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diff --git a/20.02/_image_tensor_generator_8hpp.xhtml b/20.02/_image_tensor_generator_8hpp.xhtml new file mode 100644 index 0000000000..b1b4f3e4f7 --- /dev/null +++ b/20.02/_image_tensor_generator_8hpp.xhtml @@ -0,0 +1,580 @@ +<!-- 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/ImageTensorGenerator/ImageTensorGenerator.hpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script 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href="#enum-members">Enumerations</a> | +<a href="#func-members">Functions</a> </div> + <div class="headertitle"> +<div class="title">ImageTensorGenerator.hpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_inference_test_image_8hpp_source.xhtml">../InferenceTestImage.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_types_utils_8hpp_source.xhtml">armnn/TypesUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_permute_8hpp_source.xhtml">armnnUtils/Permute.hpp</a>></code><br /> +<code>#include <algorithm></code><br /> +<code>#include <fstream></code><br /> +<code>#include <iterator></code><br /> +<code>#include <string></code><br /> +</div> +<p><a href="_image_tensor_generator_8hpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a> +Classes</h2></td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="struct_normalization_parameters.xhtml">NormalizationParameters</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="enum-members"></a> +Enumerations</h2></td></tr> +<tr class="memitem:a7599848540a5f43e977119c054b3563e"><td class="memItemLeft" align="right" valign="top">enum  </td><td class="memItemRight" valign="bottom"><a class="el" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a> { <a class="el" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da">Caffe</a> = 0, +<a class="el" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3">TensorFlow</a> = 1, +<a class="el" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae">TFLite</a> = 2 + }</td></tr> +<tr class="separator:a7599848540a5f43e977119c054b3563e"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:a572494250ece8d94b68ea490d0bf46e4"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="_image_tensor_generator_8hpp.xhtml#a572494250ece8d94b68ea490d0bf46e4">GetNormalizationParameters</a> (const <a class="el" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a> &modelFormat, const <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> &outputType)</td></tr> +<tr class="memdesc:a572494250ece8d94b68ea490d0bf46e4"><td class="mdescLeft"> </td><td class="mdescRight">Get normalization parameters. <a href="#a572494250ece8d94b68ea490d0bf46e4">More...</a><br /></td></tr> +<tr class="separator:a572494250ece8d94b68ea490d0bf46e4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af39456ac4838301c6fc5b44d6a57479c"><td class="memTemplParams" colspan="2">template<typename ElemType > </td></tr> +<tr class="memitem:af39456ac4838301c6fc5b44d6a57479c"><td class="memTemplItemLeft" align="right" valign="top">std::vector< ElemType > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_image_tensor_generator_8hpp.xhtml#af39456ac4838301c6fc5b44d6a57479c">PrepareImageTensor</a> (const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const <a class="el" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> &normParams, unsigned int batchSize=1, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> &outputLayout=<a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>)</td></tr> +<tr class="memdesc:af39456ac4838301c6fc5b44d6a57479c"><td class="mdescLeft"> </td><td class="mdescRight">Prepare raw image tensor data by loading the image from imagePath and preprocessing it. <a href="#af39456ac4838301c6fc5b44d6a57479c">More...</a><br /></td></tr> +<tr class="separator:af39456ac4838301c6fc5b44d6a57479c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:affacfe95f011fce3b897b2745880f82a"><td class="memTemplParams" colspan="2">template<> </td></tr> +<tr class="memitem:affacfe95f011fce3b897b2745880f82a"><td class="memTemplItemLeft" align="right" valign="top">std::vector< float > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_image_tensor_generator_8hpp.xhtml#affacfe95f011fce3b897b2745880f82a">PrepareImageTensor< float ></a> (const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const <a class="el" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> &normParams, unsigned int batchSize, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> &outputLayout)</td></tr> +<tr class="separator:affacfe95f011fce3b897b2745880f82a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac1e8e68c74e5d1c8fd19a91a68de3cb7"><td class="memTemplParams" colspan="2">template<> </td></tr> +<tr class="memitem:ac1e8e68c74e5d1c8fd19a91a68de3cb7"><td class="memTemplItemLeft" align="right" valign="top">std::vector< int > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_image_tensor_generator_8hpp.xhtml#ac1e8e68c74e5d1c8fd19a91a68de3cb7">PrepareImageTensor< int ></a> (const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const <a class="el" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> &normParams, unsigned int batchSize, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> &outputLayout)</td></tr> +<tr class="separator:ac1e8e68c74e5d1c8fd19a91a68de3cb7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac372cd2b257f33f29999217e1d2d8a37"><td class="memTemplParams" colspan="2">template<> </td></tr> +<tr class="memitem:ac372cd2b257f33f29999217e1d2d8a37"><td class="memTemplItemLeft" align="right" valign="top">std::vector< uint8_t > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_image_tensor_generator_8hpp.xhtml#ac372cd2b257f33f29999217e1d2d8a37">PrepareImageTensor< uint8_t ></a> (const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const <a class="el" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> &normParams, unsigned int batchSize, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> &outputLayout)</td></tr> +<tr class="separator:ac372cd2b257f33f29999217e1d2d8a37"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a292c4c49fc943bfcb7ee1ce1435d4690"><td class="memTemplParams" colspan="2">template<typename ElemType > </td></tr> +<tr class="memitem:a292c4c49fc943bfcb7ee1ce1435d4690"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_image_tensor_generator_8hpp.xhtml#a292c4c49fc943bfcb7ee1ce1435d4690">WriteImageTensorImpl</a> (const std::vector< ElemType > &imageData, std::ofstream &imageTensorFile)</td></tr> +<tr class="memdesc:a292c4c49fc943bfcb7ee1ce1435d4690"><td class="mdescLeft"> </td><td class="mdescRight">Write image tensor to ofstream. <a href="#a292c4c49fc943bfcb7ee1ce1435d4690">More...</a><br /></td></tr> +<tr class="separator:a292c4c49fc943bfcb7ee1ce1435d4690"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2120283536d91fbdee0d19fff3156994"><td class="memTemplParams" colspan="2">template<> </td></tr> +<tr class="memitem:a2120283536d91fbdee0d19fff3156994"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_image_tensor_generator_8hpp.xhtml#a2120283536d91fbdee0d19fff3156994">WriteImageTensorImpl< uint8_t ></a> (const std::vector< uint8_t > &imageData, std::ofstream &imageTensorFile)</td></tr> +<tr class="separator:a2120283536d91fbdee0d19fff3156994"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Enumeration Type Documentation</h2> +<a id="a7599848540a5f43e977119c054b3563e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7599848540a5f43e977119c054b3563e">◆ </a></span>SupportedFrontend</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">enum <a class="el" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">strong</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> +<table class="fieldtable"> +<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a id="a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da"></a>Caffe </td><td class="fielddoc"></td></tr> +<tr><td class="fieldname"><a id="a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3"></a>TensorFlow </td><td class="fielddoc"></td></tr> +<tr><td class="fieldname"><a id="a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae"></a>TFLite </td><td class="fielddoc"></td></tr> +</table> + +<p class="definition">Definition at line <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00025">25</a> of file <a class="el" href="_image_tensor_generator_8hpp_source.xhtml">ImageTensorGenerator.hpp</a>.</p> +<div class="fragment"><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="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="_image_tensor_generator_8hpp_xhtml_a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3">SupportedFrontend::TensorFlow</a></div></div> +</div><!-- fragment --> +</div> +</div> +<h2 class="groupheader">Function Documentation</h2> +<a id="a572494250ece8d94b68ea490d0bf46e4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a572494250ece8d94b68ea490d0bf46e4">◆ </a></span>GetNormalizationParameters()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> GetNormalizationParameters </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a> & </td> + <td class="paramname"><em>modelFormat</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> & </td> + <td class="paramname"><em>outputType</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Get normalization parameters. </p> +<p>Note that different flavours of models and different model data types have different normalization methods. This tool currently only supports Caffe, TF and TFLite models</p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramdir">[in]</td><td class="paramname">modelFormat</td><td>One of the supported frontends </td></tr> + <tr><td class="paramdir">[in]</td><td class="paramname">outputType</td><td>Output type of the image tensor, also the type of the intended model </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00039">39</a> of file <a class="el" href="_image_tensor_generator_8hpp_source.xhtml">ImageTensorGenerator.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea4df6064eb76f848def300474b7aef0da">Caffe</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00021">NormalizationParameters::mean</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, <a class="el" href="_image_tensor_generator_8hpp.xhtml#af39456ac4838301c6fc5b44d6a57479c">PrepareImageTensor()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00020">NormalizationParameters::scale</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00022">NormalizationParameters::stddev</a>, <a class="el" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea074dd699710da0ec1eb45f13b31788e3">TensorFlow</a>, and <a class="el" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563ea35120628a2097980f88fd49246124cae">TFLite</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_image_tensor_generator_8cpp_source.xhtml#l00248">main()</a>.</p> +<div class="fragment"><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="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="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_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</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><!-- fragment --> +</div> +</div> +<a id="af39456ac4838301c6fc5b44d6a57479c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af39456ac4838301c6fc5b44d6a57479c">◆ </a></span>PrepareImageTensor()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::vector<ElemType> PrepareImageTensor </td> + <td>(</td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>imagePath</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>newWidth</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>newHeight</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> & </td> + <td class="paramname"><em>normParams</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>batchSize</em> = <code>1</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> & </td> + <td class="paramname"><em>outputLayout</em> = <code><a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Prepare raw image tensor data by loading the image from imagePath and preprocessing it. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramdir">[in]</td><td class="paramname">imagePath</td><td>Path to the image file </td></tr> + <tr><td class="paramdir">[in]</td><td class="paramname">newWidth</td><td>The new width of the output image tensor </td></tr> + <tr><td class="paramdir">[in]</td><td class="paramname">newHeight</td><td>The new height of the output image tensor </td></tr> + <tr><td class="paramdir">[in]</td><td class="paramname">normParams</td><td>Normalization parameters for the normalization of the image </td></tr> + <tr><td class="paramdir">[in]</td><td class="paramname">batchSize</td><td>Batch size </td></tr> + <tr><td class="paramdir">[in]</td><td class="paramname">outputLayout</td><td>Data layout of the output image tensor </td></tr> + </table> + </dd> +</dl> + +<p class="reference">Referenced by <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00039">GetNormalizationParameters()</a>.</p> + +</div> +</div> +<a id="affacfe95f011fce3b897b2745880f82a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#affacfe95f011fce3b897b2745880f82a">◆ </a></span>PrepareImageTensor< float >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::vector<float> <a class="el" href="_image_tensor_generator_8hpp.xhtml#af39456ac4838301c6fc5b44d6a57479c">PrepareImageTensor</a>< float > </td> + <td>(</td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>imagePath</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>newWidth</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>newHeight</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> & </td> + <td class="paramname"><em>normParams</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>batchSize</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> & </td> + <td class="paramname"><em>outputLayout</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00091">91</a> of file <a class="el" href="_image_tensor_generator_8hpp_source.xhtml">ImageTensorGenerator.hpp</a>.</p> + +<p class="reference">References <a class="el" href="class_inference_test_image.xhtml#ae7a403f69a7717c1eaae1d74b7bb7bcea773b27aa8d21604182ba90d029ad2e13">InferenceTestImage::BilinearAndNormalized</a>, <a class="el" href="_exceptions_8hpp_source.xhtml#l00192">CHECK_LOCATION</a>, <a class="el" href="_inference_test_image_8hpp_source.xhtml#l00075">InferenceTestImage::GetWidth()</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00021">NormalizationParameters::mean</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, <a class="el" href="_parser_helper_8cpp_source.xhtml#l00016">armnnUtils::NHWCToArmNN</a>, <a class="el" href="_permute_8cpp_source.xhtml#l00121">armnnUtils::Permute()</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00020">NormalizationParameters::scale</a>, and <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00022">NormalizationParameters::stddev</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_image_tensor_generator_8cpp_source.xhtml#l00248">main()</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00128">PrepareImageTensor< int >()</a>, and <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00148">PrepareImageTensor< uint8_t >()</a>.</p> +<div class="fragment"><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="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="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="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="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="_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="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="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="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ac1e8e68c74e5d1c8fd19a91a68de3cb7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac1e8e68c74e5d1c8fd19a91a68de3cb7">◆ </a></span>PrepareImageTensor< int >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::vector<int> <a class="el" href="_image_tensor_generator_8hpp.xhtml#af39456ac4838301c6fc5b44d6a57479c">PrepareImageTensor</a>< int > </td> + <td>(</td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>imagePath</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>newWidth</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>newHeight</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> & </td> + <td class="paramname"><em>normParams</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>batchSize</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> & </td> + <td class="paramname"><em>outputLayout</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00128">128</a> of file <a class="el" href="_image_tensor_generator_8hpp_source.xhtml">ImageTensorGenerator.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00091">PrepareImageTensor< float >()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_image_tensor_generator_8cpp_source.xhtml#l00248">main()</a>.</p> +<div class="fragment"><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="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><!-- fragment --> +</div> +</div> +<a id="ac372cd2b257f33f29999217e1d2d8a37"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac372cd2b257f33f29999217e1d2d8a37">◆ </a></span>PrepareImageTensor< uint8_t >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::vector<uint8_t> <a class="el" href="_image_tensor_generator_8hpp.xhtml#af39456ac4838301c6fc5b44d6a57479c">PrepareImageTensor</a>< uint8_t > </td> + <td>(</td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>imagePath</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>newWidth</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>newHeight</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="struct_normalization_parameters.xhtml">NormalizationParameters</a> & </td> + <td class="paramname"><em>normParams</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>batchSize</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> & </td> + <td class="paramname"><em>outputLayout</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00148">148</a> of file <a class="el" href="_image_tensor_generator_8hpp_source.xhtml">ImageTensorGenerator.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00091">PrepareImageTensor< float >()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_image_tensor_generator_8cpp_source.xhtml#l00248">main()</a>.</p> +<div class="fragment"><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="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><!-- fragment --> +</div> +</div> +<a id="a292c4c49fc943bfcb7ee1ce1435d4690"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a292c4c49fc943bfcb7ee1ce1435d4690">◆ </a></span>WriteImageTensorImpl()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void WriteImageTensorImpl </td> + <td>(</td> + <td class="paramtype">const std::vector< ElemType > & </td> + <td class="paramname"><em>imageData</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::ofstream & </td> + <td class="paramname"><em>imageTensorFile</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Write image tensor to ofstream. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramdir">[in]</td><td class="paramname">imageData</td><td>Image tensor data </td></tr> + <tr><td class="paramdir">[in]</td><td class="paramname">imageTensorFile</td><td>Output filestream (ofstream) to which the image tensor data is written </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00172">172</a> of file <a class="el" href="_image_tensor_generator_8hpp_source.xhtml">ImageTensorGenerator.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_image_tensor_generator_8cpp_source.xhtml#l00248">main()</a>.</p> +<div class="fragment"><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><!-- fragment --> +</div> +</div> +<a id="a2120283536d91fbdee0d19fff3156994"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2120283536d91fbdee0d19fff3156994">◆ </a></span>WriteImageTensorImpl< uint8_t >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void <a class="el" href="_image_tensor_generator_8hpp.xhtml#a292c4c49fc943bfcb7ee1ce1435d4690">WriteImageTensorImpl</a>< uint8_t > </td> + <td>(</td> + <td class="paramtype">const std::vector< uint8_t > & </td> + <td class="paramname"><em>imageData</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::ofstream & </td> + <td class="paramname"><em>imageTensorFile</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00180">180</a> of file <a class="el" href="_image_tensor_generator_8hpp_source.xhtml">ImageTensorGenerator.hpp</a>.</p> +<div class="fragment"><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><!-- fragment --> +</div> +</div> +</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="dir_db50b4cd131a46c9b297c117b868403e.xhtml">ImageTensorGenerator</a></li><li class="navelem"><a class="el" href="_image_tensor_generator_8hpp.xhtml">ImageTensorGenerator.hpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:16 for ArmNN by + <a 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