organized_pcd_to_png.cpp
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00001 /*
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00004  *  Point Cloud Library (PCL) - www.pointclouds.org
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00014  *     notice, this list of conditions and the following disclaimer.
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00037 
00038 #include <pcl/io/pcd_io.h>
00039 #include <pcl/console/print.h>
00040 #include <pcl/console/parse.h>
00041 #include <pcl/console/time.h>
00042 #include <pcl/io/png_io.h>
00043 
00044 using namespace pcl;
00045 using namespace pcl::io;
00046 using namespace pcl::console;
00047 
00048 void
00049 printHelp (int, char **argv)
00050 {
00051   print_error ("Syntax is: %s input.pcd output.png\n", argv[0]);
00052 }
00053 
00054 bool
00055 loadCloud (const std::string &filename, pcl::PCLPointCloud2 &cloud)
00056 {
00057   TicToc tt;
00058   print_highlight ("Loading "); print_value ("%s ", filename.c_str ());
00059 
00060   tt.tic ();
00061   if (loadPCDFile (filename, cloud) < 0)
00062     return (false);
00063   print_info ("[done, "); print_value ("%g", tt.toc ()); print_info (" ms : "); print_value ("%d", cloud.width * cloud.height); print_info (" points]\n");
00064   print_info ("Available dimensions: "); print_value ("%s\n", pcl::getFieldsList (cloud).c_str ());
00065 
00066   return (true);
00067 }
00068 
00069 void
00070 saveImage (const std::string &filename, const PointCloud<RGB> &image)
00071 {
00072   TicToc tt;
00073   tt.tic ();
00074 
00075   print_highlight ("Saving "); print_value ("%s ", filename.c_str ());
00076   io::savePNGFile (filename, image);
00077 
00078   print_info ("[done, "); print_value ("%g", tt.toc ()); print_info (" ms : "); print_value ("%d", image.width * image.height); print_info (" points]\n");
00079 }
00080 
00081 /* ---[ */
00082 int
00083 main (int argc, char** argv)
00084 {
00085   print_info ("Convert the RGB information of an organized PCD file to a PNG image. For more information, use: %s -h\n", argv[0]);
00086 
00087   if (argc < 3)
00088   {
00089     printHelp (argc, argv);
00090     return (-1);
00091   }
00092 
00093   // Parse the command line arguments for .pcd files
00094   std::vector<int> pcd_file_indices = parse_file_extension_argument (argc, argv, ".pcd");
00095   if (pcd_file_indices.size () != 1)
00096   {
00097     print_error ("Need one input PCD file and one output PNG file.\n");
00098     return (-1);
00099   }
00100 
00101   std::vector<int> png_file_indices = parse_file_extension_argument (argc, argv, ".png");
00102   if (png_file_indices.size () != 1)
00103   {
00104     print_error ("Need one input PCD file and one output PNG file.\n");
00105     return (-1);
00106   }
00107 
00108   // Load the first file
00109   pcl::PCLPointCloud2 cloud;
00110   if (!loadCloud (argv[pcd_file_indices[0]], cloud))
00111     return (-1);
00112 
00113 
00114   PointCloud<RGB> image;
00115   fromPCLPointCloud2 (cloud, image);
00116 
00117 
00118   // Check if the cloud is organized
00119   if (!image.isOrganized ())
00120   {
00121     PCL_ERROR ("Input cloud is not organized.\n");
00122     return (-1);
00123   }
00124 
00125   // Save cloud
00126   saveImage (argv[png_file_indices[0]], image);
00127 
00128   return (0);
00129 }
00130 


pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:27:21