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

Link to this section Summary

Types

t()

Type that represents an XImgProc.AdaptiveManifoldFilter struct.

Functions

Clears the algorithm state

collectGarbage

create

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

Apply high-dimensional filtering using adaptive manifolds.

Apply high-dimensional filtering using adaptive manifolds.

getDefaultName

Reads algorithm parameters from a file storage

Stores algorithm parameters in a file storage

Link to this section Types

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

Type that represents an XImgProc.AdaptiveManifoldFilter 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.AdaptiveManifoldFilter.t()

Python prototype (for reference only):

clear() -> None
@spec collectGarbage(t()) :: t() | {:error, String.t()}

collectGarbage

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

Python prototype (for reference only):

collectGarbage() -> None
@spec create() :: t() | {:error, String.t()}

create

Return
  • retval: Evision.XImgProc.AdaptiveManifoldFilter.t()

Python prototype (for reference only):

create() -> retval
@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.AdaptiveManifoldFilter.t()
Return
  • retval: bool

Python prototype (for reference only):

empty() -> retval
@spec filter(t(), Evision.Mat.maybe_mat_in()) ::
  Evision.Mat.t() | {:error, String.t()}

Apply high-dimensional filtering using adaptive manifolds.

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

  • src: Evision.Mat.t().

    filtering image with any numbers of channels.

Keyword Arguments
  • joint: Evision.Mat.t().

    optional joint (also called as guided) image with any numbers of channels.

Return
  • dst: Evision.Mat.t().

    output image.

Python prototype (for reference only):

filter(src[, dst[, joint]]) -> dst
@spec filter(t(), Evision.Mat.maybe_mat_in(), [{atom(), term()}, ...] | nil) ::
  Evision.Mat.t() | {:error, String.t()}

Apply high-dimensional filtering using adaptive manifolds.

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

  • src: Evision.Mat.t().

    filtering image with any numbers of channels.

Keyword Arguments
  • joint: Evision.Mat.t().

    optional joint (also called as guided) image with any numbers of channels.

Return
  • dst: Evision.Mat.t().

    output image.

Python prototype (for reference only):

filter(src[, dst[, joint]]) -> dst
@spec getDefaultName(t()) :: binary() | {:error, String.t()}

getDefaultName

Positional Arguments
  • self: Evision.XImgProc.AdaptiveManifoldFilter.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
@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}

Reads algorithm parameters from a file storage

Positional Arguments
  • self: Evision.XImgProc.AdaptiveManifoldFilter.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.AdaptiveManifoldFilter.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.AdaptiveManifoldFilter.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.AdaptiveManifoldFilter.t()
  • fs: Evision.FileStorage.t()
  • name: String

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None