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

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

The constructor.

Positional Arguments

• clusterCount: integer()

Keyword Arguments

• termcrit: TermCriteria.
• attempts: integer().
• flags: integer().

Return

• self: Evision.BOWKMeansTrainer.t()

@see cv::kmeans

Python prototype (for reference only):

BOWKMeansTrainer(clusterCount[, termcrit[, attempts[, flags]]]) -> <BOWKMeansTrainer object>

@spec bowKMeansTrainer(
  integer(),
  [attempts: term(), flags: term(), termcrit: term()] | nil
) ::
  t() | {:error, String.t()}

The constructor.

Positional Arguments

• clusterCount: integer()

Keyword Arguments

• termcrit: TermCriteria.
• attempts: integer().
• flags: integer().

Return

• self: Evision.BOWKMeansTrainer.t()

@see cv::kmeans

Python prototype (for reference only):

BOWKMeansTrainer(clusterCount[, termcrit[, attempts[, flags]]]) -> <BOWKMeansTrainer object>

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

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

cluster

Positional Arguments

• self: Evision.BOWKMeansTrainer.t()

Return

• retval: Evision.Mat.t()

Python prototype (for reference only):

cluster() -> retval

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

cluster

Positional Arguments

• self: Evision.BOWKMeansTrainer.t()
• descriptors: Evision.Mat

Return

• retval: Evision.Mat.t()

Python prototype (for reference only):

cluster(descriptors) -> retval