BrodenLabel

class hybrid_learning.datasets.custom.broden.BrodenLabel(name, number, category)

Bases: tuple

Information needed to load the annotation of a Broden label.

Public Data Attributes:

name	The (unique) name of the label in the annotations.
number	The label ID.
category	The category from which to select samples for the label

Public Methods:

Inherited from : py: class:tuple

index(value[, start, stop])	Return first index of value.
count(value, /)	Return number of occurrences of value.

Special Methods:

__repr__()	Return a nicely formatted representation string
__getnewargs__()	Return self as a plain tuple.

Inherited from : py: class:tuple

__repr__()	Return a nicely formatted representation string
__hash__()	Return hash(self).
__getattribute__(name, /)	Return getattr(self, name).
__lt__(value, /)	Return self<value.
__le__(value, /)	Return self<=value.
__eq__(value, /)	Return self==value.
__ne__(value, /)	Return self!=value.
__gt__(value, /)	Return self>value.
__ge__(value, /)	Return self>=value.
__iter__()	Implement iter(self).
__len__()	Return len(self).
__getitem__(key, /)	Return self[key].
__add__(value, /)	Return self+value.
__mul__(value, /)	Return self*value.
__rmul__(value, /)	Return value*self.
__contains__(key, /)	Return key in self.
__new__(_cls, name, number, category)	Create new instance of BrodenLabel(name, number, category)
__getnewargs__()	Return self as a plain tuple.

---

Parameters

• name (str) –

• number (int) –

• category (str) –

__getnewargs__()

Return self as a plain tuple. Used by copy and pickle.

__repr__()

Return a nicely formatted representation string

__slots__ = ()

category: str

The category from which to select samples for the label

name: str

The (unique) name of the label in the annotations.

number: int

The label ID.