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| <a href="#pub-methods">Public Member Functions</a> | |
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| <div class="title">CPPNonMaximumSuppressionKernel Class Reference</div> </div> |
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| |
| <p>CPP Function to perform non maximum suppression on the bounding boxes and scores. |
| <a href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_c_p_p_non_maximum_suppression_kernel_8h_source.xhtml">CPPNonMaximumSuppressionKernel.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for CPPNonMaximumSuppressionKernel:</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:ab5656bb5b6334bdbe6e606c715872828"><td class="memItemLeft" align="right" valign="top">const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a> () const override</td></tr> |
| <tr class="memdesc:ab5656bb5b6334bdbe6e606c715872828"><td class="mdescLeft"> </td><td class="mdescRight">Name of the kernel. <a href="#ab5656bb5b6334bdbe6e606c715872828">More...</a><br /></td></tr> |
| <tr class="separator:ab5656bb5b6334bdbe6e606c715872828"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6909c14ba58ee3b1224a4e48ff8b6d26"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a6909c14ba58ee3b1224a4e48ff8b6d26">CPPNonMaximumSuppressionKernel</a> ()</td></tr> |
| <tr class="memdesc:a6909c14ba58ee3b1224a4e48ff8b6d26"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#a6909c14ba58ee3b1224a4e48ff8b6d26">More...</a><br /></td></tr> |
| <tr class="separator:a6909c14ba58ee3b1224a4e48ff8b6d26"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8d9505065511c543c3253dea94e3c87d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a8d9505065511c543c3253dea94e3c87d">CPPNonMaximumSuppressionKernel</a> (const <a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:a8d9505065511c543c3253dea94e3c87d"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a8d9505065511c543c3253dea94e3c87d">More...</a><br /></td></tr> |
| <tr class="separator:a8d9505065511c543c3253dea94e3c87d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9c96fecd06dd2165b660df15b611dfdb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a9c96fecd06dd2165b660df15b611dfdb">operator=</a> (const <a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> &)=delete</td></tr> |
| <tr class="memdesc:a9c96fecd06dd2165b660df15b611dfdb"><td class="mdescLeft"> </td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a9c96fecd06dd2165b660df15b611dfdb">More...</a><br /></td></tr> |
| <tr class="separator:a9c96fecd06dd2165b660df15b611dfdb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a78397b649edc5c8e019757d0b28d34e2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a78397b649edc5c8e019757d0b28d34e2">CPPNonMaximumSuppressionKernel</a> (<a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:a78397b649edc5c8e019757d0b28d34e2"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a78397b649edc5c8e019757d0b28d34e2">More...</a><br /></td></tr> |
| <tr class="separator:a78397b649edc5c8e019757d0b28d34e2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a649c27317d9718eeec1a9e570897ed65"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a649c27317d9718eeec1a9e570897ed65">operator=</a> (<a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> &&)=default</td></tr> |
| <tr class="memdesc:a649c27317d9718eeec1a9e570897ed65"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a649c27317d9718eeec1a9e570897ed65">More...</a><br /></td></tr> |
| <tr class="separator:a649c27317d9718eeec1a9e570897ed65"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5cc7d26dd5db03eb9ee2dd3f7f0926a9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a5cc7d26dd5db03eb9ee2dd3f7f0926a9">~CPPNonMaximumSuppressionKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a5cc7d26dd5db03eb9ee2dd3f7f0926a9"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="#a5cc7d26dd5db03eb9ee2dd3f7f0926a9">More...</a><br /></td></tr> |
| <tr class="separator:a5cc7d26dd5db03eb9ee2dd3f7f0926a9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af2dead192567394cffd758ef6dce64c9"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#af2dead192567394cffd758ef6dce64c9">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input_bboxes, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input_scores, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output_indices, unsigned int max_output_size, const float score_threshold, const float iou_threshold)</td></tr> |
| <tr class="memdesc:af2dead192567394cffd758ef6dce64c9"><td class="mdescLeft"> </td><td class="mdescRight">Configure the kernel to perform non maximal suppression. <a href="#af2dead192567394cffd758ef6dce64c9">More...</a><br /></td></tr> |
| <tr class="separator:af2dead192567394cffd758ef6dce64c9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a112b35dd205c62ea6ed1447ef226da82"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &info) override</td></tr> |
| <tr class="memdesc:a112b35dd205c62ea6ed1447ef226da82"><td class="mdescLeft"> </td><td class="mdescRight">Execute the kernel on the passed window. <a href="#a112b35dd205c62ea6ed1447ef226da82">More...</a><br /></td></tr> |
| <tr class="separator:a112b35dd205c62ea6ed1447ef226da82"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_p_p_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">ICPPKernel</a></td></tr> |
| <tr class="memitem:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">~ICPPKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">More...</a><br /></td></tr> |
| <tr class="separator:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr> |
| <tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr> |
| <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr> |
| <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr> |
| <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">is_parallelisable</a> () const</td></tr> |
| <tr class="memdesc:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Indicates whether or not the kernel is parallelisable. <a href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">More...</a><br /></td></tr> |
| <tr class="separator:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">border_size</a> () const</td></tr> |
| <tr class="memdesc:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The size of the border for that kernel. <a href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">More...</a><br /></td></tr> |
| <tr class="separator:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a> () const</td></tr> |
| <tr class="memdesc:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The maximum window the kernel can be executed on. <a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">More...</a><br /></td></tr> |
| <tr class="separator:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a> |
| Static Public Member Functions</h2></td></tr> |
| <tr class="memitem:a0848a2a60607f0bcf7924934559bea10"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml#a0848a2a60607f0bcf7924934559bea10">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input_bboxes, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input_scores, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output_indices, unsigned int max_output_size, const float score_threshold, const float iou_threshold)</td></tr> |
| <tr class="memdesc:a0848a2a60607f0bcf7924934559bea10"><td class="mdescLeft"> </td><td class="mdescRight">Static function to check if given arguments will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a>. <a href="#a0848a2a60607f0bcf7924934559bea10">More...</a><br /></td></tr> |
| <tr class="separator:a0848a2a60607f0bcf7924934559bea10"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>CPP Function to perform non maximum suppression on the bounding boxes and scores. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8h_source.xhtml#l00038">38</a> of file <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8h_source.xhtml">CPPNonMaximumSuppressionKernel.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a6909c14ba58ee3b1224a4e48ff8b6d26"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6909c14ba58ee3b1224a4e48ff8b6d26">◆ </a></span>CPPNonMaximumSuppressionKernel() <span class="overload">[1/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> </td> |
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| <td class="paramname"></td><td>)</td> |
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| <p>Default constructor. </p> |
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| <p class="definition">Definition at line <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8cpp_source.xhtml#l00056">56</a> of file <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8cpp_source.xhtml">CPPNonMaximumSuppressionKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  : _input_bboxes(<span class="keyword">nullptr</span>), _input_scores(<span class="keyword">nullptr</span>), _output_indices(<span class="keyword">nullptr</span>), _max_output_size(0), _score_threshold(0.f), _iou_threshold(0.f), _num_boxes(0), _scores_above_thd_vector(),</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  _indices_above_thd_vector(), _visited(), _sorted_indices()</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> }</div></div><!-- fragment --> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a8d9505065511c543c3253dea94e3c87d">◆ </a></span>CPPNonMaximumSuppressionKernel() <span class="overload">[2/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> & </td> |
| <td class="paramname"></td><td>)</td> |
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| <p>Prevent instances of this class from being copied (As this class contains pointers) </p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a78397b649edc5c8e019757d0b28d34e2">◆ </a></span>CPPNonMaximumSuppressionKernel() <span class="overload">[3/3]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> && </td> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a5cc7d26dd5db03eb9ee2dd3f7f0926a9">◆ </a></span>~CPPNonMaximumSuppressionKernel()</h2> |
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| <td class="memname">~<a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
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| <p>Default destructor. </p> |
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| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="af2dead192567394cffd758ef6dce64c9"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af2dead192567394cffd758ef6dce64c9">◆ </a></span>configure()</h2> |
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| <td class="memname">void configure </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>input_bboxes</em>, </td> |
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| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>input_scores</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>output_indices</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>max_output_size</em>, </td> |
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| <td class="paramtype">const float </td> |
| <td class="paramname"><em>score_threshold</em>, </td> |
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| <td class="paramtype">const float </td> |
| <td class="paramname"><em>iou_threshold</em> </td> |
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| <p>Configure the kernel to perform non maximal suppression. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_bboxes</td><td>The input bounding boxes. Data types supported: F32. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_scores</td><td>The corresponding input confidence. Same as <code>input_bboxes</code>. </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output_indices</td><td>The kept indices of bboxes after nms. Data types supported: S32. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">max_output_size</td><td>An integer tensor representing the maximum number of boxes to be selected by non max suppression. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">score_threshold</td><td>The threshold used to filter detection results. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">iou_threshold</td><td>The threshold used in non maximum suppression. </td></tr> |
| </table> |
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| <p class="definition">Definition at line <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8cpp_source.xhtml#l00062">62</a> of file <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8cpp_source.xhtml">CPPNonMaximumSuppressionKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input_bboxes, input_scores, output_indices);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(input_bboxes->info(), input_scores->info(), output_indices->info(), max_output_size, score_threshold, iou_threshold));</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="namespacearm__compute.xhtml#a47be6fa38308d0003c25b60b7dbc45ce">auto_init_if_empty</a>(*output_indices->info(), TensorShape(max_output_size), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>, QuantizationInfo());</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  _input_bboxes = input_bboxes;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  _input_scores = input_scores;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  _output_indices = output_indices;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  _score_threshold = score_threshold;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  _iou_threshold = iou_threshold;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  _max_output_size = max_output_size;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  _num_boxes = input_scores->info()->dimension(0);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  _scores_above_thd_vector.reserve(_num_boxes);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  _indices_above_thd_vector.reserve(_num_boxes);</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>  <span class="comment">// Visited and sorted_indices are preallocated as num_boxes size, which is the maximum size possible</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Will be used only N elements where N is the number of score above the threshold</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  _visited.reserve(_num_boxes);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  _sorted_indices.reserve(_num_boxes);</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>  <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  Window win = <a class="code" href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">calculate_max_window</a>(*output_indices->info(), Steps());</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="comment">// The CPPNonMaximumSuppressionKernel doesn't need padding so update_window_and_padding() can be skipped</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  ICPPKernel::configure(win);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel</div></div> |
| <div class="ttc" id="_error_8h_xhtml_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00327">Error.h:327</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab7980fa5ee693e3282a76da047a1c3b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">arm_compute::calculate_max_window</a></div><div class="ttdeci">Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_helpers_8cpp_source.xhtml#l00028">Helpers.cpp:28</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a47be6fa38308d0003c25b60b7dbc45ce"><div class="ttname"><a href="namespacearm__compute.xhtml#a47be6fa38308d0003c25b60b7dbc45ce">arm_compute::auto_init_if_empty</a></div><div class="ttdeci">bool auto_init_if_empty(ITensorInfo &info, const TensorShape &shape, int num_channels, DataType data_type, QuantizationInfo quantization_info=QuantizationInfo())</div><div class="ttdoc">Auto initialize the tensor info (shape, number of channels and data type) if the current assignment i...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00201">Helpers.inl:201</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a921b705e9e3e0fe928928447869e62a5"><div class="ttname"><a href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00161">Validate.h:161</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00327">ARM_COMPUTE_ERROR_THROW_ON</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00201">arm_compute::auto_init_if_empty()</a>, <a class="el" href="src_2core_2_helpers_8cpp_source.xhtml#l00028">arm_compute::calculate_max_window()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo::dimension()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, and <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#ab5656bb5b6334bdbe6e606c715872828">◆ </a></span>name()</h2> |
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| <p>Name of the kernel. </p> |
| <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class.">Kernel</a> name </dd></dl> |
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| <p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">ICPPKernel</a>.</p> |
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| <p class="definition">Definition at line <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8h_source.xhtml#l00041">41</a> of file <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8h_source.xhtml">CPPNonMaximumSuppressionKernel.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">return</span> <span class="stringliteral">"CPPNonMaximumSuppressionKernel"</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  }</div></div><!-- fragment --> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a9c96fecd06dd2165b660df15b611dfdb">◆ </a></span>operator=() <span class="overload">[1/2]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> & </td> |
| <td class="paramname"></td><td>)</td> |
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| <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> |
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| <a id="a649c27317d9718eeec1a9e570897ed65"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a649c27317d9718eeec1a9e570897ed65">◆ </a></span>operator=() <span class="overload">[2/2]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a> && </td> |
| <td class="paramname"></td><td>)</td> |
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| <p>Allow instances of this class to be moved. </p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a112b35dd205c62ea6ed1447ef226da82">◆ </a></span>run()</h2> |
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| <td class="memname">void run </td> |
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| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td> |
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| <td class="paramname"><em>info</em> </td> |
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| <td>)</td> |
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| |
| <p>Execute the kernel on the passed window. </p> |
| <dl class="section warning"><dt>Warning</dt><dd>If <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b" title="Indicates whether or not the kernel is parallelisable.">is_parallelisable()</a> returns false then the passed window must be equal to <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a></dd></dl> |
| <dl class="section note"><dt>Note</dt><dd>The window has to be a region within the window returned by the <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a> method</dd> |
| <dd> |
| The width of the window has to be a multiple of num_elems_processed_per_iteration().</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a>) </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Info about executing thread and CPU. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">ICPPKernel</a>.</p> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8cpp_source.xhtml#l00102">102</a> of file <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8cpp_source.xhtml">CPPNonMaximumSuppressionKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">ICPPKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_above_thd = 0;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < _num_boxes; ++i)</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> score_i = *(reinterpret_cast<float *>(_input_scores-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(i))));</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">if</span>(score_i >= _score_threshold)</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  _indices_above_thd_vector.emplace_back(i);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  _scores_above_thd_vector.emplace_back(score_i);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="comment">// Initialize respective index and visited</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  _sorted_indices.emplace_back(num_above_thd);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  _visited.push_back(<span class="keyword">false</span>);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  ++num_above_thd;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  }</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="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// Sort selected indices based on scores</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  std::sort(_sorted_indices.begin(),</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  _sorted_indices.end(),</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  [&](<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> first, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> second)</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>  <span class="keywordflow">return</span> _scores_above_thd_vector[first] > _scores_above_thd_vector[second];</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> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="comment">// Number of output is the minimum between max_detection and the scores above the threshold</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_output = std::min(_max_output_size, num_above_thd);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> output_idx = 0;</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="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < num_above_thd; ++i)</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  {</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// Check if the output is full</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">if</span>(output_idx >= num_output)</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// Check if it was already visited, if not add it to the output and update the indices counter</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">if</span>(!_visited[_sorted_indices[i]])</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  *(reinterpret_cast<int *>(_output_indices-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(output_idx)))) = _indices_above_thd_vector[_sorted_indices[i]];</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  ++output_idx;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">continue</span>;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  }</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// Once added one element at the output check if the next ones overlap and can be skipped</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = i + 1; j < num_above_thd; ++j)</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">if</span>(!_visited[_sorted_indices[j]])</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  {</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="comment">// Calculate IoU</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i_index = _indices_above_thd_vector[_sorted_indices[i]];</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j_index = _indices_above_thd_vector[_sorted_indices[j]];</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// Box-corner format: xmin, ymin, xmax, ymax</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">const</span> <span class="keyword">auto</span> box_i_xmin = *(reinterpret_cast<float *>(_input_bboxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(0, i_index))));</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">const</span> <span class="keyword">auto</span> box_i_ymin = *(reinterpret_cast<float *>(_input_bboxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(1, i_index))));</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">const</span> <span class="keyword">auto</span> box_i_xmax = *(reinterpret_cast<float *>(_input_bboxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(2, i_index))));</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">const</span> <span class="keyword">auto</span> box_i_ymax = *(reinterpret_cast<float *>(_input_bboxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(3, i_index))));</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keyword">const</span> <span class="keyword">auto</span> box_j_xmin = *(reinterpret_cast<float *>(_input_bboxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(0, j_index))));</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keyword">const</span> <span class="keyword">auto</span> box_j_ymin = *(reinterpret_cast<float *>(_input_bboxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(1, j_index))));</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">const</span> <span class="keyword">auto</span> box_j_xmax = *(reinterpret_cast<float *>(_input_bboxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(2, j_index))));</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">const</span> <span class="keyword">auto</span> box_j_ymax = *(reinterpret_cast<float *>(_input_bboxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(3, j_index))));</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> area_i = (box_i_xmax - box_i_xmin) * (box_i_ymax - box_i_ymin);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> area_j = (box_j_xmax - box_j_xmin) * (box_j_ymax - box_j_ymin);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordtype">float</span> overlap;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">if</span>(area_i <= 0 || area_j <= 0)</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  overlap = 0.0f;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  }</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keyword">const</span> <span class="keyword">auto</span> y_min_intersection = std::max<float>(box_i_ymin, box_j_ymin);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keyword">const</span> <span class="keyword">auto</span> x_min_intersection = std::max<float>(box_i_xmin, box_j_xmin);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> <span class="keyword">auto</span> y_max_intersection = std::min<float>(box_i_ymax, box_j_ymax);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">const</span> <span class="keyword">auto</span> x_max_intersection = std::min<float>(box_i_xmax, box_j_xmax);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">const</span> <span class="keyword">auto</span> area_intersection = std::max<float>(y_max_intersection - y_min_intersection, 0.0f) * std::max<float>(x_max_intersection - x_min_intersection, 0.0f);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  overlap = area_intersection / (area_i + area_j - area_intersection);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  }</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">if</span>(overlap > _iou_threshold)</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  _visited[_sorted_indices[j]] = <span class="keyword">true</span>;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  }</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  }</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  }</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="comment">// The output could be full but not the output indices tensor</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="comment">// Instead return values not valid we put -1</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">for</span>(; output_idx < _max_output_size; ++output_idx)</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  *(reinterpret_cast<int *>(_output_indices-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">ptr_to_element</a>(Coordinates(output_idx)))) = -1;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  }</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> }</div><div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window & window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_adbd73147d41e8a640bc299d12613c31e"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#adbd73147d41e8a640bc299d12613c31e">arm_compute::ITensor::ptr_to_element</a></div><div class="ttdeci">uint8_t * ptr_to_element(const Coordinates &id) const</div><div class="ttdoc">Return a pointer to the element at the passed coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00063">ITensor.h:63</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00160">Error.h:160</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a6eb9ce82815fe429250189da7592ba75"><div class="ttname"><a href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00205">Validate.h:205</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a1b35b0d258183cf9ef36adf684d0b88c"><div class="ttname"><a href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00940">Validate.h:940</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_validate_8h_source.xhtml#l00205">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>, <a class="el" href="_validate_8h_source.xhtml#l00940">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="_error_8h_source.xhtml#l00160">ARM_COMPUTE_UNUSED</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::info</a>, <a class="el" href="_i_tensor_8h_source.xhtml#l00063">ITensor::ptr_to_element()</a>, and <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a0848a2a60607f0bcf7924934559bea10">◆ </a></span>validate()</h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>input_bboxes</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>input_scores</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> * </td> |
| <td class="paramname"><em>output_indices</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>max_output_size</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float </td> |
| <td class="paramname"><em>score_threshold</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float </td> |
| <td class="paramname"><em>iou_threshold</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">static</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Static function to check if given arguments will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_c_p_p_non_maximum_suppression_kernel.xhtml">CPPNonMaximumSuppressionKernel</a>. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_bboxes</td><td>The input bounding boxes tensor info. Data types supported: F32. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_scores</td><td>The corresponding input confidence tensor info. Same as <code>input_bboxes</code>. </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output_indices</td><td>The kept indices of bboxes after nms tensor info. Data types supported: S32. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">max_output_size</td><td>An integer tensor representing the maximum number of boxes to be selected by non max suppression. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">score_threshold</td><td>The threshold used to filter detection results. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">iou_threshold</td><td>The threshold used in non maximum suppression. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8cpp_source.xhtml#l00094">94</a> of file <a class="el" href="_c_p_p_non_maximum_suppression_kernel_8cpp_source.xhtml">CPPNonMaximumSuppressionKernel.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(bboxes, scores, output_indices, max_output_size, score_threshold, iou_threshold));</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> }</div><div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00193">Error.h:193</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00193">ARM_COMPUTE_RETURN_ON_ERROR</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_p_p_non_maximum_suppression_8cpp_source.xhtml#l00040">CPPNonMaximumSuppression::validate()</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>arm_compute/core/CPP/kernels/<a class="el" href="_c_p_p_non_maximum_suppression_kernel_8h_source.xhtml">CPPNonMaximumSuppressionKernel.h</a></li> |
| <li>src/core/CPP/kernels/<a class="el" href="_c_p_p_non_maximum_suppression_kernel_8cpp_source.xhtml">CPPNonMaximumSuppressionKernel.cpp</a></li> |
| </ul> |
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| <li class="footer">Generated on Mon Sep 2 2019 11:47:35 for Compute Library by |
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