simulateFourPoints2DCartesianCamVelocity.cpp

/****************************************************************************
 *
 * $Id: simulateFourPoints2DCartesianCamVelocity.cpp 4056 2013-01-05 13:04:42Z fspindle $
 *
 * This file is part of the ViSP software.
 * Copyright (C) 2005 - 2013 by INRIA. All rights reserved.
 * 
 * This software is free software; you can redistribute it and/or
 * modify it under the terms of the GNU General Public License
 * ("GPL") version 2 as published by the Free Software Foundation.
 * See the file LICENSE.txt at the root directory of this source
 * distribution for additional information about the GNU GPL.
 *
 * For using ViSP with software that can not be combined with the GNU
 * GPL, please contact INRIA about acquiring a ViSP Professional 
 * Edition License.
 *
 * See http://www.irisa.fr/lagadic/visp/visp.html for more information.
 * 
 * This software was developed at:
 * INRIA Rennes - Bretagne Atlantique
 * Campus Universitaire de Beaulieu
 * 35042 Rennes Cedex
 * France
 * http://www.irisa.fr/lagadic
 *
 * If you have questions regarding the use of this file, please contact
 * INRIA at visp@inria.fr
 * 
 * This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
 * WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
 *
 *
 * Description:
 * Simulation of a visual servoing with visualization.
 *
 * Authors:
 * Eric Marchand
 * Fabien Spindler
 *
 *****************************************************************************/

#include <visp/vpConfig.h>
#include <visp/vpDebug.h>


#ifdef VISP_HAVE_COIN_AND_GUI

#include <visp/vpImage.h>
#include <visp/vpCameraParameters.h>
#include <visp/vpTime.h>
#include <visp/vpSimulator.h>


#include <visp/vpMath.h>
#include <visp/vpHomogeneousMatrix.h>
#include <visp/vpFeaturePoint.h>
#include <visp/vpServo.h>
#include <visp/vpRobotCamera.h>
#include <visp/vpFeatureBuilder.h>
#include <visp/vpParseArgv.h>
#include <visp/vpIoTools.h>

#define GETOPTARGS  "di:h"
#define SAVE 0

void usage(const char *name, const char *badparam, std::string ipath)
{
  fprintf(stdout, "\n\
Simulation Servo 4points.\n\
          \n\
SYNOPSIS\n\
  %s [-i <input image path>] [-d] [-h]\n", name);

  fprintf(stdout, "\n\
OPTIONS:                                               Default\n\
  -i <input image path>                                %s\n\
     Set image input path.\n\
     From this path read \"ViSP-images/iv/4points.iv\"\n\
     cad model.\n\
     Setting the VISP_INPUT_IMAGE_PATH environment\n\
     variable produces the same behaviour than using\n\
     this option.\n\
                  \n\
  -d                                             \n\
     Disable the image display. This can be useful \n\
     for automatic tests using crontab under Unix or \n\
     using the task manager under Windows.\n\
                  \n\
  -h\n\
     Print the help.\n\n", ipath.c_str());

  if (badparam)
    fprintf(stdout, "\nERROR: Bad parameter [%s]\n", badparam);
}

bool getOptions(int argc, const char **argv, std::string &ipath, bool &display)
{
  const char *optarg;
  int   c;
  while ((c = vpParseArgv::parse(argc, argv, GETOPTARGS, &optarg)) > 1) {

    switch (c) {
    case 'i': ipath = optarg; break;
    case 'd': display = false; break;
    case 'h': usage(argv[0], NULL, ipath); return false; break;

    default:
      usage(argv[0], optarg, ipath); return false; break;
    }
  }

  if ((c == 1) || (c == -1)) {
    // standalone param or error
    usage(argv[0], NULL, ipath);
    std::cerr << "ERROR: " << std::endl;
    std::cerr << "  Bad argument " << optarg << std::endl << std::endl;
    return false;
  }

  return true;
}

static
void *mainLoop (void *_simu)
{
  vpSimulator *simu = (vpSimulator *)_simu ;
  simu->initMainApplication() ;

  for ( ; ; ) {
    int i ;

    vpServo task ;
    vpRobotCamera robot ;

    float sampling_time = 0.040f; // Sampling period in second
    robot.setSamplingTime(sampling_time);

    std::cout << std::endl ;
    std::cout << "-------------------------------------------------------" << std::endl ;
    std::cout << " Test program for vpServo "  <<std::endl ;
    std::cout << " Eye-in-hand task control,  articular velocity are computed" << std::endl ;
    std::cout << " Simulation " << std::endl ;
    std::cout << " task : servo 4 points " << std::endl ;
    std::cout << "-------------------------------------------------------" << std::endl ;
    std::cout << std::endl ;


    vpTRACE("sets the initial camera location " ) ;
    vpPoseVector vcMo ;

    vcMo[0] = 0.3 ;
    vcMo[1] = 0.2 ;
    vcMo[2] = 3 ;
    vcMo[3] = 0 ;
    vcMo[4] = vpMath::rad(0)  ;
    vcMo[5] = vpMath::rad(40) ;

    vpHomogeneousMatrix cMo(vcMo)  ;
    robot.setPosition(cMo) ;
    simu->setCameraPosition(cMo) ;

    simu->getCameraPosition(cMo) ;
    robot.setPosition(cMo) ;

    vpCameraParameters cam ;

    vpTRACE("sets the point coordinates in the world frame "  ) ;
    vpPoint point[4] ;
    point[0].setWorldCoordinates(-0.1,-0.1,0) ;
    point[1].setWorldCoordinates(0.1,-0.1,0) ;
    point[2].setWorldCoordinates(0.1,0.1,0) ;
    point[3].setWorldCoordinates(-0.1,0.1,0) ;

    vpTRACE("project : computes  the point coordinates in the camera frame and its 2D coordinates"  ) ;
    for (i = 0 ; i < 4 ; i++)
      point[i].track(cMo) ;

    vpTRACE("sets the desired position of the point ") ;
    vpFeaturePoint p[4] ;
    for (i = 0 ; i < 4 ; i++)
      vpFeatureBuilder::create(p[i], point[i])  ;  //retrieve x,y and Z of the vpPoint structure


    vpTRACE("sets the desired position of the point ") ;
    vpFeaturePoint pd[4] ;

    pd[0].buildFrom(-0.1,-0.1,1) ;
    pd[1].buildFrom(0.1,-0.1,1) ;
    pd[2].buildFrom(0.1,0.1,1) ;
    pd[3].buildFrom(-0.1,0.1,1) ;

    vpTRACE("define the task") ;
    vpTRACE("\t we want an eye-in-hand control law") ;
    vpTRACE("\t articular velocity are computed") ;
    task.setServo(vpServo::EYEINHAND_L_cVe_eJe) ;
    task.setInteractionMatrixType(vpServo::CURRENT) ;


    vpTRACE("Set the position of the camera in the end-effector frame ") ;
    vpHomogeneousMatrix cMe ;
    vpVelocityTwistMatrix cVe(cMe) ;
    task.set_cVe(cVe) ;

    vpTRACE("Set the Jacobian (expressed in the end-effector frame)") ;
    vpMatrix eJe ;
    robot.get_eJe(eJe) ;
    task.set_eJe(eJe) ;

    vpTRACE("\t we want to see a point on a point..") ;
    for (i = 0 ; i < 4 ; i++)
      task.addFeature(p[i],pd[i]) ;

    vpTRACE("\t set the gain") ;
    task.setLambda(1.0) ;


    vpTRACE("Display task information " ) ;
    task.print() ;

    vpTime::wait(1000); // Sleep 1s
    std::cout << "\nEnter a character to continue or CTRL-C to quit... "
              << std::endl ;
    {    char a ; std::cin >> a ; }


    char name[FILENAME_MAX];
    unsigned int iter=0 ;
    vpTRACE("\t loop") ;
    while(iter++ < 100) {
      double t = vpTime::measureTimeMs();

      vpColVector v ;

      robot.get_eJe(eJe) ;
      task.set_eJe(eJe) ;

      robot.getPosition(cMo) ;
      for (i = 0 ; i < 4 ; i++)
      {
        point[i].track(cMo) ;
        vpFeatureBuilder::create(p[i],point[i])  ;
      }

      v = task.computeControlLaw() ;
      robot.setVelocity(vpRobot::CAMERA_FRAME, v) ;

      //vpTime::wait(100) ;


      simu->setCameraPosition(cMo) ;


      if(SAVE==1)
        {
          sprintf(name,"/tmp/image.%04d.external.png",iter) ;
          std::cout << name << std::endl ;
          simu->write(name) ;
          sprintf(name,"/tmp/image.%04d.internal.png",iter) ;
          simu->write(name) ;
        }

      vpTime::wait(t, sampling_time * 1000); // Wait 40 ms

    }
    vpTRACE("Display task information " ) ;
    task.print() ;
    task.kill() ;
    std::cout << "\nEnter a character to continue..." <<std::endl ;
    {    char a ; std::cin >> a ; }
  }

  simu->closeMainApplication() ;


  void *a=NULL ;
  return a ;
  // return (void *);
}


int
main(int argc, const char ** argv)
{
  std::string env_ipath;
  std::string opt_ipath;
  std::string ipath;
  std::string filename;
  std::string username;
  bool opt_display = true;

  // Get the VISP_IMAGE_PATH environment variable value
  char *ptenv = getenv("VISP_INPUT_IMAGE_PATH");
  if (ptenv != NULL)
    env_ipath = ptenv;

  // Set the default input path
  if (! env_ipath.empty())
    ipath = env_ipath;

  // Read the command line options
  if (getOptions(argc, argv, opt_ipath, opt_display) == false) {
    exit (-1);
  }

  // Get the option values
  if (!opt_ipath.empty())
    ipath = opt_ipath;

  // Compare ipath and env_ipath. If they differ, we take into account
  // the input path comming from the command line option
  if (!opt_ipath.empty() && !env_ipath.empty()) {
    if (ipath != env_ipath) {
      std::cout << std::endl
                << "WARNING: " << std::endl;
      std::cout << "  Since -i <visp image path=" << ipath << "> "
                << "  is different from VISP_IMAGE_PATH=" << env_ipath << std::endl
                << "  we skip the environment variable." << std::endl;
    }
  }

  // Test if an input path is set
  if (opt_ipath.empty() && env_ipath.empty()){
    usage(argv[0], NULL, ipath);
    std::cerr << std::endl
              << "ERROR:" << std::endl;
    std::cerr << "  Use -i <visp image path> option or set VISP_INPUT_IMAGE_PATH "
              << std::endl
              << "  environment variable to specify the location of the " << std::endl
              << "  image path where test images are located." << std::endl << std::endl;
    exit(-1);
  }

  vpCameraParameters cam ;
  vpHomogeneousMatrix fMo ; fMo[2][3] = 0 ;


  if (opt_display) {
    vpSimulator simu ;
    simu.initInternalViewer(300, 300) ;
    simu.initExternalViewer(300, 300) ;

    vpTime::wait(1000) ;
    simu.setZoomFactor(1.0f) ;

    // Load the cad model
    filename = ipath +  vpIoTools::path("/ViSP-images/iv/4points.iv");
    simu.load(filename.c_str()) ;

    simu.setInternalCameraParameters(cam) ;
    simu.setExternalCameraParameters(cam) ;
    simu.initApplication(&mainLoop) ;

    simu.mainLoop() ;
  }
}

#else
int
main()
{  vpTRACE("You should install Coin3D and SoQT or SoWin or SoXt") ;

}
#endif