FileAlignments

class lib.align.objects.FileAlignments(x: int, y: int, w: int, h: int, landmarks_xy: ~numpy.ndarray[tuple[~typing.Any, ...], ~numpy.dtype[~numpy.float32]], mask: dict[str, ~lib.align.objects.MaskAlignmentsFile] = <factory>, identity: dict[str, ~numpy.ndarray[tuple[~typing.Any, ...], ~numpy.dtype[~numpy.float32]]] = <factory>, thumb: ~numpy.ndarray[tuple[~typing.Any, ...], ~numpy.dtype[~numpy.uint8]] | None = None)

Bases: PNGAlignments

Dataclass that holds the same information as PNGAlignments as well as a thumbnail for a single face

Attributes Summary

thumb

96px JPEG thumbnail of the aligned face image stored as a list

Methods Summary

from_dict(data_dict)	Load the contents from a serialized python dict into this dataclass
to_dict()	Obtain the contents of the dataclass object as a python dictionary

Attributes Documentation

Parameters:

• x (int)

• y (int)

• w (int)

• h (int)

• landmarks_xy (ndarray[tuple[Any, ...], dtype[float32]])

• mask (dict[str, MaskAlignmentsFile])

• identity (dict[str, ndarray[tuple[Any, ...], dtype[float32]]])

• thumb (ndarray[tuple[Any, ...], dtype[uint8]] | None)

thumb: ndarray[tuple[Any, ...], dtype[uint8]] | None = None

96px JPEG thumbnail of the aligned face image stored as a list

Methods Documentation

classmethod from_dict(data_dict: dict[str, Any]) → Self

Load the contents from a serialized python dict into this dataclass

Parameters:

data_dict (dict[str, Any]) – The data to load into the dataclass

Return type:

Self

to_dict() → dict[str, Any]

Obtain the contents of the dataclass object as a python dictionary

Return type:

The dataclass object as a python dictionary, with numpy arrays converted to lists

thumb: ndarray[tuple[Any, ...], dtype[uint8]] | None = None

96px JPEG thumbnail of the aligned face image stored as a list