基於LBPH的人臉識別

import cv2
import numpy as np 
import os
# 加載訓練數據集文件
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read('D:/trainer/trainer.yml')
# 准備識別的圖片
img = cv2.imread('D:/trainer_datas/orl_faces/s40/1.pgm')
# 將圖片轉化為灰度圖片
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
# 加載特征數據
face_detector = cv2.CascadeClassifier('D:/Opencv/opencv/sources/data/haarcascades/haarcascade_frontalface_default.xml')
faces = face_detector.detectMultiScale(gray)
for x,y,w,h in faces:
    cv2.rectangle(img,(x,y),(x+w,y+h),color=(0,255,0),thickness=2)
    # 人臉識別
    id,confidence = recognizer.predict(gray[y:y+h,x:x+w])
    print('標簽id:',id,'置信評分:',confidence)
cv2.imshow('result',img)
cv2.waitKey(0)
cv2.destroyAllWindows()