1 import cv2 as cv 2 3 4 def catch_face_video(img): 5 gray=cv.cvtColor(img,cv.COLOR_BGR2GRAY) 6 path_haar='C:/Users/77007/Desktop/python/pythonProject1/opencv/build/etc/haarcascades/' 7 face_haar='haarcascade_frontalface_default.xml' 8 classifier=cv.CascadeClassifier(path_haar+face_haar) 9 faces = classifier.detectMultiScale(gray) 10 for x,y,w,h in faces: 11 cv.rectangle(img,(x,y),(x+w,y+h),color=(0,0,255),thickness=1) 12 cv.imshow('rec·',img) 13 14 15 def catch_video(): 16 capture=cv.VideoCapture(0) 17 # 调用摄像头,只有一个的话默认为0,也可以是视频文件/path 18 while True: 19 flag,frame=capture.read() 20 if not flag: 21 break 22 catch_face_video(frame) 23 if 27==cv.waitKey(10): 24 break 25 # 等待10ms显示图像，若过程中按'Esc'(对应27)退出 26 cv.destroyAllWindows() 27 capture.release() 28 29 30 if __name__ == '__main__': 31 catch_video()