examples/RGBDMapping/main.cpp

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
 
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
    * Redistributions of source code must retain the above copyright
      notice, this list of conditions and the following disclaimer.
    * Redistributions in binary form must reproduce the above copyright
      notice, this list of conditions and the following disclaimer in the
      documentation and/or other materials provided with the distribution.
    * Neither the name of the Universite de Sherbrooke nor the
      names of its contributors may be used to endorse or promote products
      derived from this software without specific prior written permission.
 
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
 
#include <rtabmap/core/Odometry.h>
#include "rtabmap/core/Rtabmap.h"
#include "rtabmap/core/RtabmapThread.h"
#include "rtabmap/core/CameraRGBD.h"
#include "rtabmap/core/CameraStereo.h"
#include "rtabmap/core/OdometryThread.h"
#include "rtabmap/core/Graph.h"
#include "rtabmap/utilite/UEventsManager.h"
#include <QApplication>
#include <stdio.h>
#include <pcl/io/pcd_io.h>
#include <pcl/io/ply_io.h>
#include <pcl/filters/filter.h>
#include <rtabmap/core/SensorCaptureThread.h>
 
#ifdef RTABMAP_PYTHON
#include "rtabmap/core/PythonInterface.h"
#endif
 
#include "MapBuilder.h"
 
void showUsage()
{
        printf("\nUsage:\n"
                        "rtabmap-rgbd_mapping driver\n"
                        "  driver       Driver number to use: 0=OpenNI-PCL, 1=OpenNI2, 2=Freenect, 3=OpenNI-CV, 4=OpenNI-CV-ASUS, 5=Freenect2, 6=ZED SDK, 7=RealSense, 8=RealSense2 9=Kinect for Azure SDK 10=MYNT EYE S\n\n");
        exit(1);
}
 
using namespace rtabmap;
int main(int argc, char * argv[])
{
        ULogger::setType(ULogger::kTypeConsole);
        ULogger::setLevel(ULogger::kWarning);
 
#ifdef RTABMAP_PYTHON
        PythonInterface python; // Make sure we initialize python in main thread
#endif
 
        int driver = 0;
        if(argc < 2)
        {
                showUsage();
        }
        else
        {
                driver = atoi(argv[argc-1]);
                if(driver < 0 || driver > 10)
                {
                        UERROR("driver should be between 0 and 10.");
                        showUsage();
                }
        }
 
        // Here is the pipeline that we will use:
        // CameraOpenni -> "SensorEvent" -> OdometryThread -> "OdometryEvent" -> RtabmapThread -> "RtabmapEvent"
 
        // Create the OpenNI camera, it will send a SensorEvent at the rate specified.
        // Set transform to camera so z is up, y is left and x going forward
        Camera * camera = 0;
        if(driver == 1)
        {
                if(!CameraOpenNI2::available())
                {
                        UERROR("Not built with OpenNI2 support...");
                        exit(-1);
                }
                camera = new CameraOpenNI2();
        }
        else if(driver == 2)
        {
                if(!CameraFreenect::available())
                {
                        UERROR("Not built with Freenect support...");
                        exit(-1);
                }
                camera = new CameraFreenect();
        }
        else if(driver == 3)
        {
                if(!CameraOpenNICV::available())
                {
                        UERROR("Not built with OpenNI from OpenCV support...");
                        exit(-1);
                }
                camera = new CameraOpenNICV();
        }
        else if(driver == 4)
        {
                if(!CameraOpenNICV::available())
                {
                        UERROR("Not built with OpenNI from OpenCV support...");
                        exit(-1);
                }
                camera = new CameraOpenNICV(true);
        }
        else if (driver == 5)
        {
                if (!CameraFreenect2::available())
                {
                        UERROR("Not built with Freenect2 support...");
                        exit(-1);
                }
                camera = new CameraFreenect2(0, CameraFreenect2::kTypeColor2DepthSD);
        }
        else if (driver == 6)
        {
                if (!CameraStereoZed::available())
                {
                        UERROR("Not built with ZED SDK support...");
                        exit(-1);
                }
                camera = new CameraStereoZed(0, 2, 1, 1, 100, false);
        }
        else if (driver == 7)
        {
                if (!CameraRealSense::available())
                {
                        UERROR("Not built with RealSense support...");
                        exit(-1);
                }
                camera = new CameraRealSense();
        }
        else if (driver == 8)
        {
                if (!CameraRealSense2::available())
                {
                        UERROR("Not built with RealSense2 support...");
                        exit(-1);
                }
                camera = new CameraRealSense2();
        }
        else if (driver == 9)
        {
                if (!rtabmap::CameraK4A::available())
                {
                        UERROR("Not built with Kinect for Azure SDK support...");
                        exit(-1);
                }
                camera = new rtabmap::CameraK4A(1);
        }
        else if (driver == 10)
        {
                if (!rtabmap::CameraMyntEye::available())
                {
                        UERROR("Not built with Mynt Eye S support...");
                        exit(-1);
                }
                camera = new rtabmap::CameraMyntEye();
        }
        else
        {
                camera = new rtabmap::CameraOpenni();
        }
 
        if(!camera->init())
        {
                UERROR("Camera init failed!");
        }
 
        SensorCaptureThread cameraThread(camera);
 
 
        // GUI stuff, there the handler will receive RtabmapEvent and construct the map
        // We give it the camera so the GUI can pause/resume the camera
        QApplication app(argc, argv);
        MapBuilder mapBuilder(&cameraThread);
 
        // Create an odometry thread to process camera events, it will send OdometryEvent.
        OdometryThread odomThread(Odometry::create());
 
 
        ParametersMap params;
        //param.insert(ParametersPair(Parameters::kRGBDCreateOccupancyGrid(), "true")); // uncomment to create local occupancy grids
 
        // Create RTAB-Map to process OdometryEvent
        Rtabmap * rtabmap = new Rtabmap();
        rtabmap->init(params);
        RtabmapThread rtabmapThread(rtabmap); // ownership is transfered
 
        // Setup handlers
        odomThread.registerToEventsManager();
        rtabmapThread.registerToEventsManager();
        mapBuilder.registerToEventsManager();
 
        // The RTAB-Map is subscribed by default to SensorEvent, but we want
        // RTAB-Map to process OdometryEvent instead, ignoring the SensorEvent.
        // We can do that by creating a "pipe" between the camera and odometry, then
        // only the odometry will receive SensorEvent from that camera. RTAB-Map is
        // also subscribed to OdometryEvent by default, so no need to create a pipe between
        // odometry and RTAB-Map.
        UEventsManager::createPipe(&cameraThread, &odomThread, "SensorEvent");
 
        // Let's start the threads
        rtabmapThread.start();
        odomThread.start();
        cameraThread.start();
 
        printf("Press Space key to pause.\n");
 
        mapBuilder.show();
        app.exec(); // main loop
 
        // remove handlers
        mapBuilder.unregisterFromEventsManager();
        rtabmapThread.unregisterFromEventsManager();
        odomThread.unregisterFromEventsManager();
 
        // Kill all threads
        cameraThread.kill();
        odomThread.join(true);
        rtabmapThread.join(true);
 
        // Save 3D map
        printf("Saving rtabmap_cloud.pcd...\n");
        std::map<int, Signature> nodes;
        std::map<int, Transform> optimizedPoses;
        std::multimap<int, Link> links;
        rtabmap->getGraph(optimizedPoses, links, true, true, &nodes, true, true, true, true);
        pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZRGB>);
        for(std::map<int, Transform>::iterator iter=optimizedPoses.begin(); iter!=optimizedPoses.end(); ++iter)
        {
                Signature node = nodes.find(iter->first)->second;
 
                // uncompress data
                node.sensorData().uncompressData();
 
                pcl::PointCloud<pcl::PointXYZRGB>::Ptr tmp = util3d::cloudRGBFromSensorData(
                                node.sensorData(),
                                4,           // image decimation before creating the clouds
                                4.0f,        // maximum depth of the cloud
                                0.0f);
                pcl::PointCloud<pcl::PointXYZRGB>::Ptr tmpNoNaN(new pcl::PointCloud<pcl::PointXYZRGB>);
                std::vector<int> index;
                pcl::removeNaNFromPointCloud(*tmp, *tmpNoNaN, index);
                if(!tmpNoNaN->empty())
                {
                        *cloud += *util3d::transformPointCloud(tmpNoNaN, iter->second); // transform the point cloud to its pose
                }
        }
        if(cloud->size())
        {
                printf("Voxel grid filtering of the assembled cloud (voxel=%f, %d points)\n", 0.01f, (int)cloud->size());
                cloud = util3d::voxelize(cloud, 0.01f);
 
                printf("Saving rtabmap_cloud.pcd... done! (%d points)\n", (int)cloud->size());
                pcl::io::savePCDFile("rtabmap_cloud.pcd", *cloud);
                //pcl::io::savePLYFile("rtabmap_cloud.ply", *cloud); // to save in PLY format
        }
        else
        {
                printf("Saving rtabmap_cloud.pcd... failed! The cloud is empty.\n");
        }
 
        // Save trajectory
        printf("Saving rtabmap_trajectory.txt ...\n");
        if(optimizedPoses.size() && graph::exportPoses("rtabmap_trajectory.txt", 0, optimizedPoses, links))
        {
                printf("Saving rtabmap_trajectory.txt... done!\n");
        }
        else
        {
                printf("Saving rtabmap_trajectory.txt... failed!\n");
        }
 
        rtabmap->close(false);
 
        return 0;
}