def getProbeData(self): """Returns probe-data from all readers. The returned datastructure has the following syntax. [ { "name" : "<name>", "headers" : [ "foo", "time", "bar" ], "data" : [ [3, "2009-11-04", 1], [...], ...] }, { ... }, ... ] """ retVal = [] for item in _DataProber.PipelineObjects: name = item["name"] probe = item["Probe"] probe.Source.Point1 = _DataProber.Widget.Point1WorldPosition probe.Source.Point2 = _DataProber.Widget.Point2WorldPosition print "Probing ", probe.Source.Point1, probe.Source.Point2 simple.UpdatePipeline(time=_DataProber.View.ViewTime, proxy=probe) # fetch probe result from root node. do = simple.servermanager.Fetch(probe, 0) data = vtkWebUtilities.WriteAttributesToJavaScript( vtk.vtkDataObject.POINT, do) headers = vtkWebUtilities.WriteAttributeHeadersToJavaScript( vtk.vtkDataObject.POINT, do) # process the strings returned by vtkPVWebUtilities to generate # Python objects nan = "_nan_" data = eval(data) headers = eval(headers) retVal.append({"name": name, "headers": headers, "data": data}) return retVal
if options: # add coda about extracts generation. trace.append_separated(["", "if __name__ == '__main__':", " # generate extracts", " SaveExtracts(ExtractsOutputDirectory='%s')" % options.ExtractsOutputDirectory]) del trace_config smtrace.stop_trace() #print (trace) return str(trace) if not raw else trace.raw_data() if __name__ == "__main__": print ( "Running test") simple.Mandelbrot() simple.Show() simple.Hide() simple.Shrink().ShrinkFactor = 0.4 simple.UpdatePipeline() simple.Clip().ClipType.Normal[1] = 1 rep = simple.Show() view = simple.Render() view.ViewSize=[500, 500] rep.SetScalarBarVisibility(view, True) simple.Render() # rep.SetScalarBarVisibility(view, False) print ("====================================================================") print (get_state())
def apply(self): """Update pipeline with current timestep.""" pv.UpdatePipeline(self.time)
def render_frames( scene, frames_dir=None, frame_window=None, render_missing_frames=False, save_state_to_file=None, no_render=False, show_preview=False, show_progress=False, job_id=None, ): # Validate scene if scene["View"]["ViewSize"][0] % 16 != 0: logger.warning( "The view width should be a multiple of 16 to be compatible with" " QuickTime.") if scene["View"]["ViewSize"][1] % 2 != 0: logger.warning( "The view height should be even to be compatible with QuickTime.") render_start_time = time.time() # Setup layout layout = pv.CreateLayout("Layout") # Setup view if "Background" in scene["View"]: bg_config = scene["View"]["Background"] del scene["View"]["Background"] if isinstance(bg_config, list): if isinstance(bg_config[0], list): assert len(bg_config) == 2, ( "When 'Background' is a list of colors, it must have 2" " entries.") bg_config = dict( BackgroundColorMode="Gradient", Background=parse_as.color(bg_config[0]), Background2=parse_as.color(bg_config[1]), ) else: bg_config = dict( BackgroundColorMode="Single Color", Background=parse_as.color(bg_config), ) bg_config["UseColorPaletteForBackground"] = 0 scene["View"].update(bg_config) bg_config = None else: bg_config = None view = pv.CreateRenderView(**scene["View"]) pv.AssignViewToLayout(view=view, layout=layout, hint=0) # Set spherical background texture if bg_config is not None: bg_config["BackgroundColorMode"] = "Texture" skybox_datasource = bg_config["Datasource"] del bg_config["Datasource"] background_texture = pvserver.rendering.ImageTexture( FileName=parse_as.path(scene["Datasources"][skybox_datasource])) background_sphere = pv.Sphere(Radius=bg_config["Radius"], ThetaResolution=100, PhiResolution=100) background_texture_map = pv.TextureMaptoSphere(Input=background_sphere) pv.Show( background_texture_map, view, Texture=background_texture, BackfaceRepresentation="Cull Frontface", Ambient=1.0, ) # Load the waveform data file waveform_h5file, waveform_subfile = parse_as.file_and_subfile( scene["Datasources"]["Waveform"]) waveform_data = WaveformDataReader(FileName=waveform_h5file, Subfile=waveform_subfile) pv.UpdatePipeline() # Generate volume data from the waveform. Also sets the available time range. # TODO: Pull KeepEveryNthTimestep out of datasource waveform_to_volume_configs = scene["WaveformToVolume"] if isinstance(waveform_to_volume_configs, dict): waveform_to_volume_configs = [{ "Object": waveform_to_volume_configs, }] if "VolumeRepresentation" in scene: waveform_to_volume_configs[0]["VolumeRepresentation"] = scene[ "VolumeRepresentation"] waveform_to_volume_objects = [] for waveform_to_volume_config in waveform_to_volume_configs: volume_data = WaveformToVolume( WaveformData=waveform_data, SwshCacheDirectory=parse_as.path( scene["Datasources"]["SwshCache"]), **waveform_to_volume_config["Object"], ) if "Modes" in waveform_to_volume_config["Object"]: volume_data.Modes = waveform_to_volume_config["Object"]["Modes"] if "Polarizations" in waveform_to_volume_config["Object"]: volume_data.Polarizations = waveform_to_volume_config["Object"][ "Polarizations"] waveform_to_volume_objects.append(volume_data) # Compute timing and frames information time_range_in_M = ( volume_data.TimestepValues[0], volume_data.TimestepValues[-1], ) logger.debug(f"Full available data time range: {time_range_in_M} (in M)") if "FreezeTime" in scene["Animation"]: frozen_time = scene["Animation"]["FreezeTime"] logger.info(f"Freezing time at {frozen_time}.") view.ViewTime = frozen_time animation = None else: if "Crop" in scene["Animation"]: time_range_in_M = scene["Animation"]["Crop"] logger.debug(f"Cropping time range to {time_range_in_M} (in M).") animation_speed = scene["Animation"]["Speed"] frame_rate = scene["Animation"]["FrameRate"] num_frames = animate.num_frames( max_animation_length=time_range_in_M[1] - time_range_in_M[0], animation_speed=animation_speed, frame_rate=frame_rate, ) animation_length_in_seconds = num_frames / frame_rate animation_length_in_M = animation_length_in_seconds * animation_speed time_per_frame_in_M = animation_length_in_M / num_frames logger.info(f"Rendering {animation_length_in_seconds:.2f}s movie with" f" {num_frames} frames ({frame_rate} FPS or" f" {animation_speed:.2e} M/s or" f" {time_per_frame_in_M:.2e} M/frame)...") if frame_window is not None: animation_window_num_frames = frame_window[1] - frame_window[0] animation_window_time_range = ( time_range_in_M[0] + frame_window[0] * time_per_frame_in_M, time_range_in_M[0] + (frame_window[1] - 1) * time_per_frame_in_M, ) logger.info( f"Restricting rendering to {animation_window_num_frames} frames" f" (numbers {frame_window[0]} to {frame_window[1] - 1}).") else: animation_window_num_frames = num_frames animation_window_time_range = time_range_in_M frame_window = (0, num_frames) # Setup animation so that sources can retrieve the `UPDATE_TIME_STEP` animation = pv.GetAnimationScene() # animation.UpdateAnimationUsingDataTimeSteps() # Since the data can be evaluated at arbitrary times we define the time steps # here by setting the number of frames within the full range animation.PlayMode = "Sequence" animation.StartTime = animation_window_time_range[0] animation.EndTime = animation_window_time_range[1] animation.NumberOfFrames = animation_window_num_frames logger.debug( f"Animating from scene time {animation.StartTime} to" f" {animation.EndTime} in {animation.NumberOfFrames} frames.") def scene_time_from_real(real_time): return (real_time / animation_length_in_seconds * animation_length_in_M) # For some reason the keyframe time for animations is expected to be within # (0, 1) so we need to transform back and forth from this "normalized" time def scene_time_from_normalized(normalized_time): return animation.StartTime + normalized_time * ( animation.EndTime - animation.StartTime) def normalized_time_from_scene(scene_time): return (scene_time - animation.StartTime) / (animation.EndTime - animation.StartTime) # Setup progress measuring already here so volume data computing for # initial frame is measured if show_progress and not no_render: logging.getLogger().handlers = [TqdmLoggingHandler()] animation_window_frame_range = tqdm.trange( animation_window_num_frames, desc="Rendering", unit="frame", miniters=1, position=job_id, ) else: animation_window_frame_range = range(animation_window_num_frames) # Set the initial time step animation.GoToFirst() # Display the volume data. This will trigger computing the volume data at the # current time step. for volume_data, waveform_to_volume_config in zip( waveform_to_volume_objects, waveform_to_volume_configs): vol_repr = (waveform_to_volume_config["VolumeRepresentation"] if "VolumeRepresentation" in waveform_to_volume_config else {}) volume_color_by = config_color.extract_color_by(vol_repr) if (vol_repr["VolumeRenderingMode"] == "GPU Based" and len(volume_color_by) > 2): logger.warning( "The 'GPU Based' volume renderer doesn't support multiple" " components.") volume = pv.Show(volume_data, view, **vol_repr) pv.ColorBy(volume, value=volume_color_by) if "Slices" in scene: for slice_config in scene["Slices"]: slice_obj_config = slice_config.get("Object", {}) slice = pv.Slice(Input=volume_data) slice.SliceType = "Plane" slice.SliceOffsetValues = [0.0] slice.SliceType.Origin = slice_obj_config.get( "Origin", [0.0, 0.0, -0.3]) slice.SliceType.Normal = slice_obj_config.get( "Normal", [0.0, 0.0, 1.0]) slice_rep = pv.Show(slice, view, **slice_config.get("Representation", {})) pv.ColorBy(slice_rep, value=volume_color_by) # Display the time if "TimeAnnotation" in scene: time_annotation = pv.AnnotateTimeFilter(volume_data, **scene["TimeAnnotation"]) pv.Show(time_annotation, view, **scene["TimeAnnotationRepresentation"]) # Add spheres if "Spheres" in scene: for sphere_config in scene["Spheres"]: sphere = pv.Sphere(**sphere_config["Object"]) pv.Show(sphere, view, **sphere_config["Representation"]) # Add trajectories and objects that follow them if "Trajectories" in scene: for trajectory_config in scene["Trajectories"]: trajectory_name = trajectory_config["Name"] radial_scale = (trajectory_config["RadialScale"] if "RadialScale" in trajectory_config else 1.0) # Load the trajectory data traj_data_reader = TrajectoryDataReader( RadialScale=radial_scale, **scene["Datasources"]["Trajectories"][trajectory_name], ) # Make sure the data is loaded so we can retrieve timesteps. # TODO: This should be fixed in `TrajectoryDataReader` by # communicating time range info down the pipeline, but we had issues # with that (see also `WaveformDataReader`). traj_data_reader.UpdatePipeline() if "Objects" in trajectory_config: with animate.restore_animation_state(animation): follow_traj = FollowTrajectory( TrajectoryData=traj_data_reader) for traj_obj_config in trajectory_config["Objects"]: for traj_obj_key in traj_obj_config: if traj_obj_key in [ "Representation", "Visibility", "TimeShift", "Glyph", ]: continue traj_obj_type = getattr(pv, traj_obj_key) traj_obj_glyph = traj_obj_type( **traj_obj_config[traj_obj_key]) follow_traj.UpdatePipeline() traj_obj = pv.Glyph(Input=follow_traj, GlyphType=traj_obj_glyph) # Can't set this in the constructor for some reason traj_obj.ScaleFactor = 1.0 for glyph_property in (traj_obj_config["Glyph"] if "Glyph" in traj_obj_config else []): setattr( traj_obj, glyph_property, traj_obj_config["Glyph"][glyph_property], ) traj_obj.UpdatePipeline() if "TimeShift" in traj_obj_config: traj_obj = animate.apply_time_shift( traj_obj, traj_obj_config["TimeShift"]) pv.Show(traj_obj, view, **traj_obj_config["Representation"]) if "Visibility" in traj_obj_config: animate.apply_visibility( traj_obj, traj_obj_config["Visibility"], normalized_time_from_scene, scene_time_from_real, ) if "Tail" in trajectory_config: with animate.restore_animation_state(animation): traj_tail = TrajectoryTail(TrajectoryData=traj_data_reader) if "TimeShift" in trajectory_config: traj_tail = animate.apply_time_shift( traj_tail, trajectory_config["TimeShift"]) tail_config = trajectory_config["Tail"] traj_color_by = config_color.extract_color_by(tail_config) if "Visibility" in tail_config: tail_visibility_config = tail_config["Visibility"] del tail_config["Visibility"] else: tail_visibility_config = None tail_rep = pv.Show(traj_tail, view, **tail_config) pv.ColorBy(tail_rep, value=traj_color_by) if tail_visibility_config is not None: animate.apply_visibility( traj_tail, tail_visibility_config, normalized_time_from_scene=normalized_time_from_scene, scene_time_from_real=scene_time_from_real, ) if "Move" in trajectory_config: move_config = trajectory_config["Move"] logger.debug( f"Animating '{move_config['guiName']}' along trajectory.") with h5py.File(trajectory_file, "r") as traj_data_file: trajectory_data = np.array( traj_data_file[trajectory_subfile]) if radial_scale != 1.0: trajectory_data[:, 1:] *= radial_scale logger.debug(f"Trajectory data shape: {trajectory_data.shape}") animate.follow_path( gui_name=move_config["guiName"], trajectory_data=trajectory_data, num_keyframes=move_config["NumKeyframes"], scene_time_range=time_range_in_M, normalized_time_from_scene=normalized_time_from_scene, ) # Add non-spherical horizon shapes (instead of spherical objects following # trajectories) if "Horizons" in scene: for horizon_config in scene["Horizons"]: with animate.restore_animation_state(animation): horizon = pv.PVDReader(FileName=scene["Datasources"] ["Horizons"][horizon_config["Name"]]) if horizon_config.get("InterpolateTime", False): horizon = pv.TemporalInterpolator( Input=horizon, DiscreteTimeStepInterval=0) if "TimeShift" in horizon_config: horizon = animate.apply_time_shift(horizon, horizon_config["TimeShift"], animation) # Try to make horizon surfaces smooth. At low angular resoluton # they still show artifacts, so perhaps more can be done. horizon = pv.ExtractSurface(Input=horizon) horizon = pv.GenerateSurfaceNormals(Input=horizon) horizon_rep_config = horizon_config.get("Representation", {}) if "Representation" not in horizon_rep_config: horizon_rep_config["Representation"] = "Surface" if "AmbientColor" not in horizon_rep_config: horizon_rep_config["AmbientColor"] = [0.0, 0.0, 0.0] if "DiffuseColor" not in horizon_rep_config: horizon_rep_config["DiffuseColor"] = [0.0, 0.0, 0.0] if "Specular" not in horizon_rep_config: horizon_rep_config["Specular"] = 0.2 if "SpecularPower" not in horizon_rep_config: horizon_rep_config["SpecularPower"] = 10 if "SpecularColor" not in horizon_rep_config: horizon_rep_config["SpecularColor"] = [1.0, 1.0, 1.0] if "ColorBy" in horizon_rep_config: horizon_color_by = config_color.extract_color_by( horizon_rep_config) else: horizon_color_by = None horizon_rep = pv.Show(horizon, view, **horizon_rep_config) if horizon_color_by is not None: pv.ColorBy(horizon_rep, value=horizon_color_by) # Animate visibility if "Visibility" in horizon_config: animate.apply_visibility( horizon, horizon_config["Visibility"], normalized_time_from_scene=normalized_time_from_scene, scene_time_from_real=scene_time_from_real, ) if "Contours" in horizon_config: for contour_config in horizon_config["Contours"]: contour = pv.Contour(Input=horizon, **contour_config["Object"]) contour_rep = pv.Show(contour, view, **contour_config["Representation"]) pv.ColorBy(contour_rep, None) if "Visibility" in horizon_config: animate.apply_visibility( contour, horizon_config["Visibility"], normalized_time_from_scene= normalized_time_from_scene, scene_time_from_real=scene_time_from_real, ) # Configure transfer functions if "TransferFunctions" in scene: for tf_config in scene["TransferFunctions"]: colored_field = tf_config["Field"] transfer_fctn = pv.GetColorTransferFunction(colored_field) opacity_fctn = pv.GetOpacityTransferFunction(colored_field) tf.configure_transfer_function(transfer_fctn, opacity_fctn, tf_config["TransferFunction"]) # Save state file before configuring camera keyframes. # TODO: Make camera keyframes work with statefile if save_state_to_file is not None: pv.SaveState(save_state_to_file + ".pvsm") # Camera shots # TODO: Make this work with freezing time while the camera is swinging if animation is None: for i, shot in enumerate(scene["CameraShots"]): if (i == len(scene["CameraShots"]) - 1 or (shot["Time"] if "Time" in shot else 0.0) >= view.ViewTime): camera_motion.apply(shot) break else: camera_motion.apply_swings( scene["CameraShots"], scene_time_range=time_range_in_M, scene_time_from_real=scene_time_from_real, normalized_time_from_scene=normalized_time_from_scene, ) # Report time if animation is not None: report_time_cue = pv.PythonAnimationCue() report_time_cue.Script = """ def start_cue(self): pass def tick(self): import paraview.simple as pv import logging logger = logging.getLogger('Animation') scene_time = pv.GetActiveView().ViewTime logger.info(f"Scene time: {scene_time}") def end_cue(self): pass """ animation.Cues.append(report_time_cue) if show_preview and animation is not None: animation.PlayMode = "Real Time" animation.Duration = 10 animation.Play() animation.PlayMode = "Sequence" if no_render: logger.info("No rendering requested. Total time:" f" {time.time() - render_start_time:.2f}s") return if frames_dir is None: raise RuntimeError("Trying to render but `frames_dir` is not set.") if os.path.exists(frames_dir): logger.warning( f"Output directory '{frames_dir}' exists, files may be overwritten." ) else: os.makedirs(frames_dir) if animation is None: pv.Render() pv.SaveScreenshot(os.path.join(frames_dir, "frame.png")) else: # Iterate over frames manually to support filling in missing frames. # If `pv.SaveAnimation` would support that, here's how it could be # invoked: # pv.SaveAnimation( # os.path.join(frames_dir, 'frame.png'), # view, # animation, # FrameWindow=frame_window, # SuffixFormat='.%06d') # Note that `FrameWindow` appears to be buggy, so we set up the # `animation` according to the `frame_window` above so the frame files # are numberd correctly. for animation_window_frame_i in animation_window_frame_range: frame_i = frame_window[0] + animation_window_frame_i frame_file = os.path.join(frames_dir, f"frame.{frame_i:06d}.png") if render_missing_frames and os.path.exists(frame_file): continue logger.debug(f"Rendering frame {frame_i}...") animation.AnimationTime = ( animation.StartTime + time_per_frame_in_M * animation_window_frame_i) pv.Render() pv.SaveScreenshot(frame_file) logger.info(f"Rendered frame {frame_i}.") logger.info( f"Rendering done. Total time: {time.time() - render_start_time:.2f}s")
composite_class = info.GetCompositeDataClassName() if composite_class is None or not composite_class == 'vtkMultiBlockDataSet': raise WrongInput( 'Source produce wrong type of data. MultiBlockDataSet required.') # make a filter to collect all well lines in order # to workaround a bug that do not porduce selsection labels # on composite datasets merged = ps.ProgrammableFilter() merged.Script = merge_groups_script merged.OutputDataSetType = 0 # PolyData merged.Input = source # update pipeline in order to get total number of points ps.SetActiveSource(merged) ps.UpdatePipeline() # make selection where to show labels n_points = merged.GetDataInformation().DataInformation.GetNumberOfPoints() selection = ps.IDSelectionSource() IDs = [] for i in range(n_points): # select only non-head points IDs.append(0L) IDs.append(long(i)) selection.IDs = IDs selection.FieldType = 1 # select point merged.SetSelectionInput(0, selection, 0) # get representation and select its selection properties ps.SetActiveSource(merged)
def generateData(datasetPath, outputDir) : if not os.path.exists(outputDir): os.makedirs(outputDir) resolution = 500 center_of_rotation = [0.0, 0.0, 0.0] rotation_axis = [0.0, 0.0, 1.0] distance = 45.0 disk_out_refex2 = simple.ExodusIIReader(FileName=[datasetPath]) disk_out_refex2.PointVariables = ['Temp', 'V', 'Pres', 'AsH3', 'GaMe3', 'CH4', 'H2'] disk_out_refex2.NodeSetArrayStatus = [] disk_out_refex2.SideSetArrayStatus = [] disk_out_refex2.ElementBlocks = ['Unnamed block ID: 1 Type: HEX8'] filters = [] filters_description = [] calculator1 = simple.Calculator(Input=disk_out_refex2) calculator1.ResultArrayName = 'Velocity' calculator1.Function = 'mag(V)' simple.UpdatePipeline() color_by = [] # # COMPLAINT # # As a user of this system, I'd like not to have to specify that I need # 'nX', 'nY', and 'nZ' when I add a colorby of type "VALUE". Instead, # I'd like it to figure out that I'm going to need normals for that kind # of rendering and add them for me. # color_type = [ ('VALUE', "Velocity"), ('VALUE', "Pres"), ('VALUE', "Temp"), ('VALUE', "nX"), ('VALUE', "nY"), ('VALUE', "nZ") ] pdi = calculator1.GetPointDataInformation() # # COMPLAINT # # Ditto the above complaint here. # luts = { "Velocity": ["point", "Velocity", 0, pdi.GetArray("Velocity").GetRange()], "Pres": ["point", "Pres", 0, pdi.GetArray("Pres").GetRange()], "Temp": ["point", "Temp", 0, pdi.GetArray("Temp").GetRange()], "nX": ["point", "Normals", 0, (-1,1)], "nY": ["point", "Normals", 1, (-1,1)], "nZ": ["point", "Normals", 2, (-1,1)] } contour_values = [ 300.0, 600.0, 900.0 ] for iso_value in contour_values: contour = simple.Contour( Input=calculator1, PointMergeMethod="Uniform Binning", ContourBy = ['POINTS', 'Temp'], Isosurfaces = [iso_value], ComputeScalars = 1) # Add this isocontour to my list of filters filters.append( contour ) color_by.append( color_type ) filters_description.append( {'name': 'iso=%s' % str(iso_value), 'parent': "Contour by temperature"} ) # create a new 'Stream Tracer' streamTracer1 = StreamTracer(Input=calculator1, SeedType='High Resolution Line Source') streamTracer1.Vectors = ['POINTS', 'V'] streamTracer1.MaximumStreamlineLength = 20.15999984741211 # init the 'High Resolution Line Source' selected for 'SeedType' streamTracer1.SeedType.Point1 = [-5.75, -5.75, -10.0] streamTracer1.SeedType.Point2 = [5.75, 5.75, 10.15999984741211] # create a new 'Tube' tube1 = Tube(Input=streamTracer1) tube1.Scalars = ['POINTS', 'Velocity'] tube1.Vectors = ['POINTS', 'Normals'] tube1.Radius = 0.10474160957336426 # # COMPLAINT # # Here, because the "Normals" field of the tube filter is all funky # (directions seem to change at the seed points, when integration # proceeded in both directions), I actually needed to play around # with ParaView until I found a filter that would get me nice # looking normals. Then, that filter didn't have a "Normals" field, # so I had to use a calculator to create it. Not super nice from a # users perspective. # surfaceVectors1 = SurfaceVectors(Input=tube1) surfaceVectors1.SelectInputVectors = ['POINTS', 'TubeNormals'] calculator2 = simple.Calculator(Input=surfaceVectors1) calculator2.ResultArrayName = 'Normals' calculator2.Function = 'TubeNormals' # Now add the stream tubes to the filters list filters.append(calculator2); color_by.append(color_type); filters_description.append({'name': 'Stream Tubes'}) # create a new 'Clip' clip1 = Clip(Input=calculator1) clip1.ClipType = 'Plane' clip1.Value = 11.209410083552676 clip1.InsideOut = 1 # init the 'Plane' selected for 'ClipType' clip1.ClipType.Origin = [0.0, 0.0, 0.07999992370605469] clip1.ClipType.Normal = [0.7, 0.0, -0.4] # # COMPLAINT # # Here again, the output of the clip filter doesn't have a "Normals" # field on points, so I have to do some funky stuff to get what I # need. It would be nice if this could be figured out for me # somehow. # extractSurface1 = ExtractSurface(Input=clip1) generateSurfaceNormals1 = GenerateSurfaceNormals(Input=extractSurface1) # Now add the first clip to the filters list filters.append(generateSurfaceNormals1); color_by.append(color_type); filters_description.append({'name': 'Clip One'}) # create a new 'Clip' clip2 = Clip(Input=calculator1) clip2.ClipType = 'Plane' clip2.Value = 11.209410083552676 clip2.InsideOut = 0 # init the 'Plane' selected for 'ClipType' clip2.ClipType.Origin = [0.0, 0.0, 0.07999992370605469] clip2.ClipType.Normal = [0.7, 0.0, -0.4] # # COMPLAINT # # Ditto the above complaint here. # extractSurface2 = ExtractSurface(Input=clip2) generateSurfaceNormals2 = GenerateSurfaceNormals(Input=extractSurface2) # Now add the second clip to the filters list filters.append(generateSurfaceNormals2); color_by.append(color_type); filters_description.append({'name': 'Clip Two'}) title = "Composite Dynamic Rendering - Disk Out Ref" description = "A sample dataset for dynamic rendering" analysis = wx.AnalysisManager(outputDir, title, description) id = 'composite' title = '3D composite' description = "contour set" analysis.register_analysis(id, title, description, '{theta}/{phi}/{filename}', wx.CompositeImageExporter.get_data_type()+"-light") fng = analysis.get_file_name_generator(id) camera_handler = wx.ThreeSixtyCameraHandler( fng, None, [ float(r) for r in range(0, 360, 30) ], [ float(r) for r in range(-60, 61, 60) ], center_of_rotation, rotation_axis, distance) exporter = wx.CompositeImageExporter( fng, filters, color_by, luts, camera_handler, [resolution,resolution], filters_description, 0, 0, 'png') exporter.set_analysis(analysis) analysis.begin() exporter.UpdatePipeline(0) analysis.end()