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

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

Clears the algorithm state

Positional Arguments

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

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

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

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

getDefaultName

Positional Arguments

• self: Evision.XImgProc.SparseMatchInterpolator.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 interpolate(
  t(),
  Evision.Mat.maybe_mat_in(),
  Evision.Mat.maybe_mat_in(),
  Evision.Mat.maybe_mat_in(),
  Evision.Mat.maybe_mat_in()
) :: Evision.Mat.t() | {:error, String.t()}

Interpolate input sparse matches.

Positional Arguments

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

• from_image: Evision.Mat.

  first of the two matched images, 8-bit single-channel or three-channel.

• from_points: Evision.Mat.

  points of the from_image for which there are correspondences in the to_image (Point2f vector or Mat of depth CV_32F)

• to_image: Evision.Mat.

  second of the two matched images, 8-bit single-channel or three-channel.

• to_points: Evision.Mat.

  points in the to_image corresponding to from_points (Point2f vector or Mat of depth CV_32F)

Return

• dense_flow: Evision.Mat.t().

  output dense matching (two-channel CV_32F image)

Python prototype (for reference only):

interpolate(from_image, from_points, to_image, to_points[, dense_flow]) -> dense_flow

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

Interpolate input sparse matches.

Positional Arguments

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

• from_image: Evision.Mat.

  first of the two matched images, 8-bit single-channel or three-channel.

• from_points: Evision.Mat.

  points of the from_image for which there are correspondences in the to_image (Point2f vector or Mat of depth CV_32F)

• to_image: Evision.Mat.

  second of the two matched images, 8-bit single-channel or three-channel.

• to_points: Evision.Mat.

  points in the to_image corresponding to from_points (Point2f vector or Mat of depth CV_32F)

Return

• dense_flow: Evision.Mat.t().

  output dense matching (two-channel CV_32F image)

Python prototype (for reference only):

interpolate(from_image, from_points, to_image, to_points[, dense_flow]) -> dense_flow

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

Reads algorithm parameters from a file storage

Positional Arguments

• self: Evision.XImgProc.SparseMatchInterpolator.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.SparseMatchInterpolator.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 write(t(), Evision.FileStorage.t()) :: t() | {:error, String.t()}

Stores algorithm parameters in a file storage

Positional Arguments

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

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None