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                0.2.3
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<li class="toctree-l1"><a class="reference internal" href="description.html">Description</a></li>
<li class="toctree-l1"><a class="reference internal" href="ipfml.html">Documentation</a></li>
<li class="toctree-l1 current"><a class="current reference internal" href="#">Examples</a><ul>
<li class="toctree-l2"><a class="reference internal" href="#metrics-example">Metrics example</a></li>
<li class="toctree-l2"><a class="reference internal" href="#processing-example">Processing example</a></li>
<li class="toctree-l2"><a class="reference internal" href="#noise-filter-example">Noise filter example</a></li>
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  <div class="section" id="examples">
<h1>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h1>
<p>Some examples are already available into documentation. You can find here some others and results of use of IPFML package.</p>
<p>All examples below will use this picture.</p>
<img alt="_images/nature.jpg" src="_images/nature.jpg" />
<div class="section" id="metrics-example">
<h2>Metrics example<a class="headerlink" href="#metrics-example" title="Permalink to this headline">¶</a></h2>
<p>Using <strong>metrics</strong> module you can convert image into Lab, XYZ, SVD…</p>
<div class="code python highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">metrics</span>

<span class="n">img_path</span> <span class="o">=</span> <span class="s1">&#39;path/to/image_nature.jpg&#39;</span>
<span class="n">img</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="n">img_path</span><span class="p">)</span>

<span class="n">s</span> <span class="o">=</span> <span class="n">metrics</span><span class="o">.</span><span class="n">get_LAB_L</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>

<span class="c1"># convert result into PIL Image</span>
<span class="n">output</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">fromarray</span><span class="p">(</span><span class="n">s</span><span class="p">)</span>
<span class="n">output</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
<p>This is the generated output using only L chanel from Lab.</p>
<img alt="_images/nature_lab_l.png" src="_images/nature_lab_l.png" />
</div>
<div class="section" id="processing-example">
<h2>Processing example<a class="headerlink" href="#processing-example" title="Permalink to this headline">¶</a></h2>
<div class="code python highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">processing</span>

<span class="n">img_path</span> <span class="o">=</span> <span class="s1">&#39;path/to/image_nature.jpg&#39;</span>
<span class="n">img</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="n">img_path</span><span class="p">)</span>

<span class="n">low_bits_img</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">rgb_to_grey_low_bits</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="mi">6</span><span class="p">)</span>

<span class="n">output</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">fromarray</span><span class="p">(</span><span class="n">low_bits_img</span><span class="p">)</span>
<span class="n">output</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
<p>Now we have picture information with only the 6 low bits values.</p>
<img alt="_images/nature_low_bits_6.png" src="_images/nature_low_bits_6.png" />
</div>
<div class="section" id="noise-filter-example">
<h2>Noise filter example<a class="headerlink" href="#noise-filter-example" title="Permalink to this headline">¶</a></h2>
<div class="code python highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="kn">from</span> <span class="nn">ipfml.filters</span> <span class="k">import</span> <span class="n">noise</span> <span class="k">as</span> <span class="n">nf</span>

<span class="n">img_path</span> <span class="o">=</span> <span class="s1">&#39;path/to/image_nature.jpg&#39;</span>
<span class="n">img</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="n">img_path</span><span class="p">)</span>

<span class="c1"># set noise impact to 30</span>
<span class="n">noisy_image</span> <span class="o">=</span> <span class="n">nf</span><span class="o">.</span><span class="n">gaussian_noise</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">n</span><span class="o">=</span><span class="mi">30</span><span class="p">)</span>

<span class="n">output</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">fromarray</span><span class="p">(</span><span class="n">noisy_image</span><span class="p">)</span>
<span class="n">output</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
<p>Image result after applying gaussian noise on nature image.</p>
<img alt="_images/nature_gaussian_noise.png" src="_images/nature_gaussian_noise.png" />
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