3.advanced.post_processing

C++ Sample: 3.advanced.post_processing

Overview

Use the SDK interface to  demonstrate post-processing operations, display post-processed images, and exit the program using the ESC_KEY key

Knowledge

Pipeline is a pipeline for processing data streams, providing multi-channel stream configuration, switching, frame aggregation, and frame synchronization functions

Frameset is a combination of different types of Frames

win is used to display the frame data.

Code overview

1. Get the device and sensor, and create the list of recommended filters for the sensor

       auto device     = pipe.getDevice();
       auto sensor     = device->getSensor(OB_SENSOR_DEPTH);
       auto filterList = sensor->createRecommendedFilters();

2. The filter operation.

   • Get the type of filter

   filter->getName()

   • Get the Config Schema Vec object

   filter->getConfigSchemaVec()

   • Enable the filter

   filter->enable(tokens[1] == "on");

   • Get the Config Value object by name.

   filter->getConfigValue(configSchema.name)

   • Get the Enable State of the filter.

   filter->isEnabled()

   • Set the filter config value by name.

   filter->setConfigValue(tokens[1], value);

3. Apply the recommended filters to the depth frame

       auto processedFrame = depthFrame;
       // Apply the recommended filters to the depth frame
       for(auto &filter: filterList) {
           if(filter->isEnabled()) {  // Only apply enabled filters
               processedFrame = filter->process(processedFrame);
           }
       }

Run Sample

Press the button according to the interface prompts

Result