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- <div class="section" id="module-ipfml.processing.reconstruction">
- <span id="ipfml-processing-reconstruction"></span><h1>ipfml.processing.reconstruction<a class="headerlink" href="#module-ipfml.processing.reconstruction" title="Permalink to this headline">¶</a></h1>
- <p>Functions for reconstruction process of image using reduction/compression methods</p>
- <p class="rubric">Functions</p>
- <table border="1" class="longtable docutils">
- <colgroup>
- <col width="10%" />
- <col width="90%" />
- </colgroup>
- <tbody valign="top">
- <tr class="row-odd"><td><a class="reference internal" href="#ipfml.processing.reconstruction.fast_ica" title="ipfml.processing.reconstruction.fast_ica"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fast_ica</span></code></a>(image, components)</td>
- <td>Reconstruct an image from Fast ICA compression using specific number of components to use</td>
- </tr>
- <tr class="row-even"><td><a class="reference internal" href="#ipfml.processing.reconstruction.ipca" title="ipfml.processing.reconstruction.ipca"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ipca</span></code></a>(image, components[, _batch_size])</td>
- <td>Reconstruct an image from IPCA compression using specific number of components to use and batch size</td>
- </tr>
- <tr class="row-odd"><td><a class="reference internal" href="#ipfml.processing.reconstruction.svd" title="ipfml.processing.reconstruction.svd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">svd</span></code></a>(image, interval)</td>
- <td>Reconstruct an image from SVD compression using specific interval of Singular Values</td>
- </tr>
- </tbody>
- </table>
- <dl class="function">
- <dt id="ipfml.processing.reconstruction.fast_ica">
- <code class="descclassname">ipfml.processing.reconstruction.</code><code class="descname">fast_ica</code><span class="sig-paren">(</span><em>image</em>, <em>components</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing/reconstruction.html#fast_ica"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.reconstruction.fast_ica" title="Permalink to this definition">¶</a></dt>
- <dd><p>Reconstruct an image from Fast ICA compression using specific number of components to use</p>
- <table class="docutils field-list" frame="void" rules="none">
- <col class="field-name" />
- <col class="field-body" />
- <tbody valign="top">
- <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
- <li><strong>image</strong> – PIL Image, Numpy array or path of 3D image</li>
- <li><strong>components</strong> – Number of components used for reconstruction</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">Reconstructed image</p>
- </td>
- </tr>
- </tbody>
- </table>
- <p>Example:</p>
- <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
- <span class="gp">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
- <span class="gp">>>> </span><span class="kn">from</span> <span class="nn">ipfml.processing</span> <span class="k">import</span> <span class="n">reconstruction</span>
- <span class="gp">>>> </span><span class="n">image_values</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="s1">'./images/test_img.png'</span><span class="p">)</span>
- <span class="gp">>>> </span><span class="n">reconstructed_image</span> <span class="o">=</span> <span class="n">reconstruction</span><span class="o">.</span><span class="n">fast_ica</span><span class="p">(</span><span class="n">image_values</span><span class="p">,</span> <span class="mi">25</span><span class="p">)</span>
- <span class="gp">>>> </span><span class="n">reconstructed_image</span><span class="o">.</span><span class="n">shape</span>
- <span class="go">(200, 200)</span>
- </pre></div>
- </div>
- </dd></dl>
- <dl class="function">
- <dt id="ipfml.processing.reconstruction.ipca">
- <code class="descclassname">ipfml.processing.reconstruction.</code><code class="descname">ipca</code><span class="sig-paren">(</span><em>image</em>, <em>components</em>, <em>_batch_size=25</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing/reconstruction.html#ipca"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.reconstruction.ipca" title="Permalink to this definition">¶</a></dt>
- <dd><p>Reconstruct an image from IPCA compression using specific number of components to use and batch size</p>
- <table class="docutils field-list" frame="void" rules="none">
- <col class="field-name" />
- <col class="field-body" />
- <tbody valign="top">
- <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
- <li><strong>image</strong> – PIL Image, Numpy array or path of 3D image</li>
- <li><strong>components</strong> – Number of components used for reconstruction</li>
- <li><strong>batch_size</strong> – Batch size used for learn (default 25)</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">Reconstructed image</p>
- </td>
- </tr>
- </tbody>
- </table>
- <p>Example:</p>
- <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
- <span class="gp">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
- <span class="gp">>>> </span><span class="kn">from</span> <span class="nn">ipfml.processing</span> <span class="k">import</span> <span class="n">reconstruction</span>
- <span class="gp">>>> </span><span class="n">image_values</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="s1">'./images/test_img.png'</span><span class="p">)</span>
- <span class="gp">>>> </span><span class="n">reconstructed_image</span> <span class="o">=</span> <span class="n">reconstruction</span><span class="o">.</span><span class="n">ipca</span><span class="p">(</span><span class="n">image_values</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
- <span class="gp">>>> </span><span class="n">reconstructed_image</span><span class="o">.</span><span class="n">shape</span>
- <span class="go">(200, 200)</span>
- </pre></div>
- </div>
- </dd></dl>
- <dl class="function">
- <dt id="ipfml.processing.reconstruction.svd">
- <code class="descclassname">ipfml.processing.reconstruction.</code><code class="descname">svd</code><span class="sig-paren">(</span><em>image</em>, <em>interval</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing/reconstruction.html#svd"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.reconstruction.svd" title="Permalink to this definition">¶</a></dt>
- <dd><p>Reconstruct an image from SVD compression using specific interval of Singular Values</p>
- <table class="docutils field-list" frame="void" rules="none">
- <col class="field-name" />
- <col class="field-body" />
- <tbody valign="top">
- <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
- <li><strong>image</strong> – PIL Image, Numpy array or path of 3D image</li>
- <li><strong>interval</strong> – Interval used for reconstruction</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">Reconstructed image</p>
- </td>
- </tr>
- </tbody>
- </table>
- <p>Example:</p>
- <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
- <span class="gp">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
- <span class="gp">>>> </span><span class="kn">from</span> <span class="nn">ipfml.processing</span> <span class="k">import</span> <span class="n">reconstruction</span>
- <span class="gp">>>> </span><span class="n">image_values</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="s1">'./images/test_img.png'</span><span class="p">)</span>
- <span class="gp">>>> </span><span class="n">reconstructed_image</span> <span class="o">=</span> <span class="n">reconstruction</span><span class="o">.</span><span class="n">svd</span><span class="p">(</span><span class="n">image_values</span><span class="p">,</span> <span class="p">(</span><span class="mi">100</span><span class="p">,</span> <span class="mi">200</span><span class="p">))</span>
- <span class="gp">>>> </span><span class="n">reconstructed_image</span><span class="o">.</span><span class="n">shape</span>
- <span class="go">(200, 200)</span>
- </pre></div>
- </div>
- </dd></dl>
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