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| |
| <h1 id="infer-api">Infer API</h1> |
| <p>The MXNet Scala Infer API provides you with model loading and inference functionality using the MXNet Scala package.</p> |
| |
| <h2 id="prerequisites">Prerequisites</h2> |
| <p>To use the Infer API you must first install the MXNet Scala package. Instructions for this are provided in the following variations:</p> |
| <ul> |
| <li><a href="mxnet_scala_on_intellij">Tutorial for setting up a project in the IntelliJ IDE</a></li> |
| <li><a href="/versions/master/get_started/ubuntu_setup.html#install-the-mxnet-package-for-scala">Installing the MXNet Scala Package for macOS</a></li> |
| <li><a href="/versions/master/get_started/ubuntu_setup.html#install-the-mxnet-package-for-scala">Installing the MXNet Scala for Linux</a></li> |
| </ul> |
| |
| <h2 id="inference">Inference</h2> |
| <p>The Scala Infer API includes both single image and batch modes. Here is an example of running inference on a single image by using the <code class="highlighter-rouge">ImageClassifier</code> class. A complete <a href="https://github.com/apache/mxnet/blob/master/scala-package/examples/src/main/scala/org/apache/mxnetexamples/infer/imageclassifier/ImageClassifierExample.scala">image classification example</a> using ResNet-152 is provided in the <a href="https://github.com/apache/mxnet/tree/master/scala-package/examples/src/main/scala/org/apache/mxnetexamples">Scala package’s example folder</a>. This example also demonstrates inference with batches of images.</p> |
| |
| <div class="language-scala highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="k">def</span> <span class="nf">runInferenceOnSingleImage</span><span class="o">(</span><span class="n">modelPathPrefix</span><span class="k">:</span> <span class="kt">String</span><span class="o">,</span> <span class="n">inputImagePath</span><span class="k">:</span> <span class="kt">String</span><span class="o">,</span> |
| <span class="n">context</span><span class="k">:</span> <span class="kt">Array</span><span class="o">[</span><span class="kt">Context</span><span class="o">])</span><span class="k">:</span> |
| <span class="kt">IndexedSeq</span><span class="o">[</span><span class="kt">IndexedSeq</span><span class="o">[(</span><span class="kt">String</span>, <span class="kt">Float</span><span class="o">)]]</span> <span class="k">=</span> <span class="o">{</span> |
| <span class="k">val</span> <span class="nv">dType</span> <span class="k">=</span> <span class="nv">DType</span><span class="o">.</span><span class="py">Float32</span> |
| <span class="k">val</span> <span class="nv">inputShape</span> <span class="k">=</span> <span class="nc">Shape</span><span class="o">(</span><span class="mi">1</span><span class="o">,</span> <span class="mi">3</span><span class="o">,</span> <span class="mi">224</span><span class="o">,</span> <span class="mi">224</span><span class="o">)</span> |
| |
| <span class="k">val</span> <span class="nv">inputDescriptor</span> <span class="k">=</span> <span class="nc">IndexedSeq</span><span class="o">(</span><span class="nc">DataDesc</span><span class="o">(</span><span class="s">"data"</span><span class="o">,</span> <span class="n">inputShape</span><span class="o">,</span> <span class="n">dType</span><span class="o">,</span> <span class="s">"NCHW"</span><span class="o">))</span> |
| |
| <span class="c1">// Create object of ImageClassifier class</span> |
| <span class="k">val</span> <span class="nv">imgClassifier</span><span class="k">:</span> <span class="kt">ImageClassifier</span> <span class="o">=</span> <span class="k">new</span> |
| <span class="nc">ImageClassifier</span><span class="o">(</span><span class="n">modelPathPrefix</span><span class="o">,</span> <span class="n">inputDescriptor</span><span class="o">,</span> <span class="n">context</span><span class="o">)</span> |
| |
| <span class="c1">// Loading single image from file and getting BufferedImage</span> |
| <span class="k">val</span> <span class="nv">img</span> <span class="k">=</span> <span class="nv">ImageClassifier</span><span class="o">.</span><span class="py">loadImageFromFile</span><span class="o">(</span><span class="n">inputImagePath</span><span class="o">)</span> |
| |
| <span class="c1">// Running inference on single image</span> |
| <span class="k">val</span> <span class="nv">output</span> <span class="k">=</span> <span class="nv">imgClassifier</span><span class="o">.</span><span class="py">classifyImage</span><span class="o">(</span><span class="n">img</span><span class="o">,</span> <span class="nc">Some</span><span class="o">(</span><span class="mi">5</span><span class="o">))</span> |
| |
| <span class="n">output</span> |
| <span class="o">}</span> |
| </code></pre></div></div> |
| |
| <h2 id="related-resources">Related Resources</h2> |
| <ul> |
| <li><a href="/versions/master/api/scala/docs/api/#org.apache.mxnet.infer.package">Infer API Scaladocs</a></li> |
| <li><a href="https://github.com/apache/mxnet/tree/master/scala-package/examples/src/main/scala/org/apache/mxnetexamples/infer/objectdetector">Single Shot Detector Inference Example</a></li> |
| <li><a href="https://github.com/apache/mxnet/tree/master/scala-package/examples/src/main/scala/org/apache/mxnetexamples/infer/imageclassifier">Image Classification Example</a></li> |
| </ul> |
| </div> |
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