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Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h. V.IsA(string) -> int C++: vtkTypeBool IsA(const char *type) override; Return 1 if this class is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h. V.SafeDownCast(vtkObjectBase) -> vtkLODActor C++: static vtkLODActor *SafeDownCast(vtkObjectBase *o) V.NewInstance() -> vtkLODActor C++: vtkLODActor *NewInstance() V.Render(vtkRenderer, vtkMapper) C++: void Render(vtkRenderer *, vtkMapper *) override; This causes the actor to be rendered. It, in turn, will render the actor's property and then mapper. V.RenderOpaqueGeometry(vtkViewport) -> int C++: int RenderOpaqueGeometry(vtkViewport *viewport) override; This method is used internally by the rendering process. We override the superclass method to properly set the estimated render time. V.ReleaseGraphicsResources(vtkWindow) C++: void ReleaseGraphicsResources(vtkWindow *) override; Release any graphics resources that are being consumed by this actor. The parameter window could be used to determine which graphic resources to release. V.AddLODMapper(vtkMapper) C++: void AddLODMapper(vtkMapper *mapper) Add another level of detail. They do not have to be in any order of complexity. V.SetLowResFilter(vtkPolyDataAlgorithm) C++: virtual void SetLowResFilter(vtkPolyDataAlgorithm *) You may plug in your own filters to decimate/subsample the input. The default is to use a vtkOutlineFilter (low-res) and vtkMaskPoints (medium-res). V.SetMediumResFilter(vtkPolyDataAlgorithm) C++: virtual void SetMediumResFilter(vtkPolyDataAlgorithm *) You may plug in your own filters to decimate/subsample the input. The default is to use a vtkOutlineFilter (low-res) and vtkMaskPoints (medium-res). V.GetLowResFilter() -> vtkPolyDataAlgorithm C++: virtual vtkPolyDataAlgorithm *GetLowResFilter() You may plug in your own filters to decimate/subsample the input. The default is to use a vtkOutlineFilter (low-res) and vtkMaskPoints (medium-res). V.GetMediumResFilter() -> vtkPolyDataAlgorithm C++: virtual vtkPolyDataAlgorithm *GetMediumResFilter() You may plug in your own filters to decimate/subsample the input. The default is to use a vtkOutlineFilter (low-res) and vtkMaskPoints (medium-res). V.GetNumberOfCloudPoints() -> int C++: virtual int GetNumberOfCloudPoints() Set/Get the number of random points for the point cloud. V.SetNumberOfCloudPoints(int) C++: virtual void SetNumberOfCloudPoints(int _arg) Set/Get the number of random points for the point cloud. V.GetLODMappers() -> vtkMapperCollection C++: virtual vtkMapperCollection *GetLODMappers() All the mappers for different LODs are stored here. The order is not important. V.Modified() C++: void Modified() override; When this objects gets modified, this method also modifies the object. V.ShallowCopy(vtkProp) C++: void ShallowCopy(vtkProp *prop) override; Shallow copy of an LOD actor. Overloads the virtual vtkProp method. vtkQuadricLODActorGetDataConfigurationMinValueGetPropTypeMinValueGetPropTypeMaxValueGetDataConfigurationMaxValueGetMaximumDisplayListSizeGetPropTypeGetDataConfigurationGetDeferLODConstructionGetStaticGetCollapseDimensionRatioGetLODFilterGetCameraSetLODFiltervtkQuadricClusteringSetCameravtkCameraSetDataConfigurationToYLineSetDataConfigurationToXYPlaneSetPropTypeToFollowerSetDataConfigurationToXLineSetPropTypeToActorSetDataConfigurationToZLineSetDataConfigurationToXZPlaneSetDataConfigurationToYZPlaneSetDataConfigurationToUnknownSetStaticSetDeferLODConstructionStaticOnDeferLODConstructionOnDeferLODConstructionOffStaticOffSetMaximumDisplayListSizeSetPropTypeSetCollapseDimensionRatioSetDataConfiguration(i)DataConfigurationEnumPropTypeEnumFOLLOWERACTORUNKNOWNXLINEYLINEZLINEXYPLANEXZPLANEYZPLANEXYZVOLUMEGetCollapseDimensionRatioMaxValueGetMaximumDisplayListSizeMaxValueGetCollapseDimensionRatioMinValueGetMaximumDisplayListSizeMinValueSetDataConfigurationToXYZVolumevtkQuadricLODActor - a specific level-of-detail strategy using the quadric clustering decimation algorithm Superclass: vtkActor vtkQuadricLODActor implements a specific strategy for level-of-detail using the vtkQuadricClustering decimation algorithm. It supports only two levels of detail: full resolution and a decimated version. The decimated LOD is generated using a tuned strategy to produce output consistent with the requested interactive frame rate (i.e., the vtkRenderWindowInteractor's DesiredUpdateRate). It also makes use of display lists for performance, and adjusts the vtkQuadricClustering algorithm to take into account the dimensionality of the data (e.g., 2D, x-y surfaces may be binned into n x n x 1 to reduce extra polygons in the z-direction). Finally, the filter may optionally be set in "Static" mode (this works with the vtkMapper::SetStatic() method). `Enabling Static results in a one time execution of the Mapper's pipeline. After that, the pipeline no longer updated (unless manually forced to do so). @warning By default the algorithm is set up to pre-compute the LODs. That is, on the first render (whether a full resolution render or interactive render) the LOD is computed. This behavior can be changed so that the LOD construction is deferred until the first interactive render. Either way, when the LOD is constructed, the user may notice a short pause. @warning This class can be used as a direct replacement for vtkActor. It may also be used as a replacement for vtkFollower's (the ability to track a camera is provided). @sa vtkLODActor vtkQuadricClustering vtkRenderingLODPython.vtkQuadricLODActorV.IsTypeOf(string) -> int C++: static vtkTypeBool IsTypeOf(const char *type) Standard class methods. V.IsA(string) -> int C++: vtkTypeBool IsA(const char *type) override; Standard class methods. V.SafeDownCast(vtkObjectBase) -> vtkQuadricLODActor C++: static vtkQuadricLODActor *SafeDownCast(vtkObjectBase *o) Standard class methods. V.NewInstance() -> vtkQuadricLODActor C++: vtkQuadricLODActor *NewInstance() Standard class methods. V.SetDeferLODConstruction(int) C++: virtual void SetDeferLODConstruction(int _arg) Specify whether to build the LOD immediately (i.e., on the first render) or to wait until the LOD is requested in a subsequent render. By default, LOD construction is not deferred (DeferLODConstruction is false). V.GetDeferLODConstruction() -> int C++: virtual int GetDeferLODConstruction() Specify whether to build the LOD immediately (i.e., on the first render) or to wait until the LOD is requested in a subsequent render. By default, LOD construction is not deferred (DeferLODConstruction is false). V.DeferLODConstructionOn() C++: virtual void DeferLODConstructionOn() Specify whether to build the LOD immediately (i.e., on the first render) or to wait until the LOD is requested in a subsequent render. By default, LOD construction is not deferred (DeferLODConstruction is false). V.DeferLODConstructionOff() C++: virtual void DeferLODConstructionOff() Specify whether to build the LOD immediately (i.e., on the first render) or to wait until the LOD is requested in a subsequent render. By default, LOD construction is not deferred (DeferLODConstruction is false). V.SetStatic(int) C++: virtual void SetStatic(int _arg) Turn on/off a flag to control whether the underlying pipeline is static. If static, this means that the data pipeline executes once and then not again until the user manually modifies this class. By default, Static is off because trying to debug this is tricky, and you should only use it when you know what you are doing. V.GetStatic() -> int C++: virtual int GetStatic() Turn on/off a flag to control whether the underlying pipeline is static. If static, this means that the data pipeline executes once and then not again until the user manually modifies this class. By default, Static is off because trying to debug this is tricky, and you should only use it when you know what you are doing. V.StaticOn() C++: virtual void StaticOn() Turn on/off a flag to control whether the underlying pipeline is static. If static, this means that the data pipeline executes once and then not again until the user manually modifies this class. By default, Static is off because trying to debug this is tricky, and you should only use it when you know what you are doing. V.StaticOff() C++: virtual void StaticOff() Turn on/off a flag to control whether the underlying pipeline is static. If static, this means that the data pipeline executes once and then not again until the user manually modifies this class. By default, Static is off because trying to debug this is tricky, and you should only use it when you know what you are doing. V.SetDataConfiguration(int) C++: virtual void SetDataConfiguration(int _arg) Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.GetDataConfigurationMinValue() -> int C++: virtual int GetDataConfigurationMinValue() Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.GetDataConfigurationMaxValue() -> int C++: virtual int GetDataConfigurationMaxValue() Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.GetDataConfiguration() -> int C++: virtual int GetDataConfiguration() Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.SetDataConfigurationToUnknown() C++: void SetDataConfigurationToUnknown() Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.SetDataConfigurationToXLine() C++: void SetDataConfigurationToXLine() Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.SetDataConfigurationToYLine() C++: void SetDataConfigurationToYLine() Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.SetDataConfigurationToZLine() C++: void SetDataConfigurationToZLine() Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.SetDataConfigurationToXYPlane() C++: void SetDataConfigurationToXYPlane() Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.SetDataConfigurationToYZPlane() C++: void SetDataConfigurationToYZPlane() Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.SetDataConfigurationToXZPlane() C++: void SetDataConfigurationToXZPlane() Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.SetDataConfigurationToXYZVolume() C++: void SetDataConfigurationToXYZVolume() Force the binning of the quadric clustering according to application knowledge relative to the dimension of the data. For example, if you know your data lies in a 2D x-y plane, the performance of the quadric clustering algorithm can be greatly improved by indicating this (i.e., the number of resulting triangles, and the quality of the decimation version is better). Setting this parameter forces the binning to be configured consistent with the dimnesionality of the data, and the collapse dimension ratio is ignored. Specifying the value of DataConfiguration to UNKNOWN (the default value) means that the class will attempt to figure the dimension of the class automatically using the CollapseDimensionRatio ivar. V.SetCollapseDimensionRatio(float) C++: virtual void SetCollapseDimensionRatio(double _arg) If the data configuration is set to UNKNOWN, this class attempts to figure out the dimensionality of the data using CollapseDimensionRatio. This ivar is the ratio of short edge of the input bounding box to its long edge, which is then used to collapse the data dimension (and set the quadric bin size in that direction to one). By default, this value is 0.05. V.GetCollapseDimensionRatioMinValue() -> float C++: virtual double GetCollapseDimensionRatioMinValue() If the data configuration is set to UNKNOWN, this class attempts to figure out the dimensionality of the data using CollapseDimensionRatio. This ivar is the ratio of short edge of the input bounding box to its long edge, which is then used to collapse the data dimension (and set the quadric bin size in that direction to one). By default, this value is 0.05. V.GetCollapseDimensionRatioMaxValue() -> float C++: virtual double GetCollapseDimensionRatioMaxValue() If the data configuration is set to UNKNOWN, this class attempts to figure out the dimensionality of the data using CollapseDimensionRatio. This ivar is the ratio of short edge of the input bounding box to its long edge, which is then used to collapse the data dimension (and set the quadric bin size in that direction to one). By default, this value is 0.05. V.GetCollapseDimensionRatio() -> float C++: virtual double GetCollapseDimensionRatio() If the data configuration is set to UNKNOWN, this class attempts to figure out the dimensionality of the data using CollapseDimensionRatio. This ivar is the ratio of short edge of the input bounding box to its long edge, which is then used to collapse the data dimension (and set the quadric bin size in that direction to one). By default, this value is 0.05. V.SetLODFilter(vtkQuadricClustering) C++: void SetLODFilter(vtkQuadricClustering *lodFilter) This class will create a vtkQuadricClustering algorithm automatically. However, if you would like to specify the filter to use, or to access it and configure it, these method provide access to the filter. V.GetLODFilter() -> vtkQuadricClustering C++: virtual vtkQuadricClustering *GetLODFilter() This class will create a vtkQuadricClustering algorithm automatically. However, if you would like to specify the filter to use, or to access it and configure it, these method provide access to the filter. V.SetMaximumDisplayListSize(int) C++: virtual void SetMaximumDisplayListSize(int _arg) Specify the maximum display list size. This variable is used to determine whether to use display lists (ImmediateModeRenderingOff) or not. Controlling display list size is important to prevent program crashes (i.e., overly large display lists on some graphics hardware will cause faults). The display list size is the length of the vtkCellArray representing the topology of the input vtkPolyData. V.GetMaximumDisplayListSizeMinValue() -> int C++: virtual int GetMaximumDisplayListSizeMinValue() Specify the maximum display list size. This variable is used to determine whether to use display lists (ImmediateModeRenderingOff) or not. Controlling display list size is important to prevent program crashes (i.e., overly large display lists on some graphics hardware will cause faults). The display list size is the length of the vtkCellArray representing the topology of the input vtkPolyData. V.GetMaximumDisplayListSizeMaxValue() -> int C++: virtual int GetMaximumDisplayListSizeMaxValue() Specify the maximum display list size. This variable is used to determine whether to use display lists (ImmediateModeRenderingOff) or not. Controlling display list size is important to prevent program crashes (i.e., overly large display lists on some graphics hardware will cause faults). The display list size is the length of the vtkCellArray representing the topology of the input vtkPolyData. V.GetMaximumDisplayListSize() -> int C++: virtual int GetMaximumDisplayListSize() Specify the maximum display list size. This variable is used to determine whether to use display lists (ImmediateModeRenderingOff) or not. Controlling display list size is important to prevent program crashes (i.e., overly large display lists on some graphics hardware will cause faults). The display list size is the length of the vtkCellArray representing the topology of the input vtkPolyData. V.SetPropType(int) C++: virtual void SetPropType(int _arg) Indicate that this actor is actually a follower. By default, the prop type is a vtkActor. V.GetPropTypeMinValue() -> int C++: virtual int GetPropTypeMinValue() Indicate that this actor is actually a follower. By default, the prop type is a vtkActor. V.GetPropTypeMaxValue() -> int C++: virtual int GetPropTypeMaxValue() Indicate that this actor is actually a follower. By default, the prop type is a vtkActor. V.GetPropType() -> int C++: virtual int GetPropType() Indicate that this actor is actually a follower. By default, the prop type is a vtkActor. V.SetPropTypeToFollower() C++: void SetPropTypeToFollower() Indicate that this actor is actually a follower. By default, the prop type is a vtkActor. V.SetPropTypeToActor() C++: void SetPropTypeToActor() Indicate that this actor is actually a follower. By default, the prop type is a vtkActor. V.SetCamera(vtkCamera) C++: void SetCamera(vtkCamera *) Set/Get the camera to follow. This method is only applicable when the prop type is set to a vtkFollower. V.GetCamera() -> vtkCamera C++: virtual vtkCamera *GetCamera() Set/Get the camera to follow. This method is only applicable when the prop type is set to a vtkFollower. V.Render(vtkRenderer, vtkMapper) C++: void Render(vtkRenderer *, vtkMapper *) override; This causes the actor to be rendered. Depending on the frame rate request, it will use either a full resolution render or an interactive render (i.e., it will use the decimated geometry). vtkRenderingLODPython.vtkQuadricLODActor.PropTypeEnumvtkRenderingLODPython.vtkQuadricLODActor.DataConfigurationEnum?can't get dictionary for module vtkRenderingLODPythonreal_initvtkRenderingLODPythonvtkRenderingLODPython;q5(989X<x<\?HA8(B\CCDEGH4HP(I8JK(L8M HNDhOhPPP0QD8QXHQXQQ` Q R SH U| xV xW XX HY 8Z0 8[T (\x ] ] ^ _ `, xaP bt hc Hd He Hf Hg Hh< HiX Hjt Hk Hl Hm Hn HoHpq@rdt(uHvhwx8z{@h}d~8(؁pȆH X h4xHȇ\؇p8HXh $ Ȉ8 ؈L t x ȉ  X zRx $@20FJ w?:*3$"DH5\@5 tL L L L!L 9 L 8EDPa AE $LuEY B P(D9"EAD`n AAF 0p:FAA D`  AABH <ED@ AG <ED@ AG =ED@ AG <>ED@ AG 4>EDP AK X?DEDP AG |AgFD@ EE LBMFF0BOFDD n ABA DDB5 BEDP AK (tCH@ I D8DEDP AK h$EEDP AK FEDP AK FEDP AK <GbFBB A(Dp (A BBBG ~!(~ <~!P  d1x40 , (Nd ` \ X T),p @l Th hd1|   pH l XHEDPa AE DuEY B P8DLD`?tH?(H"EAD`n AAF 0IFAA D`  AABH KED@ AG KED@ AG 0LED@ AG ThMED@ AG x4NED@ AG OED@ AG OED@ AG PED@ AG tQED@ AG ,0RED@ AG PRED@ AG tSED@ AG dTED@ AG  UED@ AG  VED@ AG  VED@ AG ( WEDP AK L `XEDP AK p @hbF+@A A F G`GA +0G<+[i( |1  @,@0"?"015`" "p EZl`" "0)G``w"  ."Iw" " Nj]"5o" C" r"В" "DB"!u" [ "[u" '" d"`[ "0[!5CTg"[ "D/?RMV"1"[ " 8O"@?r"p" " u2PSOiO "N /" W f"`  "! 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