{# Copyright (c) 2016, NVIDIA CORPORATION.  All rights reserved. #}
<ul class="nav nav-tabs" id="stdnetRole">
    {% for fw in frameworks %}
    <li id="{{ fw.get_id() }}"><a href="#{{ fw.get_id() }}_standard" data-toggle="tab">{{ fw.get_name() }}</a></li>
    {% endfor %}
</ul>
<div id="network-tab-standard-contents" class="tab-pane active">
    <script>
        $('#stdnetRole li').first().addClass("active");
        $('#stdnetRole li').on('click', function(e) {
             $(this).addClass('active');
             $(this).siblings().removeClass('active');
             setFramework($(this).attr('id'));
        });
    </script>
    <table class="table">
        <tr>
            <th>Network</th>
            <th>Details</th>
            <th>Intended image size</th>
            <th></th>
        </tr>
        {% for network in form.standard_networks %}
        <tr>
            <td>{{network}} {{network.label}}</td>
            {% if network.data == 'lenet' %}
            <td>
                <a href="http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf" target="_blank">Original paper</a>
                [1998]
            </td>
            <td>28x28 (gray)</td>
            {% elif network.data == 'alexnet' %}
            <td>
                <a href="http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional" target="_blank">Original paper</a>
                [2012]
            </td>
            <td>256x256</td>
            {% elif network.data == 'vgg-16' %}
            <td>
                <a href="http://arxiv.org/abs/1409.1556" target="_blank">Original paper</a>
                [2014]
            </td>
            <td>256x256</td>
            {% elif network.data == 'googlenet' %}
            <td>
                <a href="http://arxiv.org/abs/1409.4842" target="_blank">Original paper</a>
                [2014]
            </td>
            <td>256x256</td>
            {% else %}
            <td></td><td>?</td>
            {% endif %}
            <td><a class="btn btn-sm" onClick="customizeNetwork('{{network.data}}');">Customize</a></td>
        </tr>
        {% endfor %}
    </table>
</div>
