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<div class="section" id="create-a-dataset-using-recordio">
<span id="create-a-dataset-using-recordio"></span><h1>Create a Dataset Using RecordIO<a class="headerlink" href="#create-a-dataset-using-recordio" title="Permalink to this headline"></a></h1>
<p>RecordIO implements a file format for a sequence of records. We recommend storing images as records and packing them together. The benefits include:</p>
<ul class="simple">
<li>Storing images in a compact format–e.g., JPEG, for records–greatly reduces the size of the dataset on the disk.</li>
<li>Packing data together allows continuous reading on the disk.</li>
<li>RecordIO has a simple way to partition, simplifying distributed setting. We provide an example later.</li>
</ul>
<p>We provide the <a class="reference external" href="https://github.com/dmlc/mxnet/blob/master/tools/im2rec.cc">im2rec tool</a> so you can create an Image RecordIO dataset by yourself. The following walkthrough shows you how.</p>
<div class="section" id="prerequisites">
<span id="prerequisites"></span><h2>Prerequisites<a class="headerlink" href="#prerequisites" title="Permalink to this headline"></a></h2>
<p>Download the data. You don’t need to resize the images manually. You can use <code class="docutils literal"><span class="pre">im2rec</span></code> to resize them automatically. For details, see the “Extension: Using Multiple Labels for a Single Image,” later in this topic.</p>
</div>
<div class="section" id="step-1-make-an-image-list-file">
<span id="step-1-make-an-image-list-file"></span><h2>Step 1. Make an Image List File<a class="headerlink" href="#step-1-make-an-image-list-file" title="Permalink to this headline"></a></h2>
<p>After you download the data, you need to make an image list file. The format is:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">integer_image_index</span> \<span class="n">t</span> <span class="n">label_index</span> \<span class="n">t</span> <span class="n">path_to_image</span>
</pre></div>
</div>
<p>Typically, the program takes the list of names of all of the images, shuffles them, then separates them into two lists: a training filename list and a testing filename list. Write the list in the right format.</p>
<p>This is an example file:</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="m">95099</span> <span class="m">464</span> n04467665_17283.JPEG
<span class="m">10025081</span> <span class="m">412</span> ILSVRC2010_val_00025082.JPEG
<span class="m">74181</span> <span class="m">789</span> n01915811_2739.JPEG
<span class="m">10035553</span> <span class="m">859</span> ILSVRC2010_val_00035554.JPEG
<span class="m">10048727</span> <span class="m">929</span> ILSVRC2010_val_00048728.JPEG
<span class="m">94028</span> <span class="m">924</span> n01980166_4956.JPEG
<span class="m">1080682</span> <span class="m">650</span> n11807979_571.JPEG
<span class="m">972457</span> <span class="m">633</span> n07723039_1627.JPEG
<span class="m">7534</span> <span class="m">11</span> n01630670_4486.JPEG
<span class="m">1191261</span> <span class="m">249</span> n12407079_5106.JPEG
</pre></div>
</div>
</div>
<div class="section" id="step-2-create-the-binary-file">
<span id="step-2-create-the-binary-file"></span><h2>Step 2. Create the Binary File<a class="headerlink" href="#step-2-create-the-binary-file" title="Permalink to this headline"></a></h2>
<p>To generate a binary image, use <code class="docutils literal"><span class="pre">im2rec</span></code> in the tool folder. <code class="docutils literal"><span class="pre">im2rec</span></code> takes the path of the <code class="docutils literal"><span class="pre">_image</span> <span class="pre">list</span> <span class="pre">file_</span></code> you generated, the <code class="docutils literal"><span class="pre">_root</span> <span class="pre">path_</span></code> of the images, and the <code class="docutils literal"><span class="pre">_output</span> <span class="pre">file</span> <span class="pre">path_</span></code> as input. This process usually takes several hours, so be patient.</p>
<p>Sample command:</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>./bin/im2rec image.lst image_root_dir output.bin <span class="nv">resize</span><span class="o">=</span><span class="m">256</span>
</pre></div>
</div>
<p>For more details, run <code class="docutils literal"><span class="pre">./bin/im2rec</span></code>.</p>
</div>
<div class="section" id="extension-multiple-labels-for-a-single-image">
<span id="extension-multiple-labels-for-a-single-image"></span><h2>Extension: Multiple Labels for a Single Image<a class="headerlink" href="#extension-multiple-labels-for-a-single-image" title="Permalink to this headline"></a></h2>
<p>The <code class="docutils literal"><span class="pre">im2rec</span></code> tool and <code class="docutils literal"><span class="pre">mx.io.ImageRecordIter</span></code> have multi-label support for a single image.
For example, if you have four labels for a single image, you can use the following procedure to use the RecordIO tools.</p>
<ol class="simple">
<li>Write the image list files as follows:</li>
</ol>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">integer_image_index</span> \<span class="n">t</span> <span class="n">label_1</span> \<span class="n">t</span> <span class="n">label_2</span> \<span class="n">t</span> <span class="n">label_3</span> \<span class="n">t</span> <span class="n">label_4</span> \<span class="n">t</span> <span class="n">path_to_image</span>
</pre></div>
</div>
<ol class="simple">
<li>Run <code class="docutils literal"><span class="pre">im2rec</span></code>, adding a ‘label_width=4’ to the command argument, for example:</li>
</ol>
<div class="highlight-bash"><div class="highlight"><pre><span></span>./bin/im2rec image.lst image_root_dir output.bin <span class="nv">resize</span><span class="o">=</span><span class="m">256</span> <span class="nv">label_width</span><span class="o">=</span><span class="m">4</span>
</pre></div>
</div>
<ol class="simple">
<li>In the iterator generation code, set <code class="docutils literal"><span class="pre">label_width=4</span></code> and <code class="docutils literal"><span class="pre">path_imglist=<<The</span> <span class="pre">PATH</span> <span class="pre">TO</span> <span class="pre">YOUR</span> <span class="pre">image.lst>></span></code>, for example:</li>
</ol>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">dataiter</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">ImageRecordIter</span><span class="p">(</span>
<span class="n">path_imgrec</span><span class="o">=</span><span class="s2">"data/cifar/train.rec"</span><span class="p">,</span>
<span class="n">data_shape</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">28</span><span class="p">,</span><span class="mi">28</span><span class="p">),</span>
<span class="n">path_imglist</span><span class="o">=</span><span class="s2">"data/cifar/image.lst"</span><span class="p">,</span>
<span class="n">label_width</span><span class="o">=</span><span class="mi">4</span>
<span class="p">)</span>
</pre></div>
</div>
</div>
</div>
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<h3><a href="../index.html">Table Of Contents</a></h3>
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<li><a class="reference internal" href="#">Create a Dataset Using RecordIO</a><ul>
<li><a class="reference internal" href="#prerequisites">Prerequisites</a></li>
<li><a class="reference internal" href="#step-1-make-an-image-list-file">Step 1. Make an Image List File</a></li>
<li><a class="reference internal" href="#step-2-create-the-binary-file">Step 2. Create the Binary File</a></li>
<li><a class="reference internal" href="#extension-multiple-labels-for-a-single-image">Extension: Multiple Labels for a Single Image</a></li>
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