lda2ilda.cc

torch tracking code, it is a good code

#include "DiskXFile.h"
#include "ImageGray.h"

#include "LDAMachine.h"
#include "matrix.h"
#include "MyMeanVarNorm.h"

#include "CmdLine.h"

using namespace Torch;

const char *help = "This program reads a bindata file and a iLDA model and regenerate patterns in the input space\
(c) Sebastien Marcel 2003-2004\n";

int main(int argc, char *argv[])
{
	char *bindata_filename;
	char *lda_filename;
	char *ilda_filename;
	int n_input;
	char *filename_out;
	bool verbose;
	int verbose_level;
	bool dnorm;
	CmdLine cmd;
	cmd.setBOption("write log", false);
	
	cmd.info(help);
	cmd.addText("\nArguments:");
	cmd.addSCmdArg("bindata filename", &bindata_filename, "bindata filename");
	cmd.addSCmdArg("model filename", &lda_filename, "LDA model filename");
	cmd.addSCmdArg("model filename", &ilda_filename, "iLDA model filename");
	cmd.addICmdArg("n_input", &n_input, "number of inputs");
	cmd.addText("\nOptions:");
	cmd.addSCmdOption("-o", &filename_out, "ilda.bindata", "bindata output file");
	cmd.addBCmdOption("-verbose", &verbose, false, "verbose");
	cmd.addICmdOption("-verbose_level", &verbose_level, 1, "level of verbose");
	cmd.addBCmdOption("-dnorm", &dnorm, false, "use dnorm");
	cmd.read(argc, argv);

	if(verbose == false) verbose_level = 0;


	//
	LDAMachine *lda_machine = NULL;
	lda_machine = new LDAMachine(n_input, dnorm);

	if(verbose_level >= 1)
		print("Loading LDA model: %s ...\n", lda_filename);

	DiskXFile *file = NULL;
	file = new DiskXFile(lda_filename, "r");
	lda_machine->loadXFile(file);
	delete file;
	
	//
	lda_machine->setIOption("verbose_level", 1);
	lda_machine->init();

	//
	Mat *E_inv = NULL;
	E_inv = new Mat(n_input, n_input);
	DiskXFile *pfMxInverse = NULL;

	print("Loading matrix inverse %s ...\n", ilda_filename);
	pfMxInverse = new DiskXFile(ilda_filename, "r");
	int n_input_;
	pfMxInverse->read(&n_input_, sizeof(int), 1);
	if(n_input_ != n_input)
		error("Number of inputs %d != %d incorrect\n", n_input_, n_input);
       	for(int j = 0 ; j < n_input ; j++)
		pfMxInverse->read(E_inv->ptr[j], sizeof(double), n_input);

	delete pfMxInverse;

	//
	int dimIn;
	int n_patterns;
		
	DiskXFile *pf = NULL;
	pf = new DiskXFile(bindata_filename, "r");

	pf->read(&n_patterns, sizeof(int), 1);
	pf->read(&dimIn, sizeof(int), 1);

	if(verbose_level >= 1)
	{
		print("n_inputs : %d\n", dimIn);
		print("n_patterns : %d\n", n_patterns);  
	}

	if(dimIn > n_input)
	{
		error("Number of inputs specified (%d) lower than into the file (%d)\n", n_input, dimIn);
	   
		delete pf;

		return 0;
	}


	//
	float *realinput = NULL;
        Sequence *seq;
	float *ilda = NULL;

        realinput = new float [n_input];
        seq = new Sequence(&realinput, 1, n_input);	
        ilda = new float [n_input];

	//
	DiskXFile *pfOutput = NULL;
	pfOutput = new DiskXFile(filename_out, "w");
	
	//
	if(verbose_level >= 1)
		print("Projection bindata file into iPCA space (%d -> %d) ...\n", dimIn, n_input);

	int P = n_patterns;

	pfOutput->write(&P, sizeof(int), 1);
	pfOutput->write(&n_input, sizeof(int), 1);
	
	for(int p = 0 ; p < P ; p++)
	{
	   	//
	  	for(int i = 0 ; i < dimIn ; i++)
			pf->read(&realinput[i], sizeof(float), 1);   

	   	if(verbose_level >= 2)
			print(" Seq =     [%2.3f %2.3f %2.3f ...]\n", realinput[0], realinput[1], realinput[2]);

		if(dnorm)
			for(int i = 0 ; i < n_input ; i++) 
		   		realinput[i] += lda_machine->d_m_mean_[i];

		for(int i = 0 ; i < n_input ; i++)
		{
			ilda[i] = 0.0;

			for(int j = 0 ; j < dimIn ; j++)
				ilda[i] += E_inv->ptr[j][i] * realinput[j];
		}
		
		//
		float data;
		for(int i = 0 ; i < n_input ; i++)
		{
		   	data = ilda[i];

			pfOutput->write(&data, sizeof(float), 1);   
		}
	}

	//
	delete pf;
	delete pfOutput;
	
	//
	delete seq;
	delete [] realinput;
	delete [] ilda;
	delete lda_machine;
	delete E_inv;
	
  	return 0;
}