chore: import upstream snapshot with attribution

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<h1><a href="index.html"><a href="experiment.html">U-Net実験用のカルバナデータセット</a></a></h1>
<p>ダウンロード手順は <a href="https://www.kaggle.com/competitions/carvana-image-masking-challenge/data">Kaggle で確認できます</a></p>
<p><code class="highlight"><span></span><span class="n">carvana</span><span class="o">/</span><span class="n">train</span></code>
トレーニング画像をフォルダー内に保存し、<code class="highlight"><span></span><span class="n">carvana</span><span class="o">/</span><span class="n">train_masks</span></code>
マスクをフォルダーに保存します。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">16</span><span></span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
<span class="lineno">17</span><span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
<span class="lineno">18</span>
<span class="lineno">19</span><span class="kn">import</span> <span class="nn">torch.utils.data</span>
<span class="lineno">20</span><span class="kn">import</span> <span class="nn">torchvision.transforms.functional</span>
<span class="lineno">21</span><span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
<span class="lineno">22</span>
<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span></pre></div>
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<div class='section' id='section-1'>
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<div class='section-link'>
<a href='#section-1'>#</a>
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<h2>カーバナデータセット</h2>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">26</span><span class="k">class</span> <span class="nc">CarvanaDataset</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">Dataset</span><span class="p">):</span></pre></div>
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<a href='#section-2'>#</a>
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<ul><li><code class="highlight"><span></span><span class="n">image_path</span></code>
画像へのパスです</li>
<li><code class="highlight"><span></span><span class="n">mask_path</span></code>
マスクへの道です</li></ul>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">31</span> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">image_path</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span> <span class="n">mask_path</span><span class="p">:</span> <span class="n">Path</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-3'>
<div class='docs'>
<div class='section-link'>
<a href='#section-3'>#</a>
</div>
<p>ID で画像の辞書を取得</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">37</span> <span class="bp">self</span><span class="o">.</span><span class="n">images</span> <span class="o">=</span> <span class="p">{</span><span class="n">p</span><span class="o">.</span><span class="n">stem</span><span class="p">:</span> <span class="n">p</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">image_path</span><span class="o">.</span><span class="n">iterdir</span><span class="p">()}</span></pre></div>
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</div>
<div class='section' id='section-4'>
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<div class='section-link'>
<a href='#section-4'>#</a>
</div>
<p>ID でマスクの辞書を取得</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">39</span> <span class="bp">self</span><span class="o">.</span><span class="n">masks</span> <span class="o">=</span> <span class="p">{</span><span class="n">p</span><span class="o">.</span><span class="n">stem</span><span class="p">[:</span><span class="o">-</span><span class="mi">5</span><span class="p">]:</span> <span class="n">p</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">mask_path</span><span class="o">.</span><span class="n">iterdir</span><span class="p">()}</span></pre></div>
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<div class='section' id='section-5'>
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<div class='section-link'>
<a href='#section-5'>#</a>
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<p>画像IDリスト</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">42</span> <span class="bp">self</span><span class="o">.</span><span class="n">ids</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">images</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span></pre></div>
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<div class='section-link'>
<a href='#section-6'>#</a>
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<p>トランスフォーメーション</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">45</span> <span class="bp">self</span><span class="o">.</span><span class="n">transforms</span> <span class="o">=</span> <span class="n">torchvision</span><span class="o">.</span><span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span>
<span class="lineno">46</span> <span class="n">torchvision</span><span class="o">.</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">572</span><span class="p">),</span>
<span class="lineno">47</span> <span class="n">torchvision</span><span class="o">.</span><span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
<span class="lineno">48</span> <span class="p">])</span></pre></div>
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<div class='section' id='section-7'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-7'>#</a>
</div>
<h4>画像とそのマスクを入手してください。</h4>
<ul><li><code class="highlight"><span></span><span class="n">idx</span></code>
は画像のインデックスです</li></ul>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">50</span> <span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span></pre></div>
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<div class='section' id='section-8'>
<div class='docs'>
<div class='section-link'>
<a href='#section-8'>#</a>
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<p>画像 ID を取得</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">58</span> <span class="n">id_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ids</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span></pre></div>
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<div class='section' id='section-9'>
<div class='docs'>
<div class='section-link'>
<a href='#section-9'>#</a>
</div>
<p>画像を読み込む</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">60</span> <span class="n">image</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">images</span><span class="p">[</span><span class="n">id_</span><span class="p">])</span></pre></div>
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<div class='section' id='section-10'>
<div class='docs'>
<div class='section-link'>
<a href='#section-10'>#</a>
</div>
<p>画像を変換して PyTorch テンソルに変換する</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">62</span> <span class="n">image</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">transforms</span><span class="p">(</span><span class="n">image</span><span class="p">)</span></pre></div>
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<div class='section' id='section-11'>
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<div class='section-link'>
<a href='#section-11'>#</a>
</div>
<p>ロードマスク</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">64</span> <span class="n">mask</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">masks</span><span class="p">[</span><span class="n">id_</span><span class="p">])</span></pre></div>
</div>
</div>
<div class='section' id='section-12'>
<div class='docs'>
<div class='section-link'>
<a href='#section-12'>#</a>
</div>
<p>マスクを変換して PyTorch テンソルに変換する</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">66</span> <span class="n">mask</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">transforms</span><span class="p">(</span><span class="n">mask</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-13'>
<div class='docs'>
<div class='section-link'>
<a href='#section-13'>#</a>
</div>
<p>マスク値はなかったので<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">1</span></span></span></span></span>、適切にスケーリングしました。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">69</span> <span class="n">mask</span> <span class="o">=</span> <span class="n">mask</span> <span class="o">/</span> <span class="n">mask</span><span class="o">.</span><span class="n">max</span><span class="p">()</span></pre></div>
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</div>
<div class='section' id='section-14'>
<div class='docs'>
<div class='section-link'>
<a href='#section-14'>#</a>
</div>
<p>画像とマスクを返す</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">72</span> <span class="k">return</span> <span class="n">image</span><span class="p">,</span> <span class="n">mask</span></pre></div>
</div>
</div>
<div class='section' id='section-15'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-15'>#</a>
</div>
<h4>データセットのサイズ</h4>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">74</span> <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-16'>
<div class='docs'>
<div class='section-link'>
<a href='#section-16'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">78</span> <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ids</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-17'>
<div class='docs'>
<div class='section-link'>
<a href='#section-17'>#</a>
</div>
<p>テストコード</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">82</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
<span class="lineno">83</span> <span class="n">ds</span> <span class="o">=</span> <span class="n">CarvanaDataset</span><span class="p">(</span><span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">&#39;carvana&#39;</span> <span class="o">/</span> <span class="s1">&#39;train&#39;</span><span class="p">,</span> <span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">&#39;carvana&#39;</span> <span class="o">/</span> <span class="s1">&#39;train_masks&#39;</span><span class="p">)</span></pre></div>
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<h1>トレーニング <a href="index.html">U-ネット</a></h1>
<p>これにより、<a href="index.html"><a href="carvana.html">CarvanaデータセットでU-Netモデルをトレーニングします</a></a>。ダウンロード手順は <a href="https://www.kaggle.com/competitions/carvana-image-masking-challenge/data">Kaggle で確認できます</a></p>
<p><code class="highlight"><span></span><span class="n">carvana</span><span class="o">/</span><span class="n">train</span></code>
トレーニング画像をフォルダー内に保存し、<code class="highlight"><span></span><span class="n">carvana</span><span class="o">/</span><span class="n">train_masks</span></code>
マスクをフォルダーに保存します。</p>
<p>わかりやすくするために、トレーニングと検証の分割は行っていません。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">19</span><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="lineno">20</span><span class="kn">import</span> <span class="nn">torch</span>
<span class="lineno">21</span><span class="kn">import</span> <span class="nn">torch.utils.data</span>
<span class="lineno">22</span><span class="kn">import</span> <span class="nn">torchvision.transforms.functional</span>
<span class="lineno">23</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
<span class="lineno">24</span>
<span class="lineno">25</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span><span class="p">,</span> <span class="n">tracker</span><span class="p">,</span> <span class="n">experiment</span><span class="p">,</span> <span class="n">monit</span>
<span class="lineno">26</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">BaseConfigs</span>
<span class="lineno">27</span><span class="kn">from</span> <span class="nn">labml_helpers.device</span> <span class="kn">import</span> <span class="n">DeviceConfigs</span>
<span class="lineno">28</span><span class="kn">from</span> <span class="nn">labml_nn.unet.carvana</span> <span class="kn">import</span> <span class="n">CarvanaDataset</span>
<span class="lineno">29</span><span class="kn">from</span> <span class="nn">labml_nn.unet</span> <span class="kn">import</span> <span class="n">UNet</span></pre></div>
</div>
</div>
<div class='section' id='section-1'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-1'>#</a>
</div>
<h2>コンフィギュレーション</h2>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">32</span><span class="k">class</span> <span class="nc">Configs</span><span class="p">(</span><span class="n">BaseConfigs</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-2'>
<div class='docs'>
<div class='section-link'>
<a href='#section-2'>#</a>
</div>
<p>モデルをトレーニングするデバイス。<a href="https://docs.labml.ai/api/helpers.html#labml_helpers.device.DeviceConfigs"><code class="highlight"><span></span><span class="n">DeviceConfigs</span></code>
</a>使用可能な CUDA デバイスを選択するか、デフォルトで CPU に設定します</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">39</span> <span class="n">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span> <span class="o">=</span> <span class="n">DeviceConfigs</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-3'>
<div class='docs'>
<div class='section-link'>
<a href='#section-3'>#</a>
</div>
<p><a href="index.html">U-ネットモデル</a></p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">42</span> <span class="n">model</span><span class="p">:</span> <span class="n">UNet</span></pre></div>
</div>
</div>
<div class='section' id='section-4'>
<div class='docs'>
<div class='section-link'>
<a href='#section-4'>#</a>
</div>
<p>画像内のチャンネル数。<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">3</span></span></span></span></span>RGB 用です。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">45</span> <span class="n">image_channels</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">3</span></pre></div>
</div>
</div>
<div class='section' id='section-5'>
<div class='docs'>
<div class='section-link'>
<a href='#section-5'>#</a>
</div>
<p>出力マスクのチャンネル数。<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">1</span></span></span></span></span>バイナリマスク用。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">47</span> <span class="n">mask_channels</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span></pre></div>
</div>
</div>
<div class='section' id='section-6'>
<div class='docs'>
<div class='section-link'>
<a href='#section-6'>#</a>
</div>
<p>バッチサイズ</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">50</span> <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span></pre></div>
</div>
</div>
<div class='section' id='section-7'>
<div class='docs'>
<div class='section-link'>
<a href='#section-7'>#</a>
</div>
<p>学習率</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">52</span> <span class="n">learning_rate</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">2.5e-4</span></pre></div>
</div>
</div>
<div class='section' id='section-8'>
<div class='docs'>
<div class='section-link'>
<a href='#section-8'>#</a>
</div>
<p>トレーニングエポックの数</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">55</span> <span class="n">epochs</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">4</span></pre></div>
</div>
</div>
<div class='section' id='section-9'>
<div class='docs'>
<div class='section-link'>
<a href='#section-9'>#</a>
</div>
<p>データセット</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">58</span> <span class="n">dataset</span><span class="p">:</span> <span class="n">CarvanaDataset</span></pre></div>
</div>
</div>
<div class='section' id='section-10'>
<div class='docs'>
<div class='section-link'>
<a href='#section-10'>#</a>
</div>
<p>データローダー</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">60</span> <span class="n">data_loader</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span></pre></div>
</div>
</div>
<div class='section' id='section-11'>
<div class='docs'>
<div class='section-link'>
<a href='#section-11'>#</a>
</div>
<p>損失関数</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">63</span> <span class="n">loss_func</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">BCELoss</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-12'>
<div class='docs'>
<div class='section-link'>
<a href='#section-12'>#</a>
</div>
<p>バイナリ分類用のシグモイド関数</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">65</span> <span class="n">sigmoid</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sigmoid</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-13'>
<div class='docs'>
<div class='section-link'>
<a href='#section-13'>#</a>
</div>
<p>アダム・オプティマイザー</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">68</span> <span class="n">optimizer</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">Adam</span></pre></div>
</div>
</div>
<div class='section' id='section-14'>
<div class='docs'>
<div class='section-link'>
<a href='#section-14'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">70</span> <span class="k">def</span> <span class="nf">init</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-15'>
<div class='docs'>
<div class='section-link'>
<a href='#section-15'>#</a>
</div>
<p><a href="carvana.html">Carvana</a> データセットを初期化します</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">72</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataset</span> <span class="o">=</span> <span class="n">CarvanaDataset</span><span class="p">(</span><span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">&#39;carvana&#39;</span> <span class="o">/</span> <span class="s1">&#39;train&#39;</span><span class="p">,</span>
<span class="lineno">73</span> <span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">&#39;carvana&#39;</span> <span class="o">/</span> <span class="s1">&#39;train_masks&#39;</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-16'>
<div class='docs'>
<div class='section-link'>
<a href='#section-16'>#</a>
</div>
<p>モデルを初期化</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">75</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="n">UNet</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">image_channels</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_channels</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-17'>
<div class='docs'>
<div class='section-link'>
<a href='#section-17'>#</a>
</div>
<p>データローダーの作成</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">78</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_loader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dataset</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
<span class="lineno">79</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">pin_memory</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-18'>
<div class='docs'>
<div class='section-link'>
<a href='#section-18'>#</a>
</div>
<p>オプティマイザーを作成</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">81</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">learning_rate</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-19'>
<div class='docs'>
<div class='section-link'>
<a href='#section-19'>#</a>
</div>
<p>画像ロギング</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">84</span> <span class="n">tracker</span><span class="o">.</span><span class="n">set_image</span><span class="p">(</span><span class="s2">&quot;sample&quot;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-20'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-20'>#</a>
</div>
<h3>サンプル画像</h3>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">86</span> <span class="nd">@torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">()</span>
<span class="lineno">87</span> <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="o">=-</span><span class="mi">1</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-21'>
<div class='docs'>
<div class='section-link'>
<a href='#section-21'>#</a>
</div>
<p>ランダムサンプルを入手</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">93</span> <span class="n">x</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataset</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dataset</span><span class="p">))]</span></pre></div>
</div>
</div>
<div class='section' id='section-22'>
<div class='docs'>
<div class='section-link'>
<a href='#section-22'>#</a>
</div>
<p>データをデバイスに移動</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">95</span> <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-23'>
<div class='docs'>
<div class='section-link'>
<a href='#section-23'>#</a>
</div>
<p>予測マスクを取得</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">98</span> <span class="n">mask</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sigmoid</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="p">:]))</span></pre></div>
</div>
</div>
<div class='section' id='section-24'>
<div class='docs'>
<div class='section-link'>
<a href='#section-24'>#</a>
</div>
<p>画像をマスクのサイズにトリミングします</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">100</span> <span class="n">x</span> <span class="o">=</span> <span class="n">torchvision</span><span class="o">.</span><span class="n">transforms</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">center_crop</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="p">[</span><span class="n">mask</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">mask</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]])</span></pre></div>
</div>
</div>
<div class='section' id='section-25'>
<div class='docs'>
<div class='section-link'>
<a href='#section-25'>#</a>
</div>
<p>ログサンプル</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">102</span> <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="s1">&#39;sample&#39;</span><span class="p">,</span> <span class="n">x</span> <span class="o">*</span> <span class="n">mask</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-26'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-26'>#</a>
</div>
<h3>一時代を拓く列車</h3>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">104</span> <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-27'>
<div class='docs'>
<div class='section-link'>
<a href='#section-27'>#</a>
</div>
<p>データセットを繰り返し処理します。<a href="https://docs.labml.ai/api/monit.html#labml.monit.mix"><code class="highlight"><span></span><span class="n">mix</span></code>
</a><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">50</span></span></span></span></span>エポックあたりのサンプリング時間に使用します</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">112</span> <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">mask</span><span class="p">)</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">mix</span><span class="p">((</span><span class="s1">&#39;Train&#39;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_loader</span><span class="p">),</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sample</span><span class="p">,</span> <span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">50</span><span class="p">)))):</span></pre></div>
</div>
</div>
<div class='section' id='section-28'>
<div class='docs'>
<div class='section-link'>
<a href='#section-28'>#</a>
</div>
<p>グローバルステップをインクリメント</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">114</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add_global_step</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-29'>
<div class='docs'>
<div class='section-link'>
<a href='#section-29'>#</a>
</div>
<p>データをデバイスに移動</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">116</span> <span class="n">image</span><span class="p">,</span> <span class="n">mask</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">),</span> <span class="n">mask</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-30'>
<div class='docs'>
<div class='section-link'>
<a href='#section-30'>#</a>
</div>
<p>グラデーションをゼロにする</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">119</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-31'>
<div class='docs'>
<div class='section-link'>
<a href='#section-31'>#</a>
</div>
<p>予測されたマスクロジットの取得</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">121</span> <span class="n">logits</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">image</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-32'>
<div class='docs'>
<div class='section-link'>
<a href='#section-32'>#</a>
</div>
<p>ターゲットマスクをロジットのサイズにトリミングします。U-Netの畳み込み層にパディングを使わないと、ロジットのサイズは小さくなります</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">124</span> <span class="n">mask</span> <span class="o">=</span> <span class="n">torchvision</span><span class="o">.</span><span class="n">transforms</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">center_crop</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="p">[</span><span class="n">logits</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">logits</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]])</span></pre></div>
</div>
</div>
<div class='section' id='section-33'>
<div class='docs'>
<div class='section-link'>
<a href='#section-33'>#</a>
</div>
<p>損失の計算</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">126</span> <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_func</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sigmoid</span><span class="p">(</span><span class="n">logits</span><span class="p">),</span> <span class="n">mask</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-34'>
<div class='docs'>
<div class='section-link'>
<a href='#section-34'>#</a>
</div>
<p>勾配の計算</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">128</span> <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-35'>
<div class='docs'>
<div class='section-link'>
<a href='#section-35'>#</a>
</div>
<p>最適化の一歩を踏み出す</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">130</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-36'>
<div class='docs'>
<div class='section-link'>
<a href='#section-36'>#</a>
</div>
<p>損失をトラッキング</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">132</span> <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="s1">&#39;loss&#39;</span><span class="p">,</span> <span class="n">loss</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-37'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-37'>#</a>
</div>
<h3>トレーニングループ</h3>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">134</span> <span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-38'>
<div class='docs'>
<div class='section-link'>
<a href='#section-38'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">138</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">loop</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">epochs</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-39'>
<div class='docs'>
<div class='section-link'>
<a href='#section-39'>#</a>
</div>
<p>モデルのトレーニング</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">140</span> <span class="bp">self</span><span class="o">.</span><span class="n">train</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-40'>
<div class='docs'>
<div class='section-link'>
<a href='#section-40'>#</a>
</div>
<p>コンソールの新しい行</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">142</span> <span class="n">tracker</span><span class="o">.</span><span class="n">new_line</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-41'>
<div class='docs'>
<div class='section-link'>
<a href='#section-41'>#</a>
</div>
<p>モデルを保存する</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">144</span> <span class="n">experiment</span><span class="o">.</span><span class="n">save_checkpoint</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-42'>
<div class='docs'>
<div class='section-link'>
<a href='#section-42'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">147</span><span class="k">def</span> <span class="nf">main</span><span class="p">():</span></pre></div>
</div>
</div>
<div class='section' id='section-43'>
<div class='docs'>
<div class='section-link'>
<a href='#section-43'>#</a>
</div>
<p>実験を作成</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">149</span> <span class="n">experiment</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">&#39;unet&#39;</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-44'>
<div class='docs'>
<div class='section-link'>
<a href='#section-44'>#</a>
</div>
<p>構成の作成</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">152</span> <span class="n">configs</span> <span class="o">=</span> <span class="n">Configs</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-45'>
<div class='docs'>
<div class='section-link'>
<a href='#section-45'>#</a>
</div>
<p>構成を設定します。ディクショナリに値を渡すことでデフォルトをオーバーライドできます。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">155</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">configs</span><span class="p">,</span> <span class="p">{})</span></pre></div>
</div>
</div>
<div class='section' id='section-46'>
<div class='docs'>
<div class='section-link'>
<a href='#section-46'>#</a>
</div>
<p>[初期化]</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">158</span> <span class="n">configs</span><span class="o">.</span><span class="n">init</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-47'>
<div class='docs'>
<div class='section-link'>
<a href='#section-47'>#</a>
</div>
<p>保存および読み込み用のモデルを設定する</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">161</span> <span class="n">experiment</span><span class="o">.</span><span class="n">add_pytorch_models</span><span class="p">({</span><span class="s1">&#39;model&#39;</span><span class="p">:</span> <span class="n">configs</span><span class="o">.</span><span class="n">model</span><span class="p">})</span></pre></div>
</div>
</div>
<div class='section' id='section-48'>
<div class='docs'>
<div class='section-link'>
<a href='#section-48'>#</a>
</div>
<p>トレーニングループを開始して実行する</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">164</span> <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span>
<span class="lineno">165</span> <span class="n">configs</span><span class="o">.</span><span class="n">run</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-49'>
<div class='docs'>
<div class='section-link'>
<a href='#section-49'>#</a>
</div>
<p></p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">169</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
<span class="lineno">170</span> <span class="n">main</span><span class="p">()</span></pre></div>
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<h1>ユーネット</h1>
<p>これは、論文「U-Net<a href="https://papers.labml.ai/paper/1505.04597">: 生物医学画像セグメンテーションのための畳み込みネットワーク」のU-Netモデルの実装です</a></p>
<p>U-Netは収縮経路と拡張経路で構成されています。収縮経路は一連の畳み込み層とプーリング層であり、特徴マップの解像度は徐々に低下します。エクスパンシブパスとは、フィーチャマップの解像度が徐々に上がっていく一連のアップサンプリングレイヤーと畳み込みレイヤーのことです</p>
<p>拡張パスの各ステップで、縮小パスからの対応するフィーチャマップが現在のフィーチャマップと連結されます。</p>
<p><img alt="U-Net diagram from paper" src="unet.png"></p>
<p>これは、<a href="experiment.html"><a href="carvana.html">CarvanaデータセットでU-Netをトレーニングする実験のトレーニングコードです</a></a></p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">27</span><span></span><span class="kn">import</span> <span class="nn">torch</span>
<span class="lineno">28</span><span class="kn">import</span> <span class="nn">torchvision.transforms.functional</span>
<span class="lineno">29</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span></pre></div>
</div>
</div>
<div class='section' id='section-1'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-1'>#</a>
</div>
<h3>2 <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqc" style=""><span class="mord" style="">3</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">×</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style="">3</span></span></span></span></span></span> つのコンボリューションレイヤー</h3>
<p>収縮経路と膨張経路の各ステップには、<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqc" style=""><span class="mord" style="">3</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">×</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style="">3</span></span></span></span></span></span> 2つの畳み込み層があり、その後にReLU活性化が続きます。</p>
<p><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">0</span></span></span></span></span>U-Netの論文ではパディングを使用していましたが、<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord coloredeq eqf" style=""><span class="mord" style="">1</span></span></span></span></span></span>最終的なフィーチャマップがトリミングされないようにパディングを使用しています。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">32</span><span class="k">class</span> <span class="nc">DoubleConvolution</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-2'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-2'>#</a>
</div>
<ul><li><code class="highlight"><span></span><span class="n">in_channels</span></code>
は入力チャンネル数</li>
<li><code class="highlight"><span></span><span class="n">out_channels</span></code>
は出力チャンネル数</li></ul>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">43</span> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">in_channels</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-3'>
<div class='docs'>
<div class='section-link'>
<a href='#section-3'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">48</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-4'>
<div class='docs'>
<div class='section-link'>
<a href='#section-4'>#</a>
</div>
<p><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqc" style=""><span class="mord" style="">3</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">×</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style="">3</span></span></span></span></span></span>最初の畳み込み層</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">51</span> <span class="bp">self</span><span class="o">.</span><span class="n">first</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="n">in_channels</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">,</span> <span class="n">kernel_size</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="lineno">52</span> <span class="bp">self</span><span class="o">.</span><span class="n">act1</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-5'>
<div class='docs'>
<div class='section-link'>
<a href='#section-5'>#</a>
</div>
<p>2 <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqc" style=""><span class="mord" style="">3</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">×</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style="">3</span></span></span></span></span></span> 番目の畳み込み層</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">54</span> <span class="bp">self</span><span class="o">.</span><span class="n">second</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="n">out_channels</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">,</span> <span class="n">kernel_size</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="lineno">55</span> <span class="bp">self</span><span class="o">.</span><span class="n">act2</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-6'>
<div class='docs'>
<div class='section-link'>
<a href='#section-6'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">57</span> <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-7'>
<div class='docs'>
<div class='section-link'>
<a href='#section-7'>#</a>
</div>
<p>2 つのコンボリューションレイヤーとアクティベーションを適用します。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">59</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">first</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="lineno">60</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">act1</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="lineno">61</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">second</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="lineno">62</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">act2</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-8'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-8'>#</a>
</div>
<h3>ダウンサンプル</h3>
<p>収縮パスの各ステップは、<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqb" style=""><span class="mord" style="">2</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">×</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style="">2</span></span></span></span></span></span>最大プーリングレイヤーを使用して特徴マップをダウンサンプリングします。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">65</span><span class="k">class</span> <span class="nc">DownSample</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-9'>
<div class='docs'>
<div class='section-link'>
<a href='#section-9'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">73</span> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="lineno">74</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-10'>
<div class='docs'>
<div class='section-link'>
<a href='#section-10'>#</a>
</div>
<p>最大プーリング層</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">76</span> <span class="bp">self</span><span class="o">.</span><span class="n">pool</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">MaxPool2d</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-11'>
<div class='docs'>
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<a href='#section-11'>#</a>
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</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">78</span> <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
<span class="lineno">79</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">pool</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-12'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-12'>#</a>
</div>
<h3>アップサンプル</h3>
<p>広大な経路の各ステップは、アップコンボリューションで特徴マップをアップサンプリングします。<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqb" style=""><span class="mord" style="">2</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">×</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style="">2</span></span></span></span></span></span></p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">82</span><span class="k">class</span> <span class="nc">UpSample</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-13'>
<div class='docs'>
<div class='section-link'>
<a href='#section-13'>#</a>
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</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">89</span> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">in_channels</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
<span class="lineno">90</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-14'>
<div class='docs'>
<div class='section-link'>
<a href='#section-14'>#</a>
</div>
<p>アップコンボリューション</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">93</span> <span class="bp">self</span><span class="o">.</span><span class="n">up</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ConvTranspose2d</span><span class="p">(</span><span class="n">in_channels</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">,</span> <span class="n">kernel_size</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-15'>
<div class='docs'>
<div class='section-link'>
<a href='#section-15'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">95</span> <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
<span class="lineno">96</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">up</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-16'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-16'>#</a>
</div>
<h3>フィーチャマップのトリミングと連結</h3>
<p>拡張パスの各ステップで、縮小パスからの対応するフィーチャマップが現在のフィーチャマップと連結されます。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">99</span><span class="k">class</span> <span class="nc">CropAndConcat</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-17'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-17'>#</a>
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<ul><li><code class="highlight"><span></span><span class="n">x</span></code>
エクスパンシブパス内の現在のフィーチャマップ</li>
<li><code class="highlight"><span></span><span class="n">contracting_x</span></code>
契約経路からの対応する機能マップ</li></ul>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">106</span> <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">contracting_x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-18'>
<div class='docs'>
<div class='section-link'>
<a href='#section-18'>#</a>
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<p>フィーチャマップを縮小パスから現在のフィーチャマップのサイズにトリミングします</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">113</span> <span class="n">contracting_x</span> <span class="o">=</span> <span class="n">torchvision</span><span class="o">.</span><span class="n">transforms</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">center_crop</span><span class="p">(</span><span class="n">contracting_x</span><span class="p">,</span> <span class="p">[</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]])</span></pre></div>
</div>
</div>
<div class='section' id='section-19'>
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<div class='section-link'>
<a href='#section-19'>#</a>
</div>
<p>フィーチャマップを連結する</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">115</span> <span class="n">x</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">([</span><span class="n">x</span><span class="p">,</span> <span class="n">contracting_x</span><span class="p">],</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-20'>
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<div class='section-link'>
<a href='#section-20'>#</a>
</div>
<p></p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">117</span> <span class="k">return</span> <span class="n">x</span></pre></div>
</div>
</div>
<div class='section' id='section-21'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-21'>#</a>
</div>
<h2>ユーネット</h2>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">120</span><span class="k">class</span> <span class="nc">UNet</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-22'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-22'>#</a>
</div>
<ul><li><code class="highlight"><span></span><span class="n">in_channels</span></code>
入力画像のチャンネル数</li>
<li><code class="highlight"><span></span><span class="n">out_channels</span></code>
結果フィーチャマップのチャネル数</li></ul>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">124</span> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">in_channels</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-23'>
<div class='docs'>
<div class='section-link'>
<a href='#section-23'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">129</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-24'>
<div class='docs'>
<div class='section-link'>
<a href='#section-24'>#</a>
</div>
<p>収縮経路用の二重畳み込み層。<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">64</span></span></span></span></span>から始まる各ステップで機能の数が 2 倍になります</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">133</span> <span class="bp">self</span><span class="o">.</span><span class="n">down_conv</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleList</span><span class="p">([</span><span class="n">DoubleConvolution</span><span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="n">o</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">o</span> <span class="ow">in</span>
<span class="lineno">134</span> <span class="p">[(</span><span class="n">in_channels</span><span class="p">,</span> <span class="mi">64</span><span class="p">),</span> <span class="p">(</span><span class="mi">64</span><span class="p">,</span> <span class="mi">128</span><span class="p">),</span> <span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="mi">256</span><span class="p">),</span> <span class="p">(</span><span class="mi">256</span><span class="p">,</span> <span class="mi">512</span><span class="p">)]])</span></pre></div>
</div>
</div>
<div class='section' id='section-25'>
<div class='docs'>
<div class='section-link'>
<a href='#section-25'>#</a>
</div>
<p>収縮経路用のダウンサンプリング層</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">136</span> <span class="bp">self</span><span class="o">.</span><span class="n">down_sample</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleList</span><span class="p">([</span><span class="n">DownSample</span><span class="p">()</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">4</span><span class="p">)])</span></pre></div>
</div>
</div>
<div class='section' id='section-26'>
<div class='docs'>
<div class='section-link'>
<a href='#section-26'>#</a>
</div>
<p>最も低い解像度の 2 つの畳み込み層 (U の下部)。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">139</span> <span class="bp">self</span><span class="o">.</span><span class="n">middle_conv</span> <span class="o">=</span> <span class="n">DoubleConvolution</span><span class="p">(</span><span class="mi">512</span><span class="p">,</span> <span class="mi">1024</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-27'>
<div class='docs'>
<div class='section-link'>
<a href='#section-27'>#</a>
</div>
<p>広大な経路のサンプリングレイヤーをアップサンプリング。アップサンプリングを行うと、機能の数は半分になります</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">143</span> <span class="bp">self</span><span class="o">.</span><span class="n">up_sample</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleList</span><span class="p">([</span><span class="n">UpSample</span><span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="n">o</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">o</span> <span class="ow">in</span>
<span class="lineno">144</span> <span class="p">[(</span><span class="mi">1024</span><span class="p">,</span> <span class="mi">512</span><span class="p">),</span> <span class="p">(</span><span class="mi">512</span><span class="p">,</span> <span class="mi">256</span><span class="p">),</span> <span class="p">(</span><span class="mi">256</span><span class="p">,</span> <span class="mi">128</span><span class="p">),</span> <span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="mi">64</span><span class="p">)]])</span></pre></div>
</div>
</div>
<div class='section' id='section-28'>
<div class='docs'>
<div class='section-link'>
<a href='#section-28'>#</a>
</div>
<p>膨張経路用の二重畳み込み層。それらの入力は、現在のフィーチャマップと縮小パスからのフィーチャマップを連結したものです。したがって、入力フィーチャの数は、アップサンプリングによるフィーチャ数の2倍になります</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">149</span> <span class="bp">self</span><span class="o">.</span><span class="n">up_conv</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleList</span><span class="p">([</span><span class="n">DoubleConvolution</span><span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="n">o</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">o</span> <span class="ow">in</span>
<span class="lineno">150</span> <span class="p">[(</span><span class="mi">1024</span><span class="p">,</span> <span class="mi">512</span><span class="p">),</span> <span class="p">(</span><span class="mi">512</span><span class="p">,</span> <span class="mi">256</span><span class="p">),</span> <span class="p">(</span><span class="mi">256</span><span class="p">,</span> <span class="mi">128</span><span class="p">),</span> <span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="mi">64</span><span class="p">)]])</span></pre></div>
</div>
</div>
<div class='section' id='section-29'>
<div class='docs'>
<div class='section-link'>
<a href='#section-29'>#</a>
</div>
<p>レイヤーをトリミングして連結すると、広大なパスが作れます。</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">152</span> <span class="bp">self</span><span class="o">.</span><span class="n">concat</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleList</span><span class="p">([</span><span class="n">CropAndConcat</span><span class="p">()</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">4</span><span class="p">)])</span></pre></div>
</div>
</div>
<div class='section' id='section-30'>
<div class='docs'>
<div class='section-link'>
<a href='#section-30'>#</a>
</div>
<p><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqa" style=""><span class="mord" style=""><span class="mord coloredeq eqf" style="">1</span></span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">×</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style=""><span class="mord coloredeq eqf" style="">1</span></span></span></span></span></span></span>出力を生成する最後の畳み込み層</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">154</span> <span class="bp">self</span><span class="o">.</span><span class="n">final_conv</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">64</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">,</span> <span class="n">kernel_size</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-31'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-31'>#</a>
</div>
<ul><li><code class="highlight"><span></span><span class="n">x</span></code>
入力画像</li></ul>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">156</span> <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-32'>
<div class='docs'>
<div class='section-link'>
<a href='#section-32'>#</a>
</div>
<p>縮小パスの出力を収集して、後で拡張パスと連結できるようにします。</p>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">161</span> <span class="n">pass_through</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
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<p>契約経路</p>
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<div class="highlight"><pre><span class="lineno">163</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">down_conv</span><span class="p">)):</span></pre></div>
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<p>2 <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqc" style=""><span class="mord" style="">3</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">×</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style="">3</span></span></span></span></span></span> つの畳み込み層</p>
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<div class="highlight"><pre><span class="lineno">165</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">down_conv</span><span class="p">[</span><span class="n">i</span><span class="p">](</span><span class="n">x</span><span class="p">)</span></pre></div>
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<p>アウトプットを収集</p>
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<div class="highlight"><pre><span class="lineno">167</span> <span class="n">pass_through</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
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<p>ダウンサンプル</p>
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<div class="highlight"><pre><span class="lineno">169</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">down_sample</span><span class="p">[</span><span class="n">i</span><span class="p">](</span><span class="n">x</span><span class="p">)</span></pre></div>
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<p><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqc" style=""><span class="mord" style="">3</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">×</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style="">3</span></span></span></span></span></span>U-Netの下部にある2つの畳み込み層</p>
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<div class="highlight"><pre><span class="lineno">172</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">middle_conv</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
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<p>広大な道</p>
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<div class="highlight"><pre><span class="lineno">175</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">up_conv</span><span class="p">)):</span></pre></div>
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<p>アップサンプル</p>
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<div class="highlight"><pre><span class="lineno">177</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">up_sample</span><span class="p">[</span><span class="n">i</span><span class="p">](</span><span class="n">x</span><span class="p">)</span></pre></div>
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<p>コントラクトパスの出力を連結する</p>
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<div class="highlight"><pre><span class="lineno">179</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">concat</span><span class="p">[</span><span class="n">i</span><span class="p">](</span><span class="n">x</span><span class="p">,</span> <span class="n">pass_through</span><span class="o">.</span><span class="n">pop</span><span class="p">())</span></pre></div>
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<p>2 <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqc" style=""><span class="mord" style="">3</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">×</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style="">3</span></span></span></span></span></span> つの畳み込み層</p>
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<div class="highlight"><pre><span class="lineno">181</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">up_conv</span><span class="p">[</span><span class="n">i</span><span class="p">](</span><span class="n">x</span><span class="p">)</span></pre></div>
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<p><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord coloredeq eqa" style=""><span class="mord" style=""><span class="mord coloredeq eqf" style="">1</span></span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin" style="">×</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mord" style=""><span class="mord coloredeq eqf" style="">1</span></span></span></span></span></span></span>最終畳み込み層</p>
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<div class="highlight"><pre><span class="lineno">184</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">final_conv</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
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<p></p>
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<div class="highlight"><pre><span class="lineno">187</span> <span class="k">return</span> <span class="n">x</span></pre></div>
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