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<a href="_caffe_preprocessor_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#include "<a class="code" href="_inference_test_image_8hpp.xhtml">InferenceTestImage.hpp</a>"</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_caffe_preprocessor_8hpp.xhtml">CaffePreprocessor.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_numeric_cast_8hpp.xhtml">armnn/utility/NumericCast.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <iostream></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <fcntl.h></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <array></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="_caffe_preprocessor_8cpp.xhtml#a2e3a3e9d1f061482dc3dfcc790dceb79"> 14</a></span> <span class="keyword">const</span> std::vector<ImageSet> <a class="code" href="_caffe_preprocessor_8cpp.xhtml#a2e3a3e9d1f061482dc3dfcc790dceb79">g_DefaultImageSet</a> =</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  {<span class="stringliteral">"shark.jpg"</span>, 2}</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> };</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="class_caffe_preprocessor.xhtml#a6ca5a337226f4d2d85ffc3d95f39998e"> 19</a></span> <a class="code" href="class_caffe_preprocessor.xhtml#a6ca5a337226f4d2d85ffc3d95f39998e">CaffePreprocessor::CaffePreprocessor</a>(<span class="keyword">const</span> std::string& binaryFileDirectory, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height,</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> std::vector<ImageSet>& imageSet)</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> : m_BinaryDirectory(binaryFileDirectory)</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> , m_Height(height)</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> , m_Width(width)</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> , m_ImageSet(imageSet.empty() ? <a class="code" href="_caffe_preprocessor_8cpp.xhtml#a2e3a3e9d1f061482dc3dfcc790dceb79">g_DefaultImageSet</a> : imageSet)</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> {</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> }</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="class_caffe_preprocessor.xhtml#a21e0733780e895c0baf0072c51cbfd23"> 28</a></span> std::unique_ptr<CaffePreprocessor::TTestCaseData> <a class="code" href="class_caffe_preprocessor.xhtml#a21e0733780e895c0baf0072c51cbfd23">CaffePreprocessor::GetTestCaseData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> testCaseId)</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> {</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  testCaseId = testCaseId % <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(m_ImageSet.size());</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">const</span> <a class="code" href="_caffe_preprocessor_8hpp.xhtml#aaf2811634c15da39d0966a444b780a55">ImageSet</a>& imageSet = m_ImageSet[testCaseId];</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">const</span> std::string fullPath = m_BinaryDirectory + imageSet.first;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="class_inference_test_image.xhtml">InferenceTestImage</a> image(fullPath.c_str());</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  image.<a class="code" href="class_inference_test_image.xhtml#a4a6637c2a2952a14cb3a426133b67a73">Resize</a>(m_Width, m_Height, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="comment">// The model expects image data in BGR format.</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  std::vector<float> inputImageData = <a class="code" href="_inference_test_image_8cpp.xhtml#a16f15d88afcc9c6bba231cc72bdd8cbf">GetImageDataInArmNnLayoutAsFloatsSubtractingMean</a>(<a class="code" href="_inference_test_image_8hpp.xhtml#a5f7592b0a8fa09208cd32721cf207110a103b58155b4c5cc09249629e7ccd5dc2">ImageChannelLayout::Bgr</a>,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  image, m_MeanBgr);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// List of labels: https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> label = imageSet.second;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">return</span> std::make_unique<TTestCaseData>(label, std::move(inputImageData));</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> }</div><div class="ttc" id="_caffe_preprocessor_8hpp_xhtml_aaf2811634c15da39d0966a444b780a55"><div class="ttname"><a href="_caffe_preprocessor_8hpp.xhtml#aaf2811634c15da39d0966a444b780a55">ImageSet</a></div><div class="ttdeci">std::pair< const std::string, unsigned int > ImageSet</div><div class="ttdoc">Caffe requires BGR images, not normalized, mean adjusted and resized using smooth resize of STB libra...</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_preprocessor_8hpp_source.xhtml#l00016">CaffePreprocessor.hpp:16</a></div></div>
<div class="ttc" id="class_caffe_preprocessor_xhtml_a21e0733780e895c0baf0072c51cbfd23"><div class="ttname"><a href="class_caffe_preprocessor.xhtml#a21e0733780e895c0baf0072c51cbfd23">CaffePreprocessor::GetTestCaseData</a></div><div class="ttdeci">std::unique_ptr< TTestCaseData > GetTestCaseData(unsigned int testCaseId)</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_preprocessor_8cpp_source.xhtml#l00028">CaffePreprocessor.cpp:28</a></div></div>
<div class="ttc" id="_caffe_preprocessor_8cpp_xhtml_a2e3a3e9d1f061482dc3dfcc790dceb79"><div class="ttname"><a href="_caffe_preprocessor_8cpp.xhtml#a2e3a3e9d1f061482dc3dfcc790dceb79">g_DefaultImageSet</a></div><div class="ttdeci">const std::vector< ImageSet > g_DefaultImageSet</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_preprocessor_8cpp_source.xhtml#l00014">CaffePreprocessor.cpp:14</a></div></div>
<div class="ttc" id="_numeric_cast_8hpp_xhtml"><div class="ttname"><a href="_numeric_cast_8hpp.xhtml">NumericCast.hpp</a></div></div>
<div class="ttc" id="_inference_test_image_8hpp_xhtml"><div class="ttname"><a href="_inference_test_image_8hpp.xhtml">InferenceTestImage.hpp</a></div></div>
<div class="ttc" id="_inference_test_image_8cpp_xhtml_a16f15d88afcc9c6bba231cc72bdd8cbf"><div class="ttname"><a href="_inference_test_image_8cpp.xhtml#a16f15d88afcc9c6bba231cc72bdd8cbf">GetImageDataInArmNnLayoutAsFloatsSubtractingMean</a></div><div class="ttdeci">std::vector< float > GetImageDataInArmNnLayoutAsFloatsSubtractingMean(ImageChannelLayout layout, const InferenceTestImage &image, const std::array< float, 3 > &mean)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_image_8cpp_source.xhtml#l00321">InferenceTestImage.cpp:321</a></div></div>
<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00197">Exceptions.hpp:197</a></div></div>
<div class="ttc" id="class_inference_test_image_xhtml"><div class="ttname"><a href="class_inference_test_image.xhtml">InferenceTestImage</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_image_8hpp_source.xhtml#l00051">InferenceTestImage.hpp:51</a></div></div>
<div class="ttc" id="_caffe_preprocessor_8hpp_xhtml"><div class="ttname"><a href="_caffe_preprocessor_8hpp.xhtml">CaffePreprocessor.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00035">NumericCast.hpp:35</a></div></div>
<div class="ttc" id="class_inference_test_image_xhtml_a4a6637c2a2952a14cb3a426133b67a73"><div class="ttname"><a href="class_inference_test_image.xhtml#a4a6637c2a2952a14cb3a426133b67a73">InferenceTestImage::Resize</a></div><div class="ttdeci">std::vector< float > Resize(unsigned int newWidth, unsigned int newHeight, const armnn::CheckLocation &location, const ResizingMethods meth=ResizingMethods::STB, const std::array< float, 3 > &mean={{0.0, 0.0, 0.0}}, const std::array< float, 3 > &stddev={{1.0, 1.0, 1.0}}, const float scale=255.0f)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_image_8cpp_source.xhtml#l00209">InferenceTestImage.cpp:209</a></div></div>
<div class="ttc" id="class_caffe_preprocessor_xhtml_a6ca5a337226f4d2d85ffc3d95f39998e"><div class="ttname"><a href="class_caffe_preprocessor.xhtml#a6ca5a337226f4d2d85ffc3d95f39998e">CaffePreprocessor::CaffePreprocessor</a></div><div class="ttdeci">CaffePreprocessor(const std::string &binaryFileDirectory, unsigned int width=227, unsigned int height=227, const std::vector< ImageSet > &imageSet=std::vector< ImageSet >())</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_preprocessor_8cpp_source.xhtml#l00019">CaffePreprocessor.cpp:19</a></div></div>
<div class="ttc" id="_inference_test_image_8hpp_xhtml_a5f7592b0a8fa09208cd32721cf207110a103b58155b4c5cc09249629e7ccd5dc2"><div class="ttname"><a href="_inference_test_image_8hpp.xhtml#a5f7592b0a8fa09208cd32721cf207110a103b58155b4c5cc09249629e7ccd5dc2">ImageChannelLayout::Bgr</a></div></div>
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