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

apply

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()

• points: Evision.Mat.t().

  a rows x cols x 3 matrix of CV_32F/CV64F or a rows x cols x 1 CV_U16S

Return

• normals: Evision.Mat.t().

  a rows x cols x 3 matrix

Given a set of 3d points in a depth image, compute the normals at each point.

Python prototype (for reference only):

apply(points[, normals]) -> normals

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

apply

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()

• points: Evision.Mat.t().

  a rows x cols x 3 matrix of CV_32F/CV64F or a rows x cols x 1 CV_U16S

Return

• normals: Evision.Mat.t().

  a rows x cols x 3 matrix

Given a set of 3d points in a depth image, compute the normals at each point.

Python prototype (for reference only):

apply(points[, normals]) -> normals

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

Clears the algorithm state

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()

Python prototype (for reference only):

clear() -> None

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

create

Positional Arguments

• rows: int.

  the number of rows of the depth image normals will be computed on

• cols: int.

  the number of cols of the depth image normals will be computed on

• depth: int.

  the depth of the normals (only CV_32F or CV_64F)

• k: Evision.Mat.t().

  the calibration matrix to use

Keyword Arguments

• window_size: int.

  the window size to compute the normals: can only be 1,3,5 or 7

• method: int.

  one of the methods to use: RGBD_NORMALS_METHOD_SRI, RGBD_NORMALS_METHOD_FALS

Return

• retval: RgbdNormals

Constructor

Python prototype (for reference only):

create(rows, cols, depth, K[, window_size[, method]]) -> retval

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

create

Positional Arguments

• rows: int.

  the number of rows of the depth image normals will be computed on

• cols: int.

  the number of cols of the depth image normals will be computed on

• depth: int.

  the depth of the normals (only CV_32F or CV_64F)

• k: Evision.Mat.t().

  the calibration matrix to use

Keyword Arguments

• window_size: int.

  the window size to compute the normals: can only be 1,3,5 or 7

• method: int.

  one of the methods to use: RGBD_NORMALS_METHOD_SRI, RGBD_NORMALS_METHOD_FALS

Return

• retval: RgbdNormals

Constructor

Python prototype (for reference only):

create(rows, cols, depth, K[, window_size[, method]]) -> retval

@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.RGBD.RgbdNormals.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

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

getCols

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()

Return

• retval: int

Python prototype (for reference only):

getCols() -> retval

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

getDefaultName

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()

Return

• retval: String

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 getDepth(t()) :: integer() | {:error, String.t()}

getDepth

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()

Return

• retval: int

Python prototype (for reference only):

getDepth() -> retval

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

getK

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()

Return

• retval: Evision.Mat.t()

Python prototype (for reference only):

getK() -> retval

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

getMethod

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()

Return

• retval: int

Python prototype (for reference only):

getMethod() -> retval

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

getRows

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()

Return

• retval: int

Python prototype (for reference only):

getRows() -> retval

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

getWindowSize

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()

Return

• retval: int

Python prototype (for reference only):

getWindowSize() -> retval

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

initialize

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()

Initializes some data that is cached for later computation If that function is not called, it will be called the first time normals are computed

Python prototype (for reference only):

initialize() -> None

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

Reads algorithm parameters from a file storage

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()
• fn_: Evision.FileNode.t()

Python prototype (for reference only):

read(fn_) -> None

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

save

Positional Arguments

• self: Evision.RGBD.RgbdNormals.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

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

setCols

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()
• val: int

Python prototype (for reference only):

setCols(val) -> None

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

setDepth

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()
• val: int

Python prototype (for reference only):

setDepth(val) -> None

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

setK

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()
• val: Evision.Mat.t()

Python prototype (for reference only):

setK(val) -> None

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

setMethod

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()
• val: int

Python prototype (for reference only):

setMethod(val) -> None

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

setRows

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()
• val: int

Python prototype (for reference only):

setRows(val) -> None

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

setWindowSize

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()
• val: int

Python prototype (for reference only):

setWindowSize(val) -> None

@spec write(t(), Evision.FileStorage.t()) :: t() | {:error, String.t()}

Stores algorithm parameters in a file storage

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()
• fs: Evision.FileStorage.t()

Python prototype (for reference only):

write(fs) -> None

@spec write(t(), Evision.FileStorage.t(), binary()) :: t() | {:error, String.t()}

write

Positional Arguments

• self: Evision.RGBD.RgbdNormals.t()
• fs: Evision.FileStorage.t()
• name: String

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None