怎样在C++中使用机器学习库？

#include <tensorflow/cc/client/client_session.h>
#include <tensorflow/cc/saved_model/loader.h>
#include <tensorflow/core/protobuf/meta_graph.pb.h>

#include <iostream>

int main() {
    // 加载保存的模型
    tensorflow::SavedModelBundle bundle;
    tensorflow::SessionOptions session_options;
    tensorflow::RunOptions run_options;
    tensorflow::Status status = tensorflow::LoadSavedModel(
        session_options,
        run_options,
        "/path/to/your/saved_model",
        {"serve"},
        &bundle
    );

    if (!status.ok()) {
        std::cerr << "Error loading model: " << status.ToString() << std::endl;
        return 1;
    }

    // 创建输入张量
    tensorflow::Tensor input(tensorflow::DT_FLOAT, tensorflow::TensorShape({1, 28, 28, 1}));
    auto input_mapped = input.tensor<float, 4>();
    // 填充输入数据，这里假设是MNIST数据集的一个样本

    // 运行模型
    std::vector<tensorflow::Tensor> outputs;
    status = bundle.GetSession()->Run({{"x", input}}, {"y"}, {}, &outputs);

    if (!status.ok()) {
        std::cerr << "Error running model: " << status.ToString() << std::endl;
        return 1;
    }

    // 处理输出
    auto output_mapped = outputs[0].tensor<float, 2>();
    std::cout << "Prediction: " << output_mapped(0, 0) << std::endl;

    return 0;
}

#include <dlib/image_processing/frontal_face_detector.h>
#include <dlib/gui_widgets.h>
#include <dlib/image_io.h>

using namespace dlib;

int main() {
    frontal_face_detector detector = get_frontal_face_detector();
    image_window win;

    // 加载图片
    array2d<rgb_pixel> img;
    load_image(img, "path/to/your/image.jpg");

    // 检测人脸
    std::vector<rectangle> faces = detector(img);

    // 在窗口中显示检测结果
    win.set_image(img);
    win.add_overlay(faces);
    win.wait_until_closed();

    return 0;
}