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<div class="title">CLOpticalFlow.cpp</div> </div>
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<a href="_c_l_optical_flow_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="_c_l_optical_flow_8h.xhtml">arm_compute/runtime/CL/functions/CLOpticalFlow.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="_i_c_l_tensor_8h.xhtml">arm_compute/core/CL/ICLTensor.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="_c_l_l_k_tracker_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLLKTrackerKernel.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="_error_8h.xhtml">arm_compute/core/Error.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_info_8h.xhtml">arm_compute/core/TensorInfo.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_window_8h.xhtml">arm_compute/core/Window.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_pyramid_8h.xhtml">arm_compute/runtime/CL/CLPyramid.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_scheduler_8h.xhtml">arm_compute/runtime/CL/CLScheduler.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_tensor_allocator_8h.xhtml">arm_compute/runtime/CL/CLTensorAllocator.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_scharr3x3_8h.xhtml">arm_compute/runtime/CL/functions/CLScharr3x3.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_toolchain_support_8h.xhtml">support/ToolchainSupport.h</a>&quot;</span></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">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</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"><a class="line" href="classarm__compute_1_1_c_l_optical_flow.xhtml#af823f026d40781422461f10013b78b62"> 40</a></span>&#160;<a class="code" href="classarm__compute_1_1_c_l_optical_flow.xhtml#af823f026d40781422461f10013b78b62">CLOpticalFlow::CLOpticalFlow</a>(std::shared_ptr&lt;IMemoryManager&gt; memory_manager) <span class="comment">// NOLINT</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; : _memory_group(std::move(memory_manager)),</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; _tracker_init_kernel(),</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; _tracker_stage0_kernel(),</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; _tracker_stage1_kernel(),</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; _tracker_finalize_kernel(),</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; _func_scharr(),</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; _scharr_gx(),</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; _scharr_gy(),</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; _old_points(nullptr),</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; _new_points_estimates(nullptr),</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; _new_points(nullptr),</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; _old_points_internal(),</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; _new_points_internal(),</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; _coefficient_table(),</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; _old_values(),</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; _num_levels(0)</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;}</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_optical_flow.xhtml#a8cd74e6bc7d3bcebbac4002717857601"> 60</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_optical_flow.xhtml#a8cd74e6bc7d3bcebbac4002717857601">CLOpticalFlow::configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml">CLPyramid</a> *old_pyramid, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml">CLPyramid</a> *new_pyramid,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLKeyPointArray</a> *old_points, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLKeyPointArray</a> *new_points_estimates, <a class="code" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLKeyPointArray</a> *new_points,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a08c1503414e23f5dd10ff83492685453">Termination</a> termination, <span class="keywordtype">float</span> <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, <span class="keywordtype">size_t</span> num_iterations, <span class="keywordtype">size_t</span> window_dimension, <span class="keywordtype">bool</span> use_initial_estimate,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, uint8_t constant_border_value)</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;{</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<span class="keyword">nullptr</span> == old_pyramid);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<span class="keyword">nullptr</span> == new_pyramid);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<span class="keyword">nullptr</span> == old_points);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<span class="keyword">nullptr</span> == new_points_estimates);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<span class="keyword">nullptr</span> == new_points);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(old_pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>() != new_pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>());</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(0 == old_pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>());</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(old_pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">width</a>() != new_pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">width</a>());</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(old_pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#adc662cea5b05cd9852d5a4538586d662">height</a>() != new_pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#adc662cea5b05cd9852d5a4538586d662">height</a>());</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(use_initial_estimate &amp;&amp; old_points-&gt;<a class="code" href="classarm__compute_1_1_i_array.xhtml#aac8e28a698cd201286d75eb3f5ad3e1c">num_values</a>() != new_points_estimates-&gt;<a class="code" href="classarm__compute_1_1_i_array.xhtml#aac8e28a698cd201286d75eb3f5ad3e1c">num_values</a>());</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="comment">// Set member variables</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; _old_points = old_points;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; _new_points_estimates = new_points_estimates;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; _new_points = new_points;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; _num_levels = old_pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> pyr_scale = old_pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea">scale</a>();</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> list_length = old_points-&gt;<a class="code" href="classarm__compute_1_1_i_array.xhtml#aac8e28a698cd201286d75eb3f5ad3e1c">num_values</a>();</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> old_values_list_length = list_length * window_dimension * window_dimension;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="comment">// Create kernels and tensors</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; _tracker_init_kernel.resize(_num_levels);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; _tracker_stage0_kernel.resize(_num_levels);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; _tracker_stage1_kernel.resize(_num_levels);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; _func_scharr.resize(_num_levels);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; _scharr_gx.resize(_num_levels);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; _scharr_gy.resize(_num_levels);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="comment">// Create internal keypoint arrays</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; _old_points_internal = arm_compute::support::cpp14::make_unique&lt;CLLKInternalKeypointArray&gt;(list_length);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; _old_points_internal-&gt;resize(list_length);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; _new_points_internal = arm_compute::support::cpp14::make_unique&lt;CLLKInternalKeypointArray&gt;(list_length);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; _new_points_internal-&gt;resize(list_length);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; _coefficient_table = arm_compute::support::cpp14::make_unique&lt;CLCoefficientTableArray&gt;(list_length);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; _coefficient_table-&gt;resize(list_length);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; _old_values = arm_compute::support::cpp14::make_unique&lt;CLOldValueArray&gt;(old_values_list_length);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; _old_values-&gt;resize(old_values_list_length);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; _new_points-&gt;<a class="code" href="classarm__compute_1_1_i_array.xhtml#ae21b0e95ded2dcfb5e62848ea0193828">resize</a>(list_length);</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="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; _num_levels; ++i)</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; <span class="comment">// Get images from the ith level of old and right pyramid</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLImage</a> *old_ith_input = old_pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a6f6fce8ca90f3e9a62e2cb48a07047f4">get_pyramid_level</a>(i);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLImage</a> *new_ith_input = new_pyramid-&gt;<a class="code" href="classarm__compute_1_1_c_l_pyramid.xhtml#a6f6fce8ca90f3e9a62e2cb48a07047f4">get_pyramid_level</a>(i);</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; <span class="comment">// Get width and height of images</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width_ith = old_ith_input-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height_ith = new_ith_input-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="comment">// Initialize Scharr tensors</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> tensor_info(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(width_ith, height_ith), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; _scharr_gx[i].allocator()-&gt;init(tensor_info);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; _scharr_gy[i].allocator()-&gt;init(tensor_info);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="comment">// Manage intermediate buffers</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; _memory_group.<a class="code" href="classarm__compute_1_1_memory_group_base.xhtml#ac1f67376afb7822f262a0174ef4a3104">manage</a>(&amp;_scharr_gx[i]);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; _memory_group.<a class="code" href="classarm__compute_1_1_memory_group_base.xhtml#ac1f67376afb7822f262a0174ef4a3104">manage</a>(&amp;_scharr_gy[i]);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="comment">// Init Scharr kernel</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; _func_scharr[i].configure(old_ith_input, &amp;_scharr_gx[i], &amp;_scharr_gy[i], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, constant_border_value);</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; <span class="comment">// Init Lucas-Kanade init kernel</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; _tracker_init_kernel[i].configure(old_points, new_points_estimates, _old_points_internal.get(), _new_points_internal.get(), use_initial_estimate, i, _num_levels, pyr_scale);</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">// Init Lucas-Kanade stage0 kernel</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; _tracker_stage0_kernel[i].configure(old_ith_input, &amp;_scharr_gx[i], &amp;_scharr_gy[i],</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; _old_points_internal.get(), _new_points_internal.get(), _coefficient_table.get(), _old_values.get(),</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; window_dimension, i);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="comment">// Init Lucas-Kanade stage1 kernel</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; _tracker_stage1_kernel[i].configure(new_ith_input, _new_points_internal.get(), _coefficient_table.get(), _old_values.get(),</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; termination, <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, num_iterations, window_dimension, i);</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">// Allocate intermediate buffers</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; _scharr_gx[i].allocator()-&gt;allocate();</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; _scharr_gy[i].allocator()-&gt;allocate();</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">// Finalize Lucas-Kanade</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; _tracker_finalize_kernel.<a class="code" href="classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a020db92b2cd6b5c0c8482402f38e08e5">configure</a>(_new_points_internal.get(), new_points);</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;</div><div class="line"><a name="l00148"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb"> 148</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb">CLOpticalFlow::run</a>()</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;{</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(_num_levels == 0, <span class="stringliteral">&quot;Unconfigured function&quot;</span>);</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; <a class="code" href="classarm__compute_1_1_memory_group_resource_scope.xhtml">MemoryGroupResourceScope</a> scope_mg(_memory_group);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> level = _num_levels; level &gt; 0; --level)</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">// Run Scharr kernel</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; _func_scharr[level - 1].run();</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="comment">// Run Lucas-Kanade init kernel</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_tracker_init_kernel[level - 1]);</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="comment">// Run Lucas-Kanade stage0 kernel</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_tracker_stage0_kernel[level - 1]);</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; <span class="comment">// Run Lucas-Kanade stage1 kernel</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_tracker_stage1_kernel[level - 1]);</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; <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_tracker_finalize_kernel, <span class="keyword">true</span>);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;}</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#l00251">Types.h:251</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="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div>
<div class="ttc" id="_c_l_l_k_tracker_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_l_k_tracker_kernel_8h.xhtml">CLLKTrackerKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a178f0d3d87f959e00a743328d95359d2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">arm_compute::ITensorInfo::dimension</a></div><div class="ttdeci">virtual size_t dimension(size_t index) const =0</div><div class="ttdoc">Return the size of the requested dimension.</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a9b58d0eb9a2af8e6d7908695e1557d6c"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">arm_compute::CLScheduler::get</a></div><div class="ttdeci">static CLScheduler &amp; get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00041">CLScheduler.cpp:41</a></div></div>
<div class="ttc" id="_c_l_scharr3x3_8h_xhtml"><div class="ttname"><a href="_c_l_scharr3x3_8h.xhtml">CLScharr3x3.h</a></div></div>
<div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div>
<div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</a></div></div>
<div class="ttc" id="_window_8h_xhtml"><div class="ttname"><a href="_window_8h.xhtml">Window.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_pyramid_xhtml_a7e9f724340af5b795b21a00d35eeb28e"><div class="ttname"><a href="classarm__compute_1_1_c_l_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">arm_compute::CLPyramid::info</a></div><div class="ttdeci">const PyramidInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the Pyramid's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_pyramid_8cpp_source.xhtml#l00118">CLPyramid.cpp:118</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_array_xhtml_ae21b0e95ded2dcfb5e62848ea0193828"><div class="ttname"><a href="classarm__compute_1_1_i_array.xhtml#ae21b0e95ded2dcfb5e62848ea0193828">arm_compute::IArray::resize</a></div><div class="ttdeci">void resize(size_t num)</div><div class="ttdoc">Resizes the array to contain &quot;num&quot; elements.</div><div class="ttdef"><b>Definition:</b> <a href="_i_array_8h_source.xhtml#l00128">IArray.h:128</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div>
<div class="ttc" id="_tensor_info_8h_xhtml"><div class="ttname"><a href="_tensor_info_8h.xhtml">TensorInfo.h</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) 2017-2018 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_c_l_l_k_tracker_finalize_kernel_xhtml_a020db92b2cd6b5c0c8482402f38e08e5"><div class="ttname"><a href="classarm__compute_1_1_c_l_l_k_tracker_finalize_kernel.xhtml#a020db92b2cd6b5c0c8482402f38e08e5">arm_compute::CLLKTrackerFinalizeKernel::configure</a></div><div class="ttdeci">void configure(ICLLKInternalKeypointArray *new_points_internal, ICLKeyPointArray *new_points)</div><div class="ttdoc">Initialise the kernel input and output.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_l_k_tracker_kernel_8cpp_source.xhtml#l00089">CLLKTrackerKernel.cpp:89</a></div></div>
<div class="ttc" id="_c_l_tensor_allocator_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_allocator_8h.xhtml">CLTensorAllocator.h</a></div></div>
<div class="ttc" id="_c_l_scheduler_8h_xhtml"><div class="ttname"><a href="_c_l_scheduler_8h.xhtml">CLScheduler.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_optical_flow_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLOpticalFlow::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_optical_flow_8cpp_source.xhtml#l00148">CLOpticalFlow.cpp:148</a></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="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00118">Convolution.cpp:118</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_array_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_array.xhtml">arm_compute::ICLArray</a></div><div class="ttdoc">Interface for OpenCL Array.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_array_8h_source.xhtml#l00035">ICLArray.h:35</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_array_xhtml_aac8e28a698cd201286d75eb3f5ad3e1c"><div class="ttname"><a href="classarm__compute_1_1_i_array.xhtml#aac8e28a698cd201286d75eb3f5ad3e1c">arm_compute::IArray::num_values</a></div><div class="ttdeci">size_t num_values() const</div><div class="ttdoc">Number of values currently stored in the array.</div><div class="ttdef"><b>Definition:</b> <a href="_i_array_8h_source.xhtml#l00068">IArray.h:68</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_pyramid_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_pyramid.xhtml">arm_compute::CLPyramid</a></div><div class="ttdoc">Basic implementation of the OpenCL pyramid interface.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_pyramid_8h_source.xhtml#l00040">CLPyramid.h:40</a></div></div>
<div class="ttc" id="classarm__compute_1_1_memory_group_base_xhtml_ac1f67376afb7822f262a0174ef4a3104"><div class="ttname"><a href="classarm__compute_1_1_memory_group_base.xhtml#ac1f67376afb7822f262a0174ef4a3104">arm_compute::MemoryGroupBase::manage</a></div><div class="ttdeci">void manage(TensorType *obj)</div><div class="ttdoc">Sets a object to be managed by the given memory group.</div><div class="ttdef"><b>Definition:</b> <a href="_memory_group_base_8h_source.xhtml#l00102">MemoryGroupBase.h:102</a></div></div>
<div class="ttc" id="_c_l_optical_flow_8h_xhtml"><div class="ttname"><a href="_c_l_optical_flow_8h.xhtml">CLOpticalFlow.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_ade87abafbd6b200b22de988f32b66dea"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea">arm_compute::PyramidInfo::scale</a></div><div class="ttdeci">float scale() const</div><div class="ttdoc">Return the scale factor of the pyramid.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00102">PyramidInfo.cpp:102</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a08c1503414e23f5dd10ff83492685453"><div class="ttname"><a href="namespacearm__compute.xhtml#a08c1503414e23f5dd10ff83492685453">arm_compute::Termination</a></div><div class="ttdeci">Termination</div><div class="ttdoc">Termination criteria.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00378">Types.h:378</a></div></div>
<div class="ttc" id="_error_8h_xhtml"><div class="ttname"><a href="_error_8h.xhtml">Error.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 S16 per channel</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_ae1a643e517f50bf0392fb6516dd7cf67"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">arm_compute::CLScheduler::enqueue</a></div><div class="ttdeci">void enqueue(ICLKernel &amp;kernel, bool flush=true)</div><div class="ttdoc">Schedule the execution of the passed kernel if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00095">CLScheduler.cpp:95</a></div></div>
<div class="ttc" id="_c_l_pyramid_8h_xhtml"><div class="ttname"><a href="_c_l_pyramid_8h.xhtml">CLPyramid.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_memory_group_resource_scope_xhtml"><div class="ttname"><a href="classarm__compute_1_1_memory_group_resource_scope.xhtml">arm_compute::MemoryGroupResourceScope</a></div><div class="ttdoc">Memory group resources scope handling class.</div><div class="ttdef"><b>Definition:</b> <a href="_i_memory_group_8h_source.xhtml#l00046">IMemoryGroup.h:46</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml">arm_compute::ICLTensor</a></div><div class="ttdoc">Interface for OpenCL tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8h_source.xhtml#l00042">ICLTensor.h:42</a></div></div>
<div class="ttc" id="_i_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_i_c_l_tensor_8h.xhtml">ICLTensor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_optical_flow_xhtml_a8cd74e6bc7d3bcebbac4002717857601"><div class="ttname"><a href="classarm__compute_1_1_c_l_optical_flow.xhtml#a8cd74e6bc7d3bcebbac4002717857601">arm_compute::CLOpticalFlow::configure</a></div><div class="ttdeci">void configure(const CLPyramid *old_pyramid, const CLPyramid *new_pyramid, const ICLKeyPointArray *old_points, const ICLKeyPointArray *new_points_estimates, ICLKeyPointArray *new_points, Termination termination, float epsilon, size_t num_iterations, size_t window_dimension, bool use_initial_estimate, BorderMode border_mode, uint8_t constant_border_value=0)</div><div class="ttdoc">Initialise the function input and output.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_optical_flow_8cpp_source.xhtml#l00060">CLOpticalFlow.cpp:60</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_optical_flow_xhtml_af823f026d40781422461f10013b78b62"><div class="ttname"><a href="classarm__compute_1_1_c_l_optical_flow.xhtml#af823f026d40781422461f10013b78b62">arm_compute::CLOpticalFlow::CLOpticalFlow</a></div><div class="ttdeci">CLOpticalFlow(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_optical_flow_8cpp_source.xhtml#l00040">CLOpticalFlow.cpp:40</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_pyramid_xhtml_a6f6fce8ca90f3e9a62e2cb48a07047f4"><div class="ttname"><a href="classarm__compute_1_1_c_l_pyramid.xhtml#a6f6fce8ca90f3e9a62e2cb48a07047f4">arm_compute::CLPyramid::get_pyramid_level</a></div><div class="ttdeci">CLTensor * get_pyramid_level(size_t index) const override</div><div class="ttdoc">Retrieves a level of the pyramid as a ITensor pointer.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_pyramid_8cpp_source.xhtml#l00123">CLPyramid.cpp:123</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="classarm__compute_1_1_pyramid_info_xhtml_a9ce99f5dfa1514cb108665e3810b2c4c"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">arm_compute::PyramidInfo::width</a></div><div class="ttdeci">size_t width() const</div><div class="ttdoc">Return the width of the 0th level tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00082">PyramidInfo.cpp:82</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_aa2fea6640d2bd5de24d0e0c2433faab6"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">arm_compute::PyramidInfo::num_levels</a></div><div class="ttdeci">size_t num_levels() const</div><div class="ttdoc">Return the number of the pyramid levels.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00077">PyramidInfo.cpp:77</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pyramid_info_xhtml_adc662cea5b05cd9852d5a4538586d662"><div class="ttname"><a href="classarm__compute_1_1_pyramid_info.xhtml#adc662cea5b05cd9852d5a4538586d662">arm_compute::PyramidInfo::height</a></div><div class="ttdeci">size_t height() const</div><div class="ttdoc">Return the height of the 0th level tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_pyramid_info_8cpp_source.xhtml#l00087">PyramidInfo.cpp:87</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
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