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<p><code>#include <<a class="el" href="_model_accuracy_checker_8hpp_source.xhtml">ModelAccuracyChecker.hpp</a>></code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a143dac91f5ef85d672e7bccb0358e3f7"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a143dac91f5ef85d672e7bccb0358e3f7">ModelAccuracyChecker</a> (const std::map< std::string, std::string > &validationLabelSet, const std::vector< <a class="el" href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece">LabelCategoryNames</a> > &modelOutputLabels)</td></tr>
<tr class="memdesc:a143dac91f5ef85d672e7bccb0358e3f7"><td class="mdescLeft"> </td><td class="mdescRight">Constructor for a model top k accuracy checker. <a href="#a143dac91f5ef85d672e7bccb0358e3f7">More...</a><br /></td></tr>
<tr class="separator:a143dac91f5ef85d672e7bccb0358e3f7"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ad6ddd3b77dd12eb33875d58a391b2412"><td class="memItemLeft" align="right" valign="top">float </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a> (unsigned int k)</td></tr>
<tr class="memdesc:ad6ddd3b77dd12eb33875d58a391b2412"><td class="mdescLeft"> </td><td class="mdescRight">Get Top K accuracy. <a href="#ad6ddd3b77dd12eb33875d58a391b2412">More...</a><br /></td></tr>
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<tr class="memitem:a38d140dac29d228fdd1681e465507c29"><td class="memTemplParams" colspan="2">template<typename TContainer > </td></tr>
<tr class="memitem:a38d140dac29d228fdd1681e465507c29"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a38d140dac29d228fdd1681e465507c29">AddImageResult</a> (const std::string &imageName, std::vector< <a class="el" href="namespacearmnn.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> > outputTensor)</td></tr>
<tr class="memdesc:a38d140dac29d228fdd1681e465507c29"><td class="mdescLeft"> </td><td class="mdescRight">Record the prediction result of an image. <a href="#a38d140dac29d228fdd1681e465507c29">More...</a><br /></td></tr>
<tr class="separator:a38d140dac29d228fdd1681e465507c29"><td class="memSeparator" colspan="2"> </td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock">
<p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8hpp_source.xhtml#l00045">45</a> of file <a class="el" href="_model_accuracy_checker_8hpp_source.xhtml">ModelAccuracyChecker.hpp</a>.</p>
</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
<a id="a143dac91f5ef85d672e7bccb0358e3f7"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a143dac91f5ef85d672e7bccb0358e3f7">◆ </a></span>ModelAccuracyChecker()</h2>
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<td class="memname"><a class="el" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml">ModelAccuracyChecker</a> </td>
<td>(</td>
<td class="paramtype">const std::map< std::string, std::string > & </td>
<td class="paramname"><em>validationLabelSet</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::vector< <a class="el" href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece">LabelCategoryNames</a> > & </td>
<td class="paramname"><em>modelOutputLabels</em> </td>
</tr>
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<td></td>
<td>)</td>
<td></td><td></td>
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<p>Constructor for a model top k accuracy checker. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">validationLabelSet</td><td>Mapping from names of images to be validated, to category names of their corresponding ground-truth labels. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">modelOutputLabels</td><td>Mapping from output nodes to the category names of their corresponding labels Note that an output node can have multiple category names. </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8cpp_source.xhtml#l00016">16</a> of file <a class="el" href="_model_accuracy_checker_8cpp_source.xhtml">ModelAccuracyChecker.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  : m_GroundTruthLabelSet(validationLabels)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  , m_ModelOutputLabels(modelOutputLabels)</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {}</div></div><!-- fragment -->
</div>
</div>
<h2 class="groupheader">Member Function Documentation</h2>
<a id="a38d140dac29d228fdd1681e465507c29"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a38d140dac29d228fdd1681e465507c29">◆ </a></span>AddImageResult()</h2>
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<td class="memname">void AddImageResult </td>
<td>(</td>
<td class="paramtype">const std::string & </td>
<td class="paramname"><em>imageName</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::vector< <a class="el" href="namespacearmnn.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> > </td>
<td class="paramname"><em>outputTensor</em> </td>
</tr>
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<td></td>
<td>)</td>
<td></td><td></td>
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<td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span> </td>
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<p>Record the prediction result of an image. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">imageName</td><td>Name of the image. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">outputTensor</td><td>Output tensor of the network running <code>imageName</code>. </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8hpp_source.xhtml#l00073">73</a> of file <a class="el" href="_model_accuracy_checker_8hpp_source.xhtml">ModelAccuracyChecker.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_model_accuracy_checker_test_8cpp_source.xhtml#l00057">BOOST_FIXTURE_TEST_CASE()</a>.</p>
<div class="fragment"><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// Increment the total number of images processed</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  ++m_ImagesProcessed;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  std::map<int, float> confidenceMap;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">auto</span>& output = outputTensor[0];</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// Create a map of all predictions</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  mapbox::util::apply_visitor([&confidenceMap](<span class="keyword">auto</span> && value)</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordtype">int</span> index = 0;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> & o : value)</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">if</span> (o > 0)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  confidenceMap.insert(std::pair<int, float>(index, static_cast<float>(o)));</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  ++index;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  },</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  output);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Create a comparator for sorting the map in order of highest probability</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">typedef</span> std::function<bool(std::pair<int, float>, std::pair<int, float>)> Comparator;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  Comparator compFunctor =</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  [](std::pair<int, float> element1, std::pair<int, float> element2)</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> element1.second > element2.second;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  };</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// Do the sorting and store in an ordered set</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  std::set<std::pair<int, float>, Comparator> setOfPredictions(</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  confidenceMap.begin(), confidenceMap.end(), compFunctor);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">const</span> std::string correctLabel = m_GroundTruthLabelSet.at(imageName);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 1;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">for</span> (std::pair<int, float> element : setOfPredictions)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">if</span> (index >= m_TopK.size())</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  }</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// Check if the ground truth label value is included in the topi prediction.</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="comment">// Note that a prediction can have multiple prediction labels.</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece">LabelCategoryNames</a> predictionLabels = m_ModelOutputLabels[<span class="keyword">static_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(element.first)];</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">if</span> (std::find(predictionLabels.begin(), predictionLabels.end(), correctLabel) != predictionLabels.end())</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  ++m_TopK[index];</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  }</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  ++index;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div><div class="ttc" id="namespacearmnn_utils_xhtml_ab175d8bf2482d5a39c2331d1f0ddcece"><div class="ttname"><a href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece">armnnUtils::LabelCategoryNames</a></div><div class="ttdeci">std::vector< std::string > LabelCategoryNames</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8hpp_source.xhtml#l00025">ModelAccuracyChecker.hpp:25</a></div></div>
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<a id="ad6ddd3b77dd12eb33875d58a391b2412"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ad6ddd3b77dd12eb33875d58a391b2412">◆ </a></span>GetAccuracy()</h2>
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<td class="memname">float GetAccuracy </td>
<td>(</td>
<td class="paramtype">unsigned int </td>
<td class="paramname"><em>k</em></td><td>)</td>
<td></td>
</tr>
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</div><div class="memdoc">
<p>Get Top K accuracy. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">k</td><td>The number of top predictions to use for validating the ground-truth label. For example, if <code>k</code> is 3, then a prediction is considered correct as long as the ground-truth appears in the top 3 predictions. </td></tr>
</table>
</dd>
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<dl class="section return"><dt>Returns</dt><dd>The accuracy, according to the top <code>k</code> th predictions. </dd></dl>
<p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8cpp_source.xhtml#l00022">22</a> of file <a class="el" href="_model_accuracy_checker_8cpp_source.xhtml">ModelAccuracyChecker.cpp</a>.</p>
<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00202">ARMNN_LOG</a>, and <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::warning</a>.</p>
<p class="reference">Referenced by <a class="el" href="_model_accuracy_checker_test_8cpp_source.xhtml#l00057">BOOST_FIXTURE_TEST_CASE()</a>.</p>
<div class="fragment"><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordflow">if</span> (k > 10)</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  {</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) << <span class="stringliteral">"Accuracy Tool only supports a maximum of Top 10 Accuracy. "</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="stringliteral">"Printing Top 10 Accuracy result!"</span>;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  k = 10;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  }</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> total = 0;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = k; i > 0; --i)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  total += m_TopK[i];</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  }</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(total * 100) / static_cast<float>(m_ImagesProcessed);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> }</div><div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00202">Logging.hpp:202</a></div></div>
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<hr/>The documentation for this class was generated from the following files:<ul>
<li>src/armnnUtils/<a class="el" href="_model_accuracy_checker_8hpp_source.xhtml">ModelAccuracyChecker.hpp</a></li>
<li>src/armnnUtils/<a class="el" href="_model_accuracy_checker_8cpp_source.xhtml">ModelAccuracyChecker.cpp</a></li>
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