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() |
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