选脸融合推荐

import cv2
import dlib
from skimage import transform as tf

# 加载人脸检测器和关键点预测器
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

# 读取用户照片和目标照片
user_img = cv2.imread('user.jpg')
target_img = cv2.imread('target.jpg')

# 检测人脸并获取关键点
user_face = detector(user_img)[0]
user_landmarks = predictor(user_img, user_face)

target_face = detector(target_img)[0]
target_landmarks = predictor(target_img, target_face)

# 创建仿射变换矩阵
tform = tf.SimilarityTransform()
tform.estimate(user_landmarks.parts()[30].get_point(), target_landmarks.parts()[30].get_point())

# 应用变换
registered_img = tf.warp(user_img, tform.inverse, output_shape=target_img.shape)

# 融合图像
alpha = 0.5
blended_img = cv2.addWeighted(registered_img, alpha, target_img, 1 - alpha, 0)

# 显示结果
cv2.imshow('Blended Image', blended_img)
cv2.waitKey(0)
cv2.destroyAllWindows()