facialemotion

import cv2 
from deepface import  DeepFace
facecascade = cv2.CascadeClassifier(cv2.data.haarcascades + "C:/Users/Desktop/haarcascade_frontalface_default.xml")
cap = cv2.VideoCapture(1)
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('emotion' )
    
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(gray,1.1,4)
    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['dominant_emotion'],
                    (50, 50),
                    font, 3,
                    (0, 0, 255),
                    2,
                    cv2.LINE_4)
        cv2.imshow('original video', frame)
        if cv2.waitKey(2)& 0xFF== ord('q'):
            break
                
        cap.release()
        cv2.destroyAllWindows()