OrbbecSDK_v2

C++ Sample: 1.stream.infrared

Overview

Use the SDK interface to obtain the camera IR stream and display it in the window

Knowledge

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

code overview

  1. Configure IR sensor related information and enable the IR stream.You must configure this before calling pipe.start().

         // Get the device from pipeline.
     std::shared_ptr<ob::Device> device = pipe.getDevice();

     // Get the sensor list from device.
     std::shared_ptr<ob::SensorList> sensorList = device->getSensorList();

     // Create a config for pipeline.
     std::shared_ptr<ob::Config> config = std::make_shared<ob::Config>();

     for(uint32_t index = 0; index < sensorList->getCount(); index++) {
         // Query all supported infrared sensor type and enable the infrared stream.
         // For dual infrared device, enable the left and right infrared streams.
         // For single infrared device, enable the infrared stream.
         OBSensorType sensorType = sensorList->getSensorType(index);
         if(sensorType == OB_SENSOR_IR || sensorType == OB_SENSOR_IR_LEFT || sensorType == OB_SENSOR_IR_RIGHT) {
             // Enable the stream with specified profile;
             config->enableVideoStream(sensorType, OB_WIDTH_ANY, OB_HEIGHT_ANY, 30, OB_FORMAT_ANY);
         }
     }

  2. Open the window and output the IR stream

         ob_smpl::CVWindow win("Infrared", 1280, 720, ob_smpl::ARRANGE_ONE_ROW);
     while(win.run()) {
     // Wait for up to 100ms for a frameset in blocking mode.
         auto frameSet = pipe.waitForFrameset(100);
         if(frameSet == nullptr) {
             continue;
     }

     // Render a set of frame in the window.
     win.pushFramesToView(frameSet);
     }

Run Sample

Press the Esc key in the window to exit the program.

Result

image

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