重复刷新模型造成的内存泄露问题

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环境

【FastDeploy版本】： deploy自己编译
【编译命令】export ENABLE_ORT_BACKEND = OFF
export ENABLE_PADDLE_BACKEND = OFF
export ENABLE_OPENVINO_BACKEND = OFF
export ENABLE_VISION = ON
export ENABLE_TEXT = OFF
export ENABLE_TRT_BACKEND = OFF
export WITH_GPU = OFF
【系统平台】: Windows 11
【硬件】： 笔记本 intel i7-1260p
【编译语言】：C++

问题日志及出现问题的操作流程

由于工程要求，每次刷新相机之后都需要重新刷新一次AI模型。经过测试发现，如果重复调用多次模型初始化函数，会造成内存泄漏，每隔10s~20s会泄露0.3M。下面是我的初始化函数
bool OcrModel::InitModel(OcrModelConfig& config) {
// 将 GBK 路径转换为 UTF-8 路径
std::string model_dir = config.strNetPath;

// 构建模型文件的路径
std::filesystem::path model_path = std::filesystem::path(model_dir) / "inference.pdmodel";
std::filesystem::path params_path = std::filesystem::path(model_dir) / "inference.pdiparams";
std::filesystem::path config_path = std::filesystem::path(model_dir) / "inference.yaml";

std::string& strError = config.strError;

// 检查文件是否存在
if (!fs::exists(model_path) || !fs::exists(params_path)) {
    config.strError = "Model or parameter file does not exist.";
    return false;
}

// 初始化模型
option.UseCpu();  // 使用 CPU
try {
    model = fastdeploy::vision::ocr::DBDetector(model_path.string(), params_path.string(), option);
}
catch (const std::exception& e) {
    strError = "Failed to create the OCR model: " + std::string(e.what());
    return false;
}

if (!model.Initialized()) {
    strError = "Failed to initialize the OCR model.";
    return false;
}

try {
    model.GetPostprocessor().SetDetDBThresh(config.det_db_thresh);
    model.GetPostprocessor().SetDetDBBoxThresh(config.det_db_box_thresh);
    model.GetPostprocessor().SetDetDBUnclipRatio(config.det_db_unclip_ratio);
}
catch (const std::exception& e) {
    strError = "Failed to set post-processing parameters: " + std::string(e.what());
    return false;
}
return true;

}

Start with the OcrModel::InitModel function shown in the report, especially repeated assignment of the fastdeploy::vision::ocr::DBDetector model. Reproduce repeated model refreshes on Windows 11 with the reported CPU configuration and measure memory over time; done means repeated initialization no longer causes the reported leak.