NameError: name 'cnnLayer' is not defined

用python实现基于神经网络的人脸识别，基于神经网络的人脸识别(Tensorflow,opencv,dlib,cnn,)

运行以下代码时提示错误

output = cnnLayer()#abc
predict = tf.argmax(output, 1)

saver = tf.train.Saver()
sess = tf.Session()
saver.restore(sess, tf.train.latest_checkpoint('.'))


def is_my_face(image):
    res = sess.run(predict, feed_dict={x: [image / 255.0], keep_prob_5: 1.0, keep_prob_75: 1.0})
    if res[0] == 1:
        return True
    else:
        return False
    # 使用dlib自带的frontal_face_detector作为我们的特征提取器


detector = dlib.get_frontal_face_detector()

cam = cv2.VideoCapture(0)

while True:
    _, img = cam.read()
    gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    dets = detector(gray_image, 1)
    if not len(dets):
        # print('Can`t get face.')
        cv2.imshow('img', img)
        key = cv2.waitKey(30) & 0xff
        if key == 27:
            sys.exit(0)

    for i, d in enumerate(dets):
        x1 = d.top() if d.top() > 0 else 0
        y1 = d.bottom() if d.bottom() > 0 else 0
        x2 = d.left() if d.left() > 0 else 0
        y2 = d.right() if d.right() > 0 else 0
        face = img[x1:y1, x2:y2]
        # 调整图片的尺寸
        face = cv2.resize(face, (size, size))
        print('Is this my face? %s' % is_my_face(face))

        cv2.rectangle(img, (x2, x1), (y2, y1), (255, 0, 0), 3)
        cv2.imshow('image', img)
        key = cv2.waitKey(30) & 0xff
        if key == 27:
            sys.exit(0)

sess.close()

错误：NameError: name 'cnnLayer' is not defined

没有定义“cnnlayer”，也就是没有定义神经网路