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79 <a href="#nested-classes">Data Structures</a> |
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81 <div class="headertitle">
82 <div class="title">appCNNScene<div class="ingroups"><a class="el" href="group__appCNN.html">appCNN</a></div></div> </div>
83 </div><!--header-->
84 <div class="contents">
86 <p>CNN scene labeling application.
87 <a href="#details">More...</a></p>
88 <table class="memberdecls">
89 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
90 Data Structures</h2></td></tr>
91 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a></td></tr>
92 <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
93 </table><table class="memberdecls">
94 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
95 Functions</h2></td></tr>
96 <tr class="memitem:ga656def3c972943463bee38f746074b79"><td class="memItemLeft" align="right" valign="top">float </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#ga656def3c972943463bee38f746074b79">appCNNSceneAccuracy</a> (int *labelMatrix, int *trueLabelMatrix, int dim)</td></tr>
97 <tr class="memdesc:ga656def3c972943463bee38f746074b79"><td class="mdescLeft"> </td><td class="mdescRight">Return the labeling accuracy. <a href="#ga656def3c972943463bee38f746074b79">More...</a><br/></td></tr>
98 <tr class="separator:ga656def3c972943463bee38f746074b79"><td class="memSeparator" colspan="2"> </td></tr>
99 <tr class="memitem:gaf308ce265a25eed146051684e2da2671"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#gaf308ce265a25eed146051684e2da2671">appCNNSceneSupervisedTraining</a> (<a class="el" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> *dataSet)</td></tr>
100 <tr class="memdesc:gaf308ce265a25eed146051684e2da2671"><td class="mdescLeft"> </td><td class="mdescRight">Supervised training on the dataset. <a href="#gaf308ce265a25eed146051684e2da2671">More...</a><br/></td></tr>
101 <tr class="separator:gaf308ce265a25eed146051684e2da2671"><td class="memSeparator" colspan="2"> </td></tr>
102 <tr class="memitem:ga38cb0fe9d4fb06709a7e9330911c9431"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="ga38cb0fe9d4fb06709a7e9330911c9431"></a>
103 int </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#ga38cb0fe9d4fb06709a7e9330911c9431">appCNNSceneSBDTraining</a> ()</td></tr>
104 <tr class="memdesc:ga38cb0fe9d4fb06709a7e9330911c9431"><td class="mdescLeft"> </td><td class="mdescRight">Scene labeling training example. <br/></td></tr>
105 <tr class="separator:ga38cb0fe9d4fb06709a7e9330911c9431"><td class="memSeparator" colspan="2"> </td></tr>
106 <tr class="memitem:gaa2f9ce79a0aaf4a15ef414ac09f0ca7d"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="gaa2f9ce79a0aaf4a15ef414ac09f0ca7d"></a>
107 int </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#gaa2f9ce79a0aaf4a15ef414ac09f0ca7d">appCNNSceneSBDTesting</a> ()</td></tr>
108 <tr class="memdesc:gaa2f9ce79a0aaf4a15ef414ac09f0ca7d"><td class="mdescLeft"> </td><td class="mdescRight">Standford Backgournd Database Scene labeling testing example. <br/></td></tr>
109 <tr class="separator:gaa2f9ce79a0aaf4a15ef414ac09f0ca7d"><td class="memSeparator" colspan="2"> </td></tr>
110 <tr class="memitem:ga4924a13edce94afaba52667d78ef7256"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#ga4924a13edce94afaba52667d78ef7256">appCNNSceneClassify</a> (<a class="el" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <a class="el" href="structtimlUtilImage.html">timlUtilImage</a> image, int *labelMatrix, int scale)</td></tr>
111 <tr class="memdesc:ga4924a13edce94afaba52667d78ef7256"><td class="mdescLeft"> </td><td class="mdescRight">Pixel label classification. <a href="#ga4924a13edce94afaba52667d78ef7256">More...</a><br/></td></tr>
112 <tr class="separator:ga4924a13edce94afaba52667d78ef7256"><td class="memSeparator" colspan="2"> </td></tr>
113 <tr class="memitem:gae6081de152d81c0f91f2ce6f53683848"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#gae6081de152d81c0f91f2ce6f53683848">appCNNSceneShuffleIdx</a> (int *imageIdx, int *rowIdx, int *colIdx, <a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> *dataSet)</td></tr>
114 <tr class="memdesc:gae6081de152d81c0f91f2ce6f53683848"><td class="mdescLeft"> </td><td class="mdescRight">Shuffles the (image, row, col) index combination from the data set. <a href="#gae6081de152d81c0f91f2ce6f53683848">More...</a><br/></td></tr>
115 <tr class="separator:gae6081de152d81c0f91f2ce6f53683848"><td class="memSeparator" colspan="2"> </td></tr>
116 <tr class="memitem:ga963efff2a4368b6ddc7340d8e24e69bc"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#ga963efff2a4368b6ddc7340d8e24e69bc">appCNNSceneGetLabel</a> (int imageIdx, int rowIdx, int colIdx, <a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> *dataSet)</td></tr>
117 <tr class="memdesc:ga963efff2a4368b6ddc7340d8e24e69bc"><td class="mdescLeft"> </td><td class="mdescRight">Return the pixel label for (image, row, col) index combination. <a href="#ga963efff2a4368b6ddc7340d8e24e69bc">More...</a><br/></td></tr>
118 <tr class="separator:ga963efff2a4368b6ddc7340d8e24e69bc"><td class="memSeparator" colspan="2"> </td></tr>
119 <tr class="memitem:ga40b5369e66533ed261ba62199b223cff"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#ga40b5369e66533ed261ba62199b223cff">appCNNSceneGetPatch</a> (int imageIdx, int rowIdx, int colIdx, <a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> *dataSet, float *patch)</td></tr>
120 <tr class="memdesc:ga40b5369e66533ed261ba62199b223cff"><td class="mdescLeft"> </td><td class="mdescRight">Return the image patch for (image, row, col) index combination. <a href="#ga40b5369e66533ed261ba62199b223cff">More...</a><br/></td></tr>
121 <tr class="separator:ga40b5369e66533ed261ba62199b223cff"><td class="memSeparator" colspan="2"> </td></tr>
122 <tr class="memitem:gad77aeeb63649011f260d9c475bef945d"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#gad77aeeb63649011f260d9c475bef945d">appCNNSceneClassifyOpenMP</a> (<a class="el" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> **cnnTeam, int teamNum, float *data, int row, int col, int channel, int *labelMatrix, int scale)</td></tr>
123 <tr class="memdesc:gad77aeeb63649011f260d9c475bef945d"><td class="mdescLeft"> </td><td class="mdescRight">Supervised training on the dataset using openmp. <a href="#gad77aeeb63649011f260d9c475bef945d">More...</a><br/></td></tr>
124 <tr class="separator:gad77aeeb63649011f260d9c475bef945d"><td class="memSeparator" colspan="2"> </td></tr>
125 <tr class="memitem:ga99dbed533d0ee1089e655bb3bc507a62"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#ga99dbed533d0ee1089e655bb3bc507a62">appCNNSceneLabelMatrix</a> (float *map, int row, int col, int channel, int m, int k, int *labelMatrix, int numRow, int numCol)</td></tr>
126 <tr class="memdesc:ga99dbed533d0ee1089e655bb3bc507a62"><td class="mdescLeft"> </td><td class="mdescRight">Fill the label matrix. <a href="#ga99dbed533d0ee1089e655bb3bc507a62">More...</a><br/></td></tr>
127 <tr class="separator:ga99dbed533d0ee1089e655bb3bc507a62"><td class="memSeparator" colspan="2"> </td></tr>
128 </table>
129 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
130 <p>CNN scene labeling application. </p>
131 <h2 class="groupheader">Function Documentation</h2>
132 <a class="anchor" id="ga656def3c972943463bee38f746074b79"></a>
133 <div class="memitem">
134 <div class="memproto">
135 <table class="memname">
136 <tr>
137 <td class="memname">float appCNNSceneAccuracy </td>
138 <td>(</td>
139 <td class="paramtype">int * </td>
140 <td class="paramname"><em>labelMatrix</em>, </td>
141 </tr>
142 <tr>
143 <td class="paramkey"></td>
144 <td></td>
145 <td class="paramtype">int * </td>
146 <td class="paramname"><em>trueLabelMatrix</em>, </td>
147 </tr>
148 <tr>
149 <td class="paramkey"></td>
150 <td></td>
151 <td class="paramtype">int </td>
152 <td class="paramname"><em>dim</em> </td>
153 </tr>
154 <tr>
155 <td></td>
156 <td>)</td>
157 <td></td><td></td>
158 </tr>
159 </table>
160 </div><div class="memdoc">
162 <p>Return the labeling accuracy. </p>
163 <dl class="params"><dt>Parameters</dt><dd>
164 <table class="params">
165 <tr><td class="paramdir">[in]</td><td class="paramname">labelMatrix</td><td>Generated label matrix </td></tr>
166 <tr><td class="paramdir">[in]</td><td class="paramname">trueLabelMatrix</td><td>True label matrix </td></tr>
167 <tr><td class="paramdir">[in]</td><td class="paramname">dim</td><td>Dimension of the label matrix </td></tr>
168 </table>
169 </dd>
170 </dl>
171 <dl class="section return"><dt>Returns</dt><dd>Labeling accuracy percentage </dd></dl>
173 </div>
174 </div>
175 <a class="anchor" id="ga4924a13edce94afaba52667d78ef7256"></a>
176 <div class="memitem">
177 <div class="memproto">
178 <table class="memname">
179 <tr>
180 <td class="memname">int appCNNSceneClassify </td>
181 <td>(</td>
182 <td class="paramtype"><a class="el" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> * </td>
183 <td class="paramname"><em>cnn</em>, </td>
184 </tr>
185 <tr>
186 <td class="paramkey"></td>
187 <td></td>
188 <td class="paramtype"><a class="el" href="structtimlUtilImage.html">timlUtilImage</a> </td>
189 <td class="paramname"><em>image</em>, </td>
190 </tr>
191 <tr>
192 <td class="paramkey"></td>
193 <td></td>
194 <td class="paramtype">int * </td>
195 <td class="paramname"><em>labelMatrix</em>, </td>
196 </tr>
197 <tr>
198 <td class="paramkey"></td>
199 <td></td>
200 <td class="paramtype">int </td>
201 <td class="paramname"><em>scale</em> </td>
202 </tr>
203 <tr>
204 <td></td>
205 <td>)</td>
206 <td></td><td></td>
207 </tr>
208 </table>
209 </div><div class="memdoc">
211 <p>Pixel label classification. </p>
212 <dl class="params"><dt>Parameters</dt><dd>
213 <table class="params">
214 <tr><td class="paramdir">[in,out]</td><td class="paramname">cnn</td><td>CNN </td></tr>
215 <tr><td class="paramdir">[in]</td><td class="paramname">image</td><td>Image </td></tr>
216 <tr><td class="paramdir">[in,out]</td><td class="paramname">labelMatrix</td><td>Generated label matrix </td></tr>
217 <tr><td class="paramdir">[in]</td><td class="paramname">scale</td><td>Down scaling factor of the label matrix </td></tr>
218 </table>
219 </dd>
220 </dl>
221 <dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
223 </div>
224 </div>
225 <a class="anchor" id="gad77aeeb63649011f260d9c475bef945d"></a>
226 <div class="memitem">
227 <div class="memproto">
228 <table class="memname">
229 <tr>
230 <td class="memname">int appCNNSceneClassifyOpenMP </td>
231 <td>(</td>
232 <td class="paramtype"><a class="el" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> ** </td>
233 <td class="paramname"><em>cnnTeam</em>, </td>
234 </tr>
235 <tr>
236 <td class="paramkey"></td>
237 <td></td>
238 <td class="paramtype">int </td>
239 <td class="paramname"><em>teamNum</em>, </td>
240 </tr>
241 <tr>
242 <td class="paramkey"></td>
243 <td></td>
244 <td class="paramtype">float * </td>
245 <td class="paramname"><em>data</em>, </td>
246 </tr>
247 <tr>
248 <td class="paramkey"></td>
249 <td></td>
250 <td class="paramtype">int </td>
251 <td class="paramname"><em>row</em>, </td>
252 </tr>
253 <tr>
254 <td class="paramkey"></td>
255 <td></td>
256 <td class="paramtype">int </td>
257 <td class="paramname"><em>col</em>, </td>
258 </tr>
259 <tr>
260 <td class="paramkey"></td>
261 <td></td>
262 <td class="paramtype">int </td>
263 <td class="paramname"><em>channel</em>, </td>
264 </tr>
265 <tr>
266 <td class="paramkey"></td>
267 <td></td>
268 <td class="paramtype">int * </td>
269 <td class="paramname"><em>labelMatrix</em>, </td>
270 </tr>
271 <tr>
272 <td class="paramkey"></td>
273 <td></td>
274 <td class="paramtype">int </td>
275 <td class="paramname"><em>scale</em> </td>
276 </tr>
277 <tr>
278 <td></td>
279 <td>)</td>
280 <td></td><td></td>
281 </tr>
282 </table>
283 </div><div class="memdoc">
285 <p>Supervised training on the dataset using openmp. </p>
286 <dl class="params"><dt>Parameters</dt><dd>
287 <table class="params">
288 <tr><td class="paramdir">[in,out]</td><td class="paramname">cnnTeam</td><td>An array of CNNs that share the same parameters </td></tr>
289 <tr><td class="paramdir">[in]</td><td class="paramname">teamNum</td><td>Team number </td></tr>
290 <tr><td class="paramdir">[in]</td><td class="paramname">data</td><td>Image data </td></tr>
291 <tr><td class="paramdir">[in]</td><td class="paramname">row</td><td>Image row </td></tr>
292 <tr><td class="paramdir">[in]</td><td class="paramname">col</td><td>Image col </td></tr>
293 <tr><td class="paramdir">[in]</td><td class="paramname">channel</td><td>Image channel </td></tr>
294 <tr><td class="paramdir">[in,out]</td><td class="paramname">labelMatrix</td><td>Generated label matrix </td></tr>
295 <tr><td class="paramdir">[in]</td><td class="paramname">scale</td><td>Down scaling factor of the label matrix </td></tr>
296 </table>
297 </dd>
298 </dl>
299 <dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
301 </div>
302 </div>
303 <a class="anchor" id="ga963efff2a4368b6ddc7340d8e24e69bc"></a>
304 <div class="memitem">
305 <div class="memproto">
306 <table class="memname">
307 <tr>
308 <td class="memname">int appCNNSceneGetLabel </td>
309 <td>(</td>
310 <td class="paramtype">int </td>
311 <td class="paramname"><em>imageIdx</em>, </td>
312 </tr>
313 <tr>
314 <td class="paramkey"></td>
315 <td></td>
316 <td class="paramtype">int </td>
317 <td class="paramname"><em>rowIdx</em>, </td>
318 </tr>
319 <tr>
320 <td class="paramkey"></td>
321 <td></td>
322 <td class="paramtype">int </td>
323 <td class="paramname"><em>colIdx</em>, </td>
324 </tr>
325 <tr>
326 <td class="paramkey"></td>
327 <td></td>
328 <td class="paramtype"><a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> * </td>
329 <td class="paramname"><em>dataSet</em> </td>
330 </tr>
331 <tr>
332 <td></td>
333 <td>)</td>
334 <td></td><td></td>
335 </tr>
336 </table>
337 </div><div class="memdoc">
339 <p>Return the pixel label for (image, row, col) index combination. </p>
340 <dl class="params"><dt>Parameters</dt><dd>
341 <table class="params">
342 <tr><td class="paramdir">[in]</td><td class="paramname">imageIdx</td><td>Image index </td></tr>
343 <tr><td class="paramdir">[in]</td><td class="paramname">rowIdx</td><td>Row index </td></tr>
344 <tr><td class="paramdir">[in]</td><td class="paramname">colIdx</td><td>Col index </td></tr>
345 <tr><td class="paramdir">[in]</td><td class="paramname">dataSet</td><td>Data set </td></tr>
346 </table>
347 </dd>
348 </dl>
349 <dl class="section return"><dt>Returns</dt><dd>Pixel label </dd></dl>
351 </div>
352 </div>
353 <a class="anchor" id="ga40b5369e66533ed261ba62199b223cff"></a>
354 <div class="memitem">
355 <div class="memproto">
356 <table class="memname">
357 <tr>
358 <td class="memname">int appCNNSceneGetPatch </td>
359 <td>(</td>
360 <td class="paramtype">int </td>
361 <td class="paramname"><em>imageIdx</em>, </td>
362 </tr>
363 <tr>
364 <td class="paramkey"></td>
365 <td></td>
366 <td class="paramtype">int </td>
367 <td class="paramname"><em>rowIdx</em>, </td>
368 </tr>
369 <tr>
370 <td class="paramkey"></td>
371 <td></td>
372 <td class="paramtype">int </td>
373 <td class="paramname"><em>colIdx</em>, </td>
374 </tr>
375 <tr>
376 <td class="paramkey"></td>
377 <td></td>
378 <td class="paramtype"><a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> * </td>
379 <td class="paramname"><em>dataSet</em>, </td>
380 </tr>
381 <tr>
382 <td class="paramkey"></td>
383 <td></td>
384 <td class="paramtype">float * </td>
385 <td class="paramname"><em>patch</em> </td>
386 </tr>
387 <tr>
388 <td></td>
389 <td>)</td>
390 <td></td><td></td>
391 </tr>
392 </table>
393 </div><div class="memdoc">
395 <p>Return the image patch for (image, row, col) index combination. </p>
396 <dl class="params"><dt>Parameters</dt><dd>
397 <table class="params">
398 <tr><td class="paramdir">[in]</td><td class="paramname">imageIdx</td><td>image index </td></tr>
399 <tr><td class="paramdir">[in]</td><td class="paramname">rowIdx</td><td>row index </td></tr>
400 <tr><td class="paramdir">[in]</td><td class="paramname">colIdx</td><td>col index </td></tr>
401 <tr><td class="paramdir">[in]</td><td class="paramname">dataSet</td><td>data set </td></tr>
402 <tr><td class="paramdir">[in,out]</td><td class="paramname">patch</td><td>image patch </td></tr>
403 </table>
404 </dd>
405 </dl>
406 <dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
408 </div>
409 </div>
410 <a class="anchor" id="ga99dbed533d0ee1089e655bb3bc507a62"></a>
411 <div class="memitem">
412 <div class="memproto">
413 <table class="memname">
414 <tr>
415 <td class="memname">int appCNNSceneLabelMatrix </td>
416 <td>(</td>
417 <td class="paramtype">float * </td>
418 <td class="paramname"><em>map</em>, </td>
419 </tr>
420 <tr>
421 <td class="paramkey"></td>
422 <td></td>
423 <td class="paramtype">int </td>
424 <td class="paramname"><em>row</em>, </td>
425 </tr>
426 <tr>
427 <td class="paramkey"></td>
428 <td></td>
429 <td class="paramtype">int </td>
430 <td class="paramname"><em>col</em>, </td>
431 </tr>
432 <tr>
433 <td class="paramkey"></td>
434 <td></td>
435 <td class="paramtype">int </td>
436 <td class="paramname"><em>channel</em>, </td>
437 </tr>
438 <tr>
439 <td class="paramkey"></td>
440 <td></td>
441 <td class="paramtype">int </td>
442 <td class="paramname"><em>m</em>, </td>
443 </tr>
444 <tr>
445 <td class="paramkey"></td>
446 <td></td>
447 <td class="paramtype">int </td>
448 <td class="paramname"><em>k</em>, </td>
449 </tr>
450 <tr>
451 <td class="paramkey"></td>
452 <td></td>
453 <td class="paramtype">int * </td>
454 <td class="paramname"><em>labelMatrix</em>, </td>
455 </tr>
456 <tr>
457 <td class="paramkey"></td>
458 <td></td>
459 <td class="paramtype">int </td>
460 <td class="paramname"><em>numRow</em>, </td>
461 </tr>
462 <tr>
463 <td class="paramkey"></td>
464 <td></td>
465 <td class="paramtype">int </td>
466 <td class="paramname"><em>numCol</em> </td>
467 </tr>
468 <tr>
469 <td></td>
470 <td>)</td>
471 <td></td><td></td>
472 </tr>
473 </table>
474 </div><div class="memdoc">
476 <p>Fill the label matrix. </p>
477 <dl class="params"><dt>Parameters</dt><dd>
478 <table class="params">
479 <tr><td class="paramdir">[in]</td><td class="paramname">map</td><td>Feature map output of a CNN </td></tr>
480 <tr><td class="paramdir">[in]</td><td class="paramname">row</td><td>Image row </td></tr>
481 <tr><td class="paramdir">[in]</td><td class="paramname">col</td><td>Image col </td></tr>
482 <tr><td class="paramdir">[in]</td><td class="paramname">channel</td><td>Image channel </td></tr>
483 <tr><td class="paramdir">[in]</td><td class="paramname">m</td><td>Row Index </td></tr>
484 <tr><td class="paramdir">[in]</td><td class="paramname">k</td><td>Col Index </td></tr>
485 <tr><td class="paramdir">[out]</td><td class="paramname">labelMatrix</td><td>Label matrix </td></tr>
486 <tr><td class="paramdir">[in]</td><td class="paramname">numRow</td><td>Num of rows </td></tr>
487 <tr><td class="paramdir">[in]</td><td class="paramname">numCol</td><td>Num of cols </td></tr>
488 </table>
489 </dd>
490 </dl>
491 <dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
493 </div>
494 </div>
495 <a class="anchor" id="gae6081de152d81c0f91f2ce6f53683848"></a>
496 <div class="memitem">
497 <div class="memproto">
498 <table class="memname">
499 <tr>
500 <td class="memname">int appCNNSceneShuffleIdx </td>
501 <td>(</td>
502 <td class="paramtype">int * </td>
503 <td class="paramname"><em>imageIdx</em>, </td>
504 </tr>
505 <tr>
506 <td class="paramkey"></td>
507 <td></td>
508 <td class="paramtype">int * </td>
509 <td class="paramname"><em>rowIdx</em>, </td>
510 </tr>
511 <tr>
512 <td class="paramkey"></td>
513 <td></td>
514 <td class="paramtype">int * </td>
515 <td class="paramname"><em>colIdx</em>, </td>
516 </tr>
517 <tr>
518 <td class="paramkey"></td>
519 <td></td>
520 <td class="paramtype"><a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> * </td>
521 <td class="paramname"><em>dataSet</em> </td>
522 </tr>
523 <tr>
524 <td></td>
525 <td>)</td>
526 <td></td><td></td>
527 </tr>
528 </table>
529 </div><div class="memdoc">
531 <p>Shuffles the (image, row, col) index combination from the data set. </p>
532 <dl class="params"><dt>Parameters</dt><dd>
533 <table class="params">
534 <tr><td class="paramdir">[in,out]</td><td class="paramname">imageIdx</td><td>Image index array ptr </td></tr>
535 <tr><td class="paramdir">[in,out]</td><td class="paramname">rowIdx</td><td>Row index array ptr </td></tr>
536 <tr><td class="paramdir">[in,out]</td><td class="paramname">colIdx</td><td>Col index array ptr </td></tr>
537 <tr><td class="paramdir">[in]</td><td class="paramname">dataSet</td><td>Data set </td></tr>
538 </table>
539 </dd>
540 </dl>
541 <dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
543 </div>
544 </div>
545 <a class="anchor" id="gaf308ce265a25eed146051684e2da2671"></a>
546 <div class="memitem">
547 <div class="memproto">
548 <table class="memname">
549 <tr>
550 <td class="memname">int appCNNSceneSupervisedTraining </td>
551 <td>(</td>
552 <td class="paramtype"><a class="el" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> * </td>
553 <td class="paramname"><em>cnn</em>, </td>
554 </tr>
555 <tr>
556 <td class="paramkey"></td>
557 <td></td>
558 <td class="paramtype"><a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> * </td>
559 <td class="paramname"><em>dataSet</em> </td>
560 </tr>
561 <tr>
562 <td></td>
563 <td>)</td>
564 <td></td><td></td>
565 </tr>
566 </table>
567 </div><div class="memdoc">
569 <p>Supervised training on the dataset. </p>
570 <dl class="params"><dt>Parameters</dt><dd>
571 <table class="params">
572 <tr><td class="paramdir">[in,out]</td><td class="paramname">cnn</td><td>CNN </td></tr>
573 <tr><td class="paramdir">[in]</td><td class="paramname">dataSet</td><td>Data set </td></tr>
574 </table>
575 </dd>
576 </dl>
577 <dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
579 </div>
580 </div>
581 </div><!-- contents -->
582 <!-- start footer part -->
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