Function main

samples/ObjectDetection/src/Main.cpp:129–195

}

int main(int argc, char *argv[])
{
    std::map<std::string, std::string> options;

    int result = ParseOptions(options, CMD_OPTIONS, argv, argc);
    if (result != 0)
    {
        return result;
    }

    // Create the network options
    common::PipelineOptions pipelineOptions;
    pipelineOptions.m_ModelFilePath = GetSpecifiedOption(options, MODEL_FILE_PATH);
    pipelineOptions.m_ModelName = GetSpecifiedOption(options, MODEL_NAME);

    if (CheckOptionSpecified(options, PROFILING_ENABLED))
    {
        pipelineOptions.m_ProfilingEnabled = GetSpecifiedOption(options, PROFILING_ENABLED) == "true";
    }
    if(CheckOptionSpecified(options, PREFERRED_BACKENDS))
    {
        pipelineOptions.m_backends = GetPreferredBackendList((GetSpecifiedOption(options, PREFERRED_BACKENDS)));
    }
    else
    {
        pipelineOptions.m_backends = {"CpuAcc", "CpuRef"};
    }

    auto labels = AssignColourToLabel(GetSpecifiedOption(options, LABEL_PATH));

    common::Profiling profiling(pipelineOptions.m_ProfilingEnabled);
    profiling.ProfilingStart();
    od::IPipelinePtr objectDetectionPipeline = od::CreatePipeline(pipelineOptions);

    auto inputAndOutput = GetFrameSourceAndSink(options);
    std::unique_ptr<common::IFrameReader<cv::Mat>> reader = std::move(std::get<0>(inputAndOutput));
    std::unique_ptr<common::IFrameOutput<cv::Mat>> sink = std::move(std::get<1>(inputAndOutput));

    if (!sink->IsReady())
    {
        std::cerr << "Failed to open video writer.";
        return 1;
    }

    common::InferenceResults<float> results;

    std::shared_ptr<cv::Mat> frame = reader->ReadFrame();

    //pre-allocate frames
    cv::Mat processed;

    while(!reader->IsExhausted(frame))
    {
        objectDetectionPipeline->PreProcessing(*frame, processed);
        objectDetectionPipeline->Inference(processed, results);
        objectDetectionPipeline->PostProcessing(results,
                                                [&frame, &labels](od::DetectedObjects detects) -> void {
            AddInferenceOutputToFrame(detects, *frame, labels);