C++ WorkSpace::LoadMotionDB方法代码示例

int main(int argc, char **argv)
{
  WorkSpace *work    = NULL;

  get_args(argc, argv);
  
  srand (getpid());

  work = new WorkSpace();
  work->LoadMotionDB (script_file);
  work->ExecLearning ();
  
  delete work;

  return 0;
}

// Created on 2008-07-10
// Test for what's happen when the extrapolated motion patterns are recognized by mimesis
// also for RSJ conf. 2008
int test_extra_recognition(void)
{
	tl_message ("start");
	JHMM        *hmm1 = NULL, *hmm2 = NULL, *hmm3 = NULL, *synthesis_hmm = NULL;
	Behavior    *beh = NULL;
	JHMM        *hmm_vec[3];
	double      weight[3];
	int         i;

	hmm1      = new JHMM;
	hmm2      = new JHMM;
	hmm3      = new JHMM;
	hmm1->Load("./.tmp/punch/punch.hmm");
	hmm2->Load("./.tmp/squat/squat.hmm");
	hmm3->Load("./.tmp/kick/kick.hmm");
	hmm_vec[0] = hmm1;
	hmm_vec[1] = hmm2;
	hmm_vec[2] = hmm3;

	WorkSpace *work = NULL;
	work = new WorkSpace();
	if (script_file[0]==0) { print_usage(); exit(0); }
	work->LoadMotionDB (script_file);
	work->SetHTKUnitsFromMotionDB ();
	work->BeforeRecognize();
	work->DistanceLoad ("../../script/symbol_data/tmp_distance_vector");
	work->SpaceLoad    ("../../script/symbol_data/tmp_dim.spc");

	vector<double>	tmp_dis, new_dis, hellinger, tmp_cord;
	vector<double>	likelihood;

	tl_message ("# of motion db is : %d\n", work->GetNumOfMotionDB() );

	cout << "c_1, c_2, ";
	for (i=0; i<(int)(work->GetNumOfMotionDB()); i++)
		cout << "old_KLdistance[" << i << "] ,";
	for (i=0; i<(int)(work->GetNumOfMotionDB()); i++)
		cout << "new_KLdivergence[" << i << "] ,";
	for (i=0; i<(int)(work->GetNumOfMotionDB()); i++)
		cout << "Hellinger Distance[" << i << "] ,";
	for (i=0; i<(int)(work->GetPsymbolSpace()->GetDimension() ); i++)
		cout << "x[" << i << "] , ";
	cout << endl;

	for (int i=-10; i<20; i++)
		{
			synthesis_hmm = new JHMM;
			weight[0] = i * 0.1;
			weight[1] = 1 - weight[0];
			synthesis_hmm->InterpolationAny (hmm_vec, weight, 2);
			beh = synthesis_hmm->GenerateBehavior(100, 30);

			work->CalcHellingerDistanceOfOnlineBehavior(beh, hellinger);
			tl_message ("step hoge %d.0", i);
			for (int j=0; j<(int)(hellinger.size()); j++)
				cout << hellinger[j] << " , ";
			cout << endl;
			tl_message ("step hoge %d.1", i);
      
			work->CalcLikelihoodVector        (beh, likelihood);
			tl_message ("step hoge %d.2", i);
			work->CalcDistanceOfInputBehavior (beh, tmp_dis);
			tl_message ("step hoge %d.3", i);
			work->CalcDistanceOfOnlineBehavior(beh, new_dis);
			tl_message ("step hoge %d.4", i);

			work->GetPsymbolSpace()->CoordinateFromDistanceData(tmp_dis, tmp_cord);
			tl_message ("step hoge %d.5", i);
			cout << weight[0] << " , " << weight[1] << " , ";
			for (int j=0; j<(int)(tmp_dis.size()); j++)
				cout << tmp_dis[j] << " , ";
			for (int j=0; j<(int)(new_dis.size()); j++)
				cout << new_dis[j] << " , ";
			for (int j=0; j<(int)(hellinger.size()); j++)
				cout << hellinger[j] << " , ";
			for (int j=0; j<(int)(tmp_cord.size()); j++)
				cout << tmp_cord[j] << " , ";
			cout << endl;

			delete synthesis_hmm;
		}

	delete beh;
	delete hmm1;
	delete hmm2;
	delete hmm3;
	delete synthesis_hmm;
	return TRUE;
}

int main(int argc, char **argv)
{
  srand (getpid());
  Common_SetDebug (TRUE);

  get_args(argc, argv);

  JHMM		*synthesis_hmm = NULL, *hmm[10];
  Behavior	*beh = NULL;

  tl_message ("Loading hmm factor for synthesis");
  hmm[0] = new JHMM;
  hmm[1] = new JHMM;
  hmm[2] = new JHMM;
  hmm[0]->Load("./.tmp/squat/squat.hmm");
  hmm[1]->Load("./.tmp/kick/kick.hmm");
  hmm[2]->Load("./.tmp/punch/punch.hmm");


  WorkSpace *work = NULL;
  work = new WorkSpace();
  work->LoadMotionDB ("../../script/learning_scriptfile_2");
  //work->LoadHTKUnits ("../../script/htkunit_scriptfile_2");
  work->SetHTKUnitsFromMotionDB ();
  work->SetLabelFromHTKUnit();
  work->BeforeRecognize();
  //work->DisVectorLoad("../../script/symbol_data/tmp_distance_vector");
  work->SpaceLoad    ("../../script/symbol_data/tmp_dim.spc");
  cerr << "num of htk_units = " << work->NumOfHTKUnits() << endl;

#if 0
  work->CalcKLDivergenceMatrix();
  work->SpaceFileOut ("./tmp_space_output.txt");

  tl_message ("KL distance from 0 to 1 (by new algo.) = %g", work->GetNthHTKUnit(0)->CalcKLDistance ( work->GetNthHTKUnit(1) ) );
  tl_message ("KL distance from 1 to 0 (by new algo.) = %g", work->GetNthHTKUnit(1)->CalcKLDistance ( work->GetNthHTKUnit(0) ) );
  tl_message ("KL distance from 0 to 2 (by new algo.) = %g", work->GetNthHTKUnit(0)->CalcKLDistance ( work->GetNthHTKUnit(2) ) );
  tl_message ("KL distance from 2 to 0 (by new algo.) = %g", work->GetNthHTKUnit(2)->CalcKLDistance ( work->GetNthHTKUnit(0) ) );
  tl_message ("KL distance from 1 to 2 (by new algo.) = %g", work->GetNthHTKUnit(1)->CalcKLDistance ( work->GetNthHTKUnit(2) ) );
  tl_message ("KL distance from 2 to 1 (by new algo.) = %g", work->GetNthHTKUnit(2)->CalcKLDistance ( work->GetNthHTKUnit(1) ) );
#else
  work->CalcHellingerMatrix();
  work->SpaceFileOut ("./tmp_space_output.txt");

  tl_message ("Hellinger Distance from 0 to 1 = %g", work->GetNthHTKUnit(0)->CalcHellingerDistance ( *(work->GetNthHTKUnit(1)) ) );
  tl_message ("Hellinger Distance from 1 to 0 = %g", work->GetNthHTKUnit(1)->CalcHellingerDistance ( *(work->GetNthHTKUnit(0)) ) );
  tl_message ("Hellinger Distance from 0 to 2 = %g", work->GetNthHTKUnit(0)->CalcHellingerDistance ( *(work->GetNthHTKUnit(2)) ) );
  //tl_message ("Hellinger Distance from 2 to 0 = %g", work->GetNthHTKUnit(2)->CalcHellingerDistance ( work->GetNthHTKUnit(0) ) );
  tl_message ("Hellinger Distance from 1 to 2 = %g", work->GetNthHTKUnit(1)->CalcHellingerDistance ( *(work->GetNthHTKUnit(2)) ) );
  //tl_message ("Hellinger Distance from 2 to 1 = %g", work->GetNthHTKUnit(2)->CalcHellingerDistance ( work->GetNthHTKUnit(1) ) );
#endif

  vector<double>	tmp_dis, tmp_cord;
  tl_message ("Now generate a general synthesised HMM");
  ofstream fout("./result.dat");
  fout << "weight[0], weight[1], pseudo_distance to [0], pseudo_distance to [1], position_1, position_2" << endl;
  for (int i=-20; i<=20; i++)
    {
      synthesis_hmm = new JHMM;
      weight[0] = 0.1 * i;
      weight[1] = 1.0 - 0.1 * i;
      synthesis_hmm->InterpolationAny (hmm, weight, 2);
      beh = synthesis_hmm->GenerateBehavior(100, 30);
      delete synthesis_hmm;

      work->CalcDistanceOfInputBehavior(beh, tmp_dis);
      work->GetPsymbolSpace()->CoordinateFromDistanceData(tmp_dis, tmp_cord);
      fout << weight[0] << "," << weight[1] << ",";

      for (int i=0; i<(int)(tmp_dis.size()); i++)
	fout << tmp_dis[i] << ",";
      for (int i=0; i<(int)(tmp_cord.size()); i++)
	fout << tmp_cord[i] << ",";
      fout << endl;
      cerr << "size of distance vector = " << tmp_dis.size() << ", and size of coordinate = " << tmp_cord.size() << endl;
    }

  delete beh;
  for (int i=0; i<3; i++)
    delete hmm[i];
  return TRUE;
  return TRUE;
}