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<h1>Source code for PIL.ImageStat</h1><div class="highlight"><pre>
<span class="c">#</span>
<span class="c"># The Python Imaging Library.</span>
<span class="c"># $Id$</span>
<span class="c">#</span>
<span class="c"># global image statistics</span>
<span class="c">#</span>
<span class="c"># History:</span>
<span class="c"># 1996-04-05 fl Created</span>
<span class="c"># 1997-05-21 fl Added mask; added rms, var, stddev attributes</span>
<span class="c"># 1997-08-05 fl Added median</span>
<span class="c"># 1998-07-05 hk Fixed integer overflow error</span>
<span class="c">#</span>
<span class="c"># Notes:</span>
<span class="c"># This class shows how to implement delayed evaluation of attributes.</span>
<span class="c"># To get a certain value, simply access the corresponding attribute.</span>
<span class="c"># The __getattr__ dispatcher takes care of the rest.</span>
<span class="c">#</span>
<span class="c"># Copyright (c) Secret Labs AB 1997.</span>
<span class="c"># Copyright (c) Fredrik Lundh 1996-97.</span>
<span class="c">#</span>
<span class="c"># See the README file for information on usage and redistribution.</span>
<span class="c">#</span>
<span class="kn">import</span> <span class="nn">math</span>
<span class="kn">import</span> <span class="nn">operator</span>
<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="nb">reduce</span>
<span class="k">class</span> <span class="nc">Stat</span><span class="p">:</span>
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">image_or_list</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
<span class="k">try</span><span class="p">:</span>
<span class="k">if</span> <span class="n">mask</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">h</span> <span class="o">=</span> <span class="n">image_or_list</span><span class="o">.</span><span class="n">histogram</span><span class="p">(</span><span class="n">mask</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">h</span> <span class="o">=</span> <span class="n">image_or_list</span><span class="o">.</span><span class="n">histogram</span><span class="p">()</span>
<span class="k">except</span> <span class="ne">AttributeError</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">h</span> <span class="o">=</span> <span class="n">image_or_list</span> <span class="c"># assume it to be a histogram list</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">h</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s">"first argument must be image or list"</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">bands</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</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">h</span><span class="p">)</span> <span class="o">//</span> <span class="mi">256</span><span class="p">))</span>
<span class="k">def</span> <span class="nf">__getattr__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">id</span><span class="p">):</span>
<span class="s">"Calculate missing attribute"</span>
<span class="k">if</span> <span class="nb">id</span><span class="p">[:</span><span class="mi">4</span><span class="p">]</span> <span class="o">==</span> <span class="s">"_get"</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">AttributeError</span><span class="p">(</span><span class="nb">id</span><span class="p">)</span>
<span class="c"># calculate missing attribute</span>
<span class="n">v</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s">"_get"</span> <span class="o">+</span> <span class="nb">id</span><span class="p">)()</span>
<span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">id</span><span class="p">,</span> <span class="n">v</span><span class="p">)</span>
<span class="k">return</span> <span class="n">v</span>
<span class="k">def</span> <span class="nf">_getextrema</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="s">"Get min/max values for each band in the image"</span>
<span class="k">def</span> <span class="nf">minmax</span><span class="p">(</span><span class="n">histogram</span><span class="p">):</span>
<span class="n">n</span> <span class="o">=</span> <span class="mi">255</span>
<span class="n">x</span> <span class="o">=</span> <span class="mi">0</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="mi">256</span><span class="p">):</span>
<span class="k">if</span> <span class="n">histogram</span><span class="p">[</span><span class="n">i</span><span class="p">]:</span>
<span class="n">n</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">i</span><span class="p">)</span>
<span class="n">x</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">i</span><span class="p">)</span>
<span class="k">return</span> <span class="n">n</span><span class="p">,</span> <span class="n">x</span> <span class="c"># returns (255, 0) if there's no data in the histogram</span>
<span class="n">v</span> <span class="o">=</span> <span class="p">[]</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="mi">0</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">h</span><span class="p">),</span> <span class="mi">256</span><span class="p">):</span>
<span class="n">v</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">minmax</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">h</span><span class="p">[</span><span class="n">i</span><span class="p">:]))</span>
<span class="k">return</span> <span class="n">v</span>
<span class="k">def</span> <span class="nf">_getcount</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="s">"Get total number of pixels in each layer"</span>
<span class="n">v</span> <span class="o">=</span> <span class="p">[]</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="mi">0</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">h</span><span class="p">),</span> <span class="mi">256</span><span class="p">):</span>
<span class="n">v</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">reduce</span><span class="p">(</span><span class="n">operator</span><span class="o">.</span><span class="n">add</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">h</span><span class="p">[</span><span class="n">i</span><span class="p">:</span><span class="n">i</span><span class="o">+</span><span class="mi">256</span><span class="p">]))</span>
<span class="k">return</span> <span class="n">v</span>
<span class="k">def</span> <span class="nf">_getsum</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="s">"Get sum of all pixels in each layer"</span>
<span class="n">v</span> <span class="o">=</span> <span class="p">[]</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="mi">0</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">h</span><span class="p">),</span> <span class="mi">256</span><span class="p">):</span>
<span class="nb">sum</span> <span class="o">=</span> <span class="mf">0.0</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">256</span><span class="p">):</span>
<span class="nb">sum</span> <span class="o">+=</span> <span class="n">j</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">h</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="n">j</span><span class="p">]</span>
<span class="n">v</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">sum</span><span class="p">)</span>
<span class="k">return</span> <span class="n">v</span>
<span class="k">def</span> <span class="nf">_getsum2</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="s">"Get squared sum of all pixels in each layer"</span>
<span class="n">v</span> <span class="o">=</span> <span class="p">[]</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="mi">0</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">h</span><span class="p">),</span> <span class="mi">256</span><span class="p">):</span>
<span class="n">sum2</span> <span class="o">=</span> <span class="mf">0.0</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">256</span><span class="p">):</span>
<span class="n">sum2</span> <span class="o">+=</span> <span class="p">(</span><span class="n">j</span> <span class="o">**</span> <span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="nb">float</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">h</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="n">j</span><span class="p">])</span>
<span class="n">v</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">sum2</span><span class="p">)</span>
<span class="k">return</span> <span class="n">v</span>
<span class="k">def</span> <span class="nf">_getmean</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="s">"Get average pixel level for each layer"</span>
<span class="n">v</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">bands</span><span class="p">:</span>
<span class="n">v</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sum</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">count</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
<span class="k">return</span> <span class="n">v</span>
<span class="k">def</span> <span class="nf">_getmedian</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="s">"Get median pixel level for each layer"</span>
<span class="n">v</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">bands</span><span class="p">:</span>
<span class="n">s</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">l</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">count</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">//</span><span class="mi">2</span>
<span class="n">b</span> <span class="o">=</span> <span class="n">i</span> <span class="o">*</span> <span class="mi">256</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">256</span><span class="p">):</span>
<span class="n">s</span> <span class="o">=</span> <span class="n">s</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">h</span><span class="p">[</span><span class="n">b</span><span class="o">+</span><span class="n">j</span><span class="p">]</span>
<span class="k">if</span> <span class="n">s</span> <span class="o">></span> <span class="n">l</span><span class="p">:</span>
<span class="k">break</span>
<span class="n">v</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">j</span><span class="p">)</span>
<span class="k">return</span> <span class="n">v</span>
<span class="k">def</span> <span class="nf">_getrms</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="s">"Get RMS for each layer"</span>
<span class="n">v</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">bands</span><span class="p">:</span>
<span class="n">v</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sum2</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">count</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span>
<span class="k">return</span> <span class="n">v</span>
<span class="k">def</span> <span class="nf">_getvar</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="s">"Get variance for each layer"</span>
<span class="n">v</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">bands</span><span class="p">:</span>
<span class="n">n</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">count</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
<span class="n">v</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">sum2</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">-</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sum</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">**</span><span class="mf">2.0</span><span class="p">)</span><span class="o">/</span><span class="n">n</span><span class="p">)</span><span class="o">/</span><span class="n">n</span><span class="p">)</span>
<span class="k">return</span> <span class="n">v</span>
<span class="k">def</span> <span class="nf">_getstddev</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="s">"Get standard deviation for each layer"</span>
<span class="n">v</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">bands</span><span class="p">:</span>
<span class="n">v</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">var</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span>
<span class="k">return</span> <span class="n">v</span>
<span class="n">Global</span> <span class="o">=</span> <span class="n">Stat</span> <span class="c"># compatibility</span>
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