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rtabmap/tools/Export/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/DBDriver.h>
#include <rtabmap/core/Rtabmap.h>
#include <rtabmap/core/util3d.h>
#include <rtabmap/core/util3d_filtering.h>
#include <rtabmap/core/util3d_transforms.h>
#include <rtabmap/core/util3d_surface.h>
#include <rtabmap/core/optimizer/OptimizerG2O.h>
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#include <rtabmap/utilite/UMath.h>
#include <rtabmap/utilite/UTimer.h>
#include <rtabmap/utilite/UFile.h>
#include <rtabmap/utilite/UStl.h>
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#include <pcl/filters/filter.h>
#include <pcl/io/ply_io.h>
#include <pcl/io/obj_io.h>
#include <pcl/common/common.h>
#include <pcl/surface/poisson.h>
#include <stdio.h>
using namespace rtabmap;
void showUsage()
{
printf("\nUsage:\n"
"rtabmap-exportCloud [options] database.db\n"
"Options:\n"
" --mesh Create a mesh.\n"
" --texture Create a mesh with texture.\n"
" --texture_size # Texture size (default 4096).\n"
" --texture_count # Maximum textures generated (default 1).\n"
" --texture_range # Maximum camera range for texturing a polygon (default 0 meters: no limit).\n"
" --ba Do global bundle adjustment before assembling the clouds.\n"
" --no_gain Disable gain compensation when texturing.\n"
" --no_blending Disable blending when texturing.\n"
" --no_clean Disable cleaning colorless polygons.\n"
" --multiband Enable multiband texturing (AliceVision dependency required).\n"
" --poisson_depth # Set Poisson depth for mesh reconstruction.\n"
" --max_polygons # Maximum polygons when creating a mesh (default 500000, set 0 for no limit).\n"
" --max_range # Maximum range of the created clouds (default 4 m).\n"
" --decimation # Depth image decimation before creating the clouds (default 4).\n"
" --voxel # Voxel size of the created clouds (default 0.01 m).\n"
" --color_radius # Radius used to colorize polygons (default 0.05 m, set 0 for nearest color).\n"
"\n%s", Parameters::showUsage());
;
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exit(1);
}
int main(int argc, char * argv[])
{
ULogger::setType(ULogger::kTypeConsole);
ULogger::setLevel(ULogger::kError);
if(argc < 2)
{
showUsage();
}
bool mesh = false;
bool texture = false;
bool ba = false;
bool doGainCompensation = true;
bool doBlending = true;
bool doClean = true;
int poissonDepth = 0;
int maxPolygons = 500000;
int decimation = 4;
float maxRange = 4.0f;
float voxelSize = 0.01f;
int textureSize = 4096;
int textureCount = 8;
int textureRange = 0;
bool multiband = false;
float colorRadius = 0.05;
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for(int i=1; i<argc-1; ++i)
{
if(std::strcmp(argv[i], "--help") == 0)
{
showUsage();
}
else if(std::strcmp(argv[i], "--mesh") == 0)
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{
mesh = true;
}
else if(std::strcmp(argv[i], "--texture") == 0)
{
texture = true;
}
else if(std::strcmp(argv[i], "--texture_size") == 0)
{
++i;
if(i<argc-1)
{
textureSize = uStr2Int(argv[i]);
UASSERT(textureSize%256==0);
}
else
{
showUsage();
}
}
else if(std::strcmp(argv[i], "--texture_count") == 0)
{
++i;
if(i<argc-1)
{
textureCount = uStr2Int(argv[i]);
}
else
{
showUsage();
}
}
else if(std::strcmp(argv[i], "--texture_range") == 0)
{
++i;
if(i<argc-1)
{
textureRange = uStr2Int(argv[i]);
}
else
{
showUsage();
}
}
else if(std::strcmp(argv[i], "--ba") == 0)
{
ba = true;
}
else if(std::strcmp(argv[i], "--no_gain") == 0)
{
doGainCompensation = false;
}
else if(std::strcmp(argv[i], "--no_blending") == 0)
{
doBlending = false;
}
else if(std::strcmp(argv[i], "--no_clean") == 0)
{
doClean = false;
}
else if(std::strcmp(argv[i], "--multiband") == 0)
{
#ifdef RTABMAP_ALICE_VISION
multiband = true;
#else
printf("\"--multiband\" option cannot be used vecause RTAB-Map is not built with AliceVision support. Ignoring multiband...\n");
#endif
}
else if(std::strcmp(argv[i], "--poisson_depth") == 0)
{
++i;
if(i<argc-1)
{
poissonDepth = uStr2Int(argv[i]);
}
else
{
showUsage();
}
}
else if(std::strcmp(argv[i], "--max_polygons") == 0)
{
++i;
if(i<argc-1)
{
maxPolygons = uStr2Int(argv[i]);
}
else
{
showUsage();
}
}
else if(std::strcmp(argv[i], "--max_range") == 0)
{
++i;
if(i<argc-1)
{
maxRange = uStr2Float(argv[i]);
}
else
{
showUsage();
}
}
else if(std::strcmp(argv[i], "--decimation") == 0)
{
++i;
if(i<argc-1)
{
decimation = uStr2Int(argv[i]);
}
else
{
showUsage();
}
}
else if(std::strcmp(argv[i], "--voxel") == 0)
{
++i;
if(i<argc-1)
{
voxelSize = uStr2Float(argv[i]);
}
else
{
showUsage();
}
}
else if(std::strcmp(argv[i], "--color_radius") == 0)
{
++i;
if(i<argc-1)
{
colorRadius = uStr2Float(argv[i]);
}
else
{
showUsage();
}
}
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}
ParametersMap params = Parameters::parseArguments(argc, argv, false);
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std::string dbPath = argv[argc-1];
// Get parameters
ParametersMap parameters;
DBDriver * driver = DBDriver::create();
if(driver->openConnection(dbPath))
{
parameters = driver->getLastParameters();
driver->closeConnection(false);
}
else
{
UERROR("Cannot open database %s!", dbPath.c_str());
return -1;
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}
delete driver;
for(ParametersMap::iterator iter=params.begin(); iter!=params.end(); ++iter)
{
printf("Added custom parameter %s=%s\n",iter->first.c_str(), iter->second.c_str());
}
UTimer timer;
printf("Loading database \"%s\"...\n", dbPath.c_str());
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// Get the global optimized map
Rtabmap rtabmap;
uInsert(parameters, params);
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rtabmap.init(parameters, dbPath);
printf("Loading database \"%s\"... done (%fs).\n", dbPath.c_str(), timer.ticks());
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std::map<int, Signature> nodes;
std::map<int, Transform> optimizedPoses;
std::multimap<int, Link> links;
printf("Optimizing the map...\n");
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rtabmap.get3DMap(nodes, optimizedPoses, links, true, true);
printf("Optimizing the map... done (%fs).\n", timer.ticks());
std::string outputDirectory = UDirectory::getDir(dbPath);
std::string baseName = uSplit(UFile::getName(dbPath), '.').front();
if(ba)
{
printf("Global bundle adjustment...\n");
OptimizerG2O g2o(parameters);
std::map<int, cv::Point3f> points3DMap;
std::map<int, std::map<int, FeatureBA> > wordReferences;
g2o.computeBACorrespondences(optimizedPoses, links, nodes, points3DMap, wordReferences, true);
std::map<int, rtabmap::CameraModel> cameraSingleModels;
for(std::map<int, Transform>::iterator iter=optimizedPoses.lower_bound(1); iter!=optimizedPoses.end(); ++iter)
{
Signature node = nodes.find(iter->first)->second;
UASSERT(node.sensorData().cameraModels().size()==1);
cameraSingleModels.insert(std::make_pair(iter->first, node.sensorData().cameraModels().front()));
}
optimizedPoses = g2o.optimizeBA(optimizedPoses.begin()->first, optimizedPoses, links, cameraSingleModels, points3DMap, wordReferences);
printf("Global bundle adjustment... done (%fs).\n", timer.ticks());
}
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// Construct the cloud
printf("Create and assemble the clouds...\n");
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pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr mergedClouds(new pcl::PointCloud<pcl::PointXYZRGBNormal>);
std::map<int, rtabmap::Transform> cameraPoses;
std::map<int, std::vector<rtabmap::CameraModel> > cameraModels;
std::map<int, cv::Mat> cameraDepths;
for(std::map<int, Transform>::iterator iter=optimizedPoses.lower_bound(1); iter!=optimizedPoses.end(); ++iter)
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{
Signature node = nodes.find(iter->first)->second;
// uncompress data
node.sensorData().uncompressData();
std::vector<CameraModel> models = node.sensorData().cameraModels();
cv::Mat depth = node.sensorData().depthRaw();
pcl::IndicesPtr indices(new std::vector<int>);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud = util3d::cloudRGBFromSensorData(
node.sensorData(),
decimation, // image decimation before creating the clouds
maxRange, // maximum depth of the cloud
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0.0f,
indices.get());
pcl::PointCloud<pcl::PointXYZRGB>::Ptr transformedCloud(new pcl::PointCloud<pcl::PointXYZRGB>);
transformedCloud = rtabmap::util3d::voxelize(cloud, indices, voxelSize);
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transformedCloud = rtabmap::util3d::transformPointCloud(transformedCloud, iter->second);
Eigen::Vector3f viewpoint( iter->second.x(), iter->second.y(), iter->second.z());
pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeNormals(transformedCloud, 10, 0.0f, viewpoint);
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr cloudWithNormals(new pcl::PointCloud<pcl::PointXYZRGBNormal>);
pcl::concatenateFields(*transformedCloud, *normals, *cloudWithNormals);
if(mergedClouds->size() == 0)
{
*mergedClouds = *cloudWithNormals;
}
else
{
*mergedClouds += *cloudWithNormals;
}
cameraPoses.insert(std::make_pair(iter->first, iter->second));
if(!models.empty())
{
cameraModels.insert(std::make_pair(iter->first, models));
}
if(!depth.empty())
{
cameraDepths.insert(std::make_pair(iter->first, depth));
}
}
printf("Create and assemble the clouds... done (%fs, %d points).\n", timer.ticks(), (int)mergedClouds->size());
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if(mergedClouds->size())
{
if(!(mesh || texture))
{
printf("Voxel grid filtering of the assembled cloud (voxel=%f, %d points)\n", 0.01f, (int)mergedClouds->size());
mergedClouds = util3d::voxelize(mergedClouds, voxelSize);
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std::string outputPath=outputDirectory+"/"+baseName+"_cloud.ply";
printf("Saving %s... (%d points)\n", outputPath.c_str(), (int)mergedClouds->size());
pcl::io::savePLYFile(outputPath, *mergedClouds);
printf("Saving %s... done!\n", outputPath.c_str());
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}
else
{
Eigen::Vector4f min,max;
pcl::getMinMax3D(*mergedClouds, min, max);
float mapLength = uMax3(max[0]-min[0], max[1]-min[1], max[2]-min[2]);
int optimizedDepth = 12;
for(int i=6; i<12; ++i)
{
if(mapLength/float(1<<i) < 0.03f)
{
optimizedDepth = i;
break;
}
}
if(poissonDepth>0)
{
optimizedDepth = poissonDepth;
}
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// Mesh reconstruction
printf("Mesh reconstruction... depth=%d\n", optimizedDepth);
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pcl::PolygonMesh::Ptr mesh(new pcl::PolygonMesh);
pcl::Poisson<pcl::PointXYZRGBNormal> poisson;
poisson.setDepth(optimizedDepth);
poisson.setInputCloud(mergedClouds);
poisson.reconstruct(*mesh);
printf("Mesh reconstruction... done (%fs, %d polygons).\n", timer.ticks(), (int)mesh->polygons.size());
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if(mesh->polygons.size())
{
rtabmap::util3d::denseMeshPostProcessing<pcl::PointXYZRGBNormal>(
mesh,
0.0f,
maxPolygons,
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mergedClouds,
colorRadius,
!texture,
doClean,
200);
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if(!texture)
{
std::string outputPath=outputDirectory+"/"+baseName+"_mesh.ply";
printf("Saving %s...\n", outputPath.c_str());
pcl::io::savePLYFile(outputPath, *mesh);
printf("Saving %s... done!\n", outputPath.c_str());
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}
else
{
printf("Texturing %d polygons... cameraPoses=%d, cameraDepths=%d\n", (int)mesh->polygons.size(), (int)cameraPoses.size(), (int)cameraDepths.size());
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std::vector<std::map<int, pcl::PointXY> > vertexToPixels;
pcl::TextureMeshPtr textureMesh = rtabmap::util3d::createTextureMesh(
mesh,
cameraPoses,
cameraModels,
cameraDepths,
textureRange,
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0.0f,
0.0f,
multiband?0:50, // Min polygons in camera view to be textured by this camera
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std::vector<float>(),
0,
&vertexToPixels);
printf("Texturing... done (%fs).\n", timer.ticks());
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// Remove occluded polygons (polygons with no texture)
if(doClean && textureMesh->tex_coordinates.size())
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{
printf("Cleanup mesh...\n");
rtabmap::util3d::cleanTextureMesh(*textureMesh, 100); // Min polygons in a cluster to keep them
printf("Cleanup mesh... done (%fs).\n", timer.ticks());
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}
if(textureMesh->tex_materials.size())
{
if(multiband)
{
printf("Merging %d texture(s) to single one (multiband enabled)...\n", (int)textureMesh->tex_materials.size());
}
else
{
printf("Merging %d texture(s)... (%d max textures)\n", (int)textureMesh->tex_materials.size(), textureCount);
}
std::map<int, std::map<int, cv::Vec4d> > gains;
std::map<int, std::map<int, cv::Mat> > blendingGains;
std::pair<float, float> contrastValues(0,0);
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cv::Mat textures = rtabmap::util3d::mergeTextures(
*textureMesh,
std::map<int, cv::Mat>(),
std::map<int, std::vector<rtabmap::CameraModel> >(),
rtabmap.getMemory(),
0,
textureSize,
multiband?1:textureCount, // to get contrast values based on all images in multiband mode
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vertexToPixels,
doGainCompensation, 1.0f, true,
doBlending, 0,
0, 10, // low-high brightness/contrast balance
false, // exposure fusion
0, // state
0, // blank value (0=black)
&gains,
&blendingGains,
&contrastValues);
printf("Merging to %d texture(s)... done (%fs).\n", (int)textureMesh->tex_materials.size(), timer.ticks());
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// TextureMesh OBJ
bool success = false;
UASSERT(!textures.empty());
for(size_t i=0; i<textureMesh->tex_materials.size(); ++i)
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{
textureMesh->tex_materials[i].tex_file += ".jpg";
printf("Saving texture to %s.\n", textureMesh->tex_materials[i].tex_file.c_str());
UASSERT(textures.cols % textures.rows == 0);
success = cv::imwrite(textureMesh->tex_materials[i].tex_file, cv::Mat(textures, cv::Range::all(), cv::Range(textures.rows*i, textures.rows*(i+1))));
if(!success)
{
UERROR("Failed saving %s!", textureMesh->tex_materials[i].tex_file.c_str());
}
else
{
printf("Saved %s.\n", textureMesh->tex_materials[i].tex_file.c_str());
}
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}
if(success)
{
std::string outputPath=outputDirectory+"/"+baseName+"_mesh.obj";
printf("Saving obj (%d vertices) to %s.\n", (int)textureMesh->cloud.data.size()/textureMesh->cloud.point_step, outputPath.c_str());
success = pcl::io::saveOBJFile(outputPath, *textureMesh) == 0;
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if(success)
{
printf("Saved obj to %s!\n", outputPath.c_str());
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}
else
{
UERROR("Failed saving obj to %s!", outputPath.c_str());
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}
}
if(multiband)
{
timer.restart();
std::string outputPath=outputDirectory+"/"+baseName+"_mesh_multiband.obj";
printf("MultiBand texturing... \"%s\"\n", outputPath.c_str());
if(util3d::multiBandTexturing(outputPath,
textureMesh->cloud,
textureMesh->tex_polygons[0],
cameraPoses,
vertexToPixels,
std::map<int, cv::Mat >(),
std::map<int, std::vector<CameraModel> >(),
rtabmap.getMemory(),
0,
textureSize,
"jpg",
gains,
blendingGains,
contrastValues))
{
printf("MultiBand texturing...done (%fs).\n", timer.ticks());
}
else
{
printf("MultiBand texturing...failed! (%fs)\n", timer.ticks());
}
}
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}
}
}
}
}
else
{
printf("Export failed! The cloud is empty.\n");
}
return 0;
}