<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html><head><title>Python: module telemetry.internal.image_processing.cv_util</title>
<meta charset="utf-8">
</head><body bgcolor="#f0f0f8">
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="heading">
<tr bgcolor="#7799ee">
<td valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"> <br><big><big><strong><a href="telemetry.html"><font color="#ffffff">telemetry</font></a>.<a href="telemetry.internal.html"><font color="#ffffff">internal</font></a>.<a href="telemetry.internal.image_processing.html"><font color="#ffffff">image_processing</font></a>.cv_util</strong></big></big></font></td
><td align=right valign=bottom
><font color="#ffffff" face="helvetica, arial"><a href=".">index</a><br><a href="../telemetry/internal/image_processing/cv_util.py">telemetry/internal/image_processing/cv_util.py</a></font></td></tr></table>
<p><tt>This module provides implementations of common computer Vision operations.</tt></p>
<p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#aa55cc">
<td colspan=3 valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Modules</strong></big></font></td></tr>
<tr><td bgcolor="#aa55cc"><tt> </tt></td><td> </td>
<td width="100%"><table width="100%" summary="list"><tr><td width="25%" valign=top><a href="telemetry.internal.util.external_modules.html">telemetry.internal.util.external_modules</a><br>
</td><td width="25%" valign=top><a href="numpy.html">numpy</a><br>
</td><td width="25%" valign=top></td><td width="25%" valign=top></td></tr></table></td></tr></table><p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#eeaa77">
<td colspan=3 valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Functions</strong></big></font></td></tr>
<tr><td bgcolor="#eeaa77"><tt> </tt></td><td> </td>
<td width="100%"><dl><dt><a name="-AreLinesOrthogonal"><strong>AreLinesOrthogonal</strong></a>(line1, line2, tolerance)</dt><dd><tt>Returns true if lines are within tolerance radians of being orthogonal.</tt></dd></dl>
<dl><dt><a name="-ExtendLines"><strong>ExtendLines</strong></a>(lines, length)</dt><dd><tt>Extends lines in an array to a given length, maintaining the center<br>
point. Does not necessarily maintain point order.</tt></dd></dl>
<dl><dt><a name="-FindLineIntersection"><strong>FindLineIntersection</strong></a>(line1, line2)</dt><dd><tt>If the line segments intersect, returns True and their intersection.<br>
Otherwise, returns False and the intersection of the line segments if they<br>
were to be extended.</tt></dd></dl>
<dl><dt><a name="-IsPointApproxOnLine"><strong>IsPointApproxOnLine</strong></a>(point, line, tolerance<font color="#909090">=1</font>)</dt><dd><tt>Approximates distance between point and line for small distances using<br>
the determinant and checks whether it's within the tolerance. Tolerance is<br>
an approximate distance in pixels, precision decreases with distance.</tt></dd></dl>
<dl><dt><a name="-SqDistance"><strong>SqDistance</strong></a>(point1, point2)</dt><dd><tt>Computes the square of the distance between two points.</tt></dd></dl>
<dl><dt><a name="-SqDistances"><strong>SqDistances</strong></a>(points1, points2)</dt><dd><tt>Computes the square of the distance between two sets of points, or a<br>
set of points and a point.</tt></dd></dl>
</td></tr></table><p>
<table width="100%" cellspacing=0 cellpadding=2 border=0 summary="section">
<tr bgcolor="#55aa55">
<td colspan=3 valign=bottom> <br>
<font color="#ffffff" face="helvetica, arial"><big><strong>Data</strong></big></font></td></tr>
<tr><td bgcolor="#55aa55"><tt> </tt></td><td> </td>
<td width="100%"><strong>division</strong> = _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192)</td></tr></table>
</body></html>