void FabMapCalculator::RecordConfigParamsToFile(string output_path, double dfTimeTaken)
{
//Record standard parameters
RecordConfigParamsToFile(output_path);
//Now add time taken
std::ofstream params_file((output_path + "config.params").c_str(),ofstream::out | ofstream::app);
if(dfTimeTaken > 60.0)
{
params_file << endl << "Finished. Total time " << setprecision(3) << ((dfTimeTaken - fmod(dfTimeTaken,60.0))/60.0) << " minutes "
<< fmod(dfTimeTaken,60.0) << " seconds." << endl;
}
else
{
params_file << endl << "Finished. Total time " << dfTimeTaken << " seconds." << endl;
}
params_file.close();
}
void FabMapCalculator::RecordConfigParamsToFile(string output_path)
{
//Keep a record of what parameters we ran the algorithm with.
std::ofstream params_file((output_path + "config.params").c_str());
params_file << "Mode: " << mp_RankingFunction->DescribeRankingFunction() << endl;
params_file << "p(observe | exists) = " << p_observe_given_exists << endl;
params_file << "p(observe | !exists) = " << p_z_1_given_e_0[0] << endl;
params_file << "p(at new place) = " << p_at_new_place << endl;
params_file << "Likelihood Smoothing Factor: " << m_df_likelihood_smoothing_factor << endl;
//Prior
params_file << mp_PriorProvider->DescribePrior();
//Sampler
params_file << "Sampler: ";
if(mp_Sampler->DescribeSampler() == "MEAN FIELD")
{
params_file << "(No Sampling. Mean Field Approximation.)" << endl;
}
else
{
params_file << mp_Sampler->DescribeSampler() << endl;
params_file << "Minimum Number Of Samples Used: ";
if(mp_Sampler->FiniteSampler() && (m_nMinNumSamples<m_nMaxSamples))
{
params_file << m_nMinNumSamples << endl;
}
else
{
params_file << m_nMaxSamples << endl;
}
if(m_sAltSamplePath.size()>1)
{
params_file << "Alternate sampling file: " << m_sAltSampleFile << endl;
}
}
//Data Association
#ifdef ALLOW_DATA_ASSOCIATION
params_file << "Data Association: ON" << endl;
params_file << "Data Association Threshold: " << m_df_likelihood_smoothing_factor << endl;
#else
params_file << "Data Association: OFF" << endl;
#endif
//Keyframe detector
params_file << "Keyframe Detector: " << mp_KeyframeDetector->DescribeKeyframeDetector() << endl;
//Disallow local matches
if(m_bDisallowLocalMatches)
params_file << "Disallow Local Matches: " << m_nDisallowRegion << endl;
else
params_file << "Disallow Local Matches: OFF" << endl;
//Number of images processed
if(!m_bProcessAllScenes)
{
params_file << "Images Processed: First " << m_nMaxNumberOfScenesToProcess << endl;
}
else
{
params_file << "Images Processed: All" << endl;
}
//Blob response filter
params_file << "Blob Response Filter: " << m_dfBlobResponseThreshold << endl;
params_file.close();
}
// Load parameters from the given filename
void load_parameters(const char* params_fname) {
std::ifstream params_file(params_fname);
std::string line;
line = get_next_line(params_file, "grid_size");
grid_size = atoi(line.c_str());
line = get_next_line(params_file, "num_cycles");
num_cycles = atoi(line.c_str());
line = get_next_line(params_file, "growth_multiplier");
growth_multiplier = atof(line.c_str());
line = get_next_line(params_file, "global_death_rate");
global_death_rate = atof(line.c_str());
line = get_next_line(params_file, "all_die");
all_die = (atoi(line.c_str()) == 1);
line = get_next_line(params_file, "report_to_screen");
report_to_screen = (atoi(line.c_str()) == 1);
line = get_next_line(params_file, "log_fname");
log_fname = new char[strlen(line.c_str())];
strcpy(log_fname, line.c_str());
line = get_next_line(params_file, "output_fname");
output_fname = new char[strlen(line.c_str())];
strcpy(output_fname, line.c_str());
line = get_next_line(params_file, "output_interval");
output_interval = atoi(line.c_str());
line = get_next_line(params_file, "num_strains");
num_strains = atoi(line.c_str());
line = get_next_line(params_file, "strains_fname");
strains_fname = new char[strlen(line.c_str())];
strcpy(strains_fname, line.c_str());
line = get_next_line(params_file, "enable_antagonism");
enable_antagonism = (atoi(line.c_str()) == 1);
line = get_next_line(params_file, "antagonism_table_fname");
antagonism_table_fname = new char[strlen(line.c_str())];
strcpy(antagonism_table_fname, line.c_str());
line = get_next_line(params_file, "use_real_growth");
use_real_growth = (atoi(line.c_str()) == 1);
line = get_next_line(params_file, "growth_intercept");
growth_intercept = atof(line.c_str());
line = get_next_line(params_file, "growth_slope");
growth_slope = atof(line.c_str());
line = get_next_line(params_file, "food_source_rations");
food_source_rations = atoi(line.c_str());
line = get_next_line(params_file, "food_source_radius");
food_source_radius = atoi(line.c_str());
line = get_next_line(params_file, "food_source_spawn_rate");
food_source_spawn_rate = atof(line.c_str());
line = get_next_line(params_file, "start_population_per_strain");
start_population_per_strain = atoi(line.c_str());
line = get_next_line(params_file, "start_num_food_sources");
start_num_food_sources = atoi(line.c_str());
}
