python-opencv 識別圖片中的人臉

# coding:utf-8
import sys

reload(sys)
sys.setdefaultencoding('utf8')

import cv2
# 待檢測的圖片路徑
imagepath = "./images/1.jpg"

# 獲取訓練好的人臉的參數數據，這里直接從GitHub上使用默認值
face_cascade = cv2.CascadeClassifier(r'/usr/local/Cellar/opencv/3.3.1_1/share/OpenCV/haarcascades/haarcascade_frontalface_default.xml')

# 讀取圖片
image = cv2.imread(imagepath)
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)

# 探測圖片中的人臉
faces = face_cascade.detectMultiScale(
    gray,
    scaleFactor = 1.15,
    minNeighbors = 5,
    minSize = (5,5),
    flags = cv2.CASCADE_SCALE_IMAGE
)

print "發現{0}個人臉!".format(len(faces))

for(x,y,w,h) in faces:
    # cv2.rectangle(image,(x,y),(x+w,y+w),(0,255,0),2)
    cv2.circle(image,((x+x+w)/2,(y+y+h)/2),w/2,(0,255,0),2)

cv2.imshow("Find Faces!",image)