// License: Apache 2.0. See LICENSE file in root directory. // Copyright(c) 2015-2017 Intel Corporation. All Rights Reserved. #include // Include RealSense Cross Platform API #include "example.hpp" // Include short list of convenience functions for rendering #include // std::min, std::max // Helper functions void register_glfw_callbacks(window& app, glfw_state& app_state); int main(int argc, char * argv[]) try { // Create a simple OpenGL window for rendering: window app(1280, 720, "RealSense Pointcloud Example"); // Construct an object to manage view state glfw_state app_state; // register callbacks to allow manipulation of the pointcloud register_glfw_callbacks(app, app_state); // Declare pointcloud object, for calculating pointclouds and texture mappings rs2::pointcloud pc; // We want the points object to be persistent so we can display the last cloud when a frame drops rs2::points points; // Declare RealSense pipeline, encapsulating the actual device and sensors rs2::pipeline pipe; // Start streaming with default recommended configuration pipe.start(); while (app) // Application still alive? { // Wait for the next set of frames from the camera auto frames = pipe.wait_for_frames(); auto color = frames.get_color_frame(); // For cameras that don't have RGB sensor, we'll map the pointcloud to infrared instead of color if (!color) color = frames.get_infrared_frame(); // Tell pointcloud object to map to this color frame pc.map_to(color); auto depth = frames.get_depth_frame(); // Generate the pointcloud and texture mappings points = pc.calculate(depth); // Upload the color frame to OpenGL app_state.tex.upload(color); // Draw the pointcloud draw_pointcloud(app.width(), app.height(), app_state, points); } return EXIT_SUCCESS; } catch (const rs2::error & e) { std::cerr << "RealSense error calling " << e.get_failed_function() << "(" << e.get_failed_args() << "):\n " << e.what() << std::endl; return EXIT_FAILURE; } catch (const std::exception & e) { std::cerr << e.what() << std::endl; return EXIT_FAILURE; }