View Source Evision.StereoMatcher (Evision v0.1.34)

Summary

Types

t()

Type that represents an StereoMatcher struct.

Functions

Clears the algorithm state

Computes disparity map for the specified stereo pair

Computes disparity map for the specified stereo pair

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

getBlockSize

getDefaultName

getDisp12MaxDiff

getMinDisparity

getNumDisparities

getSpeckleRange

getSpeckleWindowSize

Reads algorithm parameters from a file storage

Stores algorithm parameters in a file storage

Types

@type t() :: %Evision.StereoMatcher{ref: reference()}

Type that represents an StereoMatcher struct.

  • ref. reference()

    The underlying erlang resource variable.

Functions

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

Clears the algorithm state

Positional Arguments
  • self: Evision.StereoMatcher.t()

Python prototype (for reference only):

clear() -> None
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compute(self, left, right)

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

Computes disparity map for the specified stereo pair

Positional Arguments
  • self: Evision.StereoMatcher.t()

  • left: Evision.Mat.t().

    Left 8-bit single-channel image.

  • right: Evision.Mat.t().

    Right image of the same size and the same type as the left one.

Return
  • disparity: Evision.Mat.t().

    Output disparity map. It has the same size as the input images. Some algorithms, like StereoBM or StereoSGBM compute 16-bit fixed-point disparity map (where each disparity value has 4 fractional bits), whereas other algorithms output 32-bit floating-point disparity map.

Python prototype (for reference only):

compute(left, right[, disparity]) -> disparity
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compute(self, left, right, opts)

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

Computes disparity map for the specified stereo pair

Positional Arguments
  • self: Evision.StereoMatcher.t()

  • left: Evision.Mat.t().

    Left 8-bit single-channel image.

  • right: Evision.Mat.t().

    Right image of the same size and the same type as the left one.

Return
  • disparity: Evision.Mat.t().

    Output disparity map. It has the same size as the input images. Some algorithms, like StereoBM or StereoSGBM compute 16-bit fixed-point disparity map (where each disparity value has 4 fractional bits), whereas other algorithms output 32-bit floating-point disparity map.

Python prototype (for reference only):

compute(left, right[, disparity]) -> disparity
@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.StereoMatcher.t()
Return
  • retval: bool

Python prototype (for reference only):

empty() -> retval
@spec getBlockSize(t()) :: integer() | {:error, String.t()}

getBlockSize

Positional Arguments
  • self: Evision.StereoMatcher.t()
Return
  • retval: int

Python prototype (for reference only):

getBlockSize() -> retval
@spec getDefaultName(t()) :: binary() | {:error, String.t()}

getDefaultName

Positional Arguments
  • self: Evision.StereoMatcher.t()
Return

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 getDisp12MaxDiff(t()) :: integer() | {:error, String.t()}

getDisp12MaxDiff

Positional Arguments
  • self: Evision.StereoMatcher.t()
Return
  • retval: int

Python prototype (for reference only):

getDisp12MaxDiff() -> retval
@spec getMinDisparity(t()) :: integer() | {:error, String.t()}

getMinDisparity

Positional Arguments
  • self: Evision.StereoMatcher.t()
Return
  • retval: int

Python prototype (for reference only):

getMinDisparity() -> retval
@spec getNumDisparities(t()) :: integer() | {:error, String.t()}

getNumDisparities

Positional Arguments
  • self: Evision.StereoMatcher.t()
Return
  • retval: int

Python prototype (for reference only):

getNumDisparities() -> retval
@spec getSpeckleRange(t()) :: integer() | {:error, String.t()}

getSpeckleRange

Positional Arguments
  • self: Evision.StereoMatcher.t()
Return
  • retval: int

Python prototype (for reference only):

getSpeckleRange() -> retval
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getSpeckleWindowSize(self)

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

getSpeckleWindowSize

Positional Arguments
  • self: Evision.StereoMatcher.t()
Return
  • retval: int

Python prototype (for reference only):

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

Reads algorithm parameters from a file storage

Positional Arguments
  • self: Evision.StereoMatcher.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.StereoMatcher.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
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setBlockSize(self, blockSize)

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

setBlockSize

Positional Arguments
  • self: Evision.StereoMatcher.t()
  • blockSize: int

Python prototype (for reference only):

setBlockSize(blockSize) -> None
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setDisp12MaxDiff(self, disp12MaxDiff)

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@spec setDisp12MaxDiff(t(), integer()) :: t() | {:error, String.t()}

setDisp12MaxDiff

Positional Arguments
  • self: Evision.StereoMatcher.t()
  • disp12MaxDiff: int

Python prototype (for reference only):

setDisp12MaxDiff(disp12MaxDiff) -> None
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setMinDisparity(self, minDisparity)

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

setMinDisparity

Positional Arguments
  • self: Evision.StereoMatcher.t()
  • minDisparity: int

Python prototype (for reference only):

setMinDisparity(minDisparity) -> None
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setNumDisparities(self, numDisparities)

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

setNumDisparities

Positional Arguments
  • self: Evision.StereoMatcher.t()
  • numDisparities: int

Python prototype (for reference only):

setNumDisparities(numDisparities) -> None
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setSpeckleRange(self, speckleRange)

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

setSpeckleRange

Positional Arguments
  • self: Evision.StereoMatcher.t()
  • speckleRange: int

Python prototype (for reference only):

setSpeckleRange(speckleRange) -> None
Link to this function

setSpeckleWindowSize(self, speckleWindowSize)

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

setSpeckleWindowSize

Positional Arguments
  • self: Evision.StereoMatcher.t()
  • speckleWindowSize: int

Python prototype (for reference only):

setSpeckleWindowSize(speckleWindowSize) -> None
@spec write(t(), Evision.FileStorage.t()) :: t() | {:error, String.t()}

Stores algorithm parameters in a file storage

Positional Arguments
  • self: Evision.StereoMatcher.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.StereoMatcher.t()
  • fs: Evision.FileStorage.t()
  • name: String

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None