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 <h1>Image Classification using Inception V4<a class="headerlink" href="#image-classification-using-inception-v4" title="Permalink to this headline">¶</a></h1>
 <p>In this example, we convert Inception V4 trained on Tensorflow to SINGA for image classification. Tested on SINGA version 1.1.1 with <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz">parameters pretrained by tensorflow</a>.</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 the parameter checkpoint file</p>
 <div class="highlight-default"><div class="highlight"><pre><span></span>  $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz
   $ tar xvf inception_v4.tar.gz
 </pre></div>
 </div>
 </li>
 <li><p class="first">Download <a class="reference external" href="https://github.com/BVLC/caffe/blob/master/data/ilsvrc12/get_ilsvrc_aux.sh">synset_word.txt</a> file.</p>
 </li>
 <li><p class="first">Run the program</p>
 <div class="highlight-default"><div class="highlight"><pre><span></span>  # use cpu
   $ python serve.py -C &amp;
   # use gpu
   $ python serve.py &amp;
 </pre></div>
 </div>
 </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>We first extract the parameter values from <a class="reference external" href="http://download.tensorflow.org/models/inception_v4_2016_09_09.tar.gz">Tensorflow&#8216;s checkpoint file</a> into a pickle version.
 After downloading and decompressing the checkpoint file, run the following script</p>
 <div class="highlight-default"><div class="highlight"><pre><span></span>$ python convert.py --file_name=inception_v4.ckpt
 </pre></div>
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	specific language governing permissions and limitations
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	--><div class="section" id="image-classification-using-inception-v4">
	<h1>Image Classification using Inception V4<a class="headerlink" href="#image-classification-using-inception-v4" title="Permalink to this headline">¶</a></h1>
	<p>In this example, we convert Inception V4 trained on Tensorflow to SINGA for image classification. Tested on SINGA version 1.1.1 with <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz">parameters pretrained by tensorflow</a>.</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 the parameter checkpoint file</p>
	<div class="highlight-default"><div class="highlight"><pre><span></span> $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz
	$ tar xvf inception_v4.tar.gz
	</pre></div>
	</div>
	</li>
	<li><p class="first">Download <a class="reference external" href="https://github.com/BVLC/caffe/blob/master/data/ilsvrc12/get_ilsvrc_aux.sh">synset_word.txt</a> file.</p>
	</li>
	<li><p class="first">Run the program</p>
	<div class="highlight-default"><div class="highlight"><pre><span></span> # use cpu
	$ python serve.py -C &
	# use gpu
	$ python serve.py &
	</pre></div>
	</div>
	</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>We first extract the parameter values from <a class="reference external" href="http://download.tensorflow.org/models/inception_v4_2016_09_09.tar.gz">Tensorflow‘s checkpoint file</a> into a pickle version.
	After downloading and decompressing the checkpoint file, run the following script</p>
	<div class="highlight-default"><div class="highlight"><pre><span></span>$ python convert.py --file_name=inception_v4.ckpt
	</pre></div>
	</div>
	</div>
	</div>


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