Python调用OpenCV对图片人脸进行检测识别

代码如下：

[code]import cv2
import numpy as np
face_cascade=cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
eye_cascade=cv2.CascadeClassifier("haarcascade_eye.xml")
i = cv2.imread('lakers.jpg')
print (i.shape)
gray=cv2.cvtColor(i,cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(
gray,
scaleFactor = 1.1,
minNeighbors = 5,
minSize = (5,5),
)
l=len(faces)
print (l)
for (x,y,w,h) in faces:
cv2.rectangle(i,(x,y),(x+w,y+h),(255,0,0),2)
cv2.putText(i,'face',(w//2+x,y-h//5),cv2.FONT_HERSHEY_PLAIN,2.0,(255,255,255),2,1)
roi_gray = gray[y:y+h, x:x+w]
roi_color = i[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray)
cv2.putText(i,"face count",(20,20),cv2.FONT_HERSHEY_PLAIN,2.0,(255,255,255),2,1)
cv2.putText(i,str(l),(230,20),cv2.FONT_HERSHEY_PLAIN,2.0,(255,255,255),2,1)
#cv2.putText(i,"eyes count",(20,60),cv2.FONT_HERSHEY_PLAIN,2.0,(255,255,255),2,1)
print (i.shape)	#cv2.putText(i,str(r),(230,60),cv2.FONT_HERSHEY_PLAIN,2.0,(255,255,255),2,1)
cv2.imshow("img",i)
cv2.waitKey(0)

其中，人脸训练集haarcascade_frontalface_default.xml和眼睛训练集haarcascade_eye.xml来自github，链接地址如下：https://github.com/opencv/opencv/tree/master/data/haarcascades，请自行下载

运行效果图：