import cv2
from fer import FER
# Initialize the emotion detector
detector = FER()
# Start video capture from the webcam
cap = cv2.VideoCapture(0)
while True:
# Capture frame-by-frame
ret, frame = cap.read()
# Use the FER library to detect emotions
emotions = detector.detect_emotions(frame)
# Draw rectangles and labels for each detected face and their emotions
for emotion in emotions:
(x, y, w, h) = emotion["box"]
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
# Get the dominant emotion
dominant_emotion = emotion["emotions"]
emotion_name = max(dominant_emotion, key=dominant_emotion.get)
# Display the emotion name
cv2.putText(frame, emotion_name, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)
# Display the resulting frame
cv2.imshow('Emotion Detection', frame)
# Break the loop if 'q' is pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# Release the capture and close any open windows
cap.release()
cv2.destroyAllWindows()
