1265 lines
71 KiB
HTML
1265 lines
71 KiB
HTML
|
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
|
||
|
|
<!-- NewPage -->
|
||
|
|
<html lang="en">
|
||
|
|
<head>
|
||
|
|
<!-- Generated by javadoc (1.8.0_292) on Sat Dec 25 08:13:28 UTC 2021 -->
|
||
|
|
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||
|
|
<title>CascadeClassifier (OpenCV 4.5.5 Java documentation)</title>
|
||
|
|
<meta name="date" content="2021-12-25">
|
||
|
|
<link rel="stylesheet" type="text/css" href="../../../stylesheet.css" title="Style">
|
||
|
|
<script type="text/javascript" src="../../../script.js"></script>
|
||
|
|
</head>
|
||
|
|
<body>
|
||
|
|
<script type="text/javascript"><!--
|
||
|
|
try {
|
||
|
|
if (location.href.indexOf('is-external=true') == -1) {
|
||
|
|
parent.document.title="CascadeClassifier (OpenCV 4.5.5 Java documentation)";
|
||
|
|
}
|
||
|
|
}
|
||
|
|
catch(err) {
|
||
|
|
}
|
||
|
|
//-->
|
||
|
|
var methods = {"i0":9,"i1":9,"i2":10,"i3":10,"i4":10,"i5":10,"i6":10,"i7":10,"i8":10,"i9":10,"i10":10,"i11":10,"i12":10,"i13":10,"i14":10,"i15":10,"i16":10,"i17":10,"i18":10,"i19":10,"i20":10,"i21":10,"i22":10,"i23":10,"i24":10,"i25":10,"i26":10};
|
||
|
|
var tabs = {65535:["t0","All Methods"],1:["t1","Static Methods"],2:["t2","Instance Methods"],8:["t4","Concrete Methods"]};
|
||
|
|
var altColor = "altColor";
|
||
|
|
var rowColor = "rowColor";
|
||
|
|
var tableTab = "tableTab";
|
||
|
|
var activeTableTab = "activeTableTab";
|
||
|
|
</script>
|
||
|
|
<noscript>
|
||
|
|
<div>JavaScript is disabled on your browser.</div>
|
||
|
|
</noscript>
|
||
|
|
<!-- ========= START OF TOP NAVBAR ======= -->
|
||
|
|
<div class="topNav"><a name="navbar.top">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<div class="skipNav"><a href="#skip.navbar.top" title="Skip navigation links">Skip navigation links</a></div>
|
||
|
|
<a name="navbar.top.firstrow">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="navList" title="Navigation">
|
||
|
|
<li><a href="../../../overview-summary.html">Overview</a></li>
|
||
|
|
<li><a href="package-summary.html">Package</a></li>
|
||
|
|
<li class="navBarCell1Rev">Class</li>
|
||
|
|
<li><a href="package-tree.html">Tree</a></li>
|
||
|
|
<li><a href="../../../index-all.html">Index</a></li>
|
||
|
|
<li><a href="../../../help-doc.html">Help</a></li>
|
||
|
|
</ul>
|
||
|
|
<div class="aboutLanguage">
|
||
|
|
<script>
|
||
|
|
var url = window.location.href;
|
||
|
|
var pos = url.lastIndexOf('/javadoc/');
|
||
|
|
url = pos >= 0 ? (url.substring(0, pos) + '/javadoc/mymath.js') : (window.location.origin + '/mymath.js');
|
||
|
|
var script = document.createElement('script');
|
||
|
|
script.src = 'https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-AMS-MML_HTMLorMML,' + url;
|
||
|
|
document.getElementsByTagName('head')[0].appendChild(script);
|
||
|
|
</script>
|
||
|
|
</div>
|
||
|
|
</div>
|
||
|
|
<div class="subNav">
|
||
|
|
<ul class="navList">
|
||
|
|
<li><a href="../../../org/opencv/objdetect/BaseCascadeClassifier.html" title="class in org.opencv.objdetect"><span class="typeNameLink">Prev Class</span></a></li>
|
||
|
|
<li><a href="../../../org/opencv/objdetect/FaceDetectorYN.html" title="class in org.opencv.objdetect"><span class="typeNameLink">Next Class</span></a></li>
|
||
|
|
</ul>
|
||
|
|
<ul class="navList">
|
||
|
|
<li><a href="../../../index.html?org/opencv/objdetect/CascadeClassifier.html" target="_top">Frames</a></li>
|
||
|
|
<li><a href="CascadeClassifier.html" target="_top">No Frames</a></li>
|
||
|
|
</ul>
|
||
|
|
<ul class="navList" id="allclasses_navbar_top">
|
||
|
|
<li><a href="../../../allclasses-noframe.html">All Classes</a></li>
|
||
|
|
</ul>
|
||
|
|
<div>
|
||
|
|
<script type="text/javascript"><!--
|
||
|
|
allClassesLink = document.getElementById("allclasses_navbar_top");
|
||
|
|
if(window==top) {
|
||
|
|
allClassesLink.style.display = "block";
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
allClassesLink.style.display = "none";
|
||
|
|
}
|
||
|
|
//-->
|
||
|
|
</script>
|
||
|
|
</div>
|
||
|
|
<div>
|
||
|
|
<ul class="subNavList">
|
||
|
|
<li>Summary: </li>
|
||
|
|
<li>Nested | </li>
|
||
|
|
<li>Field | </li>
|
||
|
|
<li><a href="#constructor.summary">Constr</a> | </li>
|
||
|
|
<li><a href="#method.summary">Method</a></li>
|
||
|
|
</ul>
|
||
|
|
<ul class="subNavList">
|
||
|
|
<li>Detail: </li>
|
||
|
|
<li>Field | </li>
|
||
|
|
<li><a href="#constructor.detail">Constr</a> | </li>
|
||
|
|
<li><a href="#method.detail">Method</a></li>
|
||
|
|
</ul>
|
||
|
|
</div>
|
||
|
|
<a name="skip.navbar.top">
|
||
|
|
<!-- -->
|
||
|
|
</a></div>
|
||
|
|
<!-- ========= END OF TOP NAVBAR ========= -->
|
||
|
|
<!-- ======== START OF CLASS DATA ======== -->
|
||
|
|
<div class="header">
|
||
|
|
<div class="subTitle">org.opencv.objdetect</div>
|
||
|
|
<h2 title="Class CascadeClassifier" class="title">Class CascadeClassifier</h2>
|
||
|
|
</div>
|
||
|
|
<div class="contentContainer">
|
||
|
|
<ul class="inheritance">
|
||
|
|
<li>java.lang.Object</li>
|
||
|
|
<li>
|
||
|
|
<ul class="inheritance">
|
||
|
|
<li>org.opencv.objdetect.CascadeClassifier</li>
|
||
|
|
</ul>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<div class="description">
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<hr>
|
||
|
|
<br>
|
||
|
|
<pre>public class <span class="typeNameLabel">CascadeClassifier</span>
|
||
|
|
extends java.lang.Object</pre>
|
||
|
|
<div class="block">Cascade classifier class for object detection.</div>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
</div>
|
||
|
|
<div class="summary">
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<!-- ======== CONSTRUCTOR SUMMARY ======== -->
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList"><a name="constructor.summary">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<h3>Constructor Summary</h3>
|
||
|
|
<table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Constructor Summary table, listing constructors, and an explanation">
|
||
|
|
<caption><span>Constructors</span><span class="tabEnd"> </span></caption>
|
||
|
|
<tr>
|
||
|
|
<th class="colOne" scope="col">Constructor and Description</th>
|
||
|
|
</tr>
|
||
|
|
<tr class="altColor">
|
||
|
|
<td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#CascadeClassifier--">CascadeClassifier</a></span>()</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr class="rowColor">
|
||
|
|
<td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#CascadeClassifier-java.lang.String-">CascadeClassifier</a></span>(java.lang.String filename)</code>
|
||
|
|
<div class="block">Loads a classifier from a file.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
</table>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<!-- ========== METHOD SUMMARY =========== -->
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList"><a name="method.summary">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<h3>Method Summary</h3>
|
||
|
|
<table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
|
||
|
|
<caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd"> </span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd"> </span></span><span id="t2" class="tableTab"><span><a href="javascript:show(2);">Instance Methods</a></span><span class="tabEnd"> </span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd"> </span></span></caption>
|
||
|
|
<tr>
|
||
|
|
<th class="colFirst" scope="col">Modifier and Type</th>
|
||
|
|
<th class="colLast" scope="col">Method and Description</th>
|
||
|
|
</tr>
|
||
|
|
<tr id="i0" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/objdetect/CascadeClassifier.html" title="class in org.opencv.objdetect">CascadeClassifier</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long addr)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i1" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static boolean</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#convert-java.lang.String-java.lang.String-">convert</a></span>(java.lang.String oldcascade,
|
||
|
|
java.lang.String newcascade)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i2" class="altColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-">detectMultiScale</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects)</code>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i3" class="rowColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-">detectMultiScale</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
double scaleFactor)</code>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i4" class="altColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-int-">detectMultiScale</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors)</code>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i5" class="rowColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-int-int-">detectMultiScale</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags)</code>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i6" class="altColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-int-int-org.opencv.core.Size-">detectMultiScale</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize)</code>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i7" class="rowColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-int-int-org.opencv.core.Size-org.opencv.core.Size-">detectMultiScale</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> maxSize)</code>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i8" class="altColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-">detectMultiScale2</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i9" class="rowColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-double-">detectMultiScale2</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections,
|
||
|
|
double scaleFactor)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i10" class="altColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-double-int-">detectMultiScale2</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i11" class="rowColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-double-int-int-">detectMultiScale2</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i12" class="altColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-double-int-int-org.opencv.core.Size-">detectMultiScale2</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i13" class="rowColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-double-int-int-org.opencv.core.Size-org.opencv.core.Size-">detectMultiScale2</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> maxSize)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i14" class="altColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-">detectMultiScale3</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights)</code>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i15" class="rowColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-">detectMultiScale3</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor)</code>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i16" class="altColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-int-">detectMultiScale3</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors)</code>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i17" class="rowColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-int-int-">detectMultiScale3</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags)</code>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i18" class="altColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-int-int-org.opencv.core.Size-">detectMultiScale3</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize)</code>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i19" class="rowColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-int-int-org.opencv.core.Size-org.opencv.core.Size-">detectMultiScale3</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> maxSize)</code>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i20" class="altColor">
|
||
|
|
<td class="colFirst"><code>void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-int-int-org.opencv.core.Size-org.opencv.core.Size-boolean-">detectMultiScale3</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> maxSize,
|
||
|
|
boolean outputRejectLevels)</code>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i21" class="rowColor">
|
||
|
|
<td class="colFirst"><code>boolean</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#empty--">empty</a></span>()</code>
|
||
|
|
<div class="block">Checks whether the classifier has been loaded.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i22" class="altColor">
|
||
|
|
<td class="colFirst"><code>int</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#getFeatureType--">getFeatureType</a></span>()</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i23" class="rowColor">
|
||
|
|
<td class="colFirst"><code>long</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#getNativeObjAddr--">getNativeObjAddr</a></span>()</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i24" class="altColor">
|
||
|
|
<td class="colFirst"><code><a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#getOriginalWindowSize--">getOriginalWindowSize</a></span>()</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i25" class="rowColor">
|
||
|
|
<td class="colFirst"><code>boolean</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#isOldFormatCascade--">isOldFormatCascade</a></span>()</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i26" class="altColor">
|
||
|
|
<td class="colFirst"><code>boolean</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/objdetect/CascadeClassifier.html#load-java.lang.String-">load</a></span>(java.lang.String filename)</code>
|
||
|
|
<div class="block">Loads a classifier from a file.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
</table>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList"><a name="methods.inherited.from.class.java.lang.Object">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<h3>Methods inherited from class java.lang.Object</h3>
|
||
|
|
<code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
|
||
|
|
</ul>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
</div>
|
||
|
|
<div class="details">
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<!-- ========= CONSTRUCTOR DETAIL ======== -->
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList"><a name="constructor.detail">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<h3>Constructor Detail</h3>
|
||
|
|
<a name="CascadeClassifier--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>CascadeClassifier</h4>
|
||
|
|
<pre>public CascadeClassifier()</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="CascadeClassifier-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockListLast">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>CascadeClassifier</h4>
|
||
|
|
<pre>public CascadeClassifier(java.lang.String filename)</pre>
|
||
|
|
<div class="block">Loads a classifier from a file.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>filename</code> - Name of the file from which the classifier is loaded.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<!-- ============ METHOD DETAIL ========== -->
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList"><a name="method.detail">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<h3>Method Detail</h3>
|
||
|
|
<a name="Z:Z__fromPtr__-long-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>__fromPtr__</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/objdetect/CascadeClassifier.html" title="class in org.opencv.objdetect">CascadeClassifier</a> __fromPtr__(long addr)</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="convert-java.lang.String-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>convert</h4>
|
||
|
|
<pre>public static boolean convert(java.lang.String oldcascade,
|
||
|
|
java.lang.String newcascade)</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale</h4>
|
||
|
|
<pre>public void detectMultiScale(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects)</pre>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image. The detected objects are returned as a list
|
||
|
|
of rectangles.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.
|
||
|
|
to retain it.
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.
|
||
|
|
|
||
|
|
The function is parallelized with the TBB library.
|
||
|
|
|
||
|
|
<b>Note:</b>
|
||
|
|
<ul>
|
||
|
|
<li>
|
||
|
|
(Python) A face detection example using cascade classifiers can be found at
|
||
|
|
opencv_source_code/samples/python/facedetect.py
|
||
|
|
</li>
|
||
|
|
</ul></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale</h4>
|
||
|
|
<pre>public void detectMultiScale(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
double scaleFactor)</pre>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image. The detected objects are returned as a list
|
||
|
|
of rectangles.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.</dd>
|
||
|
|
<dd><code>scaleFactor</code> - Parameter specifying how much the image size is reduced at each image scale.
|
||
|
|
to retain it.
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.
|
||
|
|
|
||
|
|
The function is parallelized with the TBB library.
|
||
|
|
|
||
|
|
<b>Note:</b>
|
||
|
|
<ul>
|
||
|
|
<li>
|
||
|
|
(Python) A face detection example using cascade classifiers can be found at
|
||
|
|
opencv_source_code/samples/python/facedetect.py
|
||
|
|
</li>
|
||
|
|
</ul></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-int-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale</h4>
|
||
|
|
<pre>public void detectMultiScale(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors)</pre>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image. The detected objects are returned as a list
|
||
|
|
of rectangles.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.</dd>
|
||
|
|
<dd><code>scaleFactor</code> - Parameter specifying how much the image size is reduced at each image scale.</dd>
|
||
|
|
<dd><code>minNeighbors</code> - Parameter specifying how many neighbors each candidate rectangle should have
|
||
|
|
to retain it.
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.
|
||
|
|
|
||
|
|
The function is parallelized with the TBB library.
|
||
|
|
|
||
|
|
<b>Note:</b>
|
||
|
|
<ul>
|
||
|
|
<li>
|
||
|
|
(Python) A face detection example using cascade classifiers can be found at
|
||
|
|
opencv_source_code/samples/python/facedetect.py
|
||
|
|
</li>
|
||
|
|
</ul></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-int-int-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale</h4>
|
||
|
|
<pre>public void detectMultiScale(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags)</pre>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image. The detected objects are returned as a list
|
||
|
|
of rectangles.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.</dd>
|
||
|
|
<dd><code>scaleFactor</code> - Parameter specifying how much the image size is reduced at each image scale.</dd>
|
||
|
|
<dd><code>minNeighbors</code> - Parameter specifying how many neighbors each candidate rectangle should have
|
||
|
|
to retain it.</dd>
|
||
|
|
<dd><code>flags</code> - Parameter with the same meaning for an old cascade as in the function
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.
|
||
|
|
|
||
|
|
The function is parallelized with the TBB library.
|
||
|
|
|
||
|
|
<b>Note:</b>
|
||
|
|
<ul>
|
||
|
|
<li>
|
||
|
|
(Python) A face detection example using cascade classifiers can be found at
|
||
|
|
opencv_source_code/samples/python/facedetect.py
|
||
|
|
</li>
|
||
|
|
</ul></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-int-int-org.opencv.core.Size-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale</h4>
|
||
|
|
<pre>public void detectMultiScale(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize)</pre>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image. The detected objects are returned as a list
|
||
|
|
of rectangles.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.</dd>
|
||
|
|
<dd><code>scaleFactor</code> - Parameter specifying how much the image size is reduced at each image scale.</dd>
|
||
|
|
<dd><code>minNeighbors</code> - Parameter specifying how many neighbors each candidate rectangle should have
|
||
|
|
to retain it.</dd>
|
||
|
|
<dd><code>flags</code> - Parameter with the same meaning for an old cascade as in the function
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.</dd>
|
||
|
|
<dd><code>minSize</code> - Minimum possible object size. Objects smaller than that are ignored.
|
||
|
|
|
||
|
|
The function is parallelized with the TBB library.
|
||
|
|
|
||
|
|
<b>Note:</b>
|
||
|
|
<ul>
|
||
|
|
<li>
|
||
|
|
(Python) A face detection example using cascade classifiers can be found at
|
||
|
|
opencv_source_code/samples/python/facedetect.py
|
||
|
|
</li>
|
||
|
|
</ul></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-int-int-org.opencv.core.Size-org.opencv.core.Size-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale</h4>
|
||
|
|
<pre>public void detectMultiScale(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> maxSize)</pre>
|
||
|
|
<div class="block">Detects objects of different sizes in the input image. The detected objects are returned as a list
|
||
|
|
of rectangles.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.</dd>
|
||
|
|
<dd><code>scaleFactor</code> - Parameter specifying how much the image size is reduced at each image scale.</dd>
|
||
|
|
<dd><code>minNeighbors</code> - Parameter specifying how many neighbors each candidate rectangle should have
|
||
|
|
to retain it.</dd>
|
||
|
|
<dd><code>flags</code> - Parameter with the same meaning for an old cascade as in the function
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.</dd>
|
||
|
|
<dd><code>minSize</code> - Minimum possible object size. Objects smaller than that are ignored.</dd>
|
||
|
|
<dd><code>maxSize</code> - Maximum possible object size. Objects larger than that are ignored. If <code>maxSize == minSize</code> model is evaluated on single scale.
|
||
|
|
|
||
|
|
The function is parallelized with the TBB library.
|
||
|
|
|
||
|
|
<b>Note:</b>
|
||
|
|
<ul>
|
||
|
|
<li>
|
||
|
|
(Python) A face detection example using cascade classifiers can be found at
|
||
|
|
opencv_source_code/samples/python/facedetect.py
|
||
|
|
</li>
|
||
|
|
</ul></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale2</h4>
|
||
|
|
<pre>public void detectMultiScale2(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections)</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.</dd>
|
||
|
|
<dd><code>numDetections</code> - Vector of detection numbers for the corresponding objects. An object's number
|
||
|
|
of detections is the number of neighboring positively classified rectangles that were joined
|
||
|
|
together to form the object.
|
||
|
|
to retain it.
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-double-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale2</h4>
|
||
|
|
<pre>public void detectMultiScale2(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections,
|
||
|
|
double scaleFactor)</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.</dd>
|
||
|
|
<dd><code>numDetections</code> - Vector of detection numbers for the corresponding objects. An object's number
|
||
|
|
of detections is the number of neighboring positively classified rectangles that were joined
|
||
|
|
together to form the object.</dd>
|
||
|
|
<dd><code>scaleFactor</code> - Parameter specifying how much the image size is reduced at each image scale.
|
||
|
|
to retain it.
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-double-int-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale2</h4>
|
||
|
|
<pre>public void detectMultiScale2(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors)</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.</dd>
|
||
|
|
<dd><code>numDetections</code> - Vector of detection numbers for the corresponding objects. An object's number
|
||
|
|
of detections is the number of neighboring positively classified rectangles that were joined
|
||
|
|
together to form the object.</dd>
|
||
|
|
<dd><code>scaleFactor</code> - Parameter specifying how much the image size is reduced at each image scale.</dd>
|
||
|
|
<dd><code>minNeighbors</code> - Parameter specifying how many neighbors each candidate rectangle should have
|
||
|
|
to retain it.
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-double-int-int-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale2</h4>
|
||
|
|
<pre>public void detectMultiScale2(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags)</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.</dd>
|
||
|
|
<dd><code>numDetections</code> - Vector of detection numbers for the corresponding objects. An object's number
|
||
|
|
of detections is the number of neighboring positively classified rectangles that were joined
|
||
|
|
together to form the object.</dd>
|
||
|
|
<dd><code>scaleFactor</code> - Parameter specifying how much the image size is reduced at each image scale.</dd>
|
||
|
|
<dd><code>minNeighbors</code> - Parameter specifying how many neighbors each candidate rectangle should have
|
||
|
|
to retain it.</dd>
|
||
|
|
<dd><code>flags</code> - Parameter with the same meaning for an old cascade as in the function
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-double-int-int-org.opencv.core.Size-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale2</h4>
|
||
|
|
<pre>public void detectMultiScale2(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize)</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.</dd>
|
||
|
|
<dd><code>numDetections</code> - Vector of detection numbers for the corresponding objects. An object's number
|
||
|
|
of detections is the number of neighboring positively classified rectangles that were joined
|
||
|
|
together to form the object.</dd>
|
||
|
|
<dd><code>scaleFactor</code> - Parameter specifying how much the image size is reduced at each image scale.</dd>
|
||
|
|
<dd><code>minNeighbors</code> - Parameter specifying how many neighbors each candidate rectangle should have
|
||
|
|
to retain it.</dd>
|
||
|
|
<dd><code>flags</code> - Parameter with the same meaning for an old cascade as in the function
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.</dd>
|
||
|
|
<dd><code>minSize</code> - Minimum possible object size. Objects smaller than that are ignored.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-double-int-int-org.opencv.core.Size-org.opencv.core.Size-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale2</h4>
|
||
|
|
<pre>public void detectMultiScale2(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> numDetections,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> maxSize)</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - Matrix of the type CV_8U containing an image where objects are detected.</dd>
|
||
|
|
<dd><code>objects</code> - Vector of rectangles where each rectangle contains the detected object, the
|
||
|
|
rectangles may be partially outside the original image.</dd>
|
||
|
|
<dd><code>numDetections</code> - Vector of detection numbers for the corresponding objects. An object's number
|
||
|
|
of detections is the number of neighboring positively classified rectangles that were joined
|
||
|
|
together to form the object.</dd>
|
||
|
|
<dd><code>scaleFactor</code> - Parameter specifying how much the image size is reduced at each image scale.</dd>
|
||
|
|
<dd><code>minNeighbors</code> - Parameter specifying how many neighbors each candidate rectangle should have
|
||
|
|
to retain it.</dd>
|
||
|
|
<dd><code>flags</code> - Parameter with the same meaning for an old cascade as in the function
|
||
|
|
cvHaarDetectObjects. It is not used for a new cascade.</dd>
|
||
|
|
<dd><code>minSize</code> - Minimum possible object size. Objects smaller than that are ignored.</dd>
|
||
|
|
<dd><code>maxSize</code> - Maximum possible object size. Objects larger than that are ignored. If <code>maxSize == minSize</code> model is evaluated on single scale.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale3</h4>
|
||
|
|
<pre>public void detectMultiScale3(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights)</pre>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.
|
||
|
|
For this, one needs to set <code>outputRejectLevels</code> on true and provide the <code>rejectLevels</code> and <code>levelWeights</code> parameter.
|
||
|
|
For each resulting detection, <code>levelWeights</code> will then contain the certainty of classification at the final stage.
|
||
|
|
This value can then be used to separate strong from weaker classifications.
|
||
|
|
|
||
|
|
A code sample on how to use it efficiently can be found below:
|
||
|
|
<code>
|
||
|
|
Mat img;
|
||
|
|
vector<double> weights;
|
||
|
|
vector<int> levels;
|
||
|
|
vector<Rect> detections;
|
||
|
|
CascadeClassifier model("/path/to/your/model.xml");
|
||
|
|
model.detectMultiScale(img, detections, levels, weights, 1.1, 3, 0, Size(), Size(), true);
|
||
|
|
cerr << "Detection " << detections[0] << " with weight " << weights[0] << endl;
|
||
|
|
</code></div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - automatically generated</dd>
|
||
|
|
<dd><code>objects</code> - automatically generated</dd>
|
||
|
|
<dd><code>rejectLevels</code> - automatically generated</dd>
|
||
|
|
<dd><code>levelWeights</code> - automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale3</h4>
|
||
|
|
<pre>public void detectMultiScale3(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor)</pre>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.
|
||
|
|
For this, one needs to set <code>outputRejectLevels</code> on true and provide the <code>rejectLevels</code> and <code>levelWeights</code> parameter.
|
||
|
|
For each resulting detection, <code>levelWeights</code> will then contain the certainty of classification at the final stage.
|
||
|
|
This value can then be used to separate strong from weaker classifications.
|
||
|
|
|
||
|
|
A code sample on how to use it efficiently can be found below:
|
||
|
|
<code>
|
||
|
|
Mat img;
|
||
|
|
vector<double> weights;
|
||
|
|
vector<int> levels;
|
||
|
|
vector<Rect> detections;
|
||
|
|
CascadeClassifier model("/path/to/your/model.xml");
|
||
|
|
model.detectMultiScale(img, detections, levels, weights, 1.1, 3, 0, Size(), Size(), true);
|
||
|
|
cerr << "Detection " << detections[0] << " with weight " << weights[0] << endl;
|
||
|
|
</code></div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - automatically generated</dd>
|
||
|
|
<dd><code>objects</code> - automatically generated</dd>
|
||
|
|
<dd><code>rejectLevels</code> - automatically generated</dd>
|
||
|
|
<dd><code>levelWeights</code> - automatically generated</dd>
|
||
|
|
<dd><code>scaleFactor</code> - automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-int-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale3</h4>
|
||
|
|
<pre>public void detectMultiScale3(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors)</pre>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.
|
||
|
|
For this, one needs to set <code>outputRejectLevels</code> on true and provide the <code>rejectLevels</code> and <code>levelWeights</code> parameter.
|
||
|
|
For each resulting detection, <code>levelWeights</code> will then contain the certainty of classification at the final stage.
|
||
|
|
This value can then be used to separate strong from weaker classifications.
|
||
|
|
|
||
|
|
A code sample on how to use it efficiently can be found below:
|
||
|
|
<code>
|
||
|
|
Mat img;
|
||
|
|
vector<double> weights;
|
||
|
|
vector<int> levels;
|
||
|
|
vector<Rect> detections;
|
||
|
|
CascadeClassifier model("/path/to/your/model.xml");
|
||
|
|
model.detectMultiScale(img, detections, levels, weights, 1.1, 3, 0, Size(), Size(), true);
|
||
|
|
cerr << "Detection " << detections[0] << " with weight " << weights[0] << endl;
|
||
|
|
</code></div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - automatically generated</dd>
|
||
|
|
<dd><code>objects</code> - automatically generated</dd>
|
||
|
|
<dd><code>rejectLevels</code> - automatically generated</dd>
|
||
|
|
<dd><code>levelWeights</code> - automatically generated</dd>
|
||
|
|
<dd><code>scaleFactor</code> - automatically generated</dd>
|
||
|
|
<dd><code>minNeighbors</code> - automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-int-int-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale3</h4>
|
||
|
|
<pre>public void detectMultiScale3(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags)</pre>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.
|
||
|
|
For this, one needs to set <code>outputRejectLevels</code> on true and provide the <code>rejectLevels</code> and <code>levelWeights</code> parameter.
|
||
|
|
For each resulting detection, <code>levelWeights</code> will then contain the certainty of classification at the final stage.
|
||
|
|
This value can then be used to separate strong from weaker classifications.
|
||
|
|
|
||
|
|
A code sample on how to use it efficiently can be found below:
|
||
|
|
<code>
|
||
|
|
Mat img;
|
||
|
|
vector<double> weights;
|
||
|
|
vector<int> levels;
|
||
|
|
vector<Rect> detections;
|
||
|
|
CascadeClassifier model("/path/to/your/model.xml");
|
||
|
|
model.detectMultiScale(img, detections, levels, weights, 1.1, 3, 0, Size(), Size(), true);
|
||
|
|
cerr << "Detection " << detections[0] << " with weight " << weights[0] << endl;
|
||
|
|
</code></div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - automatically generated</dd>
|
||
|
|
<dd><code>objects</code> - automatically generated</dd>
|
||
|
|
<dd><code>rejectLevels</code> - automatically generated</dd>
|
||
|
|
<dd><code>levelWeights</code> - automatically generated</dd>
|
||
|
|
<dd><code>scaleFactor</code> - automatically generated</dd>
|
||
|
|
<dd><code>minNeighbors</code> - automatically generated</dd>
|
||
|
|
<dd><code>flags</code> - automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-int-int-org.opencv.core.Size-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale3</h4>
|
||
|
|
<pre>public void detectMultiScale3(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize)</pre>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.
|
||
|
|
For this, one needs to set <code>outputRejectLevels</code> on true and provide the <code>rejectLevels</code> and <code>levelWeights</code> parameter.
|
||
|
|
For each resulting detection, <code>levelWeights</code> will then contain the certainty of classification at the final stage.
|
||
|
|
This value can then be used to separate strong from weaker classifications.
|
||
|
|
|
||
|
|
A code sample on how to use it efficiently can be found below:
|
||
|
|
<code>
|
||
|
|
Mat img;
|
||
|
|
vector<double> weights;
|
||
|
|
vector<int> levels;
|
||
|
|
vector<Rect> detections;
|
||
|
|
CascadeClassifier model("/path/to/your/model.xml");
|
||
|
|
model.detectMultiScale(img, detections, levels, weights, 1.1, 3, 0, Size(), Size(), true);
|
||
|
|
cerr << "Detection " << detections[0] << " with weight " << weights[0] << endl;
|
||
|
|
</code></div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - automatically generated</dd>
|
||
|
|
<dd><code>objects</code> - automatically generated</dd>
|
||
|
|
<dd><code>rejectLevels</code> - automatically generated</dd>
|
||
|
|
<dd><code>levelWeights</code> - automatically generated</dd>
|
||
|
|
<dd><code>scaleFactor</code> - automatically generated</dd>
|
||
|
|
<dd><code>minNeighbors</code> - automatically generated</dd>
|
||
|
|
<dd><code>flags</code> - automatically generated</dd>
|
||
|
|
<dd><code>minSize</code> - automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-int-int-org.opencv.core.Size-org.opencv.core.Size-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale3</h4>
|
||
|
|
<pre>public void detectMultiScale3(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> maxSize)</pre>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.
|
||
|
|
For this, one needs to set <code>outputRejectLevels</code> on true and provide the <code>rejectLevels</code> and <code>levelWeights</code> parameter.
|
||
|
|
For each resulting detection, <code>levelWeights</code> will then contain the certainty of classification at the final stage.
|
||
|
|
This value can then be used to separate strong from weaker classifications.
|
||
|
|
|
||
|
|
A code sample on how to use it efficiently can be found below:
|
||
|
|
<code>
|
||
|
|
Mat img;
|
||
|
|
vector<double> weights;
|
||
|
|
vector<int> levels;
|
||
|
|
vector<Rect> detections;
|
||
|
|
CascadeClassifier model("/path/to/your/model.xml");
|
||
|
|
model.detectMultiScale(img, detections, levels, weights, 1.1, 3, 0, Size(), Size(), true);
|
||
|
|
cerr << "Detection " << detections[0] << " with weight " << weights[0] << endl;
|
||
|
|
</code></div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - automatically generated</dd>
|
||
|
|
<dd><code>objects</code> - automatically generated</dd>
|
||
|
|
<dd><code>rejectLevels</code> - automatically generated</dd>
|
||
|
|
<dd><code>levelWeights</code> - automatically generated</dd>
|
||
|
|
<dd><code>scaleFactor</code> - automatically generated</dd>
|
||
|
|
<dd><code>minNeighbors</code> - automatically generated</dd>
|
||
|
|
<dd><code>flags</code> - automatically generated</dd>
|
||
|
|
<dd><code>minSize</code> - automatically generated</dd>
|
||
|
|
<dd><code>maxSize</code> - automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="detectMultiScale3-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-org.opencv.core.MatOfDouble-double-int-int-org.opencv.core.Size-org.opencv.core.Size-boolean-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>detectMultiScale3</h4>
|
||
|
|
<pre>public void detectMultiScale3(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> objects,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> rejectLevels,
|
||
|
|
<a href="../../../org/opencv/core/MatOfDouble.html" title="class in org.opencv.core">MatOfDouble</a> levelWeights,
|
||
|
|
double scaleFactor,
|
||
|
|
int minNeighbors,
|
||
|
|
int flags,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> minSize,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> maxSize,
|
||
|
|
boolean outputRejectLevels)</pre>
|
||
|
|
<div class="block">This function allows you to retrieve the final stage decision certainty of classification.
|
||
|
|
For this, one needs to set <code>outputRejectLevels</code> on true and provide the <code>rejectLevels</code> and <code>levelWeights</code> parameter.
|
||
|
|
For each resulting detection, <code>levelWeights</code> will then contain the certainty of classification at the final stage.
|
||
|
|
This value can then be used to separate strong from weaker classifications.
|
||
|
|
|
||
|
|
A code sample on how to use it efficiently can be found below:
|
||
|
|
<code>
|
||
|
|
Mat img;
|
||
|
|
vector<double> weights;
|
||
|
|
vector<int> levels;
|
||
|
|
vector<Rect> detections;
|
||
|
|
CascadeClassifier model("/path/to/your/model.xml");
|
||
|
|
model.detectMultiScale(img, detections, levels, weights, 1.1, 3, 0, Size(), Size(), true);
|
||
|
|
cerr << "Detection " << detections[0] << " with weight " << weights[0] << endl;
|
||
|
|
</code></div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - automatically generated</dd>
|
||
|
|
<dd><code>objects</code> - automatically generated</dd>
|
||
|
|
<dd><code>rejectLevels</code> - automatically generated</dd>
|
||
|
|
<dd><code>levelWeights</code> - automatically generated</dd>
|
||
|
|
<dd><code>scaleFactor</code> - automatically generated</dd>
|
||
|
|
<dd><code>minNeighbors</code> - automatically generated</dd>
|
||
|
|
<dd><code>flags</code> - automatically generated</dd>
|
||
|
|
<dd><code>minSize</code> - automatically generated</dd>
|
||
|
|
<dd><code>maxSize</code> - automatically generated</dd>
|
||
|
|
<dd><code>outputRejectLevels</code> - automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="empty--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>empty</h4>
|
||
|
|
<pre>public boolean empty()</pre>
|
||
|
|
<div class="block">Checks whether the classifier has been loaded.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="getFeatureType--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>getFeatureType</h4>
|
||
|
|
<pre>public int getFeatureType()</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="getNativeObjAddr--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>getNativeObjAddr</h4>
|
||
|
|
<pre>public long getNativeObjAddr()</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="getOriginalWindowSize--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>getOriginalWindowSize</h4>
|
||
|
|
<pre>public <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> getOriginalWindowSize()</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="isOldFormatCascade--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>isOldFormatCascade</h4>
|
||
|
|
<pre>public boolean isOldFormatCascade()</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="load-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockListLast">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>load</h4>
|
||
|
|
<pre>public boolean load(java.lang.String filename)</pre>
|
||
|
|
<div class="block">Loads a classifier from a file.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>filename</code> - Name of the file from which the classifier is loaded. The file may contain an old
|
||
|
|
HAAR classifier trained by the haartraining application or a new cascade classifier trained by the
|
||
|
|
traincascade application.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
</div>
|
||
|
|
</div>
|
||
|
|
<!-- ========= END OF CLASS DATA ========= -->
|
||
|
|
<!-- ======= START OF BOTTOM NAVBAR ====== -->
|
||
|
|
<div class="bottomNav"><a name="navbar.bottom">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<div class="skipNav"><a href="#skip.navbar.bottom" title="Skip navigation links">Skip navigation links</a></div>
|
||
|
|
<a name="navbar.bottom.firstrow">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="navList" title="Navigation">
|
||
|
|
<li><a href="../../../overview-summary.html">Overview</a></li>
|
||
|
|
<li><a href="package-summary.html">Package</a></li>
|
||
|
|
<li class="navBarCell1Rev">Class</li>
|
||
|
|
<li><a href="package-tree.html">Tree</a></li>
|
||
|
|
<li><a href="../../../index-all.html">Index</a></li>
|
||
|
|
<li><a href="../../../help-doc.html">Help</a></li>
|
||
|
|
</ul>
|
||
|
|
<div class="aboutLanguage">
|
||
|
|
<script>
|
||
|
|
var url = window.location.href;
|
||
|
|
var pos = url.lastIndexOf('/javadoc/');
|
||
|
|
url = pos >= 0 ? (url.substring(0, pos) + '/javadoc/mymath.js') : (window.location.origin + '/mymath.js');
|
||
|
|
var script = document.createElement('script');
|
||
|
|
script.src = 'https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-AMS-MML_HTMLorMML,' + url;
|
||
|
|
document.getElementsByTagName('head')[0].appendChild(script);
|
||
|
|
</script>
|
||
|
|
</div>
|
||
|
|
</div>
|
||
|
|
<div class="subNav">
|
||
|
|
<ul class="navList">
|
||
|
|
<li><a href="../../../org/opencv/objdetect/BaseCascadeClassifier.html" title="class in org.opencv.objdetect"><span class="typeNameLink">Prev Class</span></a></li>
|
||
|
|
<li><a href="../../../org/opencv/objdetect/FaceDetectorYN.html" title="class in org.opencv.objdetect"><span class="typeNameLink">Next Class</span></a></li>
|
||
|
|
</ul>
|
||
|
|
<ul class="navList">
|
||
|
|
<li><a href="../../../index.html?org/opencv/objdetect/CascadeClassifier.html" target="_top">Frames</a></li>
|
||
|
|
<li><a href="CascadeClassifier.html" target="_top">No Frames</a></li>
|
||
|
|
</ul>
|
||
|
|
<ul class="navList" id="allclasses_navbar_bottom">
|
||
|
|
<li><a href="../../../allclasses-noframe.html">All Classes</a></li>
|
||
|
|
</ul>
|
||
|
|
<div>
|
||
|
|
<script type="text/javascript"><!--
|
||
|
|
allClassesLink = document.getElementById("allclasses_navbar_bottom");
|
||
|
|
if(window==top) {
|
||
|
|
allClassesLink.style.display = "block";
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
allClassesLink.style.display = "none";
|
||
|
|
}
|
||
|
|
//-->
|
||
|
|
</script>
|
||
|
|
</div>
|
||
|
|
<div>
|
||
|
|
<ul class="subNavList">
|
||
|
|
<li>Summary: </li>
|
||
|
|
<li>Nested | </li>
|
||
|
|
<li>Field | </li>
|
||
|
|
<li><a href="#constructor.summary">Constr</a> | </li>
|
||
|
|
<li><a href="#method.summary">Method</a></li>
|
||
|
|
</ul>
|
||
|
|
<ul class="subNavList">
|
||
|
|
<li>Detail: </li>
|
||
|
|
<li>Field | </li>
|
||
|
|
<li><a href="#constructor.detail">Constr</a> | </li>
|
||
|
|
<li><a href="#method.detail">Method</a></li>
|
||
|
|
</ul>
|
||
|
|
</div>
|
||
|
|
<a name="skip.navbar.bottom">
|
||
|
|
<!-- -->
|
||
|
|
</a></div>
|
||
|
|
<!-- ======== END OF BOTTOM NAVBAR ======= -->
|
||
|
|
<p class="legalCopy"><small>Generated on 2021-12-25 08:13:27 / OpenCV 4.5.5</small></p>
|
||
|
|
</body>
|
||
|
|
</html>
|