(""__text__TEXT%__literal8__TEXTP__data__DATA@X*1__cstring__TEXT| __compact_unwind__LDP!H,__eh_frame__TEXTP # h2  ,780` P%UHH=H5HH uHH=H]ÐUH]fDUHSPHH=H5HRH uHH=H5HHt H tH[]H=H[]fUHSH(HuHHE؋FEHEHEH}Ѓu1Hut3H}HuHcH([]þ1H([]UHAWAVSH(HuHHED~D}HG]ԉ]؅y HHtdLw(HEMt8A)Au3HuH}t}Hut;HHt<1@H}1)HE1ILPHuHcH([A^A_]f.@UHAVSH0HuHHEЋFEHEuGH5H}HU}t@HHtCHH5HPE1LEHu+H}Ⱦ1H0[A^]E1HuLUHAVSH HuHjHEDvDuHG]]yHHH(HD9u3HPxHt9HHH5JHPE1LEHucH}111RE1HuCLHt6HHt)HHH1Q@H߾1HH [A^]UHSHXHHHE^HG)ЃxHuHHE]UĉUȅyHHH_(HH}HuH}HuH}Hu}EMUf.u&z$f.uzf.uHHH HuHHE]UĉUȅyHHH_(HHuH}}EMUHeHuH!HE]UĉUȅy HHtiH_(Ht`HuH}tOHuH}t>EMHfWH`HuHHH51H H H;Mu0HX[]1HHHuHhHuUHSH8^HG)ЃHuHAHE؉]UUyHHoH_(HbHuH}MEHH((`H(HuHHE؉]UUyHHH_(HH}HuH}HuH}HuEMUHdHuH;HE؉]UUy HHtmH_(HtdHuH}tSHuH}tBEMHWH`HuHHH8[]H51H8[]1H@UHAWAVSH(HuHHED~D}HG]܉]y HHt$Lw(MtD9uEt&IHt.1:H}111)ILpIHuLHHH([A^A_]fDUHSHXHHHE^HG)ЃxHuHUHE]UĉUȅyHHH_(HH}HuH}HuH}Hu}EMUf.u&z$f.uzf.uHHH HuHXHE]UĉUȅyHHH_(HHuH}}EMUHiHuHHE]UĉUȅy HHtmH_(HtdHuH}tSHuH}tBEMHHHuHHH5b1H H H;Mu0HX[]1HHHuHHuf.fUHAWAVSH(HuHHED~D}HG]ԉ]؅y HHtcLw(MtZA)Au>HuH}t@EIL((HuHHH}1H([A^A_]fDUHAWAVSH(HuH+HED~D}HG]܉]y HHt$Lw(MtD9uEt&IHt.1:H}111)ILIHuLHHH([A^A_]fDUHAWAVSH(HuHHED~D}HG]ԉ]؅y HHtgLw(Mt^A)AuBHuH}tD}utHA9tAILHu6H}1H([A^A_]ILHuHHUHAVSH HuHHEDvDuHG]]y HHt#H(HtD9uEt%Ht*11H}111 HHuHcHHH [A^]@UHSPHH=HtZH=HtGH=Ht4H=Ht!H=HtHH[]H[]?HD   &;  Tf*<vtkImageGaussianSmoothvtkImagingGeneralPython.vtkImageGaussianSmoothvtkImageGaussianSmooth - Performs a gaussian convolution. Superclass: vtkThreadedImageAlgorithm vtkImageGaussianSmooth implements a convolution of the input image with a gaussian. Supports from one to three dimensional convolutions. IsTypeOfV.IsTypeOf(string) -> int C++: static vtkTypeBool IsTypeOf(const char *type) Return 1 if this class type 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. IsAV.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. SafeDownCastV.SafeDownCast(vtkObjectBase) -> vtkImageGaussianSmooth C++: static vtkImageGaussianSmooth *SafeDownCast(vtkObjectBase *o) NewInstanceV.NewInstance() -> vtkImageGaussianSmooth C++: vtkImageGaussianSmooth *NewInstance() SetStandardDeviationsV.SetStandardDeviations(float, float, float) C++: void SetStandardDeviations(double, double, double) V.SetStandardDeviations((float, float, float)) C++: void SetStandardDeviations(double a[3]) V.SetStandardDeviations(float, float) C++: void SetStandardDeviations(double a, double b) SetStandardDeviationV.SetStandardDeviation(float) C++: void SetStandardDeviation(double std) V.SetStandardDeviation(float, float) C++: void SetStandardDeviation(double a, double b) V.SetStandardDeviation(float, float, float) C++: void SetStandardDeviation(double a, double b, double c) Sets/Gets the Standard deviation of the gaussian in pixel units. GetStandardDeviationsV.GetStandardDeviations() -> (float, float, float) C++: double *GetStandardDeviations() SetRadiusFactorsV.SetRadiusFactors(float, float, float) C++: void SetRadiusFactors(double, double, double) V.SetRadiusFactors((float, float, float)) C++: void SetRadiusFactors(double a[3]) V.SetRadiusFactors(float, float) C++: void SetRadiusFactors(double f, double f2) SetRadiusFactorV.SetRadiusFactor(float) C++: void SetRadiusFactor(double f) Sets/Gets the Radius Factors of the gaussian (no unit). The radius factors determine how far out the gaussian kernel will go before being clamped to zero. GetRadiusFactorsV.GetRadiusFactors() -> (float, float, float) C++: double *GetRadiusFactors() SetDimensionalityV.SetDimensionality(int) C++: virtual void SetDimensionality(int _arg) Set/Get the dimensionality of this filter. This determines whether a one, two, or three dimensional gaussian is performed. GetDimensionalityV.GetDimensionality() -> int C++: virtual int GetDimensionality() Set/Get the dimensionality of this filter. 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