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<div class="title">ImageTensorGenerator </div> </div>
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<div class="textblock"><p>The <code>ImageTensorGenerator</code> is a program for pre-processing a .jpg image before generating a .raw tensor file from it.</p>
<p>Build option: To build ModelAccuracyTool, pass the following options to Cmake:</p><ul>
<li>-DBUILD_ARMNN_QUANTIZER=1</li>
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<table class="doxtable">
<tr>
<th>Cmd:</th><th></th><th></th></tr>
<tr>
<td>-h </td><td>–help </td><td>Display help messages </td></tr>
<tr>
<td>-f </td><td>–model-format </td><td>Format of the intended model file that uses the images.Different formats have different image normalization styles.Accepted values (caffe, tensorflow, tflite) </td></tr>
<tr>
<td>-i </td><td>–infile </td><td>Input image file to generate tensor from </td></tr>
<tr>
<td>-o </td><td>–outfile </td><td>Output raw tensor file path </td></tr>
<tr>
<td>-z </td><td>–output-type </td><td>The data type of the output tensors.If unset, defaults to "float" for all defined inputs. Accepted values (float, int or qasymm8) </td></tr>
<tr>
<td></td><td>–new-width </td><td>Resize image to new width. Keep original width if unspecified </td></tr>
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<td></td><td>–new-height </td><td>Resize image to new height. Keep original height if unspecified </td></tr>
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<td>-l </td><td>–layout </td><td>Output data layout, "NHWC" or "NCHW". Default value: NHWC </td></tr>
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<p>Example usage: <br />
<code>./ImageTensorGenerator -i /path/to/image/dog.jpg -o /output/path/dog.raw –new-width 224 –new-height 224</code> </p>
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