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<div class="title">/usr/local/google/home/jbreiden/tesseract-ocr-read-only/classify/sampleiterator.h</div> </div>
102
<div class="contents">
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<a href="a00937.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">// Copyright 2011 Google Inc. All Rights Reserved.</span>
104
<a name="l00002"></a>00002 <span class="comment">// Author: rays@google.com (Ray Smith)</span>
105
<a name="l00003"></a>00003 <span class="comment">//</span>
106
<a name="l00004"></a>00004 <span class="comment">// Licensed under the Apache License, Version 2.0 (the "License");</span>
107
<a name="l00005"></a>00005 <span class="comment">// you may not use this file except in compliance with the License.</span>
108
<a name="l00006"></a>00006 <span class="comment">// You may obtain a copy of the License at</span>
109
<a name="l00007"></a>00007 <span class="comment">// http://www.apache.org/licenses/LICENSE-2.0</span>
110
<a name="l00008"></a>00008 <span class="comment">// Unless required by applicable law or agreed to in writing, software</span>
111
<a name="l00009"></a>00009 <span class="comment">// distributed under the License is distributed on an "AS IS" BASIS,</span>
112
<a name="l00010"></a>00010 <span class="comment">// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
113
<a name="l00011"></a>00011 <span class="comment">// See the License for the specific language governing permissions and</span>
114
<a name="l00012"></a>00012 <span class="comment">// limitations under the License.</span>
115
<a name="l00013"></a>00013 <span class="comment">//</span>
116
<a name="l00015"></a>00015 <span class="comment"></span>
117
<a name="l00016"></a>00016
118
<a name="l00017"></a>00017 <span class="preprocessor">#ifndef TESSERACT_CLASSIFY_SAMPLEITERATOR_H_</span>
119
<a name="l00018"></a>00018 <span class="preprocessor"></span><span class="preprocessor">#define TESSERACT_CLASSIFY_SAMPLEITERATOR_H_</span>
120
<a name="l00019"></a>00019 <span class="preprocessor"></span>
121
<a name="l00020"></a>00020 <span class="keyword">namespace </span><a class="code" href="a01266.html#afed58feacb84df2de88bdd613cfdba6d">tesseract</a> {
122
<a name="l00021"></a>00021
123
<a name="l00022"></a>00022 <span class="keyword">class </span>IndexMapBiDi;
124
<a name="l00023"></a>00023 <span class="keyword">class </span>IntFeatureMap;
125
<a name="l00024"></a>00024 <span class="keyword">class </span>ShapeTable;
126
<a name="l00025"></a>00025 <span class="keyword">class </span>TrainingSample;
127
<a name="l00026"></a>00026 <span class="keyword">class </span>TrainingSampleSet;
128
<a name="l00027"></a>00027 <span class="keyword">struct </span>UnicharAndFonts;
129
<a name="l00028"></a>00028
130
<a name="l00029"></a>00029 <span class="comment">// Iterator class to encapsulate the complex iteration involved in getting</span>
131
<a name="l00030"></a>00030 <span class="comment">// all samples of all shapes needed for a classification problem.</span>
132
<a name="l00031"></a>00031 <span class="comment">//</span>
133
<a name="l00032"></a>00032 <span class="comment">// =====INPUTS TO Init FUNCTION=====</span>
134
<a name="l00033"></a>00033 <span class="comment">// The charset_map defines a subset of the sample_set classes (with a NULL</span>
135
<a name="l00034"></a>00034 <span class="comment">// shape_table, or the shape_table classes if not NULL.)</span>
136
<a name="l00035"></a>00035 <span class="comment">//</span>
137
<a name="l00036"></a>00036 <span class="comment">// The shape_table (if not NULL) defines the mapping from shapes to</span>
138
<a name="l00037"></a>00037 <span class="comment">// font_id/class_id pairs. Each shape is a list of unichar_id and font lists.</span>
139
<a name="l00038"></a>00038 <span class="comment">//</span>
140
<a name="l00039"></a>00039 <span class="comment">// The sample_set holds the samples and provides indexed access to samples</span>
141
<a name="l00040"></a>00040 <span class="comment">// of font_id/class_id pairs.</span>
142
<a name="l00041"></a>00041 <span class="comment">//</span>
143
<a name="l00042"></a>00042 <span class="comment">// If randomize is true, the samples are perturbed slightly, but the</span>
144
<a name="l00043"></a>00043 <span class="comment">// perturbation is guaranteed to be the same for multiple identical</span>
145
<a name="l00044"></a>00044 <span class="comment">// iterations.</span>
146
<a name="l00045"></a>00045 <span class="comment">//</span>
147
<a name="l00046"></a>00046 <span class="comment">// =====DIFFERENT COMBINATIONS OF INPUTS=====</span>
148
<a name="l00047"></a>00047 <span class="comment">// NULL shape_table:</span>
149
<a name="l00048"></a>00048 <span class="comment">// Without a shape_table, everything works in UNICHAR_IDs.</span>
150
<a name="l00049"></a>00049 <span class="comment">//</span>
151
<a name="l00050"></a>00050 <span class="comment">// NULL shape_table, NULL charset_map:</span>
152
<a name="l00051"></a>00051 <span class="comment">// Iterations simply run over the samples in the order the samples occur in the</span>
153
<a name="l00052"></a>00052 <span class="comment">// input files.</span>
154
<a name="l00053"></a>00053 <span class="comment">// GetCompactClassID and GetSparseClassID both return the sample UNICHAR_ID.</span>
155
<a name="l00054"></a>00054 <span class="comment">//</span>
156
<a name="l00055"></a>00055 <span class="comment">// NULL shape_table, non-NULL charset_map:</span>
157
<a name="l00056"></a>00056 <span class="comment">// When shape_table is NULL, the charset_map indexes unichar_ids directly,</span>
158
<a name="l00057"></a>00057 <span class="comment">// and an iteration returns all samples of all chars in the charset_map, which</span>
159
<a name="l00058"></a>00058 <span class="comment">// is a subset of the full unicharset.</span>
160
<a name="l00059"></a>00059 <span class="comment">// The iteration will be in groups of the same unichar_id, in the order</span>
161
<a name="l00060"></a>00060 <span class="comment">// defined by the charset_map.</span>
162
<a name="l00061"></a>00061 <span class="comment">// GetCompactClassID returns the charset_map index of a sample, and</span>
163
<a name="l00062"></a>00062 <span class="comment">// GetSparseClassID returns the sample UNICHAR_ID.</span>
164
<a name="l00063"></a>00063 <span class="comment">//</span>
165
<a name="l00064"></a>00064 <span class="comment">// Non-NULL shape_table:</span>
166
<a name="l00065"></a>00065 <span class="comment">// With a shape_table, samples are grouped according to the shape_table, so</span>
167
<a name="l00066"></a>00066 <span class="comment">// multiple UNICHAR_IDs and fonts may be grouped together, and everything</span>
168
<a name="l00067"></a>00067 <span class="comment">// works in shape_ids.</span>
169
<a name="l00068"></a>00068 <span class="comment">//</span>
170
<a name="l00069"></a>00069 <span class="comment">// Non-NULL shape_table, NULL charset_map.</span>
171
<a name="l00070"></a>00070 <span class="comment">// Iterations simply run over the samples in the order of shape_id.</span>
172
<a name="l00071"></a>00071 <span class="comment">// GetCompactClassID and GetSparseClassID both return the shape_id.</span>
173
<a name="l00072"></a>00072 <span class="comment">// (If you want the unichar_id or font_id, the sample still has them.)</span>
174
<a name="l00073"></a>00073 <span class="comment">//</span>
175
<a name="l00074"></a>00074 <span class="comment">// Non-NULL shape_table, non-NULL charset_map.</span>
176
<a name="l00075"></a>00075 <span class="comment">// When shape_table is not NULL, the charset_map indexes and subsets shapes in</span>
177
<a name="l00076"></a>00076 <span class="comment">// the shape_table, and iterations will be in shape_table order, not</span>
178
<a name="l00077"></a>00077 <span class="comment">// charset_map order.</span>
179
<a name="l00078"></a>00078 <span class="comment">// GetCompactClassID returns the charset_map index of a shape, and</span>
180
<a name="l00079"></a>00079 <span class="comment">// GetSparseClassID returns the shape_id.</span>
181
<a name="l00080"></a>00080 <span class="comment">//</span>
182
<a name="l00081"></a>00081 <span class="comment">// =====What is SampleIterator good for?=====</span>
183
<a name="l00082"></a>00082 <span class="comment">// Inside a classifier training module, the SampleIterator has abstracted away</span>
184
<a name="l00083"></a>00083 <span class="comment">// all the different modes above.</span>
185
<a name="l00084"></a>00084 <span class="comment">// Use the following iteration to train your classifier:</span>
186
<a name="l00085"></a>00085 <span class="comment">// for (it.Begin(); !it.AtEnd(); it.Next()) {</span>
187
<a name="l00086"></a>00086 <span class="comment">// const TrainingSample& sample = it.GetSample();</span>
188
<a name="l00087"></a>00087 <span class="comment">// int class_id = it.GetCompactClassID();</span>
189
<a name="l00088"></a>00088 <span class="comment">// Your classifier may or may not be dealing with a shape_table, and may be</span>
190
<a name="l00089"></a>00089 <span class="comment">// dealing with some subset of the character/shape set. It doesn't need to</span>
191
<a name="l00090"></a>00090 <span class="comment">// know and shouldn't care. It is just learning shapes with compact class ids</span>
192
<a name="l00091"></a>00091 <span class="comment">// in the range [0, it.CompactCharsetSize()).</span>
193
<a name="l00092"></a><a class="code" href="a00526.html">00092</a> <span class="keyword">class </span><a class="code" href="a00526.html">SampleIterator</a> {
194
<a name="l00093"></a>00093 <span class="keyword">public</span>:
195
<a name="l00094"></a>00094 <a class="code" href="a00526.html#a9789d39f648bb3942e69fb42402b173c">SampleIterator</a>();
196
<a name="l00095"></a>00095 <a class="code" href="a00526.html#a6a7e5ec1f292ab6ecea1f3385496ec37">~SampleIterator</a>();
197
<a name="l00096"></a>00096
198
<a name="l00097"></a>00097 <span class="keywordtype">void</span> <a class="code" href="a00526.html#ab9b74fc9ac303c34474b69ee69f2d663">Clear</a>();
199
<a name="l00098"></a>00098
200
<a name="l00099"></a>00099 <span class="comment">// See class comment for arguments.</span>
201
<a name="l00100"></a>00100 <span class="keywordtype">void</span> <a class="code" href="a00526.html#a0cdb514895d01dff26b51a2e5bc1b0ea">Init</a>(<span class="keyword">const</span> <a class="code" href="a00416.html">IndexMapBiDi</a>* <a class="code" href="a00526.html#a1fdfa33c330477eb7c5eef8ca47fd40c">charset_map</a>,
202
<a name="l00101"></a>00101 <span class="keyword">const</span> <a class="code" href="a00544.html">ShapeTable</a>* <a class="code" href="a00526.html#aeae6fe3f5607f0e0ff9f82151d096ced">shape_table</a>,
203
<a name="l00102"></a>00102 <span class="keywordtype">bool</span> randomize,
204
<a name="l00103"></a>00103 <a class="code" href="a00631.html">TrainingSampleSet</a>* <a class="code" href="a00526.html#a11e0a8f5f60216b68c3fe6528d551295">sample_set</a>);
205
<a name="l00104"></a>00104
206
<a name="l00105"></a>00105 <span class="comment">// Iterator functions designed for use with a simple for loop:</span>
207
<a name="l00106"></a>00106 <span class="comment">// for (it.Begin(); !it.AtEnd(); it.Next()) {</span>
208
<a name="l00107"></a>00107 <span class="comment">// const TrainingSample& sample = it.GetSample();</span>
209
<a name="l00108"></a>00108 <span class="comment">// int class_id = it.GetCompactClassID();</span>
210
<a name="l00109"></a>00109 <span class="comment">// ...</span>
211
<a name="l00110"></a>00110 <span class="comment">// }</span>
212
<a name="l00111"></a>00111 <span class="keywordtype">void</span> <a class="code" href="a00526.html#a90e5190efbff41c67519ba29fa59186f">Begin</a>();
213
<a name="l00112"></a>00112 <span class="keywordtype">bool</span> <a class="code" href="a00526.html#a4dde9bf911b04c848fbdc4cca8699b70">AtEnd</a>() <span class="keyword">const</span>;
214
<a name="l00113"></a>00113 <span class="keyword">const</span> <a class="code" href="a00630.html">TrainingSample</a>& <a class="code" href="a00526.html#a274fa0bca10b58d7efddebde0338a698">GetSample</a>() <span class="keyword">const</span>;
215
<a name="l00114"></a>00114 <a class="code" href="a00630.html">TrainingSample</a>* <a class="code" href="a00526.html#a0941312fec55859dc29a1b32b0e298cd">MutableSample</a>() <span class="keyword">const</span>;
216
<a name="l00115"></a>00115 <span class="comment">// Returns the total index (from the original set of samples) of the current</span>
217
<a name="l00116"></a>00116 <span class="comment">// sample.</span>
218
<a name="l00117"></a>00117 <span class="keywordtype">int</span> <a class="code" href="a00526.html#a3651237953d616f7d27f4ed46106707c">GlobalSampleIndex</a>() <span class="keyword">const</span>;
219
<a name="l00118"></a>00118 <span class="comment">// Returns the index of the current sample in compact charset space, so</span>
220
<a name="l00119"></a>00119 <span class="comment">// in a 2-class problem between x and y, the returned indices will all be</span>
221
<a name="l00120"></a>00120 <span class="comment">// 0 or 1, and have nothing to do with the unichar_ids.</span>
222
<a name="l00121"></a>00121 <span class="comment">// If the charset_map_ is NULL, then this is equal to GetSparseClassID().</span>
223
<a name="l00122"></a>00122 <span class="keywordtype">int</span> <a class="code" href="a00526.html#a745b2bf5f8956bc1233e28f9b1c5b639">GetCompactClassID</a>() <span class="keyword">const</span>;
224
<a name="l00123"></a>00123 <span class="comment">// Returns the index of the current sample in sparse charset space, so</span>
225
<a name="l00124"></a>00124 <span class="comment">// in a 2-class problem between x and y, the returned indices will all be</span>
226
<a name="l00125"></a>00125 <span class="comment">// x or y, where x and y may be unichar_ids (no shape_table_) or shape_ids</span>
227
<a name="l00126"></a>00126 <span class="comment">// with a shape_table_.</span>
228
<a name="l00127"></a>00127 <span class="keywordtype">int</span> <a class="code" href="a00526.html#a35e0355b17965fef669f2bd84ea624a7">GetSparseClassID</a>() <span class="keyword">const</span>;
229
<a name="l00128"></a>00128 <span class="comment">// Moves on to the next indexable sample. If the end is reached, leaves</span>
230
<a name="l00129"></a>00129 <span class="comment">// the state such that AtEnd() is true.</span>
231
<a name="l00130"></a>00130 <span class="keywordtype">void</span> <a class="code" href="a00526.html#aea58e8234a0b6bab9061929622150bb1">Next</a>();
232
<a name="l00131"></a>00131
233
<a name="l00132"></a>00132 <span class="comment">// Returns the size of the compact charset space.</span>
234
<a name="l00133"></a>00133 <span class="keywordtype">int</span> <a class="code" href="a00526.html#a95b17d95d0777709dee9606e57a6aad1">CompactCharsetSize</a>() <span class="keyword">const</span>;
235
<a name="l00134"></a>00134 <span class="comment">// Returns the size of the sparse charset space.</span>
236
<a name="l00135"></a>00135 <span class="keywordtype">int</span> <a class="code" href="a00526.html#ad575eda15498de5a5de614dbcfa4d0aa">SparseCharsetSize</a>() <span class="keyword">const</span>;
237
<a name="l00136"></a>00136
238
<a name="l00137"></a><a class="code" href="a00526.html#a1fdfa33c330477eb7c5eef8ca47fd40c">00137</a> <span class="keyword">const</span> <a class="code" href="a00416.html">IndexMapBiDi</a>& <a class="code" href="a00526.html#a1fdfa33c330477eb7c5eef8ca47fd40c">charset_map</a>()<span class="keyword"> const </span>{
239
<a name="l00138"></a>00138 <span class="keywordflow">return</span> *charset_map_;
240
<a name="l00139"></a>00139 }
241
<a name="l00140"></a><a class="code" href="a00526.html#aeae6fe3f5607f0e0ff9f82151d096ced">00140</a> <span class="keyword">const</span> <a class="code" href="a00544.html">ShapeTable</a>* <a class="code" href="a00526.html#aeae6fe3f5607f0e0ff9f82151d096ced">shape_table</a>()<span class="keyword"> const </span>{
242
<a name="l00141"></a>00141 <span class="keywordflow">return</span> shape_table_;
243
<a name="l00142"></a>00142 }
244
<a name="l00143"></a>00143 <span class="comment">// Sample set operations.</span>
245
<a name="l00144"></a><a class="code" href="a00526.html#a11e0a8f5f60216b68c3fe6528d551295">00144</a> <span class="keyword">const</span> <a class="code" href="a00631.html">TrainingSampleSet</a>* <a class="code" href="a00526.html#a11e0a8f5f60216b68c3fe6528d551295">sample_set</a>()<span class="keyword"> const </span>{
246
<a name="l00145"></a>00145 <span class="keywordflow">return</span> sample_set_;
247
<a name="l00146"></a>00146 }
248
<a name="l00147"></a>00147
249
<a name="l00148"></a>00148 <span class="comment">// A set of functions that do something to all the samples accessed by the</span>
250
<a name="l00149"></a>00149 <span class="comment">// iterator, as it is currently setup.</span>
251
<a name="l00150"></a>00150
252
<a name="l00151"></a>00151 <span class="comment">// Apply the supplied feature_space/feature_map transform to all samples</span>
253
<a name="l00152"></a>00152 <span class="comment">// accessed by this iterator.</span>
254
<a name="l00153"></a>00153 <span class="keywordtype">void</span> <a class="code" href="a00526.html#a476d245234d73a6c9ef7c85b57148a27">MapSampleFeatures</a>(<span class="keyword">const</span> <a class="code" href="a00429.html">IntFeatureMap</a>& feature_map);
255
<a name="l00154"></a>00154
256
<a name="l00155"></a>00155 <span class="comment">// Adjust the weights of all the samples to be uniform in the given charset.</span>
257
<a name="l00156"></a>00156 <span class="comment">// Returns the number of samples in the iterator.</span>
258
<a name="l00157"></a>00157 <span class="keywordtype">int</span> <a class="code" href="a00526.html#a82e48b99ecac34b9e0dbf8a96521bb4e">UniformSamples</a>();
259
<a name="l00158"></a>00158
260
<a name="l00159"></a>00159 <span class="comment">// Normalize the weights of all the samples defined by the iterator so they</span>
261
<a name="l00160"></a>00160 <span class="comment">// sum to 1. Returns the minimum assigned sample weight.</span>
262
<a name="l00161"></a>00161 <span class="keywordtype">double</span> <a class="code" href="a00526.html#ac0a70c42261385f21d97c699ff181fad">NormalizeSamples</a>();
263
<a name="l00162"></a>00162
264
<a name="l00163"></a>00163 <span class="keyword">private</span>:
265
<a name="l00164"></a>00164 <span class="comment">// Helper returns the current UnicharAndFont shape_entry.</span>
266
<a name="l00165"></a>00165 <span class="keyword">const</span> <a class="code" href="a00638.html">UnicharAndFonts</a>* GetShapeEntry() <span class="keyword">const</span>;
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<a name="l00166"></a>00166
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<a name="l00167"></a>00167 <span class="comment">// Map to subset the actual charset space.</span>
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<a name="l00168"></a>00168 <span class="keyword">const</span> <a class="code" href="a00416.html">IndexMapBiDi</a>* charset_map_;
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<a name="l00169"></a>00169 <span class="comment">// Shape table to recombine character classes into shapes</span>
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<a name="l00170"></a>00170 <span class="keyword">const</span> <a class="code" href="a00544.html">ShapeTable</a>* shape_table_;
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<a name="l00171"></a>00171 <span class="comment">// The samples to iterate over.</span>
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<a name="l00172"></a>00172 <a class="code" href="a00631.html">TrainingSampleSet</a>* sample_set_;
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<a name="l00173"></a>00173 <span class="comment">// Flag to control randomizing the sample features.</span>
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<a name="l00174"></a>00174 <span class="keywordtype">bool</span> randomize_;
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<a name="l00175"></a>00175 <span class="comment">// Shape table owned by this used to iterate character classes.</span>
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<a name="l00176"></a>00176 <a class="code" href="a00544.html">ShapeTable</a>* owned_shape_table_;
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<a name="l00177"></a>00177
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<a name="l00178"></a>00178 <span class="comment">// Top-level iteration. Shape index in sparse charset_map space.</span>
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<a name="l00179"></a>00179 <span class="keywordtype">int</span> shape_index_;
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<a name="l00180"></a>00180 <span class="keywordtype">int</span> num_shapes_;
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<a name="l00181"></a>00181 <span class="comment">// Index to the character class within a shape.</span>
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<a name="l00182"></a>00182 <span class="keywordtype">int</span> shape_char_index_;
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<a name="l00183"></a>00183 <span class="keywordtype">int</span> num_shape_chars_;
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<a name="l00184"></a>00184 <span class="comment">// Index to the font within a shape/class pair.</span>
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<a name="l00185"></a>00185 <span class="keywordtype">int</span> shape_font_index_;
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<a name="l00186"></a>00186 <span class="keywordtype">int</span> num_shape_fonts_;
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<a name="l00187"></a>00187 <span class="comment">// The lowest level iteration. sample_index_/num_samples_ counts samples</span>
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<a name="l00188"></a>00188 <span class="comment">// in the current shape/class/font combination.</span>
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<a name="l00189"></a>00189 <span class="keywordtype">int</span> sample_index_;
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<a name="l00190"></a>00190 <span class="keywordtype">int</span> num_samples_;
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<a name="l00191"></a>00191 };
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<a name="l00192"></a>00192
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<a name="l00193"></a>00193 } <span class="comment">// namespace tesseract.</span>
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<a name="l00194"></a>00194
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<a name="l00195"></a>00195 <span class="preprocessor">#endif // TESSERACT_CLASSIFY_SAMPLEITERATOR_H_</span>
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<li class="navelem"><a class="el" href="a00937.html">sampleiterator.h</a> </li>
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