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Creates all necessary files. Instructions are taken from here : http://guide.python-distribute.org/creation.html Some steps are still to be performed. Reported-by: Julien Lengrand-Lambert Signed-off-by: Julien Lengrand-Lambert <julien@lengrandlambert.fr>
81 lines
5.3 KiB
HTML
81 lines
5.3 KiB
HTML
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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
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<html><head><title>Python: module tippy.statistics</title>
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</head><body bgcolor="#f0f0f8">
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<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="heading">
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<tr bgcolor="#7799ee">
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<td valign=bottom> <br>
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<font color="#ffffff" face="helvetica, arial"> <br><big><big><strong><a href="tippy.html"><font color="#ffffff">tippy</font></a>.statistics</strong></big></big></font></td
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><td align=right valign=bottom
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><font color="#ffffff" face="helvetica, arial"><a href=".">index</a><br><a href="file:/home/jlengrand/git/Tippy/tippy/statistics.py">/home/jlengrand/git/Tippy/tippy/statistics.py</a></font></td></tr></table>
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<p><tt>Contains functions related to statistics processing. <br>
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<br>
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Created on Dec 11, 2011<br>
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<br>
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@author: Julien Lengrand-Lambert<br>
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@email: julien@lengrand.fr</tt></p>
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<p>
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<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
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<tr bgcolor="#aa55cc">
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<td colspan=3 valign=bottom> <br>
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<font color="#ffffff" face="helvetica, arial"><big><strong>Modules</strong></big></font></td></tr>
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<tr><td bgcolor="#aa55cc"><tt> </tt></td><td> </td>
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<td width="100%"><table width="100%" summary="list"><tr><td width="25%" valign=top><a href="cv.html">cv</a><br>
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</td><td width="25%" valign=top><a href="sys.html">sys</a><br>
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</td><td width="25%" valign=top></td><td width="25%" valign=top></td></tr></table></td></tr></table><p>
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<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
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<tr bgcolor="#ee77aa">
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<td colspan=3 valign=bottom> <br>
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<font color="#ffffff" face="helvetica, arial"><big><strong>Classes</strong></big></font></td></tr>
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<tr><td bgcolor="#ee77aa"><tt> </tt></td><td> </td>
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<td width="100%"><dl>
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<dt><font face="helvetica, arial"><a href="tippy.statistics.html#Histogram">Histogram</a>
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</font></dt></dl>
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<p>
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<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
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<tr bgcolor="#ffc8d8">
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<td colspan=3 valign=bottom> <br>
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<font color="#000000" face="helvetica, arial"><a name="Histogram">class <strong>Histogram</strong></a></font></td></tr>
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<tr bgcolor="#ffc8d8"><td rowspan=2><tt> </tt></td>
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<td colspan=2><tt>This class is designed to contain an openCV class plus some more information<br>
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to ease further operations.<br>
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<br>
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NOTE : Supports only 8 bits images for now. <br>
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More should be added soon.<br> </tt></td></tr>
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<tr><td> </td>
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<td width="100%">Methods defined here:<br>
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<dl><dt><a name="Histogram-__init__"><strong>__init__</strong></a>(self, img, bin_fact<font color="#909090">=8L</font>, min_range<font color="#909090">=0</font>)</dt></dl>
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<dl><dt><a name="Histogram-channel_to_image"><strong>channel_to_image</strong></a>(self, chan, scale_x<font color="#909090">=3</font>, scale_y<font color="#909090">=3</font>, y_range<font color="#909090">=64</font>)</dt><dd><tt>Creates an iplimage displaying histogram results after its computation</tt></dd></dl>
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<dl><dt><a name="Histogram-compute_histogram"><strong>compute_histogram</strong></a>(self, img, bin_fact<font color="#909090">=8L</font>, min_range<font color="#909090">=0</font>)</dt><dd><tt>Creates the histogram of the input image<br>
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<br>
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Returns a Tippy histogram, with one item by channel of input image.<br>
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The number of bins is 2^bin_fact (256 by default)<br>
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min_range is the value of the lowest bin<br>
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max_range is automatically calculated using the input image depth. <br>
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max_range = (2^img_depth)<br>
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<br>
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NOTE : Supports only 8 bits images for now. <br>
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More should be added soon.</tt></dd></dl>
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<dl><dt><a name="Histogram-to_images"><strong>to_images</strong></a>(self, scale_x<font color="#909090">=3</font>, scale_y<font color="#909090">=3</font>, y_range<font color="#909090">=64</font>)</dt><dd><tt>Creates a graphical representation of an histogram.<br>
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Outputs a list of nChannels iplimages, one for each channel of the <br>
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histogram. <br>
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The images should have the same depth as the image used to create the <br>
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histogram.</tt></dd></dl>
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<dl><dt><a name="Histogram-to_tables"><strong>to_tables</strong></a>(self)</dt><dd><tt>Transforms an histogram into a list of values.<br>
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This way, it is easier to process for calculations.<br>
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<br>
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Returns a list of nChannels items.<br>
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<br>
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NOTE : Supports only 8 bits images for now. <br>
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More should be added soon.</tt></dd></dl>
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</td></tr></table></td></tr></table>
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</body></html> |