Method InitDetector

example/CarsCounting.cpp:138–168

\brief CarsCounting::InitDetector \param frame

/// \param frame
///
bool CarsCounting::InitDetector(cv::UMat frame)
{
    if (!m_trackerSettingsLoaded)
        return false;

    config_t config;

    config.emplace("modelConfiguration", m_trackerSettings.m_nnConfig);
    config.emplace("modelBinary", m_trackerSettings.m_nnWeights);
    config.emplace("confidenceThreshold", std::to_string(m_trackerSettings.m_confidenceThreshold));
    config.emplace("classNames", m_trackerSettings.m_classNames);
    config.emplace("maxCropRatio", std::to_string(m_trackerSettings.m_maxCropRatio));
    config.emplace("maxBatch", std::to_string(m_trackerSettings.m_maxBatch));
    config.emplace("gpuId", std::to_string(m_trackerSettings.m_gpuId));
    config.emplace("net_type", m_trackerSettings.m_netType);
    config.emplace("inference_precision", m_trackerSettings.m_inferencePrecision);
    config.emplace("video_memory", std::to_string(m_trackerSettings.m_maxVideoMemory));
    config.emplace("dnnTarget", m_trackerSettings.m_dnnTarget);
    config.emplace("dnnBackend", m_trackerSettings.m_dnnBackend);
    config.emplace("inWidth", std::to_string(m_trackerSettings.m_inputSize.width));
    config.emplace("inHeight", std::to_string(m_trackerSettings.m_inputSize.height));

    for (auto wname : m_trackerSettings.m_whiteList)
    {
        config.emplace("white_list", wname);
    }

    m_detector = BaseDetector::CreateDetector((tracking::Detectors)m_trackerSettings.m_detectorBackend, config, frame);

    return m_detector.operator bool();
}

///
/// \brief CarsCounting::InitTracker