Tengo probem con este código, ¿por qué?

el código :

 import cv2 import numpy as np from PIL import Image import os import numpy as np import cv2 import os import h5py import dlib from imutils import face_utils from keras.models import load_model import sys from keras.models import Sequential from keras.layers import Conv2D, MaxPooling2D,Dropout from keras.layers import Dense, Activation, Flatten from keras.utils import to_categorical from keras import backend as K from sklearn.model_selection import train_test_split from Model import model from keras import callbacks # Path for face image database path = 'dataset' recognizer = cv2.face.LBPHFaceRecognizer_create() detector = cv2.CascadeClassifier("haarcascade_frontalface_default.xml"); def downsample_image(img): img = Image.fromarray(img.astype('uint8'), 'L') img = img.resize((32,32), Image.ANTIALIAS) return np.array(img) # function to get the images and label data def getImagesAndLabels(path): path = 'dataset' imagePaths = [os.path.join(path,f) for f in os.listdir(path)] faceSamples=[] ids = [] for imagePath in imagePaths: #if there is an error saving any jpegs try: PIL_img = Image.open(imagePath).convert('L') # convert it to grayscale except: continue img_numpy = np.array(PIL_img,'uint8') id = int(os.path.split(imagePath)[-1].split(".")[1]) faceSamples.append(img_numpy) ids.append(id) return faceSamples,ids print ("\n [INFO] Training faces now.") faces,ids = getImagesAndLabels(path) K.clear_session() n_faces = len(set(ids)) model = model((32,32,1),n_faces) faces = np.asarray(faces) faces = np.array([downsample_image(ab) for ab in faces]) ids = np.asarray(ids) faces = faces[:,:,:,np.newaxis] print("Shape of Data: " + str(faces.shape)) print("Number of unique faces : " + str(n_faces)) ids = to_categorical(ids) faces = faces.astype('float32') faces /= 255. x_train, x_test, y_train, y_test = train_test_split(faces,ids, test_size = 0.2, random_state = 0) checkpoint = callbacks.ModelCheckpoint('trained_model.h5', monitor='val_acc', save_best_only=True, save_weights_only=True, verbose=1) model.fit(x_train, y_train, batch_size=32, epochs=10, validation_data=(x_test, y_test), shuffle=True,callbacks=[checkpoint]) # Print the numer of faces trained and end program print("enter code here`\n [INFO] " + str(n_faces) + " faces trained. Exiting Program")

 the output: ------------------ File "D:\my hard sam\ماجستير\سنة ثانية\البحث\python\Real-Time-Face-Recognition-Using-CNN-master\Real-Time-Face-Recognition-Using-CNN-master\02_face_training.py", line 16, in <module> from keras.utils import to_categorical ImportError: cannot import name 'to_categorical' from 'keras.utils' (C:\Users\omar\PycharmProjects\SnakGame\venv\lib\site-packages\keras\utils\__init__.py)