| <!DOCTYPE html> |
| |
| <!--- |
| Licensed to the Apache Software Foundation (ASF) under one |
| or more contributor license agreements. See the NOTICE file |
| distributed with this work for additional information |
| regarding copyright ownership. The ASF licenses this file |
| to you under the Apache License, Version 2.0 (the |
| "License"); you may not use this file except in compliance |
| with the License. You may obtain a copy of the License at |
| http://www.apache.org/licenses/LICENSE-2.0 |
| Unless required by applicable law or agreed to in writing, |
| software distributed under the License is distributed on an |
| "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| KIND, either express or implied. See the License for the |
| specific language governing permissions and limitations |
| under the License. |
| --> |
| |
| <html lang=" en"><head> |
| <meta charset="utf-8"> |
| <meta http-equiv="X-UA-Compatible" content="IE=edge"> |
| <meta name="viewport" content="width=device-width, initial-scale=1"> |
| <link href="/versions/1.9.1/assets/img/mxnet-icon.png" rel="icon" type="image/png"><!-- Begin Jekyll SEO tag v2.6.1 --> |
| <title>SSD Inference | Apache MXNet</title> |
| <meta name="generator" content="Jekyll v3.8.6" /> |
| <meta property="og:title" content="SSD Inference" /> |
| <meta property="og:locale" content="en_US" /> |
| <meta name="description" content="A flexible and efficient library for deep learning." /> |
| <meta property="og:description" content="A flexible and efficient library for deep learning." /> |
| <link rel="canonical" href="https://mxnet.apache.org/versions/1.9.1/api/java/docs/tutorials/ssd_inference" /> |
| <meta property="og:url" content="https://mxnet.apache.org/versions/1.9.1/api/java/docs/tutorials/ssd_inference" /> |
| <meta property="og:site_name" content="Apache MXNet" /> |
| <script type="application/ld+json"> |
| {"description":"A flexible and efficient library for deep learning.","headline":"SSD Inference","@type":"WebPage","url":"https://mxnet.apache.org/versions/1.9.1/api/java/docs/tutorials/ssd_inference","@context":"https://schema.org"}</script> |
| <!-- End Jekyll SEO tag --> |
| <link rel="stylesheet" href="/versions/1.9.1/assets/docsearch.min.css" /><link rel="stylesheet" href="/versions/1.9.1/assets/main.css"><link type="application/atom+xml" rel="alternate" href="https://mxnet.apache.org/versions/1.9.1/feed.xml" title="Apache MXNet" /><!-- Matomo --> |
| <script> |
| var _paq = window._paq = window._paq || []; |
| /* tracker methods like "setCustomDimension" should be called before "trackPageView" */ |
| /* We explicitly disable cookie tracking to avoid privacy issues */ |
| _paq.push(['disableCookies']); |
| _paq.push(['trackPageView']); |
| _paq.push(['enableLinkTracking']); |
| (function() { |
| var u="https://analytics.apache.org/"; |
| _paq.push(['setTrackerUrl', u+'matomo.php']); |
| _paq.push(['setSiteId', '23']); |
| var d=document, g=d.createElement('script'), s=d.getElementsByTagName('script')[0]; |
| g.async=true; g.src=u+'matomo.js'; s.parentNode.insertBefore(g,s); |
| })(); |
| </script> |
| <!-- End Matomo Code --> |
| |
| <script src="/versions/1.9.1/assets/js/jquery-3.3.1.min.js"></script> |
| <script src="/versions/1.9.1/assets/js/docsearch.min.js"></script><script src="/versions/1.9.1/assets/js/globalSearch.js" defer></script> |
| <script src="/versions/1.9.1/assets/js/clipboard.js" defer></script> |
| <script src="/versions/1.9.1/assets/js/copycode.js" defer></script></head> |
| <body><header class="site-header" role="banner"> |
| |
| <script> |
| $(document).ready(function () { |
| |
| // HEADER OPACITY LOGIC |
| |
| function opacity_header() { |
| var value = "rgba(4,140,204," + ($(window).scrollTop() / 300 + 0.4) + ")" |
| $('.site-header').css("background-color", value) |
| } |
| |
| $(window).scroll(function () { |
| opacity_header() |
| }) |
| opacity_header(); |
| |
| // MENU SELECTOR LOGIC |
| $('.page-link').each( function () { |
| if (window.location.href.includes(this.href)) { |
| $(this).addClass("page-current"); |
| } |
| }); |
| }) |
| </script> |
| <div class="wrapper"> |
| <a class="site-title" rel="author" href="/versions/1.9.1/"><img |
| src="/versions/1.9.1/assets/img/mxnet_logo.png" class="site-header-logo"></a> |
| <nav class="site-nav"> |
| <input type="checkbox" id="nav-trigger" class="nav-trigger"/> |
| <label for="nav-trigger"> |
| <span class="menu-icon"> |
| <svg viewBox="0 0 18 15" width="18px" height="15px"> |
| <path d="M18,1.484c0,0.82-0.665,1.484-1.484,1.484H1.484C0.665,2.969,0,2.304,0,1.484l0,0C0,0.665,0.665,0,1.484,0 h15.032C17.335,0,18,0.665,18,1.484L18,1.484z M18,7.516C18,8.335,17.335,9,16.516,9H1.484C0.665,9,0,8.335,0,7.516l0,0 c0-0.82,0.665-1.484,1.484-1.484h15.032C17.335,6.031,18,6.696,18,7.516L18,7.516z M18,13.516C18,14.335,17.335,15,16.516,15H1.484 C0.665,15,0,14.335,0,13.516l0,0c0-0.82,0.665-1.483,1.484-1.483h15.032C17.335,12.031,18,12.695,18,13.516L18,13.516z"/> |
| </svg> |
| </span> |
| </label> |
| <div class="gs-search-border"> |
| <div id="gs-search-icon"></div> |
| <form id="global-search-form"> |
| <input id="global-search" type="text" title="Search" placeholder="Search" /> |
| <div id="global-search-dropdown-container"> |
| <button class="gs-current-version btn" type="button" data-toggle="dropdown"> |
| <span id="gs-current-version-label">1.9.1</span> |
| <svg class="gs-dropdown-caret" viewBox="0 0 32 32" class="icon icon-caret-bottom" aria-hidden="true"> |
| <path class="dropdown-caret-path" d="M24 11.305l-7.997 11.39L8 11.305z"></path> |
| </svg> |
| </button> |
| <ul class="gs-opt-group gs-version-dropdown"> |
| |
| |
| <li class="gs-opt gs-versions">master</li> |
| |
| |
| |
| <li class="gs-opt gs-versions active">1.9.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.8.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.7.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.6.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.5.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.4.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.3.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.2.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.1.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.0.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">0.12.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">0.11.0</li> |
| |
| |
| </ul> |
| </div> |
| <span id="global-search-close">x</span> |
| </form> |
| </div> |
| <div class="trigger"> |
| <div id="global-search-mobile-border"> |
| <div id="gs-search-icon-mobile"></div> |
| <input id="global-search-mobile" placeholder="Search..." type="text"/> |
| <div id="global-search-dropdown-container-mobile"> |
| <button class="gs-current-version-mobile btn" type="button" data-toggle="dropdown"> |
| <svg class="gs-dropdown-caret" viewBox="0 0 32 32" class="icon icon-caret-bottom" aria-hidden="true"> |
| <path class="dropdown-caret-path" d="M24 11.305l-7.997 11.39L8 11.305z"></path> |
| </svg> |
| </button> |
| <ul class="gs-opt-group gs-version-dropdown-mobile"> |
| |
| |
| <li class="gs-opt gs-versions">master</li> |
| |
| |
| |
| <li class="gs-opt gs-versions active">1.9.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.8.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.7.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.6.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.5.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.4.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.3.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.2.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.1.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.0.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">0.12.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">0.11.0</li> |
| |
| |
| </ul> |
| </div> |
| </div> |
| <a class="page-link" href="/versions/1.9.1/get_started">Get Started</a> |
| <a class="page-link" href="/versions/1.9.1/features">Features</a> |
| <a class="page-link" href="/versions/1.9.1/ecosystem">Ecosystem</a> |
| <a class="page-link" href="/versions/1.9.1/api">Docs & Tutorials</a> |
| <a class="page-link" href="/versions/1.9.1/trusted_by">Trusted By</a> |
| <a class="page-link" href="https://github.com/apache/mxnet">GitHub</a> |
| <div class="dropdown" style="min-width:100px"> |
| <span class="dropdown-header">Apache |
| <svg class="dropdown-caret" viewBox="0 0 32 32" class="icon icon-caret-bottom" aria-hidden="true"><path class="dropdown-caret-path" d="M24 11.305l-7.997 11.39L8 11.305z"></path></svg> |
| </span> |
| <div class="dropdown-content" style="min-width:250px"> |
| <a href="https://www.apache.org/foundation/">Apache Software Foundation</a> |
| <a href="https://www.apache.org/licenses/">License</a> |
| <a href="/versions/1.9.1/api/faq/security.html">Security</a> |
| <a href="https://privacy.apache.org/policies/privacy-policy-public.html">Privacy</a> |
| <a href="https://www.apache.org/events/current-event">Events</a> |
| <a href="https://www.apache.org/foundation/sponsorship.html">Sponsorship</a> |
| <a href="https://www.apache.org/foundation/thanks.html">Thanks</a> |
| </div> |
| </div> |
| <div class="dropdown"> |
| <span class="dropdown-header">1.9.1 |
| <svg class="dropdown-caret" viewBox="0 0 32 32" class="icon icon-caret-bottom" aria-hidden="true"><path class="dropdown-caret-path" d="M24 11.305l-7.997 11.39L8 11.305z"></path></svg> |
| </span> |
| <div class="dropdown-content"> |
| <a href="/">master</a> |
| <a class="dropdown-option-active" href="/versions/1.9.1/">1.9.1</a> |
| <a href="/versions/1.8.0/">1.8.0</a> |
| <a href="/versions/1.7.0/">1.7.0</a> |
| <a href="/versions/1.6.0/">1.6.0</a> |
| <a href="/versions/1.5.0/">1.5.0</a> |
| <a href="/versions/1.4.1/">1.4.1</a> |
| <a href="/versions/1.3.1/">1.3.1</a> |
| <a href="/versions/1.2.1/">1.2.1</a> |
| <a href="/versions/1.1.0/">1.1.0</a> |
| <a href="/versions/1.0.0/">1.0.0</a> |
| <a href="/versions/0.12.1/">0.12.1</a> |
| <a href="/versions/0.11.0/">0.11.0</a> |
| </div> |
| </div> |
| </div> |
| </nav> |
| </div> |
| </header> |
| <main class="page-content" aria-label="Content"> |
| <script> |
| |
| </script> |
| <article class="post"> |
| |
| <header class="post-header wrapper"> |
| <h1 class="post-title">SSD Inference</h1> |
| <h3></h3></header> |
| |
| <div class="post-content"> |
| <div class="wrapper"> |
| <div class="row"> |
| <div class="col-3 docs-side-bar"> |
| |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| |
| |
| |
| |
| |
| |
| <div class="docs-card docs-side"> |
| <ul> |
| <div class="docs-action-btn"> |
| <a href="/versions/1.9.1/api/java.html"> <img src="/versions/1.9.1/assets/img/compass.svg" |
| class="docs-logo-docs">Java Guide <span |
| class="span-accented">›</span></a> |
| </div> |
| <div class="docs-action-btn"> |
| <a href="/versions/1.9.1/api/java/docs/tutorials"> <img |
| src="/versions/1.9.1/assets/img/video-tutorial.svg" class="docs-logo-docs">Java |
| Tutorials <span class="span-accented">›</span></a> |
| </div> |
| <div class="docs-action-btn"> |
| <a href="/versions/1.9.1/api/java/docs/api"> <img src="/versions/1.9.1/assets/img/api.svg" |
| class="docs-logo-docs">Java API Reference |
| <span class="span-accented">›</span></a> |
| </div> |
| |
| <!-- Let's show the list of tutorials --> |
| <br> |
| |
| <h3>Tutorials</h3> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| |
| <li><a href="/versions/1.9.1/api/java/docs/tutorials/mxnet_java_on_intellij">Java with IntelliJ</a></li> |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| |
| <li><a href="/versions/1.9.1/api/java/docs/tutorials/ssd_inference">SSD Inference</a></li> |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| |
| <!-- page-category --> |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| <!-- page --> |
| |
| </ul> |
| </div> |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| <!-- page --> |
| </ul> |
| </div> |
| <div class="col-9"> |
| <!--- Licensed to the Apache Software Foundation (ASF) under one --> |
| |
| <!--- or more contributor license agreements. See the NOTICE file --> |
| |
| <!--- distributed with this work for additional information --> |
| |
| <!--- regarding copyright ownership. The ASF licenses this file --> |
| |
| <!--- to you under the Apache License, Version 2.0 (the --> |
| |
| <!--- "License"); you may not use this file except in compliance --> |
| |
| <!--- with the License. You may obtain a copy of the License at --> |
| |
| <!--- http://www.apache.org/licenses/LICENSE-2.0 --> |
| |
| <!--- Unless required by applicable law or agreed to in writing, --> |
| |
| <!--- software distributed under the License is distributed on an --> |
| |
| <!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY --> |
| |
| <!--- KIND, either express or implied. See the License for the --> |
| |
| <!--- specific language governing permissions and limitations --> |
| |
| <!--- under the License. --> |
| |
| <h1 id="multi-object-detection-using-pre-trained-ssd-model-via-java-inference-apis">Multi Object Detection using pre-trained SSD Model via Java Inference APIs</h1> |
| |
| <p>This tutorial shows how to use MXNet Java Inference APIs to run inference on a pre-trained Single Shot Detector (SSD) Model.</p> |
| |
| <p>The SSD model is trained on the Pascal VOC 2012 dataset. The network is a SSD model built on Resnet50 as the base network to extract image features. The model is trained to detect the following entities (classes): ['aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog', 'horse', 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor']. For more details about the model, you can refer to the <a href="https://github.com/apache/mxnet/tree/master/example/ssd">MXNet SSD example</a>.</p> |
| |
| <h2 id="prerequisites">Prerequisites</h2> |
| |
| <p>To complete this tutorial, you need the following: |
| * <a href="mxnet_java_on_intellij">MXNet Java Setup on IntelliJ IDEA</a> (Optional) |
| * <a href="https://www.gnu.org/software/wget/">wget</a> To download model artifacts |
| * SSD Model artifacts |
| * Use the following script to get the SSD Model files : |
| <code>bash |
| data_path=/tmp/resnet50_ssd |
| mkdir -p "$data_path" |
| wget https://s3.amazonaws.com/model-server/models/resnet50_ssd/resnet50_ssd_model-symbol.json -P $data_path |
| wget https://s3.amazonaws.com/model-server/models/resnet50_ssd/resnet50_ssd_model-0000.params -P $data_path |
| wget https://s3.amazonaws.com/model-server/models/resnet50_ssd/synset.txt -P $data_path |
| </code> |
| * Test images : A few sample images to run inference on. |
| * Use the following script to download sample images : |
| <code>bash |
| image_path=/tmp/resnet50_ssd/images |
| mkdir -p "$image_path" |
| cd $image_path |
| wget https://cloud.githubusercontent.com/assets/3307514/20012567/cbb60336-a27d-11e6-93ff-cbc3f09f5c9e.jpg -O dog.jpg |
| wget https://cloud.githubusercontent.com/assets/3307514/20012563/cbb41382-a27d-11e6-92a9-18dab4fd1ad3.jpg -O person.jpg |
| </code></p> |
| |
| <p>Alternately, you can get the entire SSD Model artifacts + images in one single script from the MXNet Repository by running <a href="https://github.com/apache/mxnet/blob/master/scala-package/examples/scripts/infer/objectdetector/get_ssd_data.sh">get_ssd_data.sh script</a></p> |
| |
| <h2 id="time-to-code">Time to code!</h2> |
| |
| <p>1. Following the <a href="mxnet_java_on_intellij">MXNet Java Setup on IntelliJ IDEA</a> tutorial, in the same project <code>JavaMXNet</code>, create a new empty class called : <code>ObjectDetectionTutorial.java</code>.</p> |
| |
| <p>2. In the <code>main</code> function of <code>ObjectDetectionTutorial.java</code> define the downloaded model path and the image data paths. This is the same path where we downloaded the model artifacts and images in a previous step.</p> |
| <div class="highlight"><pre><code class="language-java" data-lang="java"><span class="nc">String</span> <span class="n">modelPathPrefix</span> <span class="o">=</span> <span class="s">"/tmp/resnet50_ssd/resnet50_ssd_model"</span><span class="o">;</span> |
| <span class="nc">String</span> <span class="n">inputImagePath</span> <span class="o">=</span> <span class="s">"/tmp/resnet50_ssd/images/dog.jpg"</span><span class="o">;</span> |
| </code></pre></div> |
| <p>3. We can run the inference code in this example on either CPU or GPU (if you have a GPU backed machine) by choosing the appropriate context.</p> |
| <div class="highlight"><pre><code class="language-java" data-lang="java"> |
| <span class="nc">List</span><span class="o"><</span><span class="nc">Context</span><span class="o">></span> <span class="n">context</span> <span class="o">=</span> <span class="n">getContext</span><span class="o">();</span> |
| <span class="o">...</span> |
| |
| <span class="kd">private</span> <span class="kd">static</span> <span class="nc">List</span><span class="o"><</span><span class="nc">Context</span><span class="o">></span> <span class="nf">getContext</span><span class="o">()</span> <span class="o">{</span> |
| <span class="nc">List</span><span class="o"><</span><span class="nc">Context</span><span class="o">></span> <span class="n">ctx</span> <span class="o">=</span> <span class="k">new</span> <span class="nc">ArrayList</span><span class="o"><>();</span> |
| <span class="n">ctx</span><span class="o">.</span><span class="na">add</span><span class="o">(</span><span class="nc">Context</span><span class="o">.</span><span class="na">cpu</span><span class="o">());</span> <span class="c1">// Choosing CPU Context here</span> |
| |
| <span class="k">return</span> <span class="n">ctx</span><span class="o">;</span> |
| <span class="o">}</span> |
| </code></pre></div> |
| <p>4. To provide an input to the model, define the input shape to the model and the Input Data Descriptor (DataDesc) as shown below :</p> |
| <div class="highlight"><pre><code class="language-java" data-lang="java"><span class="nc">Shape</span> <span class="n">inputShape</span> <span class="o">=</span> <span class="k">new</span> <span class="nc">Shape</span><span class="o">(</span><span class="k">new</span> <span class="kt">int</span><span class="o">[]</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">512</span><span class="o">,</span> <span class="mi">512</span><span class="o">});</span> |
| <span class="nc">List</span><span class="o"><</span><span class="nc">DataDesc</span><span class="o">></span> <span class="n">inputDescriptors</span> <span class="o">=</span> <span class="k">new</span> <span class="nc">ArrayList</span><span class="o"><</span><span class="nc">DataDesc</span><span class="o">>();</span> |
| <span class="n">inputDescriptors</span><span class="o">.</span><span class="na">add</span><span class="o">(</span><span class="k">new</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="nc">DType</span><span class="o">.</span><span class="na">Float32</span><span class="o">(),</span> <span class="s">"NCHW"</span><span class="o">));</span> |
| </code></pre></div> |
| <p>The input shape can be interpreted as follows : The input has a batch size of 1, with 3 RGB channels in the image, and the height and width of the image is 512 each.</p> |
| |
| <p>5. To run an actual inference on the given image, add the following lines to the <code>ObjectDetectionTutorial.java</code> class :</p> |
| <div class="highlight"><pre><code class="language-java" data-lang="java"><span class="nc">BufferedImage</span> <span class="n">img</span> <span class="o">=</span> <span class="nc">ObjectDetector</span><span class="o">.</span><span class="na">loadImageFromFile</span><span class="o">(</span><span class="n">inputImagePath</span><span class="o">);</span> |
| <span class="nc">ObjectDetector</span> <span class="n">objDet</span> <span class="o">=</span> <span class="k">new</span> <span class="nc">ObjectDetector</span><span class="o">(</span><span class="n">modelPathPrefix</span><span class="o">,</span> <span class="n">inputDescriptors</span><span class="o">,</span> <span class="n">context</span><span class="o">,</span> <span class="mi">0</span><span class="o">);</span> |
| <span class="nc">List</span><span class="o"><</span><span class="nc">List</span><span class="o"><</span><span class="nc">ObjectDetectorOutput</span><span class="o">>></span> <span class="n">output</span> <span class="o">=</span> <span class="n">objDet</span><span class="o">.</span><span class="na">imageObjectDetect</span><span class="o">(</span><span class="n">img</span><span class="o">,</span> <span class="mi">3</span><span class="o">);</span> <span class="c1">// Top 3 objects detected will be returned</span> |
| </code></pre></div> |
| <p>6. Let's piece all of the above steps together by showing the final contents of the <code>ObjectDetectionTutorial.java</code>.</p> |
| <div class="highlight"><pre><code class="language-java" data-lang="java"><span class="kn">package</span> <span class="n">mxnet</span><span class="o">;</span> |
| |
| <span class="kn">import</span> <span class="nn">org.apache.mxnet.infer.javaapi.ObjectDetector</span><span class="o">;</span> |
| <span class="kn">import</span> <span class="nn">org.apache.mxnet.infer.javaapi.ObjectDetectorOutput</span><span class="o">;</span> |
| <span class="kn">import</span> <span class="nn">org.apache.mxnet.javaapi.Context</span><span class="o">;</span> |
| <span class="kn">import</span> <span class="nn">org.apache.mxnet.javaapi.DType</span><span class="o">;</span> |
| <span class="kn">import</span> <span class="nn">org.apache.mxnet.javaapi.DataDesc</span><span class="o">;</span> |
| <span class="kn">import</span> <span class="nn">org.apache.mxnet.javaapi.Shape</span><span class="o">;</span> |
| |
| <span class="kn">import</span> <span class="nn">java.awt.image.BufferedImage</span><span class="o">;</span> |
| <span class="kn">import</span> <span class="nn">java.util.ArrayList</span><span class="o">;</span> |
| <span class="kn">import</span> <span class="nn">java.util.Arrays</span><span class="o">;</span> |
| <span class="kn">import</span> <span class="nn">java.util.List</span><span class="o">;</span> |
| |
| <span class="kd">public</span> <span class="kd">class</span> <span class="nc">ObjectDetectionTutorial</span> <span class="o">{</span> |
| |
| <span class="kd">public</span> <span class="kd">static</span> <span class="kt">void</span> <span class="nf">main</span><span class="o">(</span><span class="nc">String</span><span class="o">[]</span> <span class="n">args</span><span class="o">)</span> <span class="o">{</span> |
| |
| <span class="nc">String</span> <span class="n">modelPathPrefix</span> <span class="o">=</span> <span class="s">"/tmp/resnet50_ssd/resnet50_ssd_model"</span><span class="o">;</span> |
| |
| <span class="nc">String</span> <span class="n">inputImagePath</span> <span class="o">=</span> <span class="s">"/tmp/resnet50_ssd/images/dog.jpg"</span><span class="o">;</span> |
| |
| <span class="nc">List</span><span class="o"><</span><span class="nc">Context</span><span class="o">></span> <span class="n">context</span> <span class="o">=</span> <span class="n">getContext</span><span class="o">();</span> |
| |
| <span class="nc">Shape</span> <span class="n">inputShape</span> <span class="o">=</span> <span class="k">new</span> <span class="nc">Shape</span><span class="o">(</span><span class="k">new</span> <span class="kt">int</span><span class="o">[]</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">512</span><span class="o">,</span> <span class="mi">512</span><span class="o">});</span> |
| |
| <span class="nc">List</span><span class="o"><</span><span class="nc">DataDesc</span><span class="o">></span> <span class="n">inputDescriptors</span> <span class="o">=</span> <span class="k">new</span> <span class="nc">ArrayList</span><span class="o"><</span><span class="nc">DataDesc</span><span class="o">>();</span> |
| <span class="n">inputDescriptors</span><span class="o">.</span><span class="na">add</span><span class="o">(</span><span class="k">new</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="nc">DType</span><span class="o">.</span><span class="na">Float32</span><span class="o">(),</span> <span class="s">"NCHW"</span><span class="o">));</span> |
| |
| <span class="nc">BufferedImage</span> <span class="n">img</span> <span class="o">=</span> <span class="nc">ObjectDetector</span><span class="o">.</span><span class="na">loadImageFromFile</span><span class="o">(</span><span class="n">inputImagePath</span><span class="o">);</span> |
| <span class="nc">ObjectDetector</span> <span class="n">objDet</span> <span class="o">=</span> <span class="k">new</span> <span class="nc">ObjectDetector</span><span class="o">(</span><span class="n">modelPathPrefix</span><span class="o">,</span> <span class="n">inputDescriptors</span><span class="o">,</span> <span class="n">context</span><span class="o">,</span> <span class="mi">0</span><span class="o">);</span> |
| <span class="nc">List</span><span class="o"><</span><span class="nc">List</span><span class="o"><</span><span class="nc">ObjectDetectorOutput</span><span class="o">>></span> <span class="n">output</span> <span class="o">=</span> <span class="n">objDet</span><span class="o">.</span><span class="na">imageObjectDetect</span><span class="o">(</span><span class="n">img</span><span class="o">,</span> <span class="mi">3</span><span class="o">);</span> |
| |
| <span class="n">printOutput</span><span class="o">(</span><span class="n">output</span><span class="o">,</span> <span class="n">inputShape</span><span class="o">);</span> |
| <span class="o">}</span> |
| |
| |
| <span class="kd">private</span> <span class="kd">static</span> <span class="nc">List</span><span class="o"><</span><span class="nc">Context</span><span class="o">></span> <span class="nf">getContext</span><span class="o">()</span> <span class="o">{</span> |
| <span class="nc">List</span><span class="o"><</span><span class="nc">Context</span><span class="o">></span> <span class="n">ctx</span> <span class="o">=</span> <span class="k">new</span> <span class="nc">ArrayList</span><span class="o"><>();</span> |
| <span class="n">ctx</span><span class="o">.</span><span class="na">add</span><span class="o">(</span><span class="nc">Context</span><span class="o">.</span><span class="na">cpu</span><span class="o">());</span> |
| |
| <span class="k">return</span> <span class="n">ctx</span><span class="o">;</span> |
| <span class="o">}</span> |
| |
| <span class="kd">private</span> <span class="kd">static</span> <span class="kt">void</span> <span class="nf">printOutput</span><span class="o">(</span><span class="nc">List</span><span class="o"><</span><span class="nc">List</span><span class="o"><</span><span class="nc">ObjectDetectorOutput</span><span class="o">>></span> <span class="n">output</span><span class="o">,</span> <span class="nc">Shape</span> <span class="n">inputShape</span><span class="o">)</span> <span class="o">{</span> |
| |
| <span class="nc">StringBuilder</span> <span class="n">outputStr</span> <span class="o">=</span> <span class="k">new</span> <span class="nc">StringBuilder</span><span class="o">();</span> |
| |
| <span class="kt">int</span> <span class="n">width</span> <span class="o">=</span> <span class="n">inputShape</span><span class="o">.</span><span class="na">get</span><span class="o">(</span><span class="mi">3</span><span class="o">);</span> |
| <span class="kt">int</span> <span class="n">height</span> <span class="o">=</span> <span class="n">inputShape</span><span class="o">.</span><span class="na">get</span><span class="o">(</span><span class="mi">2</span><span class="o">);</span> |
| |
| <span class="k">for</span> <span class="o">(</span><span class="nc">List</span><span class="o"><</span><span class="nc">ObjectDetectorOutput</span><span class="o">></span> <span class="n">ele</span> <span class="o">:</span> <span class="n">output</span><span class="o">)</span> <span class="o">{</span> |
| <span class="k">for</span> <span class="o">(</span><span class="nc">ObjectDetectorOutput</span> <span class="n">i</span> <span class="o">:</span> <span class="n">ele</span><span class="o">)</span> <span class="o">{</span> |
| <span class="n">outputStr</span><span class="o">.</span><span class="na">append</span><span class="o">(</span><span class="s">"Class: "</span> <span class="o">+</span> <span class="n">i</span><span class="o">.</span><span class="na">getClassName</span><span class="o">()</span> <span class="o">+</span> <span class="s">"\n"</span><span class="o">);</span> |
| <span class="n">outputStr</span><span class="o">.</span><span class="na">append</span><span class="o">(</span><span class="s">"Probabilties: "</span> <span class="o">+</span> <span class="n">i</span><span class="o">.</span><span class="na">getProbability</span><span class="o">()</span> <span class="o">+</span> <span class="s">"\n"</span><span class="o">);</span> |
| |
| <span class="nc">List</span><span class="o"><</span><span class="nc">Float</span><span class="o">></span> <span class="n">coord</span> <span class="o">=</span> <span class="nc">Arrays</span><span class="o">.</span><span class="na">asList</span><span class="o">(</span><span class="n">i</span><span class="o">.</span><span class="na">getXMin</span><span class="o">()</span> <span class="o">*</span> <span class="n">width</span><span class="o">,</span> |
| <span class="n">i</span><span class="o">.</span><span class="na">getXMax</span><span class="o">()</span> <span class="o">*</span> <span class="n">height</span><span class="o">,</span> <span class="n">i</span><span class="o">.</span><span class="na">getYMin</span><span class="o">()</span> <span class="o">*</span> <span class="n">width</span><span class="o">,</span> <span class="n">i</span><span class="o">.</span><span class="na">getYMax</span><span class="o">()</span> <span class="o">*</span> <span class="n">height</span><span class="o">);</span> |
| <span class="nc">StringBuilder</span> <span class="n">sb</span> <span class="o">=</span> <span class="k">new</span> <span class="nc">StringBuilder</span><span class="o">();</span> |
| <span class="k">for</span> <span class="o">(</span><span class="kt">float</span> <span class="nl">c:</span> <span class="n">coord</span><span class="o">)</span> <span class="o">{</span> |
| <span class="n">sb</span><span class="o">.</span><span class="na">append</span><span class="o">(</span><span class="s">", "</span><span class="o">).</span><span class="na">append</span><span class="o">(</span><span class="n">c</span><span class="o">);</span> |
| <span class="o">}</span> |
| <span class="n">outputStr</span><span class="o">.</span><span class="na">append</span><span class="o">(</span><span class="s">"Coord:"</span> <span class="o">+</span> <span class="n">sb</span><span class="o">.</span><span class="na">substring</span><span class="o">(</span><span class="mi">2</span><span class="o">)+</span> <span class="s">"\n"</span><span class="o">);</span> |
| <span class="o">}</span> |
| <span class="o">}</span> |
| <span class="nc">System</span><span class="o">.</span><span class="na">out</span><span class="o">.</span><span class="na">println</span><span class="o">(</span><span class="n">outputStr</span><span class="o">);</span> |
| |
| <span class="o">}</span> |
| <span class="o">}</span> |
| </code></pre></div> |
| <p>7. To compile and run this code, change directories to this project's root folder, then run the following: |
| <code>bash |
| mvn clean install dependency:copy-dependencies |
| </code></p> |
| |
| <p>The build generates a new jar file in the <code>target</code> folder called <code>javaMXNet-1.0-SNAPSHOT.jar</code>.</p> |
| |
| <p>To run the ObjectDetectionTutorial.java use the following command from the project's root folder. |
| <code>bash |
| java -cp "target/javaMXNet-1.0-SNAPSHOT.jar:target/dependency/*" mxnet.ObjectDetectionTutorial |
| </code></p> |
| |
| <p>You should see a similar output being generated for the dog image that we used: |
| <code>bash |
| Class: car |
| Probabilties: 0.99847263 |
| Coord:312.21335, 72.02908, 456.01443, 150.66176 |
| Class: bicycle |
| Probabilties: 0.9047381 |
| Coord:155.9581, 149.96365, 383.83694, 418.94516 |
| Class: dog |
| Probabilties: 0.82268167 |
| Coord:83.82356, 179.14001, 206.63783, 476.78754 |
| </code></p> |
| |
| <p><img src="https://cloud.githubusercontent.com/assets/3307514/20012567/cbb60336-a27d-11e6-93ff-cbc3f09f5c9e.jpg" alt="dog_1"></p> |
| |
| <p>The results returned by the inference call translate into the regions in the image where the model detected objects.</p> |
| |
| <p><img src="https://cloud.githubusercontent.com/assets/3307514/19171063/91ec2792-8be0-11e6-983c-773bd6868fa8.png" alt="dog_2"></p> |
| |
| <h2 id="next-steps">Next Steps</h2> |
| |
| <p>For more information about MXNet Java resources, see the following:</p> |
| |
| <ul> |
| <li><a href="/versions/1.9.1/api/java">Java Inference API</a></li> |
| <li><a href="https://github.com/apache/mxnet/tree/master/scala-package/examples/src/main/java/org/apache/mxnetexamples/javaapi/infer">Java Inference Examples</a></li> |
| <li><a href="/versions/1.9.1/api">MXNet Tutorials Index</a></li> |
| </ul> |
| </div> |
| </div> |
| |
| </div> |
| </div> |
| |
| </article> |
| |
| </main><footer class="site-footer h-card"> |
| <div class="wrapper"> |
| <div class="row"> |
| <div class="col-4"> |
| <h4 class="footer-category-title">Resources</h4> |
| <ul class="contact-list"> |
| <li><a href="/versions/1.9.1/community/contribute#mxnet-dev-communications">Mailing lists</a></li> |
| <li><a href="https://cwiki.apache.org/confluence/display/MXNET/Apache+MXNet+Home">Developer Wiki</a></li> |
| <li><a href="https://issues.apache.org/jira/projects/MXNET/issues">Jira Tracker</a></li> |
| <li><a href="https://github.com/apache/mxnet/labels/Roadmap">Github Roadmap</a></li> |
| <li><a href="https://medium.com/apache-mxnet">Blog</a></li> |
| <li><a href="https://discuss.mxnet.io">Forum</a></li> |
| <li><a href="/versions/1.9.1/community/contribute">Contribute</a></li> |
| </ul> |
| </div> |
| |
| <div class="col-4"><ul class="social-media-list"><li><a href="https://github.com/apache/mxnet"><svg class="svg-icon"><use xlink:href="/versions/1.9.1/assets/minima-social-icons.svg#github"></use></svg> <span class="username">apache/mxnet</span></a></li><li><a href="https://www.twitter.com/apachemxnet"><svg class="svg-icon"><use xlink:href="/versions/1.9.1/assets/minima-social-icons.svg#twitter"></use></svg> <span class="username">apachemxnet</span></a></li><li><a href="https://youtube.com/apachemxnet"><svg class="svg-icon"><use xlink:href="/versions/1.9.1/assets/minima-social-icons.svg#youtube"></use></svg> <span class="username">apachemxnet</span></a></li></ul> |
| </div> |
| |
| <div class="col-4 footer-text"> |
| <p>A flexible and efficient library for deep learning.</p> |
| </div> |
| </div> |
| </div> |
| </footer> |
| <footer class="site-footer2"> |
| <div class="wrapper"> |
| <div class="row"> |
| <div class="col-3"> |
| <img src="/versions/1.9.1/assets/img/asf_logo.svg" class="footer-logo col-2"> |
| </div> |
| <div class="footer-bottom-warning col-9"> |
| </p><p>"Copyright © 2017-2022, The Apache Software Foundation. Licensed under the Apache License, Version 2.0. Apache MXNet, MXNet, Apache, the Apache |
| feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the |
| Apache Software Foundation."</p> |
| </div> |
| </div> |
| </div> |
| </footer> |
| |
| |
| |
| |
| </body> |
| |
| </html> |
