import face_recognition#导入Face_recognition人脸识别库
import time#用于时间处理相关操作
import cv2#导入OpenCV库
timeStart=time.clock()#记录程序运行时间
img=face_recognition.load_image_file("C:/Users/xpp/Desktop/Lena.png")#读取图像
#检测并定位人脸在图像中的坐标
face_locations=face_recognition.face_locations(img)
print("Face Location:",face_locations)#输出人脸位置
time_1=time.clock() #开始时间
timeRec=time_1-timeStart#人脸检测所用时长
print("Time for Detecting Face Location:",timeRec)
#调用OpenCV显示人脸
image=cv2.imread("C:/Users/xpp/Desktop/Lena.png")
cv2.imshow("Original",image)
#遍历人脸，并用矩形框标记出位置
faceNum=len(face_locations)
for i in range(faceNum):
top=face_locations[i][0]
right=face_locations[i][1]
bottom=face_locations[i][2]
left=face_locations[i][3]
start=(left,top)#左上方坐标
end=(right,bottom)#右下方坐标
color=(203,192,255)#方框颜色
thickness=3#线条宽度
cv2.rectangle(image,start,end,color,thickness)#画矩形框
cv2.imshow("result",image)
time_2=time.clock()#结束时间
timeDraw=time_2-time_1#人脸标记所用时长
print("Time for Marking Face:",timeDraw)
cv2.waitKey(0)
cv2.destroyAllWindows()Face Location: [(184, 356, 339, 201)] Time for Detecting Face Location: 0.26858190000000093 Time for Marking Face: 0.10674499999999654
算法：基于Face_recognition的人脸检测与识别是基于Face_recognition库提供的各种功能组合实现多种形式的人脸检测与识别。
链接：https://github.com/ageitgey/face_recognition
http://vis-www.cs.umass.edu/lfw/
