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<div class="title">DetectionPostProcess.cpp</div> </div>
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<a href="backends_2reference_2workloads_2_detection_post_process_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_detection_post_process_8hpp.xhtml">DetectionPostProcess.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;boost/assert.hpp&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;boost/numeric/conversion/cast.hpp&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;numeric&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;{</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae8ed5c640761fb6744aec0ee16388417"> 18</a></span>&#160;std::vector&lt;unsigned int&gt; <a class="code" href="namespacearmnn.xhtml#ae8ed5c640761fb6744aec0ee16388417">GenerateRangeK</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; std::vector&lt;unsigned int&gt; range(k);</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; std::iota(range.begin(), range.end(), 0);</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keywordflow">return</span> range;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;}</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a2748f45e58b1c612d473043f711d1434"> 25</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a2748f45e58b1c612d473043f711d1434">TopKSort</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* indices, <span class="keyword">const</span> <span class="keywordtype">float</span>* values, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numElement)</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;{</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; std::partial_sort(indices, indices + k, indices + numElement,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; [&amp;values](<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j) { <span class="keywordflow">return</span> values[i] &gt; values[j]; });</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;}</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abf6aad7bc221f8ad22b4d99cd020373b"> 31</a></span>&#160;<span class="keywordtype">float</span> <a class="code" href="namespacearmnn.xhtml#abf6aad7bc221f8ad22b4d99cd020373b">IntersectionOverUnion</a>(<span class="keyword">const</span> <span class="keywordtype">float</span>* boxI, <span class="keyword">const</span> <span class="keywordtype">float</span>* boxJ)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;{</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="comment">// Box-corner format: ymin, xmin, ymax, xmax.</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> yMin = 0;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> xMin = 1;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> yMax = 2;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> xMax = 3;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordtype">float</span> areaI = (boxI[yMax] - boxI[yMin]) * (boxI[xMax] - boxI[xMin]);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordtype">float</span> areaJ = (boxJ[yMax] - boxJ[yMin]) * (boxJ[xMax] - boxJ[xMin]);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keywordtype">float</span> yMinIntersection = std::max(boxI[yMin], boxJ[yMin]);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keywordtype">float</span> xMinIntersection = std::max(boxI[xMin], boxJ[xMin]);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keywordtype">float</span> yMaxIntersection = std::min(boxI[yMax], boxJ[yMax]);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keywordtype">float</span> xMaxIntersection = std::min(boxI[xMax], boxJ[xMax]);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keywordtype">float</span> areaIntersection = std::max(yMaxIntersection - yMinIntersection, 0.0f) *</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; std::max(xMaxIntersection - xMinIntersection, 0.0f);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordtype">float</span> areaUnion = areaI + areaJ - areaIntersection;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordflow">return</span> areaIntersection / areaUnion;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;}</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ac8c641d4a69c9a85c487cfbc7ea4d73c"> 50</a></span>&#160;std::vector&lt;unsigned int&gt; <a class="code" href="namespacearmnn.xhtml#ac8c641d4a69c9a85c487cfbc7ea4d73c">NonMaxSuppression</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numBoxes,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keyword">const</span> std::vector&lt;float&gt;&amp; boxCorners,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keyword">const</span> std::vector&lt;float&gt;&amp; <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a>,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordtype">float</span> nmsScoreThreshold,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maxDetection,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keywordtype">float</span> nmsIouThreshold)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;{</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="comment">// Select boxes that have scores above a given threshold.</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; std::vector&lt;float&gt; scoresAboveThreshold;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; std::vector&lt;unsigned int&gt; indicesAboveThreshold;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numBoxes; ++i)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordflow">if</span> (scores[i] &gt;= nmsScoreThreshold)</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; scoresAboveThreshold.push_back(scores[i]);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; indicesAboveThreshold.push_back(i);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="comment">// Sort the indices based on scores.</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numAboveThreshold = <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;(scoresAboveThreshold.size());</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; std::vector&lt;unsigned int&gt; sortedIndices = <a class="code" href="namespacearmnn.xhtml#ae8ed5c640761fb6744aec0ee16388417">GenerateRangeK</a>(numAboveThreshold);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="namespacearmnn.xhtml#a2748f45e58b1c612d473043f711d1434">TopKSort</a>(numAboveThreshold, sortedIndices.data(), scoresAboveThreshold.data(), numAboveThreshold);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="comment">// Number of output cannot be more than max detections specified in the option.</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutput = std::min(maxDetection, numAboveThreshold);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; std::vector&lt;unsigned int&gt; outputIndices;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; std::vector&lt;bool&gt; visited(numAboveThreshold, <span class="keyword">false</span>);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="comment">// Prune out the boxes with high intersection over union by keeping the box with higher score.</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numAboveThreshold; ++i)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">if</span> (outputIndices.size() &gt;= numOutput)</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; }</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordflow">if</span> (!visited[sortedIndices[i]])</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; outputIndices.push_back(indicesAboveThreshold[sortedIndices[i]]);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = i + 1; j &lt; numAboveThreshold; ++j)</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; {</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iIndex = indicesAboveThreshold[sortedIndices[i]] * 4;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> jIndex = indicesAboveThreshold[sortedIndices[j]] * 4;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#abf6aad7bc221f8ad22b4d99cd020373b">IntersectionOverUnion</a>(&amp;boxCorners[iIndex], &amp;boxCorners[jIndex]) &gt; nmsIouThreshold)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; visited[sortedIndices[j]] = <span class="keyword">true</span>;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; }</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordflow">return</span> outputIndices;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;}</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae8dcbb74cf0c855724f12833a55a5684"> 103</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#ae8dcbb74cf0c855724f12833a55a5684">AllocateOutputData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutput,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numSelected,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keyword">const</span> std::vector&lt;float&gt;&amp; boxCorners,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keyword">const</span> std::vector&lt;unsigned int&gt;&amp; outputIndices,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keyword">const</span> std::vector&lt;unsigned int&gt;&amp; selectedBoxes,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keyword">const</span> std::vector&lt;unsigned int&gt;&amp; selectedClasses,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="keyword">const</span> std::vector&lt;float&gt;&amp; selectedScores,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordtype">float</span>* detectionBoxes,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordtype">float</span>* detectionScores,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordtype">float</span>* detectionClasses,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keywordtype">float</span>* numDetections)</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;{</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numOutput; ++i)</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> boxIndex = i * 4;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keywordflow">if</span> (i &lt; numSelected)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> boxCornorIndex = selectedBoxes[outputIndices[i]] * 4;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; detectionScores[i] = selectedScores[outputIndices[i]];</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; detectionClasses[i] = <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;<span class="keywordtype">float</span>&gt;(selectedClasses[outputIndices[i]]);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; detectionBoxes[boxIndex] = boxCorners[boxCornorIndex];</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; detectionBoxes[boxIndex + 1] = boxCorners[boxCornorIndex + 1];</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; detectionBoxes[boxIndex + 2] = boxCorners[boxCornorIndex + 2];</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; detectionBoxes[boxIndex + 3] = boxCorners[boxCornorIndex + 3];</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; detectionScores[i] = 0.0f;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; detectionClasses[i] = 0.0f;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; detectionBoxes[boxIndex] = 0.0f;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; detectionBoxes[boxIndex + 1] = 0.0f;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; detectionBoxes[boxIndex + 2] = 0.0f;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; detectionBoxes[boxIndex + 3] = 0.0f;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; }</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; numDetections[0] = <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;<span class="keywordtype">float</span>&gt;(numSelected);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;}</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae76ce23fa9fc18e56448d52b37dd3f32"> 141</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#ae76ce23fa9fc18e56448d52b37dd3f32">DetectionPostProcess</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; boxEncodingsInfo,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#a64c1dd1b6dd60be9f4a16db9c8f427a5">scoresInfo</a>,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#a358cb7cd3c0647b25be049fd734b8c22">anchorsInfo</a>,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; detectionBoxesInfo,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; detectionClassesInfo,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; detectionScoresInfo,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; numDetectionsInfo,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a>&amp; desc,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a>&amp; <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a>,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a>&amp; <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a>,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a>&amp; <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a>,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keywordtype">float</span>* detectionBoxes,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <span class="keywordtype">float</span>* detectionClasses,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordtype">float</span>* detectionScores,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keywordtype">float</span>* numDetections)</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;{</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(anchorsInfo, detectionClassesInfo, detectionScoresInfo, numDetectionsInfo);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="comment">// Transform center-size format which is (ycenter, xcenter, height, width) to box-corner format,</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <span class="comment">// which represents the lower left corner and the upper right corner (ymin, xmin, ymax, xmax)</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; std::vector&lt;float&gt; boxCorners(boxEncodingsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numBoxes = boxEncodingsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1];</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numScores = scoresInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numBoxes; ++i)</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; {</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="comment">// Y</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="keywordtype">float</span> boxEncodingY = boxEncodings.<a class="code" href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">Get</a>();</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keywordtype">float</span> anchorY = anchors.<a class="code" href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">Get</a>();</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; ++<a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a>;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; ++<a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a>;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="comment">// X</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="keywordtype">float</span> boxEncodingX = boxEncodings.<a class="code" href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">Get</a>();</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="keywordtype">float</span> anchorX = anchors.<a class="code" href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">Get</a>();</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; ++<a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a>;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; ++<a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a>;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <span class="comment">// H</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <span class="keywordtype">float</span> boxEncodingH = boxEncodings.<a class="code" href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">Get</a>();</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <span class="keywordtype">float</span> anchorH = anchors.<a class="code" href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">Get</a>();</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; ++<a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a>;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; ++<a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a>;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="comment">// W</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <span class="keywordtype">float</span> boxEncodingW = boxEncodings.<a class="code" href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">Get</a>();</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="keywordtype">float</span> anchorW = anchors.<a class="code" href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">Get</a>();</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; ++<a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a>;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; ++<a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a>;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="keywordtype">float</span> yCentre = boxEncodingY / desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a> * anchorH + anchorY;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <span class="keywordtype">float</span> xCentre = boxEncodingX / desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a> * anchorW + anchorX;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="keywordtype">float</span> halfH = 0.5f * expf(boxEncodingH / desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a>) * anchorH;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keywordtype">float</span> halfW = 0.5f * expf(boxEncodingW / desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">m_ScaleW</a>) * anchorW;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> indexY = i * 4;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> indexX = indexY + 1;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> indexH = indexX + 1;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> indexW = indexH + 1;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="comment">// ymin</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; boxCorners[indexY] = yCentre - halfH;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="comment">// xmin</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; boxCorners[indexX] = xCentre - halfW;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; <span class="comment">// ymax</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; boxCorners[indexH] = yCentre + halfH;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <span class="comment">// xmax</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; boxCorners[indexW] = xCentre + halfW;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; BOOST_ASSERT(boxCorners[indexY] &lt; boxCorners[indexH]);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; BOOST_ASSERT(boxCorners[indexX] &lt; boxCorners[indexW]);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numClassesWithBg = desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a> + 1;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="comment">// Decode scores</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; std::vector&lt;float&gt; decodedScores;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; decodedScores.reserve(numScores);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i &lt; numScores; ++i)</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; decodedScores.emplace_back(scores.<a class="code" href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">Get</a>());</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; ++<a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a>;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; }</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <span class="comment">// Perform Non Max Suppression.</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <span class="keywordflow">if</span> (desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a>)</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; {</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <span class="comment">// Perform Regular NMS.</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; <span class="comment">// For each class, perform NMS and select max detection numbers of the highest score across all classes.</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; std::vector&lt;float&gt; classScores(numBoxes);</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; std::vector&lt;unsigned int&gt; selectedBoxesAfterNms;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; selectedBoxesAfterNms.reserve(numBoxes);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; std::vector&lt;float&gt; selectedScoresAfterNms;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; selectedBoxesAfterNms.reserve(numScores);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; std::vector&lt;unsigned int&gt; selectedClasses;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160;</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c = 0; c &lt; desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a>; ++c)</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; {</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; <span class="comment">// For each boxes, get scores of the boxes for the class c.</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numBoxes; ++i)</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; {</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; classScores[i] = decodedScores[i * numClassesWithBg + c + 1];</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; }</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; std::vector&lt;unsigned int&gt; selectedIndices = <a class="code" href="namespacearmnn.xhtml#ac8c641d4a69c9a85c487cfbc7ea4d73c">NonMaxSuppression</a>(numBoxes,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; boxCorners,</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; classScores,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a>,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a>,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a>);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; selectedIndices.size(); ++i)</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; {</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; selectedBoxesAfterNms.push_back(selectedIndices[i]);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; selectedScoresAfterNms.push_back(classScores[selectedIndices[i]]);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; selectedClasses.push_back(c);</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; }</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; }</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <span class="comment">// Select max detection numbers of the highest score across all classes</span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numSelected = <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;(selectedBoxesAfterNms.size());</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutput = std::min(desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a>, numSelected);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <span class="comment">// Sort the max scores among the selected indices.</span></div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; std::vector&lt;unsigned int&gt; outputIndices = <a class="code" href="namespacearmnn.xhtml#ae8ed5c640761fb6744aec0ee16388417">GenerateRangeK</a>(numSelected);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <a class="code" href="namespacearmnn.xhtml#a2748f45e58b1c612d473043f711d1434">TopKSort</a>(numOutput, outputIndices.data(), selectedScoresAfterNms.data(), numSelected);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160;</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <a class="code" href="namespacearmnn.xhtml#ae8dcbb74cf0c855724f12833a55a5684">AllocateOutputData</a>(detectionBoxesInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1], numOutput, boxCorners, outputIndices,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; selectedBoxesAfterNms, selectedClasses, selectedScoresAfterNms,</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; detectionBoxes, detectionScores, detectionClasses, numDetections);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; }</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; {</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; <span class="comment">// Perform Fast NMS.</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="comment">// Select max scores of boxes and perform NMS on max scores,</span></div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <span class="comment">// select max detection numbers of the highest score</span></div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numClassesPerBox = std::min(desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a>, desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a>);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; std::vector&lt;float&gt; maxScores;</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; std::vector&lt;unsigned int&gt;boxIndices;</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; std::vector&lt;unsigned int&gt;maxScoreClasses;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> box = 0; box &lt; numBoxes; ++box)</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; {</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> scoreIndex = box * numClassesWithBg + 1;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="comment">// Get the max scores of the box.</span></div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; std::vector&lt;unsigned int&gt; maxScoreIndices = <a class="code" href="namespacearmnn.xhtml#ae8ed5c640761fb6744aec0ee16388417">GenerateRangeK</a>(desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a>);</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <a class="code" href="namespacearmnn.xhtml#a2748f45e58b1c612d473043f711d1434">TopKSort</a>(numClassesPerBox, maxScoreIndices.data(),</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; decodedScores.data() + scoreIndex, desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a>);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numClassesPerBox; ++i)</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; {</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; maxScores.push_back(decodedScores[scoreIndex + maxScoreIndices[i]]);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; maxScoreClasses.push_back(maxScoreIndices[i]);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; boxIndices.push_back(box);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; }</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160;</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <span class="comment">// Perform NMS on max scores</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; std::vector&lt;unsigned int&gt; selectedIndices = <a class="code" href="namespacearmnn.xhtml#ac8c641d4a69c9a85c487cfbc7ea4d73c">NonMaxSuppression</a>(numBoxes, boxCorners, maxScores,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a>,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a>,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a>);</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160;</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numSelected = <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a>&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;(selectedIndices.size());</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutput = std::min(desc.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a>, numSelected);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; <a class="code" href="namespacearmnn.xhtml#ae8dcbb74cf0c855724f12833a55a5684">AllocateOutputData</a>(detectionBoxesInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1], numOutput, boxCorners, selectedIndices,</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; boxIndices, maxScoreClasses, maxScores,</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; detectionBoxes, detectionScores, detectionClasses, numDetections);</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; }</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160;}</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ab509802c659de19929f18bad14a35c58"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">armnn::DetectionPostProcessDescriptor::m_ScaleW</a></div><div class="ttdeci">float m_ScaleW</div><div class="ttdoc">Center size encoding scale weight. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00545">Descriptors.hpp:545</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_abf6aad7bc221f8ad22b4d99cd020373b"><div class="ttname"><a href="namespacearmnn.xhtml#abf6aad7bc221f8ad22b4d99cd020373b">armnn::IntersectionOverUnion</a></div><div class="ttdeci">float IntersectionOverUnion(const float *boxI, const float *boxJ)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_detection_post_process_8cpp_source.xhtml#l00031">DetectionPostProcess.cpp:31</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ae64523937ea910030ad66fee6fddd51f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">armnn::DetectionPostProcessDescriptor::m_ScaleX</a></div><div class="ttdeci">float m_ScaleX</div><div class="ttdoc">Center size encoding scale x. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00541">Descriptors.hpp:541</a></div></div>
<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7e2f87544b8bc7e497e1dec8d3ca4055"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">armnn::DetectionPostProcessDescriptor::m_DetectionsPerClass</a></div><div class="ttdeci">uint32_t m_DetectionsPerClass</div><div class="ttdoc">Detections per classes, used in Regular NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00531">Descriptors.hpp:531</a></div></div>
<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_a358cb7cd3c0647b25be049fd734b8c22"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#a358cb7cd3c0647b25be049fd734b8c22">anchorsInfo</a></div><div class="ttdeci">armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32)</div></div>
<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_ada422a73ac4e68bcb1b1b1f0b44028d9"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a></div><div class="ttdeci">std::vector&lt; float &gt; boxEncodings({ 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f })</div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae8ed5c640761fb6744aec0ee16388417"><div class="ttname"><a href="namespacearmnn.xhtml#ae8ed5c640761fb6744aec0ee16388417">armnn::GenerateRangeK</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; GenerateRangeK(unsigned int k)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_detection_post_process_8cpp_source.xhtml#l00018">DetectionPostProcess.cpp:18</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a9ae2c9796692ebeafe19a4d3f09c8ea8"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">armnn::DetectionPostProcessDescriptor::m_MaxClassesPerDetection</a></div><div class="ttdeci">uint32_t m_MaxClassesPerDetection</div><div class="ttdoc">Maximum numbers of classes per detection, used in Fast NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00529">Descriptors.hpp:529</a></div></div>
<div class="ttc" id="classarmnn_1_1_decoder_xhtml_ac729108381e2340bea12877971713ecb"><div class="ttname"><a href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">armnn::Decoder::Get</a></div><div class="ttdeci">virtual IType Get() const =0</div></div>
<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ae72089bcab60ac175557f4241b16a014"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">armnn::DetectionPostProcessDescriptor::m_MaxDetections</a></div><div class="ttdeci">uint32_t m_MaxDetections</div><div class="ttdoc">Maximum numbers of detections. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00527">Descriptors.hpp:527</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae76ce23fa9fc18e56448d52b37dd3f32"><div class="ttname"><a href="namespacearmnn.xhtml#ae76ce23fa9fc18e56448d52b37dd3f32">armnn::DetectionPostProcess</a></div><div class="ttdeci">void DetectionPostProcess(const TensorInfo &amp;boxEncodingsInfo, const TensorInfo &amp;scoresInfo, const TensorInfo &amp;anchorsInfo, const TensorInfo &amp;detectionBoxesInfo, const TensorInfo &amp;detectionClassesInfo, const TensorInfo &amp;detectionScoresInfo, const TensorInfo &amp;numDetectionsInfo, const DetectionPostProcessDescriptor &amp;desc, Decoder&lt; float &gt; &amp;boxEncodings, Decoder&lt; float &gt; &amp;scores, Decoder&lt; float &gt; &amp;anchors, float *detectionBoxes, float *detectionClasses, float *detectionScores, float *numDetections)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_detection_post_process_8cpp_source.xhtml#l00141">DetectionPostProcess.cpp:141</a></div></div>
<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a53c8a7f33a40e1e240256bcfcf41b101"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">armnn::DetectionPostProcessDescriptor::m_NmsIouThreshold</a></div><div class="ttdeci">float m_NmsIouThreshold</div><div class="ttdoc">Intersection over union threshold. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00535">Descriptors.hpp:535</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2748f45e58b1c612d473043f711d1434"><div class="ttname"><a href="namespacearmnn.xhtml#a2748f45e58b1c612d473043f711d1434">armnn::TopKSort</a></div><div class="ttdeci">void TopKSort(unsigned int k, unsigned int *indices, const float *values, unsigned int numElement)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_detection_post_process_8cpp_source.xhtml#l00025">DetectionPostProcess.cpp:25</a></div></div>
<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a3a04b0ccee4bb2f21721ee5045e83df4"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">armnn::DetectionPostProcessDescriptor::m_NumClasses</a></div><div class="ttdeci">uint32_t m_NumClasses</div><div class="ttdoc">Number of classes. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00537">Descriptors.hpp:537</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a37fa39012e90d568df7f774cd6d1e956"><div class="ttname"><a href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t&lt; std::is_unsigned&lt; Source &gt;::value &amp;&amp;std::is_unsigned&lt; Dest &gt;::value, Dest &gt; numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00033">NumericCast.hpp:33</a></div></div>
<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7ed9bc7c26df67d274d5dd4cd83adf0f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">armnn::DetectionPostProcessDescriptor::m_UseRegularNms</a></div><div class="ttdeci">bool m_UseRegularNms</div><div class="ttdoc">Use Regular NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00539">Descriptors.hpp:539</a></div></div>
<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_aa61510cbd529870182e918ac6e8b9d72"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">armnn::DetectionPostProcessDescriptor::m_ScaleH</a></div><div class="ttdeci">float m_ScaleH</div><div class="ttdoc">Center size encoding scale height. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00547">Descriptors.hpp:547</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae8dcbb74cf0c855724f12833a55a5684"><div class="ttname"><a href="namespacearmnn.xhtml#ae8dcbb74cf0c855724f12833a55a5684">armnn::AllocateOutputData</a></div><div class="ttdeci">void AllocateOutputData(unsigned int numOutput, unsigned int numSelected, const std::vector&lt; float &gt; &amp;boxCorners, const std::vector&lt; unsigned int &gt; &amp;outputIndices, const std::vector&lt; unsigned int &gt; &amp;selectedBoxes, const std::vector&lt; unsigned int &gt; &amp;selectedClasses, const std::vector&lt; float &gt; &amp;selectedScores, float *detectionBoxes, float *detectionScores, float *detectionClasses, float *numDetections)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_detection_post_process_8cpp_source.xhtml#l00103">DetectionPostProcess.cpp:103</a></div></div>
<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_a0348e6bb67ace72535bd105219bb6237"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a></div><div class="ttdeci">std::vector&lt; float &gt; scores({ 0.0f, 0.9f, 0.8f, 0.0f, 0.75f, 0.72f, 0.0f, 0.6f, 0.5f, 0.0f, 0.93f, 0.95f, 0.0f, 0.5f, 0.4f, 0.0f, 0.3f, 0.2f })</div></div>
<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_a64c1dd1b6dd60be9f4a16db9c8f427a5"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#a64c1dd1b6dd60be9f4a16db9c8f427a5">scoresInfo</a></div><div class="ttdeci">armnn::TensorInfo scoresInfo({ 1, 6, 3 }, armnn::DataType::Float32)</div></div>
<div class="ttc" id="namespacearmnn_xhtml_ac8c641d4a69c9a85c487cfbc7ea4d73c"><div class="ttname"><a href="namespacearmnn.xhtml#ac8c641d4a69c9a85c487cfbc7ea4d73c">armnn::NonMaxSuppression</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; NonMaxSuppression(unsigned int numBoxes, const std::vector&lt; float &gt; &amp;boxCorners, const std::vector&lt; float &gt; &amp;scores, float nmsScoreThreshold, unsigned int maxDetection, float nmsIouThreshold)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_detection_post_process_8cpp_source.xhtml#l00050">DetectionPostProcess.cpp:50</a></div></div>
<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7a2156ec7d9c012ce00bbcc6afcb9028"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">armnn::DetectionPostProcessDescriptor::m_ScaleY</a></div><div class="ttdeci">float m_ScaleY</div><div class="ttdoc">Center size encoding scale y. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00543">Descriptors.hpp:543</a></div></div>
<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a4392dd6b4862cc9cf95ae8f1001ba592"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">armnn::DetectionPostProcessDescriptor::m_NmsScoreThreshold</a></div><div class="ttdeci">float m_NmsScoreThreshold</div><div class="ttdoc">NMS score threshold. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00533">Descriptors.hpp:533</a></div></div>
<div class="ttc" id="_detection_post_process_8hpp_xhtml"><div class="ttname"><a href="_detection_post_process_8hpp.xhtml">DetectionPostProcess.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00495">Descriptors.hpp:495</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00093">Tensor.hpp:93</a></div></div>
<div class="ttc" id="classarmnn_1_1_decoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_decoder.xhtml">armnn::Decoder&lt; float &gt;</a></div></div>
<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_ac0981848e4ae57729f14f72bd4caa9f8"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a></div><div class="ttdeci">std::vector&lt; float &gt; anchors({ 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 100.5f, 1.0f, 1.0f })</div></div>
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