基于LBPH的人脸识别 

 1 import cv2
 2 import numpy as np 
 3 import os
 4 # 加载训练数据集文件
 5 recognizer = cv2.face.LBPHFaceRecognizer_create()
 6 recognizer.read('D:/trainer/trainer.yml')
 7 # 准备识别的图片
 8 img = cv2.imread('D:/trainer_datas/orl_faces/s40/1.pgm')
 9 # 将图片转化为灰度图片
10 gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
11 # 加载特征数据
12 face_detector = cv2.CascadeClassifier('D:/Opencv/opencv/sources/data/haarcascades/haarcascade_frontalface_default.xml')
13 faces = face_detector.detectMultiScale(gray)
14 for x,y,w,h in faces:
15     cv2.rectangle(img,(x,y),(x+w,y+h),color=(0,255,0),thickness=2)
16     # 人脸识别
17     id,confidence = recognizer.predict(gray[y:y+h,x:x+w])
18     print('标签id:',id,'置信评分:',confidence)
19 cv2.imshow('result',img)
20 cv2.waitKey(0)
21 cv2.destroyAllWindows()

 

posted @ 2020-05-21 15:07  小他_W  阅读(1755)  评论(1)  编辑  收藏  举报