人脸娱乐限时活动

import cv2
import numpy as np

# 加载预训练的人脸检测器和表情分类器
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
emotion_model = cv2.dnn.readNetFromCaffe('deploy.prototxt', 'emotion_model.caffemodel')

# 定义表情标签
emotions = ['Angry', 'Disgust', 'Fear', 'Happy', 'Sad', 'Surprise', 'Neutral']

cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    if not ret:
        break

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)

    for (x, y, w, h) in faces:
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = frame[y:y+h, x:x+w]

        blob = cv2.dnn.blobFromImage(cv2.resize(roi_gray, (48, 48)), 1.0, (48, 48), (104.0, 177.0, 123.0))
        emotion_model.setInput(blob)
        preds = emotion_model.forward()
        emotion_idx = np.argmax(preds)
        emotion = emotions[emotion_idx]

        cv2.putText(frame, emotion, (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)
        cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)

    cv2.imshow('Emotion Recognition', frame)

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

cap.release()
cv2.destroyAllWindows()