View Source Evision.TrackerVit (Evision v0.2.17-rc2)

Summary

Types

t()

Type that represents an TrackerVit struct.

Functions

create()

Constructor

create(named_args)

Variant 1:

Constructor

create(model, opts)

Constructor

getTrackingScore(named_args)

Return tracking score

Types

t()

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

Type that represents an TrackerVit struct.

ref. reference()
The underlying erlang resource variable.

Functions

create()

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

Constructor

Keyword Arguments

parameters: Evision.TrackerVit.Params.
vit tracker parameters TrackerVit::Params

Return

retval: Evision.TrackerVit.t()

Python prototype (for reference only):

create([, parameters]) -> retval

create(named_args)

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

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

@spec create(Evision.DNN.Net.t()) :: Evision.TrackerVit | {:error, String.t()}

Variant 1:

Constructor

Positional Arguments

model: Evision.DNN.Net.t().
pre-loaded DNN model

Keyword Arguments

meanvalue: Evision.scalar().
mean value for image preprocessing
stdvalue: Evision.scalar().
std value for image preprocessing
tracking_score_threshold: float.
threshold for tracking score

Return

retval: Evision.TrackerVit.t()

Python prototype (for reference only):

create(model[, meanvalue[, stdvalue[, tracking_score_threshold]]]) -> retval

Variant 2:

Constructor

Keyword Arguments

parameters: Evision.TrackerVit.Params.
vit tracker parameters TrackerVit::Params

Return

retval: Evision.TrackerVit.t()

Python prototype (for reference only):

create([, parameters]) -> retval

create(model, opts)

@spec create(
  Evision.DNN.Net.t(),
  [meanvalue: term(), stdvalue: term(), tracking_score_threshold: term()] | nil
) :: Evision.TrackerVit | {:error, String.t()}

Constructor

Positional Arguments

model: Evision.DNN.Net.t().
pre-loaded DNN model

Keyword Arguments

meanvalue: Evision.scalar().
mean value for image preprocessing
stdvalue: Evision.scalar().
std value for image preprocessing
tracking_score_threshold: float.
threshold for tracking score

Return

retval: Evision.TrackerVit.t()

Python prototype (for reference only):

create(model[, meanvalue[, stdvalue[, tracking_score_threshold]]]) -> retval

getTrackingScore(named_args)

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

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

Return tracking score

Positional Arguments

self: Evision.TrackerVit.t()

Return

retval: float

Python prototype (for reference only):

getTrackingScore() -> retval