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<div class="title">ImageTensorGenerator.hpp</div> </div>
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<a href="_image_tensor_generator_8hpp.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 "../InferenceTestImage.hpp"</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="_types_utils_8hpp.xhtml">armnn/TypesUtils.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 <<a class="code" href="_permute_8hpp.xhtml">armnnUtils/Permute.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <fstream></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <iterator></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <string></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="comment">// Parameters used in normalizing images</span></div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="struct_normalization_parameters.xhtml"> 18</a></span> <span class="keyword">struct </span><a class="code" href="struct_normalization_parameters.xhtml">NormalizationParameters</a></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="struct_normalization_parameters.xhtml#a1d28dec57cce925ad92342891bd71e7c"> 20</a></span>  <span class="keywordtype">float</span> <a class="code" href="struct_normalization_parameters.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>{ 1.0 };</div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="struct_normalization_parameters.xhtml#a6e5ac6f9d3272e6670522daaacc04442"> 21</a></span>  std::array<float, 3> <a class="code" href="struct_normalization_parameters.xhtml#a6e5ac6f9d3272e6670522daaacc04442">mean</a>{ { 0.0, 0.0, 0.0 } };</div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="struct_normalization_parameters.xhtml#a8fdb461f0b4417f4ebff10b3413a948d"> 22</a></span>  std::array<float, 3> <a class="code" href="struct_normalization_parameters.xhtml#a8fdb461f0b4417f4ebff10b3413a948d">stddev</a>{ { 1.0, 1.0, 1.0 } };</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> };</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e"> 25</a></span> <span class="keyword">enum class</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a></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>  <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da">Caffe</a> = 0,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3">TensorFlow</a> = 1,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae">TFLite</a> = 2,</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"></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment">/** Get normalization parameters.</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"> * Note that different flavours of models and different model data types have different normalization methods.</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> * This tool currently only supports Caffe, TF and TFLite models</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"> *</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> * @param[in] modelFormat One of the supported frontends</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"> * @param[in] outputType Output type of the image tensor, also the type of the intended model</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> */</span></div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="_image_tensor_generator_8hpp.xhtml#a572494250ece8d94b68ea490d0bf46e4"> 39</a></span> <a class="code" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a572494250ece8d94b68ea490d0bf46e4">GetNormalizationParameters</a>(<span class="keyword">const</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a>& modelFormat,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a>& outputType)</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>  <a class="code" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> normParams;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="comment">// Explicitly set default parameters</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  normParams.<a class="code" href="struct_normalization_parameters.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a> = 1.0;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  normParams.<a class="code" href="struct_normalization_parameters.xhtml#a6e5ac6f9d3272e6670522daaacc04442">mean</a> = { 0.0, 0.0, 0.0 };</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  normParams.<a class="code" href="struct_normalization_parameters.xhtml#a8fdb461f0b4417f4ebff10b3413a948d">stddev</a> = { 1.0, 1.0, 1.0 };</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">switch</span> (modelFormat)</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">case</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da">SupportedFrontend::Caffe</a>:</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">case</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3">SupportedFrontend::TensorFlow</a>:</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">case</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae">SupportedFrontend::TFLite</a>:</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">switch</span> (outputType)</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  normParams.<a class="code" href="struct_normalization_parameters.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a> = 127.5;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  normParams.<a class="code" href="struct_normalization_parameters.xhtml#a6e5ac6f9d3272e6670522daaacc04442">mean</a> = { 1.0, 1.0, 1.0 };</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  normParams.<a class="code" href="struct_normalization_parameters.xhtml#a6e5ac6f9d3272e6670522daaacc04442">mean</a> = { 128.0, 128.0, 128.0 };</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">return</span> normParams;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> }</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment"></span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment">/** Prepare raw image tensor data by loading the image from imagePath and preprocessing it.</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"> *</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"> * @param[in] imagePath Path to the image file</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> * @param[in] newWidth The new width of the output image tensor</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> * @param[in] newHeight The new height of the output image tensor</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> * @param[in] normParams Normalization parameters for the normalization of the image</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"> * @param[in] batchSize Batch size</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> * @param[in] outputLayout Data layout of the output image tensor</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"> */</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keyword">template</span> <<span class="keyword">typename</span> ElemType></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> std::vector<ElemType> <a class="code" href="_image_tensor_generator_8hpp.xhtml#af39456ac4838301c6fc5b44d6a57479c">PrepareImageTensor</a>(<span class="keyword">const</span> std::string& imagePath,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newWidth,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newHeight,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">const</span> <a class="code" href="struct_normalization_parameters.xhtml">NormalizationParameters</a>& normParams,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 1,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>& outputLayout = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment">// Prepare float32 image tensor</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="_image_tensor_generator_8hpp.xhtml#affacfe95f011fce3b897b2745880f82a"> 91</a></span> std::vector<float> <a class="code" href="_image_tensor_generator_8hpp.xhtml#affacfe95f011fce3b897b2745880f82a">PrepareImageTensor<float></a>(<span class="keyword">const</span> std::string& imagePath,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newWidth,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newHeight,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> <a class="code" href="struct_normalization_parameters.xhtml">NormalizationParameters</a>& normParams,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>& outputLayout)</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Generate image tensor</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  std::vector<float> imageData;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="class_inference_test_image.xhtml">InferenceTestImage</a> testImage(imagePath.c_str());</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">if</span> (newWidth == 0)</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  newWidth = testImage.<a class="code" href="class_inference_test_image.xhtml#a4ec823e49ce46950b3d4cee1efff050b">GetWidth</a>();</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">if</span> (newHeight == 0)</div><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>  newHeight = testImage.GetHeight();</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// Resize the image to new width and height or keep at original dimensions if the new width and height are specified</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// as 0 Centre/Normalise the image.</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  imageData = testImage.Resize(newWidth, newHeight, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>(),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="class_inference_test_image.xhtml#ae7a403f69a7717c1eaae1d74b7bb7bcea773b27aa8d21604182ba90d029ad2e13">InferenceTestImage::ResizingMethods::BilinearAndNormalized</a>, normParams.<a class="code" href="struct_normalization_parameters.xhtml#a6e5ac6f9d3272e6670522daaacc04442">mean</a>,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  normParams.<a class="code" href="struct_normalization_parameters.xhtml#a8fdb461f0b4417f4ebff10b3413a948d">stddev</a>, normParams.<a class="code" href="struct_normalization_parameters.xhtml#a1d28dec57cce925ad92342891bd71e7c">scale</a>);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">if</span> (outputLayout == <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>)</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// Convert to NCHW format</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</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="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> dstShape({ batchSize, 3, newHeight, newWidth });</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  std::vector<float> tempImage(imageData.size());</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="namespacearmnn_utils.xhtml#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a>(dstShape, NHWCToArmNN, imageData.data(), tempImage.data(), <span class="keyword">sizeof</span>(float));</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  imageData.swap(tempImage);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">return</span> imageData;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="comment">// Prepare int32 image tensor</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="_image_tensor_generator_8hpp.xhtml#ac1e8e68c74e5d1c8fd19a91a68de3cb7"> 128</a></span> std::vector<int> <a class="code" href="_image_tensor_generator_8hpp.xhtml#ac1e8e68c74e5d1c8fd19a91a68de3cb7">PrepareImageTensor<int></a>(<span class="keyword">const</span> std::string& imagePath,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newWidth,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newHeight,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> <a class="code" href="struct_normalization_parameters.xhtml">NormalizationParameters</a>& normParams,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>& outputLayout)</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> {</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">// Get float32 image tensor</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  std::vector<float> imageDataFloat =</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="_image_tensor_generator_8hpp.xhtml#affacfe95f011fce3b897b2745880f82a">PrepareImageTensor<float></a>(imagePath, newWidth, newHeight, normParams, batchSize, outputLayout);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// Convert to int32 image tensor with static cast</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  std::vector<int> imageDataInt;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  imageDataInt.reserve(imageDataFloat.size());</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  std::transform(imageDataFloat.begin(), imageDataFloat.end(), std::back_inserter(imageDataInt),</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  [](<span class="keywordtype">float</span> val) { <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(val); });</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">return</span> imageDataInt;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="comment">// Prepare qasymm8 image tensor</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00148"></a><span class="lineno"><a class="line" href="_image_tensor_generator_8hpp.xhtml#ac372cd2b257f33f29999217e1d2d8a37"> 148</a></span> std::vector<uint8_t> <a class="code" href="_image_tensor_generator_8hpp.xhtml#ac372cd2b257f33f29999217e1d2d8a37">PrepareImageTensor<uint8_t></a>(<span class="keyword">const</span> std::string& imagePath,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newWidth,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newHeight,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">const</span> <a class="code" href="struct_normalization_parameters.xhtml">NormalizationParameters</a>& normParams,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>& outputLayout)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// Get float32 image tensor</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  std::vector<float> imageDataFloat =</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="_image_tensor_generator_8hpp.xhtml#affacfe95f011fce3b897b2745880f82a">PrepareImageTensor<float></a>(imagePath, newWidth, newHeight, normParams, batchSize, outputLayout);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  std::vector<uint8_t> imageDataQasymm8;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  imageDataQasymm8.reserve(imageDataFloat.size());</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="comment">// Convert to uint8 image tensor with static cast</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  std::transform(imageDataFloat.begin(), imageDataFloat.end(), std::back_inserter(imageDataQasymm8),</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  [](<span class="keywordtype">float</span> val) { <span class="keywordflow">return</span> <span class="keyword">static_cast<</span>uint8_t<span class="keyword">></span>(val); });</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">return</span> imageDataQasymm8;</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> <span class="comment"></span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="comment">/** Write image tensor to ofstream</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="comment"> *</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="comment"> * @param[in] imageData Image tensor data</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="comment"> * @param[in] imageTensorFile Output filestream (ofstream) to which the image tensor data is written</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="comment"> */</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="keyword">template</span> <<span class="keyword">typename</span> ElemType></div><div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="_image_tensor_generator_8hpp.xhtml#a292c4c49fc943bfcb7ee1ce1435d4690"> 172</a></span> <span class="keywordtype">void</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a292c4c49fc943bfcb7ee1ce1435d4690">WriteImageTensorImpl</a>(<span class="keyword">const</span> std::vector<ElemType>& imageData, std::ofstream& imageTensorFile)</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  std::copy(imageData.begin(), imageData.end(), std::ostream_iterator<ElemType>(imageTensorFile, <span class="stringliteral">" "</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> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="comment">// For uint8_t image tensor, cast it to int before writing it to prevent writing data as characters instead of</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="comment">// numerical values</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="_image_tensor_generator_8hpp.xhtml#a2120283536d91fbdee0d19fff3156994"> 180</a></span> <span class="keywordtype">void</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a2120283536d91fbdee0d19fff3156994">WriteImageTensorImpl<uint8_t></a>(<span class="keyword">const</span> std::vector<uint8_t>& imageData, std::ofstream& imageTensorFile)</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> {</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  std::copy(imageData.begin(), imageData.end(), std::ostream_iterator<int>(imageTensorFile, <span class="stringliteral">" "</span>));</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> }</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="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#l00050">Types.hpp:50</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da">SupportedFrontend::Caffe</a></div></div>
<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae">SupportedFrontend::TFLite</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_a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3">SupportedFrontend::TensorFlow</a></div></div>
<div class="ttc" id="struct_normalization_parameters_xhtml_a8fdb461f0b4417f4ebff10b3413a948d"><div class="ttname"><a href="struct_normalization_parameters.xhtml#a8fdb461f0b4417f4ebff10b3413a948d">NormalizationParameters::stddev</a></div><div class="ttdeci">std::array< float, 3 > stddev</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00022">ImageTensorGenerator.hpp:22</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 &modelFormat, const armnn::DataType &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="_image_tensor_generator_8hpp_xhtml_af39456ac4838301c6fc5b44d6a57479c"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#af39456ac4838301c6fc5b44d6a57479c">PrepareImageTensor</a></div><div class="ttdeci">std::vector< ElemType > PrepareImageTensor(const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &normParams, unsigned int batchSize=1, const armnn::DataLayout &outputLayout=armnn::DataLayout::NHWC)</div><div class="ttdoc">Prepare raw image tensor data by loading the image from imagePath and preprocessing it...</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< ElemType > &imageData, std::ofstream &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< uint8_t ></a></div><div class="ttdeci">std::vector< uint8_t > PrepareImageTensor< uint8_t >(const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &normParams, unsigned int batchSize, const armnn::DataLayout &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="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#l00131">Permute.cpp:131</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="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="_permute_8hpp_xhtml"><div class="ttname"><a href="_permute_8hpp.xhtml">Permute.hpp</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="class_inference_test_image_xhtml_a4ec823e49ce46950b3d4cee1efff050b"><div class="ttname"><a href="class_inference_test_image.xhtml#a4ec823e49ce46950b3d4cee1efff050b">InferenceTestImage::GetWidth</a></div><div class="ttdeci">unsigned int GetWidth() const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_image_8hpp_source.xhtml#l00075">InferenceTestImage.hpp:75</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_a2120283536d91fbdee0d19fff3156994"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a2120283536d91fbdee0d19fff3156994">WriteImageTensorImpl< uint8_t ></a></div><div class="ttdeci">void WriteImageTensorImpl< uint8_t >(const std::vector< uint8_t > &imageData, std::ofstream &imageTensorFile)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00180">ImageTensorGenerator.hpp:180</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< int ></a></div><div class="ttdeci">std::vector< int > PrepareImageTensor< int >(const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &normParams, unsigned int batchSize, const armnn::DataLayout &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="_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="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#l00212">Types.hpp:212</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="struct_normalization_parameters_xhtml_a6e5ac6f9d3272e6670522daaacc04442"><div class="ttname"><a href="struct_normalization_parameters.xhtml#a6e5ac6f9d3272e6670522daaacc04442">NormalizationParameters::mean</a></div><div class="ttdeci">std::array< float, 3 > mean</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00021">ImageTensorGenerator.hpp:21</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="struct_normalization_parameters_xhtml_a1d28dec57cce925ad92342891bd71e7c"><div class="ttname"><a href="struct_normalization_parameters.xhtml#a1d28dec57cce925ad92342891bd71e7c">NormalizationParameters::scale</a></div><div class="ttdeci">float scale</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00020">ImageTensorGenerator.hpp:20</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="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</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< float ></a></div><div class="ttdeci">std::vector< float > PrepareImageTensor< float >(const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &normParams, unsigned int batchSize, const armnn::DataLayout &outputLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00091">ImageTensorGenerator.hpp:91</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
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