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

add

Positional Arguments

• self: Evision.Legacy.MultiTracker.t()

• newTracker: Evision.Legacy.MultiTracker.

  tracking algorithm to be used

• image: Evision.Mat.

  input image

• boundingBox: Rect2d.

  a rectangle represents ROI of the tracked object

Return

• retval: bool

\brief Add a new object to be tracked.

Python prototype (for reference only):

add(newTracker, image, boundingBox) -> retval

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

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

Clears the algorithm state

Positional Arguments

• self: Evision.Legacy.MultiTracker.t()

Python prototype (for reference only):

clear() -> None

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

create

Return

• retval: Evision.Legacy.MultiTracker.t()

\brief Returns a pointer to a new instance of MultiTracker

Python prototype (for reference only):

create() -> 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.Legacy.MultiTracker.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.Legacy.MultiTracker.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 getObjects(Keyword.t()) :: any() | {:error, String.t()}

@spec getObjects(t()) ::
  [{number(), number(), number(), number()}] | {:error, String.t()}

getObjects

Positional Arguments

• self: Evision.Legacy.MultiTracker.t()

Return

• retval: [Rect2d]

\brief Returns a reference to a storage for the tracked objects, each object corresponds to one tracker algorithm

Python prototype (for reference only):

getObjects() -> retval

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

MultiTracker

Return

• self: MultiTracker

\brief Constructor.

Python prototype (for reference only):

MultiTracker() -> <legacy_MultiTracker object>

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

Reads algorithm parameters from a file storage

Positional Arguments

• self: Evision.Legacy.MultiTracker.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.Legacy.MultiTracker.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 update(t(), Evision.Mat.maybe_mat_in()) ::
  [{number(), number(), number(), number()}] | false | {:error, String.t()}

update

Positional Arguments

• self: Evision.Legacy.MultiTracker.t()

• image: Evision.Mat.

  input image

Return

• retval: bool

• boundingBox: [Rect2d].

  the tracking result, represent a list of ROIs of the tracked objects.

\brief Update the current tracking status.

Python prototype (for reference only):

update(image) -> retval, boundingBox

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

Stores algorithm parameters in a file storage

Positional Arguments

• self: Evision.Legacy.MultiTracker.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.Legacy.MultiTracker.t()
• fs: Evision.FileStorage
• name: String

Has overloading in C++

Python prototype (for reference only):

write(fs, name) -> None