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

computeSaliency

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()
• image: Evision.Mat.t()

Return

• retval: bool
• saliencyMap: Evision.Mat.t().

Python prototype (for reference only):

computeSaliency(image[, saliencyMap]) -> retval, saliencyMap

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

computeSaliency

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()
• image: Evision.Mat.t()

Return

• retval: bool
• saliencyMap: Evision.Mat.t().

Python prototype (for reference only):

computeSaliency(image[, saliencyMap]) -> retval, saliencyMap

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

create

Return

• retval: ObjectnessBING

Python prototype (for reference only):

create() -> retval

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

getBase

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()

Return

• retval: double

Python prototype (for reference only):

getBase() -> retval

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

getNSS

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()

Return

• retval: int

Python prototype (for reference only):

getNSS() -> retval

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

Return the list of the rectangles' objectness value,

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()

Return

• retval: [float]

in the same order as the vector\<Vec4i> objectnessBoundingBox returned by the algorithm (in computeSaliencyImpl function). The bigger value these scores are, it is more likely to be an object window.

Python prototype (for reference only):

getobjectnessValues() -> retval

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

getW

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()

Return

• retval: int

Python prototype (for reference only):

getW() -> retval

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

read

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()

Python prototype (for reference only):

read() -> None

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

setBase

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()
• val: double

Python prototype (for reference only):

setBase(val) -> None

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

This is a utility function that allows to set an arbitrary path in which the algorithm will save the optional results

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()

• resultsDir: String.

  results' folder path

(ie writing on file the total number and the list of rectangles returned by objectess, one for each row).

Python prototype (for reference only):

setBBResDir(resultsDir) -> None

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

setNSS

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()
• val: int

Python prototype (for reference only):

setNSS(val) -> None

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

This is a utility function that allows to set the correct path from which the algorithm will load the trained model.

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()

• trainingPath: String.

  trained model path

Python prototype (for reference only):

setTrainingPath(trainingPath) -> None

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

setW

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()
• val: int

Python prototype (for reference only):

setW(val) -> None

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

write

Positional Arguments

• self: Evision.Saliency.ObjectnessBING.t()

Python prototype (for reference only):

write() -> None