/usr/include/dlib/svm/sequence_labeler.h is in libdlib-dev 18.18-2build1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 | // Copyright (C) 2011 Davis E. King (davis@dlib.net)
// License: Boost Software License See LICENSE.txt for the full license.
#ifndef DLIB_SEQUENCE_LAbELER_H_h_
#define DLIB_SEQUENCE_LAbELER_H_h_
#include "sequence_labeler_abstract.h"
#include "../matrix.h"
#include <vector>
#include "../optimization/find_max_factor_graph_viterbi.h"
namespace dlib
{
// ----------------------------------------------------------------------------------------
namespace fe_helpers
{
template <typename EXP>
struct dot_functor
{
dot_functor(const matrix_exp<EXP>& lambda_) : lambda(lambda_), value(0) {}
inline void operator() (
unsigned long feat_index
)
{
value += lambda(feat_index);
}
inline void operator() (
unsigned long feat_index,
double feat_value
)
{
value += feat_value*lambda(feat_index);
}
const matrix_exp<EXP>& lambda;
double value;
};
template <typename feature_extractor, typename EXP, typename sequence_type, typename EXP2>
double dot(
const matrix_exp<EXP>& lambda,
const feature_extractor& fe,
const sequence_type& sequence,
const matrix_exp<EXP2>& candidate_labeling,
unsigned long position
)
{
dot_functor<EXP> dot(lambda);
fe.get_features(dot, sequence, candidate_labeling, position);
return dot.value;
}
}
// ----------------------------------------------------------------------------------------
namespace impl
{
DLIB_MAKE_HAS_MEMBER_FUNCTION_TEST(
has_reject_labeling,
bool,
template reject_labeling<matrix<unsigned long> >,
(const typename T::sequence_type&, const matrix_exp<matrix<unsigned long> >&, unsigned long)const
);
template <typename feature_extractor, typename EXP, typename sequence_type>
typename enable_if<has_reject_labeling<feature_extractor>,bool>::type call_reject_labeling_if_exists (
const feature_extractor& fe,
const sequence_type& x,
const matrix_exp<EXP>& y,
unsigned long position
)
{
return fe.reject_labeling(x, y, position);
}
template <typename feature_extractor, typename EXP, typename sequence_type>
typename disable_if<has_reject_labeling<feature_extractor>,bool>::type call_reject_labeling_if_exists (
const feature_extractor& ,
const sequence_type& ,
const matrix_exp<EXP>& ,
unsigned long
)
{
return false;
}
}
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
template <
typename feature_extractor
>
typename enable_if<dlib::impl::has_reject_labeling<feature_extractor>,bool>::type contains_invalid_labeling (
const feature_extractor& fe,
const typename feature_extractor::sequence_type& x,
const std::vector<unsigned long>& y
)
{
if (x.size() != y.size())
return true;
matrix<unsigned long,0,1> node_states;
for (unsigned long i = 0; i < x.size(); ++i)
{
node_states.set_size(std::min(fe.order(),i) + 1);
for (unsigned long j = 0; j < (unsigned long)node_states.size(); ++j)
node_states(j) = y[i-j];
if (fe.reject_labeling(x, node_states, i))
return true;
}
return false;
}
// ----------------------------------------------------------------------------------------
template <
typename feature_extractor
>
typename disable_if<dlib::impl::has_reject_labeling<feature_extractor>,bool>::type contains_invalid_labeling (
const feature_extractor& ,
const typename feature_extractor::sequence_type& x,
const std::vector<unsigned long>& y
)
{
if (x.size() != y.size())
return true;
return false;
}
// ----------------------------------------------------------------------------------------
template <
typename feature_extractor
>
bool contains_invalid_labeling (
const feature_extractor& fe,
const std::vector<typename feature_extractor::sequence_type>& x,
const std::vector<std::vector<unsigned long> >& y
)
{
if (x.size() != y.size())
return true;
for (unsigned long i = 0; i < x.size(); ++i)
{
if (contains_invalid_labeling(fe,x[i],y[i]))
return true;
}
return false;
}
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
template <
typename feature_extractor
>
class sequence_labeler
{
public:
typedef typename feature_extractor::sequence_type sample_sequence_type;
typedef std::vector<unsigned long> labeled_sequence_type;
private:
class map_prob
{
public:
unsigned long order() const { return fe.order(); }
unsigned long num_states() const { return fe.num_labels(); }
map_prob(
const sample_sequence_type& x_,
const feature_extractor& fe_,
const matrix<double,0,1>& weights_
) :
sequence(x_),
fe(fe_),
weights(weights_)
{
}
unsigned long number_of_nodes(
) const
{
return sequence.size();
}
template <
typename EXP
>
double factor_value (
unsigned long node_id,
const matrix_exp<EXP>& node_states
) const
{
if (dlib::impl::call_reject_labeling_if_exists(fe, sequence, node_states, node_id))
return -std::numeric_limits<double>::infinity();
return fe_helpers::dot(weights, fe, sequence, node_states, node_id);
}
const sample_sequence_type& sequence;
const feature_extractor& fe;
const matrix<double,0,1>& weights;
};
public:
sequence_labeler()
{
weights.set_size(fe.num_features());
weights = 0;
}
explicit sequence_labeler(
const matrix<double,0,1>& weights_
) :
weights(weights_)
{
// make sure requires clause is not broken
DLIB_ASSERT(fe.num_features() == static_cast<unsigned long>(weights_.size()),
"\t sequence_labeler::sequence_labeler(weights_)"
<< "\n\t These sizes should match"
<< "\n\t fe.num_features(): " << fe.num_features()
<< "\n\t weights_.size(): " << weights_.size()
<< "\n\t this: " << this
);
}
sequence_labeler(
const matrix<double,0,1>& weights_,
const feature_extractor& fe_
) :
fe(fe_),
weights(weights_)
{
// make sure requires clause is not broken
DLIB_ASSERT(fe_.num_features() == static_cast<unsigned long>(weights_.size()),
"\t sequence_labeler::sequence_labeler(weights_,fe_)"
<< "\n\t These sizes should match"
<< "\n\t fe_.num_features(): " << fe_.num_features()
<< "\n\t weights_.size(): " << weights_.size()
<< "\n\t this: " << this
);
}
const feature_extractor& get_feature_extractor (
) const { return fe; }
const matrix<double,0,1>& get_weights (
) const { return weights; }
unsigned long num_labels (
) const { return fe.num_labels(); }
labeled_sequence_type operator() (
const sample_sequence_type& x
) const
{
// make sure requires clause is not broken
DLIB_ASSERT(num_labels() > 0,
"\t labeled_sequence_type sequence_labeler::operator()(x)"
<< "\n\t You can't have no labels."
<< "\n\t this: " << this
);
labeled_sequence_type y;
find_max_factor_graph_viterbi(map_prob(x,fe,weights), y);
return y;
}
void label_sequence (
const sample_sequence_type& x,
labeled_sequence_type& y
) const
{
// make sure requires clause is not broken
DLIB_ASSERT(num_labels() > 0,
"\t void sequence_labeler::label_sequence(x,y)"
<< "\n\t You can't have no labels."
<< "\n\t this: " << this
);
find_max_factor_graph_viterbi(map_prob(x,fe,weights), y);
}
private:
feature_extractor fe;
matrix<double,0,1> weights;
};
// ----------------------------------------------------------------------------------------
template <
typename feature_extractor
>
void serialize (
const sequence_labeler<feature_extractor>& item,
std::ostream& out
)
{
serialize(item.get_feature_extractor(), out);
serialize(item.get_weights(), out);
}
// ----------------------------------------------------------------------------------------
template <
typename feature_extractor
>
void deserialize (
sequence_labeler<feature_extractor>& item,
std::istream& in
)
{
feature_extractor fe;
matrix<double,0,1> weights;
deserialize(fe, in);
deserialize(weights, in);
item = sequence_labeler<feature_extractor>(weights, fe);
}
// ----------------------------------------------------------------------------------------
}
#endif // DLIB_SEQUENCE_LAbELER_H_h_
|