code: def get(self, img):
      img_flip = np.fliplr(img)
      img = np.transpose(img, (2, 0, 1))  # 1*112*112
      img_flip = np.transpose(img_flip, (2, 0, 1))
      input_blob = np.zeros(
          (2, 1, self.image_size[1], self.image_size[0]), dtype=np.uint8
      )
      input_blob[0] = img
      input_blob[1] = img_flip
      return input_blob
  
file_path: insightface/recognition/idmmd/evaluate/eval_buaa_112.py
imports: import numpy
  import os, sys
  import argparse
  import torch
  from PIL import Image
  from network.lightcnn112 import LightCNN_29Layers
  from evaluate import evaluate2
label_desc: Use image node_id 2 for calling the Embedding obj's underlying member method code with example usage: obj.get(img) and returns: input_blob