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<div class="title">HOGDescriptor.cpp</div> </div>
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<a href="reference_2_h_o_g_descriptor_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) 2017-2019 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_descriptor_8h.xhtml">HOGDescriptor.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="_magnitude_8h.xhtml">Magnitude.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="_phase_8h.xhtml">Phase.h</a>&quot;</span></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;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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>test</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>validation</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>reference</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></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">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="keywordtype">void</span> hog_orientation_compute(<span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;mag, <span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">phase</a>, std::vector&lt;T&gt; &amp;bins, <span class="keyword">const</span> HOGInfo &amp;hog_info)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keyword">const</span> Size2D &amp;cell_size = hog_info.cell_size();</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_bins = hog_info.num_bins();</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="keywordtype">float</span> phase_scale = (<a class="code" href="namespacearm__compute.xhtml#af00a42ecad444bbda75cde1b64bd7e72a6898b46a1cde8a1572e2722c44c5ab07">PhaseType::SIGNED</a> == hog_info.phase_type() ? num_bins / 360.0f : num_bins / 180.0f);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; phase_scale *= (<a class="code" href="namespacearm__compute.xhtml#af00a42ecad444bbda75cde1b64bd7e72a6898b46a1cde8a1572e2722c44c5ab07">PhaseType::SIGNED</a> == hog_info.phase_type() ? 360.0f / 255.0f : 1.0f);</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; <span class="keywordtype">int</span> row_idx = 0;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> yc = 0; yc &lt; cell_size.height; ++yc)</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> xc = 0; xc &lt; cell_size.width; xc++)</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; <span class="keyword">const</span> <span class="keywordtype">float</span> mag_value = mag[(row_idx + xc)];</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> phase_value = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">phase</a>[(row_idx + xc)] * phase_scale + 0.5f;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> w1 = phase_value - floor(phase_value);</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">// The quantised phase is the histogram index [0, num_bins - 1]</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="comment">// Check limit of histogram index. If hidx == num_bins, hidx = 0</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> hidx = static_cast&lt;unsigned int&gt;(phase_value) % num_bins;</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="comment">// Weighted vote between 2 bins</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; bins[hidx] += mag_value * (1.0f - w1);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; bins[(hidx + 1) % num_bins] += mag_value * w1;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; }</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; row_idx += cell_size.width;</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;}</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="keywordtype">void</span> hog_block_normalization_compute(SimpleTensor&lt;T&gt; &amp;block, SimpleTensor&lt;T&gt; &amp;desc, <span class="keyword">const</span> HOGInfo &amp;hog_info, uint32_t block_idx)</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="keyword">const</span> <span class="keywordtype">int</span> num_bins_per_block = desc.num_channels();</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a673665b4587a2956fcbad5f0e9ba89d3">HOGNormType</a> norm_type = hog_info.normalization_type();</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keyword">const</span> Coordinates <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(desc.shape(), block_idx);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keywordtype">float</span> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = 0.0f;</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="comment">// Calculate sum</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; num_bins_per_block; ++i)</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> val = block[i];</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> += (norm_type == <a class="code" href="namespacearm__compute.xhtml#a673665b4587a2956fcbad5f0e9ba89d3a68616ae21712c00705b962f4eff06eaa">HOGNormType::L1_NORM</a>) ? std::fabs(val) : val * val;</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="comment">// Calculate normalization scale</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8c699547c10336829d3a6b6105cd94f3">scale</a> = 1.0f / (std::sqrt(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>) + num_bins_per_block * 0.1f);</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">if</span>(norm_type == <a class="code" href="namespacearm__compute.xhtml#a673665b4587a2956fcbad5f0e9ba89d3ac9e68c0594494ec85805b225a7acb9c2">HOGNormType::L2HYS_NORM</a>)</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">// Reset sum</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = 0.0f;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; num_bins_per_block; ++i)</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; <span class="keywordtype">float</span> val = block[i] * <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8c699547c10336829d3a6b6105cd94f3">scale</a>;</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; <span class="comment">// Clip scaled input_value if over l2_hyst_threshold</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; val = fmin(val, hog_info.l2_hyst_threshold());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> += val * val;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; block[i] = val;</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"> 103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="comment">// We use the same constants of OpenCV</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8c699547c10336829d3a6b6105cd94f3">scale</a> = 1.0f / (std::sqrt(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>) + 1e-3f);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; num_bins_per_block; ++i)</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; block[i] *= <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8c699547c10336829d3a6b6105cd94f3">scale</a>;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; reinterpret_cast&lt;float *&gt;(desc(<span class="keywordtype">id</span>))[i] = block[i];</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; }</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="comment">// namespace</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> U, <span class="keyword">typename</span> V&gt;</div><div class="line"><a name="l00117"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aed58e449c2d482b55d61ee6bfd0de984"> 117</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aed58e449c2d482b55d61ee6bfd0de984">hog_orientation_binning</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;mag, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;U&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">phase</a>, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;V&gt;</a> &amp;hog_space, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info)</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;{</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;cell_size = hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#aaefa291ad3cc3e3210c8b8ef2ffde476">cell_size</a>();</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_bins = hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#ad96530ddba514601d376f991b568b346">num_bins</a>();</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> shape_width = hog_space.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x() * hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#aaefa291ad3cc3e3210c8b8ef2ffde476">cell_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> shape_height = hog_space.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y() * hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#aaefa291ad3cc3e3210c8b8ef2ffde476">cell_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> cell_shape(cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>, cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;V&gt;</a> mag_cell(cell_shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;V&gt;</a> phase_cell(cell_shape, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</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; <span class="keywordtype">int</span> cell_idx = 0;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordtype">int</span> y_offset = 0;</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; <span class="comment">// Traverse shape</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> sy = cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>; sy &lt;= shape_height; sy += cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>)</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; <span class="keywordtype">int</span> x_offset = 0;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> sx = cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>; sx &lt;= shape_width; sx += cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordtype">int</span> row_idx = 0;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keywordtype">int</span> elem_idx = 0;</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; <span class="comment">// Traverse cell</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> y = 0u; y &lt; cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>; ++y)</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="keywordflow">for</span>(<span class="keyword">auto</span> x = 0u; x &lt; cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>; ++x)</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keywordtype">int</span> shape_idx = x + row_idx + x_offset + y_offset;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; mag_cell[elem_idx] = mag[shape_idx];</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; phase_cell[elem_idx] = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">phase</a>[shape_idx];</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; elem_idx++;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; }</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; row_idx += shape_width;</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;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <span class="comment">// Partition magnitude values into bins based on phase values</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; std::vector&lt;V&gt; bins(num_bins);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; hog_orientation_compute(mag_cell, phase_cell, bins, hog_info);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; num_bins; ++i)</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; hog_space[cell_idx * num_bins + i] = bins[i];</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; }</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; x_offset += cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; cell_idx++;</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;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; y_offset += (cell_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a> * shape_width);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; }</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;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae01f1c200a32d41a056d513760981326"> 174</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae01f1c200a32d41a056d513760981326">hog_block_normalization</a>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;desc, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;hog_space, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info)</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;{</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> cells_per_block = hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#a79b522bd4aa0d5533649e60ef7f5f42f">num_cells_per_block</a>();</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> cells_per_block_stride = hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#a3d18e8be8055827aa09839f6972ff271">num_cells_per_block_stride</a>();</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;block_size = hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#ae561964ccc0e0a5750676b9c7dd7cd44">block_size</a>();</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;block_stride = hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#a207391d3ac69d9a0839104f784f888fd">block_stride</a>();</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_bins = hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#ad96530ddba514601d376f991b568b346">num_bins</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="keyword">const</span> <span class="keywordtype">size_t</span> shape_width = hog_space.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x() * hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#aaefa291ad3cc3e3210c8b8ef2ffde476">cell_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> shape_height = hog_space.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y() * hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#aaefa291ad3cc3e3210c8b8ef2ffde476">cell_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_bins_per_block_x = cells_per_block.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a> * num_bins;</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; <span class="comment">// Tensor representing single block</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> block(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 1u, 1u }, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, cells_per_block.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a75026dc1fa3840404ae4553010efcd52">area</a>() * num_bins);</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; uint32_t block_idx = 0;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <span class="keywordtype">int</span> block_y_offset = 0;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="comment">// Traverse shape</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> sy = block_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>; sy &lt;= shape_height; sy += block_stride.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>)</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; {</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <span class="keywordtype">int</span> block_x_offset = 0;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> sx = block_size.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>; sx &lt;= shape_width; sx += block_stride.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>)</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">int</span> cell_y_offset = 0;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="keywordtype">int</span> elem_idx = 0;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <span class="comment">// Traverse block</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> y = 0u; y &lt; cells_per_block.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>; ++y)</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; {</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> x = 0u; x &lt; num_bins_per_block_x; ++x)</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="keywordtype">int</span> idx = x + cell_y_offset + block_x_offset + block_y_offset;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; block[elem_idx] = hog_space[idx];</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; elem_idx++;</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;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; cell_y_offset += hog_space.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x() * num_bins;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; }</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">// Normalize block and write to descriptor</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; hog_block_normalization_compute(block, desc, hog_info, block_idx);</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; block_x_offset += cells_per_block_stride.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a> * num_bins;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; block_idx++;</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;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; block_y_offset += cells_per_block_stride.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a> * num_bins * hog_space.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x();</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;}</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> U&gt;</div><div class="line"><a name="l00226"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa0803d3eb7f6177d7ff8eb49cf0772ab"> 226</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa0803d3eb7f6177d7ff8eb49cf0772ab">hog_descriptor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;U&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">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>, U constant_border_value, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info)</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; <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="l00229"></a><span class="lineno"> 229</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="l00230"></a><span class="lineno"> 230</span>&#160;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <span class="comment">// Create tensor info for HOG descriptor</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> desc_info(hog_info, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.shape().x(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.shape().y());</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> desc(desc_info.tensor_shape(), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, desc_info.num_channels());</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">// Create HOG space tensor (num_cells_x, num_cells_y)</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> hog_space_shape(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.shape().x() / hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#aaefa291ad3cc3e3210c8b8ef2ffde476">cell_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.shape().y() / hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#aaefa291ad3cc3e3210c8b8ef2ffde476">cell_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>);</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; <span class="comment">// For each cell a histogram with a num_bins is created</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> info_hog_space(hog_space_shape, hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#ad96530ddba514601d376f991b568b346">num_bins</a>(), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> hog_space(info_hog_space.tensor_shape(), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, info_hog_space.num_channels());</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; <span class="comment">// Calculate derivative</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; std::tie(grad_x, grad_y) = derivative&lt;int16_t&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">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="l00245"></a><span class="lineno"> 245</span>&#160;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <span class="comment">// For each cell create histogram based on magnitude and phase</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aed58e449c2d482b55d61ee6bfd0de984">hog_orientation_binning</a>(<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="l00248"></a><span class="lineno"> 248</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">phase</a>(grad_x, grad_y, hog_info.<a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml#a039b8ebcdd462041d3988e6d2c145323">phase_type</a>()),</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; hog_space,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; hog_info);</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; <span class="comment">// Normalize histograms based on block size</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae01f1c200a32d41a056d513760981326">hog_block_normalization</a>(desc, hog_space, hog_info);</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="keywordflow">return</span> desc;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;}</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;<span class="keyword">template</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aed58e449c2d482b55d61ee6bfd0de984">hog_orientation_binning</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int16_t&gt;</a> &amp;mag, <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_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">phase</a>, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;hog_space, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160;<span class="keyword">template</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ae01f1c200a32d41a056d513760981326">hog_block_normalization</a>(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;desc, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;hog_space, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa0803d3eb7f6177d7ff8eb49cf0772ab">hog_descriptor</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#a989ab3e96426615bb98e04e0235088ca">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, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160;} <span class="comment">// namespace reference</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</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#l00261">Types.h:261</a></div></div>
<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>
<div class="ttc" id="classarm__compute_1_1_h_o_g_info_xhtml_ad96530ddba514601d376f991b568b346"><div class="ttname"><a href="classarm__compute_1_1_h_o_g_info.xhtml#ad96530ddba514601d376f991b568b346">arm_compute::HOGInfo::num_bins</a></div><div class="ttdeci">size_t num_bins() const</div><div class="ttdoc">The number of histogram bins for each cell.</div><div class="ttdef"><b>Definition:</b> <a href="_h_o_g_info_8cpp_source.xhtml#l00111">HOGInfo.cpp:111</a></div></div>
<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>
<div class="ttc" id="classarm__compute_1_1_h_o_g_info_xhtml_aaefa291ad3cc3e3210c8b8ef2ffde476"><div class="ttname"><a href="classarm__compute_1_1_h_o_g_info.xhtml#aaefa291ad3cc3e3210c8b8ef2ffde476">arm_compute::HOGInfo::cell_size</a></div><div class="ttdeci">const Size2D &amp; cell_size() const</div><div class="ttdoc">The cell size in pixels.</div><div class="ttdef"><b>Definition:</b> <a href="_h_o_g_info_8cpp_source.xhtml#l00091">HOGInfo.cpp:91</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_af00a42ecad444bbda75cde1b64bd7e72a6898b46a1cde8a1572e2722c44c5ab07"><div class="ttname"><a href="namespacearm__compute.xhtml#af00a42ecad444bbda75cde1b64bd7e72a6898b46a1cde8a1572e2722c44c5ab07">arm_compute::PhaseType::SIGNED</a></div><div class="ttdoc">Angle range: [0, 360].</div></div>
<div class="ttc" id="classarm__compute_1_1_h_o_g_info_xhtml_a3d18e8be8055827aa09839f6972ff271"><div class="ttname"><a href="classarm__compute_1_1_h_o_g_info.xhtml#a3d18e8be8055827aa09839f6972ff271">arm_compute::HOGInfo::num_cells_per_block_stride</a></div><div class="ttdeci">Size2D num_cells_per_block_stride() const</div><div class="ttdoc">Calculates the number of cells per block stride.</div><div class="ttdef"><b>Definition:</b> <a href="_h_o_g_info_8cpp_source.xhtml#l00075">HOGInfo.cpp:75</a></div></div>
<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="reference_2_h_o_g_descriptor_8cpp_source.xhtml#l00117">HOGDescriptor.cpp:117</a></div></div>
<div class="ttc" id="reduction__operation_8cl_xhtml_ab0df00f5333da51860deb93deb44a782"><div class="ttname"><a href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a></div><div class="ttdeci">DATA_TYPE sum(__global const DATA_TYPE *input)</div><div class="ttdoc">Calculate sum of a vector.</div><div class="ttdef"><b>Definition:</b> <a href="reduction__operation_8cl_source.xhtml#l00066">reduction_operation.cl:66</a></div></div>
<div class="ttc" id="classarm__compute_1_1_h_o_g_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_h_o_g_info.xhtml">arm_compute::HOGInfo</a></div><div class="ttdoc">Store the HOG's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_h_o_g_info_8h_source.xhtml#l00035">HOGInfo.h:35</a></div></div>
<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>
<div class="ttc" id="_phase_8h_xhtml"><div class="ttname"><a href="_phase_8h.xhtml">Phase.h</a></div></div>
<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="reference_2_phase_8cpp_source.xhtml#l00035">Phase.cpp:35</a></div></div>
<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#l00321">SimpleTensor.h:321</a></div></div>
<div class="ttc" id="classarm__compute_1_1_h_o_g_info_xhtml_a039b8ebcdd462041d3988e6d2c145323"><div class="ttname"><a href="classarm__compute_1_1_h_o_g_info.xhtml#a039b8ebcdd462041d3988e6d2c145323">arm_compute::HOGInfo::phase_type</a></div><div class="ttdeci">PhaseType phase_type() const</div><div class="ttdoc">The type of PhaseType.</div><div class="ttdef"><b>Definition:</b> <a href="_h_o_g_info_8cpp_source.xhtml#l00126">HOGInfo.cpp:126</a></div></div>
<div class="ttc" id="classarm__compute_1_1_h_o_g_info_xhtml_a207391d3ac69d9a0839104f784f888fd"><div class="ttname"><a href="classarm__compute_1_1_h_o_g_info.xhtml#a207391d3ac69d9a0839104f784f888fd">arm_compute::HOGInfo::block_stride</a></div><div class="ttdeci">const Size2D &amp; block_stride() const</div><div class="ttdoc">The block stride in pixels.</div><div class="ttdef"><b>Definition:</b> <a href="_h_o_g_info_8cpp_source.xhtml#l00106">HOGInfo.cpp:106</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2020 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<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>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_aa0803d3eb7f6177d7ff8eb49cf0772ab"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa0803d3eb7f6177d7ff8eb49cf0772ab">arm_compute::test::validation::reference::hog_descriptor</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; hog_descriptor(const SimpleTensor&lt; U &gt; &amp;src, BorderMode border_mode, U constant_border_value, const HOGInfo &amp;hog_info)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_h_o_g_descriptor_8cpp_source.xhtml#l00226">HOGDescriptor.cpp:226</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a673665b4587a2956fcbad5f0e9ba89d3a68616ae21712c00705b962f4eff06eaa"><div class="ttname"><a href="namespacearm__compute.xhtml#a673665b4587a2956fcbad5f0e9ba89d3a68616ae21712c00705b962f4eff06eaa">arm_compute::HOGNormType::L1_NORM</a></div><div class="ttdoc">L1 norm.</div></div>
<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#l00118">Convolution.cpp:118</a></div></div>
<div class="ttc" id="classarm__compute_1_1_h_o_g_info_xhtml_a79b522bd4aa0d5533649e60ef7f5f42f"><div class="ttname"><a href="classarm__compute_1_1_h_o_g_info.xhtml#a79b522bd4aa0d5533649e60ef7f5f42f">arm_compute::HOGInfo::num_cells_per_block</a></div><div class="ttdeci">Size2D num_cells_per_block() const</div><div class="ttdoc">Calculates the number of cells for each block.</div><div class="ttdef"><b>Definition:</b> <a href="_h_o_g_info_8cpp_source.xhtml#l00067">HOGInfo.cpp:67</a></div></div>
<div class="ttc" id="classarm__compute_1_1_h_o_g_info_xhtml_ae561964ccc0e0a5750676b9c7dd7cd44"><div class="ttname"><a href="classarm__compute_1_1_h_o_g_info.xhtml#ae561964ccc0e0a5750676b9c7dd7cd44">arm_compute::HOGInfo::block_size</a></div><div class="ttdeci">const Size2D &amp; block_size() const</div><div class="ttdoc">The block size in pixels.</div><div class="ttdef"><b>Definition:</b> <a href="_h_o_g_info_8cpp_source.xhtml#l00096">HOGInfo.cpp:96</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a24d8c0391cfa38e78969b6ad97c0ff09"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">arm_compute::test::index2coord</a></div><div class="ttdeci">Coordinates index2coord(const TensorShape &amp;shape, int index)</div><div class="ttdoc">Convert a linear index into n-dimensional coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00456">Utils.h:456</a></div></div>
<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>
<div class="ttc" id="_magnitude_8h_xhtml"><div class="ttname"><a href="_magnitude_8h.xhtml">Magnitude.h</a></div></div>
<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>
<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>
<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>
<div class="ttc" id="_derivative_8h_xhtml"><div class="ttname"><a href="_derivative_8h.xhtml">Derivative.h</a></div></div>
<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>
<div class="ttc" id="namespacearm__compute_xhtml_a673665b4587a2956fcbad5f0e9ba89d3"><div class="ttname"><a href="namespacearm__compute.xhtml#a673665b4587a2956fcbad5f0e9ba89d3">arm_compute::HOGNormType</a></div><div class="ttdeci">HOGNormType</div><div class="ttdoc">Normalization type for Histogram of Oriented Gradients (HOG)</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00541">Types.h:541</a></div></div>
<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>
<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's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a8c699547c10336829d3a6b6105cd94f3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8c699547c10336829d3a6b6105cd94f3">arm_compute::test::validation::reference::scale</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; scale(const SimpleTensor&lt; T &gt; &amp;src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value, SamplingPolicy sampling_policy, bool ceil_policy_scale, bool align_corners)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_scale_8cpp_source.xhtml#l00188">Scale.cpp:188</a></div></div>
<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="reference_2_magnitude_8cpp_source.xhtml#l00035">Magnitude.cpp:35</a></div></div>
<div class="ttc" id="classarm__compute_1_1_size2_d_xhtml_a75026dc1fa3840404ae4553010efcd52"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a75026dc1fa3840404ae4553010efcd52">arm_compute::Size2D::area</a></div><div class="ttdeci">size_t area() const</div><div class="ttdoc">The area of the image or rectangle calculated as (width * height)</div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00053">Size2D.h:53</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div>
<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="reference_2_h_o_g_descriptor_8cpp_source.xhtml#l00174">HOGDescriptor.cpp:174</a></div></div>
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