View Source Evision.CUDA.BackgroundSubtractorMOG2 (Evision v0.2.9)

Summary

Types

t()

Type that represents an CUDA.BackgroundSubtractorMOG2 struct.

Functions

apply(named_args)

apply(self, image, learningRate, stream)

Variant 1:

apply

apply(self, image, learningRate, stream, opts)

Variant 1:

apply

getBackgroundImage(named_args)

getBackgroundImage(self, stream)

getBackgroundImage

getBackgroundImage(self, stream, opts)

getBackgroundImage

Types

t()

@type t() :: %Evision.CUDA.BackgroundSubtractorMOG2{ref: reference()}

Type that represents an CUDA.BackgroundSubtractorMOG2 struct.

ref. reference()
The underlying erlang resource variable.

Functions

apply(named_args)

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

apply(self, image, learningRate, stream)

@spec apply(
  Evision.CUDA.CUDA.BackgroundSubtractorMOG2.t(),
  Evision.Mat.maybe_mat_in(),
  number(),
  Evision.CUDA.Stream.t()
) :: Evision.Mat.t() | {:error, String.t()}

@spec apply(
  Evision.CUDA.CUDA.BackgroundSubtractorMOG2.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.BackgroundSubtractorMOG2.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.BackgroundSubtractorMOG2.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

apply(self, image, learningRate, stream, opts)

@spec apply(
  Evision.CUDA.CUDA.BackgroundSubtractorMOG2.t(),
  Evision.Mat.maybe_mat_in(),
  number(),
  Evision.CUDA.Stream.t(),
  [{atom(), term()}, ...] | nil
) :: Evision.Mat.t() | {:error, String.t()}

@spec apply(
  Evision.CUDA.CUDA.BackgroundSubtractorMOG2.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.BackgroundSubtractorMOG2.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.BackgroundSubtractorMOG2.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

getBackgroundImage(named_args)

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

getBackgroundImage(self, stream)

@spec getBackgroundImage(
  Evision.CUDA.CUDA.BackgroundSubtractorMOG2.t(),
  Evision.CUDA.Stream.t()
) ::
  Evision.CUDA.GpuMat.t() | {:error, String.t()}

getBackgroundImage

Positional Arguments

self: Evision.CUDA.BackgroundSubtractorMOG2.t()
stream: Evision.CUDA.Stream.t()

Return

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

Python prototype (for reference only):

getBackgroundImage(stream[, backgroundImage]) -> backgroundImage

getBackgroundImage(self, stream, opts)

@spec getBackgroundImage(
  Evision.CUDA.CUDA.BackgroundSubtractorMOG2.t(),
  Evision.CUDA.Stream.t(),
  [{atom(), term()}, ...] | nil
) :: Evision.CUDA.GpuMat.t() | {:error, String.t()}

getBackgroundImage

Positional Arguments

self: Evision.CUDA.BackgroundSubtractorMOG2.t()
stream: Evision.CUDA.Stream.t()

Return

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

Python prototype (for reference only):

getBackgroundImage(stream[, backgroundImage]) -> backgroundImage