import cv2
import numpy as np


def find_face_bbox(data: np.ndarray, classifier_file='haarcascades/haarcascade_frontalface_default.xml'):
  data_gray = cv2.cvtColor(data, cv2.COLOR_RGB2GRAY)
  face_cascade = cv2.CascadeClassifier(classifier_file)
  face_coords = face_cascade.detectMultiScale(data_gray, 1.1, 3)
  return max(face_coords, key=len)


def crop_face(data: np.ndarray, bounding_box) -> np.ndarray:
  x, y, w, h = bounding_box
  face = data[y:y + h, x:x + w]
  return face