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https://github.com/bspeice/libcvautomation
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55 lines
3.4 KiB
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55 lines
3.4 KiB
HTML
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html><head><meta http-equiv="Content-Type" content="text/html;charset=iso-8859-1">
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<title>libcvautomation: </title>
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<link href="doxygen.css" rel="stylesheet" type="text/css">
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<link href="tabs.css" rel="stylesheet" type="text/css">
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</head><body>
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<!-- Generated by Doxygen 1.4.7 -->
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<div class="tabs">
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<ul>
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<li><a href="index.html"><span>Main Page</span></a></li>
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<li><a href="annotated.html"><span>Classes</span></a></li>
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<li><a href="files.html"><span>Files</span></a></li>
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<li><a href="pages.html"><span>Related Pages</span></a></li>
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<li>
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<form action="search.php" method="get">
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<table cellspacing="0" cellpadding="0" border="0">
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<tr>
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<td><label> <u>S</u>earch for </label></td>
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<td><input type="text" name="query" value="" size="20" accesskey="s"/></td>
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</tr>
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</table>
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</form>
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</li>
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</ul></div>
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<dl compact><dt><b>Author:</b></dt><dd>Bradlee Speice <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>> </dd></dl>
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<dl compact><dt><b>Date:</b></dt><dd>7/11/2012 </dd></dl>
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<h2><a class="anchor" name="usage">
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Usage:</a></h2>
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This program uses OpenCV in order to recognize an image within an image. The return code is how many matches were found - return 0 for no matches, 1 for one match, etc.<h2><a class="anchor" name="example">
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Example Usage:</a></h2>
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Match two images against the root X11 window:<p>
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cva-match --x-root -s "<image_name>" -s "<image_name_2>"<p>
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Match a root and sub image with a custom tolerance and search method<p>
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cva-match -r "<root_image>" -s "<image_name>" -o 75 -m 1<h2><a class="anchor" name="options">
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Full Options:</a></h2>
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-h, --help: Display this usage message.<p>
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-u, --usage: Display this usage message.<p>
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-r, --root-image: Location of the root image to compare against.<p>
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-s, --sub-image: Location of the sub-image to find in root.<p>
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-p, --separator: Separator of the X and Y coordinates.<p>
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-t, --tolerance: Set how strict the match is - 100 is recommended lowest value.<p>
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<dl compact><dt><b>Note:</b></dt><dd>When using CCORR or CCOEFF tolerance works in opposite direction, so -50 is recommended highest value.</dd></dl>
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-m, --search-method: Set which method is used to search for sub-images.<p>
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<dl compact><dt><b>Note:</b></dt><dd>Search Methods: CV_TM_SQDIFF = 0, CV_TM_SQDIFF_NORMED = 1, CV_TM_CCORR = 2, CV_TM_CCORR_NORMED = 3, CV_TM_CCOEFF = 4, CV_TM_COEFF_NORMED = 5</dd></dl>
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-x, --x-root[=DISPLAY]: Set the root image to come from X11<p>
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<dl compact><dt><b>Note:</b></dt><dd>The DISPLAY variable is optional, not specifying it will cause X to use the default display (not specifically :0.0)</dd></dl>
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-c, --center: The output points should be centered on the sub-image, rather than the top-left corner.<p>
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-o, --sane-tolerance: Set the tolerance using a scale of 1-100, rather than INT_MIN to INT_MAX (100 ~= INT_MAX)<h2><a class="anchor" name="contact">
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Contact Information:</a></h2>
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Questions? Comments? Concerns? Suggestions? Send all feedback to Bradlee Speice at <<a href="mailto:bspeice@uncc.edu">bspeice@uncc.edu</a>> <hr size="1"><address style="align: right;"><small>Generated on Tue Jul 17 12:19:00 2012 for libcvautomation by
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<a href="http://www.doxygen.org/index.html">
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<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.4.7 </small></address>
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</body>
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</html>
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