这是用于检测面部的代码。
我希望每当识别到脸部时,脸部图像上会显示一个矩形,这很好,但是每当脸部无法识别时,脸部图像上不会显示矩形,并且会打印一些信息。
import cv2
face_cascade = cv2.CascadeClassifier('C:/Users/320052863/PycharmProjects/trial/venv/Lib/site-packages/cv2/data/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('C:/Users/320052863/PycharmProjects/trial/venv/Lib/site-packages/cv2/data/haarcascade_eye.xml')
cap = cv2.VideoCapture(0)
while 1:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
re = cv2.rectangle(img,(x,y),(x+w,y+h),(255,255,0),2)
if 're' in locals():
print('abhishek')
else:
print('gupta')
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
cv2.imshow('Abhishek',img)
# Wait for Esc key to stop
k = cv2.waitKey(30)
if k == 13:
break
cap.release()
cv2.destroyAllWindows()
看来,如果在您的脚本中,在您的行之后:
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
如果没有检测到面,则会插入以下行:
if len(faces) == 0:
print "No faces found"