FaceEmoRecOpenCV.py

from deepface import DeepFace 
import cv2
faceCascade =cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
cap=cv2.VideoCapture(0)
if not cap.isOpened():
    cap=cv2.VideoCapture(0)
if not cap.isOpened():
    raise IOError("Cannot open webcam")
while True:
    ret,frame=cap.read()
    result=DeepFace.analyze(frame,actions=['emotion'],enforce_detection=False)
    gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    faces=faceCascade.detectMultiScale(gray,1.1,4)
    try:
        for(x,y,w,h) in faces:
            cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)
            font=cv2.FONT_HERSHEY_SIMPLEX
            cv2.putText(frame,result[0]['dominant_emotion'],(50,100),font,3,(0,0,255),5,cv2.LINE_4)
    except:
        pass
    cv2.imshow('Demo video',frame)
    if cv2.waitKey(2)& 0xFF==ord('f'):
        break   
cap.release()
cv2.destroyAllWindows()