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<div class="title">ModelAccuracyChecker.hpp</div> </div>
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<a href="_model_accuracy_checker_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_assert_8hpp.xhtml">armnn/utility/Assert.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <mapbox/variant.hpp></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <cstddef></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <functional></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <iostream></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <map></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn_utils.xhtml">armnnUtils</a></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div><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="comment">// Category names associated with a label</span></div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece"> 25</a></span> <span class="keyword">using</span> <a class="code" href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece">LabelCategoryNames</a> = std::vector<std::string>;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">/** Split a string into tokens by a delimiter</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> *</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> * @param[in] originalString Original string to be split</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> * @param[in] delimiter Delimiter used to split \p originalString</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"> * @param[in] includeEmptyToekn If true, include empty tokens in the result</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> * @return A vector of tokens split from \p originalString by \delimiter</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"> */</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> std::vector<std::string></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <a class="code" href="namespacearmnn_utils.xhtml#a158a68b143d2564fa1ca047646cf4185">SplitBy</a>(<span class="keyword">const</span> std::string& originalString, <span class="keyword">const</span> std::string& delimiter = <span class="stringliteral">" "</span>, <span class="keywordtype">bool</span> includeEmptyToken = <span class="keyword">false</span>);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment">/** Remove any preceding and trailing character specified in the characterSet.</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> *</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"> * @param[in] originalString Original string to be stripped</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> * @param[in] characterSet Set of characters to be stripped from \p originalString</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"> * @return A string stripped of all characters specified in \p characterSet from \p originalString</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"> */</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> std::string <a class="code" href="namespacearmnn_utils.xhtml#a14be0364a6fc0975d45e84737dfe21bc">Strip</a>(<span class="keyword">const</span> std::string& originalString, <span class="keyword">const</span> std::string& characterSet = <span class="stringliteral">" "</span>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml"> 45</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml">ModelAccuracyChecker</a></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> /** Constructor for a model top k accuracy checker</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> *</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> * @param[in] validationLabelSet Mapping from names of images to be validated, to category names of their</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> corresponding ground-truth labels.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> * @param[in] modelOutputLabels Mapping from output nodes to the category names of their corresponding labels</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> Note that an output node can have multiple category names.</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> */</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a143dac91f5ef85d672e7bccb0358e3f7">ModelAccuracyChecker</a>(<span class="keyword">const</span> std::map<std::string, std::string>& validationLabelSet,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">const</span> std::vector<LabelCategoryNames>& modelOutputLabels);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"></span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> /** Get Top K accuracy</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> *</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> * @param[in] k The number of top predictions to use for validating the ground-truth label. For example, if \p k is</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> 3, then a prediction is considered correct as long as the ground-truth appears in the top 3</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> predictions.</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"> * @return The accuracy, according to the top \p k th predictions.</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> */</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">float</span> <a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"></span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> /** Record the prediction result of an image</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> *</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"> * @param[in] imageName Name of the image.</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"> * @param[in] outputTensor Output tensor of the network running \p imageName.</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment"> */</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> TContainer></div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a38d140dac29d228fdd1681e465507c29"> 73</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a38d140dac29d228fdd1681e465507c29">AddImageResult</a>(<span class="keyword">const</span> std::string& imageName, std::vector<TContainer> outputTensor)</div><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="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> std::map<std::string, std::string> m_GroundTruthLabelSet;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">const</span> std::vector<LabelCategoryNames> m_ModelOutputLabels;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  std::vector<unsigned int> m_TopK = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_ImagesProcessed = 0;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> };</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> } <span class="comment">//namespace armnnUtils</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="ttc" id="classarmnn_utils_1_1_model_accuracy_checker_xhtml_a143dac91f5ef85d672e7bccb0358e3f7"><div class="ttname"><a href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a143dac91f5ef85d672e7bccb0358e3f7">armnnUtils::ModelAccuracyChecker::ModelAccuracyChecker</a></div><div class="ttdeci">ModelAccuracyChecker(const std::map< std::string, std::string > &validationLabelSet, const std::vector< LabelCategoryNames > &modelOutputLabels)</div><div class="ttdoc">Constructor for a model top k accuracy checker. </div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8cpp_source.xhtml#l00016">ModelAccuracyChecker.cpp:16</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_model_accuracy_checker_xhtml_ad6ddd3b77dd12eb33875d58a391b2412"><div class="ttname"><a href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#ad6ddd3b77dd12eb33875d58a391b2412">armnnUtils::ModelAccuracyChecker::GetAccuracy</a></div><div class="ttdeci">float GetAccuracy(unsigned int k)</div><div class="ttdoc">Get Top K accuracy. </div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8cpp_source.xhtml#l00022">ModelAccuracyChecker.cpp:22</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_model_accuracy_checker_xhtml_a38d140dac29d228fdd1681e465507c29"><div class="ttname"><a href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a38d140dac29d228fdd1681e465507c29">armnnUtils::ModelAccuracyChecker::AddImageResult</a></div><div class="ttdeci">void AddImageResult(const std::string &imageName, std::vector< TContainer > outputTensor)</div><div class="ttdoc">Record the prediction result of an image. </div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8hpp_source.xhtml#l00073">ModelAccuracyChecker.hpp:73</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_a14be0364a6fc0975d45e84737dfe21bc"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a14be0364a6fc0975d45e84737dfe21bc">armnnUtils::Strip</a></div><div class="ttdeci">std::string Strip(const std::string &originalString, const std::string &characterSet)</div><div class="ttdoc">Remove any preceding and trailing character specified in the characterSet. </div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8cpp_source.xhtml#l00064">ModelAccuracyChecker.cpp:64</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_a158a68b143d2564fa1ca047646cf4185"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a158a68b143d2564fa1ca047646cf4185">armnnUtils::SplitBy</a></div><div class="ttdeci">std::vector< std::string > SplitBy(const std::string &originalString, const std::string &delimiter, bool includeEmptyToken)</div><div class="ttdoc">Split a string into tokens by a delimiter. </div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8cpp_source.xhtml#l00040">ModelAccuracyChecker.cpp:40</a></div></div>
<div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml"><div class="ttname"><a href="_assert_8hpp.xhtml">Assert.hpp</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_model_accuracy_checker_xhtml"><div class="ttname"><a href="classarmnn_utils_1_1_model_accuracy_checker.xhtml">armnnUtils::ModelAccuracyChecker</a></div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8hpp_source.xhtml#l00045">ModelAccuracyChecker.hpp:45</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml"><div class="ttname"><a href="namespacearmnn_utils.xhtml">armnnUtils</a></div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00013">DataLayoutIndexed.hpp:13</a></div></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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