I am trying to make a project to detect face mask using OpenCV, HaarCascade and Pyttsx3. The flow of the project is when mouth is not detected on a face then it should speak "face mask detected" else it should say "please wear face mask". The problem that i am facing is that when it speaks for the first time the frame freezes and the loop ends there. Please help me fix the issue.
import cv2
import pyttsx3
camera=cv2.VideoCapture(0)
face_cascade=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
mouth_cascade=cv2.CascadeClassifier('haarcascade_mcs_mouth.xml')
sum=0
count=0
display=""
color=(0, 0, 255)
#function to use text to speech
def speak(display): #here the issue is it speaks first time and then programs ends
engine = pyttsx3.init()
engine.say(display)
engine.runAndWait()
engine.stop()
while True:
cap, frame = camera.read()
gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces=face_cascade.detectMultiScale(gray,1.3,1)
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(frame, display, (50, 50), font, 1, color, 2, cv2.LINE_4)
#loop to create rectangle around faces and finding the roi to apply mouth detection
for (x,y,w,h) in faces:
cv2.rectangle(frame, (x,y),(x+w,y+h),(255,0,0),5)
roi_gray = gray[y:y + h, x:x + w]
roi_color = frame[y:y + h, x:x + w]
mouth=mouth_cascade.detectMultiScale(roi_gray,1.7,6)
for (mx, my, mw, mh) in mouth:
cv2.rectangle(roi_color, (mx, my), (mx + mw, my + mh), (0, 255, 0), 2)
cv2.imshow("Test",frame)
w=cv2.waitKey(1)
#if mouth is not detected in face then person is wearing face mask
if len(mouth) == 0:
display="Mask Detected"
color=(0, 255, 0)
speak(display)
else:
display="Please Wear Face Mask"
color = (0, 0, 255)
speak(display)
if w==ord('q'):
break
