PoseEstimate

class lib.align.pose.PoseEstimate(landmarks: ndarray, landmarks_type: LandmarkType)

Bases: object

Estimates pose from a generic 3D head model for the given 2D face landmarks.

Parameters:

landmarks (np.ndarray) – The original 68 point landmarks aligned to 0.0 - 1.0 range
landmarks_type (LandmarkType) – The type of landmarks that are generating this face

References

Attributes Summary

`offset`	The amount to offset a standard 0.0 - 1.0 Umeyama transformation matrix from the center of the face (between the eyes) or center of the head (middle of skull) rather than the nose area.
`pitch`	The pitch of the aligned face in Eular angles
`roll`	The roll of the aligned face in Eular angles
`xyz_2d`	projected (x, y) coordinates for each x, y, z point at a constant distance from adjusted center of the skull (0.5, 0.5) in the 2D space.
`yaw`	The yaw of the aligned face in Eular angles

Attributes Documentation

offset: The amount to offset a standard 0.0 - 1.0 Umeyama transformation matrix from the center of the face (between the eyes) or center of the head (middle of skull) rather than the nose area.

xyz_2d: projected (x, y) coordinates for each x, y, z point at a constant distance from adjusted center of the skull (0.5, 0.5) in the 2D space.

property offset: dict[CenteringType, np.ndarray]: The amount to offset a standard 0.0 - 1.0 Umeyama transformation matrix from the center of the face (between the eyes) or center of the head (middle of skull) rather than the nose area.

property xyz_2d: ndarray: projected (x, y) coordinates for each x, y, z point at a constant distance from adjusted center of the skull (0.5, 0.5) in the 2D space.