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    C++ 后处理示例代码-Post Processing

    # 后处理示例-PostProcessing

     

    支持设备: Gemini 330系列相机,例如:Gemini G335

     

    功能描述:演示进行后处理操作,显示经过后处理的图像,并通过ESC_KEY键退出程序

     

    >本示例基于C++ high Level API进行演示

     

    获取pipeline,进行流配置

    // Create a pipeline with default device
    ob::Pipeline pipe;

    // Get all stream profiles of the depth camera, including stream resolution, frame rate, and frame format
    auto profiles = pipe.getStreamProfileList(OB_SENSOR_DEPTH);

    std::shared_ptr<ob::VideoStreamProfile> depthProfile = nullptr;
    try {
        // Find the corresponding profile according to the specified format, first look for the y16 format
        depthProfile = profiles->getVideoStreamProfile(640, OB_HEIGHT_ANY, OB_FORMAT_Y16, 30);
    }
    catch(ob::Error &e) {
        // If the specified format is not found, search for the default profile to open the stream
        depthProfile = std::const_pointer_cast<ob::StreamProfile>(profiles->getProfile(OB_PROFILE_DEFAULT))->as<ob::VideoStreamProfile>();
    }

    // By creating config to configure which streams to enable or disable for the pipeline, here the depth stream will be enabled
    std::shared_ptr<ob::Config> config = std::make_shared<ob::Config>();
    config->enableStream(depthProfile);

     

    获取深度后处理过滤器列表

    auto obFilterList = pipe.getDevice()->getSensor(OB_SENSOR_DEPTH)->getRecommendedFilters();

    std::shared_ptr<ob::DecimationFilter> decFilter;
    for(int i = 0; i < obFilterList->count(); i++) {
        auto postProcessorfilter =obFilterList->getFilter(i);
        std::cout << "Depth recommended post processor filter type: " << postProcessorfilter->type() << std::endl;
        if(postProcessorfilter->is<ob::DecimationFilter>()) {
            decFilter = postProcessorfilter->as<ob::DecimationFilter>();
        }
    }

     

    开启pipeline

    pipe.start(config);

    预期输出:

    image.png 


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