无法打开yolov7.onnx

问题遇到的现象和发生背景

c++配置yolov7，Failed to parse ONNX model from file: /workspace/models/yolov7/v1.0/tensorrt_inference/yolov7.onnx
我的是windows10，cudnn，cuda，tensorrt，yaml等都是严格正确的

用代码块功能插入代码，请勿粘贴截图

Could not open file /workspace/models/yolov7/v1.0/tensorrt_inference/yolov7.onnx
Could not open file /workspace/models/yolov7/v1.0/tensorrt_inference/yolov7.onnx
Failed to parse ONNX model from file: /workspace/models/yolov7/v1.0/tensorrt_inference/yolov7.onnx

void Model::onnxToTRTModel() {
    // create the builder
    nvinfer1::IBuilder *builder = nvinfer1::createInferBuilder(gLogger.getTRTLogger());
    assert(builder != nullptr);

    const auto explicitBatch = 1U << static_cast<uint32_t>(nvinfer1::NetworkDefinitionCreationFlag::kEXPLICIT_BATCH);
    auto network = builder->createNetworkV2(explicitBatch);
    auto config = builder->createBuilderConfig();

    auto parser = nvonnxparser::createParser(*network, gLogger.getTRTLogger());
    if (!parser->parseFromFile(onnx_file.c_str(), static_cast<int>(gLogger.getReportableSeverity()))) {
        gLogError << "Failure while parsing ONNX file" << std::endl;
    }
    // Build the engine
    builder->setMaxBatchSize(BATCH_SIZE);
    config->setMaxWorkspaceSize(1_GiB);
    config->setFlag(nvinfer1::BuilderFlag::kFP16);

    std::cout << "start building engine" << std::endl;
    engine = builder->buildEngineWithConfig(*network, *config);
    std::cout << "build engine done" << std::endl;
    assert(engine);
    // we can destroy the parser
    parser->destroy();
    // save engine
    nvinfer1::IHostMemory *data = engine->serialize();
    std::ofstream file;
    file.open(engine_file, std::ios::binary | std::ios::out);
    std::cout << "writing engine file..." << std::endl;
    file.write((const char *) data->data(), data->size());
    std::cout << "save engine file done" << std::endl;
    file.close();
    // then close everything down
    network->destroy();
    builder->destroy();
}



我的代码onnx代码是这样的

运行结果及报错内容

我的解答思路和尝试过的方法

我创建了这个文件夹，onnx我是有点，也配置好了是对应的版本

我想要达到的结果

打开这个文件夹