View Source Evision.Legacy.MultiTracker (Evision v0.2.11)

Summary

Types

t()

Type that represents an Legacy.MultiTracker struct.

Functions

add(named_args)

add(self, newTracker, image, boundingBox)

add

clear(named_args)

Clears the algorithm state

create()

create

create(named_args)

empty(named_args)

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

getDefaultName(named_args)

getDefaultName

getObjects(named_args)

getObjects

multiTracker()

MultiTracker

multiTracker(named_args)

read(named_args)

read(self, func)

Reads algorithm parameters from a file storage

save(named_args)

save(self, filename)

save

update(named_args)

update(self, image)

update

write(named_args)

write(self, fs)

Stores algorithm parameters in a file storage

write(self, fs, name)

write

Types

t()

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

Type that represents an Legacy.MultiTracker struct.

ref. reference()
The underlying erlang resource variable.

Functions

add(named_args)

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

add(self, newTracker, image, boundingBox)

@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

clear(named_args)

@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

create()

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

create

Return

retval: MultiTracker

\brief Returns a pointer to a new instance of MultiTracker

Python prototype (for reference only):

create() -> retval

create(named_args)

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

empty(named_args)

@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

getDefaultName(named_args)

@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

getObjects(named_args)

@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

multiTracker()

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

MultiTracker

Return

self: MultiTracker

\brief Constructor.

Python prototype (for reference only):

MultiTracker() -> <legacy_MultiTracker object>

multiTracker(named_args)

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

read(named_args)

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

read(self, func)

@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

save(named_args)

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

save(self, filename)

@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

update(named_args)

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

update(self, image)

@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

write(named_args)

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

write(self, fs)

@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

write(self, fs, name)

@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