# 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 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(profiles->getProfile(OB_PROFILE_DEFAULT))->as();
}

// By creating config to configure which streams to enable or disable for the pipeline, here the depth stream will be enabled
std::shared_ptr config = std::make_shared();
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 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()) {
        decFilter = postProcessorfilter->as();
    }
}

开启pipeline

pipe.start(config);

预期输出：