code: def detect_face(
      face_detector: Any, img: np.ndarray, align: bool = True
  ) -> list:
      """
      Detect and align face with mediapipe
      Args:
          face_detector (Any): mediapipe face detector object
          img (np.ndarray): pre-loaded image
          align (bool): default is true
      Returns:
          list of detected and aligned faces
      """
      resp = []
  
      img_width = img.shape[1]
      img_height = img.shape[0]
  
      results = face_detector.process(img)
  
      # If no face has been detected, return an empty list
      if results.detections is None:
          return resp
  
      # Extract the bounding box, the landmarks and the confidence score
      for detection in results.detections:
          (confidence,) = detection.score
  
          bounding_box = detection.location_data.relative_bounding_box
          landmarks = detection.location_data.relative_keypoints
  
          x = int(bounding_box.xmin * img_width)
          w = int(bounding_box.width * img_width)
          y = int(bounding_box.ymin * img_height)
          h = int(bounding_box.height * img_height)
  
          # Extract landmarks
          left_eye = (
              int(landmarks[0].x * img_width),
              int(landmarks[0].y * img_height),
          )
          right_eye = (
              int(landmarks[1].x * img_width),
              int(landmarks[1].y * img_height),
          )
          # nose = (int(landmarks[2].x * img_width), int(landmarks[2].y * img_height))
          # mouth = (int(landmarks[3].x * img_width), int(landmarks[3].y * img_height))
          # right_ear = (int(landmarks[4].x * img_width), int(landmarks[4].y * img_height))
          # left_ear = (int(landmarks[5].x * img_width), int(landmarks[5].y * img_height))
  
          if x > 0 and y > 0:
              detected_face = img[y : y + h, x : x + w]
              img_region = [x, y, w, h]
  
              if align:
                  detected_face = FaceDetector.alignment_procedure(
                      detected_face, left_eye, right_eye
                  )
  
              resp.append((detected_face, img_region, confidence))
  
      return resp
  
imports: from typing import Any
  import numpy
  from deepface.detectors import FaceDetector
label_desc: Use image node_id 2 for calling a global function with example usage: detect_face(face_detector, img, align) and returns: resp, resp