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

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

Clears the algorithm state

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.t()

Python prototype (for reference only):

clear() -> None

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

Compare the hash value between inOne and inTwo

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.t()

• hashOne: Evision.Mat.

  Hash value one

• hashTwo: Evision.Mat.

  Hash value two

Return

• retval: double

@return value indicate similarity between inOne and inTwo, the meaning of the value vary from algorithms to algorithms

Python prototype (for reference only):

compare(hashOne, hashTwo) -> retval

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

Computes hash of the input image

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.t()

• inputArr: Evision.Mat.

  input image want to compute hash value

Return

• outputArr: Evision.Mat.t().

  hash of the image

Python prototype (for reference only):

compute(inputArr[, outputArr]) -> outputArr

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

Computes hash of the input image

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.t()

• inputArr: Evision.Mat.

  input image want to compute hash value

Return

• outputArr: Evision.Mat.t().

  hash of the image

Python prototype (for reference only):

compute(inputArr[, outputArr]) -> outputArr

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

create

Keyword Arguments

• sigma: double.
• numOfAngleLine: integer().

Return

• retval: Evision.ImgHash.RadialVarianceHash.t()

Python prototype (for reference only):

create([, sigma[, numOfAngleLine]]) -> retval

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

@spec create([numOfAngleLine: term(), sigma: term()] | nil) ::
  t() | {:error, String.t()}

create

Keyword Arguments

• sigma: double.
• numOfAngleLine: integer().

Return

• retval: Evision.ImgHash.RadialVarianceHash.t()

Python prototype (for reference only):

create([, sigma[, numOfAngleLine]]) -> retval

@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.ImgHash.RadialVarianceHash.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

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

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

getDefaultName

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.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 getNumOfAngleLine(Keyword.t()) :: any() | {:error, String.t()}

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

getNumOfAngleLine

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.t()

Return

• retval: integer()

Python prototype (for reference only):

getNumOfAngleLine() -> retval

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

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

getSigma

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.t()

Return

• retval: double

Python prototype (for reference only):

getSigma() -> retval

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

Reads algorithm parameters from a file storage

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.t()
• func: Evision.FileNode

Python prototype (for reference only):

read(fn) -> None

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

save

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.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 setNumOfAngleLine(t(), integer()) :: t() | {:error, String.t()}

setNumOfAngleLine

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.t()
• value: integer()

Python prototype (for reference only):

setNumOfAngleLine(value) -> None

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

setSigma

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.t()
• value: double

Python prototype (for reference only):

setSigma(value) -> None

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

Stores algorithm parameters in a file storage

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.t()
• fs: Evision.FileStorage

Python prototype (for reference only):

write(fs) -> None

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

write

Positional Arguments

• self: Evision.ImgHash.RadialVarianceHash.t()
• fs: Evision.FileStorage
• name: String

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None