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diff --git a/20.02/_image_preprocessor_8cpp_source.xhtml b/20.02/_image_preprocessor_8cpp_source.xhtml new file mode 100644 index 0000000000..e276f2cc60 --- /dev/null +++ b/20.02/_image_preprocessor_8cpp_source.xhtml @@ -0,0 +1,129 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: tests/ImagePreprocessor.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_image_preprocessor_8cpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">ImagePreprocessor.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_image_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> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_inference_test_image_8hpp.xhtml">InferenceTestImage.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_image_preprocessor_8hpp.xhtml">ImagePreprocessor.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_permute_8hpp.xhtml">armnnUtils/Permute.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <boost/numeric/conversion/cast.hpp></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <boost/assert.hpp></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <boost/format.hpp></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <iostream></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <fcntl.h></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <array></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">template</span> <<span class="keyword">typename</span> TDataType></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="class_image_preprocessor.xhtml">ImagePreprocessor<TDataType>::GetLabelAndResizedImageAsFloat</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> testCaseId,</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  std::vector<float> & result)</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> {</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  testCaseId = testCaseId % <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(m_ImageSet.size());</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</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="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">const</span> std::string fullPath = m_BinaryDirectory + imageSet.first;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <a class="code" href="class_inference_test_image.xhtml">InferenceTestImage</a> image(fullPath.c_str());</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="comment">// this ResizeBilinear result is closer to the tensorflow one than STB.</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="comment">// there is still some difference though, but the inference results are</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="comment">// similar to tensorflow for MobileNet</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  result = 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>  <a class="code" href="class_inference_test_image.xhtml#ae7a403f69a7717c1eaae1d74b7bb7bcea773b27aa8d21604182ba90d029ad2e13">InferenceTestImage::ResizingMethods::BilinearAndNormalized</a>,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  m_Mean, m_Stddev, m_Scale);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// duplicate data across the batch</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1; i < m_BatchSize; i++)</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  result.insert(result.end(), result.begin(), result.begin() + <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a><<span class="keywordtype">int</span>>(GetNumImageElements()));</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">if</span> (m_DataFormat == DataFormat::NCHW)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> <a class="code" href="namespacearmnn_utils.xhtml#a12124184ac6aec018beb98b9715330c7">NHWCToArmNN</a> = { 0, 2, 3, 1 };</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> dstShape({m_BatchSize, 3, m_Height, m_Width});</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  std::vector<float> tempImage(result.size());</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="namespacearmnn_utils.xhtml#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a>(dstShape, NHWCToArmNN, result.data(), tempImage.data(), <span class="keyword">sizeof</span>(float));</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  result.swap(tempImage);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">return</span> imageSet.second;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> std::unique_ptr<ImagePreprocessor<float>::TTestCaseData></div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="class_image_preprocessor.xhtml#afc05b2b7e914f9737812e66f5583b04c"> 59</a></span> <a class="code" href="class_image_preprocessor.xhtml#ac2bd5628ca0535f9e8af78e65685d62f">ImagePreprocessor<float>::GetTestCaseData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> testCaseId)</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>  std::vector<float> resized;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">auto</span> label = GetLabelAndResizedImageAsFloat(testCaseId, resized);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">return</span> std::make_unique<TTestCaseData>(label, std::move(resized));</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> }</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> <span class="keyword">template</span> <></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> std::unique_ptr<ImagePreprocessor<uint8_t>::TTestCaseData></div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="class_image_preprocessor.xhtml#a0859c20682ecfa660d0da13de7998029"> 68</a></span> <a class="code" href="class_image_preprocessor.xhtml#ac2bd5628ca0535f9e8af78e65685d62f">ImagePreprocessor<uint8_t>::GetTestCaseData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> testCaseId)</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>  std::vector<float> resized;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">auto</span> label = GetLabelAndResizedImageAsFloat(testCaseId, resized);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordtype">size_t</span> resizedSize = resized.size();</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  std::vector<uint8_t> quantized(resized.size());</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=0; i<resizedSize; ++i)</div><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>  quantized[i] = <span class="keyword">static_cast<</span>uint8_t<span class="keyword">></span>(resized[i]);</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> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">return</span> std::make_unique<TTestCaseData>(label, std::move(quantized));</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</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_inference_test_image_xhtml_ae7a403f69a7717c1eaae1d74b7bb7bcea773b27aa8d21604182ba90d029ad2e13"><div class="ttname"><a href="class_inference_test_image.xhtml#ae7a403f69a7717c1eaae1d74b7bb7bcea773b27aa8d21604182ba90d029ad2e13">InferenceTestImage::ResizingMethods::BilinearAndNormalized</a></div></div> +<div class="ttc" id="class_image_preprocessor_xhtml_ac2bd5628ca0535f9e8af78e65685d62f"><div class="ttname"><a href="class_image_preprocessor.xhtml#ac2bd5628ca0535f9e8af78e65685d62f">ImagePreprocessor::GetTestCaseData</a></div><div class="ttdeci">std::unique_ptr< TTestCaseData > GetTestCaseData(unsigned int testCaseId)</div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_utils_xhtml_a12124184ac6aec018beb98b9715330c7"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a12124184ac6aec018beb98b9715330c7">armnnUtils::NHWCToArmNN</a></div><div class="ttdeci">const armnn::PermutationVector NHWCToArmNN</div><div class="ttdef"><b>Definition:</b> <a href="_parser_helper_8cpp_source.xhtml#l00016">ParserHelper.cpp:16</a></div></div> +<div class="ttc" id="namespacearmnn_utils_xhtml_af3c74017185773dd61d8ca6662d65d43"><div class="ttname"><a href="namespacearmnn_utils.xhtml#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a></div><div class="ttdeci">void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.xhtml#l00121">Permute.cpp:121</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="_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div> +<div class="ttc" id="_permute_8hpp_xhtml"><div class="ttname"><a href="_permute_8hpp.xhtml">Permute.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a37fa39012e90d568df7f774cd6d1e956"><div class="ttname"><a href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">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#l00033">NumericCast.hpp:33</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#l00192">Exceptions.hpp:192</a></div></div> +<div class="ttc" id="classarmnn_1_1_permutation_vector_xhtml"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00173">Types.hpp:173</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="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="_image_preprocessor_8hpp_xhtml"><div class="ttname"><a href="_image_preprocessor_8hpp.xhtml">ImagePreprocessor.hpp</a></div></div> +<div class="ttc" id="class_image_preprocessor_xhtml"><div class="ttname"><a href="class_image_preprocessor.xhtml">ImagePreprocessor</a></div><div class="ttdef"><b>Definition:</b> <a href="_image_preprocessor_8hpp_source.xhtml#l00020">ImagePreprocessor.hpp:20</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="_image_preprocessor_8cpp.xhtml">ImagePreprocessor.cpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:13 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |