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Scientific Visualization using VTK

Scientific Visualization using VTK. Robert Putnam putnam@bu.edu. Scientific Visualization using VTK – Spring 2011. Outline. Introduction VTK overview VTK data geometry/topology Case study Interactive session. Scientific Visualization using VTK – Spring 2011. Introduction.

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Scientific Visualization using VTK

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  1. Scientific Visualization using VTK Robert Putnam putnam@bu.edu Scientific Visualization using VTK – Spring 2011

  2. Outline • Introduction • VTK overview • VTK data geometry/topology • Case study • Interactive session Scientific Visualization using VTK – Spring 2011

  3. Introduction • Visualization: converting raw data to a form that is viewable and understandable to humans. • Scientific visualization: specifically concerned with data that has a well-defined representation in 2D or 3D space (e.g., from simulation mesh or scanner). *Adaptedfrom The ParaView Tutorial, Moreland Scientific Visualization using VTK – Spring 2011

  4. VTK Visualization Toolkit • Open source • Set of object-oriented class libraries for visualization and data analysis • Several language interfaces • C++ • Tcl • Java • Python • Portable (MS Windows, Linux, OSX) • Active developer community • Good documentation available, free and otherwise • Professional support services available from Kitware Scientific Visualization using VTK – Spring 2011

  5. Generic visualization pipeline Source(s) Filters(s) Output - - - - - - - - - - - - - - - - - - - - - data/geometry/topology graphics Scientific Visualization using VTK – Spring 2011

  6. VTK terminology/model Source Filter Mapper Renderer - - - - - - - - - - - - - - - - - - - - - data/geometry/topology graphics Scientific Visualization using VTK – Spring 2011

  7. VTK terminology/model “Scene" Lights, Camera Actor Source/ Reader Filter Mapper Renderer - - - - - - - - - - - - - - - - - - - - - DataObject ProcessObject RenderWindow graphics data/geometry/topology Scientific Visualization using VTK – Spring 2011

  8. Reader Filter Mapper Actor RenderWindow Renderer Pipeline -> Sample Code vtkStructuredGridReader reader reader SetFileName "density.vtk" reader Update vtkContourFilter iso iso SetInputConnection [reader GetOutputPort] iso SetValue 0 .26 vtkPolyDataMapper isoMapper isoMapper SetInputConnection [iso GetOutputPort] vtkActor isoActor isoActor SetMapper isoMapper vtkRenderer ren1 ren1 AddActor isoActor vtkRenderWindow renWin renWin AddRenderer ren1 renWin SetSize 500 500 renWin Render Scientific Visualization using VTK – Spring 2011

  9. TCL v. C++ • TCL • C++ vtkStructuredGridReader reader reader SetFileName "density.vtk" reader Update vtkContourFilter iso iso SetInputConnection [reader GetOutputPort] iso SetValue 0 .26 vtkStructuredGridReader *reader = vtkStructuredGridReader::New(); reader->SetFileName("density.vtk"); reader->Update(); vtkContourFilter *iso = vtkCountourFilter::New(); iso->SetInputConnection(reader->GetOutputPort()); iso->SetValue(0, .26); Scientific Visualization using VTK – Spring 2011

  10. Coding tip of the day! • Google “VTK class list”, or • Go to: http://www.vtk.org/doc/nightly/html/annotated.html Scientific Visualization using VTK – Spring 2011

  11. VTK – Geometry v. Topology • Geometry of a dataset ~= points 0,1 1,1 2,1 3,1 0,0 1,0 2,0 3,0 • Topology ~= connections among points, which define cells • So, what’s the topology here? Scientific Visualization using VTK – Spring 2011

  12. VTK – Geometry v. Topology 0,1 1,1 2,1 3,1 0,0 1,0 2,0 3,0 Scientific Visualization using VTK – Spring 2011

  13. VTK – Geometry v. Topology 0,1 1,1 2,1 3,1 0,0 1,0 2,0 3,0 or 0,1 1,1 2,1 3,1 0,0 1,0 2,0 3,0 Scientific Visualization using VTK – Spring 2011

  14. VTK – Geometry v. Topology or 0,1 1,1 2,1 3,1 0,1 1,1 2,1 3,1 0,0 1,0 2,0 3,0 0,0 1,0 2,0 3,0 or 0,1 1,1 2,1 3,1 0,0 1,0 2,0 3,0 Scientific Visualization using VTK – Spring 2011

  15. VTK – Geometry v. Topology or 0,1 1,1 2,1 3,1 0,1 1,1 2,1 3,1 0,0 1,0 2,0 3,0 0,0 1,0 2,0 3,0 or or 0,1 1,1 2,1 3,1 0,1 1,1 2,1 3,1 0,0 1,0 2,0 3,0 0,0 1,0 2,0 3,0 Scientific Visualization using VTK – Spring 2011

  16. Geometry/Topology Structure • Structure may be regular or irregular • Regular (structured) • need to store only beginning position, spacing, number of points • smaller memory footprint per cell (topology can be generated on the fly) • examples: image data, rectilinear grid, structured grid • Irregular (unstructured) • information can be represented more densely where it changes quickly • higher memory footprint (topology must be explicitly written) but more freedom • examples: polygonal data, unstructured grid Scientific Visualization using VTK – Spring 2011

  17. Characteristics of Data • Data is organized into datasets for visualization • Datasets consist of two pieces • organizing structure • points (geometry) • cells (topology) • data attributes associated with the structure • File format derived from organizing structure • Data is discrete • Interpolation functions generate data values in between known points Scientific Visualization using VTK – Spring 2011

  18. Structured Points (Image Data) • regular in both topology and geometry • examples: lines, pixels, voxels • applications: imaging CT, MRI • Rectilinear Grid • regular topology but geometry only partially regular • examples: pixels, voxels • Structured Grid (Curvilinear) • regular topology and irregular geometry • examples: quadrilaterals, hexahedron • applications: fluid flow, heat transfer Examples of Dataset Types Scientific Visualization using VTK – Spring 2011

  19. Examples of Dataset Types (cont) • Polygonal Data • irregular in both topology and geometry • examples: vertices, polyvertices, lines, polylines, polygons, triangle strips • Unstructured Grid • irregular in both topology and geometry • examples: any combination of cells • applications: finite element analysis, structural design, vibration Scientific Visualization using VTK – Spring 2011

  20. Examples of Cell Types Scientific Visualization using VTK – Spring 2011

  21. Data Attributes • Data attributes associated with the organizing structure • Scalars • single valued • examples: temperature, pressure, density, elevation • Vectors • magnitude and direction • examples: velocity, momentum • Normals • direction vectors (magnitude of 1) used for shading • Texture Coordinates • used to map a point in Cartesian space into 1, 2, or 3D texture space • used for texture mapping • Tensors • 3x3 only • examples: stress, strain Scientific Visualization using VTK – Spring 2011

  22. File Format – Structured Points Editor structured-points.vtk: # vtk DataFile Version 3.0 first dataset ASCII DATASET STRUCTURED_POINTS DIMENSIONS 3 4 5 ORIGIN 0 0 0 SPACING 1 1 2 POINT_DATA 60 SCALARS temp-point float LOOKUP_TABLE default 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 Scientific Visualization using VTK – Spring 2011

  23. File Format – Structured Points Editor structured-points.vtk: # vtk DataFile Version 3.0 first dataset ASCII DATASET STRUCTURED_POINTS DIMENSIONS 3 4 5 ORIGIN 0 0 0 SPACING 1 1 2 POINT_DATA 60 SCALARS temp-point float LOOKUP_TABLE default 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 Scientific Visualization using VTK – Spring 2011

  24. File Format – Structured Points Editor structured-points2.vtk: # vtk DataFile Version 3.0 first dataset ASCII DATASET STRUCTURED_POINTS DIMENSIONS 3 4 5 ORIGIN 0 0 0 SPACING 1 1 2 CELL_DATA 24 SCALARS temp-cell float LOOKUP_TABLE default 0 0 1 1 0 0 0 0 1 1 0 0 0 0 1 1 0 0 0 0 1 1 0 0 Scientific Visualization using VTK – Spring 2011

  25. File Format – Structured Points Editor structured-points2.vtk: # vtk DataFile Version 3.0 first dataset ASCII DATASET STRUCTURED_POINTS DIMENSIONS 3 4 5 ORIGIN 0 0 0 SPACING 1 1 2 CELL_DATA 24 SCALARS temp-cell float LOOKUP_TABLE default 0 0 1 1 0 0 0 0 1 1 0 0 0 0 1 1 0 0 0 0 1 1 0 0 Scientific Visualization using VTK – Spring 2011

  26. Structured Points – Tcl code Editor structured-points.tcl: vtkStructuredPointsReader reader reader SetFileName "structured-points.vtk" reader Update vtkLookupTable lut lut SetNumberOfColors 2 lut SetTableValue 0 0.0 0.0 1.0 1 lut SetTableValue 1 1.0 0.0 0.0 1 vtkDataSetMapper mapper mapper SetInputConnection [reader GetOutputPort] mapper SetLookupTable lut vtkActor actor actor SetMapper mapper [actor GetProperty] EdgeVisibilityOn [actor GetProperty] SetLineWidth 2 Scientific Visualization using VTK – Spring 2011

  27. Structured Points – Tcl code (cont.) Editor structured-points.tcl: vtkRenderer ren1 ren1 AddActor actor ren1 SetBackground 0.5 0.5 0.5 vtkRenderWindow renWin renWin AddRenderer ren1 renWin SetSize 500 500 vtkRenderWindowInteractor iren iren SetRenderWindow renWin iren Initialize wm withdraw . Scientific Visualization using VTK – Spring 2011

  28. Work flow – Case Study • BU Space Physics simulation • Meteor trails in the ionosphere • Data wrangling: • Consolidate datafiles (from parallel code), create single binary datafile • Add VTK header: # vtk DataFile Version 3.0 output of reassemble.c BINARY DATASET STRUCTURED_POINTS ORIGIN 0.0 0.0 0.0 SPACING 1.0 1.0 1.0 DIMENSIONS 512 64 128 POINT_DATA 4194304 SCALARS plasma float LOOKUP_TABLE default Scientific Visualization using VTK – Spring 2011

  29. Work flow – Case Study • Use Tcl for fast development/testing: vtkStructuredPointsReader reader reader SetFileName "opp.vtk" reader Update vtkContourFilter iso iso SetInputConnection \ [reader GetOutputPort] iso SetValue 0 0.1 . . . Scientific Visualization using VTK – Spring 2011

  30. Work flow – Case Study • Add gaussian filter : vtkImageGaussianSmooth gaussian gaussian SetInputConnection [reader GetOutputPort] gaussian SetDimensionality 3 gaussian SetRadiusFactor 1 vtkContourFilter iso iso SetInputConnection \ [gaussian GetOutputPort] iso SetValue 0 0.1 . . . Scientific Visualization using VTK – Spring 2011

  31. Work flow – Case Study • Add more isosurfaces : vtkContourFilter iso iso SetInputConnection [gaussian GetOutputPort] iso SetValue 0 1.0 iso SetValue 1 0.5 iso SetValue 2 0.1 Scientific Visualization using VTK – Spring 2011

  32. Work flow – Case Study • Port to C++, add cutplane, transparency : vtkPlane *plane = vtkPlane::New(); plane->SetOrigin(256,2,63.5); plane->SetNormal(0,1,0); vtkCutter *planeCut = vtkCutter::New(); planeCut->SetInputConnection(reader->GetOutputPort()); planeCut->SetCutFunction(plane); Scientific Visualization using VTK – Spring 2011

  33. Work flow – Case Study • Change color map, use script to loop over *.vtk, generate multiple jpegs, read into Adobe Premiere, produce animation: Scientific Visualization using VTK – Spring 2011

  34. VTK – Getting Started - UI Unix Shell: katana:% vtk cone2.tcl Scientific Visualization using VTK – Spring 2011

  35. Keyboard shortcuts j – joystick (continuous) mode t – trackball mode c –camera move mode a –actor move mode left mouse – rotate x,y ctrl - left mouse – rotate z middle mouse –pan right mouse –zoom r –reset camera s/w –surface/wireframe e –exit Scientific Visualization using VTK – Spring 2011

  36. Code – cone2.tcl Editor cone2.tcl: vtkConeSource cone cone SetResolution 100 vtkPolyDataMapper coneMapper coneMapper SetInput [cone GetOutput] vtkActor coneActor coneActor SetMapper coneMapper [coneActor GetProperty] SetColor 1.0 0.0 0.0 vtkRenderer ren1 ren1 SetBackground 0.0 0.0 0.0 ren1 AddActor coneActor vtkRenderWindow renWin renWin SetSize 500 500 renWin AddRenderer ren1 vtkRenderWindowInteractor iren iren SetRenderWindow renWin iren Initialize Scientific Visualization using VTK – Spring 2011

  37. Exercise Editor: cone3.tcl Add coneActor2, and color it green. (Copy coneActor, and make appropriate changes. Remember to add the new actor to the render window [near the end of the “pipeline”].) Optional: to rotate, scale and set the position away from the origin, use the following: coneActor2 RotateZ 90 coneActor2 SetScale 0.5 0.5 0.5 coneActor2 SetPosition -1.0 0.0 0.0 Scientific Visualization using VTK – Spring 2011

  38. Code – Exercise Editor: cone3.tcl . . . vtkActor coneActor2 coneActor2 SetMapper coneMapper [coneActor2 GetProperty] SetColor 0.0 1.0 0.0 coneActor2 RotateZ 90 coneActor2 SetScale 0.5 0.5 0.5 coneActor2 SetPosition -1.0 0.0 0.0 . . . ren1 AddActor coneActor ren1 AddActor coneActor2 . . . Scientific Visualization using VTK – Spring 2011

  39. VTK - Readers • Image and Volume Readers • vtkStructuredPointsReader - read VTK structured points data files • vtkSLCReader - read SLC structured points files • vtkTIFFReader - read files in TIFF format • vtkVolumeReader - read image (volume) files • vtkVolume16Reader - read 16-bit image (volume) files • Structured Grid Readers • vtkStructuredGridReader - read VTK structured grid data files • vtkPLOT3DReader - read structured grid PLOT3D files • Rectilinear Grid Readers • vtkRectilinearGridReader - read VTK rectilinear grid data files • Unstructured Grid Readers • vtkUnstructuredGridReader - read VTK unstructured grid data files Scientific Visualization using VTK – Spring 2011

  40. VTK - Readers • Polygonal Data Readers • vtkPolyDataReader - read VTK polygonal data files • vtkBYUReader - read MOVIE.BYU files • vtkMCubesReader - read binary marching cubes files • vtkOBJReader - read Wavefront (Maya) .obj files • vtkPLYReader - read Stanford University PLY polygonal data files • vtkSTLReader - read stereo-lithography files • vtkUGFacetReader - read EDS Unigraphic facet files • Image and Volume Readers (add’l) • vtkBMPReader - read PC bitmap files • vtkDEMReader - read digital elevation model files • vtkJPEGReader - read JPEG files • vtkImageReader - read various image files • vtkPNMReader - read PNM (ppm, pgm, pbm) files • vtkPNGRReader - read Portable Network Graphic files Scientific Visualization using VTK – Spring 2011

  41. File Format – Structured Grid Editor density.vtk: # vtk DataFile Version 3.0 vtk output ASCII DATASET STRUCTURED_GRID DIMENSIONS 57 33 25 POINTS 47025 float 2.667 -3.77476 23.8329 2.94346 -3.74825 23.6656 3.21986 -3.72175 23.4982 3.50007 -3.70204 23.3738 3.9116 -3.72708 23.5319 4.1656 -3.69529 23.3312 . . . POINT_DATA 47025 SCALARS Density float LOOKUP_TABLE default 0.639897 0.239841 0.252319 0.255393 0.252118 0.246661 0.240134 0.234116 0.229199 0.225886 0.224268 0.224647 0.231496 0.246895 0.26417 0.27585 0.278987 0.274621 . . . VECTORS Momentum float 0 0 0 13.753 -5.32483 -19.964 42.3106 -15.57 -43.0034 64.2447 -13.3958 -46.2281 73.7861 -4.83205 -36.3829 88.3374 6.23797 -22.8846 . . . Scientific Visualization using VTK – Spring 2011

  42. Clipping, Cutting, Subsampling Selection Algorithms - Clipping • can reveal internal details of surface • VTK - vtkClipDataSet - Cutting/Slicing • cutting through a dataset with a surface • VTK - vtkCutter - Subsampling • reduces data size by selecting a subset of the original data • VTK - vtkExtractGrid Scientific Visualization using VTK – Spring 2011

  43. Code – Clipping Editor: clipping.tcl vtkStructuredGridReader reader reader SetFileName “density.vtk” reader Update vtkPlane plane eval plane SetOrigin [[reader GetOutput] GetCenter] plane SetNormal -0.287 0 0.9579 vtkClipDataSet clip clip SetInputConnection [reader GetOutputPort] clip SetClipFunction plane clip InsideOutOn vtkDataSetMapper clipMapper clipMapper SetInputConnection [clip GetOutputPort] eval clipMapper SetScalarRange [[reader GetOutput] GetScalarRange] vtkActor clipActor clipActor SetMapper clipMapper Scientific Visualization using VTK – Spring 2011

  44. Code – Cutplane/Slicing Editor: cutplane.tcl vtkStructuredGridReader reader reader SetFileName “density.vtk” reader Update vtkPlane plane eval plane SetOrigin [[reader GetOutput] GetCenter] plane SetNormal -0.287 0 0.9579 vtkCutter planeCut planeCut SetInputConnection [reader GetOutputPort] planeCut SetCutFunction plane vtkPolyDataMapper cutMapper cutMapper SetInputConnection [planeCut GetOutputPort] eval cutMapper SetScalarRange [[reader GetOutput] GetScalarRange] vtkActor cutActor cutActor SetMapper cutMapper Scientific Visualization using VTK – Spring 2011

  45. Code – ExtractGrid Editor: extract.tcl vtkStructuredGridReader reader reader SetFileName “density.vtk” reader Update vtkExtractGrid extract extract SetInputConnection [reader GetOutputPort] extract SetVOI -1000 1000 -1000 1000 7 10 extract IncludeBoundaryOn vtkDataSetMapper mapper mapper SetInputConnection [extract GetOutputPort] eval mapper SetScalarRange [[reader GetOutput] GetScalarRange] vtkActor extractActor extractActor mapper Scientific Visualization using VTK – Spring 2011

  46. Color Mapping • Scalar Algorithms • Color Mapping • maps scalar data to colors • implemented by using scalar values as an index into a color lookup table • VTK • vtkLookupTable • vtkDataSetMapper Scientific Visualization using VTK – Spring 2011

  47. Code – Color Mapping Editor: colormap.numcolors.tcl . . . vtkLookupTable lut lut SetNumberofColors 16 lut SetHueRange 0.0 0.667 lut Build vtkStructuredGridReader reader reader SetFileName “subset.vtk” reader Update vtkDataSetMapper mapper mapper SetInputConnection [reader GetOutputPort] mapper SetLookupTable lut eval mapper SetScalarRange [[reader GetOutput] GetScalarRange] vtkActor actor actor SetMapper mapper . . . Scientific Visualization using VTK – Spring 2011

  48. Exercise * Change the number of colors in colormap * Reverse the Hue Range * Change the Scalar Range mapper SetScalarRange 0.0 0.7 Scientific Visualization using VTK – Spring 2011

  49. Contouring • Scalar Algorithms (cont) • Contouring • construct a boundary between distinct regions, two steps: • explore space to find points near contour • connect points into contour (2D) or surface (3D) • 2D contour map (isoline): • applications: elevation contours from topography, pressure contours (weather maps) from meteorology3D isosurface: • 3D isosurface: • applications: tissue surfaces from tomography, constant pressure or temperature in fluid flow, implicit surfaces from math and CAD • VTK • vtkContourFilter Scientific Visualization using VTK – Spring 2011

  50. Code – Contour (isoline) Editor: contour.single.tcl . . . vtkStructuredGridReader reader reader SetFileName “subset.vtk” reader Update vtkContourFilter iso iso SetInputConnection [reader GetOutputPort] iso SetValue 0 0.26 vtkPolyDataMapper isoMapper isoMapper SetInputConnection [iso GetOutputPort] eval isoMapper SetScalarRange [[reader GetOutput] GetScalarRange] vtkActor isoActor isoActor SetMapper isoMapper . . . Scientific Visualization using VTK – Spring 2011

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