PNGSource

class lib.align.objects.PNGSource(alignments_version: float, original_filename: str, face_index: int, source_filename: str, source_is_video: bool, source_frame_dims: tuple[int, int])

Bases: DataclassDict

Dataclass for storing additional meta information in PNG headers.

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

Methods Documentation

Parameters:

• alignments_version (float)

• original_filename (str)

• face_index (int)

• source_filename (str)

• source_is_video (bool)

• source_frame_dims (tuple[int, int])

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

alignments_version: float = <dataclasses._MISSING_TYPE object>

The alignments file version that created the alignments data

face_index: int = <dataclasses._MISSING_TYPE object>

The index of this face within the frame

original_filename: str = <dataclasses._MISSING_TYPE object>

The original filename that this face was saved with

source_filename: str = <dataclasses._MISSING_TYPE object>

The filename of the original frame the face was extracted from

source_frame_dims: tuple[int, int] = <dataclasses._MISSING_TYPE object>

The (Height, Width) dimensions of the original frame the face was extracted from

source_is_video: bool = <dataclasses._MISSING_TYPE object>

True if the face was extracted from a video. False if from an image