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

Returns the prior probability that each individual pixel is a background pixel.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()

Return

• retval: double

Python prototype (for reference only):

getBackgroundPrior() -> retval

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

Returns the value of decision threshold.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()

Return

• retval: double

Decision value is the value above which pixel is determined to be FG.

Python prototype (for reference only):

getDecisionThreshold() -> retval

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

Returns the learning rate of the algorithm.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()

Return

• retval: double

It lies between 0.0 and 1.0. It determines how quickly features are "forgotten" from histograms.

Python prototype (for reference only):

getDefaultLearningRate() -> retval

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

Returns total number of distinct colors to maintain in histogram.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()

Return

• retval: int

Python prototype (for reference only):

getMaxFeatures() -> retval

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

Returns the maximum value taken on by pixels in image sequence. e.g. 1.0 or 255.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()

Return

• retval: double

Python prototype (for reference only):

getMaxVal() -> retval

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

Returns the minimum value taken on by pixels in image sequence. Usually 0.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()

Return

• retval: double

Python prototype (for reference only):

getMinVal() -> retval

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

Returns the number of frames used to initialize background model.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()

Return

• retval: int

Python prototype (for reference only):

getNumFrames() -> retval

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

Returns the parameter used for quantization of color-space.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()

Return

• retval: int

It is the number of discrete levels in each channel to be used in histograms.

Python prototype (for reference only):

getQuantizationLevels() -> retval

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

Returns the kernel radius used for morphological operations

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()

Return

• retval: int

Python prototype (for reference only):

getSmoothingRadius() -> retval

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

Returns the status of background model update

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()

Return

• retval: bool

Python prototype (for reference only):

getUpdateBackgroundModel() -> retval

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

Sets the prior probability that each individual pixel is a background pixel.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()
• bgprior: double

Python prototype (for reference only):

setBackgroundPrior(bgprior) -> None

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

Sets the value of decision threshold.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()
• thresh: double

Python prototype (for reference only):

setDecisionThreshold(thresh) -> None

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

Sets the learning rate of the algorithm.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()
• lr: double

Python prototype (for reference only):

setDefaultLearningRate(lr) -> None

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

Sets total number of distinct colors to maintain in histogram.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()
• maxFeatures: int

Python prototype (for reference only):

setMaxFeatures(maxFeatures) -> None

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

Sets the maximum value taken on by pixels in image sequence.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()
• val: double

Python prototype (for reference only):

setMaxVal(val) -> None

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

Sets the minimum value taken on by pixels in image sequence.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()
• val: double

Python prototype (for reference only):

setMinVal(val) -> None

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

Sets the number of frames used to initialize background model.

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()
• nframes: int

Python prototype (for reference only):

setNumFrames(nframes) -> None

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

Sets the parameter used for quantization of color-space

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()
• nlevels: int

Python prototype (for reference only):

setQuantizationLevels(nlevels) -> None

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

Sets the kernel radius used for morphological operations

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()
• radius: int

Python prototype (for reference only):

setSmoothingRadius(radius) -> None

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

Sets the status of background model update

Positional Arguments

• self: Evision.BgSegm.BackgroundSubtractorGMG.t()
• update: bool

Python prototype (for reference only):

setUpdateBackgroundModel(update) -> None