void
execute (int argc, char** argv, std::string plyfile)
{
PtrStepSz<const unsigned short> depth;
PtrStepSz<const KinfuTracker::PixelRGB> rgb24;
int time_ms = 0;
bool has_image = false;
// Create simulation environment:
int width = 640;
int height = 480;
for (int i=0; i<2048; i++)
{
float v = i/2048.0;
v = powf(v, 3)* 6;
t_gamma[i] = v*6*256;
}
glutInit (&argc, argv);
glutInitDisplayMode (GLUT_DEPTH | GLUT_DOUBLE | GLUT_RGB);// was GLUT_RGBA
glutInitWindowPosition (10, 10);
glutInitWindowSize (10, 10);
//glutInitWindowSize (window_width_, window_height_);
glutCreateWindow ("OpenGL range likelihood");
GLenum err = glewInit ();
if (GLEW_OK != err)
{
std::cerr << "Error: " << glewGetErrorString (err) << std::endl;
exit (-1);
}
std::cout << "Status: Using GLEW " << glewGetString (GLEW_VERSION) << std::endl;
if (glewIsSupported ("GL_VERSION_2_0"))
std::cout << "OpenGL 2.0 supported" << std::endl;
else
{
std::cerr << "Error: OpenGL 2.0 not supported" << std::endl;
exit(1);
}
std::cout << "GL_MAX_VIEWPORTS: " << GL_MAX_VIEWPORTS << std::endl;
camera_ = Camera::Ptr (new Camera ());
scene_ = Scene::Ptr (new Scene ());
range_likelihood_ = RangeLikelihood::Ptr (new RangeLikelihood (1, 1, height, width, scene_));
// Actually corresponds to default parameters:
range_likelihood_->setCameraIntrinsicsParameters (640,480, 576.09757860,
576.09757860, 321.06398107, 242.97676897);
range_likelihood_->setComputeOnCPU (false);
range_likelihood_->setSumOnCPU (true);
range_likelihood_->setUseColor (true);
camera_->set(0.471703, 1.59862, 3.10937, 0, 0.418879, -12.2129);
camera_->set_pitch(0.418879); // not sure why this is here:
cout << "About to read: "<< plyfile << endl;
load_PolygonMesh_model (plyfile);
// Generate a series of poses:
std::vector<Eigen::Isometry3d, Eigen::aligned_allocator<Eigen::Isometry3d> > poses;
Eigen::Vector3d focus_center(0,0,1.3);
// double halo_r = 4.0;
double halo_r = 1.5;
double halo_dz = 1.5; // was 2;
// 20 is too quick when adding noise:
// 50 is ok though
int n_poses=50;
int n_pose_stop = 10;
// above means make a circle of 50 poses, stop after the 10th i.e. 1/5 of a halo ring:
generate_halo(poses,focus_center,halo_r,halo_dz,n_poses);
unsigned short * disparity_buf_ = new unsigned short[width*height ];
const KinfuTracker::PixelRGB* color_buf_;
const uint8_t* color_buf_uint;
// loop though and create the mesh:
for (int i = 0; !exit_; ++i)
{
vector<double> tic_toc;
tic_toc.push_back(getTime());
double tic_main = getTime();
Eigen::Vector3d t(poses[i].translation());
Eigen::Quaterniond r(poses[i].rotation());
std::stringstream ss;
ss << t[0]<<", "<<t[1]<<", "<<t[2]<<" | "
<<r.w()<<", "<<r.x()<<", "<<r.y()<<", "<<r.z() ;
std::cout << i << ": " << ss.str() << " pose_simulatedposition\n";
capture (poses[i],disparity_buf_, color_buf_uint);//,ss.str());
color_buf_ = (const KinfuTracker::PixelRGB*) color_buf_uint;
PtrStepSz<const unsigned short> depth_sim = PtrStepSz<const unsigned short>(height, width, disparity_buf_, 2*width);
//cout << depth_sim.rows << " by " << depth_sim.cols << " | s: " << depth_sim.step << "\n";
// RGB-KinFu currently disabled for now - problems with color in KinFu apparently
// but this constructor might not be right either: not sure about step size
integrate_colors_=false;
PtrStepSz<const KinfuTracker::PixelRGB> rgb24_sim = PtrStepSz<const KinfuTracker::PixelRGB>(height, width, color_buf_, width);
tic_toc.push_back (getTime ());
if (1==0){ // live capture - probably doesnt work anymore, left in here for comparison:
bool has_frame = evaluation_ptr_ ? evaluation_ptr_->grab(i, depth) : capture_.grab (depth, rgb24);
if (!has_frame)
{
cout << "Can't grab" << endl;
break;
}
depth_device_.upload (depth.data, depth.step, depth.rows, depth.cols);
if (integrate_colors_)
image_view_.colors_device_.upload (rgb24.data, rgb24.step, rgb24.rows, rgb24.cols);
{
SampledScopeTime fps(time_ms, i);
//run kinfu algorithm
if (integrate_colors_)
has_image = kinfu_ (depth_device_, image_view_.colors_device_);
else
has_image = kinfu_ (depth_device_);
}
}else{ //simulate:
cout << " color: " << integrate_colors_ << "\n"; // integrate_colors_ seems to be zero
depth_device_.upload (depth_sim.data, depth_sim.step, depth_sim.rows, depth_sim.cols);
if (integrate_colors_){
image_view_.colors_device_.upload (rgb24_sim.data, rgb24_sim.step, rgb24_sim.rows, rgb24_sim.cols);
}
tic_toc.push_back (getTime ());
{
SampledScopeTime fps(time_ms, i);
//run kinfu algorithm
if (integrate_colors_)
has_image = kinfu_ (depth_device_, image_view_.colors_device_);
else
has_image = kinfu_ (depth_device_);
}
}
tic_toc.push_back (getTime ());
Eigen::Affine3f k_aff = kinfu_.getCameraPose();
Eigen::Matrix3f k_m;
k_m =k_aff.rotation();
Eigen::Quaternionf k_r;
k_r = Eigen::Quaternionf(k_m);
std::stringstream ss_k;
ss_k << k_aff(0,3) <<", "<< k_aff(1,3)<<", "<< k_aff(2,3)<<" | "
<<k_r.w()<<", "<<k_r.x()<<", "<<k_r.y()<<", "<<k_r.z() ;
std::cout << i << ": " << ss_k.str() << " pose_kinect\n";
// Everything below this is Visualization or I/O:
if (i >n_pose_stop){
int pause;
cout << "Enter a key to write Mesh file\n";
cin >> pause;
scene_cloud_view_.showMesh(kinfu_, integrate_colors_);
writeMesh(KinFuApp::MESH_VTK);
// writeMesh(KinFuApp::MESH_PLY);
if (scan_)
{
scan_ = false;
scene_cloud_view_.show (kinfu_, integrate_colors_);
if (scan_volume_)
{
// download tsdf volume
{
ScopeTimeT time ("tsdf volume download");
cout << "Downloading TSDF volume from device ... " << flush;
// kinfu_.volume().downloadTsdfAndWeighs (tsdf_volume_.volumeWriteable (), tsdf_volume_.weightsWriteable ());
kinfu_.volume ().downloadTsdfAndWeighsLocal ();
// tsdf_volume_.setHeader (Eigen::Vector3i (pcl::device::VOLUME_X, pcl::device::VOLUME_Y, pcl::device::VOLUME_Z), kinfu_.volume().getSize ());
kinfu_.volume ().setHeader (Eigen::Vector3i (pcl::device::VOLUME_X, pcl::device::VOLUME_Y, pcl::device::VOLUME_Z), kinfu_.volume().getSize ());
// cout << "done [" << tsdf_volume_.size () << " voxels]" << endl << endl;
cout << "done [" << kinfu_.volume ().size () << " voxels]" << endl << endl;
}
{
ScopeTimeT time ("converting");
cout << "Converting volume to TSDF cloud ... " << flush;
// tsdf_volume_.convertToTsdfCloud (tsdf_cloud_ptr_);
kinfu_.volume ().convertToTsdfCloud (tsdf_cloud_ptr_);
cout << "done [" << tsdf_cloud_ptr_->size () << " points]" << endl << endl;
}
}
else
cout << "[!] tsdf volume download is disabled" << endl << endl;
}
if (scan_mesh_)
{
scan_mesh_ = false;
scene_cloud_view_.showMesh(kinfu_, integrate_colors_);
}
if (has_image)
{
Eigen::Affine3f viewer_pose = getViewerPose(scene_cloud_view_.cloud_viewer_);
// image_view_.showScene (kinfu_, rgb24, registration_, independent_camera_ ? &viewer_pose : 0);
image_view_.showScene (kinfu_, rgb24_sim, registration_, independent_camera_ ? &viewer_pose : 0);
}
if (current_frame_cloud_view_)
current_frame_cloud_view_->show (kinfu_);
image_view_.showDepth (depth_sim);
//image_view_.showDepth (depth);
// image_view_.showGeneratedDepth(kinfu_, kinfu_.getCameraPose());
if (!independent_camera_)
setViewerPose (scene_cloud_view_.cloud_viewer_, kinfu_.getCameraPose());
scene_cloud_view_.cloud_viewer_.spinOnce (3);
// As of April 2012, entering a key will end this program...
cout << "Paused after view\n";
cin >> pause;
}
double elapsed = (getTime() -tic_main);
cout << elapsed << " sec elapsed [" << (1/elapsed) << "]\n";
tic_toc.push_back (getTime ());
display_tic_toc (tic_toc, "kinfu_app_sim");
}
int
main (int argc, char** argv)
{
int width = 640;
int height = 480;
window_width_ = width * 2;
window_height_ = height * 2;
int cols = 30;
int rows = 30;
int col_width = 20;
int row_height = 15;
print_info ("Range likelihood performance tests using pcl::simulation. For more information, use: %s -h\n", argv[0]);
if (argc < 2)
{
printHelp (argc, argv);
return (-1);
}
for (int i = 0; i < 2048; ++i)
{
float v = static_cast<float> (i / 2048.0);
v = powf(v, 3)* 6;
t_gamma[i] = static_cast<uint16_t> (v*6*256);
}
glutInit (&argc, argv);
glutInitDisplayMode (GLUT_DEPTH | GLUT_DOUBLE | GLUT_RGB);
glutInitWindowPosition (10, 10);
glutInitWindowSize (window_width_, window_height_);
glutCreateWindow ("OpenGL range likelihood");
GLenum err = glewInit ();
if (GLEW_OK != err)
{
std::cerr << "Error: " << glewGetErrorString (err) << std::endl;
exit (-1);
}
std::cout << "Status: Using GLEW " << glewGetString (GLEW_VERSION) << std::endl;
if (glewIsSupported ("GL_VERSION_2_0"))
std::cout << "OpenGL 2.0 supported" << std::endl;
else
{
std::cerr << "Error: OpenGL 2.0 not supported" << std::endl;
exit (1);
}
std::cout << "GL_MAX_VIEWPORTS: " << GL_MAX_VIEWPORTS << std::endl;
camera_ = Camera::Ptr (new Camera ());
scene_ = Scene::Ptr (new Scene ());
range_likelihood_visualization_ = RangeLikelihood::Ptr (new RangeLikelihood (1, 1, height, width, scene_));
range_likelihood_ = RangeLikelihood::Ptr (new RangeLikelihood (rows, cols, row_height, col_width, scene_));
// Actually corresponds to default parameters:
range_likelihood_visualization_->setCameraIntrinsicsParameters (
640, 480, 576.09757860f, 576.09757860f, 321.06398107f, 242.97676897f);
range_likelihood_visualization_->setComputeOnCPU (false);
range_likelihood_visualization_->setSumOnCPU (false);
range_likelihood_visualization_->setUseColor (true);
range_likelihood_->setCameraIntrinsicsParameters (
640, 480, 576.09757860f, 576.09757860f, 321.06398107f, 242.97676897f);
range_likelihood_->setComputeOnCPU (false);
range_likelihood_->setSumOnCPU (false);
range_likelihood_->setUseColor (false);
textured_quad_ = TexturedQuad::Ptr (new TexturedQuad (range_likelihood_->getWidth (),
range_likelihood_->getHeight ()));
initialize (argc, argv);
glutDisplayFunc (display);
glutIdleFunc (display);
glutKeyboardFunc (on_keyboard);
glutMainLoop ();
}
int
main (int argc, char** argv)
{
srand (time (0));
print_info ("The viewer window provides interactive commands; for help, press 'h' or 'H' from within the window.\n");
if (argc < 2)
{
printHelp (argc, argv);
return (-1);
}
// Command line parsing
double bcolor[3] = {0, 0, 0};
pcl::console::parse_3x_arguments (argc, argv, "-bc", bcolor[0], bcolor[1], bcolor[2]);
std::vector<double> fcolor_r, fcolor_b, fcolor_g;
bool fcolorparam = pcl::console::parse_multiple_3x_arguments (argc, argv, "-fc", fcolor_r, fcolor_g, fcolor_b);
std::vector<int> psize;
pcl::console::parse_multiple_arguments (argc, argv, "-ps", psize);
std::vector<double> opaque;
pcl::console::parse_multiple_arguments (argc, argv, "-opaque", opaque);
int mview = 0;
pcl::console::parse_argument (argc, argv, "-multiview", mview);
int normals = 0;
pcl::console::parse_argument (argc, argv, "-normals", normals);
double normals_scale = NORMALS_SCALE;
pcl::console::parse_argument (argc, argv, "-normals_scale", normals_scale);
int pc = 0;
pcl::console::parse_argument (argc, argv, "-pc", pc);
double pc_scale = PC_SCALE;
pcl::console::parse_argument (argc, argv, "-pc_scale", pc_scale);
// Parse the command line arguments for .pcd files
std::vector<int> p_file_indices = pcl::console::parse_file_extension_argument (argc, argv, ".pcd");
std::vector<int> vtk_file_indices = pcl::console::parse_file_extension_argument (argc, argv, ".vtk");
if (p_file_indices.size () == 0 && vtk_file_indices.size () == 0)
{
print_error ("No .PCD or .VTK file given. Nothing to visualize.\n");
return (-1);
}
// Multiview enabled?
int y_s = 0, x_s = 0;
double x_step = 0, y_step = 0;
if (mview)
{
print_highlight ("Multi-viewport rendering enabled.\n");
if (p_file_indices.size () != 0)
{
y_s = static_cast<int>(floor (sqrt (static_cast<float>(p_file_indices.size ()))));
x_s = y_s + static_cast<int>(ceil ((p_file_indices.size () / static_cast<double>(y_s)) - y_s));
print_highlight ("Preparing to load "); print_value ("%d", p_file_indices.size ());
}
else if (vtk_file_indices.size () != 0)
{
y_s = static_cast<int>(floor (sqrt (static_cast<float>(vtk_file_indices.size ()))));
x_s = y_s + static_cast<int>(ceil ((vtk_file_indices.size () / static_cast<double>(y_s)) - y_s));
print_highlight ("Preparing to load "); print_value ("%d", vtk_file_indices.size ());
}
x_step = static_cast<double>(1.0 / static_cast<double>(x_s));
y_step = static_cast<double>(1.0 / static_cast<double>(y_s));
print_info (" files ("); print_value ("%d", x_s); print_info ("x"); print_value ("%d", y_s);
print_info (" / "); print_value ("%f", x_step); print_info ("x"); print_value ("%f", y_step);
print_info (")\n");
}
// Fix invalid multiple arguments
if (psize.size () != p_file_indices.size () && psize.size () > 0)
for (size_t i = psize.size (); i < p_file_indices.size (); ++i)
psize.push_back (1);
if (opaque.size () != p_file_indices.size () && opaque.size () > 0)
for (size_t i = opaque.size (); i < p_file_indices.size (); ++i)
opaque.push_back (1.0);
// Create the PCLVisualizer object
boost::shared_ptr<pcl::visualization::PCLHistogramVisualizer> ph;
// Using min_p, max_p to set the global Y min/max range for the histogram
float min_p = FLT_MAX; float max_p = -FLT_MAX;
int k = 0, l = 0, viewport = 0;
// Load the data files
pcl::PCDReader pcd;
pcl::console::TicToc tt;
ColorHandlerPtr color_handler;
GeometryHandlerPtr geometry_handler;
// Go through VTK files
for (size_t i = 0; i < vtk_file_indices.size (); ++i)
{
// Load file
tt.tic ();
print_highlight (stderr, "Loading "); print_value (stderr, "%s ", argv[vtk_file_indices.at (i)]);
vtkPolyDataReader* reader = vtkPolyDataReader::New ();
reader->SetFileName (argv[vtk_file_indices.at (i)]);
reader->Update ();
vtkSmartPointer<vtkPolyData> polydata = reader->GetOutput ();
if (!polydata)
return (-1);
print_info ("[done, "); print_value ("%g", tt.toc ()); print_info (" ms : "); print_value ("%d", polydata->GetNumberOfPoints ()); print_info (" points]\n");
// Create the PCLVisualizer object here on the first encountered XYZ file
if (!p)
p.reset (new pcl::visualization::PCLVisualizer (argc, argv, "PCD viewer"));
// Multiview enabled?
if (mview)
{
p->createViewPort (k * x_step, l * y_step, (k + 1) * x_step, (l + 1) * y_step, viewport);
k++;
if (k >= x_s)
{
k = 0;
l++;
}
}
// Add as actor
std::stringstream cloud_name ("vtk-");
cloud_name << argv[vtk_file_indices.at (i)] << "-" << i;
p->addModelFromPolyData (polydata, cloud_name.str (), viewport);
// Change the shape rendered color
if (fcolorparam && fcolor_r.size () > i && fcolor_g.size () > i && fcolor_b.size () > i)
p->setShapeRenderingProperties (pcl::visualization::PCL_VISUALIZER_COLOR, fcolor_r[i], fcolor_g[i], fcolor_b[i], cloud_name.str ());
// Change the shape rendered point size
if (psize.size () > 0)
p->setShapeRenderingProperties (pcl::visualization::PCL_VISUALIZER_POINT_SIZE, psize.at (i), cloud_name.str ());
// Change the shape rendered opacity
if (opaque.size () > 0)
p->setShapeRenderingProperties (pcl::visualization::PCL_VISUALIZER_OPACITY, opaque.at (i), cloud_name.str ());
}
sensor_msgs::PointCloud2::Ptr cloud;
// Go through PCD files
for (size_t i = 0; i < p_file_indices.size (); ++i)
{
cloud.reset (new sensor_msgs::PointCloud2);
Eigen::Vector4f origin;
Eigen::Quaternionf orientation;
int version;
print_highlight (stderr, "Loading "); print_value (stderr, "%s ", argv[p_file_indices.at (i)]);
tt.tic ();
if (pcd.read (argv[p_file_indices.at (i)], *cloud, origin, orientation, version) < 0)
return (-1);
std::stringstream cloud_name;
// ---[ Special check for 1-point multi-dimension histograms
if (cloud->fields.size () == 1 && isMultiDimensionalFeatureField (cloud->fields[0]))
{
cloud_name << argv[p_file_indices.at (i)];
if (!ph)
ph.reset (new pcl::visualization::PCLHistogramVisualizer);
print_info ("[done, "); print_value ("%g", tt.toc ()); print_info (" ms : "); print_value ("%d", cloud->fields[0].count); print_info (" points]\n");
pcl::getMinMax (*cloud, 0, cloud->fields[0].name, min_p, max_p);
ph->addFeatureHistogram (*cloud, cloud->fields[0].name, cloud_name.str ());
continue;
}
cloud_name << argv[p_file_indices.at (i)] << "-" << i;
// Create the PCLVisualizer object here on the first encountered XYZ file
if (!p)
{
p.reset (new pcl::visualization::PCLVisualizer (argc, argv, "PCD viewer"));
p->registerPointPickingCallback (&pp_callback, (void*)&cloud);
Eigen::Matrix3f rotation;
rotation = orientation;
p->setCameraPosition (origin [0] , origin [1] , origin [2],
origin [0] + rotation (0, 2), origin [1] + rotation (1, 2), origin [2] + rotation (2, 2),
rotation (0, 1), rotation (1, 1), rotation (2, 1));
}
// Multiview enabled?
if (mview)
{
p->createViewPort (k * x_step, l * y_step, (k + 1) * x_step, (l + 1) * y_step, viewport);
k++;
if (k >= x_s)
{
k = 0;
l++;
}
}
if (cloud->width * cloud->height == 0)
{
print_error ("[error: no points found!]\n");
return (-1);
}
print_info ("[done, "); print_value ("%g", tt.toc ()); print_info (" ms : "); print_value ("%d", (int)cloud->width * cloud->height); print_info (" points]\n");
print_info ("Available dimensions: "); print_value ("%s\n", pcl::getFieldsList (*cloud).c_str ());
// If no color was given, get random colors
if (fcolorparam)
{
if (fcolor_r.size () > i && fcolor_g.size () > i && fcolor_b.size () > i)
color_handler.reset (new pcl::visualization::PointCloudColorHandlerCustom<sensor_msgs::PointCloud2> (cloud, fcolor_r[i], fcolor_g[i], fcolor_b[i]));
else
color_handler.reset (new pcl::visualization::PointCloudColorHandlerRandom<sensor_msgs::PointCloud2> (cloud));
}
else
color_handler.reset (new pcl::visualization::PointCloudColorHandlerRandom<sensor_msgs::PointCloud2> (cloud));
// Add the dataset with a XYZ and a random handler
geometry_handler.reset (new pcl::visualization::PointCloudGeometryHandlerXYZ<sensor_msgs::PointCloud2> (cloud));
// Add the cloud to the renderer
//p->addPointCloud<pcl::PointXYZ> (cloud_xyz, geometry_handler, color_handler, cloud_name.str (), viewport);
p->addPointCloud (cloud, geometry_handler, color_handler, origin, orientation, cloud_name.str (), viewport);
// If normal lines are enabled
if (normals != 0)
{
int normal_idx = pcl::getFieldIndex (*cloud, "normal_x");
if (normal_idx == -1)
{
print_error ("Normal information requested but not available.\n");
continue;
//return (-1);
}
//
// Convert from blob to pcl::PointCloud
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_xyz (new pcl::PointCloud<pcl::PointXYZ>);
pcl::fromROSMsg (*cloud, *cloud_xyz);
cloud_xyz->sensor_origin_ = origin;
cloud_xyz->sensor_orientation_ = orientation;
pcl::PointCloud<pcl::Normal>::Ptr cloud_normals (new pcl::PointCloud<pcl::Normal>);
pcl::fromROSMsg (*cloud, *cloud_normals);
std::stringstream cloud_name_normals;
cloud_name_normals << argv[p_file_indices.at (i)] << "-" << i << "-normals";
p->addPointCloudNormals<pcl::PointXYZ, pcl::Normal> (cloud_xyz, cloud_normals, normals, normals_scale, cloud_name_normals.str (), viewport);
}
// If principal curvature lines are enabled
if (pc != 0)
{
if (normals == 0)
normals = pc;
int normal_idx = pcl::getFieldIndex (*cloud, "normal_x");
if (normal_idx == -1)
{
print_error ("Normal information requested but not available.\n");
continue;
//return (-1);
}
int pc_idx = pcl::getFieldIndex (*cloud, "principal_curvature_x");
if (pc_idx == -1)
{
print_error ("Principal Curvature information requested but not available.\n");
continue;
//return (-1);
}
//
// Convert from blob to pcl::PointCloud
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_xyz (new pcl::PointCloud<pcl::PointXYZ>);
pcl::fromROSMsg (*cloud, *cloud_xyz);
cloud_xyz->sensor_origin_ = origin;
cloud_xyz->sensor_orientation_ = orientation;
pcl::PointCloud<pcl::Normal>::Ptr cloud_normals (new pcl::PointCloud<pcl::Normal>);
pcl::fromROSMsg (*cloud, *cloud_normals);
pcl::PointCloud<pcl::PrincipalCurvatures>::Ptr cloud_pc (new pcl::PointCloud<pcl::PrincipalCurvatures>);
pcl::fromROSMsg (*cloud, *cloud_pc);
std::stringstream cloud_name_normals_pc;
cloud_name_normals_pc << argv[p_file_indices.at (i)] << "-" << i << "-normals";
int factor = (std::min)(normals, pc);
p->addPointCloudNormals<pcl::PointXYZ, pcl::Normal> (cloud_xyz, cloud_normals, factor, normals_scale, cloud_name_normals_pc.str (), viewport);
p->setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_COLOR, 1.0, 0.0, 0.0, cloud_name_normals_pc.str ());
p->setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_LINE_WIDTH, 3, cloud_name_normals_pc.str ());
cloud_name_normals_pc << "-pc";
p->addPointCloudPrincipalCurvatures (cloud_xyz, cloud_normals, cloud_pc, factor, pc_scale, cloud_name_normals_pc.str (), viewport);
p->setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_LINE_WIDTH, 3, cloud_name_normals_pc.str ());
}
// Add every dimension as a possible color
if (!fcolorparam)
{
for (size_t f = 0; f < cloud->fields.size (); ++f)
{
if (cloud->fields[f].name == "rgb" || cloud->fields[f].name == "rgba")
color_handler.reset (new pcl::visualization::PointCloudColorHandlerRGBField<sensor_msgs::PointCloud2> (cloud));
else
{
if (!isValidFieldName (cloud->fields[f].name))
continue;
color_handler.reset (new pcl::visualization::PointCloudColorHandlerGenericField<sensor_msgs::PointCloud2> (cloud, cloud->fields[f].name));
}
// Add the cloud to the renderer
//p->addPointCloud<pcl::PointXYZ> (cloud_xyz, color_handler, cloud_name.str (), viewport);
p->addPointCloud (cloud, color_handler, origin, orientation, cloud_name.str (), viewport);
}
}
// Additionally, add normals as a handler
geometry_handler.reset (new pcl::visualization::PointCloudGeometryHandlerSurfaceNormal<sensor_msgs::PointCloud2> (cloud));
if (geometry_handler->isCapable ())
//p->addPointCloud<pcl::PointXYZ> (cloud_xyz, geometry_handler, cloud_name.str (), viewport);
p->addPointCloud (cloud, geometry_handler, origin, orientation, cloud_name.str (), viewport);
// Set immediate mode rendering ON
p->setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_IMMEDIATE_RENDERING, 1.0, cloud_name.str ());
// Change the cloud rendered point size
if (psize.size () > 0)
p->setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_POINT_SIZE, psize.at (i), cloud_name.str ());
// Change the cloud rendered opacity
if (opaque.size () > 0)
p->setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_OPACITY, opaque.at (i), cloud_name.str ());
// Reset camera viewpoint to center of cloud if camera parameters were not passed manually and this is the first loaded cloud
//if (i == 0 && !p->cameraParamsSet ())
// p->resetCameraViewpoint (cloud_name.str ());
}
////////////////////////////////////////////////////////////////
// Key binding for saving simulated point cloud:
if (p)
p->registerKeyboardCallback(simulate_callback, (void*)&p);
int width = 640;
int height = 480;
window_width_ = width * 2;
window_height_ = height * 2;
print_info ("Manually generate a simulated RGB-D point cloud using pcl::simulation. For more information, use: %s -h\n", argv[0]);
for (int i=0; i<2048; i++)
{
float v = i/2048.0;
v = powf(v, 3)* 6;
t_gamma[i] = v*6*256;
}
GLenum err = glewInit ();
if (GLEW_OK != err)
{
std::cerr << "Error: " << glewGetErrorString (err) << std::endl;
exit (-1);
}
std::cout << "Status: Using GLEW " << glewGetString (GLEW_VERSION) << std::endl;
if (glewIsSupported ("GL_VERSION_2_0"))
std::cout << "OpenGL 2.0 supported" << std::endl;
else
{
std::cerr << "Error: OpenGL 2.0 not supported" << std::endl;
exit(1);
}
camera_ = Camera::Ptr (new Camera ());
scene_ = Scene::Ptr (new Scene ());
range_likelihood_ = RangeLikelihood::Ptr (new RangeLikelihood(1, 1, height, width, scene_));
// range_likelihood_ = RangeLikelihood::Ptr(new RangeLikelihood(10, 10, 96, 96, scene_));
// range_likelihood_ = RangeLikelihood::Ptr(new RangeLikelihood(1, 1, 480, 640, scene_));
// Actually corresponds to default parameters:
range_likelihood_->setCameraIntrinsicsParameters (640,480, 576.09757860,
576.09757860, 321.06398107, 242.97676897);
range_likelihood_->setComputeOnCPU (false);
range_likelihood_->setSumOnCPU (true);
range_likelihood_->setUseColor (true);
initialize (argc, argv);
if (p)
p->setBackgroundColor (bcolor[0], bcolor[1], bcolor[2]);
// Read axes settings
double axes = 0.0;
pcl::console::parse_argument (argc, argv, "-ax", axes);
if (axes != 0.0 && p)
{
double ax_x = 0.0, ax_y = 0.0, ax_z = 0.0;
pcl::console::parse_3x_arguments (argc, argv, "-ax_pos", ax_x, ax_y, ax_z, false);
// Draw XYZ axes if command-line enabled
p->addCoordinateSystem (axes, ax_x, ax_y, ax_z);
}
// Clean up the memory used by the binary blob
// Note: avoid resetting the cloud, otherwise the PointPicking callback will fail
//cloud.reset ();
if (ph)
{
print_highlight ("Setting the global Y range for all histograms to: "); print_value ("%f -> %f\n", min_p, max_p);
ph->setGlobalYRange (min_p, max_p);
ph->updateWindowPositions ();
if (p)
p->spin ();
else
ph->spin ();
}
else if (p)
p->spin ();
}
int
main (int argc, char** argv)
{
int width = 640;
int height = 480;
window_width_ = width * 2;
window_height_ = height * 2;
print_info ("Manually generate a simulated RGB-D point cloud using pcl::simulation. For more information, use: %s -h\n", argv[0]);
if (argc < 2)
{
printHelp (argc, argv);
return (-1);
}
int i;
for (i=0; i<2048; i++)
{
float v = i/2048.0;
v = powf(v, 3)* 6;
t_gamma[i] = v*6*256;
}
glutInit (&argc, argv);
glutInitDisplayMode (GLUT_DEPTH | GLUT_DOUBLE | GLUT_RGB);// was GLUT_RGBA
glutInitWindowPosition (10, 10);
glutInitWindowSize (window_width_, window_height_);
glutCreateWindow ("OpenGL range likelihood");
GLenum err = glewInit ();
if (GLEW_OK != err)
{
std::cerr << "Error: " << glewGetErrorString (err) << std::endl;
exit (-1);
}
std::cout << "Status: Using GLEW " << glewGetString (GLEW_VERSION) << std::endl;
if (glewIsSupported ("GL_VERSION_2_0"))
std::cout << "OpenGL 2.0 supported" << std::endl;
else
{
std::cerr << "Error: OpenGL 2.0 not supported" << std::endl;
exit(1);
}
std::cout << "GL_MAX_VIEWPORTS: " << GL_MAX_VIEWPORTS << std::endl;
camera_ = Camera::Ptr (new Camera ());
scene_ = Scene::Ptr (new Scene ());
//range_likelihood_ = RangeLikelihoodGLSL::Ptr(new RangeLikelihoodGLSL(1, 1, height, width, scene_, 0));
range_likelihood_ = RangeLikelihood::Ptr (new RangeLikelihood (2, 2, height/2, width/2, scene_));
// range_likelihood_ = RangeLikelihood::Ptr(new RangeLikelihood(10, 10, 96, 96, scene_));
// range_likelihood_ = RangeLikelihood::Ptr(new RangeLikelihood(1, 1, 480, 640, scene_));
// Actually corresponds to default parameters:
range_likelihood_->setCameraIntrinsicsParameters (640,480, 576.09757860,
576.09757860, 321.06398107, 242.97676897);
range_likelihood_->setComputeOnCPU (false);
range_likelihood_->setSumOnCPU (true);
range_likelihood_->setUseColor (true);
initialize (argc, argv);
glutReshapeFunc (on_reshape);
glutDisplayFunc (display);
glutIdleFunc (display);
glutKeyboardFunc (on_keyboard);
glutMouseFunc (on_mouse);
glutMotionFunc (on_motion);
glutPassiveMotionFunc (on_passive_motion);
glutEntryFunc (on_entry);
glutMainLoop ();
return 0;
}
