双11选脸融合选购

import cv2
import dlib

# 加载必要的模型
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

# 读取用户和特征图像
user_img = cv2.imread('user_face.jpg')
feature_img = cv2.imread('feature_eye.jpg')

# 检测人脸并获取关键点
faces = detector(user_img)
for face in faces:
    landmarks = predictor(user_img, face)
    
    # 假设我们要融合眼睛特征
    eye_left = landmarks.part(36)
    eye_right = landmarks.part(45)
    
    # 裁剪特征图像以匹配眼睛大小
    feature_eye_resized = cv2.resize(feature_img, (eye_right.x - eye_left.x, eye_right.y - eye_left.y))
    
    # 将特征融合到用户脸上
    user_img[eye_left.y:eye_right.y, eye_left.x:eye_right.x] = feature_eye_resized

# 显示结果
cv2.imshow('Face Fusion', user_img)
cv2.waitKey(0)
cv2.destroyAllWindows()