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

@spec create(Evision.FileNode.t()) :: t() | {:error, String.t()}

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

Variant 1:

create

Positional Arguments

• func: Evision.FileNode

Return

• retval: Modality

\brief Load a modality from file.

Python prototype (for reference only):

create(fn) -> retval

Variant 2:

create

Positional Arguments

• modality_type: String

Return

• retval: Modality

\brief Create modality by name. The following modality types are supported:

• "ColorGradient"
• "DepthNormal"

Python prototype (for reference only):

create(modality_type) -> retval

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

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

name

Positional Arguments

• self: Evision.LineMod.Modality.t()

Return

• retval: String

Python prototype (for reference only):

name() -> retval

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

process

Positional Arguments

• self: Evision.LineMod.Modality.t()
• src: Evision.Mat

Keyword Arguments

• mask: Evision.Mat.

Return

• retval: QuantizedPyramid

\brief Form a quantized image pyramid from a source image. \param[in] src The source image. Type depends on the modality. \param[in] mask Optional mask. If not empty, unmasked pixels are set to zero

             in quantized image and cannot be extracted as features.

Python prototype (for reference only):

process(src[, mask]) -> retval

@spec process(t(), Evision.Mat.maybe_mat_in(), [{:mask, term()}] | nil) ::
  Evision.LineMod.QuantizedPyramid.t() | {:error, String.t()}

process

Positional Arguments

• self: Evision.LineMod.Modality.t()
• src: Evision.Mat

Keyword Arguments

• mask: Evision.Mat.

Return

• retval: QuantizedPyramid

\brief Form a quantized image pyramid from a source image. \param[in] src The source image. Type depends on the modality. \param[in] mask Optional mask. If not empty, unmasked pixels are set to zero

             in quantized image and cannot be extracted as features.

Python prototype (for reference only):

process(src[, mask]) -> retval

@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}

read

Positional Arguments

• self: Evision.LineMod.Modality.t()
• func: Evision.FileNode

Python prototype (for reference only):

read(fn) -> None