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<p>The neural network configuration is stored in the TensorFlow Lite format as <code>*.tfl</code> or <code>*.tflite</code> in the <code>/config</code> directory on the SD card. A model can be updated (or a new one added) by uploading the new file and activating it on the configuration page or in the config file <code>/config/config.ini</code>.</p>
<p>In order to incorporate new digits a training set of images is required. The training images needs to be collected in the final setup with the help of the <code>Digits</code> or <code>Analog</code> log settings (not to be confused with the <code>Data</code> or <code>Debug</code> log). Enable the logging of the images on the configuration page or in the config file <code>/config/config.ini</code>:</p>
<p><img alt="" src="../img/enable_log_image.jpg" /></p>
<p>Now be patient! You have to wait until it has collected an image of each digit of every type. They wil lbe placed on the SD card in the folder <code>/log/digit/</code> resp. <code>/log/analog/</code>.</p>
<p>Now be patient! You have to wait until it has collected an image of each digit of every type. They will be placed on the SD card in the folder <code>/log/digit/</code> resp. <code>/log/analog/</code>.</p>
<p>After some days, there will be a lot of images, many of them very similar. Because of this, it is important to select only a subset of them for the model training.</p>
<p>The tools shown below can help you with that.</p>
<h2 id="collecting-images-for-dig-class100dig-contana-class100">Collecting images for dig-class100/dig-cont/ana-class100</h2>