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| <div class="header"> |
| <div class="summary"> |
| <a href="#pub-methods">Public Member Functions</a> </div> |
| <div class="headertitle"> |
| <div class="title">NEOpticalFlow Class Reference</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| |
| <p>Basic function to execute optical flow. |
| <a href="classarm__compute_1_1_n_e_optical_flow.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_n_e_optical_flow_8h_source.xhtml">NEOpticalFlow.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for NEOpticalFlow:</div> |
| <div class="dyncontent"> |
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| </div> |
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| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <tr class="memitem:ab134eb1c572b0dde645c35795c486661"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ab134eb1c572b0dde645c35795c486661">NEOpticalFlow</a> (std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > memory_manager=nullptr)</td></tr> |
| <tr class="memdesc:ab134eb1c572b0dde645c35795c486661"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#ab134eb1c572b0dde645c35795c486661">More...</a><br /></td></tr> |
| <tr class="separator:ab134eb1c572b0dde645c35795c486661"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad5dfdcf45ad38c48cd725b0fdc675b34"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ad5dfdcf45ad38c48cd725b0fdc675b34">NEOpticalFlow</a> (const <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml">NEOpticalFlow</a> &)=delete</td></tr> |
| <tr class="memdesc:ad5dfdcf45ad38c48cd725b0fdc675b34"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#ad5dfdcf45ad38c48cd725b0fdc675b34">More...</a><br /></td></tr> |
| <tr class="separator:ad5dfdcf45ad38c48cd725b0fdc675b34"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a21df3a34e101b1a8f689aa6326b90441"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml">NEOpticalFlow</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#a21df3a34e101b1a8f689aa6326b90441">operator=</a> (const <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml">NEOpticalFlow</a> &)=delete</td></tr> |
| <tr class="memdesc:a21df3a34e101b1a8f689aa6326b90441"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a21df3a34e101b1a8f689aa6326b90441">More...</a><br /></td></tr> |
| <tr class="separator:a21df3a34e101b1a8f689aa6326b90441"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a36071f8f326ffdbfaf95fded57d6771c"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#a36071f8f326ffdbfaf95fded57d6771c">configure</a> (const <a class="el" href="classarm__compute_1_1_pyramid.xhtml">Pyramid</a> *old_pyramid, const <a class="el" href="classarm__compute_1_1_pyramid.xhtml">Pyramid</a> *new_pyramid, const <a class="el" href="namespacearm__compute.xhtml#ab56a557a5fdf97819f23c35c24f0b0d2">IKeyPointArray</a> *old_points, const <a class="el" href="namespacearm__compute.xhtml#ab56a557a5fdf97819f23c35c24f0b0d2">IKeyPointArray</a> *new_points_estimates, <a class="el" href="namespacearm__compute.xhtml#ab56a557a5fdf97819f23c35c24f0b0d2">IKeyPointArray</a> *new_points, <a class="el" href="namespacearm__compute.xhtml#a08c1503414e23f5dd10ff83492685453">Termination</a> termination, float <a class="el" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, unsigned int num_iterations, size_t window_dimension, bool use_initial_estimate, <a class="el" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> border_mode, uint8_t constant_border_value=0)</td></tr> |
| <tr class="memdesc:a36071f8f326ffdbfaf95fded57d6771c"><td class="mdescLeft"> </td><td class="mdescRight">Initialise the function input and output. <a href="#a36071f8f326ffdbfaf95fded57d6771c">More...</a><br /></td></tr> |
| <tr class="separator:a36071f8f326ffdbfaf95fded57d6771c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad1717410afd0be936c6213a63c8005fb"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr> |
| <tr class="memdesc:ad1717410afd0be936c6213a63c8005fb"><td class="mdescLeft"> </td><td class="mdescRight">Run the kernels contained in the function. <a href="#ad1717410afd0be936c6213a63c8005fb">More...</a><br /></td></tr> |
| <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_function"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_function')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></td></tr> |
| <tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr> |
| <tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr> |
| <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">prepare</a> ()</td></tr> |
| <tr class="memdesc:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Prepare the function for executing. <a href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">More...</a><br /></td></tr> |
| <tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>Basic function to execute optical flow. </p> |
| <p>This function calls the following NEON kernels and functions:</p> |
| <ol type="1"> |
| <li><a class="el" href="classarm__compute_1_1_n_e_scharr3x3.xhtml">NEScharr3x3</a></li> |
| <li><a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml">NELKTrackerKernel</a> </li> |
| </ol> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_optical_flow_8h_source.xhtml#l00053">53</a> of file <a class="el" href="_n_e_optical_flow_8h_source.xhtml">NEOpticalFlow.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="ab134eb1c572b0dde645c35795c486661"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab134eb1c572b0dde645c35795c486661">◆ </a></span>NEOpticalFlow() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml">NEOpticalFlow</a> </td> |
| <td>(</td> |
| <td class="paramtype">std::shared_ptr< <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> > </td> |
| <td class="paramname"><em>memory_manager</em> = <code>nullptr</code></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Constructor. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">memory_manager</td><td>(Optional) <a class="el" href="classarm__compute_1_1_memory.xhtml" title="CPU implementation of memory object.">Memory</a> manager. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_optical_flow_8cpp_source.xhtml#l00040">40</a> of file <a class="el" href="_n_e_optical_flow_8cpp_source.xhtml">NEOpticalFlow.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  : _memory_group(std::move(memory_manager)),</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  _func_scharr(),</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  _kernel_tracker(),</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  _scharr_gx(),</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  _scharr_gy(),</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  _new_points(<span class="keyword">nullptr</span>),</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  _new_points_estimates(<span class="keyword">nullptr</span>),</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  _old_points(<span class="keyword">nullptr</span>),</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  _new_points_internal(),</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  _old_points_internal(),</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  _num_levels(0)</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> {</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="ad5dfdcf45ad38c48cd725b0fdc675b34"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad5dfdcf45ad38c48cd725b0fdc675b34">◆ </a></span>NEOpticalFlow() <span class="overload">[2/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml">NEOpticalFlow</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml">NEOpticalFlow</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">delete</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="a36071f8f326ffdbfaf95fded57d6771c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a36071f8f326ffdbfaf95fded57d6771c">◆ </a></span>configure()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void configure </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pyramid.xhtml">Pyramid</a> * </td> |
| <td class="paramname"><em>old_pyramid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pyramid.xhtml">Pyramid</a> * </td> |
| <td class="paramname"><em>new_pyramid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#ab56a557a5fdf97819f23c35c24f0b0d2">IKeyPointArray</a> * </td> |
| <td class="paramname"><em>old_points</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#ab56a557a5fdf97819f23c35c24f0b0d2">IKeyPointArray</a> * </td> |
| <td class="paramname"><em>new_points_estimates</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab56a557a5fdf97819f23c35c24f0b0d2">IKeyPointArray</a> * </td> |
| <td class="paramname"><em>new_points</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a08c1503414e23f5dd10ff83492685453">Termination</a> </td> |
| <td class="paramname"><em>termination</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>epsilon</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>num_iterations</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>window_dimension</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>use_initial_estimate</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> </td> |
| <td class="paramname"><em>border_mode</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">uint8_t </td> |
| <td class="paramname"><em>constant_border_value</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Initialise the function input and output. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">old_pyramid</td><td>Pointer to the pyramid for the old tensor. Data type supported U8 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">new_pyramid</td><td>Pointer to the pyramid for the new tensor. Data type supported U8 </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">old_points</td><td>Pointer to the IKeyPointArray storing old key points </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">new_points_estimates</td><td>Pointer to the IKeyPointArray storing new estimates key points </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">new_points</td><td>Pointer to the IKeyPointArray storing new key points </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">termination</td><td>The criteria to terminate the search of each keypoint. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>The error for terminating the algorithm </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_iterations</td><td>The maximum number of iterations before terminate the alogrithm </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">window_dimension</td><td>The size of the window on which to perform the algorithm </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">use_initial_estimate</td><td>The flag to indicate whether the initial estimated position should be used </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">border_mode</td><td>The border mode applied at scharr kernel stage </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">constant_border_value</td><td>(Optional) Constant value to use for borders if border_mode is set to CONSTANT </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_optical_flow_8cpp_source.xhtml#l00055">55</a> of file <a class="el" href="_n_e_optical_flow_8cpp_source.xhtml">NEOpticalFlow.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> {</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <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="l00060"></a><span class="lineno"> 60</span>  <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="l00061"></a><span class="lineno"> 61</span>  <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="l00062"></a><span class="lineno"> 62</span>  <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="l00063"></a><span class="lineno"> 63</span>  <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="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(old_pyramid-><a class="code" href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-><a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>() != new_pyramid-><a class="code" href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-><a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>());</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(0 == old_pyramid-><a class="code" href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-><a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#aa2fea6640d2bd5de24d0e0c2433faab6">num_levels</a>());</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(old_pyramid-><a class="code" href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-><a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">width</a>() != new_pyramid-><a class="code" href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-><a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#a9ce99f5dfa1514cb108665e3810b2c4c">width</a>());</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(old_pyramid-><a class="code" href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-><a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#adc662cea5b05cd9852d5a4538586d662">height</a>() != new_pyramid-><a class="code" href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-><a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#adc662cea5b05cd9852d5a4538586d662">height</a>());</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(use_initial_estimate && old_points-><a class="code" href="classarm__compute_1_1_i_array.xhtml#aac8e28a698cd201286d75eb3f5ad3e1c">num_values</a>() != new_points_estimates-><a class="code" href="classarm__compute_1_1_i_array.xhtml#aac8e28a698cd201286d75eb3f5ad3e1c">num_values</a>());</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  _num_levels = old_pyramid-><a class="code" href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-><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>  _old_points = old_points;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  _new_points = new_points;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  _new_points_estimates = new_points_estimates;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> pyr_scale = old_pyramid-><a class="code" href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">info</a>()-><a class="code" href="classarm__compute_1_1_pyramid_info.xhtml#ade87abafbd6b200b22de988f32b66dea">scale</a>();</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  _func_scharr.clear();</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  _kernel_tracker.clear();</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  _scharr_gx.clear();</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  _scharr_gy.clear();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  _func_scharr.resize(_num_levels);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  _kernel_tracker.resize(_num_levels);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  _scharr_gx.resize(_num_levels);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  _scharr_gy.resize(_num_levels);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  _old_points_internal = <a class="code" href="namespacearm__compute.xhtml#a681c120e2188371794ec3a59768c64ab">LKInternalKeypointArray</a>(old_points-><a class="code" href="classarm__compute_1_1_i_array.xhtml#aac8e28a698cd201286d75eb3f5ad3e1c">num_values</a>());</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  _new_points_internal = <a class="code" href="namespacearm__compute.xhtml#a681c120e2188371794ec3a59768c64ab">LKInternalKeypointArray</a>(old_points-><a class="code" href="classarm__compute_1_1_i_array.xhtml#aac8e28a698cd201286d75eb3f5ad3e1c">num_values</a>());</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  _new_points-><a class="code" href="classarm__compute_1_1_i_array.xhtml#ae21b0e95ded2dcfb5e62848ea0193828">resize</a>(old_points-><a class="code" href="classarm__compute_1_1_i_array.xhtml#aac8e28a698cd201286d75eb3f5ad3e1c">num_values</a>());</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < _num_levels; ++i)</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Get images from the ith level of old and right pyramid</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">IImage</a> *old_ith_input = old_pyramid-><a class="code" href="classarm__compute_1_1_pyramid.xhtml#a62c986dcfc8a16c2fbdc8bf33c77a7b3">get_pyramid_level</a>(i);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">IImage</a> *new_ith_input = new_pyramid-><a class="code" href="classarm__compute_1_1_pyramid.xhtml#a62c986dcfc8a16c2fbdc8bf33c77a7b3">get_pyramid_level</a>(i);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// Get width and height of images</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width_ith = old_ith_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height_ith = new_ith_input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <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), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">Format::S16</a>);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  _scharr_gx[i].allocator()->init(tensor_info);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  _scharr_gy[i].allocator()->init(tensor_info);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// Manage intermediate buffers</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  _memory_group.<a class="code" href="classarm__compute_1_1_memory_group_base.xhtml#ac1f67376afb7822f262a0174ef4a3104">manage</a>(&_scharr_gx[i]);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  _memory_group.<a class="code" href="classarm__compute_1_1_memory_group_base.xhtml#ac1f67376afb7822f262a0174ef4a3104">manage</a>(&_scharr_gy[i]);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Init Scharr kernel</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  _func_scharr[i].configure(old_ith_input, &_scharr_gx[i], &_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="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// Init Lucas-Kanade kernel</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  _kernel_tracker[i].configure(old_ith_input, new_ith_input, &_scharr_gx[i], &_scharr_gy[i],</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  old_points, new_points_estimates, new_points,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  &_old_points_internal, &_new_points_internal,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  termination, use_initial_estimate, <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, num_iterations, window_dimension,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  i, _num_levels, pyr_scale);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  _scharr_gx[i].allocator()->allocate();</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  _scharr_gy[i].allocator()->allocate();</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> }</div><div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_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_pyramid_xhtml_a62c986dcfc8a16c2fbdc8bf33c77a7b3"><div class="ttname"><a href="classarm__compute_1_1_pyramid.xhtml#a62c986dcfc8a16c2fbdc8bf33c77a7b3">arm_compute::Pyramid::get_pyramid_level</a></div><div class="ttdeci">Tensor * 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="_pyramid_8cpp_source.xhtml#l00113">Pyramid.cpp:113</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="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 "num" 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="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</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_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_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="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="classarm__compute_1_1_pyramid_xhtml_a7e9f724340af5b795b21a00d35eeb28e"><div class="ttname"><a href="classarm__compute_1_1_pyramid.xhtml#a7e9f724340af5b795b21a00d35eeb28e">arm_compute::Pyramid::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="_pyramid_8cpp_source.xhtml#l00108">Pyramid.cpp:108</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_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="namespacearm__compute_xhtml_a681c120e2188371794ec3a59768c64ab"><div class="ttname"><a href="namespacearm__compute.xhtml#a681c120e2188371794ec3a59768c64ab">arm_compute::LKInternalKeypointArray</a></div><div class="ttdeci">Array< NELKInternalKeypoint > LKInternalKeypointArray</div><div class="ttdoc">Array of LK Internel Keypoints.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_optical_flow_8h_source.xhtml#l00046">NEOpticalFlow.h:46</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00118">arm_compute::test::validation::border_mode</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo::dimension()</a>, <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00033">epsilon</a>, <a class="el" href="_pyramid_8cpp_source.xhtml#l00113">Pyramid::get_pyramid_level()</a>, <a class="el" href="_pyramid_info_8cpp_source.xhtml#l00087">PyramidInfo::height()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_pyramid_8cpp_source.xhtml#l00108">Pyramid::info()</a>, <a class="el" href="_memory_group_base_8h_source.xhtml#l00102">MemoryGroupBase< TensorType >::manage()</a>, <a class="el" href="_pyramid_info_8cpp_source.xhtml#l00077">PyramidInfo::num_levels()</a>, <a class="el" href="_i_array_8h_source.xhtml#l00068">IArray< T >::num_values()</a>, <a class="el" href="_i_array_8h_source.xhtml#l00128">IArray< T >::resize()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::S16</a>, <a class="el" href="_pyramid_info_8cpp_source.xhtml#l00102">PyramidInfo::scale()</a>, and <a class="el" href="_pyramid_info_8cpp_source.xhtml#l00082">PyramidInfo::width()</a>.</p> |
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| <a id="a21df3a34e101b1a8f689aa6326b90441"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a21df3a34e101b1a8f689aa6326b90441">◆ </a></span>operator=()</h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml">NEOpticalFlow</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_optical_flow.xhtml">NEOpticalFlow</a> & </td> |
| <td class="paramname"></td><td>)</td> |
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| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">delete</span></span> </td> |
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| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
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| </div> |
| </div> |
| <a id="ad1717410afd0be936c6213a63c8005fb"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad1717410afd0be936c6213a63c8005fb">◆ </a></span>run()</h2> |
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| <td class="memname">void run </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
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| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| <p>Run the kernels contained in the function. </p> |
| <p>For NEON kernels:</p><ul> |
| <li>Multi-threading is used for the kernels which are parallelisable.</li> |
| <li>By default std::thread::hardware_concurrency() threads are used.</li> |
| </ul> |
| <dl class="section note"><dt>Note</dt><dd><a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#ae64eebaa07f4d2da6cc2ba538c3cb095">CPPScheduler::set_num_threads()</a> can be used to manually set the number of threads</dd></dl> |
| <p>For OpenCL kernels:</p><ul> |
| <li>All the kernels are enqueued on the queue associated with <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml" title="Provides global access to a CL context and command queue.">CLScheduler</a>.</li> |
| <li>The queue is then flushed.</li> |
| </ul> |
| <dl class="section note"><dt>Note</dt><dd>The function will not block until the kernels are executed. It is the user's responsibility to wait. </dd> |
| <dd> |
| Will call <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26" title="Prepare the function for executing.">prepare()</a> on first run if hasn't been done </dd></dl> |
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| <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_optical_flow_8cpp_source.xhtml#l00125">125</a> of file <a class="el" href="_n_e_optical_flow_8cpp_source.xhtml">NEOpticalFlow.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> {</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(_num_levels == 0, <span class="stringliteral">"Unconfigured function"</span>);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <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="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> level = _num_levels; level > 0; --level)</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  {</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">// Run Scharr kernel</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  _func_scharr[level - 1].run();</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// Run Lucas-Kanade kernel</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">NEScheduler::get</a>().<a class="code" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">schedule</a>(&_kernel_tracker[level - 1], <a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> }</div><div class="ttc" id="classarm__compute_1_1_window_xhtml_aa96e81276ee4f87ab386cd05a5539a7d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a></div><div class="ttdeci">static constexpr size_t DimX</div><div class="ttdoc">Alias for dimension 0 also known as X dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00043">Window.h:43</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_scheduler_xhtml_a4e58f95544bd5ac6559a421671bd9842"><div class="ttname"><a href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">arm_compute::IScheduler::schedule</a></div><div class="ttdeci">virtual void schedule(ICPPKernel *kernel, const Hints &hints)=0</div><div class="ttdoc">Runs the kernel in the same thread as the caller synchronously.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_scheduler_xhtml_a0d63ca713bab377aabcfb63c192b8429"><div class="ttname"><a href="classarm__compute_1_1_scheduler.xhtml#a0d63ca713bab377aabcfb63c192b8429">arm_compute::Scheduler::get</a></div><div class="ttdeci">static IScheduler & get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_scheduler_8cpp_source.xhtml#l00096">Scheduler.cpp:96</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> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00328">ARM_COMPUTE_ERROR_ON_MSG</a>, <a class="el" href="_window_8h_source.xhtml#l00043">Window::DimX</a>, <a class="el" href="_scheduler_8cpp_source.xhtml#l00096">Scheduler::get()</a>, and <a class="el" href="classarm__compute_1_1_i_scheduler.xhtml#a4e58f95544bd5ac6559a421671bd9842">IScheduler::schedule()</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/runtime/NEON/functions/<a class="el" href="_n_e_optical_flow_8h_source.xhtml">NEOpticalFlow.h</a></li> |
| <li>src/runtime/NEON/functions/<a class="el" href="_n_e_optical_flow_8cpp_source.xhtml">NEOpticalFlow.cpp</a></li> |
| </ul> |
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