人脸识别_for facerect in faces

工具：Python 3.6

          OpenCV 3.3.0

代码：

import cv2
cv2.namedWindow("Face")#打开一个窗口
cap=cv2.VideoCapture(0)#打开一个默认摄像头
success= cap.read()#读取图像
color = (60,20,255)#颜色
faceCas=cv2.CascadeClassifier("haarcascade_frontalface_alt.xml")
count=0#计时器
while success:
 success, frame = cap.read()
 faceRects = faceCas.detectMultiScale(frame, 1.2, 2)
 for faceRect in faceRects:
       x, y, w, h = faceRect
       print("位置：",x,y)
       print("宽高：",w,h)
       image = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)  # 转换为灰度
       cv2.rectangle(frame, (x, y), (x + w, y + h), color)#画矩形
       f = cv2.resize(image[y:y + h, x:x + w], (200, 200))# 从灰度图中，扣出脸部，设置固定大小像素
       cv2.imwrite('E://Desktop//Face//'+str(count)+".jpg",f)#存储图片
       count+=1
 cv2.imshow("Face", frame)
 key = cv2.waitKey(1)
 c = chr(key & 0xff)
 if c in ['q', 'Q', chr(27)]:
     break
cv2.destroyWindow("Face")