双十一人脸年龄变换推荐

import cv2
import dlib
from skimage import transform as tf

# 加载人脸检测器和年龄变换模型
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
age_net = cv2.dnn.readNetFromCaffe("deploy_age.prototxt", "age_net.caffemodel")

# 读取图像
image = cv2.imread("input.jpg")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# 检测人脸
faces = detector(gray)

for face in faces:
    # 获取面部特征点
    landmarks = predictor(gray, face)
    
    # 提取面部区域
    face_img = image[face.top():face.bottom(), face.left():face.right()]
    
    # 进行年龄变换（这里仅为示例，实际应用中需要更复杂的处理）
    age_img = tf.rescale(face_img, 1.5, mode='reflect')  # 简单放大面部区域
    
    # 将变换后的面部区域放回原图
    image[face.top():face.bottom(), face.left():face.right()] = age_img

# 显示结果
cv2.imshow("Age Transformed Image", image)
cv2.waitKey(0)
cv2.destroyAllWindows()