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| --><div class="section" id="image-classification-using-densenet"> |
| <h1>Image Classification using DenseNet<a class="headerlink" href="#image-classification-using-densenet" title="Permalink to this headline">¶</a></h1> |
| <p>In this example, we convert DenseNet on <a class="reference external" href="https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py">PyTorch</a> |
| to SINGA for image classification.</p> |
| <div class="section" id="instructions"> |
| <h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> |
| <ul> |
| <li><p class="first">Download one parameter checkpoint file (see below) and the synset word file of ImageNet into this folder, e.g.,</p> |
| <div class="highlight-default"><div class="highlight"><pre><span></span> $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/densenet/densenet-121.tar.gz |
| $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/synset_words.txt |
| $ tar xvf densenet-121.tar.gz |
| </pre></div> |
| </div> |
| </li> |
| <li><p class="first">Usage</p> |
| <div class="highlight-default"><div class="highlight"><pre><span></span> $ python serve.py -h |
| </pre></div> |
| </div> |
| </li> |
| <li><p class="first">Example</p> |
| <div class="highlight-default"><div class="highlight"><pre><span></span> # use cpu |
| $ python serve.py --use_cpu --parameter_file densenet-121.pickle --depth 121 & |
| # use gpu |
| $ python serve.py --parameter_file densenet-121.pickle --depth 121 & |
| </pre></div> |
| </div> |
| <p>The parameter files for the following model and depth configuration pairs are provided: |
| <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/densenet/densenet-121.tar.gz">121</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/densenet/densenet-169.tar.gz">169</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/densenet/densenet-201.tar.gz">201</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/densenet/densenet-161.tar.gz">161</a></p> |
| </li> |
| <li><p class="first">Submit images for classification</p> |
| <div class="highlight-default"><div class="highlight"><pre><span></span> $ curl -i -F image=@image1.jpg http://localhost:9999/api |
| $ curl -i -F image=@image2.jpg http://localhost:9999/api |
| $ curl -i -F image=@image3.jpg http://localhost:9999/api |
| </pre></div> |
| </div> |
| </li> |
| </ul> |
| <p>image1.jpg, image2.jpg and image3.jpg should be downloaded before executing the above commands.</p> |
| </div> |
| <div class="section" id="details"> |
| <h2>Details<a class="headerlink" href="#details" title="Permalink to this headline">¶</a></h2> |
| <p>The parameter files were converted from the pytorch via the convert.py program.</p> |
| <p>Usage:</p> |
| <div class="highlight-default"><div class="highlight"><pre><span></span>$ python convert.py -h |
| </pre></div> |
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