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<div class="subTitle">org.opencv.dnn</div>
<h2 title="Class TextDetectionModel" class="title">Class TextDetectionModel</h2>
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<ul class="inheritance">
<li>java.lang.Object</li>
<li>
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<li><a href="../../../org/opencv/dnn/Model.html" title="class in org.opencv.dnn">org.opencv.dnn.Model</a></li>
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<ul class="inheritance">
<li>org.opencv.dnn.TextDetectionModel</li>
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<dt>Direct Known Subclasses:</dt>
<dd><a href="../../../org/opencv/dnn/TextDetectionModel_DB.html" title="class in org.opencv.dnn">TextDetectionModel_DB</a>, <a href="../../../org/opencv/dnn/TextDetectionModel_EAST.html" title="class in org.opencv.dnn">TextDetectionModel_EAST</a></dd>
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<pre>public class <span class="typeNameLabel">TextDetectionModel</span>
extends <a href="../../../org/opencv/dnn/Model.html" title="class in org.opencv.dnn">Model</a></pre>
<div class="block">Base class for text detection networks</div>
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<caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd">&nbsp;</span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t2" class="tableTab"><span><a href="javascript:show(2);">Instance Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd">&nbsp;</span></span></caption>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
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<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/TextDetectionModel.html" title="class in org.opencv.dnn">TextDetectionModel</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/TextDetectionModel.html#Z:Z__fromPtr__-long-">__fromPtr__</a></span>(long&nbsp;addr)</code>&nbsp;</td>
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<tr id="i1" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/TextDetectionModel.html#detect-org.opencv.core.Mat-java.util.List-">detect</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;frame,
      java.util.List&lt;<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>&gt;&nbsp;detections)</code>&nbsp;</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/dnn/TextDetectionModel.html#detect-org.opencv.core.Mat-java.util.List-org.opencv.core.MatOfFloat-">detect</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;frame,
      java.util.List&lt;<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>&gt;&nbsp;detections,
      <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;confidences)</code>
<div class="block">Performs detection

 Given the input <code>frame</code>, prepare network input, run network inference, post-process network output and return result detections.</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/dnn/TextDetectionModel.html#detectTextRectangles-org.opencv.core.Mat-org.opencv.core.MatOfRotatedRect-">detectTextRectangles</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;frame,
                    <a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a>&nbsp;detections)</code>&nbsp;</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/dnn/TextDetectionModel.html#detectTextRectangles-org.opencv.core.Mat-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-">detectTextRectangles</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;frame,
                    <a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a>&nbsp;detections,
                    <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;confidences)</code>
<div class="block">Performs detection

 Given the input <code>frame</code>, prepare network input, run network inference, post-process network output and return result detections.</div>
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<code><a href="../../../org/opencv/dnn/Model.html#getNativeObjAddr--">getNativeObjAddr</a>, <a href="../../../org/opencv/dnn/Model.html#predict-org.opencv.core.Mat-java.util.List-">predict</a>, <a href="../../../org/opencv/dnn/Model.html#setInputCrop-boolean-">setInputCrop</a>, <a href="../../../org/opencv/dnn/Model.html#setInputMean-org.opencv.core.Scalar-">setInputMean</a>, <a href="../../../org/opencv/dnn/Model.html#setInputParams--">setInputParams</a>, <a href="../../../org/opencv/dnn/Model.html#setInputParams-double-">setInputParams</a>, <a href="../../../org/opencv/dnn/Model.html#setInputParams-double-org.opencv.core.Size-">setInputParams</a>, <a href="../../../org/opencv/dnn/Model.html#setInputParams-double-org.opencv.core.Size-org.opencv.core.Scalar-">setInputParams</a>, <a href="../../../org/opencv/dnn/Model.html#setInputParams-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-">setInputParams</a>, <a href="../../../org/opencv/dnn/Model.html#setInputParams-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-">setInputParams</a>, <a href="../../../org/opencv/dnn/Model.html#setInputScale-org.opencv.core.Scalar-">setInputScale</a>, <a href="../../../org/opencv/dnn/Model.html#setInputSize-int-int-">setInputSize</a>, <a href="../../../org/opencv/dnn/Model.html#setInputSize-org.opencv.core.Size-">setInputSize</a>, <a href="../../../org/opencv/dnn/Model.html#setInputSwapRB-boolean-">setInputSwapRB</a>, <a href="../../../org/opencv/dnn/Model.html#setPreferableBackend-int-">setPreferableBackend</a>, <a href="../../../org/opencv/dnn/Model.html#setPreferableTarget-int-">setPreferableTarget</a></code></li>
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<h3>Methods inherited from class&nbsp;java.lang.Object</h3>
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<h4>__fromPtr__</h4>
<pre>public static&nbsp;<a href="../../../org/opencv/dnn/TextDetectionModel.html" title="class in org.opencv.dnn">TextDetectionModel</a>&nbsp;__fromPtr__(long&nbsp;addr)</pre>
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<h4>detect</h4>
<pre>public&nbsp;void&nbsp;detect(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;frame,
                   java.util.List&lt;<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>&gt;&nbsp;detections)</pre>
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<h4>detect</h4>
<pre>public&nbsp;void&nbsp;detect(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;frame,
                   java.util.List&lt;<a href="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</a>&gt;&nbsp;detections,
                   <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;confidences)</pre>
<div class="block">Performs detection

 Given the input <code>frame</code>, prepare network input, run network inference, post-process network output and return result detections.

 Each result is quadrangle's 4 points in this order:
 - bottom-left
 - top-left
 - top-right
 - bottom-right

 Use cv::getPerspectiveTransform function to retrieve image region without perspective transformations.

 <b>Note:</b> If DL model doesn't support that kind of output then result may be derived from detectTextRectangles() output.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>frame</code> - The input image</dd>
<dd><code>detections</code> - array with detections' quadrangles (4 points per result)</dd>
<dd><code>confidences</code> - array with detection confidences</dd>
</dl>
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<h4>detectTextRectangles</h4>
<pre>public&nbsp;void&nbsp;detectTextRectangles(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;frame,
                                 <a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a>&nbsp;detections)</pre>
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<h4>detectTextRectangles</h4>
<pre>public&nbsp;void&nbsp;detectTextRectangles(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;frame,
                                 <a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a>&nbsp;detections,
                                 <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;confidences)</pre>
<div class="block">Performs detection

 Given the input <code>frame</code>, prepare network input, run network inference, post-process network output and return result detections.

 Each result is rotated rectangle.

 <b>Note:</b> Result may be inaccurate in case of strong perspective transformations.</div>
<dl>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>frame</code> - the input image</dd>
<dd><code>detections</code> - array with detections' RotationRect results</dd>
<dd><code>confidences</code> - array with detection confidences</dd>
</dl>
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