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

Updates the predicted state from the measurement.

Positional Arguments

• self: Evision.KalmanFilter.t()

• measurement: Evision.Mat.

  The measured system parameters

Return

• retval: Evision.Mat.t()

Python prototype (for reference only):

correct(measurement) -> retval

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

KalmanFilter

Return

• self: Evision.KalmanFilter.t()

Python prototype (for reference only):

KalmanFilter() -> <KalmanFilter object>

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

KalmanFilter

Positional Arguments

• dynamParams: integer().

  Dimensionality of the state.

• measureParams: integer().

  Dimensionality of the measurement.

Keyword Arguments

• controlParams: integer().

  Dimensionality of the control vector.

• type: integer().

  Type of the created matrices that should be CV_32F or CV_64F.

Return

• self: Evision.KalmanFilter.t()

Has overloading in C++

Python prototype (for reference only):

KalmanFilter(dynamParams, measureParams[, controlParams[, type]]) -> <KalmanFilter object>

@spec kalmanFilter(integer(), integer(), [controlParams: term(), type: term()] | nil) ::
  t() | {:error, String.t()}

KalmanFilter

Positional Arguments

• dynamParams: integer().

  Dimensionality of the state.

• measureParams: integer().

  Dimensionality of the measurement.

Keyword Arguments

• controlParams: integer().

  Dimensionality of the control vector.

• type: integer().

  Type of the created matrices that should be CV_32F or CV_64F.

Return

• self: Evision.KalmanFilter.t()

Has overloading in C++

Python prototype (for reference only):

KalmanFilter(dynamParams, measureParams[, controlParams[, type]]) -> <KalmanFilter object>

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

@spec predict(t()) :: Evision.Mat.t() | {:error, String.t()}

Computes a predicted state.

Positional Arguments

• self: Evision.KalmanFilter.t()

Keyword Arguments

• control: Evision.Mat.

  The optional input control

Return

• retval: Evision.Mat.t()

Python prototype (for reference only):

predict([, control]) -> retval

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

Computes a predicted state.

Positional Arguments

• self: Evision.KalmanFilter.t()

Keyword Arguments

• control: Evision.Mat.

  The optional input control

Return

• retval: Evision.Mat.t()

Python prototype (for reference only):

predict([, control]) -> retval