code: def extract_raw_pixels(img):
      resized = cv2.resize(img, target_img_size)
      return resized.flatten()
  
file_path: Mozart/src/train.py
imports: import cv2
  import random
  import imutils
  from glob import glob
  from sklearn.model_selection import train_test_split
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.neural_network import MLPClassifier
  from sklearn import svm
  import numpy
  import matplotlib.pyplot
  import pickle
label_desc: Use image node_id 1 for calling a global function with example usage: extract_raw_pixels(img) and returns: resized