face alignment with MTCNN

from mtcnn import MTCNN
detector = MTCNN()

data = detector.detect_faces(cv.cvtColor(imq, cv.COLOR_BGR2RGB))

box = data[0]['box']
keypoints = data[0]['keypoints']

# first of all, eyes Y must be within certain % of face height
f_height = int(box[3]  / 0.3 )  # height in px
eye1_y = int(keypoints['left_eye'][1] / 0.3)
eye2_y = int(keypoints['right_eye'][1] / 0.3 )
eyes_y_delta = abs(eye1_y - eye2_y)
eyes_v_delta_percent = int( (eyes_y_delta / f_height) * 100)
# then, eyes X must be centerline-symmetric
eye1_x = int(keypoints['left_eye'][0] / 0.3)
eye2_x = int(keypoints['right_eye'][0] / 0.3 )
centerline_x = int(box[0] / 0.3 ) + int ( int(box[2] / 0.3 ) /2)
eye1_offset = centerline_x - eye1_x
eye2_offset = eye2_x - centerline_x
delta_offset = int(abs(eye1_offset - eye2_offset) / ((eye1_offset + eye2_offset) / 2) * 100)

if eyes_v_delta_percent < 10 and delta_offset < 90:
    # save image