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18px;">具體來說，測試三個數據集：Cityscapes、Pascal VOC 2012和Camvid，輸入尺寸如下：</span></p><p><span style="font-size: 18px;"><br/></span></p><p style="text-align: center;"><img style="max-width:100%!important;height:auto!important;max-width:100%!important;height:auto;" src="/uploads/ueditor/20220627/3-22062G04225631.png" title="3-22062G04225631.png" alt="3-22062G04225631.png"/></p><p><span style="font-size: 18px;"><br/></span></p><p><span style="font-size: 18px;">測試四個骨架網絡：MobileNet V2、Xception-65、ResNet-50和ResNet-101；訓練 batch size 均設置為 16. 訓練時分別訓練 40k/30k/6k 個iteration，采用單尺度進行測試；</span><br/></p><p><br/></p><p><strong><span style="font-size: 20px;">測試環境</span></strong></p><p><strong><span style="font-size: 20px;"><br/></span></strong></p><p><img style="max-width:100%!important;height:auto!important;max-width:100%!important;height:auto;" src="/uploads/ueditor/20220627/3-22062G04303X3.png" title="3-22062G04303X3.png" alt="3-22062G04303X3.png"/></p><p><strong><span style="font-size: 20px;"><br/></span></strong></p><p><strong><span style="font-size: 20px;">安裝步驟</span></strong></p><p><strong><span style="font-size: 20px;"><br/></span></strong></p><p><span style="font-size: 18px;">1.<span style="font-size: 18px; white-space: pre;"></span>安裝 anaconda 環境并且在命令行中輸入命令安裝；</span></p><p><br/></p><p><span style="font-size: 18px; color: rgb(255, 0, 0);">bash Anaconda3-5.0.1-Linux-x86_64.sh</span></p><p><span style="font-size: 18px; color: rgb(255, 0, 0);">gedit ~/.bashrc</span></p><p><span style="font-size: 18px; color: rgb(255, 0, 0);">export PATH=$PATH:/home/omnisky/anaconda3/bin</span></p><p><br/></p><p><span style="font-size: 18px;">2.<span style="font-size: 18px; white-space: pre;"></span>配置 python 環境，安裝 pytorch；</span></p><p><br/></p><p><span style="font-size: 18px; color: rgb(255, 0, 0);">conda create -n torch11 python=3.9</span></p><p><span style="font-size: 18px; color: rgb(255, 0, 0);">conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch</span></p><p><br/></p><p><span style="font-size: 18px;">3.<span style="font-size: 18px; white-space: pre;"></span>下載數據集并進行必要路徑配置；</span></p><p><br/></p><p><span style="font-size: 18px;">Cityscapes Dataset – Semantic Understanding of Urban Street Scenes</span></p><p><span style="font-size: 18px;">（cityscapes-dataset.com）</span></p><p><br/></p><p><span style="font-size: 18px;">4.<span style="font-size: 18px; white-space: pre;"></span>克隆 GitHub 語義分割開源項目 git@github.com:zhizhangxian/sssegmentation.git.并且配置相關環境</span></p><p><br/></p><p><span style="font-size: 18px; color: rgb(255, 0, 0);">pip install -r requirements.txt</span></p><p><br/></p><p><span style="font-size: 18px;">5.<span style="font-size: 18px; white-space: pre;"></span>運行訓練和測試代碼</span></p><p><br/></p><p><span style="font-size: 18px; color: rgb(255, 0, 0);">bash job.sh</span></p><p><span style="font-size: 18px; color: rgb(255, 0, 0);">bash test.sh</span></p><p><strong><span style="color: rgb(255, 0, 0); font-size: 20px;"><br/></span></strong></p><p><strong><span style="font-size: 20px;">測試結果</span></strong></p><p><strong><span style="font-size: 20px;"><br/></span></strong></p><p style="text-align: center;"><span style="font-size: 18px;">各個數據集和不同骨架網絡的 Deeplab V3 Plus 性能（mIOU（%））</span></p><p><br/></p><p style="text-align: center;"><img style="max-width:100%!important;height:auto!important;max-width:100%!important;height:auto;" src="/uploads/ueditor/20220627/3-22062G04425K8.png" title="3-22062G04425K8.png" alt="3-22062G04425K8.png"/></p><p><strong><span style="font-size: 20px;"><br/></span></strong></p><p><strong><span style="font-size: 20px;">測試結論</span></strong></p><p><strong><span style="font-size: 20px;"><br/></span></strong></p><p><span style="font-size: 18px;">1.<span style="font-size: 18px; white-space: pre;"></span>在數據集 Pascal VOC 上 Xception 取得了比 ResNet 更好的表現；</span></p><p><span style="font-size: 18px;">2.<span style="font-size: 18px; white-space: pre;"></span>在數據集 Cityscapes 上，ResNet 系列的分割性能比較好，以 ResNet-101 最佳；</span></p><p><span style="font-size: 18px;">3.<span style="font-size: 18px; white-space: pre;"></span>Camvids 數據集存在較大的過擬合問題。所以性能和其他 SOTA 結果相比存在不足；</span></p><p><br/></p> </div> <div class="pages_article"> <a href="/xwdt/402.html" title="語義分割基準數據集" class="pre"> 上一篇：語義分割基準數據集</span> </a>  <a href="/xwdt/408.html" title="工作站上的高速公路————nvlink 橋接器測試報告" class="next"> 下一篇：工作站上的高速公路————nvlink 橋接器測試報告</span> </a> </div> </div> </div> </div> </div> <div class="footer"> <div class="container"> <div class="top"> <div class="ft_nav"> <a href="index.html" class="ft_logo"><img src="/template/pc/images/ft_logo.png"></a> <div class="ft_nav_ul"> <ul> <li><a href="/">首頁</a></li> <li><a href="/cpzx/">產品中心</a></li> <li><a href="/xwdt/">新聞動態</a></li> <li><a href="http://www.9998978.com/kxjs/">解決方案</a></li> <li><a href="http://www.9998978.com/cssq/">測試中心</a></li> <li><a href="http://www.9998978.com/gsjs/">關于容天</a></li> </ul> </div> </div> <div class="ft_mesg"> <p 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