@spec apply(t(), Evision.Mat.maybe_mat_in(), number(), Evision.CUDA.Stream.t()) ::
  Evision.Mat.t() | {:error, String.t()}

@spec apply(t(), Evision.CUDA.GpuMat.t(), number(), Evision.CUDA.Stream.t()) ::
  Evision.CUDA.GpuMat.t() | {:error, String.t()}

Variant 1:

apply

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()
• image: Evision.Mat
• learningRate: double
• stream: Evision.CUDA.Stream.t()

Return

• fgmask: Evision.Mat.t().

Python prototype (for reference only):

apply(image, learningRate, stream[, fgmask]) -> fgmask

Variant 2:

apply

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()
• image: Evision.CUDA.GpuMat.t()
• learningRate: double
• stream: Evision.CUDA.Stream.t()

Return

• fgmask: Evision.CUDA.GpuMat.t().

Python prototype (for reference only):

apply(image, learningRate, stream[, fgmask]) -> fgmask

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

@spec apply(
  t(),
  Evision.CUDA.GpuMat.t(),
  number(),
  Evision.CUDA.Stream.t(),
  [{atom(), term()}, ...] | nil
) :: Evision.CUDA.GpuMat.t() | {:error, String.t()}

Variant 1:

apply

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()
• image: Evision.Mat
• learningRate: double
• stream: Evision.CUDA.Stream.t()

Return

• fgmask: Evision.Mat.t().

Python prototype (for reference only):

apply(image, learningRate, stream[, fgmask]) -> fgmask

Variant 2:

apply

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()
• image: Evision.CUDA.GpuMat.t()
• learningRate: double
• stream: Evision.CUDA.Stream.t()

Return

• fgmask: Evision.CUDA.GpuMat.t().

Python prototype (for reference only):

apply(image, learningRate, stream[, fgmask]) -> fgmask

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

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

Clears the algorithm state

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()

Python prototype (for reference only):

clear() -> 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.CUDA.BackgroundSubtractorMOG.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

@spec getBackgroundImage(t(), Evision.CUDA.Stream.t()) ::
  Evision.CUDA.GpuMat.t() | {:error, String.t()}

getBackgroundImage

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()
• stream: Evision.CUDA.Stream.t()

Return

• backgroundImage: Evision.CUDA.GpuMat.t().

Python prototype (for reference only):

getBackgroundImage(stream[, backgroundImage]) -> backgroundImage

@spec getBackgroundImage(t(), Evision.CUDA.Stream.t(), [{atom(), term()}, ...] | nil) ::
  Evision.CUDA.GpuMat.t() | {:error, String.t()}

getBackgroundImage

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()
• stream: Evision.CUDA.Stream.t()

Return

• backgroundImage: Evision.CUDA.GpuMat.t().

Python prototype (for reference only):

getBackgroundImage(stream[, backgroundImage]) -> backgroundImage

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

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

getBackgroundRatio

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()

Return

• retval: double

Python prototype (for reference only):

getBackgroundRatio() -> retval

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

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

getDefaultName

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.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 getHistory(Keyword.t()) :: any() | {:error, String.t()}

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

getHistory

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()

Return

• retval: integer()

Python prototype (for reference only):

getHistory() -> retval

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

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

getNMixtures

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()

Return

• retval: integer()

Python prototype (for reference only):

getNMixtures() -> retval

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

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

getNoiseSigma

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()

Return

• retval: double

Python prototype (for reference only):

getNoiseSigma() -> retval

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

Reads algorithm parameters from a file storage

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.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.CUDA.BackgroundSubtractorMOG.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 setBackgroundRatio(t(), number()) :: t() | {:error, String.t()}

setBackgroundRatio

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()
• backgroundRatio: double

Python prototype (for reference only):

setBackgroundRatio(backgroundRatio) -> None

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

setHistory

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()
• nframes: integer()

Python prototype (for reference only):

setHistory(nframes) -> None

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

setNMixtures

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()
• nmix: integer()

Python prototype (for reference only):

setNMixtures(nmix) -> None

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

setNoiseSigma

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.t()
• noiseSigma: double

Python prototype (for reference only):

setNoiseSigma(noiseSigma) -> None

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

Stores algorithm parameters in a file storage

Positional Arguments

• self: Evision.CUDA.BackgroundSubtractorMOG.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.CUDA.BackgroundSubtractorMOG.t()
• fs: Evision.FileStorage
• name: String

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None