C++跨平台开发中人工智能和机器学习的集成

#include <tensorflow/c/c_api.h>
#include <opencv2/opencv.hpp>

int main() {
    // 加载模型
    TF_Graph* graph = TF_NewGraph();
    TF_Status* status = TF_NewStatus();
    TF_SessionOptions* options = TF_NewSessionOptions();
    TF_Session* session = TF_NewSession(graph, options, status);
    TF_Buffer* graph_def = TF_NewBufferFromFile("model.pb");
    TF_ImportGraphDefOptions* import_options = TF_NewImportGraphDefOptions();
    TF_ImportGraphDef(graph, graph_def, import_options, status);
    TF_DeleteImportGraphDefOptions(import_options);
    TF_DeleteBuffer(graph_def);

    // 准备图像
    cv::Mat image = cv::imread("image.jpg");
    cv::resize(image, image, cv::Size(224, 224));

    // 运行推理
    TF_Tensor* input_tensor = TF_NewTensor(TF_FLOAT, nullptr, 0, nullptr, 0);
    TF_Tensor* output_tensor = TF_NewTensor(TF_FLOAT, nullptr, 0, nullptr, 0);
    TF_Tensor* placeholder = TF_OutputTensor(TF_GraphOperationByName(graph, "input:0"), 0);
    TF_SessionRun(session, nullptr, &placeholder, &input_tensor, 1, &output_tensor, nullptr, 0, nullptr, status);
    
    // 获取结果
    float* output = reinterpret_cast<float*>(TF_TensorData(output_tensor));
    int max_index = 0;
    float max_prob = output[0];
    for (int i = 1; i < 1000; i++) {
        if (output[i] > max_prob) {
            max_index = i;
            max_prob = output[i];
        }
    }

    // 打印标签
    std::cout << "Predicted label: " << max_index << std::endl;

    // 清理
    TF_DeleteTensor(input_tensor);
    TF_DeleteTensor(output_tensor);
    TF_CloseSession(session, status);
    TF_DeleteSessionOptions(options);
    TF_DeleteStatus(status);
    TF_DeleteGraph(graph);

    return 0;
}