View Source Evision.CalibrateDebevec (Evision v0.2.4)

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

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(Keyword.t()) :: any() | {:error, String.t()}
@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(Keyword.t()) :: any() | {:error, String.t()}
@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
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getDefaultName(named_args)

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@spec getDefaultName(Keyword.t()) :: any() | {:error, String.t()}
@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(Keyword.t()) :: any() | {:error, String.t()}
@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(Keyword.t()) :: any() | {:error, String.t()}
@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(Keyword.t()) :: any() | {:error, String.t()}
@spec getSamples(t()) :: integer() | {:error, String.t()}

getSamples

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

Python prototype (for reference only):

getSamples() -> retval
@spec process(Keyword.t()) :: any() | {:error, String.t()}
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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.

    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
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process(self, src, times, opts)

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@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.

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

Reads algorithm parameters from a file storage

Positional Arguments

Python prototype (for reference only):

read(fn) -> None
@spec save(Keyword.t()) :: any() | {:error, String.t()}
@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(Keyword.t()) :: any() | {:error, String.t()}
@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(Keyword.t()) :: any() | {:error, String.t()}
@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
@spec setSamples(Keyword.t()) :: any() | {:error, String.t()}
Link to this function

setSamples(self, samples)

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

setSamples

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

Python prototype (for reference only):

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

Stores algorithm parameters in a file storage

Positional Arguments

Python prototype (for reference only):

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

write

Positional Arguments

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None