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467 lines
14 KiB
Plaintext
467 lines
14 KiB
Plaintext
/*
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* scan_red implementation
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*
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* Copyright (C) Dorit Borrmann, Razvan-George Mihalyi, Remus Dumitru
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*
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* Released under the GPL version 3.
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*
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*/
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/**
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* @file
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* @brief Main program for reducing 3D scans.
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*
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* Program to reduce scans for use with slam6d
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* Usage: bin/scan_red -r <NR> 'dir',
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* Use -r for octree based reduction (voxel size=<NR>)
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* and 'dir' the directory of a set of scans
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* Reduced scans will be written to 'dir/reduced'
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*
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* @author Dorit Borrmann. Automation Group, Jacobs University Bremen gGmbH, Germany.
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*/
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#ifdef _MSC_VER
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#if !defined _OPENMP && defined OPENMP
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#define _OPENMP
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#endif
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#endif
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#define WANT_STREAM ///< define the WANT stream :)
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#include <string>
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using std::string;
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#include <iostream>
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using std::cout;
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using std::cerr;
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using std::endl;
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#include <fstream>
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using std::ofstream;
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#include <errno.h>
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#include "slam6d/metaScan.h"
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#include "slam6d/io_utils.h"
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#include "slam6d/scan.h"
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#include "slam6d/fbr/fbr_global.h"
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#include "slam6d/fbr/panorama.h"
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#include "slam6d/fbr/scan_cv.h"
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#include "scanserver/clientInterface.h"
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#include "slam6d/globals.icc"
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#ifdef _OPENMP
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#include <omp.h>
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#endif
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#ifndef _MSC_VER
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#include <getopt.h>
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#else
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#include "XGetopt.h"
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#endif
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#ifdef _MSC_VER
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#define strcasecmp _stricmp
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#define strncasecmp _strnicmp
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#include <windows.h>
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#include <direct.h>
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#else
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#include <sys/stat.h>
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#include <sys/types.h>
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#include <strings.h>
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#include <dlfcn.h>
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#endif
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//Vertical angle of view of scanner
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#define MAX_ANGLE 60.0
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#define MIN_ANGLE -40.0
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#define IMAGE_HEIGHT 1000
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#define IMAGE_WIDTH 3600
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using namespace fbr;
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projection_method strToPMethod(string method){
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if(strcasecmp(method.c_str(), "EQUIRECTANGULAR") == 0) return EQUIRECTANGULAR;
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else if(strcasecmp(method.c_str(), "CYLINDRICAL") == 0) return CYLINDRICAL;
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else if(strcasecmp(method.c_str(), "MERCATOR") == 0) return MERCATOR;
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else if(strcasecmp(method.c_str(), "CONIC") == 0) return CONIC;
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else throw std::runtime_error(std::string("projection method ") + method + std::string(" is unknown"));
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}
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/**
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* Explains the usage of this program's command line parameters
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*/
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void usage(char* prog)
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{
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#ifndef _MSC_VER
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const string bold("\033[1m");
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const string normal("\033[m");
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#else
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const string bold("");
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const string normal("");
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#endif
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cout << endl
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<< bold << "USAGE " << normal << endl
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<< " " << prog << " [options] -r <NR> directory" << endl << endl;
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cout << bold << "OPTIONS" << normal << endl
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<< bold << " -s" << normal << " NR, " << bold << "--start=" << normal << "NR" << endl
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<< " start at scan NR (i.e., neglects the first NR scans)" << endl
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<< " [ATTENTION: counting naturally starts with 0]" << endl
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<< endl
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<< bold << " -e" << normal << " NR, " << bold << "--end=" << normal << "NR" << endl
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<< " end after scan NR" << endl
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<< endl
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<< bold << " -f" << normal << " F, " << bold << "--format=" << normal << "F" << endl
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<< " using shared library F for input" << endl
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<< " (choose F from {uos, uos_map, uos_rgb, uos_frames, uos_map_frames, old, rts, rts_map, ifp, riegl_txt, riegl_rgb, riegl_bin, zahn, ply})" << endl
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<< endl
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<< bold << " -m" << normal << " NR, " << bold << "--max=" << normal << "NR" << endl
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<< " neglegt all data points with a distance larger than NR 'units'" << endl
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<< endl
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<< bold << " -M" << normal << " NR, " << bold << "--min=" << normal << "NR" << endl
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<< " neglegt all data points with a distance smaller than NR 'units'" << endl
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<< endl
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<< bold << " -r" << normal << " NR, " << bold << "--reduce=" << normal << "NR" << endl
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<< " if NR >= 0, turns on octree based point reduction (voxel size=<NR>)" << endl
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<< " if NR < 0, turns on rescaling based reduction" << endl
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<< endl
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<< bold << " -I" << normal << " NR," << bold << "--rangeimage=" << normal << "NR" << endl
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<< " use rescaling of the range image as reduction method" << endl
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<< " if NR = 1 recovers ranges from range image" << endl
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<< " if NR = 2 interpolates 3D points in the image map" << endl
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<< " if NR is omitted, then NR=1 is selected" << endl
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<< endl
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<< bold << " -p" << normal << " MET," << bold << "--projection=" << normal << "MET" << endl
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<< " create range image using the MET projection method" << endl
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<< " (choose MET from [EQUIRECTANGULAR|CYLINDRICAL|MERCATOR|CONIC])" << endl
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<< bold << " -S, --scanserver" << normal << endl
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<< " Use the scanserver as an input method and handling of scan data" << endl
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<< endl << endl;
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cout << bold << "EXAMPLES " << normal << endl
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<< " " << prog << " -m 500 -r 5 dat" << endl
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<< " " << prog << " --max=5000 -r 10.2 dat" << endl
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<< " " << prog << " -s 2 -e 10 -r dat" << endl
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<< " " << prog << " -s 0 -e 1 -r 10 -I=1 dat " << endl << endl;
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exit(1);
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}
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/** A function that parses the command-line arguments and sets the respective flags.
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* @param argc the number of arguments
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* @param argv the arguments
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* @param dir the directory
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* @param red using point reduction?
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* @param rand use randomized point reduction?
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* @param start starting at scan number 'start'
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* @param end stopping at scan number 'end'
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* @param maxDist - maximal distance of points being loaded
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* @param minDist - minimal distance of points being loaded
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* @param projection - projection method for building range image
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* @param quiet switches on/off the quiet mode
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* @param veryQuiet switches on/off the 'very quiet' mode
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* @return 0, if the parsing was successful. 1 otherwise
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*/
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int parseArgs(int argc, char **argv, string &dir, double &red,
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int &start, int &end, int &maxDist, int &minDist,
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string &projection, int &octree, IOType &type,
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int &rangeimage, bool &scanserver)
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{
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bool reduced = false;
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int c;
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// from unistd.h:
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extern char *optarg;
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extern int optind;
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WriteOnce<IOType> w_type(type);
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WriteOnce<int> w_start(start), w_end(end);
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/* options descriptor */
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// 0: no arguments, 1: required argument, 2: optional argument
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static struct option longopts[] = {
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{ "format", required_argument, 0, 'f' },
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{ "max", required_argument, 0, 'm' },
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{ "min", required_argument, 0, 'M' },
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{ "start", required_argument, 0, 's' },
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{ "end", required_argument, 0, 'e' },
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{ "reduce", required_argument, 0, 'r' },
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{ "octree", optional_argument, 0, 'O' },
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{ "rangeimage", optional_argument, 0, 'I' },
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{ "projection", required_argument, 0, 'p' },
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{ "scanserver", no_argument, 0, 'S' },
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{ 0, 0, 0, 0} // needed, cf. getopt.h
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};
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cout << endl;
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while ((c = getopt_long(argc, argv, "f:r:s:e:m:M:O:p:", longopts, NULL)) != -1)
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switch (c)
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{
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case 'r':
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red = atof(optarg);
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reduced = true;
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break;
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case 's':
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w_start = atoi(optarg);
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if (w_start < 0) { cerr << "Error: Cannot start at a negative scan number.\n"; exit(1); }
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break;
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case 'e':
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w_end = atoi(optarg);
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if (w_end < 0) { cerr << "Error: Cannot end at a negative scan number.\n"; exit(1); }
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if (w_end < start) { cerr << "Error: <end> cannot be smaller than <start>.\n"; exit(1); }
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break;
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case 'f':
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try {
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w_type = formatname_to_io_type(optarg);
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} catch (...) { // runtime_error
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cerr << "Format " << optarg << " unknown." << endl;
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abort();
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}
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break;
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case 'm':
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maxDist = atoi(optarg);
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break;
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case 'O':
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if (optarg) {
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octree = atoi(optarg);
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} else {
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octree = 1;
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}
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break;
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case 'M':
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minDist = atoi(optarg);
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break;
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case 'I':
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if (optarg) {
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rangeimage = atoi(optarg);
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} else {
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rangeimage = 1;
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}
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break;
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case 'p':
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projection = optarg;
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break;
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case 'S':
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scanserver = true;
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break;
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case '?':
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usage(argv[0]);
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return 1;
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default:
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abort ();
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}
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if(!reduced) {
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cerr << "\n*** Reduction method missed ***" << endl;
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usage(argv[0]);
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}
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if (optind != argc-1) {
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cerr << "\n*** Directory missing ***" << endl;
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usage(argv[0]);
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}
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dir = argv[optind];
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#ifndef _MSC_VER
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if (dir[dir.length()-1] != '/') dir = dir + "/";
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#else
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if (dir[dir.length()-1] != '\\') dir = dir + "\\";
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#endif
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parseFormatFile(dir, w_type, w_start, w_end);
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return 0;
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}
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/**
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* Main program for reducing scans.
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* Usage: bin/scan_red -r <NR> 'dir',
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* Use -r for octree based reduction (voxel size=<NR>)
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* and 'dir' the directory of a set of scans
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* Reduced scans will be written to 'dir/reduced'
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*
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*/
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int main(int argc, char **argv)
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{
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cout << "(c) Jacobs University Bremen, gGmbH, 2012" << endl << endl;
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if (argc <= 1) {
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usage(argv[0]);
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}
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// parsing the command line parameters
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// init, default values if not specified
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string dir;
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double red = -1.0;
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int start = 0, end = -1;
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int maxDist = -1;
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int minDist = -1;
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string projection = "EQUIRECTANGULAR";
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int octree = 0;
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IOType type = RIEGL_TXT;
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int rangeimage = 0;
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bool scanserver = false;
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parseArgs(argc, argv, dir, red, start, end, maxDist, minDist, projection,
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octree, type, rangeimage, scanserver);
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if (scanserver) {
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try {
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ClientInterface::create();
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} catch(std::runtime_error& e) {
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cerr << "ClientInterface could not be created: " << e.what() << endl;
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cerr << "Start the scanserver first." << endl;
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exit(-1);
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}
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}
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// Get Scans
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string reddir = dir + "reduced";
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#ifdef _MSC_VER
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int success = mkdir(reddir.c_str());
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#else
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int success = mkdir(reddir.c_str(), S_IRWXU|S_IRWXG|S_IRWXO);
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#endif
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if(success == 0) {
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cout << "Writing scans to " << reddir << endl;
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} else if(errno == EEXIST) {
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cout << "Directory " << reddir << " exists already. CONTINUE" << endl;
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} else {
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cerr << "Creating directory " << reddir << " failed" << endl;
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exit(1);
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}
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Scan::openDirectory(scanserver, dir, type, start, end);
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if(Scan::allScans.size() == 0) {
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cerr << "No scans found. Did you use the correct format?" << endl;
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exit(-1);
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}
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string scanFileName;
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string poseFileName;
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/// Use the OCTREE based reduction
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if (rangeimage == 0) {
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cout << endl << "Reducing point cloud using octrees" << endl;
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int scan_number = start;
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for(std::vector<Scan*>::iterator it = Scan::allScans.begin();
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it != Scan::allScans.end();
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++it, ++scan_number) {
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Scan* scan = *it;
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const double* rPos = scan->get_rPos();
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const double* rPosTheta = scan->get_rPosTheta();
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scan->setRangeFilter(maxDist, minDist);
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scan->setReductionParameter(red, octree);
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// get reduced points
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DataXYZ xyz_r(scan->get("xyz reduced"));
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unsigned int nPoints = xyz_r.size();
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const char* id = scan->getIdentifier();
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cout << "Writing Scan No. " << id;
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cout << " with " << xyz_r.size() << " points" << endl;
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scanFileName = reddir + "/scan" + id + ".3d";
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poseFileName = reddir + "/scan" + id + ".pose";
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ofstream redptsout(scanFileName.c_str());
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for(unsigned int j = 0; j < nPoints; j++) {
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redptsout << xyz_r[j][0] << " "
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<< xyz_r[j][1] << " "
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<< xyz_r[j][2] << endl;
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}
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redptsout.close();
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redptsout.clear();
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ofstream posout(poseFileName.c_str());
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posout << rPos[0] << " "
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<< rPos[1] << " "
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<< rPos[2] << endl
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<< deg(rPosTheta[0]) << " "
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<< deg(rPosTheta[1]) << " "
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<< deg(rPosTheta[2]) << endl;
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posout.close();
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posout.clear();
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if (scanserver) {
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scan->clear("xyz reduced");
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}
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}
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} else { /// use the RESIZE based reduction
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cout << endl << "Reducing point cloud by rescaling the range image" << endl;
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Scan::openDirectory(false, dir, type, start, end);
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if (Scan::allScans.size() <= 0) {
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cerr << "No scans found!" << endl;
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exit(-1);
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}
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for (int scan_number = start; scan_number <= end; scan_number++) {
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Scan* scan = Scan::allScans[scan_number];
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scan->setRangeFilter(maxDist, minDist);
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const double* rPos = scan->get_rPos();
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const double* rPosTheta = scan->get_rPosTheta();
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scanFileName = dir + "reduced/scan" + to_string(scan_number, 3) + ".3d";
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poseFileName = dir + "reduced/scan" + to_string(scan_number, 3) + ".pose";
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// Create a panorama. The iMap inside does all the tricks for us.
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scan_cv sScan(dir, scan_number, type);
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sScan.convertScanToMat();
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/// Project point cloud using the selected projection method
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panorama image(IMAGE_WIDTH, IMAGE_HEIGHT, strToPMethod(projection));
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image.createPanorama(sScan.getMatScan());
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image.getDescription();
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/// Resize the range image, specify desired interpolation method
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double scale = 1.0/red;
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cv::Mat range_image_resized; // reflectance_image_resized;
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string ofilename;
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stringstream ss;
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ss << setw(3) << setfill('0') << (scan_number);
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ofilename = reddir + "/scan" + ss.str() + ".3d";
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if (rangeimage == 1) {
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resize(image.getRangeImage(), range_image_resized, cv::Size(),
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scale, scale, cv::INTER_NEAREST);
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// Recover point cloud from image and write scan to file
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stringstream ss;
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ss << setw(3) << setfill('0') << (scan_number);
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image.recoverPointCloud(range_image_resized, ofilename);
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} else {
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resize(image.getMap(), range_image_resized, cv::Size(),
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scale, scale, cv::INTER_NEAREST);
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ofstream redptsout(ofilename.c_str());
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// Convert back to 3D.
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for(int i = 0; i < range_image_resized.rows; i++) {
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for(int j = 0; j < range_image_resized.cols; j++) {
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cv::Vec3f vec = range_image_resized.at<cv::Vec3f>(i, j);
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double x = vec[0];
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double y = vec[1];
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double z = vec[2];
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redptsout << x << " " << y << " " << z << endl;
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}
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}
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}
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ofstream posout(poseFileName.c_str());
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posout << rPos[0] << " "
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<< rPos[1] << " "
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<< rPos[2] << endl
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<< deg(rPosTheta[0]) << " "
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<< deg(rPosTheta[1]) << " "
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<< deg(rPosTheta[2]) << endl;
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posout.clear();
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posout.close();
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}
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}
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cout << endl << endl;
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cout << "Normal program end." << endl << endl;
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if (scanserver) {
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Scan::closeDirectory();
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ClientInterface::destroy();
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}
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}
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