import cv2
import sys
from emot import emo_det


cascPath = "webcam.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
font = cv2.FONT_HERSHEY_SIMPLEX
video_capture = cv2.VideoCapture(0)

while True:
    # Capture frame-by-frame
    ret, frame = video_capture.read()

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=1.1,
        minNeighbors=5,
        minSize=(30, 30),
        flags=cv2.CASCADE_SCALE_IMAGE
    )

    # Draw a rectangle around the faces and display the dominant emotion and score(in %)
    for (x, y, w, h) in faces:
        dom_emotion,dom_score = emo_det(frame)
        cv2.putText(frame, dom_emotion+"  "+str(dom_score*100)+'%', (x, y), font, 1, (0, 255, 0), 2)
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)

    # Display the resulting frame
    cv2.imshow('Video', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()
