今日总结-opencv实现人脸对比

#导入cv模块
import cv2 as cv
import os
import numpy as np
#加载训练数据集文件
recognizer=cv.face.LBPHFaceRecognizer_create()
recognizer.read('trainer/trainer1.yml')
#准备识别的照片
img=cv.imread('20.jpg')
gray=cv.cvtColor(img, cv.COLOR_BGR2GRAY)
face_detect=cv.CascadeClassifier('D:/opencv/opencv-4.7.0-windows/opencv/sources/data/haarcascades_cuda/haarcascade_frontalface_alt2.xml')
face=face_detect.detectMultiScale(gray)
for x,y,w,h in face:
  cv.rectangle(img,(x,y),(x+w,y+h),color=(0,0,255),thickness=2)
  #人脸识别
  id,confidence=recognizer.predict(gray[y:y+h,x:x+w])
  print('标签id：',id,'置信评分',confidence)
cv.imshow('result',img)
#等待
while True:
    if ord('q')==cv.waitKey(0):
       break
#释放内存
cv.destoryAllWindows()