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- <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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- <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>
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- <div class="description">
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- <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">
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- <!-- ======== CONSTRUCTOR SUMMARY ======== -->
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- <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 =========== -->
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- <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 ======== -->
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- <li class="blockList"><a name="constructor.detail">
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- <h3>Constructor Detail</h3>
- <a name="CascadeClassifier--">
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- <ul class="blockList">
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- <h4>CascadeClassifier</h4>
- <pre>public CascadeClassifier()</pre>
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- <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>
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- </ul>
- <!-- ============ METHOD DETAIL ========== -->
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- <h3>Method Detail</h3>
- <a name="Z:Z__fromPtr__-long-">
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- <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>
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- <h4>convert</h4>
- <pre>public static boolean convert(java.lang.String oldcascade,
- java.lang.String newcascade)</pre>
- </li>
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- <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.</dd>
- </dl>
- </li>
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- <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.</dd>
- </dl>
- </li>
- </ul>
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- <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.</dd>
- </dl>
- </li>
- </ul>
- <a name="detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-int-int-">
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- <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.</dd>
- </dl>
- </li>
- </ul>
- <a name="detectMultiScale-org.opencv.core.Mat-org.opencv.core.MatOfRect-double-int-int-org.opencv.core.Size-">
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- <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.</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-">
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- <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.</dd>
- </dl>
- </li>
- </ul>
- <a name="detectMultiScale2-org.opencv.core.Mat-org.opencv.core.MatOfRect-org.opencv.core.MatOfInt-">
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- <ul class="blockList">
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- <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-">
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- <ul class="blockList">
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- <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-">
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- <ul class="blockList">
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- <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-">
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- <ul class="blockList">
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- <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 ====== -->
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