View Source Evision.BgSegm.BackgroundSubtractorMOG (Evision v0.2.9)

Summary

Types

t()

Type that represents an BgSegm.BackgroundSubtractorMOG struct.

Functions

Computes a foreground mask.

Computes a foreground mask.

Clears the algorithm state

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

Computes a background image.

Computes a background image.

getBackgroundRatio

Reads algorithm parameters from a file storage

Stores algorithm parameters in a file storage

Types

@type t() :: %Evision.BgSegm.BackgroundSubtractorMOG{ref: reference()}

Type that represents an BgSegm.BackgroundSubtractorMOG struct.

  • ref. reference()

    The underlying erlang resource variable.

Functions

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

Computes a foreground mask.

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()

  • image: Evision.Mat.

    Next video frame.

Keyword Arguments
  • learningRate: double.

    The value between 0 and 1 that indicates how fast the background model is learnt. Negative parameter value makes the algorithm to use some automatically chosen learning rate. 0 means that the background model is not updated at all, 1 means that the background model is completely reinitialized from the last frame.

Return
  • fgmask: Evision.Mat.t().

    The output foreground mask as an 8-bit binary image.

Python prototype (for reference only):

apply(image[, fgmask[, learningRate]]) -> fgmask
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apply(self, image, opts)

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

Computes a foreground mask.

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()

  • image: Evision.Mat.

    Next video frame.

Keyword Arguments
  • learningRate: double.

    The value between 0 and 1 that indicates how fast the background model is learnt. Negative parameter value makes the algorithm to use some automatically chosen learning rate. 0 means that the background model is not updated at all, 1 means that the background model is completely reinitialized from the last frame.

Return
  • fgmask: Evision.Mat.t().

    The output foreground mask as an 8-bit binary image.

Python prototype (for reference only):

apply(image[, fgmask[, learningRate]]) -> fgmask
@spec clear(Keyword.t()) :: any() | {:error, String.t()}
@spec clear(t()) :: t() | {:error, String.t()}

Clears the algorithm state

Positional Arguments
  • self: Evision.BgSegm.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.BgSegm.BackgroundSubtractorMOG.t()
Return
  • retval: bool

Python prototype (for reference only):

empty() -> retval
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getBackgroundImage(named_args)

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

Computes a background image.

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()
Return
  • backgroundImage: Evision.Mat.t().

    The output background image.

Note: Sometimes the background image can be very blurry, as it contain the average background statistics.

Python prototype (for reference only):

getBackgroundImage([, backgroundImage]) -> backgroundImage
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getBackgroundImage(self, opts)

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

Computes a background image.

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()
Return
  • backgroundImage: Evision.Mat.t().

    The output background image.

Note: Sometimes the background image can be very blurry, as it contain the average background statistics.

Python prototype (for reference only):

getBackgroundImage([, backgroundImage]) -> backgroundImage
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getBackgroundRatio(named_args)

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

getBackgroundRatio

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()
Return
  • retval: double

Python prototype (for reference only):

getBackgroundRatio() -> retval
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getDefaultName(named_args)

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

getDefaultName

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()
Return

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.BgSegm.BackgroundSubtractorMOG.t()
Return
  • retval: integer()

Python prototype (for reference only):

getHistory() -> retval
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getNMixtures(named_args)

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

getNMixtures

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()
Return
  • retval: integer()

Python prototype (for reference only):

getNMixtures() -> retval
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getNoiseSigma(named_args)

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

getNoiseSigma

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()
Return
  • retval: double

Python prototype (for reference only):

getNoiseSigma() -> retval
@spec read(Keyword.t()) :: any() | {:error, String.t()}
@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}

Reads algorithm parameters from a file storage

Positional Arguments

Python prototype (for reference only):

read(fn) -> None
@spec save(Keyword.t()) :: any() | {:error, String.t()}
@spec save(t(), binary()) :: t() | {:error, String.t()}

save

Positional Arguments
  • self: Evision.BgSegm.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
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setBackgroundRatio(named_args)

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@spec setBackgroundRatio(Keyword.t()) :: any() | {:error, String.t()}
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setBackgroundRatio(self, backgroundRatio)

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

setBackgroundRatio

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()
  • backgroundRatio: double

Python prototype (for reference only):

setBackgroundRatio(backgroundRatio) -> None
@spec setHistory(Keyword.t()) :: any() | {:error, String.t()}
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setHistory(self, nframes)

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

setHistory

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()
  • nframes: integer()

Python prototype (for reference only):

setHistory(nframes) -> None
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setNMixtures(named_args)

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@spec setNMixtures(Keyword.t()) :: any() | {:error, String.t()}
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setNMixtures(self, nmix)

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

setNMixtures

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()
  • nmix: integer()

Python prototype (for reference only):

setNMixtures(nmix) -> None
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setNoiseSigma(named_args)

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@spec setNoiseSigma(Keyword.t()) :: any() | {:error, String.t()}
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setNoiseSigma(self, noiseSigma)

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

setNoiseSigma

Positional Arguments
  • self: Evision.BgSegm.BackgroundSubtractorMOG.t()
  • noiseSigma: double

Python prototype (for reference only):

setNoiseSigma(noiseSigma) -> None
@spec write(Keyword.t()) :: any() | {:error, String.t()}
@spec write(t(), Evision.FileStorage.t()) :: t() | {:error, String.t()}

Stores algorithm parameters in a file storage

Positional Arguments

Python prototype (for reference only):

write(fs) -> None
@spec write(t(), Evision.FileStorage.t(), binary()) :: t() | {:error, String.t()}

write

Positional Arguments

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None