code: def landmark_pred(boxes, landmark_deltas):
      if boxes.shape[0] == 0:
          return np.zeros((0, landmark_deltas.shape[1]))
      boxes = boxes.astype(np.float, copy=False)
      widths = boxes[:, 2] - boxes[:, 0] + 1.0
      heights = boxes[:, 3] - boxes[:, 1] + 1.0
      ctr_x = boxes[:, 0] + 0.5 * (widths - 1.0)
      ctr_y = boxes[:, 1] + 0.5 * (heights - 1.0)
      pred = landmark_deltas.copy()
      for i in range(5):
          pred[:, i, 0] = landmark_deltas[:, i, 0] * widths + ctr_x
          pred[:, i, 1] = landmark_deltas[:, i, 1] * heights + ctr_y
      return pred
  
imports: from __future__ import print_function
  import sys
  import os
  import datetime
  import time
  import numpy
  import mxnet
  from mxnet import ndarray
  import cv2
  from rcnn.logger import logger
  from rcnn.processing.bbox_transform import clip_boxes
  from rcnn.processing.generate_anchor import generate_anchors_fpn, anchors_plane
  from rcnn.processing.nms import gpu_nms_wrapper, cpu_nms_wrapper
  from rcnn.processing.bbox_transform import bbox_overlaps
label_desc: Use image node_id 10 for calling the RetinaFace obj's underlying member method code with example usage: obj.landmark_pred(boxes, landmark_deltas) and returns: pred, np