@spec clear(Keyword.t()) :: any() | {:error, String.t()}

@spec clear(t()) :: t() | {:error, String.t()}

Clears the algorithm state

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()

Python prototype (for reference only):

clear() -> None

@spec empty(Keyword.t()) :: any() | {:error, String.t()}

@spec empty(t()) :: boolean() | {:error, String.t()}

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

@spec estimateTransformation(
  t(),
  Evision.Mat.maybe_mat_in(),
  Evision.Mat.maybe_mat_in()
) ::
  {Evision.Mat.t(), number()} | {:error, String.t()}

Fit two closed curves using fourier descriptors. More details in @cite PersoonFu1977 and @cite BergerRaghunathan1998

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()

• src: Evision.Mat.

  Contour defining first shape.

• dst: Evision.Mat.

  Contour defining second shape (Target).

Keyword Arguments

• fdContour: bool.

  false then src and dst are contours and true src and dst are fourier descriptors.

Return

• alphaPhiST: Evision.Mat.t().

  : \f$ \alpha \f$=alphaPhiST(0,0), \f$ \phi \f$=alphaPhiST(0,1) (in radian), s=alphaPhiST(0,2), Tx=alphaPhiST(0,3), Ty=alphaPhiST(0,4) rotation center

• dist: double.

  distance between src and dst after matching.

Python prototype (for reference only):

estimateTransformation(src, dst[, alphaPhiST[, fdContour]]) -> alphaPhiST, dist

@spec estimateTransformation(
  t(),
  Evision.Mat.maybe_mat_in(),
  Evision.Mat.maybe_mat_in(),
  [{:fdContour, term()}] | nil
) :: {Evision.Mat.t(), number()} | {:error, String.t()}

Fit two closed curves using fourier descriptors. More details in @cite PersoonFu1977 and @cite BergerRaghunathan1998

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()

• src: Evision.Mat.

  Contour defining first shape.

• dst: Evision.Mat.

  Contour defining second shape (Target).

Keyword Arguments

• fdContour: bool.

  false then src and dst are contours and true src and dst are fourier descriptors.

Return

• alphaPhiST: Evision.Mat.t().

  : \f$ \alpha \f$=alphaPhiST(0,0), \f$ \phi \f$=alphaPhiST(0,1) (in radian), s=alphaPhiST(0,2), Tx=alphaPhiST(0,3), Ty=alphaPhiST(0,4) rotation center

• dist: double.

  distance between src and dst after matching.

Python prototype (for reference only):

estimateTransformation(src, dst[, alphaPhiST[, fdContour]]) -> alphaPhiST, dist

@spec getCtrSize(Keyword.t()) :: any() | {:error, String.t()}

@spec getCtrSize(t()) :: integer() | {:error, String.t()}

getCtrSize

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()

Return

• retval: integer()

@returns number of fourier descriptors

Python prototype (for reference only):

getCtrSize() -> retval

@spec getDefaultName(Keyword.t()) :: any() | {:error, String.t()}

@spec getDefaultName(t()) :: binary() | {:error, String.t()}

getDefaultName

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()

Return

• retval: String

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

Python prototype (for reference only):

getDefaultName() -> retval

@spec getFDSize(Keyword.t()) :: any() | {:error, String.t()}

@spec getFDSize(t()) :: integer() | {:error, String.t()}

getFDSize

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()

Return

• retval: integer()

@returns number of fourier descriptors used for optimal curve matching

Python prototype (for reference only):

getFDSize() -> retval

@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}

Reads algorithm parameters from a file storage

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()
• func: Evision.FileNode

Python prototype (for reference only):

read(fn) -> None

@spec save(t(), binary()) :: t() | {:error, String.t()}

save

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()
• filename: String

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

Python prototype (for reference only):

save(filename) -> None

@spec setCtrSize(t(), integer()) :: t() | {:error, String.t()}

set number of Fourier descriptors used in estimateTransformation

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()

• n: integer().

  number of Fourier descriptors equal to number of contour points after resampling.

Python prototype (for reference only):

setCtrSize(n) -> None

@spec setFDSize(t(), integer()) :: t() | {:error, String.t()}

set number of Fourier descriptors when estimateTransformation used vector<Point>

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()

• n: integer().

  number of fourier descriptors used for optimal curve matching.

Python prototype (for reference only):

setFDSize(n) -> None

@spec write(t(), Evision.FileStorage.t()) :: t() | {:error, String.t()}

Stores algorithm parameters in a file storage

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()
• fs: Evision.FileStorage

Python prototype (for reference only):

write(fs) -> None

@spec write(t(), Evision.FileStorage.t(), binary()) :: t() | {:error, String.t()}

write

Positional Arguments

• self: Evision.XImgProc.ContourFitting.t()
• fs: Evision.FileStorage
• name: String

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None