Coloring scan (camera projection on point cloud) (#693)

* ExportClouds: Added camera projection options

* ExportClouds: fixed ceiling/floor filtering options not saved in config

* ExportClouds: fixed colorless scan points still exported when option is unchecked.

* Export tool: added --bin, --poses, --images, --las and --cam_projection options; export with intensity with --scan option. PDALWriter: added binary option (only used for PLY an PCD formats). Rtabmap: Do graph optimization if neighbor link refined and Mem/UseOdomGravity is used.
This commit is contained in:
matlabbe
2021-03-01 09:56:37 -05:00
committed by GitHub
parent 967c57d165
commit d119487dd7
9 changed files with 1334 additions and 192 deletions

View File

@@ -31,7 +31,9 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <rtabmap/core/util3d_filtering.h>
#include <rtabmap/core/util3d_transforms.h>
#include <rtabmap/core/util3d_surface.h>
#include <rtabmap/core/util2d.h>
#include <rtabmap/core/optimizer/OptimizerG2O.h>
#include <rtabmap/core/Graph.h>
#include <rtabmap/utilite/UMath.h>
#include <rtabmap/utilite/UTimer.h>
#include <rtabmap/utilite/UFile.h>
@@ -43,19 +45,28 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <pcl/surface/poisson.h>
#include <stdio.h>
#ifdef RTABMAP_PDAL
#include <rtabmap/core/PDALWriter.h>
#endif
using namespace rtabmap;
void showUsage()
{
printf("\nUsage:\n"
"rtabmap-exportCloud [options] database.db\n"
"rtabmap-export [options] database.db\n"
"Options:\n"
" --bin Export PLY in binary format.\n"
" --las Export cloud in LAS instead of PLY (PDAL dependency required).\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"
" --texture_d2c Distance to camera policy.\n"
" --cam_projection Camera projection on assembled cloud and export node ID on each point (in PointSourceId field).\n"
" --poses Export optimized poses in RGB-D SLAM dataset format (stamp x y z qx qy qz qw).\n"
" --images Export images.\n"
" --ba Do global bundle adjustment before assembling the clouds.\n"
" --gain # Gain compensation value (default 1, set 0 to disable).\n"
" --gain_gray Do gain estimation compensation on gray channel only (default RGB channels).\n"
@@ -87,6 +98,8 @@ int main(int argc, char * argv[])
showUsage();
}
bool binary = false;
bool las = false;
bool mesh = false;
bool texture = false;
bool ba = false;
@@ -109,12 +122,28 @@ int main(int argc, char * argv[])
bool saveInDb = false;
int lowBrightnessGain = 0;
int highBrightnessGain = 10;
bool camProjection = false;
bool exportPoses = false;
bool exportImages = false;
for(int i=1; i<argc; ++i)
{
if(std::strcmp(argv[i], "--help") == 0)
{
showUsage();
}
else if(std::strcmp(argv[i], "--bin") == 0)
{
binary = true;
}
else if(std::strcmp(argv[i], "--las") == 0)
{
#ifdef RTABMAP_PDAL
las = true;
#else
printf("\"--las\" option cannot be used because RTAB-Map is not built with PDAL support. Will export in PLY...\n");
#endif
}
else if(std::strcmp(argv[i], "--mesh") == 0)
{
mesh = true;
@@ -164,6 +193,18 @@ int main(int argc, char * argv[])
{
distanceToCamPolicy = true;
}
else if(std::strcmp(argv[i], "--cam_projection") == 0)
{
camProjection = true;
}
else if(std::strcmp(argv[i], "--poses") == 0)
{
exportPoses = true;
}
else if(std::strcmp(argv[i], "--images") == 0)
{
exportImages = true;
}
else if(std::strcmp(argv[i], "--ba") == 0)
{
ba = true;
@@ -409,35 +450,45 @@ int main(int argc, char * argv[])
// Construct the cloud
printf("Create and assemble the clouds...\n");
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr mergedClouds(new pcl::PointCloud<pcl::PointXYZRGBNormal>);
pcl::PointCloud<pcl::PointXYZINormal>::Ptr mergedCloudsI(new pcl::PointCloud<pcl::PointXYZINormal>);
std::map<int, rtabmap::Transform> cameraPoses;
std::map<int, double> cameraStamps;
std::map<int, std::vector<rtabmap::CameraModel> > cameraModels;
std::map<int, cv::Mat> cameraDepths;
int imagesExported = 0;
for(std::map<int, Transform>::iterator iter=optimizedPoses.lower_bound(1); iter!=optimizedPoses.end(); ++iter)
{
Signature node = nodes.find(iter->first)->second;
// uncompress data
std::vector<CameraModel> models = node.sensorData().cameraModels();
cv::Mat rgb;
cv::Mat depth;
pcl::IndicesPtr indices(new std::vector<int>);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud;
pcl::PointCloud<pcl::PointXYZI>::Ptr cloudI;
if(cloudFromScan)
{
cv::Mat tmpDepth;
LaserScan scan;
node.sensorData().uncompressData(0, texture&&!node.sensorData().depthOrRightCompressed().empty()?&tmpDepth:0, &scan);
node.sensorData().uncompressData(exportImages?&rgb:0, (texture||exportImages)&&!node.sensorData().depthOrRightCompressed().empty()?&tmpDepth:0, &scan);
if(decimation>1 || maxRange)
{
scan = util3d::commonFiltering(scan, decimation, 0, maxRange);
}
cloud = util3d::laserScanToPointCloudRGB(scan, scan.localTransform());
if(scan.hasRGB())
{
cloud = util3d::laserScanToPointCloudRGB(scan, scan.localTransform());
}
else
{
cloudI = util3d::laserScanToPointCloudI(scan, scan.localTransform());
}
}
else
{
cv::Mat tmpRGB;
node.sensorData().uncompressData(&tmpRGB, &depth);
node.sensorData().uncompressData(&rgb, &depth);
cloud = util3d::cloudRGBFromSensorData(
node.sensorData(),
decimation, // image decimation before creating the clouds
@@ -445,11 +496,55 @@ int main(int argc, char * argv[])
0.0f,
indices.get());
}
if(exportImages && !rgb.empty())
{
std::string dirSuffix = (depth.type() != CV_16UC1 && depth.type() != CV_32FC1)?"rgb":"left";
std::string dir = outputDirectory+"/"+baseName+"_"+dirSuffix;
UDirectory::makeDir(dir);
std::string outputPath=dir+"/"+uNumber2Str(iter->first)+".jpg";
cv::imwrite(outputPath, rgb);
++imagesExported;
if(!depth.empty())
{
std::string ext;
cv::Mat depthExported = depth;
if(depth.type() != CV_16UC1 && depth.type() != CV_32FC1)
{
ext = ".jpg";
dir = outputDirectory+"/"+baseName+"_right";
}
else
{
ext = ".png";
dir = outputDirectory+"/"+baseName+"_depth";
if(depth.type() == CV_32FC1)
{
depthExported = rtabmap::util2d::cvtDepthFromFloat(depth);
}
}
if(!UDirectory::exists(dir))
{
UDirectory::makeDir(dir);
}
outputPath=dir+"/"+uNumber2Str(iter->first)+ext;
cv::imwrite(outputPath, depthExported);
}
}
if(voxelSize>0.0f)
{
cloud = rtabmap::util3d::voxelize(cloud, indices, voxelSize);
if(cloud.get() && !cloud->empty())
cloud = rtabmap::util3d::voxelize(cloud, indices, voxelSize);
else if(cloudI.get() && !cloudI->empty())
cloudI = rtabmap::util3d::voxelize(cloudI, indices, voxelSize);
}
cloud = rtabmap::util3d::transformPointCloud(cloud, iter->second);
if(cloud.get() && !cloud->empty())
cloud = rtabmap::util3d::transformPointCloud(cloud, iter->second);
else if(cloudI.get() && !cloudI->empty())
cloudI = rtabmap::util3d::transformPointCloud(cloudI, iter->second);
Eigen::Vector3f viewpoint(iter->second.x(), iter->second.y(), iter->second.z());
if(cloudFromScan)
@@ -457,21 +552,37 @@ int main(int argc, char * argv[])
Transform lidarViewpoint = iter->second * node.sensorData().laserScanRaw().localTransform();
viewpoint = Eigen::Vector3f(iter->second.x(), iter->second.y(), iter->second.z());
}
pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeNormals(cloud, 20, 0.0f, viewpoint);
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr cloudWithNormals(new pcl::PointCloud<pcl::PointXYZRGBNormal>);
pcl::concatenateFields(*cloud, *normals, *cloudWithNormals);
if(mergedClouds->size() == 0)
if(cloud.get() && !cloud->empty())
{
*mergedClouds = *cloudWithNormals;
pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeNormals(cloud, 20, 0.0f, viewpoint);
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr cloudWithNormals(new pcl::PointCloud<pcl::PointXYZRGBNormal>);
pcl::concatenateFields(*cloud, *normals, *cloudWithNormals);
if(mergedClouds->size() == 0)
{
*mergedClouds = *cloudWithNormals;
}
else
{
*mergedClouds += *cloudWithNormals;
}
}
else
else if(cloudI.get() && !cloudI->empty())
{
*mergedClouds += *cloudWithNormals;
pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeNormals(cloudI, 20, 0.0f, viewpoint);
pcl::PointCloud<pcl::PointXYZINormal>::Ptr cloudIWithNormals(new pcl::PointCloud<pcl::PointXYZINormal>);
pcl::concatenateFields(*cloudI, *normals, *cloudIWithNormals);
if(mergedCloudsI->size() == 0)
{
*mergedCloudsI = *cloudIWithNormals;
}
else
{
*mergedCloudsI += *cloudIWithNormals;
}
}
cameraPoses.insert(std::make_pair(iter->first, iter->second));
cameraStamps.insert(std::make_pair(iter->first, node.getStamp()));
if(!models.empty())
{
cameraModels.insert(std::make_pair(iter->first, models));
@@ -481,9 +592,12 @@ int main(int argc, char * argv[])
cameraDepths.insert(std::make_pair(iter->first, depth));
}
}
printf("Create and assemble the clouds... done (%fs, %d points).\n", timer.ticks(), (int)mergedClouds->size());
printf("Create and assemble the clouds... done (%fs, %d points).\n", timer.ticks(), !mergedClouds->empty()?(int)mergedClouds->size():(int)mergedCloudsI->size());
if(mergedClouds->size())
if(imagesExported>0)
printf("%d images exported!\n", imagesExported);
if(!mergedClouds->empty() || !mergedCloudsI->empty())
{
if(saveInDb)
{
@@ -495,31 +609,180 @@ int main(int argc, char * argv[])
driver->save2DMap(cv::Mat(), 0, 0, 0);
driver->saveOptimizedPoses(optimizedPoses, lastlocalizationPose);
}
if(!(mesh || texture))
else if(exportPoses)
{
if(voxelSize>0.0f)
std::string outputPath=outputDirectory+"/"+baseName+"_poses.txt";
rtabmap::graph::exportPoses(outputPath, 10, cameraPoses, std::multimap<int, Link>(), cameraStamps);
printf("Poses exported to \"%s\".\n", outputPath.c_str());
}
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr cloudToExport = mergedClouds;
pcl::PointCloud<pcl::PointXYZINormal>::Ptr cloudIToExport = mergedCloudsI;
if(voxelSize>0.0f)
{
printf("Voxel grid filtering of the assembled cloud... (voxel=%f, %d points)\n", voxelSize, !cloudToExport->empty()?(int)cloudToExport->size():(int)cloudIToExport->size());
if(!cloudToExport->empty())
{
printf("Voxel grid filtering of the assembled cloud (voxel=%f, %d points)\n", voxelSize, (int)mergedClouds->size());
mergedClouds = util3d::voxelize(mergedClouds, voxelSize);
cloudToExport = util3d::voxelize(cloudToExport, voxelSize);
}
else if(!cloudIToExport->empty())
{
cloudIToExport = util3d::voxelize(cloudIToExport, voxelSize);
}
printf("Voxel grid filtering of the assembled cloud.... done! (%fs, %d points)\n", timer.ticks(), !cloudToExport->empty()?(int)cloudToExport->size():(int)cloudIToExport->size());
}
std::vector<int> pointToCamId;
if(camProjection && !cameraPoses.empty())
{
printf("Camera projection...\n");
pointToCamId.resize(!cloudToExport->empty()?cloudToExport->size():cloudIToExport->size());
std::vector<std::pair< std::pair<int, int>, pcl::PointXY> > pointToPixel;
if(!cloudToExport->empty())
{
pointToPixel = util3d::projectCloudToCameras(
*cloudToExport,
cameraPoses,
cameraModels,
textureRange,
0,
std::vector<float>(),
distanceToCamPolicy);
}
else if(!cloudIToExport->empty())
{
pointToPixel = util3d::projectCloudToCameras(
*cloudIToExport,
cameraPoses,
cameraModels,
textureRange,
0,
std::vector<float>(),
distanceToCamPolicy);
}
if(saveInDb)
// color the cloud
UASSERT(pointToPixel.empty() || pointToPixel.size() == pointToCamId.size());
std::map<int, cv::Mat> cachedImages;
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr assembledCloudValidPoints(new pcl::PointCloud<pcl::PointXYZRGBNormal>());
assembledCloudValidPoints->resize(pointToCamId.size());
int oi=0;
for(size_t i=0; i<pointToPixel.size(); ++i)
{
printf("Saving in db... (%d points)\n", (int)mergedClouds->size());
driver->saveOptimizedMesh(util3d::laserScanFromPointCloud(*mergedClouds, Transform(), false).data());
printf("Saving in db... done!\n");
pcl::PointXYZRGBNormal pt;
if(!cloudToExport->empty())
{
pt = cloudToExport->at(i);
}
else if(!cloudIToExport->empty())
{
pt.x = cloudIToExport->at(i).x;
pt.y = cloudIToExport->at(i).y;
pt.z = cloudIToExport->at(i).z;
pt.normal_x = cloudIToExport->at(i).normal_x;
pt.normal_y = cloudIToExport->at(i).normal_y;
pt.normal_z = cloudIToExport->at(i).normal_z;
}
int nodeID = pointToPixel[i].first.first;
int cameraIndex = pointToPixel[i].first.second;
if(nodeID>0 && cameraIndex>=0)
{
cv::Mat image;
if(uContains(cachedImages, nodeID))
{
image = cachedImages.at(nodeID);
}
else if(uContains(nodes,nodeID) && !nodes.at(nodeID).sensorData().imageCompressed().empty())
{
nodes.at(nodeID).sensorData().uncompressDataConst(&image, 0);
cachedImages.insert(std::make_pair(nodeID, image));
}
if(!image.empty())
{
int subImageWidth = image.cols / cameraModels.at(nodeID).size();
image = image(cv::Range::all(), cv::Range(cameraIndex*subImageWidth, (cameraIndex+1)*subImageWidth));
int x = pointToPixel[i].second.x * (float)image.cols;
int y = pointToPixel[i].second.y * (float)image.rows;
UASSERT(x>=0 && x<image.cols);
UASSERT(y>=0 && y<image.rows);
if(image.type()==CV_8UC3)
{
cv::Vec3b bgr = image.at<cv::Vec3b>(y, x);
pt.b = bgr[0];
pt.g = bgr[1];
pt.r = bgr[2];
}
else
{
UASSERT(image.type()==CV_8UC1);
pt.r = pt.g = pt.b = image.at<unsigned char>(pointToPixel[i].second.y * image.rows, pointToPixel[i].second.x * image.cols);
}
}
int exportedId = nodeID;
pointToCamId[oi] = exportedId;
assembledCloudValidPoints->at(oi++) = pt;
}
}
else
assembledCloudValidPoints->resize(oi);
cloudToExport = assembledCloudValidPoints;
cloudIToExport->clear();
pointToCamId.resize(oi);
printf("Camera projection... done! (%fs)\n", timer.ticks());
}
if(saveInDb)
{
if(!(mesh || texture))
{
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());
printf("Saving in db... (%d points)\n", !cloudToExport->empty()?(int)cloudToExport->size():(int)cloudIToExport->size());
if(!cloudToExport->empty())
driver->saveOptimizedMesh(util3d::laserScanFromPointCloud(*cloudToExport, Transform(), false).data());
else if(!cloudIToExport->empty())
driver->saveOptimizedMesh(util3d::laserScanFromPointCloud(*cloudIToExport, Transform(), false).data());
printf("Saving in db... done!\n");
}
}
else
{
std::string ext = las?"las":"ply";
std::string outputPath=outputDirectory+"/"+baseName+"_cloud."+ext;
printf("Saving %s... (%d points)\n", outputPath.c_str(), !cloudToExport->empty()?(int)cloudToExport->size():(int)cloudIToExport->size());
#ifdef RTABMAP_PDAL
if(!cloudToExport->empty())
savePDALFile(outputPath, *cloudToExport, pointToCamId, binary);
else if(!cloudIToExport->empty())
savePDALFile(outputPath, *cloudIToExport, pointToCamId, binary);
#else
if(!pointToCamId.empty())
{
printf("Option --cam_projection is enabled but rtabmap is not built "
"with PDAL support, so camera IDs won't be exported in the output cloud.\n");
}
if(!cloudToExport->empty())
pcl::io::savePLYFile(outputPath, *cloudToExport, binary);
else if(!cloudIToExport->empty())
pcl::io::savePLYFile(outputPath, *cloudIToExport, binary);
#endif
printf("Saving %s... done!\n", outputPath.c_str());
}
// Meshing...
if(mesh || texture)
{
if(!mergedCloudsI->empty())
{
pcl::copyPointCloud(*mergedCloudsI, *mergedClouds);
mergedCloudsI->clear();
}
Eigen::Vector4f min,max;
pcl::getMinMax3D(*mergedClouds, min, max);
float mapLength = uMax3(max[0]-min[0], max[1]-min[1], max[2]-min[2]);
@@ -574,7 +837,10 @@ int main(int argc, char * argv[])
{
std::string outputPath=outputDirectory+"/"+baseName+"_mesh.ply";
printf("Saving %s...\n", outputPath.c_str());
pcl::io::savePLYFile(outputPath, *mesh);
if(binary)
pcl::io::savePLYFileBinary(outputPath, *mesh);
else
pcl::io::savePLYFile(outputPath, *mesh);
printf("Saving %s... done!\n", outputPath.c_str());
}
}