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            <h1>Carvana Dataset for the <a href="index.html">U-Net</a> <a href="experiment.html">experiment</a></h1>
<p>You can find the download instructions <a href="https://www.kaggle.com/competitions/carvana-image-masking-challenge/data">on Kaggle</a>.</p>
<p>Save the training images inside <code  class="highlight"><span></span><span class="n">carvana</span><span class="o">/</span><span class="n">train</span></code>
 folder and the masks in <code  class="highlight"><span></span><span class="n">carvana</span><span class="o">/</span><span class="n">train_masks</span></code>
 folder.</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">16</span><span></span><span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
<span class="lineno">17</span>
<span class="lineno">18</span><span class="kn">import</span> <span class="nn">torchvision.transforms.functional</span>
<span class="lineno">19</span><span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
<span class="lineno">20</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">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</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>Carvana Dataset</h2>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">25</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>
        </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">image_path</span></code>
  is the path to the images </li>
<li><code  class="highlight"><span></span><span class="n">mask_path</span></code>
  is the path to the masks</li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">30</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>Get a dictionary of images by id </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">36</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>
        </div>
    </div>
    <div class='section' id='section-4'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-4'>#</a>
            </div>
            <p>Get a dictionary of masks by id </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">38</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>
        </div>
    </div>
    <div class='section' id='section-5'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            <p>Image ids list </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">41</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>
        </div>
    </div>
    <div class='section' id='section-6'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-6'>#</a>
            </div>
            <p>Transformations </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">44</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">45</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">46</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">47</span>        <span class="p">])</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            <h4>Get an image and its mask.</h4>
<ul><li><code  class="highlight"><span></span><span class="n">idx</span></code>
  is index of the image</li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">49</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>
        </div>
    </div>
    <div class='section' id='section-8'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            <p>Get image id </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">57</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>
        </div>
    </div>
    <div class='section' id='section-9'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-9'>#</a>
            </div>
            <p>Load image </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">59</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>
        </div>
    </div>
    <div class='section' id='section-10'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-10'>#</a>
            </div>
            <p>Transform image and convert it to a PyTorch tensor </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">61</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>
        </div>
    </div>
    <div class='section' id='section-11'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-11'>#</a>
            </div>
            <p>Load mask </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">63</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>Transform mask and convert it to a PyTorch tensor </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">65</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>The mask values were not <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>, so we scale it appropriately. </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">68</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>
        </div>
    </div>
    <div class='section' id='section-14'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-14'>#</a>
            </div>
            <p>Return the image and the mask </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">71</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>Size of the dataset</h4>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">73</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">77</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>Testing code </p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">81</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">82</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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