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<div class="textblock"><code>#include &quot;<a class="el" href="_image_tensor_generator_8hpp_source.xhtml">ImageTensorGenerator.hpp</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_inference_test_image_8hpp_source.xhtml">../InferenceTestImage.hpp</a>&quot;</code><br />
<code>#include &lt;<a class="el" href="_logging_8hpp_source.xhtml">armnn/Logging.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_types_utils_8hpp_source.xhtml">armnn/TypesUtils.hpp</a>&gt;</code><br />
<code>#include &lt;boost/filesystem.hpp&gt;</code><br />
<code>#include &lt;boost/filesystem/operations.hpp&gt;</code><br />
<code>#include &lt;boost/filesystem/path.hpp&gt;</code><br />
<code>#include &lt;boost/program_options.hpp&gt;</code><br />
<code>#include &lt;boost/variant.hpp&gt;</code><br />
<code>#include &lt;algorithm&gt;</code><br />
<code>#include &lt;fstream&gt;</code><br />
<code>#include &lt;iostream&gt;</code><br />
<code>#include &lt;string&gt;</code><br />
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<h2 class="memtitle"><span class="permalink"><a href="#a0ddf1224851353fc92bfbff6f499fa97">&#9670;&nbsp;</a></span>main()</h2>
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<td class="memname">int main </td>
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<p class="definition">Definition at line <a class="el" href="_image_tensor_generator_8cpp_source.xhtml#l00248">248</a> of file <a class="el" href="_image_tensor_generator_8cpp_source.xhtml">ImageTensorGenerator.cpp</a>.</p>
<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00163">ARMNN_LOG</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00039">GetNormalizationParameters()</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00091">PrepareImageTensor&lt; float &gt;()</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00128">PrepareImageTensor&lt; int &gt;()</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00148">PrepareImageTensor&lt; uint8_t &gt;()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, <a class="el" href="_exceptions_8cpp_source.xhtml#l00032">Exception::what()</a>, and <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00172">WriteImageTensorImpl()</a>.</p>
<div class="fragment"><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;{</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; CommandLineProcessor cmdline;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="keywordflow">if</span> (!cmdline.ProcessCommandLine(argc, argv))</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; }</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; <span class="keyword">const</span> std::string imagePath(cmdline.GetInputFileName());</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; <span class="keyword">const</span> std::string outputPath(cmdline.GetOutputFileName());</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <span class="keyword">const</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a>&amp; modelFormat(cmdline.GetModelFormat());</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> outputType(cmdline.GetOutputType());</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newWidth = cmdline.GetNewWidth();</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newHeight = cmdline.GetNewHeight();</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 1;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> outputLayout(cmdline.GetLayout());</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keyword">using</span> <a class="code" href="_model_accuracy_checker_test_8cpp.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> = boost::variant&lt;std::vector&lt;float&gt;, std::vector&lt;int&gt;, std::vector&lt;uint8_t&gt;&gt;;</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; std::vector&lt;TContainer&gt; imageDataContainers;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <span class="keyword">const</span> <a class="code" href="struct_normalization_parameters.xhtml">NormalizationParameters</a>&amp; normParams = <a class="code" href="_image_tensor_generator_8hpp.xhtml#a572494250ece8d94b68ea490d0bf46e4">GetNormalizationParameters</a>(modelFormat, outputType);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="keywordflow">try</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <span class="keywordflow">switch</span> (outputType)</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; {</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.xhtml#ac1e8e68c74e5d1c8fd19a91a68de3cb7">PrepareImageTensor&lt;int&gt;</a>(</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.xhtml#ac372cd2b257f33f29999217e1d2d8a37">PrepareImageTensor&lt;uint8_t&gt;</a>(</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.xhtml#affacfe95f011fce3b897b2745880f82a">PrepareImageTensor&lt;float&gt;</a>(</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; }</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; }</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="class_inference_test_image_exception.xhtml">InferenceTestImageException</a>&amp; e)</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; {</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) &lt;&lt; <span class="stringliteral">&quot;Failed to load image file &quot;</span> &lt;&lt; imagePath &lt;&lt; <span class="stringliteral">&quot; with error: &quot;</span> &lt;&lt; e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; }</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160;</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; std::ofstream imageTensorFile;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; imageTensorFile.open(outputPath, std::ofstream::out);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="keywordflow">if</span> (imageTensorFile.is_open())</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; {</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; boost::apply_visitor([&amp;imageTensorFile](<span class="keyword">auto</span>&amp;&amp; imageData) { <a class="code" href="_image_tensor_generator_8hpp.xhtml#a292c4c49fc943bfcb7ee1ce1435d4690">WriteImageTensorImpl</a>(imageData, imageTensorFile); },</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; imageDataContainers[0]);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; <span class="keywordflow">if</span> (!imageTensorFile)</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; {</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) &lt;&lt; <span class="stringliteral">&quot;Failed to write to output file&quot;</span> &lt;&lt; outputPath;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; imageTensorFile.close();</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; }</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; imageTensorFile.close();</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) &lt;&lt; <span class="stringliteral">&quot;Failed to open output file&quot;</span> &lt;&lt; outputPath;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; }</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00049">Types.hpp:49</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a572494250ece8d94b68ea490d0bf46e4"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a572494250ece8d94b68ea490d0bf46e4">GetNormalizationParameters</a></div><div class="ttdeci">NormalizationParameters GetNormalizationParameters(const SupportedFrontend &amp;modelFormat, const armnn::DataType &amp;outputType)</div><div class="ttdoc">Get normalization parameters. </div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00039">ImageTensorGenerator.hpp:39</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.xhtml#l00032">Exceptions.cpp:32</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="_image_tensor_generator_8hpp_xhtml_a292c4c49fc943bfcb7ee1ce1435d4690"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a292c4c49fc943bfcb7ee1ce1435d4690">WriteImageTensorImpl</a></div><div class="ttdeci">void WriteImageTensorImpl(const std::vector&lt; ElemType &gt; &amp;imageData, std::ofstream &amp;imageTensorFile)</div><div class="ttdoc">Write image tensor to ofstream. </div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00172">ImageTensorGenerator.hpp:172</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_ac372cd2b257f33f29999217e1d2d8a37"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#ac372cd2b257f33f29999217e1d2d8a37">PrepareImageTensor&lt; uint8_t &gt;</a></div><div class="ttdeci">std::vector&lt; uint8_t &gt; PrepareImageTensor&lt; uint8_t &gt;(const std::string &amp;imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &amp;normParams, unsigned int batchSize, const armnn::DataLayout &amp;outputLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00148">ImageTensorGenerator.hpp:148</a></div></div>
<div class="ttc" id="_model_accuracy_checker_test_8cpp_xhtml_a9eb69ebdaf4ceb8014e7c8a540266100"><div class="ttname"><a href="_model_accuracy_checker_test_8cpp.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a></div><div class="ttdeci">boost::variant&lt; std::vector&lt; float &gt;, std::vector&lt; int &gt;, std::vector&lt; unsigned char &gt; &gt; TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_test_8cpp_source.xhtml#l00059">ModelAccuracyCheckerTest.cpp:59</a></div></div>
<div class="ttc" id="class_inference_test_image_exception_xhtml"><div class="ttname"><a href="class_inference_test_image_exception.xhtml">InferenceTestImageException</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_image_8hpp_source.xhtml#l00015">InferenceTestImage.hpp:15</a></div></div>
<div class="ttc" id="struct_normalization_parameters_xhtml"><div class="ttname"><a href="struct_normalization_parameters.xhtml">NormalizationParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00018">ImageTensorGenerator.hpp:18</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_ac1e8e68c74e5d1c8fd19a91a68de3cb7"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#ac1e8e68c74e5d1c8fd19a91a68de3cb7">PrepareImageTensor&lt; int &gt;</a></div><div class="ttdeci">std::vector&lt; int &gt; PrepareImageTensor&lt; int &gt;(const std::string &amp;imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &amp;normParams, unsigned int batchSize, const armnn::DataLayout &amp;outputLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00128">ImageTensorGenerator.hpp:128</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a7599848540a5f43e977119c054b3563e"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a></div><div class="ttdeci">SupportedFrontend</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00025">ImageTensorGenerator.hpp:25</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_affacfe95f011fce3b897b2745880f82a"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#affacfe95f011fce3b897b2745880f82a">PrepareImageTensor&lt; float &gt;</a></div><div class="ttdeci">std::vector&lt; float &gt; PrepareImageTensor&lt; float &gt;(const std::string &amp;imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &amp;normParams, unsigned int batchSize, const armnn::DataLayout &amp;outputLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00091">ImageTensorGenerator.hpp:91</a></div></div>
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