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- <h1>All modules for which code is available</h1>
-<ul><li><a href="navipy/database.html">navipy.database</a></li>
-<li><a href="navipy/processing/mcode.html">navipy.processing.mcode</a></li>
-<li><a href="navipy/processing/pcode.html">navipy.processing.pcode</a></li>
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-
- <h1>Source code for processing</h1><div class="highlight"><pre>
-<span></span><span class="sd">"""</span>
-<span class="sd">The scene processing part of the toolbox defines methodes</span>
-<span class="sd">to transform an image into a place code in the sense</span>
-<span class="sd">of Basten and Mallot (2010).</span>
-
-<span class="sd">The scene is either</span>
-
-<span class="sd">* a 4d numpy array, used when the image is a equirectangular \</span>
-<span class="sd">projection, i.e. a panoramic image.</span>
-<span class="sd">* a 3d numpy array, used when the viewing direction can not \</span>
-<span class="sd">be mapped/projected on a regular image (e.g. insect eye).</span>
-
-<span class="sd">We thus define the following for a scene:</span>
-
-<span class="sd">image based scene (IBS)</span>
-<span class="sd"> A classical image. Each pixel is viewed in a direction</span>
-<span class="sd"> (elevation,azimuth) in a regular manner.</span>
-<span class="sd"> In that case the scene is a 4d numpy array</span>
-<span class="sd"> [elevation-index,azimuth-index,channel-index,1].</span>
-
-<span class="sd">Omatidium based scene (OBS)</span>
-<span class="sd"> In an ommatidia based scene, the viewing direction</span>
-<span class="sd"> do not need to be regularally spaced.</span>
-<span class="sd"> In that case the scene is a 3d numpy array</span>
-<span class="sd"> [ommatidia-index, channel-index,1].</span>
-
-<span class="sd">By extension a place-code is either image based or ommatidium based.</span>
-<span class="sd">The number of dimension of an ib-place-code is always 4, and of an</span>
-<span class="sd">ob-place-code always 3.</span>
-
-<span class="sd">image based place-code (IBPC)</span>
-<span class="sd"> A place code derived from IBS. Each pixel is viewed in a direction</span>
-<span class="sd"> (elevation,azimuth) in a regular manner.</span>
-<span class="sd"> In that case the scene is a 4d numpy array</span>
-<span class="sd"> [elevation-index,azimuth-index,channel-index,component-index].</span>
-
-<span class="sd">Omatidium based place-code (OBPC)</span>
-<span class="sd"> A place code derived from OBS, the viewing direction</span>
-<span class="sd"> do not need to be regularally spaced.</span>
-<span class="sd"> In that case the scene is a 3d numpy array</span>
-<span class="sd"> [ommatidia-index, channel-index,component-index].</span>
-
-
-<span class="sd">Abusing the terminology of a place-code, a scene can be a place-code.</span>
-<span class="sd">Therefore ibs and obs have 4 and 3 dimension, respectively.</span>
-
-<span class="sd">.. todo:</span>
-
-<span class="sd"> * implement optic flow vector</span>
-
-<span class="sd">"""</span>
-<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
-<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
-<span class="kn">from</span> <span class="nn">scipy.ndimage</span> <span class="k">import</span> <span class="n">maximum_filter</span><span class="p">,</span> <span class="n">minimum_filter</span>
-<span class="kn">import</span> <span class="nn">processing.constants</span> <span class="k">as</span> <span class="nn">prc</span>
-<span class="kn">import</span> <span class="nn">processing.tools</span> <span class="k">as</span> <span class="nn">prt</span>
-
-
-<div class="viewcode-block" id="scene"><a class="viewcode-back" href="../processing.html#processing.scene">[docs]</a><span class="k">def</span> <span class="nf">scene</span><span class="p">(</span><span class="n">database</span><span class="p">,</span> <span class="n">posorient</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">rowid</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
- <span class="sd">""" Return a scene at a position orientation or given rowid</span>
-<span class="sd"> in a given database.</span>
-
-<span class="sd"> :param database: a DataBaseLoad class \</span>
-<span class="sd"> :param posorient: a pandas Series with index: \</span>
-<span class="sd">['x','y','z','alpha_0,'alpha_1,'alpha_2'] (default None, i.e. not used)</span>
-<span class="sd"> :param rowid: a row identification integer for directly reading \</span>
-<span class="sd">in the database (default None, i.e. not used).</span>
-<span class="sd"> :returns: a scene [elevation, azimuth, channel, 1] or \</span>
-<span class="sd">[ommatidia,channel,1].</span>
-<span class="sd"> :rtype: np.ndarray</span>
-
-<span class="sd"> .. literalinclude:: example/processing/scene.py</span>
-<span class="sd"> :lines: 13-14</span>
-
-<span class="sd"> .. plot:: example/processing/scene.py</span>
-
-<span class="sd"> """</span>
- <span class="k">if</span> <span class="n">posorient</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
- <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">posorient</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">),</span>\
- <span class="s1">'posorient should be a pandas Series'</span>
- <span class="n">scene</span> <span class="o">=</span> <span class="n">database</span><span class="o">.</span><span class="n">read_image</span><span class="p">(</span><span class="n">posorient</span><span class="o">=</span><span class="n">posorient</span><span class="p">,</span>
- <span class="n">rowid</span><span class="o">=</span><span class="n">rowid</span><span class="p">)</span>
- <span class="n">scene</span> <span class="o">=</span> <span class="n">scene</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span>
- <span class="k">return</span> <span class="n">scene</span></div>
-
-
-<div class="viewcode-block" id="skyline"><a class="viewcode-back" href="../processing.html#processing.skyline">[docs]</a><span class="k">def</span> <span class="nf">skyline</span><span class="p">(</span><span class="n">scene</span><span class="p">):</span>
- <span class="sd">"""Return the average along the elevation of a scene</span>
-
-<span class="sd"> :param scene: the scenery at a given location (a 4d numpy array)</span>
-<span class="sd"> :returns: the skyline [1,azimuth,channel,1]</span>
-<span class="sd"> :rtype: np.ndarray</span>
-
-<span class="sd"> .. literalinclude:: example/processing/skyline.py</span>
-<span class="sd"> :lines: 12-14</span>
-
-<span class="sd"> .. plot:: example/processing/skyline.py</span>
-
-<span class="sd"> """</span>
- <span class="k">assert</span> <span class="n">prt</span><span class="o">.</span><span class="n">is_ibpc</span><span class="p">(</span><span class="n">scene</span><span class="p">),</span>\
- <span class="s1">'scene should be image based to compute a skyline'</span>
- <span class="n">skyline</span> <span class="o">=</span> <span class="n">scene</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="n">prc</span><span class="o">.</span><span class="n">__ibpc_indeces__</span><span class="p">[</span><span class="s1">'elevation'</span><span class="p">])</span>
- <span class="k">return</span> <span class="n">skyline</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">,</span> <span class="p">:]</span></div>
-
-
-<div class="viewcode-block" id="michelson_contrast"><a class="viewcode-back" href="../processing.html#processing.michelson_contrast">[docs]</a><span class="k">def</span> <span class="nf">michelson_contrast</span><span class="p">(</span><span class="n">scene</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">3</span><span class="p">):</span>
- <span class="sd">"""Return the michelson constrast</span>
-
-<span class="sd"> .. math::</span>
-
-<span class="sd"> \\frac{I_\\text{max}-I_\\text{min}}{I_\\text{max}+I_\\text{min}}</span>
-
-<span class="sd"> with :math:`I_\\text{max}` and :math:`I_\\text{min}` representing the \</span>
-<span class="sd">highest and lowest luminance in an image region around each pixel.</span>
-
-<span class="sd"> :param scene: an image based scene</span>
-<span class="sd"> :param size: the size of the region to calculate the maximum \</span>
-<span class="sd">and minimum of the local image intensity</span>
-<span class="sd"> :returns: the michelson-contrast</span>
-<span class="sd"> :rtype: np.ndarray</span>
-
-<span class="sd"> .. literalinclude:: example/processing/michelson_contrast.py</span>
-<span class="sd"> :lines: 12-14</span>
-
-<span class="sd"> .. plot:: example/processing/michelson_contrast.py</span>
-
-<span class="sd"> """</span>
- <span class="k">assert</span> <span class="n">prt</span><span class="o">.</span><span class="n">is_ibpc</span><span class="p">(</span><span class="n">scene</span><span class="p">),</span> \
- <span class="s1">'scene should be image based to compute the michelson constrast'</span>
- <span class="n">contrast</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros_like</span><span class="p">(</span><span class="n">scene</span><span class="p">)</span>
- <span class="k">for</span> <span class="n">channel</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">scene</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">prc</span><span class="o">.</span><span class="n">__ibpc_indeces__</span><span class="p">[</span><span class="s1">'channel'</span><span class="p">]]):</span>
- <span class="n">i_max</span> <span class="o">=</span> <span class="n">maximum_filter</span><span class="p">(</span><span class="n">scene</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">channel</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
- <span class="n">size</span><span class="o">=</span><span class="n">size</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">'wrap'</span><span class="p">)</span>
- <span class="n">i_min</span> <span class="o">=</span> <span class="n">minimum_filter</span><span class="p">(</span><span class="n">scene</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">channel</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
- <span class="n">size</span><span class="o">=</span><span class="n">size</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">'wrap'</span><span class="p">)</span>
- <span class="n">contrast</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">channel</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">i_max</span> <span class="o">-</span> <span class="n">i_min</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">i_max</span> <span class="o">+</span> <span class="n">i_min</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">contrast</span></div>
-
-
-<div class="viewcode-block" id="contrast_weighted_nearness"><a class="viewcode-back" href="../processing.html#processing.contrast_weighted_nearness">[docs]</a><span class="k">def</span> <span class="nf">contrast_weighted_nearness</span><span class="p">(</span><span class="n">scene</span><span class="p">,</span> <span class="n">contrast_size</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">distance_channel</span><span class="o">=</span><span class="mi">3</span><span class="p">):</span>
- <span class="sd">"""Return the michelson contrast wheighted nearness</span>
-
-<span class="sd"> :param scene: an image based scene</span>
-<span class="sd"> :param contrast_size: the size of the region to calculate the maximum \</span>
-<span class="sd">and minimum of the local image intensity in the michelson-contrast.</span>
-<span class="sd"> :param distance_channel: the index of the distance-channel.</span>
-
-<span class="sd"> .. literalinclude:: example/processing/contrast_weighted_nearness.py</span>
-<span class="sd"> :lines: 12-14</span>
-
-<span class="sd"> .. plot:: example/processing/contrast_weighted_nearness.py</span>
-
-<span class="sd"> """</span>
- <span class="k">assert</span> <span class="n">prt</span><span class="o">.</span><span class="n">is_ibpc</span><span class="p">(</span><span class="n">scene</span><span class="p">),</span> \
- <span class="s1">'scene should be image based to compute the contrast weighted nearness'</span>
- <span class="n">contrast</span> <span class="o">=</span> <span class="n">michelson_contrast</span><span class="p">(</span><span class="n">scene</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="n">contrast_size</span><span class="p">)</span>
- <span class="n">distance</span> <span class="o">=</span> <span class="n">scene</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">distance_channel</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
- <span class="n">distance</span> <span class="o">=</span> <span class="n">distance</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span>
- <span class="n">distance</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">tile</span><span class="p">(</span><span class="n">distance</span><span class="p">,</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">scene</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">],</span> <span class="mi">1</span><span class="p">))</span>
- <span class="k">return</span> <span class="n">contrast</span> <span class="o">/</span> <span class="n">distance</span></div>
-
-
-<div class="viewcode-block" id="pcv"><a class="viewcode-back" href="../processing.html#processing.pcv">[docs]</a><span class="k">def</span> <span class="nf">pcv</span><span class="p">(</span><span class="n">place_code</span><span class="p">,</span> <span class="n">viewing_directions</span><span class="p">):</span>
- <span class="sd">"""Place code vectors</span>
-
-<span class="sd"> :param place_code: the place code at a given location (e.g. an ibs scene)</span>
-<span class="sd"> :param viewing_directions: viewing direction of each pixel</span>
-<span class="sd"> :returns: the place code vectors in cartesian coordinates</span>
-<span class="sd"> :rtype: (np.ndarray)</span>
-
-<span class="sd"> .. literalinclude:: example/processing/pcv.py</span>
-<span class="sd"> :lines: 12-14</span>
-
-<span class="sd"> .. plot:: example/processing/pcv.py</span>
-
-<span class="sd"> """</span>
- <span class="k">if</span> <span class="n">prt</span><span class="o">.</span><span class="n">is_ibpc</span><span class="p">(</span><span class="n">place_code</span><span class="p">):</span>
- <span class="n">component_dim</span> <span class="o">=</span> <span class="n">prc</span><span class="o">.</span><span class="n">__ibpc_indeces__</span><span class="p">[</span><span class="s1">'component'</span><span class="p">]</span>
- <span class="n">channel_dim</span> <span class="o">=</span> <span class="n">prc</span><span class="o">.</span><span class="n">__ibpc_indeces__</span><span class="p">[</span><span class="s1">'channel'</span><span class="p">]</span>
- <span class="k">elif</span> <span class="n">prt</span><span class="o">.</span><span class="n">is_obpc</span><span class="p">(</span><span class="n">place_code</span><span class="p">):</span>
- <span class="n">component_dim</span> <span class="o">=</span> <span class="n">prc</span><span class="o">.</span><span class="n">__obpc_indeces__</span><span class="p">[</span><span class="s1">'component'</span><span class="p">]</span>
- <span class="n">channel_dim</span> <span class="o">=</span> <span class="n">prc</span><span class="o">.</span><span class="n">__obpc_indeces__</span><span class="p">[</span><span class="s1">'channel'</span><span class="p">]</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s1">'place code should be either an ibpc or obpc'</span><span class="p">)</span>
- <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">viewing_directions</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">),</span> \
- <span class="s1">'viewing_directions should be a numpy array'</span>
- <span class="k">assert</span> <span class="n">place_code</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">component_dim</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">,</span> \
- <span class="s1">'the last dimension (</span><span class="si">{}</span><span class="s1">) of the place-code should be 1'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
- <span class="n">place_code</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">component_dim</span><span class="p">])</span>
- <span class="n">elevation</span> <span class="o">=</span> <span class="n">viewing_directions</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">prc</span><span class="o">.</span><span class="n">__spherical_indeces__</span><span class="p">[</span><span class="s1">'elevation'</span><span class="p">]]</span>
- <span class="n">azimuth</span> <span class="o">=</span> <span class="n">viewing_directions</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">prc</span><span class="o">.</span><span class="n">__spherical_indeces__</span><span class="p">[</span><span class="s1">'azimuth'</span><span class="p">]]</span>
- <span class="n">unscaled_lv</span> <span class="o">=</span> <span class="n">prt</span><span class="o">.</span><span class="n">spherical_to_cartesian</span><span class="p">(</span><span class="n">elevation</span><span class="p">,</span> <span class="n">azimuth</span><span class="p">,</span> <span class="n">radius</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
- <span class="n">scaled_lv</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros_like</span><span class="p">(</span><span class="n">place_code</span><span class="p">)</span>
- <span class="c1"># (3,) -> (1,1,3) or (1,1,1,3) see numpy.tile</span>
- <span class="n">scaled_lv</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">tile</span><span class="p">(</span><span class="n">scaled_lv</span><span class="p">,</span> <span class="p">(</span><span class="n">unscaled_lv</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],))</span>
- <span class="k">for</span> <span class="n">channel_index</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="n">scaled_lv</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">channel_dim</span><span class="p">]):</span>
- <span class="n">radius</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">tile</span><span class="p">(</span><span class="n">place_code</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">channel_index</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
- <span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">],</span> <span class="p">(</span><span class="n">scaled_lv</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],))</span>
- <span class="n">scaled_lv</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">channel_index</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">unscaled_lv</span> <span class="o">*</span> <span class="n">radius</span>
- <span class="k">return</span> <span class="n">scaled_lv</span></div>
-
-
-<div class="viewcode-block" id="apcv"><a class="viewcode-back" href="../processing.html#processing.apcv">[docs]</a><span class="k">def</span> <span class="nf">apcv</span><span class="p">(</span><span class="n">place_code</span><span class="p">,</span> <span class="n">viewing_directions</span><span class="p">):</span>
- <span class="sd">"""Calculate the average scene vector</span>
-
-<span class="sd"> :param place_code: the place code at a given location (e.g. an ibs scene)</span>
-<span class="sd"> :param viewing_directions: viewing direction of each pixel</span>
-<span class="sd"> :returns: the average place-code vector</span>
-<span class="sd"> :rtype: (np.ndarray)</span>
-
-<span class="sd"> .. literalinclude:: example/processing/apcv.py</span>
-<span class="sd"> :lines: 12-14</span>
-
-<span class="sd"> .. plot:: example/processing/apcv.py</span>
-
-<span class="sd"> """</span>
- <span class="n">scaled_lv</span> <span class="o">=</span> <span class="n">pcv</span><span class="p">(</span><span class="n">place_code</span><span class="p">,</span> <span class="n">viewing_directions</span><span class="p">)</span>
- <span class="k">if</span> <span class="n">prt</span><span class="o">.</span><span class="n">is_ibpc</span><span class="p">(</span><span class="n">place_code</span><span class="p">):</span>
- <span class="k">return</span> <span class="p">(</span><span class="n">scaled_lv</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">))[</span><span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span>
- <span class="k">elif</span> <span class="n">prt</span><span class="o">.</span><span class="n">is_obpc</span><span class="p">(</span><span class="n">place_code</span><span class="p">):</span>
- <span class="k">return</span> <span class="p">(</span><span class="n">scaled_lv</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">))[</span><span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s1">'place code is neither an ibpc nor obpc'</span><span class="p">)</span></div>
-
-
-<div class="viewcode-block" id="optic_flow"><a class="viewcode-back" href="../processing.html#processing.optic_flow">[docs]</a><span class="k">def</span> <span class="nf">optic_flow</span><span class="p">(</span><span class="n">place_code</span><span class="p">,</span> <span class="n">viewing_directions</span><span class="p">,</span> <span class="n">velocity</span><span class="p">):</span>
- <span class="sd">"""NOT IMPLEMENTED"""</span>
- <span class="k">raise</span> <span class="ne">NameError</span><span class="p">(</span><span class="s1">'Not Implemented'</span><span class="p">)</span></div>
-</pre></div>
-
- </div>
- </div>
- </div>
- <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
- <div class="sphinxsidebarwrapper"><div class="relations">
-<h3>Related Topics</h3>
-<ul>
- <li><a href="../index.html">Documentation overview</a><ul>
- <li><a href="index.html">Module code</a><ul>
- </ul></li>
- </ul></li>
-</ul>
-</div>
-<div id="searchbox" style="display: none" role="search">
- <h3>Quick search</h3>
- <form class="search" action="../search.html" method="get">
- <div><input type="text" name="q" /></div>
- <div><input type="submit" value="Go" /></div>
- <input type="hidden" name="check_keywords" value="yes" />
- <input type="hidden" name="area" value="default" />
- </form>
-</div>
-<script type="text/javascript">$('#searchbox').show(0);</script>
- </div>
- </div>
- <div class="clearer"></div>
- </div>
- <div class="footer">
- ©2017, Olivier J.N. Bertrand.
-
- |
- Powered by <a href="http://sphinx-doc.org/">Sphinx 1.5.3</a>
- & <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.8</a>
-
- </div>
-
-
-
-
- </body>
-</html>
\ No newline at end of file
diff --git a/doc/build/html/_sources/analysing.rst.txt b/doc/build/html/_sources/analysing.rst.txt
deleted file mode 100644
index e8147d2c15ea0153cce7c01ab9a64db302226542..0000000000000000000000000000000000000000
--- a/doc/build/html/_sources/analysing.rst.txt
+++ /dev/null
@@ -1,14 +0,0 @@
-Analysing
-=========
-
-Finding catchment areas
------------------------
-
-Attractor type
---------------
-
-Does my agent go home?
-----------------------
-
-Catchment area around a or few goals
-------------------------------------
diff --git a/doc/build/html/_sources/comparing.rst.txt b/doc/build/html/_sources/comparing.rst.txt
deleted file mode 100644
index 1eebda9175fc53bc1d83af08b008049b743f6442..0000000000000000000000000000000000000000
--- a/doc/build/html/_sources/comparing.rst.txt
+++ /dev/null
@@ -1,14 +0,0 @@
-Comparing
-=========
-
-Talk about memory
-
-Image difference (IDF)
-----------------------
-
-Rotational image difference (rIDF)
-----------------------------------
-
-Familiarity network (Infomax)
------------------------------
-
diff --git a/doc/build/html/_sources/computing.rst.txt b/doc/build/html/_sources/computing.rst.txt
deleted file mode 100644
index 05619e1d98c71a6a9b8d2d63eb46f52296276bc3..0000000000000000000000000000000000000000
--- a/doc/build/html/_sources/computing.rst.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-Computing
-=========
-
-From rotational image differences
----------------------------------
-
-From average place-code vector
-------------------------------
-
-From familiarity network
-------------------------
diff --git a/doc/build/html/_sources/database.rst.txt b/doc/build/html/_sources/database.rst.txt
deleted file mode 100644
index 7b6604c0201529b50e0390e26f7fa9f3673a79bb..0000000000000000000000000000000000000000
--- a/doc/build/html/_sources/database.rst.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-Database
-========
-
-.. automodule:: navipy.database
-
-.. autoclass:: navipy.database.DataBaseLoad
- :members:
diff --git a/doc/build/html/_sources/gettingstarted.rst.txt b/doc/build/html/_sources/gettingstarted.rst.txt
deleted file mode 100644
index a13831da0574965dea1d55c2ae7e56d42fe22459..0000000000000000000000000000000000000000
--- a/doc/build/html/_sources/gettingstarted.rst.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-Getting started
-===============
diff --git a/doc/build/html/_sources/index.rst.txt b/doc/build/html/_sources/index.rst.txt
deleted file mode 100644
index a034d2d37d62a7b6e214855d89c6ae49df5c0308..0000000000000000000000000000000000000000
--- a/doc/build/html/_sources/index.rst.txt
+++ /dev/null
@@ -1,27 +0,0 @@
-.. Navigation_Toolbox documentation master file, created by
- sphinx-quickstart on Mon Aug 28 11:58:29 2017.
- You can adapt this file completely to your liking, but it should at least
- contain the root `toctree` directive.
-
-Welcome to Navigation Toolbox's documentation!
-==============================================
-
-.. toctree::
- :maxdepth: 1
-
- gettingstarted
- rendering
- processing
- comparing
- computing
- moving
- analysing
- database
-
-
-Indices and tables
-==================
-
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
diff --git a/doc/build/html/_sources/moving.rst.txt b/doc/build/html/_sources/moving.rst.txt
deleted file mode 100644
index f6d1353a3fe04e14631d0a869284717d7784c568..0000000000000000000000000000000000000000
--- a/doc/build/html/_sources/moving.rst.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-Moving
-======
-
-Moving on a grid
-----------------
-
-Moving between grid points
---------------------------
-Interpolation of neighbouring images
-
-
diff --git a/doc/build/html/_sources/processing.rst.txt b/doc/build/html/_sources/processing.rst.txt
deleted file mode 100644
index f637eefcbb62c8cd885d361dfa935cf0fd5e03b3..0000000000000000000000000000000000000000
--- a/doc/build/html/_sources/processing.rst.txt
+++ /dev/null
@@ -1,33 +0,0 @@
-Processing a scene
-==================
-
-.. automodule:: navipy.processing
-
-Place code
-----------
-
-Skyline
-~~~~~~~
-.. autofunction:: navipy.processing.pcode.skyline
-
-Michelson-contrast
-~~~~~~~~~~~~~~~~~~
-.. autofunction:: navipy.processing.pcode.michelson_contrast
-
-Contrast-weighted-nearness
-~~~~~~~~~~~~~~~~~~~~~~~~~~
-.. autofunction:: navipy.processing.pcode.contrast_weighted_nearness
-
-Place-code vectors
-~~~~~~~~~~~~~~~~~~
-.. autofunction:: navipy.processing.pcode.pcv
-
-Average place-code vector
-~~~~~~~~~~~~~~~~~~~~~~~~~
-.. autofunction:: navipy.processing.pcode.apcv
-
-Motion code
------------
-Optic flow
-~~~~~~~~~~
-.. autofunction:: navipy.processing.mcode.optic_flow
diff --git a/doc/build/html/_sources/rendering.rst.txt b/doc/build/html/_sources/rendering.rst.txt
deleted file mode 100644
index f268dfe383bcdfdca25d7a3a4ab5a0be8ad29fdd..0000000000000000000000000000000000000000
--- a/doc/build/html/_sources/rendering.rst.txt
+++ /dev/null
@@ -1,53 +0,0 @@
-Rendering
-=========
-
-Need to introduce blender here
-
-
-Building your environment
--------------------------
-
-
-How to generate a database using blender
-----------------------------------------
-Regular sampling
-~~~~~~~~~~~~~~~~
-Blender comes with its own python installation. Thus, we need to tell blender to use our virtualenv where the navigation toolbox is installed. To do we need to import the os module
-
-.. literalinclude:: example/rendering/demo_render.py
- :lines: 5-6
-
-then activate the environment:
-
-.. literalinclude:: example/rendering/demo_render.py
- :lines: 12-26
-
-Now, blender can import all modules used by the navigation toolbox.
-
-.. literalinclude:: example/rendering/demo_render.py
- :lines: 30-31
-
-With the toolbox at disposition we just need to configure the BeeSampling to render images on a regular 3D grid.
-
-.. literalinclude:: example/rendering/demo_render.py
- :lines: 34
-.. literalinclude:: example/rendering/demo_render.py
- :lines: 37-44
-
-If we want to use the distance to objects, we need to tell the BeeSampling what is the maximum distance to objects in the environment. Otherwise the distance can go until infinity, and since the image are compressed in the database, all distance to object will be equal to zero:
-
-.. literalinclude:: example/rendering/demo_render.py
- :lines: 48-49
-
-Finally we can generate the database.
-
-.. literalinclude:: example/rendering/demo_render.py
- :lines: 53-54
-
-How to test the script:
-~~~~~~~~~~~~~~~~~~~~~~~
->>> blender test.blend --background --python demo_test.py
-
-
-Cyberbee
---------
diff --git a/doc/build/html/_static/ajax-loader.gif b/doc/build/html/_static/ajax-loader.gif
deleted file mode 100644
index 61faf8cab23993bd3e1560bff0668bd628642330..0000000000000000000000000000000000000000
Binary files a/doc/build/html/_static/ajax-loader.gif and /dev/null differ
diff --git a/doc/build/html/_static/alabaster.css b/doc/build/html/_static/alabaster.css
deleted file mode 100644
index be65b13746c7033a612b3de3c75c6750f5479134..0000000000000000000000000000000000000000
--- a/doc/build/html/_static/alabaster.css
+++ /dev/null
@@ -1,693 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-@import url("basic.css");
-
-/* -- page layout ----------------------------------------------------------- */
-
-body {
- font-family: 'goudy old style', 'minion pro', 'bell mt', Georgia, 'Hiragino Mincho Pro', serif;
- font-size: 17px;
- background-color: #fff;
- color: #000;
- margin: 0;
- padding: 0;
-}
-
-
-div.document {
- width: 940px;
- margin: 30px auto 0 auto;
-}
-
-div.documentwrapper {
- float: left;
- width: 100%;
-}
-
-div.bodywrapper {
- margin: 0 0 0 220px;
-}
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diff --git a/doc/build/html/_static/basic.css b/doc/build/html/_static/basic.css
deleted file mode 100644
index 3c7223b17230cec3c422b09c2b7be79ebf381987..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/_static/searchtools.js b/doc/build/html/_static/searchtools.js
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-/*
- * searchtools.js_t
- * ~~~~~~~~~~~~~~~~
- *
- * Sphinx JavaScript utilities for the full-text search.
- *
- * :copyright: Copyright 2007-2017 by the Sphinx team, see AUTHORS.
- * :license: BSD, see LICENSE for details.
- *
- */
-
-
-/* Non-minified version JS is _stemmer.js if file is provided */
-/**
- * Porter Stemmer
- */
-var Stemmer = function() {
-
- var step2list = {
- ational: 'ate',
- tional: 'tion',
- enci: 'ence',
- anci: 'ance',
- izer: 'ize',
- bli: 'ble',
- alli: 'al',
- entli: 'ent',
- eli: 'e',
- ousli: 'ous',
- ization: 'ize',
- ation: 'ate',
- ator: 'ate',
- alism: 'al',
- iveness: 'ive',
- fulness: 'ful',
- ousness: 'ous',
- aliti: 'al',
- iviti: 'ive',
- biliti: 'ble',
- logi: 'log'
- };
-
- var step3list = {
- icate: 'ic',
- ative: '',
- alize: 'al',
- iciti: 'ic',
- ical: 'ic',
- ful: '',
- ness: ''
- };
-
- var c = "[^aeiou]"; // consonant
- var v = "[aeiouy]"; // vowel
- var C = c + "[^aeiouy]*"; // consonant sequence
- var V = v + "[aeiou]*"; // vowel sequence
-
- var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0
- var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1
- var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1
- var s_v = "^(" + C + ")?" + v; // vowel in stem
-
- this.stemWord = function (w) {
- var stem;
- var suffix;
- var firstch;
- var origword = w;
-
- if (w.length < 3)
- return w;
-
- var re;
- var re2;
- var re3;
- var re4;
-
- firstch = w.substr(0,1);
- if (firstch == "y")
- w = firstch.toUpperCase() + w.substr(1);
-
- // Step 1a
- re = /^(.+?)(ss|i)es$/;
- re2 = /^(.+?)([^s])s$/;
-
- if (re.test(w))
- w = w.replace(re,"$1$2");
- else if (re2.test(w))
- w = w.replace(re2,"$1$2");
-
- // Step 1b
- re = /^(.+?)eed$/;
- re2 = /^(.+?)(ed|ing)$/;
- if (re.test(w)) {
- var fp = re.exec(w);
- re = new RegExp(mgr0);
- if (re.test(fp[1])) {
- re = /.$/;
- w = w.replace(re,"");
- }
- }
- else if (re2.test(w)) {
- var fp = re2.exec(w);
- stem = fp[1];
- re2 = new RegExp(s_v);
- if (re2.test(stem)) {
- w = stem;
- re2 = /(at|bl|iz)$/;
- re3 = new RegExp("([^aeiouylsz])\\1$");
- re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
- if (re2.test(w))
- w = w + "e";
- else if (re3.test(w)) {
- re = /.$/;
- w = w.replace(re,"");
- }
- else if (re4.test(w))
- w = w + "e";
- }
- }
-
- // Step 1c
- re = /^(.+?)y$/;
- if (re.test(w)) {
- var fp = re.exec(w);
- stem = fp[1];
- re = new RegExp(s_v);
- if (re.test(stem))
- w = stem + "i";
- }
-
- // Step 2
- re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
- if (re.test(w)) {
- var fp = re.exec(w);
- stem = fp[1];
- suffix = fp[2];
- re = new RegExp(mgr0);
- if (re.test(stem))
- w = stem + step2list[suffix];
- }
-
- // Step 3
- re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
- if (re.test(w)) {
- var fp = re.exec(w);
- stem = fp[1];
- suffix = fp[2];
- re = new RegExp(mgr0);
- if (re.test(stem))
- w = stem + step3list[suffix];
- }
-
- // Step 4
- re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
- re2 = /^(.+?)(s|t)(ion)$/;
- if (re.test(w)) {
- var fp = re.exec(w);
- stem = fp[1];
- re = new RegExp(mgr1);
- if (re.test(stem))
- w = stem;
- }
- else if (re2.test(w)) {
- var fp = re2.exec(w);
- stem = fp[1] + fp[2];
- re2 = new RegExp(mgr1);
- if (re2.test(stem))
- w = stem;
- }
-
- // Step 5
- re = /^(.+?)e$/;
- if (re.test(w)) {
- var fp = re.exec(w);
- stem = fp[1];
- re = new RegExp(mgr1);
- re2 = new RegExp(meq1);
- re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
- if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
- w = stem;
- }
- re = /ll$/;
- re2 = new RegExp(mgr1);
- if (re.test(w) && re2.test(w)) {
- re = /.$/;
- w = w.replace(re,"");
- }
-
- // and turn initial Y back to y
- if (firstch == "y")
- w = firstch.toLowerCase() + w.substr(1);
- return w;
- }
-}
-
-
-
-/**
- * Simple result scoring code.
- */
-var Scorer = {
- // Implement the following function to further tweak the score for each result
- // The function takes a result array [filename, title, anchor, descr, score]
- // and returns the new score.
- /*
- score: function(result) {
- return result[4];
- },
- */
-
- // query matches the full name of an object
- objNameMatch: 11,
- // or matches in the last dotted part of the object name
- objPartialMatch: 6,
- // Additive scores depending on the priority of the object
- objPrio: {0: 15, // used to be importantResults
- 1: 5, // used to be objectResults
- 2: -5}, // used to be unimportantResults
- // Used when the priority is not in the mapping.
- objPrioDefault: 0,
-
- // query found in title
- title: 15,
- // query found in terms
- term: 5
-};
-
-
-
-
-
-var splitChars = (function() {
- var result = {};
- var singles = [96, 180, 187, 191, 215, 247, 749, 885, 903, 907, 909, 930, 1014, 1648,
- 1748, 1809, 2416, 2473, 2481, 2526, 2601, 2609, 2612, 2615, 2653, 2702,
- 2706, 2729, 2737, 2740, 2857, 2865, 2868, 2910, 2928, 2948, 2961, 2971,
- 2973, 3085, 3089, 3113, 3124, 3213, 3217, 3241, 3252, 3295, 3341, 3345,
- 3369, 3506, 3516, 3633, 3715, 3721, 3736, 3744, 3748, 3750, 3756, 3761,
- 3781, 3912, 4239, 4347, 4681, 4695, 4697, 4745, 4785, 4799, 4801, 4823,
- 4881, 5760, 5901, 5997, 6313, 7405, 8024, 8026, 8028, 8030, 8117, 8125,
- 8133, 8181, 8468, 8485, 8487, 8489, 8494, 8527, 11311, 11359, 11687, 11695,
- 11703, 11711, 11719, 11727, 11735, 12448, 12539, 43010, 43014, 43019, 43587,
- 43696, 43713, 64286, 64297, 64311, 64317, 64319, 64322, 64325, 65141];
- var i, j, start, end;
- for (i = 0; i < singles.length; i++) {
- result[singles[i]] = true;
- }
- var ranges = [[0, 47], [58, 64], [91, 94], [123, 169], [171, 177], [182, 184], [706, 709],
- [722, 735], [741, 747], [751, 879], [888, 889], [894, 901], [1154, 1161],
- [1318, 1328], [1367, 1368], [1370, 1376], [1416, 1487], [1515, 1519], [1523, 1568],
- [1611, 1631], [1642, 1645], [1750, 1764], [1767, 1773], [1789, 1790], [1792, 1807],
- [1840, 1868], [1958, 1968], [1970, 1983], [2027, 2035], [2038, 2041], [2043, 2047],
- [2070, 2073], [2075, 2083], [2085, 2087], [2089, 2307], [2362, 2364], [2366, 2383],
- [2385, 2391], [2402, 2405], [2419, 2424], [2432, 2436], [2445, 2446], [2449, 2450],
- [2483, 2485], [2490, 2492], [2494, 2509], [2511, 2523], [2530, 2533], [2546, 2547],
- [2554, 2564], [2571, 2574], [2577, 2578], [2618, 2648], [2655, 2661], [2672, 2673],
- [2677, 2692], [2746, 2748], [2750, 2767], [2769, 2783], [2786, 2789], [2800, 2820],
- [2829, 2830], [2833, 2834], [2874, 2876], [2878, 2907], [2914, 2917], [2930, 2946],
- [2955, 2957], [2966, 2968], [2976, 2978], [2981, 2983], [2987, 2989], [3002, 3023],
- [3025, 3045], [3059, 3076], [3130, 3132], [3134, 3159], [3162, 3167], [3170, 3173],
- [3184, 3191], [3199, 3204], [3258, 3260], [3262, 3293], [3298, 3301], [3312, 3332],
- [3386, 3388], [3390, 3423], [3426, 3429], [3446, 3449], [3456, 3460], [3479, 3481],
- [3518, 3519], [3527, 3584], [3636, 3647], [3655, 3663], [3674, 3712], [3717, 3718],
- [3723, 3724], [3726, 3731], [3752, 3753], [3764, 3772], [3774, 3775], [3783, 3791],
- [3802, 3803], [3806, 3839], [3841, 3871], [3892, 3903], [3949, 3975], [3980, 4095],
- [4139, 4158], [4170, 4175], [4182, 4185], [4190, 4192], [4194, 4196], [4199, 4205],
- [4209, 4212], [4226, 4237], [4250, 4255], [4294, 4303], [4349, 4351], [4686, 4687],
- [4702, 4703], [4750, 4751], [4790, 4791], [4806, 4807], [4886, 4887], [4955, 4968],
- [4989, 4991], [5008, 5023], [5109, 5120], [5741, 5742], [5787, 5791], [5867, 5869],
- [5873, 5887], [5906, 5919], [5938, 5951], [5970, 5983], [6001, 6015], [6068, 6102],
- [6104, 6107], [6109, 6111], [6122, 6127], [6138, 6159], [6170, 6175], [6264, 6271],
- [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592],
- [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822],
- [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167],
- [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959],
- [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143],
- [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318],
- [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483],
- [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101],
- [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567],
- [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292],
- [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444],
- [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783],
- [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311],
- [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511],
- [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774],
- [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071],
- [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263],
- [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519],
- [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647],
- [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967],
- [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295],
- [57344, 63743], [64046, 64047], [64110, 64111], [64218, 64255], [64263, 64274],
- [64280, 64284], [64434, 64466], [64830, 64847], [64912, 64913], [64968, 65007],
- [65020, 65135], [65277, 65295], [65306, 65312], [65339, 65344], [65371, 65381],
- [65471, 65473], [65480, 65481], [65488, 65489], [65496, 65497]];
- for (i = 0; i < ranges.length; i++) {
- start = ranges[i][0];
- end = ranges[i][1];
- for (j = start; j <= end; j++) {
- result[j] = true;
- }
- }
- return result;
-})();
-
-function splitQuery(query) {
- var result = [];
- var start = -1;
- for (var i = 0; i < query.length; i++) {
- if (splitChars[query.charCodeAt(i)]) {
- if (start !== -1) {
- result.push(query.slice(start, i));
- start = -1;
- }
- } else if (start === -1) {
- start = i;
- }
- }
- if (start !== -1) {
- result.push(query.slice(start));
- }
- return result;
-}
-
-
-
-
-/**
- * Search Module
- */
-var Search = {
-
- _index : null,
- _queued_query : null,
- _pulse_status : -1,
-
- init : function() {
- var params = $.getQueryParameters();
- if (params.q) {
- var query = params.q[0];
- $('input[name="q"]')[0].value = query;
- this.performSearch(query);
- }
- },
-
- loadIndex : function(url) {
- $.ajax({type: "GET", url: url, data: null,
- dataType: "script", cache: true,
- complete: function(jqxhr, textstatus) {
- if (textstatus != "success") {
- document.getElementById("searchindexloader").src = url;
- }
- }});
- },
-
- setIndex : function(index) {
- var q;
- this._index = index;
- if ((q = this._queued_query) !== null) {
- this._queued_query = null;
- Search.query(q);
- }
- },
-
- hasIndex : function() {
- return this._index !== null;
- },
-
- deferQuery : function(query) {
- this._queued_query = query;
- },
-
- stopPulse : function() {
- this._pulse_status = 0;
- },
-
- startPulse : function() {
- if (this._pulse_status >= 0)
- return;
- function pulse() {
- var i;
- Search._pulse_status = (Search._pulse_status + 1) % 4;
- var dotString = '';
- for (i = 0; i < Search._pulse_status; i++)
- dotString += '.';
- Search.dots.text(dotString);
- if (Search._pulse_status > -1)
- window.setTimeout(pulse, 500);
- }
- pulse();
- },
-
- /**
- * perform a search for something (or wait until index is loaded)
- */
- performSearch : function(query) {
- // create the required interface elements
- this.out = $('#search-results');
- this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out);
- this.dots = $('<span></span>').appendTo(this.title);
- this.status = $('<p style="display: none"></p>').appendTo(this.out);
- this.output = $('<ul class="search"/>').appendTo(this.out);
-
- $('#search-progress').text(_('Preparing search...'));
- this.startPulse();
-
- // index already loaded, the browser was quick!
- if (this.hasIndex())
- this.query(query);
- else
- this.deferQuery(query);
- },
-
- /**
- * execute search (requires search index to be loaded)
- */
- query : function(query) {
- var i;
- var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"];
-
- // stem the searchterms and add them to the correct list
- var stemmer = new Stemmer();
- var searchterms = [];
- var excluded = [];
- var hlterms = [];
- var tmp = splitQuery(query);
- var objectterms = [];
- for (i = 0; i < tmp.length; i++) {
- if (tmp[i] !== "") {
- objectterms.push(tmp[i].toLowerCase());
- }
-
- if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i].match(/^\d+$/) ||
- tmp[i] === "") {
- // skip this "word"
- continue;
- }
- // stem the word
- var word = stemmer.stemWord(tmp[i].toLowerCase());
- // prevent stemmer from cutting word smaller than two chars
- if(word.length < 3 && tmp[i].length >= 3) {
- word = tmp[i];
- }
- var toAppend;
- // select the correct list
- if (word[0] == '-') {
- toAppend = excluded;
- word = word.substr(1);
- }
- else {
- toAppend = searchterms;
- hlterms.push(tmp[i].toLowerCase());
- }
- // only add if not already in the list
- if (!$u.contains(toAppend, word))
- toAppend.push(word);
- }
- var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" "));
-
- // console.debug('SEARCH: searching for:');
- // console.info('required: ', searchterms);
- // console.info('excluded: ', excluded);
-
- // prepare search
- var terms = this._index.terms;
- var titleterms = this._index.titleterms;
-
- // array of [filename, title, anchor, descr, score]
- var results = [];
- $('#search-progress').empty();
-
- // lookup as object
- for (i = 0; i < objectterms.length; i++) {
- var others = [].concat(objectterms.slice(0, i),
- objectterms.slice(i+1, objectterms.length));
- results = results.concat(this.performObjectSearch(objectterms[i], others));
- }
-
- // lookup as search terms in fulltext
- results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms));
-
- // let the scorer override scores with a custom scoring function
- if (Scorer.score) {
- for (i = 0; i < results.length; i++)
- results[i][4] = Scorer.score(results[i]);
- }
-
- // now sort the results by score (in opposite order of appearance, since the
- // display function below uses pop() to retrieve items) and then
- // alphabetically
- results.sort(function(a, b) {
- var left = a[4];
- var right = b[4];
- if (left > right) {
- return 1;
- } else if (left < right) {
- return -1;
- } else {
- // same score: sort alphabetically
- left = a[1].toLowerCase();
- right = b[1].toLowerCase();
- return (left > right) ? -1 : ((left < right) ? 1 : 0);
- }
- });
-
- // for debugging
- //Search.lastresults = results.slice(); // a copy
- //console.info('search results:', Search.lastresults);
-
- // print the results
- var resultCount = results.length;
- function displayNextItem() {
- // results left, load the summary and display it
- if (results.length) {
- var item = results.pop();
- var listItem = $('<li style="display:none"></li>');
- if (DOCUMENTATION_OPTIONS.FILE_SUFFIX === '') {
- // dirhtml builder
- var dirname = item[0] + '/';
- if (dirname.match(/\/index\/$/)) {
- dirname = dirname.substring(0, dirname.length-6);
- } else if (dirname == 'index/') {
- dirname = '';
- }
- listItem.append($('<a/>').attr('href',
- DOCUMENTATION_OPTIONS.URL_ROOT + dirname +
- highlightstring + item[2]).html(item[1]));
- } else {
- // normal html builders
- listItem.append($('<a/>').attr('href',
- item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX +
- highlightstring + item[2]).html(item[1]));
- }
- if (item[3]) {
- listItem.append($('<span> (' + item[3] + ')</span>'));
- Search.output.append(listItem);
- listItem.slideDown(5, function() {
- displayNextItem();
- });
- } else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) {
- var suffix = DOCUMENTATION_OPTIONS.SOURCELINK_SUFFIX;
- if (suffix === undefined) {
- suffix = '.txt';
- }
- $.ajax({url: DOCUMENTATION_OPTIONS.URL_ROOT + '_sources/' + item[5] + (item[5].slice(-suffix.length) === suffix ? '' : suffix),
- dataType: "text",
- complete: function(jqxhr, textstatus) {
- var data = jqxhr.responseText;
- if (data !== '' && data !== undefined) {
- listItem.append(Search.makeSearchSummary(data, searchterms, hlterms));
- }
- Search.output.append(listItem);
- listItem.slideDown(5, function() {
- displayNextItem();
- });
- }});
- } else {
- // no source available, just display title
- Search.output.append(listItem);
- listItem.slideDown(5, function() {
- displayNextItem();
- });
- }
- }
- // search finished, update title and status message
- else {
- Search.stopPulse();
- Search.title.text(_('Search Results'));
- if (!resultCount)
- Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.'));
- else
- Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount));
- Search.status.fadeIn(500);
- }
- }
- displayNextItem();
- },
-
- /**
- * search for object names
- */
- performObjectSearch : function(object, otherterms) {
- var filenames = this._index.filenames;
- var docnames = this._index.docnames;
- var objects = this._index.objects;
- var objnames = this._index.objnames;
- var titles = this._index.titles;
-
- var i;
- var results = [];
-
- for (var prefix in objects) {
- for (var name in objects[prefix]) {
- var fullname = (prefix ? prefix + '.' : '') + name;
- if (fullname.toLowerCase().indexOf(object) > -1) {
- var score = 0;
- var parts = fullname.split('.');
- // check for different match types: exact matches of full name or
- // "last name" (i.e. last dotted part)
- if (fullname == object || parts[parts.length - 1] == object) {
- score += Scorer.objNameMatch;
- // matches in last name
- } else if (parts[parts.length - 1].indexOf(object) > -1) {
- score += Scorer.objPartialMatch;
- }
- var match = objects[prefix][name];
- var objname = objnames[match[1]][2];
- var title = titles[match[0]];
- // If more than one term searched for, we require other words to be
- // found in the name/title/description
- if (otherterms.length > 0) {
- var haystack = (prefix + ' ' + name + ' ' +
- objname + ' ' + title).toLowerCase();
- var allfound = true;
- for (i = 0; i < otherterms.length; i++) {
- if (haystack.indexOf(otherterms[i]) == -1) {
- allfound = false;
- break;
- }
- }
- if (!allfound) {
- continue;
- }
- }
- var descr = objname + _(', in ') + title;
-
- var anchor = match[3];
- if (anchor === '')
- anchor = fullname;
- else if (anchor == '-')
- anchor = objnames[match[1]][1] + '-' + fullname;
- // add custom score for some objects according to scorer
- if (Scorer.objPrio.hasOwnProperty(match[2])) {
- score += Scorer.objPrio[match[2]];
- } else {
- score += Scorer.objPrioDefault;
- }
- results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]);
- }
- }
- }
-
- return results;
- },
-
- /**
- * search for full-text terms in the index
- */
- performTermsSearch : function(searchterms, excluded, terms, titleterms) {
- var docnames = this._index.docnames;
- var filenames = this._index.filenames;
- var titles = this._index.titles;
-
- var i, j, file;
- var fileMap = {};
- var scoreMap = {};
- var results = [];
-
- // perform the search on the required terms
- for (i = 0; i < searchterms.length; i++) {
- var word = searchterms[i];
- var files = [];
- var _o = [
- {files: terms[word], score: Scorer.term},
- {files: titleterms[word], score: Scorer.title}
- ];
-
- // no match but word was a required one
- if ($u.every(_o, function(o){return o.files === undefined;})) {
- break;
- }
- // found search word in contents
- $u.each(_o, function(o) {
- var _files = o.files;
- if (_files === undefined)
- return
-
- if (_files.length === undefined)
- _files = [_files];
- files = files.concat(_files);
-
- // set score for the word in each file to Scorer.term
- for (j = 0; j < _files.length; j++) {
- file = _files[j];
- if (!(file in scoreMap))
- scoreMap[file] = {}
- scoreMap[file][word] = o.score;
- }
- });
-
- // create the mapping
- for (j = 0; j < files.length; j++) {
- file = files[j];
- if (file in fileMap)
- fileMap[file].push(word);
- else
- fileMap[file] = [word];
- }
- }
-
- // now check if the files don't contain excluded terms
- for (file in fileMap) {
- var valid = true;
-
- // check if all requirements are matched
- if (fileMap[file].length != searchterms.length)
- continue;
-
- // ensure that none of the excluded terms is in the search result
- for (i = 0; i < excluded.length; i++) {
- if (terms[excluded[i]] == file ||
- titleterms[excluded[i]] == file ||
- $u.contains(terms[excluded[i]] || [], file) ||
- $u.contains(titleterms[excluded[i]] || [], file)) {
- valid = false;
- break;
- }
- }
-
- // if we have still a valid result we can add it to the result list
- if (valid) {
- // select one (max) score for the file.
- // for better ranking, we should calculate ranking by using words statistics like basic tf-idf...
- var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]}));
- results.push([docnames[file], titles[file], '', null, score, filenames[file]]);
- }
- }
- return results;
- },
-
- /**
- * helper function to return a node containing the
- * search summary for a given text. keywords is a list
- * of stemmed words, hlwords is the list of normal, unstemmed
- * words. the first one is used to find the occurrence, the
- * latter for highlighting it.
- */
- makeSearchSummary : function(text, keywords, hlwords) {
- var textLower = text.toLowerCase();
- var start = 0;
- $.each(keywords, function() {
- var i = textLower.indexOf(this.toLowerCase());
- if (i > -1)
- start = i;
- });
- start = Math.max(start - 120, 0);
- var excerpt = ((start > 0) ? '...' : '') +
- $.trim(text.substr(start, 240)) +
- ((start + 240 - text.length) ? '...' : '');
- var rv = $('<div class="context"></div>').text(excerpt);
- $.each(hlwords, function() {
- rv = rv.highlightText(this, 'highlighted');
- });
- return rv;
- }
-};
-
-$(document).ready(function() {
- Search.init();
-});
\ No newline at end of file
diff --git a/doc/build/html/_static/underscore.js b/doc/build/html/_static/underscore.js
deleted file mode 100644
index 5b55f32beaca186f84cca115514f02cddbd1bbd5..0000000000000000000000000000000000000000
--- a/doc/build/html/_static/underscore.js
+++ /dev/null
@@ -1,31 +0,0 @@
-// Underscore.js 1.3.1
-// (c) 2009-2012 Jeremy Ashkenas, DocumentCloud Inc.
-// Underscore is freely distributable under the MIT license.
-// Portions of Underscore are inspired or borrowed from Prototype,
-// Oliver Steele's Functional, and John Resig's Micro-Templating.
-// For all details and documentation:
-// http://documentcloud.github.com/underscore
-(function(){function q(a,c,d){if(a===c)return a!==0||1/a==1/c;if(a==null||c==null)return a===c;if(a._chain)a=a._wrapped;if(c._chain)c=c._wrapped;if(a.isEqual&&b.isFunction(a.isEqual))return a.isEqual(c);if(c.isEqual&&b.isFunction(c.isEqual))return c.isEqual(a);var e=l.call(a);if(e!=l.call(c))return false;switch(e){case "[object String]":return a==String(c);case "[object Number]":return a!=+a?c!=+c:a==0?1/a==1/c:a==+c;case "[object Date]":case "[object Boolean]":return+a==+c;case "[object RegExp]":return a.source==
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diff --git a/doc/build/html/_static/up.png b/doc/build/html/_static/up.png
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diff --git a/doc/build/html/_static/websupport.js b/doc/build/html/_static/websupport.js
deleted file mode 100644
index 53f6a4525cd3db79b5076e557b0d4c89d810fcae..0000000000000000000000000000000000000000
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-/*
- * websupport.js
- * ~~~~~~~~~~~~~
- *
- * sphinx.websupport utilities for all documentation.
- *
- * :copyright: Copyright 2007-2017 by the Sphinx team, see AUTHORS.
- * :license: BSD, see LICENSE for details.
- *
- */
-
-(function($) {
- $.fn.autogrow = function() {
- return this.each(function() {
- var textarea = this;
-
- $.fn.autogrow.resize(textarea);
-
- $(textarea)
- .focus(function() {
- textarea.interval = setInterval(function() {
- $.fn.autogrow.resize(textarea);
- }, 500);
- })
- .blur(function() {
- clearInterval(textarea.interval);
- });
- });
- };
-
- $.fn.autogrow.resize = function(textarea) {
- var lineHeight = parseInt($(textarea).css('line-height'), 10);
- var lines = textarea.value.split('\n');
- var columns = textarea.cols;
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- $.each(lines, function() {
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- });
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- var comp, by;
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- function init() {
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- }
-
- function initEvents() {
- $(document).on("click", 'a.comment-close', function(event) {
- event.preventDefault();
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- });
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- handleVote($(this));
- });
- $(document).on("click", 'a.reply', function(event) {
- event.preventDefault();
- openReply($(this).attr('id').substring(2));
- });
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- });
- $(document).on("click", 'a.sort-option', function(event) {
- event.preventDefault();
- handleReSort($(this));
- });
- $(document).on("click", 'a.show-proposal', function(event) {
- event.preventDefault();
- showProposal($(this).attr('id').substring(2));
- });
- $(document).on("click", 'a.hide-proposal', function(event) {
- event.preventDefault();
- hideProposal($(this).attr('id').substring(2));
- });
- $(document).on("click", 'a.show-propose-change', function(event) {
- event.preventDefault();
- showProposeChange($(this).attr('id').substring(2));
- });
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- hideProposeChange($(this).attr('id').substring(2));
- });
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- event.preventDefault();
- acceptComment($(this).attr('id').substring(2));
- });
- $(document).on("click", 'a.delete-comment', function(event) {
- event.preventDefault();
- deleteComment($(this).attr('id').substring(2));
- });
- $(document).on("click", 'a.comment-markup', function(event) {
- event.preventDefault();
- toggleCommentMarkupBox($(this).attr('id').substring(2));
- });
- }
-
- /**
- * Set comp, which is a comparator function used for sorting and
- * inserting comments into the list.
- */
- function setComparator() {
- // If the first three letters are "asc", sort in ascending order
- // and remove the prefix.
- if (by.substring(0,3) == 'asc') {
- var i = by.substring(3);
- comp = function(a, b) { return a[i] - b[i]; };
- } else {
- // Otherwise sort in descending order.
- comp = function(a, b) { return b[by] - a[by]; };
- }
-
- // Reset link styles and format the selected sort option.
- $('a.sel').attr('href', '#').removeClass('sel');
- $('a.by' + by).removeAttr('href').addClass('sel');
- }
-
- /**
- * Create a comp function. If the user has preferences stored in
- * the sortBy cookie, use those, otherwise use the default.
- */
- function initComparator() {
- by = 'rating'; // Default to sort by rating.
- // If the sortBy cookie is set, use that instead.
- if (document.cookie.length > 0) {
- var start = document.cookie.indexOf('sortBy=');
- if (start != -1) {
- start = start + 7;
- var end = document.cookie.indexOf(";", start);
- if (end == -1) {
- end = document.cookie.length;
- by = unescape(document.cookie.substring(start, end));
- }
- }
- }
- setComparator();
- }
-
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- form.submit(function(event) {
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- addComment(form);
- });
- $('#s' + id).after(popup);
- popup.slideDown('fast', function() {
- getComments(id);
- });
- }
-
- /**
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- */
- function hide(id) {
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- $('#ao' + id).show();
- var div = $('#sc' + id);
- div.slideUp('fast', function() {
- div.remove();
- });
- }
-
- /**
- * Perform an ajax request to get comments for a node
- * and insert the comments into the comments tree.
- */
- function getComments(id) {
- $.ajax({
- type: 'GET',
- url: opts.getCommentsURL,
- data: {node: id},
- success: function(data, textStatus, request) {
- var ul = $('#cl' + id);
- var speed = 100;
- $('#cf' + id)
- .find('textarea[name="proposal"]')
- .data('source', data.source);
-
- if (data.comments.length === 0) {
- ul.html('<li>No comments yet.</li>');
- ul.data('empty', true);
- } else {
- // If there are comments, sort them and put them in the list.
- var comments = sortComments(data.comments);
- speed = data.comments.length * 100;
- appendComments(comments, ul);
- ul.data('empty', false);
- }
- $('#cn' + id).slideUp(speed + 200);
- ul.slideDown(speed);
- },
- error: function(request, textStatus, error) {
- showError('Oops, there was a problem retrieving the comments.');
- },
- dataType: 'json'
- });
- }
-
- /**
- * Add a comment via ajax and insert the comment into the comment tree.
- */
- function addComment(form) {
- var node_id = form.find('input[name="node"]').val();
- var parent_id = form.find('input[name="parent"]').val();
- var text = form.find('textarea[name="comment"]').val();
- var proposal = form.find('textarea[name="proposal"]').val();
-
- if (text == '') {
- showError('Please enter a comment.');
- return;
- }
-
- // Disable the form that is being submitted.
- form.find('textarea,input').attr('disabled', 'disabled');
-
- // Send the comment to the server.
- $.ajax({
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- url: opts.addCommentURL,
- dataType: 'json',
- data: {
- node: node_id,
- parent: parent_id,
- text: text,
- proposal: proposal
- },
- success: function(data, textStatus, error) {
- // Reset the form.
- if (node_id) {
- hideProposeChange(node_id);
- }
- form.find('textarea')
- .val('')
- .add(form.find('input'))
- .removeAttr('disabled');
- var ul = $('#cl' + (node_id || parent_id));
- if (ul.data('empty')) {
- $(ul).empty();
- ul.data('empty', false);
- }
- insertComment(data.comment);
- var ao = $('#ao' + node_id);
- ao.find('img').attr({'src': opts.commentBrightImage});
- if (node_id) {
- // if this was a "root" comment, remove the commenting box
- // (the user can get it back by reopening the comment popup)
- $('#ca' + node_id).slideUp();
- }
- },
- error: function(request, textStatus, error) {
- form.find('textarea,input').removeAttr('disabled');
- showError('Oops, there was a problem adding the comment.');
- }
- });
- }
-
- /**
- * Recursively append comments to the main comment list and children
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- */
- function appendComments(comments, ul) {
- $.each(comments, function() {
- var div = createCommentDiv(this);
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- appendComments(this.children, div.find('ul.comment-children'));
- // To avoid stagnating data, don't store the comments children in data.
- this.children = null;
- div.data('comment', this);
- });
- }
-
- /**
- * After adding a new comment, it must be inserted in the correct
- * location in the comment tree.
- */
- function insertComment(comment) {
- var div = createCommentDiv(comment);
-
- // To avoid stagnating data, don't store the comments children in data.
- comment.children = null;
- div.data('comment', comment);
-
- var ul = $('#cl' + (comment.node || comment.parent));
- var siblings = getChildren(ul);
-
- var li = $(document.createElement('li'));
- li.hide();
-
- // Determine where in the parents children list to insert this comment.
- for(i=0; i < siblings.length; i++) {
- if (comp(comment, siblings[i]) <= 0) {
- $('#cd' + siblings[i].id)
- .parent()
- .before(li.html(div));
- li.slideDown('fast');
- return;
- }
- }
-
- // If we get here, this comment rates lower than all the others,
- // or it is the only comment in the list.
- ul.append(li.html(div));
- li.slideDown('fast');
- }
-
- function acceptComment(id) {
- $.ajax({
- type: 'POST',
- url: opts.acceptCommentURL,
- data: {id: id},
- success: function(data, textStatus, request) {
- $('#cm' + id).fadeOut('fast');
- $('#cd' + id).removeClass('moderate');
- },
- error: function(request, textStatus, error) {
- showError('Oops, there was a problem accepting the comment.');
- }
- });
- }
-
- function deleteComment(id) {
- $.ajax({
- type: 'POST',
- url: opts.deleteCommentURL,
- data: {id: id},
- success: function(data, textStatus, request) {
- var div = $('#cd' + id);
- if (data == 'delete') {
- // Moderator mode: remove the comment and all children immediately
- div.slideUp('fast', function() {
- div.remove();
- });
- return;
- }
- // User mode: only mark the comment as deleted
- div
- .find('span.user-id:first')
- .text('[deleted]').end()
- .find('div.comment-text:first')
- .text('[deleted]').end()
- .find('#cm' + id + ', #dc' + id + ', #ac' + id + ', #rc' + id +
- ', #sp' + id + ', #hp' + id + ', #cr' + id + ', #rl' + id)
- .remove();
- var comment = div.data('comment');
- comment.username = '[deleted]';
- comment.text = '[deleted]';
- div.data('comment', comment);
- },
- error: function(request, textStatus, error) {
- showError('Oops, there was a problem deleting the comment.');
- }
- });
- }
-
- function showProposal(id) {
- $('#sp' + id).hide();
- $('#hp' + id).show();
- $('#pr' + id).slideDown('fast');
- }
-
- function hideProposal(id) {
- $('#hp' + id).hide();
- $('#sp' + id).show();
- $('#pr' + id).slideUp('fast');
- }
-
- function showProposeChange(id) {
- $('#pc' + id).hide();
- $('#hc' + id).show();
- var textarea = $('#pt' + id);
- textarea.val(textarea.data('source'));
- $.fn.autogrow.resize(textarea[0]);
- textarea.slideDown('fast');
- }
-
- function hideProposeChange(id) {
- $('#hc' + id).hide();
- $('#pc' + id).show();
- var textarea = $('#pt' + id);
- textarea.val('').removeAttr('disabled');
- textarea.slideUp('fast');
- }
-
- function toggleCommentMarkupBox(id) {
- $('#mb' + id).toggle();
- }
-
- /** Handle when the user clicks on a sort by link. */
- function handleReSort(link) {
- var classes = link.attr('class').split(/\s+/);
- for (var i=0; i<classes.length; i++) {
- if (classes[i] != 'sort-option') {
- by = classes[i].substring(2);
- }
- }
- setComparator();
- // Save/update the sortBy cookie.
- var expiration = new Date();
- expiration.setDate(expiration.getDate() + 365);
- document.cookie= 'sortBy=' + escape(by) +
- ';expires=' + expiration.toUTCString();
- $('ul.comment-ul').each(function(index, ul) {
- var comments = getChildren($(ul), true);
- comments = sortComments(comments);
- appendComments(comments, $(ul).empty());
- });
- }
-
- /**
- * Function to process a vote when a user clicks an arrow.
- */
- function handleVote(link) {
- if (!opts.voting) {
- showError("You'll need to login to vote.");
- return;
- }
-
- var id = link.attr('id');
- if (!id) {
- // Didn't click on one of the voting arrows.
- return;
- }
- // If it is an unvote, the new vote value is 0,
- // Otherwise it's 1 for an upvote, or -1 for a downvote.
- var value = 0;
- if (id.charAt(1) != 'u') {
- value = id.charAt(0) == 'u' ? 1 : -1;
- }
- // The data to be sent to the server.
- var d = {
- comment_id: id.substring(2),
- value: value
- };
-
- // Swap the vote and unvote links.
- link.hide();
- $('#' + id.charAt(0) + (id.charAt(1) == 'u' ? 'v' : 'u') + d.comment_id)
- .show();
-
- // The div the comment is displayed in.
- var div = $('div#cd' + d.comment_id);
- var data = div.data('comment');
-
- // If this is not an unvote, and the other vote arrow has
- // already been pressed, unpress it.
- if ((d.value !== 0) && (data.vote === d.value * -1)) {
- $('#' + (d.value == 1 ? 'd' : 'u') + 'u' + d.comment_id).hide();
- $('#' + (d.value == 1 ? 'd' : 'u') + 'v' + d.comment_id).show();
- }
-
- // Update the comments rating in the local data.
- data.rating += (data.vote === 0) ? d.value : (d.value - data.vote);
- data.vote = d.value;
- div.data('comment', data);
-
- // Change the rating text.
- div.find('.rating:first')
- .text(data.rating + ' point' + (data.rating == 1 ? '' : 's'));
-
- // Send the vote information to the server.
- $.ajax({
- type: "POST",
- url: opts.processVoteURL,
- data: d,
- error: function(request, textStatus, error) {
- showError('Oops, there was a problem casting that vote.');
- }
- });
- }
-
- /**
- * Open a reply form used to reply to an existing comment.
- */
- function openReply(id) {
- // Swap out the reply link for the hide link
- $('#rl' + id).hide();
- $('#cr' + id).show();
-
- // Add the reply li to the children ul.
- var div = $(renderTemplate(replyTemplate, {id: id})).hide();
- $('#cl' + id)
- .prepend(div)
- // Setup the submit handler for the reply form.
- .find('#rf' + id)
- .submit(function(event) {
- event.preventDefault();
- addComment($('#rf' + id));
- closeReply(id);
- })
- .find('input[type=button]')
- .click(function() {
- closeReply(id);
- });
- div.slideDown('fast', function() {
- $('#rf' + id).find('textarea').focus();
- });
- }
-
- /**
- * Close the reply form opened with openReply.
- */
- function closeReply(id) {
- // Remove the reply div from the DOM.
- $('#rd' + id).slideUp('fast', function() {
- $(this).remove();
- });
-
- // Swap out the hide link for the reply link
- $('#cr' + id).hide();
- $('#rl' + id).show();
- }
-
- /**
- * Recursively sort a tree of comments using the comp comparator.
- */
- function sortComments(comments) {
- comments.sort(comp);
- $.each(comments, function() {
- this.children = sortComments(this.children);
- });
- return comments;
- }
-
- /**
- * Get the children comments from a ul. If recursive is true,
- * recursively include childrens' children.
- */
- function getChildren(ul, recursive) {
- var children = [];
- ul.children().children("[id^='cd']")
- .each(function() {
- var comment = $(this).data('comment');
- if (recursive)
- comment.children = getChildren($(this).find('#cl' + comment.id), true);
- children.push(comment);
- });
- return children;
- }
-
- /** Create a div to display a comment in. */
- function createCommentDiv(comment) {
- if (!comment.displayed && !opts.moderator) {
- return $('<div class="moderate">Thank you! Your comment will show up '
- + 'once it is has been approved by a moderator.</div>');
- }
- // Prettify the comment rating.
- comment.pretty_rating = comment.rating + ' point' +
- (comment.rating == 1 ? '' : 's');
- // Make a class (for displaying not yet moderated comments differently)
- comment.css_class = comment.displayed ? '' : ' moderate';
- // Create a div for this comment.
- var context = $.extend({}, opts, comment);
- var div = $(renderTemplate(commentTemplate, context));
-
- // If the user has voted on this comment, highlight the correct arrow.
- if (comment.vote) {
- var direction = (comment.vote == 1) ? 'u' : 'd';
- div.find('#' + direction + 'v' + comment.id).hide();
- div.find('#' + direction + 'u' + comment.id).show();
- }
-
- if (opts.moderator || comment.text != '[deleted]') {
- div.find('a.reply').show();
- if (comment.proposal_diff)
- div.find('#sp' + comment.id).show();
- if (opts.moderator && !comment.displayed)
- div.find('#cm' + comment.id).show();
- if (opts.moderator || (opts.username == comment.username))
- div.find('#dc' + comment.id).show();
- }
- return div;
- }
-
- /**
- * A simple template renderer. Placeholders such as <%id%> are replaced
- * by context['id'] with items being escaped. Placeholders such as <#id#>
- * are not escaped.
- */
- function renderTemplate(template, context) {
- var esc = $(document.createElement('div'));
-
- function handle(ph, escape) {
- var cur = context;
- $.each(ph.split('.'), function() {
- cur = cur[this];
- });
- return escape ? esc.text(cur || "").html() : cur;
- }
-
- return template.replace(/<([%#])([\w\.]*)\1>/g, function() {
- return handle(arguments[2], arguments[1] == '%' ? true : false);
- });
- }
-
- /** Flash an error message briefly. */
- function showError(message) {
- $(document.createElement('div')).attr({'class': 'popup-error'})
- .append($(document.createElement('div'))
- .attr({'class': 'error-message'}).text(message))
- .appendTo('body')
- .fadeIn("slow")
- .delay(2000)
- .fadeOut("slow");
- }
-
- /** Add a link the user uses to open the comments popup. */
- $.fn.comment = function() {
- return this.each(function() {
- var id = $(this).attr('id').substring(1);
- var count = COMMENT_METADATA[id];
- var title = count + ' comment' + (count == 1 ? '' : 's');
- var image = count > 0 ? opts.commentBrightImage : opts.commentImage;
- var addcls = count == 0 ? ' nocomment' : '';
- $(this)
- .append(
- $(document.createElement('a')).attr({
- href: '#',
- 'class': 'sphinx-comment-open' + addcls,
- id: 'ao' + id
- })
- .append($(document.createElement('img')).attr({
- src: image,
- alt: 'comment',
- title: title
- }))
- .click(function(event) {
- event.preventDefault();
- show($(this).attr('id').substring(2));
- })
- )
- .append(
- $(document.createElement('a')).attr({
- href: '#',
- 'class': 'sphinx-comment-close hidden',
- id: 'ah' + id
- })
- .append($(document.createElement('img')).attr({
- src: opts.closeCommentImage,
- alt: 'close',
- title: 'close'
- }))
- .click(function(event) {
- event.preventDefault();
- hide($(this).attr('id').substring(2));
- })
- );
- });
- };
-
- var opts = {
- processVoteURL: '/_process_vote',
- addCommentURL: '/_add_comment',
- getCommentsURL: '/_get_comments',
- acceptCommentURL: '/_accept_comment',
- deleteCommentURL: '/_delete_comment',
- commentImage: '/static/_static/comment.png',
- closeCommentImage: '/static/_static/comment-close.png',
- loadingImage: '/static/_static/ajax-loader.gif',
- commentBrightImage: '/static/_static/comment-bright.png',
- upArrow: '/static/_static/up.png',
- downArrow: '/static/_static/down.png',
- upArrowPressed: '/static/_static/up-pressed.png',
- downArrowPressed: '/static/_static/down-pressed.png',
- voting: false,
- moderator: false
- };
-
- if (typeof COMMENT_OPTIONS != "undefined") {
- opts = jQuery.extend(opts, COMMENT_OPTIONS);
- }
-
- var popupTemplate = '\
- <div class="sphinx-comments" id="sc<%id%>">\
- <p class="sort-options">\
- Sort by:\
- <a href="#" class="sort-option byrating">best rated</a>\
- <a href="#" class="sort-option byascage">newest</a>\
- <a href="#" class="sort-option byage">oldest</a>\
- </p>\
- <div class="comment-header">Comments</div>\
- <div class="comment-loading" id="cn<%id%>">\
- loading comments... <img src="<%loadingImage%>" alt="" /></div>\
- <ul id="cl<%id%>" class="comment-ul"></ul>\
- <div id="ca<%id%>">\
- <p class="add-a-comment">Add a comment\
- (<a href="#" class="comment-markup" id="ab<%id%>">markup</a>):</p>\
- <div class="comment-markup-box" id="mb<%id%>">\
- reStructured text markup: <i>*emph*</i>, <b>**strong**</b>, \
- <code>``code``</code>, \
- code blocks: <code>::</code> and an indented block after blank line</div>\
- <form method="post" id="cf<%id%>" class="comment-form" action="">\
- <textarea name="comment" cols="80"></textarea>\
- <p class="propose-button">\
- <a href="#" id="pc<%id%>" class="show-propose-change">\
- Propose a change ▹\
- </a>\
- <a href="#" id="hc<%id%>" class="hide-propose-change">\
- Propose a change ▿\
- </a>\
- </p>\
- <textarea name="proposal" id="pt<%id%>" cols="80"\
- spellcheck="false"></textarea>\
- <input type="submit" value="Add comment" />\
- <input type="hidden" name="node" value="<%id%>" />\
- <input type="hidden" name="parent" value="" />\
- </form>\
- </div>\
- </div>';
-
- var commentTemplate = '\
- <div id="cd<%id%>" class="sphinx-comment<%css_class%>">\
- <div class="vote">\
- <div class="arrow">\
- <a href="#" id="uv<%id%>" class="vote" title="vote up">\
- <img src="<%upArrow%>" />\
- </a>\
- <a href="#" id="uu<%id%>" class="un vote" title="vote up">\
- <img src="<%upArrowPressed%>" />\
- </a>\
- </div>\
- <div class="arrow">\
- <a href="#" id="dv<%id%>" class="vote" title="vote down">\
- <img src="<%downArrow%>" id="da<%id%>" />\
- </a>\
- <a href="#" id="du<%id%>" class="un vote" title="vote down">\
- <img src="<%downArrowPressed%>" />\
- </a>\
- </div>\
- </div>\
- <div class="comment-content">\
- <p class="tagline comment">\
- <span class="user-id"><%username%></span>\
- <span class="rating"><%pretty_rating%></span>\
- <span class="delta"><%time.delta%></span>\
- </p>\
- <div class="comment-text comment"><#text#></div>\
- <p class="comment-opts comment">\
- <a href="#" class="reply hidden" id="rl<%id%>">reply ▹</a>\
- <a href="#" class="close-reply" id="cr<%id%>">reply ▿</a>\
- <a href="#" id="sp<%id%>" class="show-proposal">proposal ▹</a>\
- <a href="#" id="hp<%id%>" class="hide-proposal">proposal ▿</a>\
- <a href="#" id="dc<%id%>" class="delete-comment hidden">delete</a>\
- <span id="cm<%id%>" class="moderation hidden">\
- <a href="#" id="ac<%id%>" class="accept-comment">accept</a>\
- </span>\
- </p>\
- <pre class="proposal" id="pr<%id%>">\
-<#proposal_diff#>\
- </pre>\
- <ul class="comment-children" id="cl<%id%>"></ul>\
- </div>\
- <div class="clearleft"></div>\
- </div>\
- </div>';
-
- var replyTemplate = '\
- <li>\
- <div class="reply-div" id="rd<%id%>">\
- <form id="rf<%id%>">\
- <textarea name="comment" cols="80"></textarea>\
- <input type="submit" value="Add reply" />\
- <input type="button" value="Cancel" />\
- <input type="hidden" name="parent" value="<%id%>" />\
- <input type="hidden" name="node" value="" />\
- </form>\
- </div>\
- </li>';
-
- $(document).ready(function() {
- init();
- });
-})(jQuery);
-
-$(document).ready(function() {
- // add comment anchors for all paragraphs that are commentable
- $('.sphinx-has-comment').comment();
-
- // highlight search words in search results
- $("div.context").each(function() {
- var params = $.getQueryParameters();
- var terms = (params.q) ? params.q[0].split(/\s+/) : [];
- var result = $(this);
- $.each(terms, function() {
- result.highlightText(this.toLowerCase(), 'highlighted');
- });
- });
-
- // directly open comment window if requested
- var anchor = document.location.hash;
- if (anchor.substring(0, 9) == '#comment-') {
- $('#ao' + anchor.substring(9)).click();
- document.location.hash = '#s' + anchor.substring(9);
- }
-});
diff --git a/doc/build/html/analysing.html b/doc/build/html/analysing.html
deleted file mode 100644
index 2f4b9ebcc29c6bbe44ff8d8a3668c8b335627a23..0000000000000000000000000000000000000000
--- a/doc/build/html/analysing.html
+++ /dev/null
@@ -1,122 +0,0 @@
-
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-
-<html xmlns="http://www.w3.org/1999/xhtml">
- <head>
- <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
- <title>Analysing — Navigation Toolbox a0 documentation</title>
- <link rel="stylesheet" href="_static/alabaster.css" type="text/css" />
- <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
- <script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT: './',
- VERSION: 'a0',
- COLLAPSE_INDEX: false,
- FILE_SUFFIX: '.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: '.txt'
- };
- </script>
- <script type="text/javascript" src="_static/jquery.js"></script>
- <script type="text/javascript" src="_static/underscore.js"></script>
- <script type="text/javascript" src="_static/doctools.js"></script>
- <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>
- <link rel="index" title="Index" href="genindex.html" />
- <link rel="search" title="Search" href="search.html" />
- <link rel="next" title="Database" href="database.html" />
- <link rel="prev" title="Moving" href="moving.html" />
-
- <link rel="stylesheet" href="_static/custom.css" type="text/css" />
-
-
- <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
-
- </head>
- <body>
-
-
- <div class="document">
- <div class="documentwrapper">
- <div class="bodywrapper">
- <div class="body" role="main">
-
- <div class="section" id="analysing">
-<h1>Analysing<a class="headerlink" href="#analysing" title="Permalink to this headline">¶</a></h1>
-<div class="section" id="finding-catchment-areas">
-<h2>Finding catchment areas<a class="headerlink" href="#finding-catchment-areas" title="Permalink to this headline">¶</a></h2>
-</div>
-<div class="section" id="attractor-type">
-<h2>Attractor type<a class="headerlink" href="#attractor-type" title="Permalink to this headline">¶</a></h2>
-</div>
-<div class="section" id="does-my-agent-go-home">
-<h2>Does my agent go home?<a class="headerlink" href="#does-my-agent-go-home" title="Permalink to this headline">¶</a></h2>
-</div>
-<div class="section" id="catchment-area-around-a-or-few-goals">
-<h2>Catchment area around a or few goals<a class="headerlink" href="#catchment-area-around-a-or-few-goals" title="Permalink to this headline">¶</a></h2>
-</div>
-</div>
-
-
- </div>
- </div>
- </div>
- <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
- <div class="sphinxsidebarwrapper">
- <h3><a href="index.html">Table Of Contents</a></h3>
- <ul>
-<li><a class="reference internal" href="#">Analysing</a><ul>
-<li><a class="reference internal" href="#finding-catchment-areas">Finding catchment areas</a></li>
-<li><a class="reference internal" href="#attractor-type">Attractor type</a></li>
-<li><a class="reference internal" href="#does-my-agent-go-home">Does my agent go home?</a></li>
-<li><a class="reference internal" href="#catchment-area-around-a-or-few-goals">Catchment area around a or few goals</a></li>
-</ul>
-</li>
-</ul>
-<div class="relations">
-<h3>Related Topics</h3>
-<ul>
- <li><a href="index.html">Documentation overview</a><ul>
- <li>Previous: <a href="moving.html" title="previous chapter">Moving</a></li>
- <li>Next: <a href="database.html" title="next chapter">Database</a></li>
- </ul></li>
-</ul>
-</div>
- <div role="note" aria-label="source link">
- <h3>This Page</h3>
- <ul class="this-page-menu">
- <li><a href="_sources/analysing.rst.txt"
- rel="nofollow">Show Source</a></li>
- </ul>
- </div>
-<div id="searchbox" style="display: none" role="search">
- <h3>Quick search</h3>
- <form class="search" action="search.html" method="get">
- <div><input type="text" name="q" /></div>
- <div><input type="submit" value="Go" /></div>
- <input type="hidden" name="check_keywords" value="yes" />
- <input type="hidden" name="area" value="default" />
- </form>
-</div>
-<script type="text/javascript">$('#searchbox').show(0);</script>
- </div>
- </div>
- <div class="clearer"></div>
- </div>
- <div class="footer">
- ©2017, Olivier J.N. Bertrand.
-
- |
- Powered by <a href="http://sphinx-doc.org/">Sphinx 1.6.5</a>
- & <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
-
- |
- <a href="_sources/analysing.rst.txt"
- rel="nofollow">Page source</a>
- </div>
-
-
-
-
- </body>
-</html>
\ No newline at end of file
diff --git a/doc/build/html/comparing.html b/doc/build/html/comparing.html
deleted file mode 100644
index 9bea95f2366a6ae8680da25859cbca74e0c9ca05..0000000000000000000000000000000000000000
--- a/doc/build/html/comparing.html
+++ /dev/null
@@ -1,119 +0,0 @@
-
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-
-<html xmlns="http://www.w3.org/1999/xhtml">
- <head>
- <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
- <title>Comparing — Navigation Toolbox a0 documentation</title>
- <link rel="stylesheet" href="_static/alabaster.css" type="text/css" />
- <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
- <script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT: './',
- VERSION: 'a0',
- COLLAPSE_INDEX: false,
- FILE_SUFFIX: '.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: '.txt'
- };
- </script>
- <script type="text/javascript" src="_static/jquery.js"></script>
- <script type="text/javascript" src="_static/underscore.js"></script>
- <script type="text/javascript" src="_static/doctools.js"></script>
- <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>
- <link rel="index" title="Index" href="genindex.html" />
- <link rel="search" title="Search" href="search.html" />
- <link rel="next" title="Computing" href="computing.html" />
- <link rel="prev" title="Processing a scene" href="processing.html" />
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-<p>Talk about memory</p>
-<div class="section" id="image-difference-idf">
-<h2>Image difference (IDF)<a class="headerlink" href="#image-difference-idf" title="Permalink to this headline">¶</a></h2>
-</div>
-<div class="section" id="rotational-image-difference-ridf">
-<h2>Rotational image difference (rIDF)<a class="headerlink" href="#rotational-image-difference-ridf" title="Permalink to this headline">¶</a></h2>
-</div>
-<div class="section" id="familiarity-network-infomax">
-<h2>Familiarity network (Infomax)<a class="headerlink" href="#familiarity-network-infomax" title="Permalink to this headline">¶</a></h2>
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diff --git a/doc/build/html/computing.html b/doc/build/html/computing.html
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index c92fd2afb0793be95c54ec25799aa3e845352f81..0000000000000000000000000000000000000000
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-<h1>Computing<a class="headerlink" href="#computing" title="Permalink to this headline">¶</a></h1>
-<div class="section" id="from-rotational-image-differences">
-<h2>From rotational image differences<a class="headerlink" href="#from-rotational-image-differences" title="Permalink to this headline">¶</a></h2>
-</div>
-<div class="section" id="from-average-place-code-vector">
-<h2>From average place-code vector<a class="headerlink" href="#from-average-place-code-vector" title="Permalink to this headline">¶</a></h2>
-</div>
-<div class="section" id="from-familiarity-network">
-<h2>From familiarity network<a class="headerlink" href="#from-familiarity-network" title="Permalink to this headline">¶</a></h2>
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-<li><a class="reference internal" href="#from-rotational-image-differences">From rotational image differences</a></li>
-<li><a class="reference internal" href="#from-average-place-code-vector">From average place-code vector</a></li>
-<li><a class="reference internal" href="#from-familiarity-network">From familiarity network</a></li>
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+++ /dev/null
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-
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-
- <div class="section" id="module-navipy.database">
-<span id="database"></span><h1>Database<a class="headerlink" href="#module-navipy.database" title="Permalink to this headline">¶</a></h1>
-<p>Database are generated by the rendering module, and contains all images and there corresponding position-orientations.</p>
-<ul class="simple">
-<li>position_orientation: containing all position and orientation of where images were rendered. The position-orientation is described by [‘x’,’y’,’z’,’alpha_0’,’alpha_1’,’alpha_2’]</li>
-<li>image: containing all images ever rendered. Each channel of each image are normalised, so to use the full coding range.</li>
-<li>normalisation: the normalisation constantes</li>
-</ul>
-<div class="section" id="how-to-load-a-database">
-<h2>How to load a database<a class="headerlink" href="#how-to-load-a-database" title="Permalink to this headline">¶</a></h2>
-<div class="highlight-python"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">database</span> <span class="kn">import</span> <span class="n">DataBaseLoad</span>
-<span class="n">mydb_filename</span> <span class="o">=</span> <span class="s1">'database.db'</span>
-<span class="n">mydb</span> <span class="o">=</span> <span class="n">DataBaseLoad</span><span class="p">(</span><span class="n">mydb_filename</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="section" id="how-to-load-all-position-orientation">
-<h2>How to load all position-orientation<a class="headerlink" href="#how-to-load-all-position-orientation" title="Permalink to this headline">¶</a></h2>
-<p>The database contains all position-orientation at which an image as been rendered. In certain situation, it may be usefull to know all position-orientation in the database. More technically speaking, loading the full table of position-orientaiton.</p>
-<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">posorients</span> <span class="o">=</span> <span class="n">mydb</span><span class="o">.</span><span class="n">get_posorients</span><span class="p">()</span>
-<span class="n">posorients</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
-</pre></div>
-</div>
-</div>
-<div class="section" id="how-to-load-an-image">
-<h2>How to load an image<a class="headerlink" href="#how-to-load-an-image" title="Permalink to this headline">¶</a></h2>
-<p>The database contains images which can be processed differently depending on the navigation strategy beeing used.</p>
-<p>Images are at given position-orientations. To load an image the position-orientation can be given. The DataBaseLoader will look if this position-orientation has been rendered. If it is the case, the image will be returned.</p>
-<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">posorient</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s1">'x'</span><span class="p">,</span> <span class="s1">'y'</span><span class="p">,</span> <span class="s1">'z'</span><span class="p">,</span>
- <span class="s1">'alpha_0'</span><span class="p">,</span> <span class="s1">'alpha_1'</span><span class="p">,</span> <span class="s1">'alpha_2'</span><span class="p">])</span>
-<span class="n">posorient</span><span class="o">.</span><span class="n">x</span> <span class="o">=</span> <span class="o">-</span><span class="mf">0.6</span>
-<span class="n">posorient</span><span class="o">.</span><span class="n">y</span> <span class="o">=</span> <span class="o">-</span><span class="mf">7.2</span>
-<span class="n">posorient</span><span class="o">.</span><span class="n">z</span> <span class="o">=</span> <span class="mf">2.35</span>
-<span class="n">posorient</span><span class="o">.</span><span class="n">alpha_0</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">/</span> <span class="mi">2</span>
-<span class="n">posorient</span><span class="o">.</span><span class="n">alpha_1</span> <span class="o">=</span> <span class="mi">0</span>
-<span class="n">posorient</span><span class="o">.</span><span class="n">alpha_2</span> <span class="o">=</span> <span class="mi">0</span>
-<span class="n">image</span> <span class="o">=</span> <span class="n">mydb</span><span class="o">.</span><span class="n">read_image</span><span class="p">(</span><span class="n">posorient</span><span class="o">=</span><span class="n">posorient</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>(<a class="reference external" href="./example/database/load_image_posorient.py">Source code</a>, <a class="reference external" href="./example/database/load_image_posorient.png">png</a>, <a class="reference external" href="./example/database/load_image_posorient.hires.png">hires.png</a>, <a class="reference external" href="./example/database/load_image_posorient.pdf">pdf</a>)</p>
-<div class="figure">
-<img alt="_images/load_image_posorient.png" src="_images/load_image_posorient.png" />
-</div>
-<p>However, looking in the database if an image has already been rendered at a given position-orientation can cost time. To speed up certain calculation, image can instead be access by row number. Indeed each position-orientation can be identified by a unique row number. This number is consistant through the entire database. Thus, an image can be loaded by providing the row number.</p>
-<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">rowid</span> <span class="o">=</span> <span class="mi">1000</span>
-<span class="n">image</span> <span class="o">=</span> <span class="n">mydb</span><span class="o">.</span><span class="n">read_image</span><span class="p">(</span><span class="n">rowid</span><span class="o">=</span><span class="n">rowid</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>(<a class="reference external" href="./example/database/load_image_rowid.py">Source code</a>, <a class="reference external" href="./example/database/load_image_rowid.png">png</a>, <a class="reference external" href="./example/database/load_image_rowid.hires.png">hires.png</a>, <a class="reference external" href="./example/database/load_image_rowid.pdf">pdf</a>)</p>
-<div class="figure">
-<img alt="_images/load_image_rowid.png" src="_images/load_image_rowid.png" />
-</div>
-</div>
-<dl class="class">
-<dt id="navipy.database.DataBaseLoad">
-<em class="property">class </em><code class="descclassname">navipy.database.</code><code class="descname">DataBaseLoad</code><span class="sig-paren">(</span><em>filename, channels=['R', 'G', 'B', 'D']</em><span class="sig-paren">)</span><a class="headerlink" href="#navipy.database.DataBaseLoad" title="Permalink to this definition">¶</a></dt>
-<dd><p>A database generated by the rendering module is based on sqlite3.</p>
-<dl class="attribute">
-<dt id="navipy.database.DataBaseLoad.create">
-<code class="descname">create</code><a class="headerlink" href="#navipy.database.DataBaseLoad.create" title="Permalink to this definition">¶</a></dt>
-<dd><p>use to decide weather to alter the database or not
-return False because we do not want
-to write on database (Load class)</p>
-</dd></dl>
-
-<dl class="method">
-<dt id="navipy.database.DataBaseLoad.iter_posorients">
-<code class="descname">iter_posorients</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#navipy.database.DataBaseLoad.iter_posorients" title="Permalink to this definition">¶</a></dt>
-<dd><p>Iter through all position orientation in the database</p>
-</dd></dl>
-
-<dl class="attribute">
-<dt id="navipy.database.DataBaseLoad.posorients">
-<code class="descname">posorients</code><a class="headerlink" href="#navipy.database.DataBaseLoad.posorients" title="Permalink to this definition">¶</a></dt>
-<dd><p>Return the position orientations of all points in the database</p>
-</dd></dl>
-
-</dd></dl>
-
-</div>
-
-
- </div>
- </div>
- </div>
- <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
- <div class="sphinxsidebarwrapper">
- <h3><a href="index.html">Table Of Contents</a></h3>
- <ul>
-<li><a class="reference internal" href="#">Database</a><ul>
-<li><a class="reference internal" href="#how-to-load-a-database">How to load a database</a></li>
-<li><a class="reference internal" href="#how-to-load-all-position-orientation">How to load all position-orientation</a></li>
-<li><a class="reference internal" href="#how-to-load-an-image">How to load an image</a></li>
-</ul>
-</li>
-</ul>
-<div class="relations">
-<h3>Related Topics</h3>
-<ul>
- <li><a href="index.html">Documentation overview</a><ul>
- <li>Previous: <a href="analysing.html" title="previous chapter">Analysing</a></li>
- </ul></li>
-</ul>
-</div>
- <div role="note" aria-label="source link">
- <h3>This Page</h3>
- <ul class="this-page-menu">
- <li><a href="_sources/database.rst.txt"
- rel="nofollow">Show Source</a></li>
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diff --git a/doc/build/html/example/database/load_image_posorient.hires.png b/doc/build/html/example/database/load_image_posorient.hires.png
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diff --git a/doc/build/html/example/database/load_image_posorient.py b/doc/build/html/example/database/load_image_posorient.py
deleted file mode 100644
index 6b22ef1fb72c755f8a79245045facf25651dd309..0000000000000000000000000000000000000000
--- a/doc/build/html/example/database/load_image_posorient.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import pandas as pd
-import numpy as np
-import matplotlib.pyplot as plt
-from navipy.database import DataBaseLoad
-import os
-
-
-# 1) Connect to the database
-mydb_filename = os.path.abspath('../database.db')
-mydb = DataBaseLoad(mydb_filename)
-# 2) Define the position-orinetation at which
-# we want the image
-posorient = pd.Series(index=['x', 'y', 'z',
- 'alpha_0', 'alpha_1', 'alpha_2'])
-posorient.x = 0.0
-posorient.y = -0.25
-posorient.z = 3.0
-posorient.alpha_0 = np.pi / 2
-posorient.alpha_1 = 0
-posorient.alpha_2 = 0
-# 3) Load the image
-image = mydb.read_image(posorient=posorient)
-# 4) plot the image
-to_plot_im = image[:, :, :3]
-to_plot_im -= to_plot_im.min()
-to_plot_im /= to_plot_im.max()
-to_plot_im = to_plot_im * 255
-to_plot_im = to_plot_im.astype(np.uint8)
-to_plot_dist = image[:, :, 3]
-
-plt.subplot(1, 2, 1)
-plt.imshow(to_plot_im)
-plt.gca().invert_yaxis()
-
-plt.subplot(1, 2, 2)
-plt.imshow(to_plot_dist)
-plt.gca().invert_yaxis()
-
-plt.show()
diff --git a/doc/build/html/example/database/load_image_rowid.hires.png b/doc/build/html/example/database/load_image_rowid.hires.png
deleted file mode 100644
index 966cfece606c2eeadec3c1467168b4f2cb0b2e58..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/database/load_image_rowid.pdf b/doc/build/html/example/database/load_image_rowid.pdf
deleted file mode 100644
index c1e500673b3e5aaa9bda9bd118f6a19720ccc2c2..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/database/load_image_rowid.png b/doc/build/html/example/database/load_image_rowid.png
deleted file mode 100644
index e74ecba342aa2e7ebbb1d69d0688615362dcc69b..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/database/load_image_rowid.py b/doc/build/html/example/database/load_image_rowid.py
deleted file mode 100644
index e67ab2a409c9d623b6a49733ecc738fabe076e7c..0000000000000000000000000000000000000000
--- a/doc/build/html/example/database/load_image_rowid.py
+++ /dev/null
@@ -1,31 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from navipy.database import DataBaseLoad
-import os
-
-
-# 1) Connect to the database
-mydb_filename = os.path.abspath('../database.db')
-mydb = DataBaseLoad(mydb_filename)
-# 2) Define the position-orinetation at which
-# we want the image
-rowid = 12
-# 3) Load the image
-image = mydb.read_image(rowid=rowid)
-# 4) plot the image
-to_plot_im = image[:, :, :3]
-to_plot_im -= to_plot_im.min()
-to_plot_im /= to_plot_im.max()
-to_plot_im = to_plot_im * 255
-to_plot_im = to_plot_im.astype(np.uint8)
-to_plot_dist = image[:, :, 3]
-
-plt.subplot(1, 2, 1)
-plt.imshow(to_plot_im)
-plt.gca().invert_yaxis()
-
-plt.subplot(1, 2, 2)
-plt.imshow(to_plot_dist)
-plt.gca().invert_yaxis()
-
-plt.show()
diff --git a/doc/build/html/example/processing/apcv.hires.png b/doc/build/html/example/processing/apcv.hires.png
deleted file mode 100644
index 53d3ec3a72b6ec0e4d2b0a9c4bd394e79d033be5..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/apcv.pdf b/doc/build/html/example/processing/apcv.pdf
deleted file mode 100644
index cd1fa5291580f521accb3ce68b8bb9406d41ee5a..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/apcv.png b/doc/build/html/example/processing/apcv.png
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index 16958738a2be1dc52c9026f34bea0acb9e6c7956..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/apcv.py b/doc/build/html/example/processing/apcv.py
deleted file mode 100644
index 00a9c1727e4da1c174e952c5250c0e280e2154a5..0000000000000000000000000000000000000000
--- a/doc/build/html/example/processing/apcv.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import matplotlib.pyplot as plt
-from navipy.database import DataBaseLoad
-import navipy.processing as processing
-import numpy as np
-import pkg_resources
-
-# 1) Connect to the database
-mydb_filename = pkg_resources.resource_filename(
- 'navipy', 'resources/database.db')
-mydb = DataBaseLoad(mydb_filename)
-# 2) Define the position-orinetation at which
-# we want the image
-rowid = 12
-my_scene = mydb.scene(rowid=rowid)
-my_apcv = processing.pcode.apcv(my_scene, mydb.viewing_directions)
-
-my_apcv_sph = processing.tools.cartesian_to_spherical(x=my_apcv[..., 0],
- y=my_apcv[..., 1],
- z=my_apcv[..., 2])
-elevation = mydb.viewing_directions[...,
- processing.constants.__spherical_indeces__[
- 'elevation']]
-azimuth = mydb.viewing_directions[...,
- processing.constants.__spherical_indeces__[
- 'azimuth']]
-
-
-f, axarr = plt.subplots(1, 2, figsize=(15, 4))
-
-to_plot_im = my_scene[:, :, :3, 0]
-to_plot_im -= to_plot_im.min()
-to_plot_im /= to_plot_im.max()
-to_plot_im = to_plot_im * 255
-to_plot_im = to_plot_im.astype(np.uint8)
-to_plot_dist = my_scene[:, :, 3, 0]
-ax = axarr[0]
-
-for chan_i, chan_n in enumerate(['R', 'G', 'B']):
- color = chan_n
- ax.plot(np.rad2deg(my_apcv_sph[..., chan_i, 1]),
- np.rad2deg(my_apcv_sph[..., chan_i, 0]), 'o', color=color)
-ax.imshow(to_plot_im, extent=[np.min(azimuth), np.max(azimuth),
- np.max(elevation), np.min(elevation)])
-ax.invert_yaxis()
-ax = axarr[1]
-color = 'k'
-ax.plot(np.rad2deg(my_apcv_sph[..., 3, 1]),
- np.rad2deg(my_apcv_sph[..., 3, 0]), 'o', color=color)
-
-ax.imshow(to_plot_dist, extent=[np.min(azimuth), np.max(azimuth),
- np.max(elevation), np.min(elevation)])
-ax.invert_yaxis()
-
-f.show()
diff --git a/doc/build/html/example/processing/contrast_weighted_nearness.hires.png b/doc/build/html/example/processing/contrast_weighted_nearness.hires.png
deleted file mode 100644
index 2a106386c962f774891c24844664d1a1b5b23f24..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/contrast_weighted_nearness.pdf b/doc/build/html/example/processing/contrast_weighted_nearness.pdf
deleted file mode 100644
index 00a86f5a9286e1433eb97a6ccc3a76b3a392f329..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/contrast_weighted_nearness.png b/doc/build/html/example/processing/contrast_weighted_nearness.png
deleted file mode 100644
index 0e8b0237f2b46694bdc5c08c6c85e890f381221a..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/contrast_weighted_nearness.py b/doc/build/html/example/processing/contrast_weighted_nearness.py
deleted file mode 100644
index 220863a1abe332baafab7d0bc5c24c3f23b932cf..0000000000000000000000000000000000000000
--- a/doc/build/html/example/processing/contrast_weighted_nearness.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import matplotlib.pyplot as plt
-from navipy.database import DataBaseLoad
-import navipy.processing as processing
-import pkg_resources
-
-
-# 1) Connect to the database
-mydb_filename = pkg_resources.resource_filename(
- 'navipy', 'resources/database.db')
-mydb = DataBaseLoad(mydb_filename)
-# 2) Define the position-orinetation at which
-# we want the image
-rowid = 12
-my_scene = mydb.scene(rowid=rowid)
-my_contrast = processing.pcode.contrast_weighted_nearness(my_scene)
-
-f, axarr = plt.subplots(2, 2, figsize=(15, 8))
-axarr = axarr.flatten()
-for chan_i, chan_n in enumerate(mydb.channels):
- ax = axarr[chan_i]
- ax.imshow(my_contrast[:, :, chan_i, 0])
- ax.set_title('channel: ' + chan_n)
- ax.invert_yaxis()
-
-f.show()
diff --git a/doc/build/html/example/processing/michelson_contrast.hires.png b/doc/build/html/example/processing/michelson_contrast.hires.png
deleted file mode 100644
index f28e1fedbabca15ba1e4ccf745fce290eb68e552..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/michelson_contrast.pdf b/doc/build/html/example/processing/michelson_contrast.pdf
deleted file mode 100644
index 7998e4acb5ba331bd4aed8621c4e6b24640c80e1..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/michelson_contrast.png b/doc/build/html/example/processing/michelson_contrast.png
deleted file mode 100644
index e8acf133dff78fc385fcd0a43ad7bf5d6d75a48c..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/michelson_contrast.py b/doc/build/html/example/processing/michelson_contrast.py
deleted file mode 100644
index e7bb58c764eac18c265467c1d9046838c222d8d3..0000000000000000000000000000000000000000
--- a/doc/build/html/example/processing/michelson_contrast.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import matplotlib.pyplot as plt
-from navipy.database import DataBaseLoad
-import navipy.processing as processing
-import pkg_resources
-
-
-# 1) Connect to the database
-mydb_filename = pkg_resources.resource_filename(
- 'navipy', 'resources/database.db')
-mydb = DataBaseLoad(mydb_filename)
-# 2) Define the position-orinetation at which
-# we want the image
-rowid = 12
-my_scene = mydb.scene(rowid=rowid)
-my_contrast = processing.pcode.michelson_contrast(my_scene)
-
-f, axarr = plt.subplots(2, 2, figsize=(15, 8))
-axarr = axarr.flatten()
-for chan_i, chan_n in enumerate(mydb.channels):
- ax = axarr[chan_i]
- ax.imshow(my_contrast[:, :, chan_i, 0])
- ax.set_title('channel: ' + chan_n)
- ax.invert_yaxis()
-
-f.show()
diff --git a/doc/build/html/example/processing/pcv.py b/doc/build/html/example/processing/pcv.py
deleted file mode 100644
index 6c2017ccb18e8489b38b03aa968051cf2816efd8..0000000000000000000000000000000000000000
--- a/doc/build/html/example/processing/pcv.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# import matplotlib.pyplot as plt
-from navipy.database import DataBaseLoad
-import navipy.processing as processing
-import pkg_resources
-
-
-# 1) Connect to the database
-mydb_filename = pkg_resources.resource_filename(
- 'navipy', 'resources/database.db')
-mydb = DataBaseLoad(mydb_filename)
-# 2) Define the position-orinetation at which
-# we want the image
-rowid = 12
-my_scene = mydb.scene(rowid=rowid)
-my_pcv = processing.pcode.pcv(my_scene, mydb.viewing_directions)
diff --git a/doc/build/html/example/processing/scene.hires.png b/doc/build/html/example/processing/scene.hires.png
deleted file mode 100644
index c2aa2c489d56e3cc3a12abe8b3903b2339ac0ef8..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/scene.pdf b/doc/build/html/example/processing/scene.pdf
deleted file mode 100644
index bb9e6262940d3b15c57ced166b1ca3409658959d..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/scene.png b/doc/build/html/example/processing/scene.png
deleted file mode 100644
index c2d44f9ac3c784a9b4a9e76a0a28e7080100a1e0..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/scene.py b/doc/build/html/example/processing/scene.py
deleted file mode 100644
index 79c699e2c1502b8d338d789ad1d00fb47808391f..0000000000000000000000000000000000000000
--- a/doc/build/html/example/processing/scene.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from navipy.database import DataBaseLoad
-import navipy.processing as processing
-import pkg_resources
-
-
-# 1) Connect to the database
-mydb_filename = pkg_resources.resource_filename(
- 'navipy', 'resources/database.db')
-mydb = DataBaseLoad(mydb_filename)
-# 2) Define the position-orinetation at which
-# we want the image and get the scene
-rowid = 12
-my_scene = processing.pcode.scene(mydb, rowid=rowid)
-
-
-f, axarr = plt.subplots(1, 2, figsize=(15, 4))
-
-to_plot_im = my_scene[:, :, :3, 0]
-to_plot_im -= to_plot_im.min()
-to_plot_im /= to_plot_im.max()
-to_plot_im = to_plot_im * 255
-to_plot_im = to_plot_im.astype(np.uint8)
-to_plot_dist = my_scene[:, :, 3, 0]
-
-ax = axarr[0]
-ax.imshow(to_plot_im)
-ax.invert_yaxis()
-
-ax = axarr[1]
-ax.imshow(to_plot_dist)
-ax.invert_yaxis()
-
-f.show()
diff --git a/doc/build/html/example/processing/skyline.hires.png b/doc/build/html/example/processing/skyline.hires.png
deleted file mode 100644
index 6bb5255948e7d83074a03091342917b2ded745a6..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/skyline.pdf b/doc/build/html/example/processing/skyline.pdf
deleted file mode 100644
index 1061869f8ccbce3b20d4e7b65d959c91b5097c22..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/skyline.png b/doc/build/html/example/processing/skyline.png
deleted file mode 100644
index 1621b63f665c4c0610c372b565fd8f535d5e73fd..0000000000000000000000000000000000000000
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diff --git a/doc/build/html/example/processing/skyline.py b/doc/build/html/example/processing/skyline.py
deleted file mode 100644
index 499bacb14a6b6f83fef09403fee3484646fd160d..0000000000000000000000000000000000000000
--- a/doc/build/html/example/processing/skyline.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import matplotlib.pyplot as plt
-from navipy.database import DataBaseLoad
-import navipy.processing as processing
-import pkg_resources
-
-
-# 1) Connect to the database
-mydb_filename = pkg_resources.resource_filename(
- 'navipy', 'resources/database.db')
-mydb = DataBaseLoad(mydb_filename)
-# 2) Define the position-orinetation at which
-# we want the image
-rowid = 12
-my_scene = mydb.scene(rowid=rowid)
-my_skyline = processing.pcode.skyline(my_scene)
-
-f, axarr = plt.subplots(1, 2, figsize=(15, 4))
-for chan_i, chan_n in enumerate(mydb.channels):
- if chan_n == 'D':
- color = 'k'
- ax = axarr[1]
- else:
- color = chan_n
- ax = axarr[0]
- ax.plot(my_skyline[0, :, chan_i, 0], color=color)
-
-f.show()
diff --git a/doc/build/html/genindex.html b/doc/build/html/genindex.html
deleted file mode 100644
index 82d47675e1ea03c7c284d91031972b348648a8fd..0000000000000000000000000000000000000000
--- a/doc/build/html/genindex.html
+++ /dev/null
@@ -1,185 +0,0 @@
-
-
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-
-<html xmlns="http://www.w3.org/1999/xhtml">
- <head>
- <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
- <title>Index — Navigation Toolbox a0 documentation</title>
- <link rel="stylesheet" href="_static/alabaster.css" type="text/css" />
- <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
- <script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT: './',
- VERSION: 'a0',
- COLLAPSE_INDEX: false,
- FILE_SUFFIX: '.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: '.txt'
- };
- </script>
- <script type="text/javascript" src="_static/jquery.js"></script>
- <script type="text/javascript" src="_static/underscore.js"></script>
- <script type="text/javascript" src="_static/doctools.js"></script>
- <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>
- <link rel="index" title="Index" href="#" />
- <link rel="search" title="Search" href="search.html" />
-
- <link rel="stylesheet" href="_static/custom.css" type="text/css" />
-
-
- <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
-
- </head>
- <body>
-
-
- <div class="document">
- <div class="documentwrapper">
- <div class="bodywrapper">
- <div class="body" role="main">
-
-
-<h1 id="index">Index</h1>
-
-<div class="genindex-jumpbox">
- <a href="#A"><strong>A</strong></a>
- | <a href="#C"><strong>C</strong></a>
- | <a href="#D"><strong>D</strong></a>
- | <a href="#I"><strong>I</strong></a>
- | <a href="#M"><strong>M</strong></a>
- | <a href="#N"><strong>N</strong></a>
- | <a href="#O"><strong>O</strong></a>
- | <a href="#P"><strong>P</strong></a>
- | <a href="#S"><strong>S</strong></a>
-
-</div>
-<h2 id="A">A</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="processing.html#navipy.processing.pcode.apcv">apcv() (in module navipy.processing.pcode)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="C">C</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="processing.html#navipy.processing.pcode.contrast_weighted_nearness">contrast_weighted_nearness() (in module navipy.processing.pcode)</a>
-</li>
- </ul></td>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="database.html#navipy.database.DataBaseLoad.create">create (navipy.database.DataBaseLoad attribute)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="D">D</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="database.html#navipy.database.DataBaseLoad">DataBaseLoad (class in navipy.database)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="I">I</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="database.html#navipy.database.DataBaseLoad.iter_posorients">iter_posorients() (navipy.database.DataBaseLoad method)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="M">M</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="processing.html#navipy.processing.pcode.michelson_contrast">michelson_contrast() (in module navipy.processing.pcode)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="N">N</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="database.html#module-navipy.database">navipy.database (module)</a>
-</li>
- </ul></td>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="processing.html#module-navipy.processing">navipy.processing (module)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="O">O</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="processing.html#navipy.processing.mcode.optic_flow">optic_flow() (in module navipy.processing.mcode)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="P">P</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="processing.html#navipy.processing.pcode.pcv">pcv() (in module navipy.processing.pcode)</a>
-</li>
- </ul></td>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="database.html#navipy.database.DataBaseLoad.posorients">posorients (navipy.database.DataBaseLoad attribute)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="S">S</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="processing.html#navipy.processing.pcode.skyline">skyline() (in module navipy.processing.pcode)</a>
-</li>
- </ul></td>
-</tr></table>
-
-
-
- </div>
- </div>
- </div>
- <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
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- <div class="relations">
-<h3>Related Topics</h3>
-<ul>
- <li><a href="index.html">Documentation overview</a><ul>
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-</ul>
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-<div class="toctree-wrapper compound">
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-<li class="toctree-l1"><a class="reference internal" href="rendering.html">Rendering</a></li>
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-<h1>Moving<a class="headerlink" href="#moving" title="Permalink to this headline">¶</a></h1>
-<div class="section" id="moving-on-a-grid">
-<h2>Moving on a grid<a class="headerlink" href="#moving-on-a-grid" title="Permalink to this headline">¶</a></h2>
-</div>
-<div class="section" id="moving-between-grid-points">
-<h2>Moving between grid points<a class="headerlink" href="#moving-between-grid-points" title="Permalink to this headline">¶</a></h2>
-<p>Interpolation of neighbouring images</p>
-</div>
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-<li><a class="reference internal" href="#moving-on-a-grid">Moving on a grid</a></li>
-<li><a class="reference internal" href="#moving-between-grid-points">Moving between grid points</a></li>
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-
- <div class="section" id="module-navipy.processing">
-<span id="processing-a-scene"></span><h1>Processing a scene<a class="headerlink" href="#module-navipy.processing" title="Permalink to this headline">¶</a></h1>
-<p>The scene processing part of the toolbox defines methodes
-to transform an image into a place code in the sense
-of Basten and Mallot (2010).</p>
-<p>The scene is either</p>
-<ul class="simple">
-<li>a 4d numpy array, used when the image is a equirectangular projection, i.e. a panoramic image.</li>
-<li>a 3d numpy array, used when the viewing direction can not be mapped/projected on a regular image (e.g. insect eye).</li>
-</ul>
-<p>We thus define the following for a scene:</p>
-<dl class="docutils">
-<dt>image based scene (IBS)</dt>
-<dd>A classical image. Each pixel is viewed in a direction
-(elevation,azimuth) in a regular manner.
-In that case the scene is a 4d numpy array
-[elevation-index,azimuth-index,channel-index,1].</dd>
-<dt>Omatidium based scene (OBS)</dt>
-<dd>In an ommatidia based scene, the viewing direction
-do not need to be regularally spaced.
-In that case the scene is a 3d numpy array
-[ommatidia-index, channel-index,1].</dd>
-</dl>
-<p>By extension a place-code is either image based or ommatidium based.
-The number of dimension of an ib-place-code is always 4, and of an
-ob-place-code always 3.</p>
-<dl class="docutils">
-<dt>image based place-code (IBPC)</dt>
-<dd>A place code derived from IBS. Each pixel is viewed in a direction
-(elevation,azimuth) in a regular manner.
-In that case the scene is a 4d numpy array
-[elevation-index,azimuth-index,channel-index,component-index].</dd>
-<dt>Omatidium based place-code (OBPC)</dt>
-<dd>A place code derived from OBS, the viewing direction
-do not need to be regularally spaced.
-In that case the scene is a 3d numpy array
-[ommatidia-index, channel-index,component-index].</dd>
-</dl>
-<p>Abusing the terminology of a place-code, a scene can be a place-code.
-Therefore ibs and obs have 4 and 3 dimension, respectively.</p>
-<div class="section" id="place-code">
-<h2>Place code<a class="headerlink" href="#place-code" title="Permalink to this headline">¶</a></h2>
-<div class="section" id="skyline">
-<h3>Skyline<a class="headerlink" href="#skyline" title="Permalink to this headline">¶</a></h3>
-<dl class="function">
-<dt id="navipy.processing.pcode.skyline">
-<code class="descclassname">navipy.processing.pcode.</code><code class="descname">skyline</code><span class="sig-paren">(</span><em>scene</em><span class="sig-paren">)</span><a class="headerlink" href="#navipy.processing.pcode.skyline" title="Permalink to this definition">¶</a></dt>
-<dd><p>Return the average along the elevation of a scene
-:param scene: the scenery at a given location (a 4d numpy array)
-:returns: the skyline [1,azimuth,channel,1]
-:rtype: np.ndarray</p>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="c1"># we want the image</span>
-<span class="n">rowid</span> <span class="o">=</span> <span class="mi">12</span>
-<span class="n">my_scene</span> <span class="o">=</span> <span class="n">mydb</span><span class="o">.</span><span class="n">scene</span><span class="p">(</span><span class="n">rowid</span><span class="o">=</span><span class="n">rowid</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>(<a class="reference external" href="./example/processing/skyline.py">Source code</a>, <a class="reference external" href="./example/processing/skyline.png">png</a>, <a class="reference external" href="./example/processing/skyline.hires.png">hires.png</a>, <a class="reference external" href="./example/processing/skyline.pdf">pdf</a>)</p>
-<div class="figure">
-<img alt="_images/skyline.png" src="_images/skyline.png" />
-</div>
-</dd></dl>
-
-</div>
-<div class="section" id="michelson-contrast">
-<h3>Michelson-contrast<a class="headerlink" href="#michelson-contrast" title="Permalink to this headline">¶</a></h3>
-<dl class="function">
-<dt id="navipy.processing.pcode.michelson_contrast">
-<code class="descclassname">navipy.processing.pcode.</code><code class="descname">michelson_contrast</code><span class="sig-paren">(</span><em>scene</em>, <em>size=3</em><span class="sig-paren">)</span><a class="headerlink" href="#navipy.processing.pcode.michelson_contrast" title="Permalink to this definition">¶</a></dt>
-<dd><p>Return the michelson constrast</p>
-<div class="math">
-\[\frac{I_\text{max}-I_\text{min}}{I_\text{max}+I_\text{min}}\]</div>
-<p>with <span class="math">\(I_\text{max}\)</span> and <span class="math">\(I_\text{min}\)</span> representing the highest and lowest luminance in an image region around each pixel.</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>scene</strong> – an image based scene</li>
-<li><strong>size</strong> – the size of the region to calculate the maximum and minimum of the local image intensity</li>
-</ul>
-</td>
-</tr>
-<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the michelson-contrast</p>
-</td>
-</tr>
-<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">np.ndarray</p>
-</td>
-</tr>
-</tbody>
-</table>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="c1"># we want the image</span>
-<span class="n">rowid</span> <span class="o">=</span> <span class="mi">12</span>
-<span class="n">my_scene</span> <span class="o">=</span> <span class="n">mydb</span><span class="o">.</span><span class="n">scene</span><span class="p">(</span><span class="n">rowid</span><span class="o">=</span><span class="n">rowid</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>(<a class="reference external" href="./example/processing/michelson_contrast.py">Source code</a>, <a class="reference external" href="./example/processing/michelson_contrast.png">png</a>, <a class="reference external" href="./example/processing/michelson_contrast.hires.png">hires.png</a>, <a class="reference external" href="./example/processing/michelson_contrast.pdf">pdf</a>)</p>
-<div class="figure">
-<img alt="_images/michelson_contrast.png" src="_images/michelson_contrast.png" />
-</div>
-</dd></dl>
-
-</div>
-<div class="section" id="contrast-weighted-nearness">
-<h3>Contrast-weighted-nearness<a class="headerlink" href="#contrast-weighted-nearness" title="Permalink to this headline">¶</a></h3>
-<dl class="function">
-<dt id="navipy.processing.pcode.contrast_weighted_nearness">
-<code class="descclassname">navipy.processing.pcode.</code><code class="descname">contrast_weighted_nearness</code><span class="sig-paren">(</span><em>scene</em>, <em>contrast_size=3</em>, <em>distance_channel=3</em><span class="sig-paren">)</span><a class="headerlink" href="#navipy.processing.pcode.contrast_weighted_nearness" title="Permalink to this definition">¶</a></dt>
-<dd><p>Return the michelson contrast wheighted nearness</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 last simple">
-<li><strong>scene</strong> – an image based scene</li>
-<li><strong>contrast_size</strong> – the size of the region to calculate the maximum and minimum of the local image intensity in the michelson-contrast.</li>
-<li><strong>distance_channel</strong> – the index of the distance-channel.</li>
-</ul>
-</td>
-</tr>
-</tbody>
-</table>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">rowid</span> <span class="o">=</span> <span class="mi">12</span>
-<span class="n">my_scene</span> <span class="o">=</span> <span class="n">mydb</span><span class="o">.</span><span class="n">scene</span><span class="p">(</span><span class="n">rowid</span><span class="o">=</span><span class="n">rowid</span><span class="p">)</span>
-<span class="n">my_contrast</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">pcode</span><span class="o">.</span><span class="n">contrast_weighted_nearness</span><span class="p">(</span><span class="n">my_scene</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>(<a class="reference external" href="./example/processing/contrast_weighted_nearness.py">Source code</a>, <a class="reference external" href="./example/processing/contrast_weighted_nearness.png">png</a>, <a class="reference external" href="./example/processing/contrast_weighted_nearness.hires.png">hires.png</a>, <a class="reference external" href="./example/processing/contrast_weighted_nearness.pdf">pdf</a>)</p>
-<div class="figure">
-<img alt="_images/contrast_weighted_nearness.png" src="_images/contrast_weighted_nearness.png" />
-</div>
-</dd></dl>
-
-</div>
-<div class="section" id="place-code-vectors">
-<h3>Place-code vectors<a class="headerlink" href="#place-code-vectors" title="Permalink to this headline">¶</a></h3>
-<dl class="function">
-<dt id="navipy.processing.pcode.pcv">
-<code class="descclassname">navipy.processing.pcode.</code><code class="descname">pcv</code><span class="sig-paren">(</span><em>place_code</em>, <em>viewing_directions</em><span class="sig-paren">)</span><a class="headerlink" href="#navipy.processing.pcode.pcv" title="Permalink to this definition">¶</a></dt>
-<dd><p>Place code vectors</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>place_code</strong> – the place code at a given location (e.g. an ibs scene)</li>
-<li><strong>viewing_directions</strong> – viewing direction of each pixel</li>
-</ul>
-</td>
-</tr>
-<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the place code vectors in cartesian coordinates</p>
-</td>
-</tr>
-<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">(np.ndarray)</p>
-</td>
-</tr>
-</tbody>
-</table>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">rowid</span> <span class="o">=</span> <span class="mi">12</span>
-<span class="n">my_scene</span> <span class="o">=</span> <span class="n">mydb</span><span class="o">.</span><span class="n">scene</span><span class="p">(</span><span class="n">rowid</span><span class="o">=</span><span class="n">rowid</span><span class="p">)</span>
-<span class="n">my_pcv</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">pcode</span><span class="o">.</span><span class="n">pcv</span><span class="p">(</span><span class="n">my_scene</span><span class="p">,</span> <span class="n">mydb</span><span class="o">.</span><span class="n">viewing_directions</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>(<a class="reference external" href="./example/processing/pcv.py">Source code</a>)</p>
-</dd></dl>
-
-</div>
-<div class="section" id="average-place-code-vector">
-<h3>Average place-code vector<a class="headerlink" href="#average-place-code-vector" title="Permalink to this headline">¶</a></h3>
-<dl class="function">
-<dt id="navipy.processing.pcode.apcv">
-<code class="descclassname">navipy.processing.pcode.</code><code class="descname">apcv</code><span class="sig-paren">(</span><em>place_code</em>, <em>viewing_directions</em><span class="sig-paren">)</span><a class="headerlink" href="#navipy.processing.pcode.apcv" title="Permalink to this definition">¶</a></dt>
-<dd><p>Calculate the average scene vector</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>place_code</strong> – the place code at a given location (e.g. an ibs scene)</li>
-<li><strong>viewing_directions</strong> – viewing direction of each pixel</li>
-</ul>
-</td>
-</tr>
-<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">the average place-code vector</p>
-</td>
-</tr>
-<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">(np.ndarray)</p>
-</td>
-</tr>
-</tbody>
-</table>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">rowid</span> <span class="o">=</span> <span class="mi">12</span>
-<span class="n">my_scene</span> <span class="o">=</span> <span class="n">mydb</span><span class="o">.</span><span class="n">scene</span><span class="p">(</span><span class="n">rowid</span><span class="o">=</span><span class="n">rowid</span><span class="p">)</span>
-<span class="n">my_apcv</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">pcode</span><span class="o">.</span><span class="n">apcv</span><span class="p">(</span><span class="n">my_scene</span><span class="p">,</span> <span class="n">mydb</span><span class="o">.</span><span class="n">viewing_directions</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>(<a class="reference external" href="./example/processing/apcv.py">Source code</a>, <a class="reference external" href="./example/processing/apcv.png">png</a>, <a class="reference external" href="./example/processing/apcv.hires.png">hires.png</a>, <a class="reference external" href="./example/processing/apcv.pdf">pdf</a>)</p>
-<div class="figure">
-<img alt="_images/apcv.png" src="_images/apcv.png" />
-</div>
-</dd></dl>
-
-</div>
-</div>
-<div class="section" id="motion-code">
-<h2>Motion code<a class="headerlink" href="#motion-code" title="Permalink to this headline">¶</a></h2>
-<div class="section" id="optic-flow">
-<h3>Optic flow<a class="headerlink" href="#optic-flow" title="Permalink to this headline">¶</a></h3>
-<dl class="function">
-<dt id="navipy.processing.mcode.optic_flow">
-<code class="descclassname">navipy.processing.mcode.</code><code class="descname">optic_flow</code><span class="sig-paren">(</span><em>scene</em>, <em>viewing_directions</em>, <em>velocity</em>, <em>distance_channel=3</em><span class="sig-paren">)</span><a class="headerlink" href="#navipy.processing.mcode.optic_flow" title="Permalink to this definition">¶</a></dt>
-<dd><p>optic flow</p>
-</dd></dl>
-
-</div>
-</div>
-</div>
-
-
- </div>
- </div>
- </div>
- <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
- <div class="sphinxsidebarwrapper">
- <h3><a href="index.html">Table Of Contents</a></h3>
- <ul>
-<li><a class="reference internal" href="#">Processing a scene</a><ul>
-<li><a class="reference internal" href="#place-code">Place code</a><ul>
-<li><a class="reference internal" href="#skyline">Skyline</a></li>
-<li><a class="reference internal" href="#michelson-contrast">Michelson-contrast</a></li>
-<li><a class="reference internal" href="#contrast-weighted-nearness">Contrast-weighted-nearness</a></li>
-<li><a class="reference internal" href="#place-code-vectors">Place-code vectors</a></li>
-<li><a class="reference internal" href="#average-place-code-vector">Average place-code vector</a></li>
-</ul>
-</li>
-<li><a class="reference internal" href="#motion-code">Motion code</a><ul>
-<li><a class="reference internal" href="#optic-flow">Optic flow</a></li>
-</ul>
-</li>
-</ul>
-</li>
-</ul>
-<div class="relations">
-<h3>Related Topics</h3>
-<ul>
- <li><a href="index.html">Documentation overview</a><ul>
- <li>Previous: <a href="rendering.html" title="previous chapter">Rendering</a></li>
- <li>Next: <a href="comparing.html" title="next chapter">Comparing</a></li>
- </ul></li>
-</ul>
-</div>
- <div role="note" aria-label="source link">
- <h3>This Page</h3>
- <ul class="this-page-menu">
- <li><a href="_sources/processing.rst.txt"
- rel="nofollow">Show Source</a></li>
- </ul>
- </div>
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- <h3>Quick search</h3>
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diff --git a/doc/build/html/py-modindex.html b/doc/build/html/py-modindex.html
deleted file mode 100644
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--- a/doc/build/html/py-modindex.html
+++ /dev/null
@@ -1,113 +0,0 @@
-
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-
-<html xmlns="http://www.w3.org/1999/xhtml">
- <head>
- <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
- <title>Python Module Index — Navigation Toolbox a0 documentation</title>
- <link rel="stylesheet" href="_static/alabaster.css" type="text/css" />
- <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
- <script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT: './',
- VERSION: 'a0',
- COLLAPSE_INDEX: false,
- FILE_SUFFIX: '.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: '.txt'
- };
- </script>
- <script type="text/javascript" src="_static/jquery.js"></script>
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- <link rel="index" title="Index" href="genindex.html" />
- <link rel="search" title="Search" href="search.html" />
-
-
- <link rel="stylesheet" href="_static/custom.css" type="text/css" />
-
-
- <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
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-
- </head>
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-
-
- <div class="document">
- <div class="documentwrapper">
- <div class="bodywrapper">
- <div class="body" role="main">
-
-
- <h1>Python Module Index</h1>
-
- <div class="modindex-jumpbox">
- <a href="#cap-n"><strong>n</strong></a>
- </div>
-
- <table class="indextable modindextable">
- <tr class="pcap"><td></td><td> </td><td></td></tr>
- <tr class="cap" id="cap-n"><td></td><td>
- <strong>n</strong></td><td></td></tr>
- <tr>
- <td><img src="_static/minus.png" class="toggler"
- id="toggle-1" style="display: none" alt="-" /></td>
- <td>
- <code class="xref">navipy</code></td><td>
- <em></em></td></tr>
- <tr class="cg-1">
- <td></td>
- <td>   
- <a href="database.html#module-navipy.database"><code class="xref">navipy.database</code></a></td><td>
- <em></em></td></tr>
- <tr class="cg-1">
- <td></td>
- <td>   
- <a href="processing.html#module-navipy.processing"><code class="xref">navipy.processing</code></a></td><td>
- <em></em></td></tr>
- </table>
-
-
- </div>
- </div>
- </div>
- <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
- <div class="sphinxsidebarwrapper"><div class="relations">
-<h3>Related Topics</h3>
-<ul>
- <li><a href="index.html">Documentation overview</a><ul>
- </ul></li>
-</ul>
-</div>
-<div id="searchbox" style="display: none" role="search">
- <h3>Quick search</h3>
- <form class="search" action="search.html" method="get">
- <div><input type="text" name="q" /></div>
- <div><input type="submit" value="Go" /></div>
- <input type="hidden" name="check_keywords" value="yes" />
- <input type="hidden" name="area" value="default" />
- </form>
-</div>
-<script type="text/javascript">$('#searchbox').show(0);</script>
- </div>
- </div>
- <div class="clearer"></div>
- </div>
- <div class="footer">
- ©2017, Olivier J.N. Bertrand.
-
- |
- Powered by <a href="http://sphinx-doc.org/">Sphinx 1.6.5</a>
- & <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
-
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-
-
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-
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-</html>
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diff --git a/doc/build/html/rendering.html b/doc/build/html/rendering.html
deleted file mode 100644
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--- a/doc/build/html/rendering.html
+++ /dev/null
@@ -1,184 +0,0 @@
-
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-
-<html xmlns="http://www.w3.org/1999/xhtml">
- <head>
- <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
- <title>Rendering — Navigation Toolbox a0 documentation</title>
- <link rel="stylesheet" href="_static/alabaster.css" type="text/css" />
- <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
- <script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT: './',
- VERSION: 'a0',
- COLLAPSE_INDEX: false,
- FILE_SUFFIX: '.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: '.txt'
- };
- </script>
- <script type="text/javascript" src="_static/jquery.js"></script>
- <script type="text/javascript" src="_static/underscore.js"></script>
- <script type="text/javascript" src="_static/doctools.js"></script>
- <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>
- <link rel="index" title="Index" href="genindex.html" />
- <link rel="search" title="Search" href="search.html" />
- <link rel="next" title="Processing a scene" href="processing.html" />
- <link rel="prev" title="Getting started" href="gettingstarted.html" />
-
- <link rel="stylesheet" href="_static/custom.css" type="text/css" />
-
-
- <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
-
- </head>
- <body>
-
-
- <div class="document">
- <div class="documentwrapper">
- <div class="bodywrapper">
- <div class="body" role="main">
-
- <div class="section" id="rendering">
-<h1>Rendering<a class="headerlink" href="#rendering" title="Permalink to this headline">¶</a></h1>
-<p>Need to introduce blender here</p>
-<div class="section" id="building-your-environment">
-<h2>Building your environment<a class="headerlink" href="#building-your-environment" title="Permalink to this headline">¶</a></h2>
-</div>
-<div class="section" id="how-to-generate-a-database-using-blender">
-<h2>How to generate a database using blender<a class="headerlink" href="#how-to-generate-a-database-using-blender" title="Permalink to this headline">¶</a></h2>
-<div class="section" id="regular-sampling">
-<h3>Regular sampling<a class="headerlink" href="#regular-sampling" title="Permalink to this headline">¶</a></h3>
-<p>Blender comes with its own python installation. Thus, we need to tell blender to use our virtualenv where the navigation toolbox is installed. To do we need to import the os module</p>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
-<span class="kn">import</span> <span class="nn">tempfile</span>
-</pre></div>
-</div>
-<p>then activate the environment:</p>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">activate_virtualenv</span><span class="p">(</span><span class="n">name</span><span class="p">):</span>
- <span class="sd">"""Activate given virtualenv.</span>
-<span class="sd"> Virtualenv home folder is given by environment variable</span>
-<span class="sd"> ``WORKON_HOME`` or ``~/Envs`.</span>
-<span class="sd"> """</span>
- <span class="k">if</span> <span class="s1">'WORKON_HOME'</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">:</span>
- <span class="n">home</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s1">'WORKON_HOME'</span><span class="p">]</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">home</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">expanduser</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'~'</span><span class="p">,</span> <span class="s1">'Envs'</span><span class="p">))</span>
- <span class="n">filepath</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">home</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="s1">'bin'</span><span class="p">,</span> <span class="s1">'activate_this.py'</span><span class="p">)</span>
- <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="s1">'r'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
- <span class="n">exec</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">(),</span> <span class="nb">dict</span><span class="p">(</span><span class="vm">__file__</span><span class="o">=</span><span class="n">filepath</span><span class="p">))</span>
-
-
-<span class="n">activate_virtualenv</span><span class="p">(</span><span class="n">environment_name</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Now, blender can import all modules used by the navigation toolbox.</p>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> <span class="c1"># noqa: E402</span>
-<span class="kn">from</span> <span class="nn">navipy.rendering.bee_sampling</span> <span class="k">import</span> <span class="n">BeeSampling</span> <span class="c1"># noqa: E402</span>
-</pre></div>
-</div>
-<p>With the toolbox at disposition we just need to configure the BeeSampling to render images on a regular 3D grid.</p>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">bee_samp</span> <span class="o">=</span> <span class="n">BeeSampling</span><span class="p">()</span>
-</pre></div>
-</div>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="o">-</span><span class="mi">25</span><span class="p">,</span> <span class="mi">25</span><span class="p">,</span> <span class="mi">201</span><span class="p">)</span>
-<span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="o">-</span><span class="mi">25</span><span class="p">,</span> <span class="mi">25</span><span class="p">,</span> <span class="mi">201</span><span class="p">)</span>
-<span class="n">z</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mf">1.8</span><span class="p">,</span> <span class="mf">1.8</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
-<span class="n">alpha_1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">0</span><span class="p">])</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">/</span> <span class="mi">2</span>
-<span class="n">alpha_2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">0</span><span class="p">])</span>
-<span class="n">alpha_3</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">0</span><span class="p">])</span>
-<span class="n">bee_samp</span><span class="o">.</span><span class="n">create_sampling_grid</span><span class="p">(</span>
- <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">z</span><span class="p">,</span> <span class="n">alpha1</span><span class="o">=</span><span class="n">alpha_1</span><span class="p">,</span> <span class="n">alpha2</span><span class="o">=</span><span class="n">alpha_2</span><span class="p">,</span> <span class="n">alpha3</span><span class="o">=</span><span class="n">alpha_3</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>If we want to use the distance to objects, we need to tell the BeeSampling what is the maximum distance to objects in the environment. Otherwise the distance can go until infinity, and since the image are compressed in the database, all distance to object will be equal to zero:</p>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">world_dim</span> <span class="o">=</span> <span class="mi">50</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
-<span class="n">bee_samp</span><span class="o">.</span><span class="n">world_dim</span> <span class="o">=</span> <span class="n">world_dim</span>
-</pre></div>
-</div>
-<p>Finally we can generate the database.</p>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="k">with</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">TemporaryDirectory</span><span class="p">()</span> <span class="k">as</span> <span class="n">folder</span><span class="p">:</span>
- <span class="n">bee_samp</span><span class="o">.</span><span class="n">render</span><span class="p">(</span><span class="n">folder</span> <span class="o">+</span> <span class="s1">'/database.db'</span><span class="p">)</span>
-</pre></div>
-</div>
-</div>
-<div class="section" id="how-to-test-the-script">
-<h3>How to test the script:<a class="headerlink" href="#how-to-test-the-script" title="Permalink to this headline">¶</a></h3>
-<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">blender</span> <span class="n">test</span><span class="o">.</span><span class="n">blend</span> <span class="o">--</span><span class="n">background</span> <span class="o">--</span><span class="n">python</span> <span class="n">demo_test</span><span class="o">.</span><span class="n">py</span>
-</pre></div>
-</div>
-</div>
-</div>
-<div class="section" id="cyberbee">
-<h2>Cyberbee<a class="headerlink" href="#cyberbee" title="Permalink to this headline">¶</a></h2>
-</div>
-</div>
-
-
- </div>
- </div>
- </div>
- <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
- <div class="sphinxsidebarwrapper">
- <h3><a href="index.html">Table Of Contents</a></h3>
- <ul>
-<li><a class="reference internal" href="#">Rendering</a><ul>
-<li><a class="reference internal" href="#building-your-environment">Building your environment</a></li>
-<li><a class="reference internal" href="#how-to-generate-a-database-using-blender">How to generate a database using blender</a><ul>
-<li><a class="reference internal" href="#regular-sampling">Regular sampling</a></li>
-<li><a class="reference internal" href="#how-to-test-the-script">How to test the script:</a></li>
-</ul>
-</li>
-<li><a class="reference internal" href="#cyberbee">Cyberbee</a></li>
-</ul>
-</li>
-</ul>
-<div class="relations">
-<h3>Related Topics</h3>
-<ul>
- <li><a href="index.html">Documentation overview</a><ul>
- <li>Previous: <a href="gettingstarted.html" title="previous chapter">Getting started</a></li>
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--- a/doc/build/html/searchindex.js
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