每个人一个文件夹,每个文件夹里面有3张人脸照片
import cv2
import numpy as np
from cv2 import face
import os
import pymysql
def face_xunlian():
#提取字典中的key值并转化为列表
keyvalues = list(map(int,result.keys()))
#样本图像列表
photos =list()
#标签列表
lables =list()
#定位文件夹
wenjianjia = os.listdir("D:/python/opencv/shuju")
print(wenjianjia)
num=1
#遍历文件夹
for ids in wenjianjia:
#定位文件夹中的图片
tupin_id=os.listdir("D:/python/opencv/shuju/"+ids)
#遍历文件夹中的图片
for tupin_local in tupin_id:
photos.append(cv2.imread("D:/python/opencv/shuju/"+ids+"/"+tupin_local,0))
print(ids)
print("D:/python/opencv/shuju/"+ids+"/"+tupin_local)
print(cv2.imread("D:/python/opencv/shuju/"+ids+"/"+tupin_local,0))
if num<len(ids)+1:
for kk in keyvalues:
num+1
s=kk,kk,kk
for numnber in s:
print(numnber)
lables.append(numnber)
num+=1
#加载识别器(LBPH)
recognizer=cv2.face.LBPHFaceRecognizer_create()
#识别器训练
recognizer.train(photos,np.array(lables))
#训练结果录入
recognizer.write('./trainer_face.yml')
face_xunlian()