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<div class="title">TfLiteYoloV3Big-Armnn.cpp File Reference</div> </div>
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<div class="textblock"><code>#include "<a class="el" href="_i_tf_lite_parser_8hpp_source.xhtml">armnnTfLiteParser/ITfLiteParser.hpp</a>"</code><br />
<code>#include "<a class="el" href="_n_m_s_8hpp_source.xhtml">NMS.hpp</a>"</code><br />
<code>#include <stb/stb_image.h></code><br />
<code>#include <<a class="el" href="_i_network_8hpp_source.xhtml">armnn/INetwork.hpp</a>></code><br />
<code>#include <<a class="el" href="_i_runtime_8hpp_source.xhtml">armnn/IRuntime.hpp</a>></code><br />
<code>#include <<a class="el" href="_logging_8hpp_source.xhtml">armnn/Logging.hpp</a>></code><br />
<code>#include <<a class="el" href="_ignore_unused_8hpp_source.xhtml">armnn/utility/IgnoreUnused.hpp</a>></code><br />
<code>#include <cxxopts/cxxopts.hpp></code><br />
<code>#include <ghc/filesystem.hpp></code><br />
<code>#include <chrono></code><br />
<code>#include <fstream></code><br />
<code>#include <iostream></code><br />
<code>#include <stdlib.h></code><br />
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<p><a href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml">Go to the source code of this file.</a></p>
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Macros</h2></td></tr>
<tr class="memitem:a7013f680e1a8d40e50dc330d57d0ec9a"><td class="memItemLeft" align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a7013f680e1a8d40e50dc330d57d0ec9a">CHECK_OK</a>(v)</td></tr>
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Functions</h2></td></tr>
<tr class="memitem:aa5b4bf99dead35f1ed10ec2da962b5f8"><td class="memTemplParams" colspan="2">template<typename TContainer > </td></tr>
<tr class="memitem:aa5b4bf99dead35f1ed10ec2da962b5f8"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#aa5b4bf99dead35f1ed10ec2da962b5f8">MakeInputTensors</a> (const std::vector< <a class="el" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> > &inputBindings, const std::vector< std::reference_wrapper< <a class="el" href="namespacearmnn.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> >> &inputDataContainers)</td></tr>
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<tr class="memitem:a47e2cf3b998bc6a55711799ac97d6eee"><td class="memTemplParams" colspan="2">template<typename TContainer > </td></tr>
<tr class="memitem:a47e2cf3b998bc6a55711799ac97d6eee"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a47e2cf3b998bc6a55711799ac97d6eee">MakeOutputTensors</a> (const std::vector< <a class="el" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> > &outputBindings, const std::vector< std::reference_wrapper< <a class="el" href="namespacearmnn.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> >> &outputDataContainers)</td></tr>
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<tr class="memitem:a3e1be730de6803e4e4a79f5d0c767a9e"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a3e1be730de6803e4e4a79f5d0c767a9e">LoadModel</a> (const char *filename, <a class="el" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml">ITfLiteParser</a> &parser, <a class="el" href="classarmnn_1_1_i_runtime.xhtml">IRuntime</a> &runtime, <a class="el" href="namespacearmnn.xhtml#a83015160d8c67d5d77735eb0d4033d9a">NetworkId</a> &networkId, const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> > &backendPreferences, bool enableImport=<a class="el" href="_ref_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a>)</td></tr>
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<tr class="memitem:a3354c1d773cc613c36ef27209fac8a4d"><td class="memItemLeft" align="right" valign="top">std::vector< float > </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a3354c1d773cc613c36ef27209fac8a4d">LoadImage</a> (const char *filename)</td></tr>
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<tr class="memitem:a4924460665124a1acb27f89f6d46c70f"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a4924460665124a1acb27f89f6d46c70f">ValidateFilePath</a> (std::string &file)</td></tr>
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<tr class="memitem:acde339995fb755d7ac7341ffa28f32b4"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#acde339995fb755d7ac7341ffa28f32b4">CheckAccuracy</a> (std::vector< float > *toDetector0, std::vector< float > *toDetector1, std::vector< float > *toDetector2, std::vector< float > *detectorOutput, const std::vector< <a class="el" href="structyolov3_1_1_detection.xhtml">yolov3::Detection</a> > &nmsOut, const std::vector< std::string > &filePaths)</td></tr>
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<tr class="memitem:a0ddf1224851353fc92bfbff6f499fa97"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97">main</a> (int argc, char *argv[])</td></tr>
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<h2 class="groupheader">Macro Definition Documentation</h2>
<a id="a7013f680e1a8d40e50dc330d57d0ec9a"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a7013f680e1a8d40e50dc330d57d0ec9a">◆ </a></span>CHECK_OK</h2>
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<td class="memname">#define CHECK_OK</td>
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<td class="paramtype"> </td>
<td class="paramname">v</td><td>)</td>
<td></td>
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</div><div class="memdoc">
<b>Value:</b><div class="fragment"><div class="line"><span class="keywordflow">do</span> { \</div><div class="line"> try { \</div><div class="line"> auto r_local = v; \</div><div class="line"> if (r_local != 0) { <span class="keywordflow">return</span> r_local;} \</div><div class="line"> } \</div><div class="line"> catch (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>& e) \</div><div class="line"> { \</div><div class="line"> ARMNN_LOG(error) << <span class="stringliteral">"Oops: "</span> << e.what(); \</div><div class="line"> return GENERAL_ERROR; \</div><div class="line"> } \</div><div class="line"> } <span class="keywordflow">while</span>(0)</div><div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00046">Exceptions.hpp:46</a></div></div>
</div><!-- fragment -->
<p class="definition">Definition at line <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00034">34</a> of file <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml">TfLiteYoloV3Big-Armnn.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00430">main()</a>.</p>
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<h2 class="groupheader">Function Documentation</h2>
<a id="acde339995fb755d7ac7341ffa28f32b4"></a>
<h2 class="memtitle"><span class="permalink"><a href="#acde339995fb755d7ac7341ffa28f32b4">◆ </a></span>CheckAccuracy()</h2>
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<td class="memname">void CheckAccuracy </td>
<td>(</td>
<td class="paramtype">std::vector< float > * </td>
<td class="paramname"><em>toDetector0</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::vector< float > * </td>
<td class="paramname"><em>toDetector1</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::vector< float > * </td>
<td class="paramname"><em>toDetector2</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::vector< float > * </td>
<td class="paramname"><em>detectorOutput</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::vector< <a class="el" href="structyolov3_1_1_detection.xhtml">yolov3::Detection</a> > & </td>
<td class="paramname"><em>nmsOut</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::vector< std::string > & </td>
<td class="paramname"><em>filePaths</em> </td>
</tr>
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<td></td>
<td>)</td>
<td></td><td></td>
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</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00203">203</a> of file <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml">TfLiteYoloV3Big-Armnn.cpp</a>.</p>
<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00163">ARMNN_LOG</a>, <a class="el" href="_n_m_s_8cpp_source.xhtml#l00084">yolov3::compare_detection()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::error</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, and <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00188">ValidateFilePath()</a>.</p>
<div class="fragment"><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> {</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  std::ifstream pathStream;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  std::vector<float> expected;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  std::vector<std::vector<float>*> outputs;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordtype">float</span> compare = 0;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 0;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">//Push back output vectors from inference for use in loop</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  outputs.push_back(toDetector0);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  outputs.push_back(toDetector1);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  outputs.push_back(toDetector2);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  outputs.push_back(detectorOutput);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputs.size(); ++i)</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  {</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="comment">// Reading expected output files and assigning them to @expected. Close and Clear to reuse stream and clean RAM</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  pathStream.open(filePaths[i]);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">if</span> (!pathStream.is_open())</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  {</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) << <span class="stringliteral">"Expected output file can not be opened: "</span> << filePaths[i];</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">continue</span>;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  }</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  expected.assign(std::istream_iterator<float>(pathStream), {});</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  pathStream.close();</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  pathStream.clear();</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="comment">// Ensure each vector is the same length</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">if</span> (expected.size() != outputs[i]->size())</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) << <span class="stringliteral">"Expected output size does not match actual output size: "</span> << filePaths[i];</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  count = 0;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="comment">// Compare abs(difference) with tolerance to check for value by value equality</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0; j < outputs[i]->size(); ++j)</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  {</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  compare = <a class="code" href="structarmnn_1_1abs.xhtml">abs</a>(expected[j] - outputs[i]->at(j));</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">if</span> (compare > 0.001f)</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  {</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  count++;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  }</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  }</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">if</span> (count > 0)</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) << count << <span class="stringliteral">" output(s) do not match expected values in: "</span> << filePaths[i];</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  }</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  }</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  pathStream.open(filePaths[4]);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">if</span> (!pathStream.is_open())</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  {</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) << <span class="stringliteral">"Expected output file can not be opened: "</span> << filePaths[4];</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  expected.assign(std::istream_iterator<float>(pathStream), {});</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  pathStream.close();</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  pathStream.clear();</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> y = 0;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOfMember = 6;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  std::vector<float> intermediate;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& detection: nmsOut)</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  {</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> x = y * numOfMember; x < ((y * numOfMember) + numOfMember); ++x)</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  {</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  intermediate.push_back(expected[x]);</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  }</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespaceyolov3.xhtml#a81be14d2d01feb34d4d9a84f52121ea6">yolov3::compare_detection</a>(detection, intermediate))</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  {</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) << <span class="stringliteral">"Expected NMS output does not match: Detection "</span> << y + 1;</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  intermediate.clear();</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  y++;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> }</div><div class="ttc" id="structarmnn_1_1abs_xhtml"><div class="ttname"><a href="structarmnn_1_1abs.xhtml">armnn::abs</a></div><div class="ttdef"><b>Definition:</b> <a href="_abs_8hpp_source.xhtml#l00013">Abs.hpp:13</a></div></div>
<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00163">Logging.hpp:163</a></div></div>
<div class="ttc" id="namespaceyolov3_xhtml_a81be14d2d01feb34d4d9a84f52121ea6"><div class="ttname"><a href="namespaceyolov3.xhtml#a81be14d2d01feb34d4d9a84f52121ea6">yolov3::compare_detection</a></div><div class="ttdeci">bool compare_detection(const yolov3::Detection &detection, const std::vector< float > &expected)</div><div class="ttdoc">Compare a detection object with a vector of float values. </div><div class="ttdef"><b>Definition:</b> <a href="_n_m_s_8cpp_source.xhtml#l00084">NMS.cpp:84</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a3354c1d773cc613c36ef27209fac8a4d">◆ </a></span>LoadImage()</h2>
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<td class="memname">std::vector<float> LoadImage </td>
<td>(</td>
<td class="paramtype">const char * </td>
<td class="paramname"><em>filename</em></td><td>)</td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00146">146</a> of file <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml">TfLiteYoloV3Big-Armnn.cpp</a>.</p>
<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00163">ARMNN_LOG</a>, and <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::error</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00430">main()</a>.</p>
<div class="fragment"><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">struct </span>Memory</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>  ~Memory() {stbi_image_free(m_Data);}</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordtype">bool</span> IsLoaded()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_Data != <span class="keyword">nullptr</span>;}</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span>* m_Data;</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> </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  std::vector<float> image;</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="keywordtype">int</span> width;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">int</span> height;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">int</span> channels;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  Memory mem = {stbi_load(filename, &width, &height, &channels, 3)};</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">if</span> (!mem.IsLoaded())</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) << <span class="stringliteral">"Could not load input image file: "</span> << filename;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">return</span> image;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  }</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="keywordflow">if</span> (width != 1920 || height != 1080 || channels != 3)</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  {</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) << <span class="stringliteral">"Input image has wong dimension: "</span> << width << <span class="stringliteral">"x"</span> << height << <span class="stringliteral">"x"</span> << channels << <span class="stringliteral">". "</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="stringliteral">" Expected 1920x1080x3."</span>;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">return</span> image;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  }</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  image.resize(1920*1080*3);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="comment">// Expand to float. Does this need de-gamma?</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx=0; idx <= 1920*1080*3; idx++)</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>  image[idx] = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(mem.m_Data[idx]) /255.0f;</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> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">return</span> image;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> }</div><div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00163">Logging.hpp:163</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a3e1be730de6803e4e4a79f5d0c767a9e">◆ </a></span>LoadModel()</h2>
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<td class="memname">int LoadModel </td>
<td>(</td>
<td class="paramtype">const char * </td>
<td class="paramname"><em>filename</em>, </td>
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<td class="paramtype"><a class="el" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml">ITfLiteParser</a> & </td>
<td class="paramname"><em>parser</em>, </td>
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<td class="paramtype"><a class="el" href="classarmnn_1_1_i_runtime.xhtml">IRuntime</a> & </td>
<td class="paramname"><em>runtime</em>, </td>
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<td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a83015160d8c67d5d77735eb0d4033d9a">NetworkId</a> & </td>
<td class="paramname"><em>networkId</em>, </td>
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<td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> > & </td>
<td class="paramname"><em>backendPreferences</em>, </td>
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<td class="paramtype">bool </td>
<td class="paramname"><em>enableImport</em> = <code><a class="el" href="_ref_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a></code> </td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00100">100</a> of file <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml">TfLiteYoloV3Big-Armnn.cpp</a>.</p>
<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00163">ARMNN_LOG</a>, and <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::error</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00430">main()</a>.</p>
<div class="fragment"><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  std::ifstream stream(filename, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">if</span> (!stream.is_open())</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) << <span class="stringliteral">"Could not open model: "</span> << filename;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">return</span> OPEN_FILE_ERROR;</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> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  std::vector<uint8_t> contents((std::istreambuf_iterator<char>(stream)), std::istreambuf_iterator<char>());</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  stream.close();</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">auto</span> model = parser.<a class="code" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml#a7dd0134440a006226f95d547f0b3e89c">CreateNetworkFromBinary</a>(contents);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  contents.clear();</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(debug) << <span class="stringliteral">"Model loaded ok: "</span> << filename;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// Optimize backbone model</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="structarmnn_1_1_optimizer_options.xhtml">OptimizerOptions</a> options;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  options.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a05c1bba6ba3ecc1339d4c4c10c0d8890">m_ImportEnabled</a> = enableImport;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">auto</span> optimizedModel = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*model, backendPreferences, runtime.<a class="code" href="classarmnn_1_1_i_runtime.xhtml#a6f2ccbdacfac6eb983c519976a5ece54">GetDeviceSpec</a>(), options);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">if</span> (!optimizedModel)</div><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="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Could not optimize the model:"</span> << filename;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">return</span> OPTIMIZE_NETWORK_ERROR;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</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="comment">// Load model into runtime</span></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>  std::string errorMessage;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="structarmnn_1_1_i_network_properties.xhtml">INetworkProperties</a> modelProps(enableImport, enableImport);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> status = runtime.<a class="code" href="classarmnn_1_1_i_runtime.xhtml#acf44b518011359b594bf20fe444d1165">LoadNetwork</a>(networkId, std::move(optimizedModel), errorMessage, modelProps);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">if</span> (status != Status::Success)</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Could not load "</span> << filename << <span class="stringliteral">" model into runtime: "</span> << errorMessage;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> LOAD_NETWORK_ERROR;</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>  }</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>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</div><div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00163">Logging.hpp:163</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_a6f2ccbdacfac6eb983c519976a5ece54"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#a6f2ccbdacfac6eb983c519976a5ece54">armnn::IRuntime::GetDeviceSpec</a></div><div class="ttdeci">virtual const IDeviceSpec & GetDeviceSpec() const =0</div></div>
<div class="ttc" id="structarmnn_1_1_i_network_properties_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.xhtml">armnn::INetworkProperties</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00027">IRuntime.hpp:27</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptions &options=OptimizerOptions(), Optional< std::vector< std::string > &> messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01014">Network.cpp:1014</a></div></div>
<div class="ttc" id="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser_xhtml_a7dd0134440a006226f95d547f0b3e89c"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml#a7dd0134440a006226f95d547f0b3e89c">armnnTfLiteParser::ITfLiteParser::CreateNetworkFromBinary</a></div><div class="ttdeci">virtual armnn::INetworkPtr CreateNetworkFromBinary(const std::vector< uint8_t > &binaryContent)=0</div><div class="ttdoc">Create the network from a flatbuffers binary. </div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_acf44b518011359b594bf20fe444d1165"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#acf44b518011359b594bf20fe444d1165">armnn::IRuntime::LoadNetwork</a></div><div class="ttdeci">virtual Status LoadNetwork(NetworkId &networkIdOut, IOptimizedNetworkPtr network)=0</div><div class="ttdoc">Loads a complete network into the IRuntime. </div></div>
<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div>
<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml">armnn::OptimizerOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00609">INetwork.hpp:609</a></div></div>
<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a05c1bba6ba3ecc1339d4c4c10c0d8890"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a05c1bba6ba3ecc1339d4c4c10c0d8890">armnn::OptimizerOptions::m_ImportEnabled</a></div><div class="ttdeci">bool m_ImportEnabled</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00660">INetwork.hpp:660</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a0ddf1224851353fc92bfbff6f499fa97">◆ </a></span>main()</h2>
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<td class="memname">int main </td>
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<td class="paramname"><em>argv</em>[] </td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00430">430</a> of file <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml">TfLiteYoloV3Big-Armnn.cpp</a>.</p>
<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00163">ARMNN_LOG</a>, <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00034">CHECK_OK</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l03471">ITfLiteParser::Create()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407adf6402fd9ecc60f5a2159fdf45711cd4">armnn::fatal</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00146">LoadImage()</a>, <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00100">LoadModel()</a>, <a class="el" href="_logging_8cpp_source.xhtml#l00142">armnn::SetAllLoggingSinks()</a>, and <a class="el" href="_logging_8cpp_source.xhtml#l00024">armnn::SetLogFilter()</a>.</p>
<div class="fragment"><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> {</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="comment">// Configure logging</span></div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <a class="code" href="namespacearmnn.xhtml#a7f8325a4bc02f2f687ba1968b595ec0a">SetAllLoggingSinks</a>(<span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span>);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <a class="code" href="namespacearmnn.xhtml#ac9aad76a34137b6359a867b282ea7cfb">SetLogFilter</a>(LogSeverity::Trace);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="comment">// Check and get given program arguments</span></div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  ParseArgs progArgs = ParseArgs(argc, argv);</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> </div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="comment">// Create runtime</span></div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">IRuntime::CreationOptions</a> runtimeOptions; <span class="comment">// default</span></div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keyword">auto</span> runtime = IRuntime::Create(runtimeOptions);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keywordflow">if</span> (!runtime)</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  {</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Could not create runtime."</span>;</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  }</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> </div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="comment">// Create TfLite Parsers</span></div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <a class="code" href="structarmnn_tf_lite_parser_1_1_i_tf_lite_parser_1_1_tf_lite_parser_options.xhtml">ITfLiteParser::TfLiteParserOptions</a> parserOptions;</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keyword">auto</span> parser = ITfLiteParser::Create(parserOptions);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="comment">// Load backbone model</span></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Loading backbone..."</span>;</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="namespacearmnn.xhtml#a83015160d8c67d5d77735eb0d4033d9a">NetworkId</a> backboneId;</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a7013f680e1a8d40e50dc330d57d0ec9a">CHECK_OK</a>(<a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a3e1be730de6803e4e4a79f5d0c767a9e">LoadModel</a>(progArgs.backboneDir.c_str(), *parser, *runtime, backboneId, progArgs.prefBackendsBackbone));</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keyword">auto</span> inputId = parser->GetNetworkInputBindingInfo(0, <span class="stringliteral">"inputs"</span>);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keyword">auto</span> bbOut0Id = parser->GetNetworkOutputBindingInfo(0, <span class="stringliteral">"input_to_detector_1"</span>);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keyword">auto</span> bbOut1Id = parser->GetNetworkOutputBindingInfo(0, <span class="stringliteral">"input_to_detector_2"</span>);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keyword">auto</span> bbOut2Id = parser->GetNetworkOutputBindingInfo(0, <span class="stringliteral">"input_to_detector_3"</span>);</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keyword">auto</span> backboneProfile = runtime->GetProfiler(backboneId);</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  backboneProfile->EnableProfiling(<span class="keyword">true</span>);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> </div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="comment">// Load detector model</span></div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Loading detector..."</span>;</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <a class="code" href="namespacearmnn.xhtml#a83015160d8c67d5d77735eb0d4033d9a">NetworkId</a> detectorId;</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a7013f680e1a8d40e50dc330d57d0ec9a">CHECK_OK</a>(<a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a3e1be730de6803e4e4a79f5d0c767a9e">LoadModel</a>(</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  progArgs.detectorDir.c_str(), *parser, *runtime, detectorId, progArgs.prefBackendsDetector, <span class="keyword">true</span>));</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keyword">auto</span> detectIn0Id = parser->GetNetworkInputBindingInfo(0, <span class="stringliteral">"input_to_detector_1"</span>);</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keyword">auto</span> detectIn1Id = parser->GetNetworkInputBindingInfo(0, <span class="stringliteral">"input_to_detector_2"</span>);</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keyword">auto</span> detectIn2Id = parser->GetNetworkInputBindingInfo(0, <span class="stringliteral">"input_to_detector_3"</span>);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keyword">auto</span> outputBoxesId = parser->GetNetworkOutputBindingInfo(0, <span class="stringliteral">"output_boxes"</span>);</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keyword">auto</span> detectorProfile = runtime->GetProfiler(detectorId);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> </div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="comment">// Load input from file</span></div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Loading test image..."</span>;</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keyword">auto</span> image = <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a3354c1d773cc613c36ef27209fac8a4d">LoadImage</a>(progArgs.imageDir.c_str());</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">if</span> (image.empty())</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  {</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">return</span> LOAD_IMAGE_ERROR;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  }</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="comment">// Allocate the intermediate tensors</span></div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  std::vector<float> intermediateMem0(bbOut0Id.second.GetNumElements());</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  std::vector<float> intermediateMem1(bbOut1Id.second.GetNumElements());</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  std::vector<float> intermediateMem2(bbOut2Id.second.GetNumElements());</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  std::vector<float> intermediateMem3(outputBoxesId.second.GetNumElements());</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> </div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="comment">// Setup inputs and outputs</span></div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keyword">using</span> BindingInfos = std::vector<armnn::BindingPointInfo>;</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keyword">using</span> FloatTensors = std::vector<std::reference_wrapper<std::vector<float>>>;</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> </div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> bbInputTensors = <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#aa5b4bf99dead35f1ed10ec2da962b5f8">MakeInputTensors</a>(BindingInfos{ inputId },</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  FloatTensors{ image });</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> bbOutputTensors = <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a47e2cf3b998bc6a55711799ac97d6eee">MakeOutputTensors</a>(BindingInfos{ bbOut0Id, bbOut1Id, bbOut2Id },</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  FloatTensors{ intermediateMem0,</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  intermediateMem1,</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  intermediateMem2 });</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> detectInputTensors = <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#aa5b4bf99dead35f1ed10ec2da962b5f8">MakeInputTensors</a>(BindingInfos{ detectIn0Id,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  detectIn1Id,</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  detectIn2Id } ,</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  FloatTensors{ intermediateMem0,</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  intermediateMem1,</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  intermediateMem2 });</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> detectOutputTensors = <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a47e2cf3b998bc6a55711799ac97d6eee">MakeOutputTensors</a>(BindingInfos{ outputBoxesId },</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  FloatTensors{ intermediateMem3 });</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">int</span> numIterations=2;</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keyword">using</span> DurationUS = std::chrono::duration<double, std::micro>;</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  std::vector<DurationUS> nmsDurations(0);</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  std::vector<yolov3::Detection> filtered_boxes;</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  nmsDurations.reserve(numIterations);</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i=0; i < numIterations; i++)</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  {</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="comment">// Execute backbone</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Running backbone..."</span>;</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  runtime->EnqueueWorkload(backboneId, bbInputTensors, bbOutputTensors);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="comment">// Execute detector</span></div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Running detector..."</span>;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  runtime->EnqueueWorkload(detectorId, detectInputTensors, detectOutputTensors);</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> </div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="comment">// Execute NMS</span></div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Running nms..."</span>;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keyword">using</span> clock = std::chrono::steady_clock;</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keyword">auto</span> nmsStartTime = clock::now();</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <a class="code" href="structyolov3_1_1_n_m_s_config.xhtml">yolov3::NMSConfig</a> config;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  config.<a class="code" href="structyolov3_1_1_n_m_s_config.xhtml#a69e5cb89b98e22ca17e8a7d3d8aef10a">num_boxes</a> = 127800;</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  config.<a class="code" href="structyolov3_1_1_n_m_s_config.xhtml#ae82414d4f3be497637c3456351a19c03">num_classes</a> = 80;</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  config.<a class="code" href="structyolov3_1_1_n_m_s_config.xhtml#a4e90aada4569ce7e2b3e41649cfdc3f8">confidence_threshold</a> = 0.9f;</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  config.<a class="code" href="structyolov3_1_1_n_m_s_config.xhtml#a8f299d6494fbe8a199fed9344d10d99b">iou_threshold</a> = 0.5f;</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  filtered_boxes = <a class="code" href="namespaceyolov3.xhtml#a7cf18c5c3391effbaf3234792876cd52">yolov3::nms</a>(config, intermediateMem3);</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keyword">auto</span> nmsEndTime = clock::now();</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> </div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="comment">// Enable the profiling after the warm-up run</span></div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keywordflow">if</span> (i>0)</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  {</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <a class="code" href="namespaceyolov3.xhtml#a8151de4c14e5e853818753516cb87c26">print_detection</a>(std::cout, filtered_boxes);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> </div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keyword">const</span> <span class="keyword">auto</span> nmsDuration = DurationUS(nmsStartTime - nmsEndTime);</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  nmsDurations.push_back(nmsDuration);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  }</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  backboneProfile->EnableProfiling(<span class="keyword">true</span>);</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  detectorProfile->EnableProfiling(<span class="keyword">true</span>);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  }</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="comment">// Log timings to file</span></div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  std::ofstream backboneProfileStream(<span class="stringliteral">"backbone.json"</span>);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  backboneProfile->Print(backboneProfileStream);</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  backboneProfileStream.close();</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> </div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  std::ofstream detectorProfileStream(<span class="stringliteral">"detector.json"</span>);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  detectorProfile->Print(detectorProfileStream);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  detectorProfileStream.close();</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> </div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="comment">// Manually construct the json output</span></div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  std::ofstream nmsProfileStream(<span class="stringliteral">"nms.json"</span>);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  nmsProfileStream << <span class="stringliteral">"{"</span> << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  nmsProfileStream << R<span class="stringliteral">"( "NmsTimings": {)" << </span><span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  nmsProfileStream << R<span class="stringliteral">"( "raw": [)" << </span><span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keywordtype">bool</span> isFirst = <span class="keyword">true</span>;</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> duration : nmsDurations)</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  {</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordflow">if</span> (!isFirst)</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  {</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  nmsProfileStream << <span class="stringliteral">",\n"</span>;</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  }</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> </div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  nmsProfileStream << <span class="stringliteral">" "</span> << duration.count();</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  isFirst = <span class="keyword">false</span>;</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  nmsProfileStream << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  nmsProfileStream << R<span class="stringliteral">"( "units": "us")" << </span><span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  nmsProfileStream << <span class="stringliteral">" ]"</span> << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  nmsProfileStream << <span class="stringliteral">" }"</span> << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  nmsProfileStream << <span class="stringliteral">"}"</span> << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  nmsProfileStream.close();</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span> </div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#acde339995fb755d7ac7341ffa28f32b4">CheckAccuracy</a>(&intermediateMem0, &intermediateMem1,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  &intermediateMem2, &intermediateMem3,</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  filtered_boxes, progArgs.comparisonFiles);</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span> </div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Run completed"</span>;</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span> }</div><div class="ttc" id="_tf_lite_yolo_v3_big-_armnn_8cpp_xhtml_acde339995fb755d7ac7341ffa28f32b4"><div class="ttname"><a href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#acde339995fb755d7ac7341ffa28f32b4">CheckAccuracy</a></div><div class="ttdeci">void CheckAccuracy(std::vector< float > *toDetector0, std::vector< float > *toDetector1, std::vector< float > *toDetector2, std::vector< float > *detectorOutput, const std::vector< yolov3::Detection > &nmsOut, const std::vector< std::string > &filePaths)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00203">TfLiteYoloV3Big-Armnn.cpp:203</a></div></div>
<div class="ttc" id="structarmnn_tf_lite_parser_1_1_i_tf_lite_parser_1_1_tf_lite_parser_options_xhtml"><div class="ttname"><a href="structarmnn_tf_lite_parser_1_1_i_tf_lite_parser_1_1_tf_lite_parser_options.xhtml">armnnTfLiteParser::ITfLiteParser::TfLiteParserOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.xhtml#l00028">ITfLiteParser.hpp:28</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a7f8325a4bc02f2f687ba1968b595ec0a"><div class="ttname"><a href="namespacearmnn.xhtml#a7f8325a4bc02f2f687ba1968b595ec0a">armnn::SetAllLoggingSinks</a></div><div class="ttdeci">void SetAllLoggingSinks(bool standardOut, bool debugOut, bool coloured)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8cpp_source.xhtml#l00142">Logging.cpp:142</a></div></div>
<div class="ttc" id="_tf_lite_yolo_v3_big-_armnn_8cpp_xhtml_a3e1be730de6803e4e4a79f5d0c767a9e"><div class="ttname"><a href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a3e1be730de6803e4e4a79f5d0c767a9e">LoadModel</a></div><div class="ttdeci">int LoadModel(const char *filename, ITfLiteParser &parser, IRuntime &runtime, NetworkId &networkId, const std::vector< BackendId > &backendPreferences, bool enableImport=false)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00100">TfLiteYoloV3Big-Armnn.cpp:100</a></div></div>
<div class="ttc" id="_tf_lite_yolo_v3_big-_armnn_8cpp_xhtml_aa5b4bf99dead35f1ed10ec2da962b5f8"><div class="ttname"><a href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#aa5b4bf99dead35f1ed10ec2da962b5f8">MakeInputTensors</a></div><div class="ttdeci">armnn::InputTensors MakeInputTensors(const std::vector< armnn::BindingPointInfo > &inputBindings, const std::vector< std::reference_wrapper< TContainer >> &inputDataContainers)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00050">TfLiteYoloV3Big-Armnn.cpp:50</a></div></div>
<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00163">Logging.hpp:163</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00324">Tensor.hpp:324</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a83015160d8c67d5d77735eb0d4033d9a"><div class="ttname"><a href="namespacearmnn.xhtml#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00020">IRuntime.hpp:20</a></div></div>
<div class="ttc" id="structyolov3_1_1_n_m_s_config_xhtml_a69e5cb89b98e22ca17e8a7d3d8aef10a"><div class="ttname"><a href="structyolov3_1_1_n_m_s_config.xhtml#a69e5cb89b98e22ca17e8a7d3d8aef10a">yolov3::NMSConfig::num_boxes</a></div><div class="ttdeci">unsigned int num_boxes</div><div class="ttdoc">Number of detected boxes. </div><div class="ttdef"><b>Definition:</b> <a href="_n_m_s_8hpp_source.xhtml#l00015">NMS.hpp:15</a></div></div>
<div class="ttc" id="_tf_lite_yolo_v3_big-_armnn_8cpp_xhtml_a3354c1d773cc613c36ef27209fac8a4d"><div class="ttname"><a href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a3354c1d773cc613c36ef27209fac8a4d">LoadImage</a></div><div class="ttdeci">std::vector< float > LoadImage(const char *filename)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00146">TfLiteYoloV3Big-Armnn.cpp:146</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ac9aad76a34137b6359a867b282ea7cfb"><div class="ttname"><a href="namespacearmnn.xhtml#ac9aad76a34137b6359a867b282ea7cfb">armnn::SetLogFilter</a></div><div class="ttdeci">void SetLogFilter(LogSeverity level)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8cpp_source.xhtml#l00024">Logging.cpp:24</a></div></div>
<div class="ttc" id="namespaceyolov3_xhtml_a8151de4c14e5e853818753516cb87c26"><div class="ttname"><a href="namespaceyolov3.xhtml#a8151de4c14e5e853818753516cb87c26">yolov3::print_detection</a></div><div class="ttdeci">void print_detection(std::ostream &os, const std::vector< Detection > &detections)</div><div class="ttdoc">Print identified yolo detections. </div><div class="ttdef"><b>Definition:</b> <a href="_n_m_s_8cpp_source.xhtml#l00096">NMS.cpp:96</a></div></div>
<div class="ttc" id="_tf_lite_yolo_v3_big-_armnn_8cpp_xhtml_a7013f680e1a8d40e50dc330d57d0ec9a"><div class="ttname"><a href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a7013f680e1a8d40e50dc330d57d0ec9a">CHECK_OK</a></div><div class="ttdeci">#define CHECK_OK(v)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00034">TfLiteYoloV3Big-Armnn.cpp:34</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00325">Tensor.hpp:325</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00042">IRuntime.hpp:42</a></div></div>
<div class="ttc" id="structyolov3_1_1_n_m_s_config_xhtml_a8f299d6494fbe8a199fed9344d10d99b"><div class="ttname"><a href="structyolov3_1_1_n_m_s_config.xhtml#a8f299d6494fbe8a199fed9344d10d99b">yolov3::NMSConfig::iou_threshold</a></div><div class="ttdeci">float iou_threshold</div><div class="ttdoc">Inclusion threshold for Intersection-Over-Union. </div><div class="ttdef"><b>Definition:</b> <a href="_n_m_s_8hpp_source.xhtml#l00017">NMS.hpp:17</a></div></div>
<div class="ttc" id="namespaceyolov3_xhtml_a7cf18c5c3391effbaf3234792876cd52"><div class="ttname"><a href="namespaceyolov3.xhtml#a7cf18c5c3391effbaf3234792876cd52">yolov3::nms</a></div><div class="ttdeci">std::vector< Detection > nms(const NMSConfig &config, const std::vector< float > &detected_boxes)</div><div class="ttdoc">Perform Non-Maxima Supression on a list of given detections. </div><div class="ttdef"><b>Definition:</b> <a href="_n_m_s_8cpp_source.xhtml#l00113">NMS.cpp:113</a></div></div>
<div class="ttc" id="_tf_lite_yolo_v3_big-_armnn_8cpp_xhtml_a47e2cf3b998bc6a55711799ac97d6eee"><div class="ttname"><a href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a47e2cf3b998bc6a55711799ac97d6eee">MakeOutputTensors</a></div><div class="ttdeci">armnn::OutputTensors MakeOutputTensors(const std::vector< armnn::BindingPointInfo > &outputBindings, const std::vector< std::reference_wrapper< TContainer >> &outputDataContainers)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00074">TfLiteYoloV3Big-Armnn.cpp:74</a></div></div>
<div class="ttc" id="structyolov3_1_1_n_m_s_config_xhtml"><div class="ttname"><a href="structyolov3_1_1_n_m_s_config.xhtml">yolov3::NMSConfig</a></div><div class="ttdoc">Non Maxima Suprresion configuration meta-data. </div><div class="ttdef"><b>Definition:</b> <a href="_n_m_s_8hpp_source.xhtml#l00013">NMS.hpp:13</a></div></div>
<div class="ttc" id="structyolov3_1_1_n_m_s_config_xhtml_a4e90aada4569ce7e2b3e41649cfdc3f8"><div class="ttname"><a href="structyolov3_1_1_n_m_s_config.xhtml#a4e90aada4569ce7e2b3e41649cfdc3f8">yolov3::NMSConfig::confidence_threshold</a></div><div class="ttdeci">float confidence_threshold</div><div class="ttdoc">Inclusion confidence threshold for a box. </div><div class="ttdef"><b>Definition:</b> <a href="_n_m_s_8hpp_source.xhtml#l00016">NMS.hpp:16</a></div></div>
<div class="ttc" id="structyolov3_1_1_n_m_s_config_xhtml_ae82414d4f3be497637c3456351a19c03"><div class="ttname"><a href="structyolov3_1_1_n_m_s_config.xhtml#ae82414d4f3be497637c3456351a19c03">yolov3::NMSConfig::num_classes</a></div><div class="ttdeci">unsigned int num_classes</div><div class="ttdoc">Number of classes in the detected boxes. </div><div class="ttdef"><b>Definition:</b> <a href="_n_m_s_8hpp_source.xhtml#l00014">NMS.hpp:14</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#aa5b4bf99dead35f1ed10ec2da962b5f8">◆ </a></span>MakeInputTensors()</h2>
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<td class="memname"><a class="el" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> MakeInputTensors </td>
<td>(</td>
<td class="paramtype">const std::vector< <a class="el" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> > & </td>
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<td class="paramtype">const std::vector< std::reference_wrapper< <a class="el" href="namespacearmnn.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> >> & </td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00050">50</a> of file <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml">TfLiteYoloV3Big-Armnn.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_inference_model_8hpp_source.xhtml#l00570">InferenceModel< IParser, TDataType >::GetAllQuantizationParams()</a>, and <a class="el" href="_inference_model_8hpp_source.xhtml#l00481">InferenceModel< IParser, TDataType >::Run()</a>.</p>
<div class="fragment"><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>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> inputTensors;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputs = inputBindings.size();</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">if</span> (numInputs != inputDataContainers.size())</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">"Mismatching vectors"</span>);</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 class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numInputs; i++)</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a>& inputBinding = inputBindings[i];</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a>& inputData = inputDataContainers[i].get();</div><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="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> inputTensor(inputBinding.second, inputData.data());</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  inputTensors.push_back(std::make_pair(inputBinding.first, inputTensor));</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> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> inputTensors;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> }</div><div class="ttc" id="namespacearmnn_xhtml_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00324">Tensor.hpp:324</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00298">Tensor.hpp:298</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a9eb69ebdaf4ceb8014e7c8a540266100"><div class="ttname"><a href="namespacearmnn.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">armnn::TContainer</a></div><div class="ttdeci">boost::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char > > TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_network_quantizer_8cpp_source.xhtml#l00034">NetworkQuantizer.cpp:34</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></div><div class="ttdeci">std::pair< armnn::LayerBindingId, armnn::TensorInfo > BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00245">Tensor.hpp:245</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00046">Exceptions.hpp:46</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a47e2cf3b998bc6a55711799ac97d6eee">◆ </a></span>MakeOutputTensors()</h2>
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<td class="memname"><a class="el" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> MakeOutputTensors </td>
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<td class="paramtype">const std::vector< <a class="el" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> > & </td>
<td class="paramname"><em>outputBindings</em>, </td>
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<td class="paramtype">const std::vector< std::reference_wrapper< <a class="el" href="namespacearmnn.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> >> & </td>
<td class="paramname"><em>outputDataContainers</em> </td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00074">74</a> of file <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml">TfLiteYoloV3Big-Armnn.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_inference_model_8hpp_source.xhtml#l00570">InferenceModel< IParser, TDataType >::GetAllQuantizationParams()</a>, and <a class="el" href="_inference_model_8hpp_source.xhtml#l00481">InferenceModel< IParser, TDataType >::Run()</a>.</p>
<div class="fragment"><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> outputTensors;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numOutputs = outputBindings.size();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">if</span> (numOutputs != outputDataContainers.size())</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">"Mismatching vectors"</span>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  outputTensors.reserve(numOutputs);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numOutputs; i++)</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="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a>& outputBinding = outputBindings[i];</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a>& outputData = outputDataContainers[i].get();</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>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> outputTensor(outputBinding.second, const_cast<float*>(outputData.data()));</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  outputTensors.push_back(std::make_pair(outputBinding.first, outputTensor));</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</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="keywordflow">return</span> outputTensors;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00290">Tensor.hpp:290</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00325">Tensor.hpp:325</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a9eb69ebdaf4ceb8014e7c8a540266100"><div class="ttname"><a href="namespacearmnn.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">armnn::TContainer</a></div><div class="ttdeci">boost::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char > > TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_network_quantizer_8cpp_source.xhtml#l00034">NetworkQuantizer.cpp:34</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></div><div class="ttdeci">std::pair< armnn::LayerBindingId, armnn::TensorInfo > BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00245">Tensor.hpp:245</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00046">Exceptions.hpp:46</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a4924460665124a1acb27f89f6d46c70f">◆ </a></span>ValidateFilePath()</h2>
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<td class="memname">bool ValidateFilePath </td>
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<p class="definition">Definition at line <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00188">188</a> of file <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml">TfLiteYoloV3Big-Armnn.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00203">CheckAccuracy()</a>.</p>
<div class="fragment"><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>  <span class="keywordflow">if</span> (!ghc::filesystem::exists(file))</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  std::cerr << <span class="stringliteral">"Given file path "</span> << file << <span class="stringliteral">" does not exist"</span> << std::endl;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">return</span> <span class="keyword">false</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>  <span class="keywordflow">if</span> (!ghc::filesystem::is_regular_file(file))</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>  std::cerr << <span class="stringliteral">"Given file path "</span> << file << <span class="stringliteral">" is not a regular file"</span> << std::endl;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  }</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> }</div></div><!-- fragment -->
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