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

Clears the algorithm state

Positional Arguments

• self: Evision.XImgProc.Segmentation.SelectiveSearchSegmentationStrategy.t()

Python prototype (for reference only):

clear() -> None

@spec empty(Evision.XImgProc.SelectiveSearchSegmentationStrategy.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.Segmentation.SelectiveSearchSegmentationStrategy.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

@spec get(
  Evision.XImgProc.SelectiveSearchSegmentationStrategy.t(),
  integer(),
  integer()
) ::
  number() | {:error, String.t()}

Return the score between two regions (between 0 and 1)

Positional Arguments

• self: Evision.XImgProc.Segmentation.SelectiveSearchSegmentationStrategy.t()

• r1: int.

  The first region

• r2: int.

  The second region

Return

• retval: float

Python prototype (for reference only):

get(r1, r2) -> retval

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

getDefaultName

Positional Arguments

• self: Evision.XImgProc.Segmentation.SelectiveSearchSegmentationStrategy.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 merge(
  Evision.XImgProc.SelectiveSearchSegmentationStrategy.t(),
  integer(),
  integer()
) ::
  Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
  | {:error, String.t()}

Inform the strategy that two regions will be merged

Positional Arguments

• self: Evision.XImgProc.Segmentation.SelectiveSearchSegmentationStrategy.t()

• r1: int.

  The first region

• r2: int.

  The second region

Python prototype (for reference only):

merge(r1, r2) -> None

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

Reads algorithm parameters from a file storage

Positional Arguments

• self: Evision.XImgProc.Segmentation.SelectiveSearchSegmentationStrategy.t()
• fn_: Evision.FileNode.t()

Python prototype (for reference only):

read(fn_) -> None

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

save

Positional Arguments

• self: Evision.XImgProc.Segmentation.SelectiveSearchSegmentationStrategy.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 setImage(
  Evision.XImgProc.SelectiveSearchSegmentationStrategy.t(),
  Evision.Mat.maybe_mat_in(),
  Evision.Mat.maybe_mat_in(),
  Evision.Mat.maybe_mat_in()
) ::
  Evision.XImgProc.SelectiveSearchSegmentationStrategy.t()
  | {:error, String.t()}

Set a initial image, with a segmentation.

Positional Arguments

• self: Evision.XImgProc.Segmentation.SelectiveSearchSegmentationStrategy.t()

• img: Evision.Mat.t().

  The input image. Any number of channel can be provided

• regions: Evision.Mat.t().

  A segmentation of the image. The parameter must be the same size of img.

• sizes: Evision.Mat.t().

  The sizes of different regions

Keyword Arguments

• image_id: int.

  If not set to -1, try to cache pre-computations. If the same set og (img, regions, size) is used, the image_id need to be the same.

Python prototype (for reference only):

setImage(img, regions, sizes[, image_id]) -> None

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

Set a initial image, with a segmentation.

Positional Arguments

• self: Evision.XImgProc.Segmentation.SelectiveSearchSegmentationStrategy.t()

• img: Evision.Mat.t().

  The input image. Any number of channel can be provided

• regions: Evision.Mat.t().

  A segmentation of the image. The parameter must be the same size of img.

• sizes: Evision.Mat.t().

  The sizes of different regions

Keyword Arguments

• image_id: int.

  If not set to -1, try to cache pre-computations. If the same set og (img, regions, size) is used, the image_id need to be the same.

Python prototype (for reference only):

setImage(img, regions, sizes[, image_id]) -> None

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

Stores algorithm parameters in a file storage

Positional Arguments

• self: Evision.XImgProc.Segmentation.SelectiveSearchSegmentationStrategy.t()
• fs: Evision.FileStorage.t()

Python prototype (for reference only):

write(fs) -> None

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

write

Positional Arguments

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

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None