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  <div class="vevent h-event"> <h1 class="summary p-name">Using Gap Framework for Preparing Images for Computer Vision w/ Andrew Ferlitsch</h1> <div class='date'><time class="dtstart dt-start" title="2018-08-08T18:00:00" datetime="2018-08-08T18:00:00">Wednesday, August 8, 2018 from 6</time>–<time class="dtend dt-end" title="2018-08-08T20:00:00" datetime="2018-08-08T20:00:00">8pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202395744'><span class='fn org p-name'>Tura.io</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">2828 Southwest Corbett Avenue</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">OR</span> <span class="postal-code p-postal-code">97201</span> <div class="country-name p-country-name">US</div> (<a href='https://maps.google.com/maps?q=2828%20Southwest%20Corbett%20Avenue,%20Portland%20OR%2097201%20US'>map</a>) </div> </div> <div class="description p-description"> <p>This will be a hands on Python and computer vision machine learning so bring a laptop. We will be using the Fruits360 dataset from Kaggle to demonstrate how to prepare images for a variety of computer vision methods. The Gap framework uses a OOP style interface which should be familiar to application developers. Andy will cover how to use the framework to preprocess images, store/retrieve, regularization and mini-batch generation.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://www.meetup.com/Portland-Deep-Learning/events/252497753/">Website</a></li> </ul> </div>