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+<a href="#nested-classes">Data Structures</a> |
+<a href="#func-members">Functions</a> </div>
+ <div class="headertitle">
+<div class="title">appCNNScene<div class="ingroups"><a class="el" href="group__appCNN.html">appCNN</a></div></div> </div>
+</div><!--header-->
+<div class="contents">
+
+<p>CNN scene labeling application.
+<a href="#details">More...</a></p>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
+Data Structures</h2></td></tr>
+<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>
+<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<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>
+<tr class="memdesc:ga656def3c972943463bee38f746074b79"><td class="mdescLeft"> </td><td class="mdescRight">Return the labeling accuracy. <a href="#ga656def3c972943463bee38f746074b79">More...</a><br/></td></tr>
+<tr class="separator:ga656def3c972943463bee38f746074b79"><td class="memSeparator" colspan="2"> </td></tr>
+<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>
+<tr class="memdesc:gaf308ce265a25eed146051684e2da2671"><td class="mdescLeft"> </td><td class="mdescRight">Supervised training on the dataset. <a href="#gaf308ce265a25eed146051684e2da2671">More...</a><br/></td></tr>
+<tr class="separator:gaf308ce265a25eed146051684e2da2671"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ga38cb0fe9d4fb06709a7e9330911c9431"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="ga38cb0fe9d4fb06709a7e9330911c9431"></a>
+int </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#ga38cb0fe9d4fb06709a7e9330911c9431">appCNNSceneSBDTraining</a> ()</td></tr>
+<tr class="memdesc:ga38cb0fe9d4fb06709a7e9330911c9431"><td class="mdescLeft"> </td><td class="mdescRight">Scene labeling training example. <br/></td></tr>
+<tr class="separator:ga38cb0fe9d4fb06709a7e9330911c9431"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:gaa2f9ce79a0aaf4a15ef414ac09f0ca7d"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="gaa2f9ce79a0aaf4a15ef414ac09f0ca7d"></a>
+int </td><td class="memItemRight" valign="bottom"><a class="el" href="group__appCNNScene.html#gaa2f9ce79a0aaf4a15ef414ac09f0ca7d">appCNNSceneSBDTesting</a> ()</td></tr>
+<tr class="memdesc:gaa2f9ce79a0aaf4a15ef414ac09f0ca7d"><td class="mdescLeft"> </td><td class="mdescRight">Standford Backgournd Database Scene labeling testing example. <br/></td></tr>
+<tr class="separator:gaa2f9ce79a0aaf4a15ef414ac09f0ca7d"><td class="memSeparator" colspan="2"> </td></tr>
+<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>
+<tr class="memdesc:ga4924a13edce94afaba52667d78ef7256"><td class="mdescLeft"> </td><td class="mdescRight">Pixel label classification. <a href="#ga4924a13edce94afaba52667d78ef7256">More...</a><br/></td></tr>
+<tr class="separator:ga4924a13edce94afaba52667d78ef7256"><td class="memSeparator" colspan="2"> </td></tr>
+<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>
+<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>
+<tr class="separator:gae6081de152d81c0f91f2ce6f53683848"><td class="memSeparator" colspan="2"> </td></tr>
+<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>
+<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>
+<tr class="separator:ga963efff2a4368b6ddc7340d8e24e69bc"><td class="memSeparator" colspan="2"> </td></tr>
+<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>
+<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>
+<tr class="separator:ga40b5369e66533ed261ba62199b223cff"><td class="memSeparator" colspan="2"> </td></tr>
+<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>
+<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>
+<tr class="separator:gad77aeeb63649011f260d9c475bef945d"><td class="memSeparator" colspan="2"> </td></tr>
+<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>
+<tr class="memdesc:ga99dbed533d0ee1089e655bb3bc507a62"><td class="mdescLeft"> </td><td class="mdescRight">Fill the label matrix. <a href="#ga99dbed533d0ee1089e655bb3bc507a62">More...</a><br/></td></tr>
+<tr class="separator:ga99dbed533d0ee1089e655bb3bc507a62"><td class="memSeparator" colspan="2"> </td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<p>CNN scene labeling application. </p>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="ga656def3c972943463bee38f746074b79"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">float appCNNSceneAccuracy </td>
+ <td>(</td>
+ <td class="paramtype">int * </td>
+ <td class="paramname"><em>labelMatrix</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int * </td>
+ <td class="paramname"><em>trueLabelMatrix</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>dim</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Return the labeling accuracy. </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">labelMatrix</td><td>Generated label matrix </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">trueLabelMatrix</td><td>True label matrix </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim</td><td>Dimension of the label matrix </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>Labeling accuracy percentage </dd></dl>
+
+</div>
+</div>
+<a class="anchor" id="ga4924a13edce94afaba52667d78ef7256"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">int appCNNSceneClassify </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> * </td>
+ <td class="paramname"><em>cnn</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="structtimlUtilImage.html">timlUtilImage</a> </td>
+ <td class="paramname"><em>image</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int * </td>
+ <td class="paramname"><em>labelMatrix</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>scale</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Pixel label classification. </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">cnn</td><td>CNN </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">image</td><td>Image </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">labelMatrix</td><td>Generated label matrix </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">scale</td><td>Down scaling factor of the label matrix </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
+
+</div>
+</div>
+<a class="anchor" id="gad77aeeb63649011f260d9c475bef945d"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">int appCNNSceneClassifyOpenMP </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> ** </td>
+ <td class="paramname"><em>cnnTeam</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>teamNum</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float * </td>
+ <td class="paramname"><em>data</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>row</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>col</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>channel</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int * </td>
+ <td class="paramname"><em>labelMatrix</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>scale</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Supervised training on the dataset using openmp. </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">cnnTeam</td><td>An array of CNNs that share the same parameters </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">teamNum</td><td>Team number </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">data</td><td>Image data </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">row</td><td>Image row </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">col</td><td>Image col </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">channel</td><td>Image channel </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">labelMatrix</td><td>Generated label matrix </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">scale</td><td>Down scaling factor of the label matrix </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
+
+</div>
+</div>
+<a class="anchor" id="ga963efff2a4368b6ddc7340d8e24e69bc"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">int appCNNSceneGetLabel </td>
+ <td>(</td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>imageIdx</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>rowIdx</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>colIdx</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> * </td>
+ <td class="paramname"><em>dataSet</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Return the pixel label for (image, row, col) index combination. </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">imageIdx</td><td>Image index </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">rowIdx</td><td>Row index </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">colIdx</td><td>Col index </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dataSet</td><td>Data set </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>Pixel label </dd></dl>
+
+</div>
+</div>
+<a class="anchor" id="ga40b5369e66533ed261ba62199b223cff"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">int appCNNSceneGetPatch </td>
+ <td>(</td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>imageIdx</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>rowIdx</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>colIdx</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> * </td>
+ <td class="paramname"><em>dataSet</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float * </td>
+ <td class="paramname"><em>patch</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Return the image patch for (image, row, col) index combination. </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">imageIdx</td><td>image index </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">rowIdx</td><td>row index </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">colIdx</td><td>col index </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dataSet</td><td>data set </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">patch</td><td>image patch </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
+
+</div>
+</div>
+<a class="anchor" id="ga99dbed533d0ee1089e655bb3bc507a62"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">int appCNNSceneLabelMatrix </td>
+ <td>(</td>
+ <td class="paramtype">float * </td>
+ <td class="paramname"><em>map</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>row</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>col</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>channel</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>m</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>k</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int * </td>
+ <td class="paramname"><em>labelMatrix</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>numRow</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>numCol</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Fill the label matrix. </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">map</td><td>Feature map output of a CNN </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">row</td><td>Image row </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">col</td><td>Image col </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">channel</td><td>Image channel </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">m</td><td>Row Index </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">k</td><td>Col Index </td></tr>
+ <tr><td class="paramdir">[out]</td><td class="paramname">labelMatrix</td><td>Label matrix </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">numRow</td><td>Num of rows </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">numCol</td><td>Num of cols </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
+
+</div>
+</div>
+<a class="anchor" id="gae6081de152d81c0f91f2ce6f53683848"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">int appCNNSceneShuffleIdx </td>
+ <td>(</td>
+ <td class="paramtype">int * </td>
+ <td class="paramname"><em>imageIdx</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int * </td>
+ <td class="paramname"><em>rowIdx</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int * </td>
+ <td class="paramname"><em>colIdx</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> * </td>
+ <td class="paramname"><em>dataSet</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Shuffles the (image, row, col) index combination from the data set. </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">imageIdx</td><td>Image index array ptr </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">rowIdx</td><td>Row index array ptr </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">colIdx</td><td>Col index array ptr </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dataSet</td><td>Data set </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
+
+</div>
+</div>
+<a class="anchor" id="gaf308ce265a25eed146051684e2da2671"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">int appCNNSceneSupervisedTraining </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> * </td>
+ <td class="paramname"><em>cnn</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="structappCNNSceneDataSet.html">appCNNSceneDataSet</a> * </td>
+ <td class="paramname"><em>dataSet</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Supervised training on the dataset. </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">cnn</td><td>CNN </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dataSet</td><td>Data set </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>Error code </dd></dl>
+
+</div>
+</div>
+</div><!-- contents -->
+<!-- start footer part -->
+<hr class="footer"/><address class="footer"><small>
+Generated on Fri Mar 20 2015 11:26:08 for TIML by  <a href="http://www.doxygen.org/index.html">
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