注意这里提取到的人脸图片的保存地址要改成自己要保存的地址
opencv人脸的检测模型的路径也要更改为自己安装的opencv的人脸检测模型的路径
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import cv2
save_path = 'F:\\face_photo_save\\chenym\\'
cascade = cv2.CascadeClassifier("D:\\opencv249\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt_tree.xml")
cap = cv2.VideoCapture(0)
i = 0
while True:
ret,frame = cap.read()
gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
rect = cascade.detectMultiScale(gray,scaleFactor=1.3,minNeighbors=9,minSize=(50,50),flags = cv2.cv.CV_HAAR_SCALE_IMAGE)
print "rect",rect
if not rect is ():
for x,y,z,w in rect:
roiImg = frame[y:y+w,x:x+z]
cv2.imwrite(save_path+str(i)+'.jpg',roiImg)
cv2.rectangle(frame,(x,y),(x+z,y+w),(0,0,255),2)
i +=1
cv2.imshow('frame',frame)
if cv2.waitKey(1) &0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
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以上这篇python opencv人脸检测提取及保存方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/m0_38128647/article/details/70792971