@spec addGraphSegmentation(t(), Evision.XImgProc.GraphSegmentation.t()) ::
  t() | {:error, String.t()}

Add a new graph segmentation in the list of graph segementations to process.

Positional Arguments

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

• g: Evision.XImgProc.GraphSegmentation.t().

  The graph segmentation

Python prototype (for reference only):

addGraphSegmentation(g) -> None

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

Add a new image in the list of images to process.

Positional Arguments

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

• img: Evision.Mat.

  The image

Python prototype (for reference only):

addImage(img) -> None

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

Add a new strategy in the list of strategy to process.

Positional Arguments

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

• s: Evision.XImgProc.SelectiveSearchSegmentationStrategy.t().

  The strategy

Python prototype (for reference only):

addStrategy(s) -> None

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

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

Clears the algorithm state

Positional Arguments

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

Python prototype (for reference only):

clear() -> None

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

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

Clear the list of graph segmentations to process;

Positional Arguments

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

Python prototype (for reference only):

clearGraphSegmentations() -> None

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

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

Clear the list of images to process

Positional Arguments

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

Python prototype (for reference only):

clearImages() -> None

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

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

Clear the list of strategy to process;

Positional Arguments

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

Python prototype (for reference only):

clearStrategies() -> 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.Segmentation.SelectiveSearchSegmentation.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.Segmentation.SelectiveSearchSegmentation.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 process(Keyword.t()) :: any() | {:error, String.t()}

@spec process(t()) ::
  [{number(), number(), number(), number()}] | {:error, String.t()}

Based on all images, graph segmentations and stragies, computes all possible rects and return them

Positional Arguments

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

Return

• rects: [Rect].

  The list of rects. The first ones are more relevents than the lasts ones.

Python prototype (for reference only):

process() -> rects

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

Reads algorithm parameters from a file storage

Positional Arguments

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

Set a image used by switch* functions to initialize the class

Positional Arguments

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

• img: Evision.Mat.

  The image

Python prototype (for reference only):

setBaseImage(img) -> None

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

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

Initialize the class with the 'Selective search fast' parameters describled in @cite uijlings2013selective.

Positional Arguments

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

Keyword Arguments

• base_k: integer().

  The k parameter for the first graph segmentation

• inc_k: integer().

  The increment of the k parameter for all graph segmentations

• sigma: float.

  The sigma parameter for the graph segmentation

Python prototype (for reference only):

switchToSelectiveSearchFast([, base_k[, inc_k[, sigma]]]) -> None

@spec switchToSelectiveSearchFast(
  t(),
  [base_k: term(), inc_k: term(), sigma: term()] | nil
) ::
  t() | {:error, String.t()}

Initialize the class with the 'Selective search fast' parameters describled in @cite uijlings2013selective.

Positional Arguments

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

Keyword Arguments

• base_k: integer().

  The k parameter for the first graph segmentation

• inc_k: integer().

  The increment of the k parameter for all graph segmentations

• sigma: float.

  The sigma parameter for the graph segmentation

Python prototype (for reference only):

switchToSelectiveSearchFast([, base_k[, inc_k[, sigma]]]) -> None

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

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

Initialize the class with the 'Selective search fast' parameters describled in @cite uijlings2013selective.

Positional Arguments

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

Keyword Arguments

• base_k: integer().

  The k parameter for the first graph segmentation

• inc_k: integer().

  The increment of the k parameter for all graph segmentations

• sigma: float.

  The sigma parameter for the graph segmentation

Python prototype (for reference only):

switchToSelectiveSearchQuality([, base_k[, inc_k[, sigma]]]) -> None

@spec switchToSelectiveSearchQuality(
  t(),
  [base_k: term(), inc_k: term(), sigma: term()] | nil
) ::
  t() | {:error, String.t()}

Initialize the class with the 'Selective search fast' parameters describled in @cite uijlings2013selective.

Positional Arguments

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

Keyword Arguments

• base_k: integer().

  The k parameter for the first graph segmentation

• inc_k: integer().

  The increment of the k parameter for all graph segmentations

• sigma: float.

  The sigma parameter for the graph segmentation

Python prototype (for reference only):

switchToSelectiveSearchQuality([, base_k[, inc_k[, sigma]]]) -> None

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

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

Initialize the class with the 'Single stragegy' parameters describled in @cite uijlings2013selective.

Positional Arguments

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

Keyword Arguments

• k: integer().

  The k parameter for the graph segmentation

• sigma: float.

  The sigma parameter for the graph segmentation

Python prototype (for reference only):

switchToSingleStrategy([, k[, sigma]]) -> None

@spec switchToSingleStrategy(t(), [k: term(), sigma: term()] | nil) ::
  t() | {:error, String.t()}

Initialize the class with the 'Single stragegy' parameters describled in @cite uijlings2013selective.

Positional Arguments

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

Keyword Arguments

• k: integer().

  The k parameter for the graph segmentation

• sigma: float.

  The sigma parameter for the graph segmentation

Python prototype (for reference only):

switchToSingleStrategy([, k[, sigma]]) -> None

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

Stores algorithm parameters in a file storage

Positional Arguments

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

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None