人脸特征编辑活动

import cv2

# 加载人脸检测器和眼镜图像
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
glasses = cv2.imread('glasses.png', -1)

def add_glasses(frame, x, y, w, h):
    # 调整眼镜大小以适应人脸
    glasses_resized = cv2.resize(glasses, (w, int(w * glasses.shape[0] / glasses.shape[1])))
    # 计算眼镜叠加的位置
    glass_x = x
    glass_y = y - int(glasses_resized.shape[0] / 2)
    # 叠加眼镜图像
    for i in range(glasses_resized.shape[0]):
        for j in range(glasses_resized.shape[1]):
            if glasses_resized[i, j, 3] != 0:  # 检查alpha通道
                frame[glass_y + i, glass_x + j] = glasses_resized[i, j, :3]

# 打开摄像头并开始处理
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:
        add_glasses(frame, x, y, w, h)
    cv2.imshow('Face Glasses', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()