Use python3

Analysis.cpp

@@ -375,7 +375,7 @@ int Analysis::RunAnalysis(const string& filename, const string& path)
                     Log->Write("INFO:\tSuccess with Method C using measurement area id %d!\n",_areaForMethod_C[i]->_id);
              	   if(_plotTimeseriesC[i])
  					 {
- 					 string parameters_Timeseries="python \""+_scriptsLocation+"/_Plot_timeseries_rho_v.py\" -p \""+ _projectRootDir+VORO_LOCATION + "\" -n "+filename+
+ 					 string parameters_Timeseries="python3 \""+_scriptsLocation+"/_Plot_timeseries_rho_v.py\" -p \""+ _projectRootDir+VORO_LOCATION + "\" -n "+filename+
  								" -f "+boost::lexical_cast<std::string>(data.GetFps());
  					  int res=system(parameters_Timeseries.c_str());
  					  Log->Write("INFO:\t time series result: %d ",res);
@@ -417,7 +417,7 @@ int Analysis::RunAnalysis(const string& filename, const string& path)
             	   Log->Write("INFO:\tSuccess with Method D using measurement area id %d!\n",_areaForMethod_D[i]->_id);
             	   if(_plotTimeseriesD[i])
 					 {
-					 string parameters_Timeseries="python \""+_scriptsLocation+"/_Plot_timeseries_rho_v.py\" -p \""+ _projectRootDir+VORO_LOCATION + "\" -n "+filename+
+					 string parameters_Timeseries="python3 \""+_scriptsLocation+"/_Plot_timeseries_rho_v.py\" -p \""+ _projectRootDir+VORO_LOCATION + "\" -n "+filename+
 								" -f "+boost::lexical_cast<std::string>(data.GetFps());
 					  int res=system(parameters_Timeseries.c_str());
 					  Log->Write("INFO:\t time series result: %d ",res);

general/ArgumentParser.cpp

@@ -528,7 +528,7 @@ bool ArgumentParser::ParseIniFile(const string& inifile)
           else
           {
                _vComponent = MovementDirection;
-               Log->Write("INFO: \tThe instantaneous velocity in the direction of "+MovementDirection+"degree will be calculated over <"+FrameSteps+" frames>" );
+               Log->Write("INFO: \tThe instantaneous velocity in the direction of <"+MovementDirection+">  will be calculated over <"+FrameSteps+" frames>" );
           }
      }
 

methods/Method_B.cpp

@@ -107,10 +107,12 @@ void Method_B::GetTinTout(int numFrames)
                if(within(make<point_2d>( (x), (y)), _areaForMethod_B->_poly)&&!(IsinMeasurezone[ID])) {
                     _tIn[ID]=frameNr;
                     IsinMeasurezone[ID] = true;
+                    std::cout << "IN x: " << x*CMtoM << " y: " << y*CMtoM<< std::endl;
                }
                if((!within(make<point_2d>( (x), (y)), _areaForMethod_B->_poly))&&IsinMeasurezone[ID]) {
                     _tOut[ID]=frameNr;
                     IsinMeasurezone[ID] = false;
+                    std::cout << "OUT x: " << x*CMtoM << " y: " << y*CMtoM << std::endl;
                }
           }
           _DensityPerFrame[frameNr] = pedsinMeasureArea/(area(_areaForMethod_B->_poly)*CMtoM*CMtoM);
@@ -131,7 +133,7 @@ void Method_B::GetFundamentalTinTout(double *DensityPerFrame,double LengthMeasur
      }
      fprintf(fFD_TinTout,"#person Index\t	density_i(m^(-2))\t	velocity_i(m/s)\n");
      for(int i=0; i<_NumPeds; i++)
-     {
+     {std::cout << "i: "<< i << ", Tin: " << _tIn[i] << ", Tout: " << _tOut[i]  << ", fps: " << _fps << ", L: "<< LengthMeasurementarea<< std::endl;
           double velocity_temp=_fps*LengthMeasurementarea/(_tOut[i]-_tIn[i]);
           double density_temp=0;
           for(int j=_tIn[i]; j<_tOut[i]; j++)

scripts/_Plot_timeseries_rho_v.py

+#!/usr/bin/env python3
 from numpy import *
 import matplotlib
 import matplotlib.pyplot as plt