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| <h1 class="post-title">Create a Dataset Using RecordIO</h1> |
| <h3></h3></header> |
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| |
| <h2 id="create-a-dataset-using-recordio">Create a Dataset Using RecordIO</h2> |
| |
| <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> |
| <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 two tools for creating a RecordIO dataset.</p> |
| |
| <ul> |
| <li><a href="https://github.com/apache/mxnet/blob/v1.x/tools/im2rec.cc">im2rec.cc</a> - implements the tool using the C++ API.</li> |
| <li><a href="https://github.com/apache/mxnet/blob/v1.x/tools/im2rec.py">im2rec.py</a> - implements the tool using the Python API.</li> |
| </ul> |
| |
| <p>Both provide the same output: a RecordIO dataset.</p> |
| |
| <h3 id="prerequisites">Prerequisites</h3> |
| |
| <p>Download the data. You don't need to resize the images manually. You can use <code>im2rec</code> to resize them automatically. For details, see the "Extension: Using Multiple Labels for a Single Image," later in this topic.</p> |
| |
| <h3 id="step-1-make-an-image-list-file">Step 1. Make an Image List File</h3> |
| |
| <ul> |
| <li>Note that the im2rec.py provides a param <code>--list</code> to generate the list for you, but im2rec.cc doesn't support it.</li> |
| </ul> |
| |
| <p>After you download the data, you need to make an image list file. The format is:</p> |
| <div class="highlight"><pre><code class="language-" data-lang="">integer_image_index \t label_index \t path_to_image |
| </code></pre></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. |
| This is an example file:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash">95099 464.000000 n04467665_17283.JPEG |
| 10025081 412.000000 ILSVRC2010_val_00025082.JPEG |
| 74181 789.000000 n01915811_2739.JPEG |
| 10035553 859.000000 ILSVRC2010_val_00035554.JPEG |
| 10048727 929.000000 ILSVRC2010_val_00048728.JPEG |
| 94028 924.000000 n01980166_4956.JPEG |
| 1080682 650.000000 n11807979_571.JPEG |
| 972457 633.000000 n07723039_1627.JPEG |
| 7534 11.000000 n01630670_4486.JPEG |
| 1191261 249.000000 n12407079_5106.JPEG |
| </code></pre></div> |
| <h3 id="step-2-create-the-binary-file">Step 2. Create the Binary File</h3> |
| |
| <p>To generate a binary image, use <code>im2rec</code> in the tool folder. <code>im2rec</code> takes the path of the <code>image list file</code> you generated, the <code>root path</code> of the images, and the <code>output file path</code> as input. This process usually takes several hours, so be patient.</p> |
| |
| <p>Sample command:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash">./bin/im2rec image.lst image_root_dir output.bin <span class="nv">resize</span><span class="o">=</span>256 |
| </code></pre></div> |
| <p>For more details, run <code>./bin/im2rec</code>.</p> |
| |
| <h3 id="extension-multiple-labels-for-a-single-image">Extension: Multiple Labels for a Single Image</h3> |
| |
| <p>The <code>im2rec</code> tool and <code>mx.io.ImageRecordIter</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> |
| <li>Write the image list files as follows:</li> |
| </ol> |
| <div class="highlight"><pre><code class="language-" data-lang="">integer_image_index \t label_1 \t label_2 \t label_3 \t label_4 \t path_to_image |
| </code></pre></div> |
| <ol> |
| <li>Run <code>im2rec</code>, adding a 'label_width=4' to the command argument, for example:</li> |
| </ol> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash">./bin/im2rec image.lst image_root_dir output.bin <span class="nv">resize</span><span class="o">=</span>256 <span class="nv">label_width</span><span class="o">=</span>4 |
| </code></pre></div> |
| <ol> |
| <li>In the iterator generation code, set <code>label_width=4</code> and <code>path_imglist=<<The PATH TO YOUR image.lst>></code>, for example:</li> |
| </ol> |
| <div class="highlight"><pre><code class="language-python" data-lang="python"><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="s">"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="s">"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> |
| </code></pre></div> |
| </div> |
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