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<a href="hog_8cl.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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="src_2core_2_c_l_2cl__kernels_2_types_8h.xhtml">types.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#if defined(CELL_WIDTH) &amp;&amp; defined(CELL_HEIGHT) &amp;&amp; defined(NUM_BINS) &amp;&amp; defined(PHASE_SCALE)</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="comment">/** This OpenCL kernel computes the HOG orientation binning</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="comment"> * @attention The following variables must be passed at compile time:</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="comment"> * -# -DCELL_WIDTH = Width of the cell</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="comment"> * -# -DCELL_HEIGHT = height of the cell</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="comment"> * -# -DNUM_BINS = Number of bins for each cell</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="comment"> * -# -DPHASE_SCALE = Scale factor used to evaluate the index of the local HOG</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="comment"> * @note Each work-item computes a single cell</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="comment"> * @param[in] mag_ptr Pointer to the source image which stores the magnitude of the gradient for each pixel. Supported data types: S16</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="comment"> * @param[in] mag_stride_x Stride of the magnitude image in X dimension (in bytes)</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="comment"> * @param[in] mag_step_x mag_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="comment"> * @param[in] mag_stride_y Stride of the magnitude image in Y dimension (in bytes)</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="comment"> * @param[in] mag_step_y mag_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="comment"> * @param[in] mag_offset_first_element_in_bytes The offset of the first element in the magnitude image</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="comment"> * @param[in] phase_ptr Pointer to the source image which stores the phase of the gradient for each pixel. Supported data types: U8</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="comment"> * @param[in] phase_stride_x Stride of the phase image in X dimension (in bytes)</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="comment"> * @param[in] phase_step_x phase_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="comment"> * @param[in] phase_stride_y Stride of the the phase image in Y dimension (in bytes)</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="comment"> * @param[in] phase_step_y phase_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="comment"> * @param[in] phase_offset_first_element_in_bytes The offset of the first element in the the phase image</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="comment"> * @param[out] dst_ptr Pointer to the destination image which stores the local HOG for each cell Supported data types: F32. Number of channels supported: equal to the number of histogram bins per cell</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination image in X dimension (in bytes)</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination image in Y dimension (in bytes)</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aed58e449c2d482b55d61ee6bfd0de984">hog_orientation_binning</a>(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(mag),</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">phase</a>),</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>))</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;{</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordtype">float</span> bins[NUM_BINS] = { 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">// Compute address for the magnitude and phase images</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> mag = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(mag);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">phase</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">phase</a>);</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; __global uchar *mag_row_ptr = mag.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; __global uchar *phase_row_ptr = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74991bda4fcca3ce5dcf8afdccdbafff">phase</a>.ptr;</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">for</span>(<span class="keywordtype">int</span> yc = 0; yc &lt; CELL_HEIGHT; ++yc)</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="keywordtype">int</span> xc = 0;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">for</span>(; xc &lt;= (CELL_WIDTH - 4); xc += 4)</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">// Load magnitude and phase values</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keyword">const</span> float4 mag_f32 = convert_float4(vload4(0, (__global <span class="keywordtype">short</span> *)mag_row_ptr + xc));</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; float4 phase_f32 = convert_float4(vload4(0, phase_row_ptr + xc));</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="comment">// Scale phase: phase * scale + 0.5f</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; phase_f32 = (float4)0.5f + phase_f32 * (float4)PHASE_SCALE;</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="comment">// Compute histogram index.</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; int4 hidx_s32 = convert_int4(phase_f32);</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">// Compute magnitude weights (w0 and w1)</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keyword">const</span> float4 hidx_f32 = convert_float4(hidx_s32);</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="comment">// w1 = phase_f32 - hidx_s32</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keyword">const</span> float4 w1_f32 = phase_f32 - hidx_f32;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="comment">// w0 = 1.0 - w1</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keyword">const</span> float4 w0_f32 = (float4)1.0f - w1_f32;</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="comment">// Calculate the weights for splitting vote</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keyword">const</span> float4 mag_w0_f32 = mag_f32 * w0_f32;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keyword">const</span> float4 mag_w1_f32 = mag_f32 * w1_f32;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="comment">// Weighted vote between 2 bins</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="comment">// Check if the histogram index is equal to NUM_BINS. If so, replace the index with 0</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; hidx_s32 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(hidx_s32, (int4)0, hidx_s32 == (int4)(NUM_BINS));</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">// Bin 0</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; bins[hidx_s32.s0] += mag_w0_f32.s0;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; bins[hidx_s32.s1] += mag_w0_f32.s1;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; bins[hidx_s32.s2] += mag_w0_f32.s2;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; bins[hidx_s32.s3] += mag_w0_f32.s3;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; hidx_s32 += (int4)1;</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; <span class="comment">// Check if the histogram index is equal to NUM_BINS. If so, replace the index with 0</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; hidx_s32 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(hidx_s32, (int4)0, hidx_s32 == (int4)(NUM_BINS));</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="comment">// Bin1</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; bins[hidx_s32.s0] += mag_w1_f32.s0;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; bins[hidx_s32.s1] += mag_w1_f32.s1;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; bins[hidx_s32.s2] += mag_w1_f32.s2;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; bins[hidx_s32.s3] += mag_w1_f32.s3;</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;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="comment">// Left over computation</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">for</span>(; xc &lt; CELL_WIDTH; xc++)</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="keyword">const</span> <span class="keywordtype">float</span> mag_value = *((__global <span class="keywordtype">short</span> *)mag_row_ptr + xc);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> phase_value = *(phase_row_ptr + xc) * (<span class="keywordtype">float</span>)PHASE_SCALE + 0.5f;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> w1 = phase_value - floor(phase_value);</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="comment">// The quantised phase is the histogram index [0, NUM_BINS - 1]</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="comment">// Check limit of histogram index. If hidx == NUM_BINS, hidx = 0</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keyword">const</span> uint hidx = (uint)(phase_value) % NUM_BINS;</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; <span class="comment">// Weighted vote between 2 bins</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; bins[hidx] += mag_value * (1.0f - w1);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; bins[(hidx + 1) % NUM_BINS] += mag_value * w1;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="comment">// Point to the next row of magnitude and phase images</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; mag_row_ptr += mag_stride_y;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; phase_row_ptr += phase_stride_y;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="comment">// Compute address for the destination image</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</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="comment">// Store the local HOG in the global memory</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordtype">int</span> xc = 0;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keywordflow">for</span>(; xc &lt;= (NUM_BINS - 4); xc += 4)</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; {</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; float4 values = vload4(0, bins + xc);</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; vstore4(values, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + xc);</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">// Left over stores</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keywordflow">for</span>(; xc &lt; NUM_BINS; ++xc)</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; ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr)[xc] = bins[xc];</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; }</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;<span class="preprocessor">#endif </span><span class="comment">/* CELL_WIDTH and CELL_HEIGHT and NUM_BINS and PHASE_SCALE */</span><span class="preprocessor"></span></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;<span class="preprocessor">#if defined(NUM_CELLS_PER_BLOCK_HEIGHT) &amp;&amp; defined(NUM_BINS_PER_BLOCK_X) &amp;&amp; defined(NUM_BINS_PER_BLOCK) &amp;&amp; defined(HOG_NORM_TYPE) &amp;&amp; defined(L2_HYST_THRESHOLD)</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;<span class="preprocessor">#ifndef L2_NORM</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;<span class="preprocessor">#error The value of enum class HOGNormType::L2_NORM has not be passed to the OpenCL kernel</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* not L2_NORM */</span><span class="preprocessor"></span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;<span class="preprocessor">#ifndef L2HYS_NORM</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;<span class="preprocessor">#error The value of enum class HOGNormType::L2HYS_NORM has not be passed to the OpenCL kernel</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* not L2HYS_NORM */</span><span class="preprocessor"></span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;<span class="preprocessor">#ifndef L1_NORM</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;<span class="preprocessor">#error The value of enum class HOGNormType::L1_NORM has not be passed to the OpenCL kernel</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* not L1_NORM */</span><span class="preprocessor"></span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;<span class="comment">/** This OpenCL kernel computes the HOG block normalization</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;<span class="comment"> * @attention The following variables must be passed at compile time:</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;<span class="comment"> * -# -DNUM_CELLS_PER_BLOCK_HEIGHT = Number of cells for each block</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;<span class="comment"> * -# -DNUM_BINS_PER_BLOCK_X = Number of bins for each block along the X direction</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160;<span class="comment"> * -# -DNUM_BINS_PER_BLOCK = Number of bins for each block</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160;<span class="comment"> * -# -DHOG_NORM_TYPE = Normalization type</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;<span class="comment"> * -# -DL2_HYST_THRESHOLD = Threshold used for L2HYS_NORM normalization method</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;<span class="comment"> * -# -DL2_NORM = Value of the enum class HOGNormType::L2_NORM</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;<span class="comment"> * -# -DL2HYS_NORM = Value of the enum class HOGNormType::L2HYS_NORM</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;<span class="comment"> * -# -DL1_NORM = Value of the enum class HOGNormType::L1_NORM</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;<span class="comment"> * @note Each work-item computes a single block</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image which stores the local HOG. Supported data types: F32. Number of channels supported: equal to the number of histogram bins per cell</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160;<span class="comment"> * @param[out] dst_ptr Pointer to the destination image which stores the normlized HOG Supported data types: F32. Number of channels supported: equal to the number of histogram bins per block</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination image in X dimension (in bytes)</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination image in Y dimension (in bytes)</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;__kernel <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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>))</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;{</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</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="l00210"></a><span class="lineno"> 210</span>&#160; float4 sum_f32 = (float4)(0.0f);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="comment">// Compute address for the source and destination tensor</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> yc = 0; yc &lt; NUM_CELLS_PER_BLOCK_HEIGHT; ++yc)</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; {</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="keyword">const</span> __global <span class="keywordtype">float</span> *hist_ptr = (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + yc * src_stride_y);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; <span class="keywordtype">int</span> xc = 0;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <span class="keywordflow">for</span>(; xc &lt;= (NUM_BINS_PER_BLOCK_X - 16); xc += 16)</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="keyword">const</span> float4 val0 = vload4(0, hist_ptr + xc + 0);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <span class="keyword">const</span> float4 val1 = vload4(0, hist_ptr + xc + 4);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <span class="keyword">const</span> float4 val2 = vload4(0, hist_ptr + xc + 8);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="keyword">const</span> float4 val3 = vload4(0, hist_ptr + xc + 12);</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;<span class="preprocessor">#if(HOG_NORM_TYPE == L2_NORM) || (HOG_NORM_TYPE == L2HYS_NORM)</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <span class="comment">// Compute val^2 for L2_NORM or L2HYS_NORM</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; sum_f32 += val0 * val0;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; sum_f32 += val1 * val1;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; sum_f32 += val2 * val2;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; sum_f32 += val3 * val3;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* (HOG_NORM_TYPE == L2_NORM) || (HOG_NORM_TYPE == L2HYS_NORM) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <span class="comment">// Compute |val| for L1_NORM</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; sum_f32 += fabs(val0);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; sum_f32 += fabs(val1);</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; sum_f32 += fabs(val2);</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; sum_f32 += fabs(val3);</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* (HOG_NORM_TYPE == L2_NORM) || (HOG_NORM_TYPE == L2HYS_NORM) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="comment">// Store linearly the input values un-normalized in the output image. These values will be reused for the normalization.</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; <span class="comment">// This approach will help us to be cache friendly in the next for loop where the normalization will be done because all the values</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <span class="comment">// will be accessed consecutively</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; vstore4(val0, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + xc + 0 + yc * NUM_BINS_PER_BLOCK_X);</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; vstore4(val1, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + xc + 4 + yc * NUM_BINS_PER_BLOCK_X);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; vstore4(val2, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + xc + 8 + yc * NUM_BINS_PER_BLOCK_X);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; vstore4(val3, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + xc + 12 + yc * NUM_BINS_PER_BLOCK_X);</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;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="comment">// Compute left over</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <span class="keywordflow">for</span>(; xc &lt; NUM_BINS_PER_BLOCK_X; ++xc)</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; {</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> val = hist_ptr[xc];</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;<span class="preprocessor">#if(HOG_NORM_TYPE == L2_NORM) || (HOG_NORM_TYPE == L2HYS_NORM)</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> += val * val;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* (HOG_NORM_TYPE == L2_NORM) || (HOG_NORM_TYPE == L2HYS_NORM) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> += fabs(val);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* (HOG_NORM_TYPE == L2_NORM) || (HOG_NORM_TYPE == L2HYS_NORM) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr)[xc + 0 + yc * NUM_BINS_PER_BLOCK_X] = val;</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; }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> += dot(sum_f32, (float4)1.0f);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a> = 1.0f / (sqrt(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>) + NUM_BINS_PER_BLOCK * 0.1f);</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="preprocessor">#if(HOG_NORM_TYPE == L2HYS_NORM)</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <span class="comment">// Reset sum</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; sum_f32 = (float4)0.0f;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = 0.0f;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="keywordtype">int</span> k = 0;</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keywordflow">for</span>(; k &lt;= NUM_BINS_PER_BLOCK - 16; k += 16)</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; {</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; float4 val0 = vload4(0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + k + 0);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; float4 val1 = vload4(0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + k + 4);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; float4 val2 = vload4(0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + k + 8);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; float4 val3 = vload4(0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + k + 12);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160;</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; <span class="comment">// Scale val</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; val0 = val0 * (float4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; val1 = val1 * (float4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; val2 = val2 * (float4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; val3 = val3 * (float4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>;</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160;</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; <span class="comment">// Clip val if over _threshold_l2hys</span></div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; val0 = fmin(val0, (float4)L2_HYST_THRESHOLD);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; val1 = fmin(val1, (float4)L2_HYST_THRESHOLD);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; val2 = fmin(val2, (float4)L2_HYST_THRESHOLD);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; val3 = fmin(val3, (float4)L2_HYST_THRESHOLD);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="comment">// Compute val^2</span></div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; sum_f32 += val0 * val0;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; sum_f32 += val1 * val1;</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; sum_f32 += val2 * val2;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; sum_f32 += val3 * val3;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; vstore4(val0, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + k + 0);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; vstore4(val1, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + k + 4);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; vstore4(val2, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + k + 8);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; vstore4(val3, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + k + 12);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; <span class="comment">// Compute left over</span></div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <span class="keywordflow">for</span>(; k &lt; NUM_BINS_PER_BLOCK; ++k)</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; {</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; <span class="keywordtype">float</span> val = ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr)[k] * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; <span class="comment">// Clip scaled input_value if over L2_HYST_THRESHOLD</span></div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; val = fmin(val, (<span class="keywordtype">float</span>)L2_HYST_THRESHOLD);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160;</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> += val * val;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr)[k] = val;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; }</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160;</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> += dot(sum_f32, (float4)1.0f);</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160;</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; <span class="comment">// We use the same constants of OpenCV</span></div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a> = 1.0f / (sqrt(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>) + 1e-3f);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* (HOG_NORM_TYPE == L2HYS_NORM) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <span class="keywordtype">int</span> i = 0;</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; <span class="keywordflow">for</span>(; i &lt;= (NUM_BINS_PER_BLOCK - 16); i += 16)</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; {</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; float4 val0 = vload4(0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + i + 0);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; float4 val1 = vload4(0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + i + 4);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; float4 val2 = vload4(0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + i + 8);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; float4 val3 = vload4(0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + i + 12);</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160;</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; <span class="comment">// Multiply val by the normalization scale factor</span></div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; val0 = val0 * (float4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>;</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; val1 = val1 * (float4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; val2 = val2 * (float4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; val3 = val3 * (float4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; vstore4(val0, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + i + 0);</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; vstore4(val1, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + i + 4);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; vstore4(val2, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + i + 8);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; vstore4(val3, 0, ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr) + i + 12);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; }</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160;</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; <span class="keywordflow">for</span>(; i &lt; NUM_BINS_PER_BLOCK; ++i)</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; {</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; ((__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr)[i] *= <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>;</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; }</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160;}</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NUM_CELLS_PER_BLOCK_HEIGHT and NUM_BINS_PER_BLOCK_X and NUM_BINS_PER_BLOCK and HOG_NORM_TYPE and L2_HYST_THRESHOLD */</span><span class="preprocessor"></span></div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160;</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160;<span class="preprocessor">#if defined(NUM_BLOCKS_PER_DESCRIPTOR_Y) &amp;&amp; defined(NUM_BINS_PER_DESCRIPTOR_X) &amp;&amp; defined(THRESHOLD) &amp;&amp; defined(MAX_NUM_DETECTION_WINDOWS) &amp;&amp; defined(IDX_CLASS) &amp;&amp; defined(DETECTION_WINDOW_STRIDE_WIDTH) &amp;&amp; defined(DETECTION_WINDOW_STRIDE_HEIGHT) &amp;&amp; defined(DETECTION_WINDOW_WIDTH) &amp;&amp; defined(DETECTION_WINDOW_HEIGHT)</span></div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160;<span class="comment">/** This OpenCL kernel computes the HOG detector using linear SVM</span></div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160;<span class="comment"> * @attention The following variables must be passed at compile time:</span></div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160;<span class="comment"> * -# -DNUM_BLOCKS_PER_DESCRIPTOR_Y = Number of blocks per descriptor along the Y direction</span></div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160;<span class="comment"> * -# -DNUM_BINS_PER_DESCRIPTOR_X = Number of bins per descriptor along the X direction</span></div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160;<span class="comment"> * -# -DTHRESHOLD = Threshold for the distance between features and SVM classifying plane</span></div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160;<span class="comment"> * -# -DMAX_NUM_DETECTION_WINDOWS = Maximum number of possible detection windows. It is equal to the size of the DetectioWindow array</span></div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160;<span class="comment"> * -# -DIDX_CLASS = Index of the class to detect</span></div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160;<span class="comment"> * -# -DDETECTION_WINDOW_STRIDE_WIDTH = Detection window stride for the X direction</span></div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160;<span class="comment"> * -# -DDETECTION_WINDOW_STRIDE_HEIGHT = Detection window stride for the Y direction</span></div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160;<span class="comment"> * -# -DDETECTION_WINDOW_WIDTH = Width of the detection window</span></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160;<span class="comment"> * -# -DDETECTION_WINDOW_HEIGHT = Height of the detection window</span></div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160;<span class="comment"> * @note Each work-item computes a single detection window</span></div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image which stores the local HOG. Supported data types: F32. Number of channels supported: equal to the number of histogram bins per cell</span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160;<span class="comment"> * @param[in] hog_descriptor Pointer to HOG descriptor. Supported data types: F32</span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160;<span class="comment"> * @param[out] dst Pointer to DetectionWindow array</span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160;<span class="comment"> * @param[out] num_detection_windows Number of objects detected</span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a174ee1e2e66053db45c7fb4aa68920e7">hog_detector</a>(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; __global <span class="keywordtype">float</span> *<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa0803d3eb7f6177d7ff8eb49cf0772ab">hog_descriptor</a>,</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; __global <a class="code" href="struct_detection_window.xhtml">DetectionWindow</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>,</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; __global uint *num_detection_windows)</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160;{</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; <span class="comment">// Check if the DetectionWindow array is full</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; <span class="keywordflow">if</span>(*num_detection_windows &gt;= MAX_NUM_DETECTION_WINDOWS)</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; }</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> src_step_y_f32 = src_stride_y / <span class="keyword">sizeof</span>(float);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; <span class="comment">// Init score_f32 with 0</span></div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; float4 score_f32 = (float4)0.0f;</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; <span class="comment">// Init score with 0</span></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; <span class="keywordtype">float</span> score = 0.0f;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160;</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; __global <span class="keywordtype">float</span> *src_row_ptr = (__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr;</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160;</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; <span class="comment">// Compute Linear SVM</span></div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> yb = 0; yb &lt; NUM_BLOCKS_PER_DESCRIPTOR_Y; ++yb, src_row_ptr += src_step_y_f32)</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; {</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; <span class="keywordtype">int</span> xb = 0;</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160;</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> offset_y = yb * NUM_BINS_PER_DESCRIPTOR_X;</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; <span class="keywordflow">for</span>(; xb &lt; (int)NUM_BINS_PER_DESCRIPTOR_X - 8; xb += 8)</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; {</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; <span class="comment">// Load descriptor values</span></div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; float4 a0_f32 = vload4(0, src_row_ptr + xb + 0);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; float4 a1_f32 = vload4(0, src_row_ptr + xb + 4);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160;</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; float4 b0_f32 = vload4(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa0803d3eb7f6177d7ff8eb49cf0772ab">hog_descriptor</a> + xb + 0 + offset_y);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; float4 b1_f32 = vload4(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa0803d3eb7f6177d7ff8eb49cf0772ab">hog_descriptor</a> + xb + 4 + offset_y);</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160;</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; <span class="comment">// Multiply accumulate</span></div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; score_f32 += a0_f32 * b0_f32;</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; score_f32 += a1_f32 * b1_f32;</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; }</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160;</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; <span class="keywordflow">for</span>(; xb &lt; NUM_BINS_PER_DESCRIPTOR_X; ++xb)</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; {</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> a = src_row_ptr[xb];</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa0803d3eb7f6177d7ff8eb49cf0772ab">hog_descriptor</a>[xb + offset_y];</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160;</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; score += a * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; }</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; }</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160;</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; score += dot(score_f32, (float4)1.0f);</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160;</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; <span class="comment">// Add the bias. The bias is located at the position (descriptor_size() - 1)</span></div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; <span class="comment">// (descriptor_size - 1) = NUM_BINS_PER_DESCRIPTOR_X * NUM_BLOCKS_PER_DESCRIPTOR_Y</span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; score += <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa0803d3eb7f6177d7ff8eb49cf0772ab">hog_descriptor</a>[NUM_BINS_PER_DESCRIPTOR_X * NUM_BLOCKS_PER_DESCRIPTOR_Y];</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160;</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; <span class="keywordflow">if</span>(score &gt; (<span class="keywordtype">float</span>)THRESHOLD)</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; {</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; <span class="keywordtype">int</span> <span class="keywordtype">id</span> = atomic_inc(num_detection_windows);</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; <span class="keywordflow">if</span>(<span class="keywordtype">id</span> &lt; MAX_NUM_DETECTION_WINDOWS)</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; {</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[id].x = get_global_id(0) * DETECTION_WINDOW_STRIDE_WIDTH;</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[id].y = get_global_id(1) * DETECTION_WINDOW_STRIDE_HEIGHT;</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[id].width = DETECTION_WINDOW_WIDTH;</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[id].height = DETECTION_WINDOW_HEIGHT;</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[id].idx_class = IDX_CLASS;</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[id].score = score;</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; }</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; }</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160;}</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NUM_BLOCKS_PER_DESCRIPTOR_Y &amp;&amp; NUM_BINS_PER_DESCRIPTOR_X &amp;&amp; THRESHOLD &amp;&amp; MAX_NUM_DETECTION_WINDOWS &amp;&amp; IDX_CLASS &amp;&amp;</span></div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160;<span class="comment"> * DETECTION_WINDOW_STRIDE_WIDTH &amp;&amp; DETECTION_WINDOW_STRIDE_HEIGHT &amp;&amp; DETECTION_WINDOW_WIDTH &amp;&amp; DETECTION_WINDOW_HEIGHT */</span><span class="preprocessor"></span></div><div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_aebe814363556c244be043b13e7969197"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00311">helpers.h:311</a></div></div>
<div class="ttc" id="struct_detection_window_xhtml"><div class="ttname"><a href="struct_detection_window.xhtml">DetectionWindow</a></div><div class="ttdoc">Detection window struct.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_types_8h_source.xhtml#l00047">types.h:47</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor&lt; float &gt; b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a22f42fcf2077d951271df83b55c1a71a"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a></div><div class="ttdeci">#define IMAGE_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00275">helpers.h:275</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="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_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</a></div></div>
<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00349">helpers.h:349</a></div></div>
<div class="ttc" id="struct_image_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">Image::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00351">helpers.h:351</a></div></div>
<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>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acec6d8ad52a28972fa74e071c1a63b6a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">arm_compute::test::validation::scale</a></div><div class="ttdeci">scale</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00375">PixelWiseMultiplication.cpp:375</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af77145fbdc6b0c8931148f5597d9de53"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">arm_compute::test::validation::select</a></div><div class="ttdeci">CLSelect select</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_select_8cpp_source.xhtml#l00164">Select.cpp:164</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_types_8h_xhtml"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_types_8h.xhtml">types.h</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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