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

Clears the algorithm state

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.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.EdgeBoxes.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

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

Returns the step size of sliding window search.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: float

Python prototype (for reference only):

getAlpha() -> retval

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

Returns the nms threshold for object proposals.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: float

Python prototype (for reference only):

getBeta() -> retval

@spec getBoundingBoxes(t(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in()) ::
  {[{number(), number(), number(), number()}], Evision.Mat.t()}
  | {:error, String.t()}

Returns array containing proposal boxes.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

• edge_map: Evision.Mat.t().

  edge image.

• orientation_map: Evision.Mat.t().

  orientation map.

Return

• boxes: [Rect].

  proposal boxes.

• scores: Evision.Mat.t().

  of the proposal boxes, provided a vector of float types.

Python prototype (for reference only):

getBoundingBoxes(edge_map, orientation_map[, scores]) -> boxes, scores

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

Returns array containing proposal boxes.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

• edge_map: Evision.Mat.t().

  edge image.

• orientation_map: Evision.Mat.t().

  orientation map.

Return

• boxes: [Rect].

  proposal boxes.

• scores: Evision.Mat.t().

  of the proposal boxes, provided a vector of float types.

Python prototype (for reference only):

getBoundingBoxes(edge_map, orientation_map[, scores]) -> boxes, scores

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

Returns the cluster min magnitude.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: float

Python prototype (for reference only):

getClusterMinMag() -> retval

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

getDefaultName

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.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 getEdgeMergeThr(t()) :: number() | {:error, String.t()}

Returns the edge merge threshold.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: float

Python prototype (for reference only):

getEdgeMergeThr() -> retval

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

Returns the edge min magnitude.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: float

Python prototype (for reference only):

getEdgeMinMag() -> retval

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

Returns adaptation rate for nms threshold.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: float

Python prototype (for reference only):

getEta() -> retval

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

Returns the affinity sensitivity.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: float

Python prototype (for reference only):

getGamma() -> retval

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

Returns the scale sensitivity.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: float

Python prototype (for reference only):

getKappa() -> retval

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

Returns the max aspect ratio of boxes.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: float

Python prototype (for reference only):

getMaxAspectRatio() -> retval

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

Returns the max number of boxes to detect.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: int

Python prototype (for reference only):

getMaxBoxes() -> retval

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

Returns the minimum area of boxes.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: float

Python prototype (for reference only):

getMinBoxArea() -> retval

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

Returns the min score of boxes to detect.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()

Return

• retval: float

Python prototype (for reference only):

getMinScore() -> retval

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

Reads algorithm parameters from a file storage

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.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.EdgeBoxes.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 setAlpha(t(), number()) :: t() | {:error, String.t()}

Sets the step size of sliding window search.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: float

Python prototype (for reference only):

setAlpha(value) -> None

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

Sets the nms threshold for object proposals.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: float

Python prototype (for reference only):

setBeta(value) -> None

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

Sets the cluster min magnitude.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: float

Python prototype (for reference only):

setClusterMinMag(value) -> None

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

Sets the edge merge threshold.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: float

Python prototype (for reference only):

setEdgeMergeThr(value) -> None

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

Sets the edge min magnitude.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: float

Python prototype (for reference only):

setEdgeMinMag(value) -> None

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

Sets the adaptation rate for nms threshold.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: float

Python prototype (for reference only):

setEta(value) -> None

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

Sets the affinity sensitivity

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: float

Python prototype (for reference only):

setGamma(value) -> None

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

Sets the scale sensitivity.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: float

Python prototype (for reference only):

setKappa(value) -> None

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

Sets the max aspect ratio of boxes.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: float

Python prototype (for reference only):

setMaxAspectRatio(value) -> None

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

Sets max number of boxes to detect.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: int

Python prototype (for reference only):

setMaxBoxes(value) -> None

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

Sets the minimum area of boxes.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: float

Python prototype (for reference only):

setMinBoxArea(value) -> None

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

Sets the min score of boxes to detect.

Positional Arguments

• self: Evision.XImgProc.EdgeBoxes.t()
• value: float

Python prototype (for reference only):

setMinScore(value) -> None

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

Stores algorithm parameters in a file storage

Positional Arguments

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

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None