如何使用opencv python获得最佳特征脸

import cv2
import numpy as np

dataset = cv2.imread("dataset.jpg", 0)
labels = np.array([0, 1, 1, 2, 2])  # 标签对应每个图像的身份

face_recognizer = cv2.face.LBPHFaceRecognizer_create()

face_recognizer.train(dataset, labels)

test_image = cv2.imread("test_image.jpg", 0)

face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
faces = face_cascade.detectMultiScale(test_image, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))

for (x, y, w, h) in faces:
    roi = test_image[y:y+h, x:x+w]
    label, confidence = face_recognizer.predict(roi)
    cv2.rectangle(test_image, (x, y), (x+w, y+h), (0, 255, 0), 2)
    cv2.putText(test_image, "Label: {}".format(label), (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)

cv2.imshow("Test Image", test_image)
cv2.waitKey(0)
cv2.destroyAllWindows()