View Source Evision.XImgProc.SparseMatchInterpolator (Evision v0.1.28)

Link to this section Summary

Types

t()

Type that represents an XImgProc.SparseMatchInterpolator struct.

Functions

Clears the algorithm state

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

getDefaultName

Reads algorithm parameters from a file storage

Stores algorithm parameters in a file storage

Link to this section Types

@type t() :: %Evision.XImgProc.SparseMatchInterpolator{ref: reference()}

Type that represents an XImgProc.SparseMatchInterpolator struct.

  • ref. reference()

    The underlying erlang resource variable.

Link to this section Functions

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

getDefaultName

Positional Arguments
  • self: Evision.XImgProc.SparseMatchInterpolator.t()
Return

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
Link to this function

interpolate(self, from_image, from_points, to_image, to_points)

View Source

Interpolate input sparse matches.

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

  • from_image: Evision.Mat.t().

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

  • from_points: Evision.Mat.t().

    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.t().

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

  • to_points: Evision.Mat.t().

    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
Link to this function

interpolate(self, from_image, from_points, to_image, to_points, opts)

View Source
@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.t().

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

  • from_points: Evision.Mat.t().

    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.t().

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

  • to_points: Evision.Mat.t().

    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()
  • fn_: Evision.FileNode.t()

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.t()

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.t()
  • name: String

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None