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<div class="subTitle">org.opencv.ml</div>
<h2 title="Class DTrees" class="title">Class DTrees</h2>
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<ul class="inheritance">
<li>java.lang.Object</li>
<li>
<ul class="inheritance">
<li><a href="../../../org/opencv/core/Algorithm.html" title="class in org.opencv.core">org.opencv.core.Algorithm</a></li>
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<li><a href="../../../org/opencv/ml/StatModel.html" title="class in org.opencv.ml">org.opencv.ml.StatModel</a></li>
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<li>org.opencv.ml.DTrees</li>
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<dt>Direct Known Subclasses:</dt>
<dd><a href="../../../org/opencv/ml/Boost.html" title="class in org.opencv.ml">Boost</a>, <a href="../../../org/opencv/ml/RTrees.html" title="class in org.opencv.ml">RTrees</a></dd>
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<pre>public class <span class="typeNameLabel">DTrees</span>
extends <a href="../../../org/opencv/ml/StatModel.html" title="class in org.opencv.ml">StatModel</a></pre>
<div class="block">The class represents a single decision tree or a collection of decision trees.
The current public interface of the class allows user to train only a single decision tree, however
the class is capable of storing multiple decision trees and using them for prediction (by summing
responses or using a voting schemes), and the derived from DTrees classes (such as RTrees and Boost)
use this capability to implement decision tree ensembles.
SEE: REF: ml_intro_trees</div>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Field and Description</th>
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<td class="colFirst"><code>static int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#PREDICT_AUTO">PREDICT_AUTO</a></span></code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#PREDICT_MASK">PREDICT_MASK</a></span></code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#PREDICT_MAX_VOTE">PREDICT_MAX_VOTE</a></span></code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#PREDICT_SUM">PREDICT_SUM</a></span></code> </td>
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<td class="colFirst"><code>static <a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long addr)</code> </td>
</tr>
<tr id="i1" class="rowColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#create--">create</a></span>()</code>
<div class="block">Creates the empty model
The static method creates empty decision tree with the specified parameters.</div>
</td>
</tr>
<tr id="i2" class="altColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#getCVFolds--">getCVFolds</a></span>()</code>
<div class="block">SEE: setCVFolds</div>
</td>
</tr>
<tr id="i3" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#getMaxCategories--">getMaxCategories</a></span>()</code>
<div class="block">SEE: setMaxCategories</div>
</td>
</tr>
<tr id="i4" class="altColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#getMaxDepth--">getMaxDepth</a></span>()</code>
<div class="block">SEE: setMaxDepth</div>
</td>
</tr>
<tr id="i5" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#getMinSampleCount--">getMinSampleCount</a></span>()</code>
<div class="block">SEE: setMinSampleCount</div>
</td>
</tr>
<tr id="i6" class="altColor">
<td class="colFirst"><code><a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#getPriors--">getPriors</a></span>()</code>
<div class="block">SEE: setPriors</div>
</td>
</tr>
<tr id="i7" class="rowColor">
<td class="colFirst"><code>float</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#getRegressionAccuracy--">getRegressionAccuracy</a></span>()</code>
<div class="block">SEE: setRegressionAccuracy</div>
</td>
</tr>
<tr id="i8" class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#getTruncatePrunedTree--">getTruncatePrunedTree</a></span>()</code>
<div class="block">SEE: setTruncatePrunedTree</div>
</td>
</tr>
<tr id="i9" class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#getUse1SERule--">getUse1SERule</a></span>()</code>
<div class="block">SEE: setUse1SERule</div>
</td>
</tr>
<tr id="i10" class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#getUseSurrogates--">getUseSurrogates</a></span>()</code>
<div class="block">SEE: setUseSurrogates</div>
</td>
</tr>
<tr id="i11" class="rowColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#load-java.lang.String-">load</a></span>(java.lang.String filepath)</code>
<div class="block">Loads and creates a serialized DTrees from a file
Use DTree::save to serialize and store an DTree to disk.</div>
</td>
</tr>
<tr id="i12" class="altColor">
<td class="colFirst"><code>static <a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#load-java.lang.String-java.lang.String-">load</a></span>(java.lang.String filepath,
java.lang.String nodeName)</code>
<div class="block">Loads and creates a serialized DTrees from a file
Use DTree::save to serialize and store an DTree to disk.</div>
</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/ml/DTrees.html#setCVFolds-int-">setCVFolds</a></span>(int val)</code>
<div class="block">getCVFolds SEE: getCVFolds</div>
</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/ml/DTrees.html#setMaxCategories-int-">setMaxCategories</a></span>(int val)</code>
<div class="block">getMaxCategories SEE: getMaxCategories</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/ml/DTrees.html#setMaxDepth-int-">setMaxDepth</a></span>(int val)</code>
<div class="block">getMaxDepth SEE: getMaxDepth</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/ml/DTrees.html#setMinSampleCount-int-">setMinSampleCount</a></span>(int val)</code>
<div class="block">getMinSampleCount SEE: getMinSampleCount</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/ml/DTrees.html#setPriors-org.opencv.core.Mat-">setPriors</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> val)</code>
<div class="block">getPriors SEE: getPriors</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/ml/DTrees.html#setRegressionAccuracy-float-">setRegressionAccuracy</a></span>(float val)</code>
<div class="block">getRegressionAccuracy SEE: getRegressionAccuracy</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/ml/DTrees.html#setTruncatePrunedTree-boolean-">setTruncatePrunedTree</a></span>(boolean val)</code>
<div class="block">getTruncatePrunedTree SEE: getTruncatePrunedTree</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/ml/DTrees.html#setUse1SERule-boolean-">setUse1SERule</a></span>(boolean val)</code>
<div class="block">getUse1SERule SEE: getUse1SERule</div>
</td>
</tr>
<tr id="i21" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/ml/DTrees.html#setUseSurrogates-boolean-">setUseSurrogates</a></span>(boolean val)</code>
<div class="block">getUseSurrogates SEE: getUseSurrogates</div>
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<code><a href="../../../org/opencv/ml/StatModel.html#calcError-org.opencv.ml.TrainData-boolean-org.opencv.core.Mat-">calcError</a>, <a href="../../../org/opencv/ml/StatModel.html#empty--">empty</a>, <a href="../../../org/opencv/ml/StatModel.html#getVarCount--">getVarCount</a>, <a href="../../../org/opencv/ml/StatModel.html#isClassifier--">isClassifier</a>, <a href="../../../org/opencv/ml/StatModel.html#isTrained--">isTrained</a>, <a href="../../../org/opencv/ml/StatModel.html#predict-org.opencv.core.Mat-">predict</a>, <a href="../../../org/opencv/ml/StatModel.html#predict-org.opencv.core.Mat-org.opencv.core.Mat-">predict</a>, <a href="../../../org/opencv/ml/StatModel.html#predict-org.opencv.core.Mat-org.opencv.core.Mat-int-">predict</a>, <a href="../../../org/opencv/ml/StatModel.html#train-org.opencv.core.Mat-int-org.opencv.core.Mat-">train</a>, <a href="../../../org/opencv/ml/StatModel.html#train-org.opencv.ml.TrainData-">train</a>, <a href="../../../org/opencv/ml/StatModel.html#train-org.opencv.ml.TrainData-int-">train</a></code></li>
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<code><a href="../../../org/opencv/core/Algorithm.html#clear--">clear</a>, <a href="../../../org/opencv/core/Algorithm.html#getDefaultName--">getDefaultName</a>, <a href="../../../org/opencv/core/Algorithm.html#getNativeObjAddr--">getNativeObjAddr</a>, <a href="../../../org/opencv/core/Algorithm.html#save-java.lang.String-">save</a></code></li>
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<h3>Methods inherited from class java.lang.Object</h3>
<code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
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<a name="PREDICT_AUTO">
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<h4>PREDICT_AUTO</h4>
<pre>public static final int PREDICT_AUTO</pre>
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<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../constant-values.html#org.opencv.ml.DTrees.PREDICT_AUTO">Constant Field Values</a></dd>
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<h4>PREDICT_MASK</h4>
<pre>public static final int PREDICT_MASK</pre>
<dl>
<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../constant-values.html#org.opencv.ml.DTrees.PREDICT_MASK">Constant Field Values</a></dd>
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<h4>PREDICT_MAX_VOTE</h4>
<pre>public static final int PREDICT_MAX_VOTE</pre>
<dl>
<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../constant-values.html#org.opencv.ml.DTrees.PREDICT_MAX_VOTE">Constant Field Values</a></dd>
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<h4>PREDICT_SUM</h4>
<pre>public static final int PREDICT_SUM</pre>
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<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../constant-values.html#org.opencv.ml.DTrees.PREDICT_SUM">Constant Field Values</a></dd>
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<a name="Z:Z__fromPtr__-long-">
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<h4>__fromPtr__</h4>
<pre>public static <a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a> __fromPtr__(long addr)</pre>
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<a name="create--">
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<h4>create</h4>
<pre>public static <a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a> create()</pre>
<div class="block">Creates the empty model
The static method creates empty decision tree with the specified parameters. It should be then
trained using train method (see StatModel::train). Alternatively, you can load the model from
file using Algorithm::load<DTrees>(filename).</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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<a name="getCVFolds--">
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<h4>getCVFolds</h4>
<pre>public int getCVFolds()</pre>
<div class="block">SEE: setCVFolds</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
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<h4>getMaxCategories</h4>
<pre>public int getMaxCategories()</pre>
<div class="block">SEE: setMaxCategories</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
</li>
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<a name="getMaxDepth--">
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<h4>getMaxDepth</h4>
<pre>public int getMaxDepth()</pre>
<div class="block">SEE: setMaxDepth</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
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<h4>getMinSampleCount</h4>
<pre>public int getMinSampleCount()</pre>
<div class="block">SEE: setMinSampleCount</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
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</ul>
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<h4>getPriors</h4>
<pre>public <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> getPriors()</pre>
<div class="block">SEE: setPriors</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
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</ul>
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<h4>getRegressionAccuracy</h4>
<pre>public float getRegressionAccuracy()</pre>
<div class="block">SEE: setRegressionAccuracy</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
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<h4>getTruncatePrunedTree</h4>
<pre>public boolean getTruncatePrunedTree()</pre>
<div class="block">SEE: setTruncatePrunedTree</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
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<h4>getUse1SERule</h4>
<pre>public boolean getUse1SERule()</pre>
<div class="block">SEE: setUse1SERule</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
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<h4>getUseSurrogates</h4>
<pre>public boolean getUseSurrogates()</pre>
<div class="block">SEE: setUseSurrogates</div>
<dl>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
</dl>
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</ul>
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<h4>load</h4>
<pre>public static <a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a> load(java.lang.String filepath)</pre>
<div class="block">Loads and creates a serialized DTrees from a file
Use DTree::save to serialize and store an DTree to disk.
Load the DTree from this file again, by calling this function with the path to the file.
Optionally specify the node for the file containing the classifier</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>filepath</code> - path to serialized DTree</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
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</ul>
<a name="load-java.lang.String-java.lang.String-">
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<h4>load</h4>
<pre>public static <a href="../../../org/opencv/ml/DTrees.html" title="class in org.opencv.ml">DTrees</a> load(java.lang.String filepath,
java.lang.String nodeName)</pre>
<div class="block">Loads and creates a serialized DTrees from a file
Use DTree::save to serialize and store an DTree to disk.
Load the DTree from this file again, by calling this function with the path to the file.
Optionally specify the node for the file containing the classifier</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>filepath</code> - path to serialized DTree</dd>
<dd><code>nodeName</code> - name of node containing the classifier</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>automatically generated</dd>
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<h4>setCVFolds</h4>
<pre>public void setCVFolds(int val)</pre>
<div class="block">getCVFolds SEE: getCVFolds</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
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<h4>setMaxCategories</h4>
<pre>public void setMaxCategories(int val)</pre>
<div class="block">getMaxCategories SEE: getMaxCategories</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
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<h4>setMaxDepth</h4>
<pre>public void setMaxDepth(int val)</pre>
<div class="block">getMaxDepth SEE: getMaxDepth</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
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<h4>setMinSampleCount</h4>
<pre>public void setMinSampleCount(int val)</pre>
<div class="block">getMinSampleCount SEE: getMinSampleCount</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
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<h4>setPriors</h4>
<pre>public void setPriors(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> val)</pre>
<div class="block">getPriors SEE: getPriors</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
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</ul>
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<h4>setRegressionAccuracy</h4>
<pre>public void setRegressionAccuracy(float val)</pre>
<div class="block">getRegressionAccuracy SEE: getRegressionAccuracy</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
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</ul>
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<h4>setTruncatePrunedTree</h4>
<pre>public void setTruncatePrunedTree(boolean val)</pre>
<div class="block">getTruncatePrunedTree SEE: getTruncatePrunedTree</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
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<h4>setUse1SERule</h4>
<pre>public void setUse1SERule(boolean val)</pre>
<div class="block">getUse1SERule SEE: getUse1SERule</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
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<h4>setUseSurrogates</h4>
<pre>public void setUseSurrogates(boolean val)</pre>
<div class="block">getUseSurrogates SEE: getUseSurrogates</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>val</code> - automatically generated</dd>
</dl>
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<p class="legalCopy"><small>Generated on 2024-06-02 16:58:23 / OpenCV 4.10.0</small></p>
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