# import the necessary packages
from .helpers import FACIAL_LANDMARKS_IDXS
from .helpers import shape_to_np
import numpy as np
import cv2

class FaceAligner:
    def __init__(self, predictor, desiredLeftEye=(0.35, 0.35),
        desiredFaceWidth=256, desiredFaceHeight=None):
        # store the facial landmark predictor, desired output left
        # eye position, and desired output face width + height
        self.predictor = predictor
        self.desiredLeftEye = desiredLeftEye
        self.desiredFaceWidth = desiredFaceWidth
        self.desiredFaceHeight = desiredFaceHeight

        # if the desired face height is None, set it to be the
        # desired face width (normal behavior)
        if self.desiredFaceHeight is None:
            self.desiredFaceHeight = self.desiredFaceWidth