双11人脸娱乐哪里买

import cv2
import numpy as np

# 加载人脸检测器
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

# 打开摄像头
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, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))

    for (x, y, w, h) in faces:
        # 在检测到的人脸周围绘制矩形
        cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
        # 添加人脸特效（例如，贴上笑脸）
        smile = cv2.imread('smile.png', -1)
        smile_resized = cv2.resize(smile, (w, h))
        for c in range(0, 3):
            frame[y:y+h, x:x+w, c] = smile_resized[:, :, c] * (smile_resized[:, :, 3] / 255.0) + frame[y:y+h, x:x+w, c] * (1.0 - smile_resized[:, :, 3] / 255.0)

    cv2.imshow('Face Entertainment', frame)

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

cap.release()
cv2.destroyAllWindows()