View Source Evision.CalibrateDebevec (Evision v0.1.37)

Summary

Types

t()

Type that represents an CalibrateDebevec struct.

Functions

Clears the algorithm state

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

getDefaultName

getLambda

getRandom

getSamples

Recovers inverse camera response.

Recovers inverse camera response.

Reads algorithm parameters from a file storage

Stores algorithm parameters in a file storage

Types

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

Type that represents an CalibrateDebevec struct.

  • ref. reference()

    The underlying erlang resource variable.

Functions

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

Clears the algorithm state

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

Python prototype (for reference only):

clear() -> None
@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.CalibrateDebevec.t()
Return
  • retval: bool

Python prototype (for reference only):

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

getDefaultName

Positional Arguments
  • self: Evision.CalibrateDebevec.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 getLambda(t()) :: number() | {:error, String.t()}

getLambda

Positional Arguments
  • self: Evision.CalibrateDebevec.t()
Return
  • retval: float

Python prototype (for reference only):

getLambda() -> retval
@spec getRandom(t()) :: boolean() | {:error, String.t()}

getRandom

Positional Arguments
  • self: Evision.CalibrateDebevec.t()
Return
  • retval: bool

Python prototype (for reference only):

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

getSamples

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

Python prototype (for reference only):

getSamples() -> retval
Link to this function

process(self, src, times)

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

Recovers inverse camera response.

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

  • src: [Evision.Mat].

    vector of input images

  • times: Evision.Mat.t().

    vector of exposure time values for each image

Return
  • dst: Evision.Mat.t().

    256x1 matrix with inverse camera response function

Python prototype (for reference only):

process(src, times[, dst]) -> dst
Link to this function

process(self, src, times, opts)

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

Recovers inverse camera response.

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

  • src: [Evision.Mat].

    vector of input images

  • times: Evision.Mat.t().

    vector of exposure time values for each image

Return
  • dst: Evision.Mat.t().

    256x1 matrix with inverse camera response function

Python prototype (for reference only):

process(src, times[, dst]) -> dst
@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}

Reads algorithm parameters from a file storage

Positional Arguments
  • self: Evision.CalibrateDebevec.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.CalibrateDebevec.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 setLambda(t(), number()) :: t() | {:error, String.t()}

setLambda

Positional Arguments
  • self: Evision.CalibrateDebevec.t()
  • lambda: float

Python prototype (for reference only):

setLambda(lambda) -> None
@spec setRandom(t(), boolean()) :: t() | {:error, String.t()}

setRandom

Positional Arguments
  • self: Evision.CalibrateDebevec.t()
  • random: bool

Python prototype (for reference only):

setRandom(random) -> None
Link to this function

setSamples(self, samples)

View Source
@spec setSamples(t(), integer()) :: t() | {:error, String.t()}

setSamples

Positional Arguments
  • self: Evision.CalibrateDebevec.t()
  • samples: int

Python prototype (for reference only):

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

Stores algorithm parameters in a file storage

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

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None