def checkface():
i = 0
failcount = 0
picpath = "G:/tiaozhanbei/baiduapi/checktest/test"
#cv2.imshow("capture", frame)
time.sleep(5)
while (1):
print("开始检测！")
#cv2.waitKey(0)
time.sleep(5)
ret, frame = cap.read()
cv2.imwrite(picpath + str(i) + ".jpg", frame)
face_num = facecheck.fa_check((picpath + str(i) + ".jpg"))
if (face_num > 0):
print("检测成功！开始拍照")
time.sleep(2)
ret, frame = cap.read()
cv2.imwrite(picpath + str(i) + ".jpg", frame)
face_num = facecheck.fa_check((picpath + str(i) + ".jpg"))
print("总共有", face_num, "张人脸")
if (face_num > 0):
print("拍照成功！下一个同学！")
time.sleep(5)
i += 1
continue
else:
print("拍照失败，重新检测")
os.remove(picpath + str(i) + ".jpg")
time.sleep(5)
continue
else:
print("检测不到人脸，5秒后重新检测")
os.remove(picpath + str(i) + ".jpg")
time.sleep(5)
failcount += 1 #failcount次检测不到人之后关闭程序
if (failcount == 2):
print("谢谢使用！")
print("开始考勤")
classKQ.Classqiandao()
break
continue
cap.release()
cv2.destroyAllWindows()
def checkface(capc, ui, conn):
#i = 0
global failcount
failcount = 0
picpath = "G:/tiaozhanbei/baiduapi/checktest/test0"
#cv2.imshow("capture", frame)
time.sleep(5)
while (1):
ui.label_11.setText("开始检测！")
#cv2.waitKey(0)
time.sleep(1)
ret, frame = capc.read()
cv2.imwrite(picpath + ".jpg", frame)
face_num = facecheck.fa_check((picpath + ".jpg"))
if (face_num > 0):
ui.label_11.setText("检测成功，开始拍照！")
time.sleep(2)
ret, frame = capc.read()
cv2.imwrite(picpath + ".jpg", frame)
face_num = facecheck.fa_check((picpath + ".jpg"))
print("总共有", face_num, "张人脸")
if (face_num > 0):
ui.label_11.setText("拍照成功，开始核实身份！")
failcount = 0
classKQsearch.Classqiandao(picpath + ".jpg", ui, conn)
print("下一个同学！")
time.sleep(5)
continue
else:
print("拍照失败，重新检测")
os.remove(picpath + ".jpg")
time.sleep(5)
continue
else:
print("检测不到人脸，5秒后重新检测")
os.remove(picpath + ".jpg")
time.sleep(5)
continue
def checkface(capc,ui,conn):
#i = 0
global failcount
failcount = 0
picpath=CONFIG.test_face
#cv2.imshow("capture", frame)
time.sleep(5)
while (1):
ui.label_11.setText("开始检测!")
#cv2.waitKey(0)
time.sleep(1)
ret, frame= capc.read()
# print(frame)
# 将摄像头拍摄的图像进行保存
cv2.imwrite(picpath+".jpg", frame)
face_num = facecheck.fa_check((picpath+".jpg"))
if(face_num>0):
ui.label_11.setText("检测成功,开始拍照!")
time.sleep(2)
ret, frame = capc.read()
cv2.imwrite(picpath + ".jpg", frame)
face_num = facecheck.fa_check((picpath + ".jpg"))
print("总共有",face_num,"张人脸")
if(face_num>0):
ui.label_11.setText("拍照成功,开始核实身份!")
failcount = 0
classKQsearch.Classqiandao(picpath + ".jpg",ui,conn)
print("下一个同学!")
time.sleep(5)
continue
else:
print("拍照失败，重新检测")
os.remove(picpath + ".jpg")
time.sleep(5)
continue
else:
print("检测不到人脸，2秒后重新检测")
# os.remove(picpath + ".jpg")
time.sleep(2)
continue