我有一个应用程序,我尝试检测人脸并打印嗨!当检测到脸部时。我的问题是,即使面孔(人)从可见区域移开,消息也不会改变。在这种情况下,我想打印“找不到面孔”。
在未检测到人脸的情况下如何采取行动,无论是打印声音还是以声音形式发出其他通知。
我到目前为止编写的代码:
import cv2
cascPath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
cap = cv2.VideoCapture(0)
while 1:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(gray, 1.3, 5)
if len(faces) == 0:
print
"No faces found"
for (x,y,w,h) in faces:
re = cv2.rectangle(img,(x,y),(x+w,y+h),(200,200,0),2)
if 're' in locals():
print('Hi')
else:
print('No faces found')
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
cv2.imshow('Hi',img)
# Wait for Esc key to stop
k = cv2.waitKey(30)
if k == 13:
break
cap.release()
cv2.destroyAllWindows()
答案 0 :(得分:1)
我建议检查this example以了解应如何检测面部,您的条件if 're' in locals():
检查变量locals()
中是否存在变量,但是您在此处创建了变量,而是想检查面部,然后可能将它们放在正方形中并向他们问好,一旦您进入for
循环,那里就会有面部检测。
满足您需求的简约代码:
import cv2
cascPath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
cap = cv2.VideoCapture(0)
while 1:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(gray, 1.3, 5)
title = "Hi!"
if len(faces) == 0:
title = "No faces found!"
#or do something else here if no faces were found...
for (x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(200,200,0),2)
cv2.putText(frame,'Hi!',(x + sx,y + sy), 1, 1, (0, 255, 0), 1)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
cv2.imshow(title,img)
# Wait for Esc key to stop
k = cv2.waitKey(30)
if k == 13:
break
cap.release()
cv2.destroyAllWindows()
答案 1 :(得分:1)
这是一个非常简单的错误
print
"No faces found"
是导致错误的原因,请尝试将其更改为
print("No faces found")
您正在做的是调用打印函数,只是定义一个字符串而不使用它。
要播放声音,您可以GitHub repository with working Rocket v0.4 microservice using Elasticsearch。