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

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

Clears the algorithm state

Positional Arguments

• self: Evision.Face.MACE.t()

Python prototype (for reference only):

clear() -> None

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

constructor

Keyword Arguments

• iMGSIZE: integer().

  images will get resized to this (should be an even number)

Return

• retval: cv::Ptr<MACE>

Python prototype (for reference only):

create([, IMGSIZE]) -> retval

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

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

constructor

Keyword Arguments

• iMGSIZE: integer().

  images will get resized to this (should be an even number)

Return

• retval: cv::Ptr<MACE>

Python prototype (for reference only):

create([, IMGSIZE]) -> 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.Face.MACE.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.Face.MACE.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 load(Keyword.t()) :: any() | {:error, String.t()}

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

constructor

Positional Arguments

• filename: String.

  build a new MACE instance from a pre-serialized FileStorage

Keyword Arguments

• objname: String.

  (optional) top-level node in the FileStorage

Return

• retval: cv::Ptr<MACE>

Python prototype (for reference only):

load(filename[, objname]) -> retval

@spec load(binary(), [{:objname, term()}] | nil) :: t() | {:error, String.t()}

constructor

Positional Arguments

• filename: String.

  build a new MACE instance from a pre-serialized FileStorage

Keyword Arguments

• objname: String.

  (optional) top-level node in the FileStorage

Return

• retval: cv::Ptr<MACE>

Python prototype (for reference only):

load(filename[, objname]) -> retval

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

Reads algorithm parameters from a file storage

Positional Arguments

• self: Evision.Face.MACE.t()
• func: Evision.FileNode

Python prototype (for reference only):

read(fn) -> None

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

optionally encrypt images with random convolution

Positional Arguments

• self: Evision.Face.MACE.t()

• passphrase: String.

  a crc64 random seed will get generated from this

Python prototype (for reference only):

salt(passphrase) -> None

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

correlate query img and threshold to min class value

Positional Arguments

• self: Evision.Face.MACE.t()

• query: Evision.Mat.

  a Mat with query image

Return

• retval: bool

Python prototype (for reference only):

same(query) -> retval

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

save

Positional Arguments

• self: Evision.Face.MACE.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 train(t(), [Evision.Mat.maybe_mat_in()]) :: t() | {:error, String.t()}

train it on positive features compute the mace filter: h = D(-1) * X * (X(+) * D(-1) * X)(-1) * C also calculate a minimal threshold for this class, the smallest self-similarity from the train images

Positional Arguments

• self: Evision.Face.MACE.t()

• images: [Evision.Mat].

  a vector<Mat> with the train images

Python prototype (for reference only):

train(images) -> None

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

Stores algorithm parameters in a file storage

Positional Arguments

• self: Evision.Face.MACE.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.Face.MACE.t()
• fs: Evision.FileStorage
• name: String

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None