OpenCV8 face_recognition 实现简单的人脸识别对比(树莓派平台)

1 face_recognition 及其他几个重要包的安装

我是在树莓派下安装的

$ sudo apt-get install build-essential cmake
$ sudo apt-get install libgtk-3-dev
$ sudo apt-get install libboost-all-dev

$ pip3 install numpy
$ pip3 install scipy
$ pip3 install opencv-python
$ pip3 install dlib
$ pip3 install cmake

$ pip3 install face_recognition

代码

import sys
import face_recognition as f #人脸识别库
import cv2                   #opencv库

#读取图片
face_image = f.load_image_file("a.jpg")

#返回这张图片的128位人脸编码
face_encodings = f.face_encodings(face_image)
face_locations = f.face_locations(face_image)

n = len(face_encodings)
print(n) #打印出来的是人脸的个数

if n > 2:  #如果识别出来图片内的人脸数>2
    print('too many face')
    sys.exit()
try:   #如果恰好两张脸，就把这两张脸赋给face1 face2
    face1 = face_encodings[0]
    face2 = face_encodings[1]
except:
    print("plesae input a face")
    sys.exit()
    
# 用库中的函数来比较人脸，返回值是布尔值
results = f.compare_faces([face1],face2,tolerance = 0.4)
#tolerance 代表比较的精度越小越严格
if results == [True]:
    print("True")
    temp = "match"
else:
    print("False")
    temp = "Mismatch"

#对原图片进行绘制
for i in range(len(face_encodings)):
    face_encoding = face_encodings[(i-1)] #遍历时逆序的选择列表中的两张脸
    face_location = face_locations[(i-1)] 
    print(face_location)   #face_location的返回值是脸的位置值
    top,right,bottom,left = face_location
    #  绘制矩形               从 左上角 到  右下角         颜色   粗细
    cv2.rectangle(face_image,(left,top),(right,bottom),(0,255,0),2)
    # 写入文字             文字内容  文字位置            字体             字体大小 颜色    粗细     
    cv2.putText(face_image,temp,(left-10,top-10),cv2.FONT_HERSHEY_SIMPLEX,0.8,(255,0,0),2)
#将画好的图像 以RGB的形式打开 并保存
face_image_rgb = cv2.cvtColor(face_image,cv2.COLOR_BGR2RGB)
cv2.imshow("view",face_image_rgb)
cv2.imwrite("/home/pi/Desktop/ 2.jpg",face_image_rgb,[int(cv2.IMWRITE_JPEG_QUALITY),100])
cv2.waitKey(0)