code: import pandas as pd
  import cv2
  import numpy as np
  
  
  dataset_path = 'fer2013/fer2013/fer2013.csv'
  image_size=(48,48)
  
  def load_fer2013():
          data = pd.read_csv(dataset_path)
          pixels = data['pixels'].tolist()
          width, height = 48, 48
          faces = []
          for pixel_sequence in pixels:
              face = [int(pixel) for pixel in pixel_sequence.split(' ')]
              face = np.asarray(face).reshape(width, height)
              face = cv2.resize(face.astype('uint8'),image_size)
              faces.append(face.astype('float32'))
          faces = np.asarray(faces)
          faces = np.expand_dims(faces, -1)
          emotions = pd.get_dummies(data['emotion']).as_matrix()
          return faces, emotions
  
  def preprocess_input(x, v2=True):
      x = x.astype('float32')
      x = x / 255.0
      if v2:
          x = x - 0.5
          x = x * 2.0
      return x
apis: pandas.read_csv numpy.expand_dims numpy.asarray pandas.get_dummies