def take_photo(path):
capture = cv2.VideoCapture(0)
# 加载人脸特径数据
face_detector = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
filename =1
flag_write = False
while True:
flag,frame = capture.read()
if not flag:
break
gray = cv2.cvtColor(frame, code=cv2.COLOR_BGR2GRAY)
faces = face_detector.detectMultiScale(gray, minNeighbors=5)
for x,y,w,h in faces:
if flag_write:
face=gray[y:y+h,x:x+w]
face = cv2.resize(face,dsize=(64,64))
cv2.imwrite('./faces_dymamic/%s/%d.jpg'%(path,filename),face)
filename +=1
cv2.rectangle(frame,pt1=(x,y),pt2=(x+w,y+h),color=[0,255,0],thickness=2)
if filename >10:
break
cv2.imshow('face',frame)
key = cv2.waitKey(1000 // 24)
if key == ord('q'):
break
if key == ord('w'):
flag_write = True
cv2.destroyAllWindows()
capture.release()
if __name__ == '__main__':
# #1、动态采集人脸
take_faces()
