AI变脸试用

import cv2
import dlib

# 加载人脸检测器和面部标志预测器
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

# 加载源图像和目标图像
source_image = cv2.imread("source_face.jpg")
target_image = cv2.imread("target_face.jpg")

# 检测人脸并获取面部标志
def get_landmarks(image):
    faces = detector(image)
    if len(faces) > 0:
        return np.matrix([[p.x, p.y] for p in predictor(image, faces[0]).parts()])
    else:
        return None

# 替换人脸
def replace_face(source, target, landmarks):
    # 此处省略具体的替换算法实现
    pass

# 主程序
source_landmarks = get_landmarks(source_image)
target_landmarks = get_landmarks(target_image)

if source_landmarks is not None and target_landmarks is not None:
    result_image = replace_face(source_image, target_image, source_landmarks)
    cv2.imshow("Result", result_image)
    cv2.waitKey(0)