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 120 <a href="reference_2_h_o_g_multi_detection_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 (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_h_o_g_multi_detection_8h.xhtml">HOGMultiDetection.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_derivative_8h.xhtml">Derivative.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_h_o_g_descriptor_8h.xhtml">HOGDescriptor.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_h_o_g_detector_8h.xhtml">HOGDetector.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_magnitude_8h.xhtml">Magnitude.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_phase_8h.xhtml">Phase.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;{</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="keyword">namespace </span>validation</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="keyword">namespace </span>reference</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;{</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;{</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="keywordtype">void</span> validate_models(<span class="keyword">const</span> std::vector&lt;HOGInfo&gt; &amp;models)</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(0 == models.size());</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 1; i &lt; models.size(); ++i)</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    {</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;        <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(models[0].phase_type() != models[i].phase_type(),</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;                                 <span class="stringliteral">&quot;All HOG parameters must have the same phase type&quot;</span>);</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(models[0].normalization_type() != models[i].normalization_type(),</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;                                 <span class="stringliteral">&quot;All HOG parameters must have the same normalization_type&quot;</span>);</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>((models[0].l2_hyst_threshold() != models[i].l2_hyst_threshold()) &amp;&amp; (models[0].normalization_type() == <a class="code" href="namespacearm__compute.xhtml#a673665b4587a2956fcbad5f0e9ba89d3ac9e68c0594494ec85805b225a7acb9c2">arm_compute::HOGNormType::L2HYS_NORM</a>),</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;                                 <span class="stringliteral">&quot;All HOG parameters must have the same l2 hysteresis threshold if you use L2 hysteresis normalization type&quot;</span>);</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;}</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a206dcc57b5f0396164931c3e65f52e20">   60</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a206dcc57b5f0396164931c3e65f52e20">detection_windows_non_maxima_suppression</a>(std::vector&lt;DetectionWindow&gt; &amp;multi_windows, <span class="keywordtype">float</span> min_distance)</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="keyword">const</span> <span class="keywordtype">size_t</span> num_candidates = multi_windows.size();</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <span class="keywordtype">size_t</span>       num_detections = 0;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="comment">// Sort by idx_class first and by score second</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    std::sort(multi_windows.begin(), multi_windows.end(), [](<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_detection_window.xhtml">DetectionWindow</a> &amp; lhs, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_detection_window.xhtml">DetectionWindow</a> &amp; rhs)</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;        <span class="keywordflow">if</span>(lhs.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#ae5c4999829285e20d3b491807fa46fd1">idx_class</a> &lt; rhs.idx_class)</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        {</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        }</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        <span class="keywordflow">if</span>(rhs.idx_class &lt; lhs.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#ae5c4999829285e20d3b491807fa46fd1">idx_class</a>)</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="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        }</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        <span class="comment">// idx_classes are equal so compare by score</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        <span class="keywordflow">if</span>(lhs.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#a8c5cd9b525ee73a24b1d9d8e34982d1c">score</a> &gt; rhs.score)</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;        {</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">true</span>;</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>(rhs.score &gt; lhs.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#a8c5cd9b525ee73a24b1d9d8e34982d1c">score</a>)</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">return</span> <span class="keyword">false</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;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    });</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="keyword">const</span> <span class="keywordtype">float</span> min_distance_pow2 = min_distance * min_distance;</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="comment">// Euclidean distance</span></div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; num_candidates; ++i)</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    {</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        <span class="keywordflow">if</span>(0.0f != multi_windows.at(i).score)</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        {</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;            <a class="code" href="structarm__compute_1_1_detection_window.xhtml">DetectionWindow</a> cur;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;            cur.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#a4dde988b1b2adba65ae3efa69f65d960">x</a>         = multi_windows.at(i).x;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;            cur.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#ab0580f504a7428539be299fa71565f30">y</a>         = multi_windows.at(i).y;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;            cur.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#ad0eab1042455a2067c812ab8071d5376">width</a>     = multi_windows.at(i).width;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;            cur.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#a81c9f8d0b8c3b49d770be14dbe9f0d37">height</a>    = multi_windows.at(i).height;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;            cur.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#ae5c4999829285e20d3b491807fa46fd1">idx_class</a> = multi_windows.at(i).idx_class;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;            cur.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#a8c5cd9b525ee73a24b1d9d8e34982d1c">score</a>     = multi_windows.at(i).score;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;            <span class="comment">// Store window</span></div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;            multi_windows.at(num_detections) = cur;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;            ++num_detections;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">float</span> xc = cur.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#a4dde988b1b2adba65ae3efa69f65d960">x</a> + cur.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#ad0eab1042455a2067c812ab8071d5376">width</a> * 0.5f;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">float</span> yc = cur.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#ab0580f504a7428539be299fa71565f30">y</a> + cur.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#a81c9f8d0b8c3b49d770be14dbe9f0d37">height</a> * 0.5f;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;            <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> k = i + 1; k &lt; (num_candidates) &amp;&amp; (cur.<a class="code" href="structarm__compute_1_1_detection_window.xhtml#ae5c4999829285e20d3b491807fa46fd1">idx_class</a> == multi_windows.at(k).idx_class); ++k)</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;            {</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;                <span class="keyword">const</span> <span class="keywordtype">float</span> xn = multi_windows.at(k).x + multi_windows.at(k).width * 0.5f;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;                <span class="keyword">const</span> <span class="keywordtype">float</span> yn = multi_windows.at(k).y + multi_windows.at(k).height * 0.5f;</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="keyword">const</span> <span class="keywordtype">float</span> dx = std::fabs(xn - xc);</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;                <span class="keyword">const</span> <span class="keywordtype">float</span> dy = std::fabs(yn - yc);</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="keywordflow">if</span>(dx &lt; min_distance &amp;&amp; dy &lt; min_distance)</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;                {</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;                    <span class="keyword">const</span> <span class="keywordtype">float</span> d = dx * dx + dy * dy;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;                    <span class="keywordflow">if</span>(d &lt; min_distance_pow2)</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;                    {</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;                        <span class="comment">// Invalidate detection window</span></div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;                        multi_windows.at(k).score = 0.0f;</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;                    }</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;            }</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;        }</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    }</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    multi_windows.resize(num_detections);</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;}</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;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a350c5856a7fb88d1cdbd4fb7b4511be3">  138</a></span>&#160;std::vector&lt;DetectionWindow&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a350c5856a7fb88d1cdbd4fb7b4511be3">hog_multi_detection</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, T constant_border_value,</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;                                                 <span class="keyword">const</span> std::vector&lt;HOGInfo&gt; &amp;models, std::vector&lt;std::vector&lt;float&gt;&gt; descriptors,</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;                                                 <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> max_num_detection_windows, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6cae310822a46019ba25a00ddb0f7e62">threshold</a>, <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a60e89e48713565425943913adec65294">non_maxima_suppression</a>, <span class="keywordtype">float</span> min_distance)</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;{</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(descriptors.size() != models.size());</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    validate_models(models);</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> width      = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x();</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> height     = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y();</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_models = models.size();</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="comment">// Initialize previous values</span></div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    <span class="keywordtype">size_t</span> prev_num_bins     = models[0].num_bins();</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> prev_cell_size    = models[0].cell_size();</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> prev_block_size   = models[0].block_size();</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> prev_block_stride = models[0].block_stride();</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    std::vector&lt;size_t&gt; input_orient_bin;</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    std::vector&lt;size_t&gt; input_hog_detect;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    std::vector&lt;std::pair&lt;size_t, size_t&gt;&gt; input_block_norm;</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;    input_orient_bin.push_back(0);</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    input_hog_detect.push_back(0);</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    input_block_norm.emplace_back(0, 0);</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="comment">// Iterate through the number of models and check if orientation binning</span></div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <span class="comment">// and block normalization steps can be skipped</span></div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 1; i &lt; num_models; ++i)</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    {</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;        <span class="keywordtype">size_t</span> cur_num_bins     = models[i].num_bins();</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;        <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> cur_cell_size    = models[i].cell_size();</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;        <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> cur_block_size   = models[i].block_size();</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;        <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> cur_block_stride = models[i].block_stride();</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;        <span class="comment">// Check if binning and normalization steps are required</span></div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;        <span class="keywordflow">if</span>((cur_num_bins != prev_num_bins) || (cur_cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a> != prev_cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>) || (cur_cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a> != prev_cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</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;            prev_num_bins     = cur_num_bins;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;            prev_cell_size    = cur_cell_size;</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;            prev_block_size   = cur_block_size;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;            prev_block_stride = cur_block_stride;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;            <span class="comment">// Compute orientation binning and block normalization. Update input to process</span></div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;            input_orient_bin.push_back(i);</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;            input_block_norm.emplace_back(i, input_orient_bin.size() - 1);</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        }</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;        <span class="keywordflow">else</span> <span class="keywordflow">if</span>((cur_block_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a> != prev_block_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>) || (cur_block_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a> != prev_block_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>) || (cur_block_stride.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a> != prev_block_stride.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>)</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;                || (cur_block_stride.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a> != prev_block_stride.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>))</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;        {</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;            prev_block_size   = cur_block_size;</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;            prev_block_stride = cur_block_stride;</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;            <span class="comment">// Compute block normalization. Update input to process</span></div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;            input_block_norm.emplace_back(i, input_orient_bin.size() - 1);</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;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;        <span class="comment">// Update input to process for hog detector</span></div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;        input_hog_detect.push_back(input_block_norm.size() - 1);</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    }</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    <span class="keywordtype">size_t</span> num_orient_bin = input_orient_bin.size();</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    <span class="keywordtype">size_t</span> num_block_norm = input_block_norm.size();</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;    <span class="keywordtype">size_t</span> num_hog_detect = input_hog_detect.size();</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;    std::vector&lt;SimpleTensor&lt;float&gt;&gt; hog_spaces(num_orient_bin);</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    std::vector&lt;SimpleTensor&lt;float&gt;&gt; hog_norm_spaces(num_block_norm);</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    <span class="comment">// Calculate derivative</span></div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int16_t&gt;</a> grad_x;</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int16_t&gt;</a> grad_y;</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    std::tie(grad_x, grad_y) = derivative&lt;int16_t&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, constant_border_value, <a class="code" href="namespacearm__compute.xhtml#ae46abc5ecac309cbece5c06cb80daaf7a5515a637eda61b978e97adaa5d7629cc">GradientDimension::GRAD_XY</a>);</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    <span class="comment">// Calculate magnitude and phase</span></div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int16_t&gt;</a> _mag   = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6aa278cb3dd1777e7338c5e573c55550">magnitude</a>(grad_x, grad_y, <a class="code" href="namespacearm__compute.xhtml#a7b3ec6413f000b02fdb4e39a951d9f8aad927ac799e8b24f80fc80d89b2eb7131">MagnitudeType::L2NORM</a>);</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;uint8_t&gt;</a> _phase = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">phase</a>(grad_x, grad_y, models[0].phase_type());</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    <span class="comment">// Calculate Tensors for the HOG space and orientation binning</span></div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; num_orient_bin; ++i)</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    {</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">size_t</span> idx_multi_hog = input_orient_bin[i];</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;        <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_bins    = models[idx_multi_hog].num_bins();</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_cells_x = width / models[idx_multi_hog].cell_size().width;</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_cells_y = height / models[idx_multi_hog].cell_size().height;</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;        <span class="comment">// TensorShape of hog space</span></div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> hog_space_shape(num_cells_x, num_cells_y);</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="comment">// Initialise HOG space</span></div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> info_hog_space(hog_space_shape, num_bins, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;        hog_spaces.at(i) = <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a>(info_hog_space.<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>(), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, info_hog_space.<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>());</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;        <span class="comment">// For each cell create histogram based on magnitude and phase</span></div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aed58e449c2d482b55d61ee6bfd0de984">hog_orientation_binning</a>(_mag, _phase, hog_spaces[i], models[idx_multi_hog]);</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    }</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    <span class="comment">// Calculate Tensors for the normalized HOG space and block normalization</span></div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; num_block_norm; ++i)</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    {</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">size_t</span> idx_multi_hog  = input_block_norm[i].first;</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">size_t</span> idx_orient_bin = input_block_norm[i].second;</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;        <span class="comment">// Create tensor info for HOG descriptor</span></div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> tensor_info(models[idx_multi_hog], src.shape().x(), src.shape().y());</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        hog_norm_spaces.at(i) = <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a>(tensor_info.tensor_shape(), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, tensor_info.num_channels());</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;        <span class="comment">// Normalize histograms based on block size</span></div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae01f1c200a32d41a056d513760981326">hog_block_normalization</a>(hog_norm_spaces[i], hog_spaces[idx_orient_bin], models[idx_multi_hog]);</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;</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    std::vector&lt;DetectionWindow&gt; multi_windows;</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    <span class="comment">// Calculate Detection Windows for HOG detector</span></div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; num_hog_detect; ++i)</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    {</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">size_t</span> idx_block_norm = input_hog_detect[i];</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;        <span class="comment">// NOTE: Detection window stride fixed to block stride</span></div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> detection_window_stride = models[i].block_stride();</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;        std::vector&lt;DetectionWindow&gt; windows = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a174ee1e2e66053db45c7fb4aa68920e7">hog_detector</a>(hog_norm_spaces[idx_block_norm], descriptors[i],</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;                                                            max_num_detection_windows, models[i], detection_window_stride, threshold, i);</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;        multi_windows.insert(multi_windows.end(), windows.begin(), windows.end());</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;</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    <span class="comment">// Suppress Non-maxima detection windows</span></div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;    <span class="keywordflow">if</span>(non_maxima_suppression)</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;        <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a206dcc57b5f0396164931c3e65f52e20">detection_windows_non_maxima_suppression</a>(multi_windows, min_distance);</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;</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    <span class="keywordflow">return</span> multi_windows;</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;}</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="keyword">template</span> std::vector&lt;DetectionWindow&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a350c5856a7fb88d1cdbd4fb7b4511be3">hog_multi_detection</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;uint8_t&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, uint8_t constant_border_value,</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;                                                          <span class="keyword">const</span> std::vector&lt;HOGInfo&gt; &amp;models, std::vector&lt;std::vector&lt;float&gt;&gt; descriptors,</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;                                                          <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> max_num_detection_windows, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6cae310822a46019ba25a00ddb0f7e62">threshold</a>, <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a60e89e48713565425943913adec65294">non_maxima_suppression</a>, <span class="keywordtype">float</span> min_distance);</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;} <span class="comment">// namespace reference</span></div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">arm_compute::BorderMode</a></div><div class="ttdeci">BorderMode</div><div class="ttdoc">Methods available to handle borders. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00283">Types.h:283</a></div></div>
 121 <div class="ttc" id="namespacearm__compute_xhtml_a673665b4587a2956fcbad5f0e9ba89d3ac9e68c0594494ec85805b225a7acb9c2"><div class="ttname"><a href="namespacearm__compute.xhtml#a673665b4587a2956fcbad5f0e9ba89d3ac9e68c0594494ec85805b225a7acb9c2">arm_compute::HOGNormType::L2HYS_NORM</a></div><div class="ttdoc">L2-norm followed by clipping. </div></div>
 122 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
 123 <div class="ttc" id="structarm__compute_1_1_detection_window_xhtml_a4dde988b1b2adba65ae3efa69f65d960"><div class="ttname"><a href="structarm__compute_1_1_detection_window.xhtml#a4dde988b1b2adba65ae3efa69f65d960">arm_compute::DetectionWindow::x</a></div><div class="ttdeci">uint16_t x</div><div class="ttdoc">Top-left x coordinate. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00545">Types.h:545</a></div></div>
 124 <div class="ttc" id="structarm__compute_1_1_detection_window_xhtml_a8c5cd9b525ee73a24b1d9d8e34982d1c"><div class="ttname"><a href="structarm__compute_1_1_detection_window.xhtml#a8c5cd9b525ee73a24b1d9d8e34982d1c">arm_compute::DetectionWindow::score</a></div><div class="ttdeci">float score</div><div class="ttdoc">Confidence value for the detection window. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00550">Types.h:550</a></div></div>
 125 <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a6f13b974eeb528acde66de8d9b3fd95c"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">arm_compute::TensorInfo::num_channels</a></div><div class="ttdeci">size_t num_channels() const override</div><div class="ttdoc">The number of channels for each tensor element. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00259">TensorInfo.h:259</a></div></div>
 126 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_aed58e449c2d482b55d61ee6bfd0de984"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aed58e449c2d482b55d61ee6bfd0de984">arm_compute::test::validation::reference::hog_orientation_binning</a></div><div class="ttdeci">void hog_orientation_binning(const SimpleTensor&lt; T &gt; &amp;mag, const SimpleTensor&lt; U &gt; &amp;phase, SimpleTensor&lt; V &gt; &amp;hog_space, const HOGInfo &amp;hog_info)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_h_o_g_descriptor_8cpp_source.xhtml#l00117">HOGDescriptor.cpp:117</a></div></div>
 127 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel </div></div>
 128 <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
 129 <div class="ttc" id="_phase_8h_xhtml"><div class="ttname"><a href="_phase_8h.xhtml">Phase.h</a></div></div>
 130 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a74991bda4fcca3ce5dcf8afdccdbafff"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">arm_compute::test::validation::reference::phase</a></div><div class="ttdeci">SimpleTensor&lt; uint8_t &gt; phase(const SimpleTensor&lt; T &gt; &amp;gx, const SimpleTensor&lt; T &gt; &amp;gy, PhaseType phase_type)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_phase_8cpp_source.xhtml#l00035">Phase.cpp:35</a></div></div>
 131 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00294">SimpleTensor.h:294</a></div></div>
 132 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
 133 <div class="ttc" id="classarm__compute_1_1_size2_d_xhtml_a02afeaaf8574e7a78d6b466ff2695052"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">arm_compute::Size2D::height</a></div><div class="ttdeci">size_t height</div><div class="ttdoc">Height of the image region or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00093">Size2D.h:93</a></div></div>
 134 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5471e46933e7a9c4709972d91fc4ea65"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">arm_compute::test::validation::border_mode</a></div><div class="ttdeci">border_mode</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
 135 <div class="ttc" id="structarm__compute_1_1_detection_window_xhtml_ad0eab1042455a2067c812ab8071d5376"><div class="ttname"><a href="structarm__compute_1_1_detection_window.xhtml#ad0eab1042455a2067c812ab8071d5376">arm_compute::DetectionWindow::width</a></div><div class="ttdeci">uint16_t width</div><div class="ttdoc">Width of the detection window. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00547">Types.h:547</a></div></div>
 136 <div class="ttc" id="_h_o_g_detector_8h_xhtml"><div class="ttname"><a href="_h_o_g_detector_8h.xhtml">HOGDetector.h</a></div></div>
 137 <div class="ttc" id="namespacearm__compute_xhtml_a7b3ec6413f000b02fdb4e39a951d9f8aad927ac799e8b24f80fc80d89b2eb7131"><div class="ttname"><a href="namespacearm__compute.xhtml#a7b3ec6413f000b02fdb4e39a951d9f8aad927ac799e8b24f80fc80d89b2eb7131">arm_compute::MagnitudeType::L2NORM</a></div><div class="ttdoc">L2 normalization type. </div></div>
 138 <div class="ttc" id="structarm__compute_1_1_detection_window_xhtml_ae5c4999829285e20d3b491807fa46fd1"><div class="ttname"><a href="structarm__compute_1_1_detection_window.xhtml#ae5c4999829285e20d3b491807fa46fd1">arm_compute::DetectionWindow::idx_class</a></div><div class="ttdeci">uint16_t idx_class</div><div class="ttdoc">Index of the class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00549">Types.h:549</a></div></div>
 139 <div class="ttc" id="_magnitude_8h_xhtml"><div class="ttname"><a href="_magnitude_8h.xhtml">Magnitude.h</a></div></div>
 140 <div class="ttc" id="structarm__compute_1_1_detection_window_xhtml_a81c9f8d0b8c3b49d770be14dbe9f0d37"><div class="ttname"><a href="structarm__compute_1_1_detection_window.xhtml#a81c9f8d0b8c3b49d770be14dbe9f0d37">arm_compute::DetectionWindow::height</a></div><div class="ttdeci">uint16_t height</div><div class="ttdoc">Height of the detection window. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00548">Types.h:548</a></div></div>
 141 <div class="ttc" id="_h_o_g_multi_detection_8h_xhtml"><div class="ttname"><a href="_h_o_g_multi_detection_8h.xhtml">HOGMultiDetection.h</a></div></div>
 142 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div>
 143 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a174ee1e2e66053db45c7fb4aa68920e7"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a174ee1e2e66053db45c7fb4aa68920e7">arm_compute::test::validation::reference::hog_detector</a></div><div class="ttdeci">std::vector&lt; DetectionWindow &gt; hog_detector(const SimpleTensor&lt; T &gt; &amp;src, const std::vector&lt; T &gt; &amp;descriptor, unsigned int max_num_detection_windows, const HOGInfo &amp;hog_info, const Size2D &amp;detection_window_stride, float threshold, uint16_t idx_class)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_h_o_g_detector_8cpp_source.xhtml#l00048">HOGDetector.cpp:48</a></div></div>
 144 <div class="ttc" id="namespacearm__compute_xhtml_ae46abc5ecac309cbece5c06cb80daaf7a5515a637eda61b978e97adaa5d7629cc"><div class="ttname"><a href="namespacearm__compute.xhtml#ae46abc5ecac309cbece5c06cb80daaf7a5515a637eda61b978e97adaa5d7629cc">arm_compute::GradientDimension::GRAD_XY</a></div><div class="ttdoc">x and y gradient dimension </div></div>
 145 <div class="ttc" id="_h_o_g_descriptor_8h_xhtml"><div class="ttname"><a href="_h_o_g_descriptor_8h.xhtml">HOGDescriptor.h</a></div></div>
 146 <div class="ttc" id="_derivative_8h_xhtml"><div class="ttname"><a href="_derivative_8h.xhtml">Derivative.h</a></div></div>
 147 <div class="ttc" id="classarm__compute_1_1_size2_d_xhtml_a02bed8590a9ddf520e58a060059518ec"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">arm_compute::Size2D::width</a></div><div class="ttdeci">size_t width</div><div class="ttdoc">Width of the image region or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00092">Size2D.h:92</a></div></div>
 148 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a60e89e48713565425943913adec65294"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a60e89e48713565425943913adec65294">arm_compute::test::validation::reference::non_maxima_suppression</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; non_maxima_suppression(const SimpleTensor&lt; T &gt; &amp;src, BorderMode border_mode, T constant_border_value)</div><div class="ttdef"><b>Definition:</b> <a href="_non_maxima_suppression_8cpp_source.xhtml#l00038">NonMaximaSuppression.cpp:38</a></div></div>
 149 <div class="ttc" id="classarm__compute_1_1_size2_d_xhtml"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml">arm_compute::Size2D</a></div><div class="ttdoc">Class for specifying the size of an image or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00034">Size2D.h:34</a></div></div>
 150 <div class="ttc" id="structarm__compute_1_1_detection_window_xhtml"><div class="ttname"><a href="structarm__compute_1_1_detection_window.xhtml">arm_compute::DetectionWindow</a></div><div class="ttdoc">Detection window used for the object detection. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00543">Types.h:543</a></div></div>
 151 <div class="ttc" id="structarm__compute_1_1_detection_window_xhtml_ab0580f504a7428539be299fa71565f30"><div class="ttname"><a href="structarm__compute_1_1_detection_window.xhtml#ab0580f504a7428539be299fa71565f30">arm_compute::DetectionWindow::y</a></div><div class="ttdeci">uint16_t y</div><div class="ttdoc">Top-left y coordinate. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00546">Types.h:546</a></div></div>
 152 <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
 153 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a206dcc57b5f0396164931c3e65f52e20"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a206dcc57b5f0396164931c3e65f52e20">arm_compute::test::validation::reference::detection_windows_non_maxima_suppression</a></div><div class="ttdeci">void detection_windows_non_maxima_suppression(std::vector&lt; DetectionWindow &gt; &amp;multi_windows, float min_distance)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_h_o_g_multi_detection_8cpp_source.xhtml#l00060">HOGMultiDetection.cpp:60</a></div></div>
 154 <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape &amp; tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00263">TensorInfo.h:263</a></div></div>
 155 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a6cae310822a46019ba25a00ddb0f7e62"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6cae310822a46019ba25a00ddb0f7e62">arm_compute::test::validation::reference::threshold</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; threshold(const SimpleTensor&lt; T &gt; &amp;src, T threshold, T false_value, T true_value, ThresholdType type, T upper)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_threshold_8cpp_source.xhtml#l00035">Threshold.cpp:35</a></div></div>
 156 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a6aa278cb3dd1777e7338c5e573c55550"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6aa278cb3dd1777e7338c5e573c55550">arm_compute::test::validation::reference::magnitude</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; magnitude(const SimpleTensor&lt; T &gt; &amp;gx, const SimpleTensor&lt; T &gt; &amp;gy, MagnitudeType magnitude_type)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_magnitude_8cpp_source.xhtml#l00035">Magnitude.cpp:35</a></div></div>
 157 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
 158 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a350c5856a7fb88d1cdbd4fb7b4511be3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a350c5856a7fb88d1cdbd4fb7b4511be3">arm_compute::test::validation::reference::hog_multi_detection</a></div><div class="ttdeci">std::vector&lt; DetectionWindow &gt; hog_multi_detection(const SimpleTensor&lt; T &gt; &amp;src, BorderMode border_mode, T constant_border_value, const std::vector&lt; HOGInfo &gt; &amp;models, std::vector&lt; std::vector&lt; float &gt;&gt; descriptors, unsigned int max_num_detection_windows, float threshold, bool non_maxima_suppression, float min_distance)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_h_o_g_multi_detection_8cpp_source.xhtml#l00138">HOGMultiDetection.cpp:138</a></div></div>
 159 <div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00319">Error.h:319</a></div></div>
 160 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_ae01f1c200a32d41a056d513760981326"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae01f1c200a32d41a056d513760981326">arm_compute::test::validation::reference::hog_block_normalization</a></div><div class="ttdeci">void hog_block_normalization(SimpleTensor&lt; T &gt; &amp;desc, const SimpleTensor&lt; T &gt; &amp;hog_space, const HOGInfo &amp;hog_info)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_h_o_g_descriptor_8cpp_source.xhtml#l00174">HOGDescriptor.cpp:174</a></div></div>
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