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<h1>Source code for PIL.ImageTransform</h1><div class="highlight"><pre>
<span></span><span class="c1">#</span>
<span class="c1"># The Python Imaging Library.</span>
<span class="c1"># $Id$</span>
<span class="c1">#</span>
<span class="c1"># transform wrappers</span>
<span class="c1">#</span>
<span class="c1"># History:</span>
<span class="c1"># 2002-04-08 fl Created</span>
<span class="c1">#</span>
<span class="c1"># Copyright (c) 2002 by Secret Labs AB</span>
<span class="c1"># Copyright (c) 2002 by Fredrik Lundh</span>
<span class="c1">#</span>
<span class="c1"># See the README file for information on usage and redistribution.</span>
<span class="c1">#</span>
<span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">Image</span>
<div class="viewcode-block" id="Transform"><a class="viewcode-back" href="../../PIL.html#PIL.ImageTransform.Transform">[docs]</a><span class="k">class</span> <span class="nc">Transform</span><span class="p">(</span><span class="n">Image</span><span class="o">.</span><span class="n">ImageTransformHandler</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">data</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">data</span>
<div class="viewcode-block" id="Transform.getdata"><a class="viewcode-back" href="../../PIL.html#PIL.ImageTransform.Transform.getdata">[docs]</a> <span class="k">def</span> <span class="nf">getdata</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">method</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span></div>
<div class="viewcode-block" id="Transform.transform"><a class="viewcode-back" href="../../PIL.html#PIL.ImageTransform.Transform.transform">[docs]</a> <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">image</span><span class="p">,</span> <span class="o">**</span><span class="n">options</span><span class="p">):</span>
<span class="c1"># can be overridden</span>
<span class="n">method</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">getdata</span><span class="p">()</span>
<span class="k">return</span> <span class="n">image</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">method</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="o">**</span><span class="n">options</span><span class="p">)</span></div></div>
<div class="viewcode-block" id="AffineTransform"><a class="viewcode-back" href="../../PIL.html#PIL.ImageTransform.AffineTransform">[docs]</a><span class="k">class</span> <span class="nc">AffineTransform</span><span class="p">(</span><span class="n">Transform</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Define an affine image transform.</span>
<span class="sd"> This function takes a 6-tuple (a, b, c, d, e, f) which contain the first</span>
<span class="sd"> two rows from an affine transform matrix. For each pixel (x, y) in the</span>
<span class="sd"> output image, the new value is taken from a position (a x + b y + c,</span>
<span class="sd"> d x + e y + f) in the input image, rounded to nearest pixel.</span>
<span class="sd"> This function can be used to scale, translate, rotate, and shear the</span>
<span class="sd"> original image.</span>
<span class="sd"> See :py:meth:`~PIL.Image.Image.transform`</span>
<span class="sd"> :param matrix: A 6-tuple (a, b, c, d, e, f) containing the first two rows</span>
<span class="sd"> from an affine transform matrix.</span>
<span class="sd"> """</span>
<span class="n">method</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">AFFINE</span></div>
<div class="viewcode-block" id="ExtentTransform"><a class="viewcode-back" href="../../PIL.html#PIL.ImageTransform.ExtentTransform">[docs]</a><span class="k">class</span> <span class="nc">ExtentTransform</span><span class="p">(</span><span class="n">Transform</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Define a transform to extract a subregion from an image.</span>
<span class="sd"> Maps a rectangle (defined by two corners) from the image to a rectangle of</span>
<span class="sd"> the given size. The resulting image will contain data sampled from between</span>
<span class="sd"> the corners, such that (x0, y0) in the input image will end up at (0,0) in</span>
<span class="sd"> the output image, and (x1, y1) at size.</span>
<span class="sd"> This method can be used to crop, stretch, shrink, or mirror an arbitrary</span>
<span class="sd"> rectangle in the current image. It is slightly slower than crop, but about</span>
<span class="sd"> as fast as a corresponding resize operation.</span>
<span class="sd"> See :py:meth:`~PIL.Image.Image.transform`</span>
<span class="sd"> :param bbox: A 4-tuple (x0, y0, x1, y1) which specifies two points in the</span>
<span class="sd"> input image's coordinate system. See :ref:`coordinate-system`.</span>
<span class="sd"> """</span>
<span class="n">method</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">EXTENT</span></div>
<div class="viewcode-block" id="QuadTransform"><a class="viewcode-back" href="../../PIL.html#PIL.ImageTransform.QuadTransform">[docs]</a><span class="k">class</span> <span class="nc">QuadTransform</span><span class="p">(</span><span class="n">Transform</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Define a quad image transform.</span>
<span class="sd"> Maps a quadrilateral (a region defined by four corners) from the image to a</span>
<span class="sd"> rectangle of the given size.</span>
<span class="sd"> See :py:meth:`~PIL.Image.Image.transform`</span>
<span class="sd"> :param xy: An 8-tuple (x0, y0, x1, y1, x2, y2, x3, y3) which contain the</span>
<span class="sd"> upper left, lower left, lower right, and upper right corner of the</span>
<span class="sd"> source quadrilateral.</span>
<span class="sd"> """</span>
<span class="n">method</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">QUAD</span></div>
<div class="viewcode-block" id="MeshTransform"><a class="viewcode-back" href="../../PIL.html#PIL.ImageTransform.MeshTransform">[docs]</a><span class="k">class</span> <span class="nc">MeshTransform</span><span class="p">(</span><span class="n">Transform</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Define a mesh image transform. A mesh transform consists of one or more</span>
<span class="sd"> individual quad transforms.</span>
<span class="sd"> See :py:meth:`~PIL.Image.Image.transform`</span>
<span class="sd"> :param data: A list of (bbox, quad) tuples.</span>
<span class="sd"> """</span>
<span class="n">method</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">MESH</span></div>
</pre></div>
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