Commit e2699921 authored by Davis King's avatar Davis King

Added initial version of graph labeling trainer.

parent 42a6ee6f
// Copyright (C) 2012 Davis E. King (davis@dlib.net)
// License: Boost Software License See LICENSE.txt for the full license.
#ifndef DLIB_STRUCTURAL_GRAPH_LABELING_tRAINER_H__
#define DLIB_STRUCTURAL_GRAPH_LABELING_tRAINER_H__
#include "structural_graph_labeling_trainer_abstract.h"
#include "../algs.h"
#include "../optimization.h"
#include "structural_svm_graph_labeling_problem.h"
#include "graph_labeler.h"
namespace dlib
{
// ----------------------------------------------------------------------------------------
template <
typename vector_type
>
class structural_graph_labeling_trainer
{
public:
typedef std::vector<node_label> label_type;
typedef graph_labeler<vector_type> trained_function_type;
structural_graph_labeling_trainer (
)
{
C = 10;
verbose = false;
eps = 0.1;
num_threads = 2;
max_cache_size = 40;
}
void set_num_threads (
unsigned long num
)
{
num_threads = num;
}
unsigned long get_num_threads (
) const
{
return num_threads;
}
void set_epsilon (
double eps_
)
{
// make sure requires clause is not broken
DLIB_ASSERT(eps_ > 0,
"\t void structural_graph_labeling_trainer::set_epsilon()"
<< "\n\t eps_ must be greater than 0"
<< "\n\t eps_: " << eps_
<< "\n\t this: " << this
);
eps = eps_;
}
double get_epsilon (
) const { return eps; }
void set_max_cache_size (
unsigned long max_size
)
{
max_cache_size = max_size;
}
unsigned long get_max_cache_size (
) const
{
return max_cache_size;
}
void be_verbose (
)
{
verbose = true;
}
void be_quiet (
)
{
verbose = false;
}
void set_oca (
const oca& item
)
{
solver = item;
}
const oca get_oca (
) const
{
return solver;
}
void set_c (
double C_
)
{
// make sure requires clause is not broken
DLIB_ASSERT(C_ > 0,
"\t void structural_graph_labeling_trainer::set_c()"
<< "\n\t C_ must be greater than 0"
<< "\n\t C_: " << C_
<< "\n\t this: " << this
);
C = C_;
}
double get_c (
) const
{
return C;
}
template <
typename graph_type
>
const graph_labeler<vector_type> train (
const dlib::array<graph_type>& samples,
const std::vector<label_type>& labels
) const
{
// TODO
// make sure requires clause is not broken
structural_svm_graph_labeling_problem<graph_type> prob(samples, labels, num_threads);
if (verbose)
prob.be_verbose();
prob.set_c(C);
prob.set_epsilon(eps);
prob.set_max_cache_size(max_cache_size);
matrix<double,0,1> w;
solver(prob, w, prob.get_num_edge_weights());
vector_type edge_weights = rowm(w,range(0, prob.get_num_edge_weights()-1));
vector_type node_weights = rowm(w,range(prob.get_num_edge_weights(),w.size()-1));
return graph_labeler<vector_type>(edge_weights, node_weights);
}
private:
double C;
oca solver;
double eps;
bool verbose;
unsigned long num_threads;
unsigned long max_cache_size;
};
// ----------------------------------------------------------------------------------------
}
#endif // DLIB_STRUCTURAL_GRAPH_LABELING_tRAINER_H__
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment