiecewiseFunction() | |
color_tf = vtk.vtkColorTransferFunction() | |
if len(tf) == 0: | |
tf.append([img.min(),0,0,0,0]) | |
tf.append([img.max(),1,1,1,1]) | |
for p in tf: | |
color_tf.AddRGBPoint(p[0], p[1], p[2], p[3]) | |
opacity_tf.AddPoint(p[0], p[4]) | |
# working on the GPU | |
# volMapper = vtk.vtkGPUVolumeRayCastMapper() | |
# volMapper.SetInputConnection(importer.GetOutputPort()) | |
# # The property describes how the data will look | |
# volProperty = vtk.vtkVolumeProperty() | |
# volProperty.SetColor(color_tf) | |
# volProperty.SetScalarOpacity(opacity_tf) | |
# volProperty.ShadeOn() | |
# volProperty.SetInterpolationTypeToLinear() | |
# working on the CPU | |
volMapper = vtk.vtkVolumeRayCastMapper() | |
compositeFunction = vtk.vtkVolumeRayCastCompositeFunction() | |
compositeFunction.SetCompositeMethodToInterpolateFirst() | |
volMapper.SetVolumeRayCastFunction(compositeFunction) | |
volMapper.SetInputConnection(importer.GetOutputPort()) | |
# The property describes how the data will look | |
volProperty = vtk.vtkVolumeProperty() | |
volProperty.SetColor(color_tf) | |
volProperty.SetScalarOpacity(opacity_tf) | |
volProperty.ShadeOn() | |
volProperty.SetInterpolationTypeToLinear() | |
# Do the lines below speed things up? | |
# pix_diag = 5.0 | |
# volMapper.SetSampleDistance(pix_diag / 5.0) | |
# volProperty.SetScalarOpacityUnitDistance(pix_diag) | |
vol = vtk.vtkVolume() | |
vol.SetMapper(volMapper) | |
vol.SetProperty(volProperty) | |
return [vol] | |
def vtk_basic( actors ): | |
""" | |
Create a window, renderer, interactor, add the actors and start the thing | |
Parameters | |
---------- | |
actors : list of vtkActors | |
Returns | |
------- | |
nothing | |
""" | |
# create a rendering window and renderer | |
ren = vtk.vtkRenderer() | |
renWin = vtk.vtkRenderWindow() | |
renWin.AddRenderer(ren) | |
renWin.SetSize(600,600) | |
# ren.SetBackground( 1, 1, 1) | |
# create a renderwindowinteractor | |
iren = vtk.vtkRenderWindowInteractor() | |
iren.SetRenderWindow(renWin) | |
for a in actors: | |
# assign actor to the renderer | |
ren.AddActor(a ) | |
# render | |
renWin.Render() | |
# enable user interface interactor | |
iren.Initialize() | |
iren.Start() | |
##### | |
#img = sitk.ReadImage( filename ) # SimpleITK object | |
#data = sitk.GetArrayFromImage( img ).astype('float') # numpy array | |
data = np.random.rand(100, 100, 100) | |
data *= 255 / data.max() | |
from scipy.stats.mstats import mquantiles | |
q = mquantiles(data.flatten(),[0.7,0.98]) | |
q[0]=max(q[0],1) | |
q[1] = max(q[1],1) | |
tf=[[0,0,0,0,0],[q[0],0,0,0,0],[q[1],1,1,1,0.5],[data.max(),1,1,1,1]] | |
actor_list = volumeRender(data, tf=tf) | |
vtk_basic(actor_list) |
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