2456 lines
132 KiB
HTML
2456 lines
132 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 08:13:29 UTC 2021 -->
|
||
|
|
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||
|
|
<title>Dnn (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="Dnn (OpenCV 4.5.5 Java documentation)";
|
||
|
|
}
|
||
|
|
}
|
||
|
|
catch(err) {
|
||
|
|
}
|
||
|
|
//-->
|
||
|
|
var methods = {"i0":9,"i1":9,"i2":9,"i3":9,"i4":9,"i5":9,"i6":9,"i7":9,"i8":9,"i9":9,"i10":9,"i11":9,"i12":9,"i13":9,"i14":9,"i15":9,"i16":9,"i17":9,"i18":9,"i19":9,"i20":9,"i21":9,"i22":9,"i23":9,"i24":9,"i25":9,"i26":9,"i27":9,"i28":9,"i29":9,"i30":9,"i31":9,"i32":9,"i33":9,"i34":9,"i35":9,"i36":9,"i37":9,"i38":9,"i39":9,"i40":9,"i41":9,"i42":9,"i43":9,"i44":9,"i45":9,"i46":9,"i47":9,"i48":9,"i49":9,"i50":9,"i51":9,"i52":9,"i53":9,"i54":9,"i55":9,"i56":9,"i57":9,"i58":9,"i59":9,"i60":9};
|
||
|
|
var tabs = {65535:["t0","All Methods"],1:["t1","Static 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/dnn/DictValue.html" title="class in org.opencv.dnn"><span class="typeNameLink">Prev Class</span></a></li>
|
||
|
|
<li><a href="../../../org/opencv/dnn/KeypointsModel.html" title="class in org.opencv.dnn"><span class="typeNameLink">Next Class</span></a></li>
|
||
|
|
</ul>
|
||
|
|
<ul class="navList">
|
||
|
|
<li><a href="../../../index.html?org/opencv/dnn/Dnn.html" target="_top">Frames</a></li>
|
||
|
|
<li><a href="Dnn.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><a href="#field.summary">Field</a> | </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><a href="#field.detail">Field</a> | </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.dnn</div>
|
||
|
|
<h2 title="Class Dnn" class="title">Class Dnn</h2>
|
||
|
|
</div>
|
||
|
|
<div class="contentContainer">
|
||
|
|
<ul class="inheritance">
|
||
|
|
<li>java.lang.Object</li>
|
||
|
|
<li>
|
||
|
|
<ul class="inheritance">
|
||
|
|
<li>org.opencv.dnn.Dnn</li>
|
||
|
|
</ul>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<div class="description">
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<hr>
|
||
|
|
<br>
|
||
|
|
<pre>public class <span class="typeNameLabel">Dnn</span>
|
||
|
|
extends java.lang.Object</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
</div>
|
||
|
|
<div class="summary">
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<!-- =========== FIELD SUMMARY =========== -->
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList"><a name="field.summary">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<h3>Field Summary</h3>
|
||
|
|
<table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Field Summary table, listing fields, and an explanation">
|
||
|
|
<caption><span>Fields</span><span class="tabEnd"> </span></caption>
|
||
|
|
<tr>
|
||
|
|
<th class="colFirst" scope="col">Modifier and Type</th>
|
||
|
|
<th class="colLast" scope="col">Field and Description</th>
|
||
|
|
</tr>
|
||
|
|
<tr class="altColor">
|
||
|
|
<td class="colFirst"><code>static int</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_BACKEND_CUDA">DNN_BACKEND_CUDA</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/dnn/Dnn.html#DNN_BACKEND_DEFAULT">DNN_BACKEND_DEFAULT</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/dnn/Dnn.html#DNN_BACKEND_HALIDE">DNN_BACKEND_HALIDE</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/dnn/Dnn.html#DNN_BACKEND_INFERENCE_ENGINE">DNN_BACKEND_INFERENCE_ENGINE</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/dnn/Dnn.html#DNN_BACKEND_OPENCV">DNN_BACKEND_OPENCV</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/dnn/Dnn.html#DNN_BACKEND_VKCOM">DNN_BACKEND_VKCOM</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/dnn/Dnn.html#DNN_BACKEND_WEBNN">DNN_BACKEND_WEBNN</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/dnn/Dnn.html#DNN_TARGET_CPU">DNN_TARGET_CPU</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/dnn/Dnn.html#DNN_TARGET_CUDA">DNN_TARGET_CUDA</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/dnn/Dnn.html#DNN_TARGET_CUDA_FP16">DNN_TARGET_CUDA_FP16</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/dnn/Dnn.html#DNN_TARGET_FPGA">DNN_TARGET_FPGA</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/dnn/Dnn.html#DNN_TARGET_HDDL">DNN_TARGET_HDDL</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/dnn/Dnn.html#DNN_TARGET_MYRIAD">DNN_TARGET_MYRIAD</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/dnn/Dnn.html#DNN_TARGET_OPENCL">DNN_TARGET_OPENCL</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/dnn/Dnn.html#DNN_TARGET_OPENCL_FP16">DNN_TARGET_OPENCL_FP16</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/dnn/Dnn.html#DNN_TARGET_VULKAN">DNN_TARGET_VULKAN</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/dnn/Dnn.html#SoftNMSMethod_SOFTNMS_GAUSSIAN">SoftNMSMethod_SOFTNMS_GAUSSIAN</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/dnn/Dnn.html#SoftNMSMethod_SOFTNMS_LINEAR">SoftNMSMethod_SOFTNMS_LINEAR</a></span></code> </td>
|
||
|
|
</tr>
|
||
|
|
</table>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<!-- ======== 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/dnn/Dnn.html#Dnn--">Dnn</a></span>()</code> </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="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/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i1" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i2" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i3" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i4" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i5" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB,
|
||
|
|
boolean crop)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i6" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-int-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB,
|
||
|
|
boolean crop,
|
||
|
|
int ddepth)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i7" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImages-java.util.List-">blobFromImages</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i8" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImages-java.util.List-double-">blobFromImages</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i9" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImages-java.util.List-double-org.opencv.core.Size-">blobFromImages</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i10" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-">blobFromImages</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i11" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-">blobFromImages</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i12" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-">blobFromImages</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB,
|
||
|
|
boolean crop)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i13" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-int-">blobFromImages</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB,
|
||
|
|
boolean crop,
|
||
|
|
int ddepth)</code>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i14" class="altColor">
|
||
|
|
<td class="colFirst"><code>static java.util.List<java.lang.Integer></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#getAvailableTargets-int-">getAvailableTargets</a></span>(int be)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i15" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static java.lang.String</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#getInferenceEngineBackendType--">getInferenceEngineBackendType</a></span>()</code>
|
||
|
|
<div class="block">Returns Inference Engine internal backend API.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i16" class="altColor">
|
||
|
|
<td class="colFirst"><code>static java.lang.String</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#getInferenceEngineCPUType--">getInferenceEngineCPUType</a></span>()</code>
|
||
|
|
<div class="block">Returns Inference Engine CPU type.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i17" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static java.lang.String</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#getInferenceEngineVPUType--">getInferenceEngineVPUType</a></span>()</code>
|
||
|
|
<div class="block">Returns Inference Engine VPU type.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i18" class="altColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#imagesFromBlob-org.opencv.core.Mat-java.util.List-">imagesFromBlob</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blob_,
|
||
|
|
java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images_)</code>
|
||
|
|
<div class="block">Parse a 4D blob and output the images it contains as 2D arrays through a simpler data structure
|
||
|
|
(std::vector<cv::Mat>).</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i19" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">NMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices)</code>
|
||
|
|
<div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i20" class="altColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-">NMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
float eta)</code>
|
||
|
|
<div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i21" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-int-">NMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
float eta,
|
||
|
|
int top_k)</code>
|
||
|
|
<div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i22" class="altColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">NMSBoxesRotated</a></span>(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i23" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-">NMSBoxesRotated</a></span>(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
float eta)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i24" class="altColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-int-">NMSBoxesRotated</a></span>(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
float eta,
|
||
|
|
int top_k)</code> </td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i25" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNet-java.lang.String-">readNet</a></span>(java.lang.String model)</code>
|
||
|
|
<div class="block">Read deep learning network represented in one of the supported formats.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i26" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNet-java.lang.String-org.opencv.core.MatOfByte-">readNet</a></span>(java.lang.String framework,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel)</code>
|
||
|
|
<div class="block">Read deep learning network represented in one of the supported formats.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i27" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNet-java.lang.String-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">readNet</a></span>(java.lang.String framework,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferConfig)</code>
|
||
|
|
<div class="block">Read deep learning network represented in one of the supported formats.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i28" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNet-java.lang.String-java.lang.String-">readNet</a></span>(java.lang.String model,
|
||
|
|
java.lang.String config)</code>
|
||
|
|
<div class="block">Read deep learning network represented in one of the supported formats.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i29" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNet-java.lang.String-java.lang.String-java.lang.String-">readNet</a></span>(java.lang.String model,
|
||
|
|
java.lang.String config,
|
||
|
|
java.lang.String framework)</code>
|
||
|
|
<div class="block">Read deep learning network represented in one of the supported formats.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i30" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromCaffe-org.opencv.core.MatOfByte-">readNetFromCaffe</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferProto)</code>
|
||
|
|
<div class="block">Reads a network model stored in Caffe model in memory.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i31" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromCaffe-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">readNetFromCaffe</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferProto,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel)</code>
|
||
|
|
<div class="block">Reads a network model stored in Caffe model in memory.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i32" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromCaffe-java.lang.String-">readNetFromCaffe</a></span>(java.lang.String prototxt)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="http://caffe.berkeleyvision.org">Caffe</a> framework's format.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i33" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromCaffe-java.lang.String-java.lang.String-">readNetFromCaffe</a></span>(java.lang.String prototxt,
|
||
|
|
java.lang.String caffeModel)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="http://caffe.berkeleyvision.org">Caffe</a> framework's format.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i34" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromDarknet-org.opencv.core.MatOfByte-">readNetFromDarknet</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferCfg)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i35" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromDarknet-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">readNetFromDarknet</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferCfg,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i36" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromDarknet-java.lang.String-">readNetFromDarknet</a></span>(java.lang.String cfgFile)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i37" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromDarknet-java.lang.String-java.lang.String-">readNetFromDarknet</a></span>(java.lang.String cfgFile,
|
||
|
|
java.lang.String darknetModel)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i38" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromModelOptimizer-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">readNetFromModelOptimizer</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModelConfig,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferWeights)</code>
|
||
|
|
<div class="block">Load a network from Intel's Model Optimizer intermediate representation.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i39" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromModelOptimizer-java.lang.String-java.lang.String-">readNetFromModelOptimizer</a></span>(java.lang.String xml,
|
||
|
|
java.lang.String bin)</code>
|
||
|
|
<div class="block">Load a network from Intel's Model Optimizer intermediate representation.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i40" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromONNX-org.opencv.core.MatOfByte-">readNetFromONNX</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> buffer)</code>
|
||
|
|
<div class="block">Reads a network model from <a href="https://onnx.ai/">ONNX</a>
|
||
|
|
in-memory buffer.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i41" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromONNX-java.lang.String-">readNetFromONNX</a></span>(java.lang.String onnxFile)</code>
|
||
|
|
<div class="block">Reads a network model <a href="https://onnx.ai/">ONNX</a>.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i42" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTensorflow-org.opencv.core.MatOfByte-">readNetFromTensorflow</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i43" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTensorflow-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">readNetFromTensorflow</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferConfig)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i44" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTensorflow-java.lang.String-">readNetFromTensorflow</a></span>(java.lang.String model)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i45" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTensorflow-java.lang.String-java.lang.String-">readNetFromTensorflow</a></span>(java.lang.String model,
|
||
|
|
java.lang.String config)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i46" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTorch-java.lang.String-">readNetFromTorch</a></span>(java.lang.String model)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="http://torch.ch">Torch7</a> framework's format.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i47" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTorch-java.lang.String-boolean-">readNetFromTorch</a></span>(java.lang.String model,
|
||
|
|
boolean isBinary)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="http://torch.ch">Torch7</a> framework's format.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i48" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTorch-java.lang.String-boolean-boolean-">readNetFromTorch</a></span>(java.lang.String model,
|
||
|
|
boolean isBinary,
|
||
|
|
boolean evaluate)</code>
|
||
|
|
<div class="block">Reads a network model stored in <a href="http://torch.ch">Torch7</a> framework's format.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i49" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#readTensorFromONNX-java.lang.String-">readTensorFromONNX</a></span>(java.lang.String path)</code>
|
||
|
|
<div class="block">Creates blob from .pb file.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i50" class="altColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#readTorchBlob-java.lang.String-">readTorchBlob</a></span>(java.lang.String filename)</code>
|
||
|
|
<div class="block">Loads blob which was serialized as torch.Tensor object of Torch7 framework.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i51" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static <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/dnn/Dnn.html#readTorchBlob-java.lang.String-boolean-">readTorchBlob</a></span>(java.lang.String filename,
|
||
|
|
boolean isBinary)</code>
|
||
|
|
<div class="block">Loads blob which was serialized as torch.Tensor object of Torch7 framework.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i52" class="altColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#releaseHDDLPlugin--">releaseHDDLPlugin</a></span>()</code>
|
||
|
|
<div class="block">Release a HDDL plugin.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i53" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#resetMyriadDevice--">resetMyriadDevice</a></span>()</code>
|
||
|
|
<div class="block">Release a Myriad device (binded by OpenCV).</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i54" class="altColor">
|
||
|
|
<td class="colFirst"><code>static java.lang.String</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#setInferenceEngineBackendType-java.lang.String-">setInferenceEngineBackendType</a></span>(java.lang.String newBackendType)</code>
|
||
|
|
<div class="block">Specify Inference Engine internal backend API.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i55" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#shrinkCaffeModel-java.lang.String-java.lang.String-">shrinkCaffeModel</a></span>(java.lang.String src,
|
||
|
|
java.lang.String dst)</code>
|
||
|
|
<div class="block">Convert all weights of Caffe network to half precision floating point.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i56" class="altColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#shrinkCaffeModel-java.lang.String-java.lang.String-java.util.List-">shrinkCaffeModel</a></span>(java.lang.String src,
|
||
|
|
java.lang.String dst,
|
||
|
|
java.util.List<java.lang.String> layersTypes)</code>
|
||
|
|
<div class="block">Convert all weights of Caffe network to half precision floating point.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i57" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">softNMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> updated_scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices)</code>
|
||
|
|
<div class="block">Performs soft non maximum suppression given boxes and corresponding scores.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i58" class="altColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-long-">softNMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> updated_scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
long top_k)</code>
|
||
|
|
<div class="block">Performs soft non maximum suppression given boxes and corresponding scores.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i59" class="rowColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-long-float-">softNMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> updated_scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
long top_k,
|
||
|
|
float sigma)</code>
|
||
|
|
<div class="block">Performs soft non maximum suppression given boxes and corresponding scores.</div>
|
||
|
|
</td>
|
||
|
|
</tr>
|
||
|
|
<tr id="i60" class="altColor">
|
||
|
|
<td class="colFirst"><code>static void</code></td>
|
||
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#writeTextGraph-java.lang.String-java.lang.String-">writeTextGraph</a></span>(java.lang.String model,
|
||
|
|
java.lang.String output)</code>
|
||
|
|
<div class="block">Create a text representation for a binary network stored in protocol buffer format.</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">
|
||
|
|
<!-- ============ FIELD DETAIL =========== -->
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList"><a name="field.detail">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<h3>Field Detail</h3>
|
||
|
|
<a name="DNN_BACKEND_CUDA">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_BACKEND_CUDA</h4>
|
||
|
|
<pre>public static final int DNN_BACKEND_CUDA</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_CUDA">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_BACKEND_DEFAULT">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_BACKEND_DEFAULT</h4>
|
||
|
|
<pre>public static final int DNN_BACKEND_DEFAULT</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_DEFAULT">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_BACKEND_HALIDE">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_BACKEND_HALIDE</h4>
|
||
|
|
<pre>public static final int DNN_BACKEND_HALIDE</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_HALIDE">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_BACKEND_INFERENCE_ENGINE">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_BACKEND_INFERENCE_ENGINE</h4>
|
||
|
|
<pre>public static final int DNN_BACKEND_INFERENCE_ENGINE</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_INFERENCE_ENGINE">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_BACKEND_OPENCV">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_BACKEND_OPENCV</h4>
|
||
|
|
<pre>public static final int DNN_BACKEND_OPENCV</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_OPENCV">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_BACKEND_VKCOM">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_BACKEND_VKCOM</h4>
|
||
|
|
<pre>public static final int DNN_BACKEND_VKCOM</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_VKCOM">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_BACKEND_WEBNN">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_BACKEND_WEBNN</h4>
|
||
|
|
<pre>public static final int DNN_BACKEND_WEBNN</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_WEBNN">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_TARGET_CPU">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_TARGET_CPU</h4>
|
||
|
|
<pre>public static final int DNN_TARGET_CPU</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_TARGET_CPU">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_TARGET_CUDA">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_TARGET_CUDA</h4>
|
||
|
|
<pre>public static final int DNN_TARGET_CUDA</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_TARGET_CUDA">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_TARGET_CUDA_FP16">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_TARGET_CUDA_FP16</h4>
|
||
|
|
<pre>public static final int DNN_TARGET_CUDA_FP16</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_TARGET_CUDA_FP16">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_TARGET_FPGA">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_TARGET_FPGA</h4>
|
||
|
|
<pre>public static final int DNN_TARGET_FPGA</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_TARGET_FPGA">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_TARGET_HDDL">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_TARGET_HDDL</h4>
|
||
|
|
<pre>public static final int DNN_TARGET_HDDL</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_TARGET_HDDL">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_TARGET_MYRIAD">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_TARGET_MYRIAD</h4>
|
||
|
|
<pre>public static final int DNN_TARGET_MYRIAD</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_TARGET_MYRIAD">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_TARGET_OPENCL">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_TARGET_OPENCL</h4>
|
||
|
|
<pre>public static final int DNN_TARGET_OPENCL</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_TARGET_OPENCL">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_TARGET_OPENCL_FP16">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_TARGET_OPENCL_FP16</h4>
|
||
|
|
<pre>public static final int DNN_TARGET_OPENCL_FP16</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_TARGET_OPENCL_FP16">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="DNN_TARGET_VULKAN">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>DNN_TARGET_VULKAN</h4>
|
||
|
|
<pre>public static final int DNN_TARGET_VULKAN</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_TARGET_VULKAN">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="SoftNMSMethod_SOFTNMS_GAUSSIAN">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>SoftNMSMethod_SOFTNMS_GAUSSIAN</h4>
|
||
|
|
<pre>public static final int SoftNMSMethod_SOFTNMS_GAUSSIAN</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.SoftNMSMethod_SOFTNMS_GAUSSIAN">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="SoftNMSMethod_SOFTNMS_LINEAR">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockListLast">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>SoftNMSMethod_SOFTNMS_LINEAR</h4>
|
||
|
|
<pre>public static final int SoftNMSMethod_SOFTNMS_LINEAR</pre>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="seeLabel">See Also:</span></dt>
|
||
|
|
<dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.SoftNMSMethod_SOFTNMS_LINEAR">Constant Field Values</a></dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<!-- ========= CONSTRUCTOR DETAIL ======== -->
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList"><a name="constructor.detail">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<h3>Constructor Detail</h3>
|
||
|
|
<a name="Dnn--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockListLast">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>Dnn</h4>
|
||
|
|
<pre>public Dnn()</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<!-- ============ METHOD DETAIL ========== -->
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList"><a name="method.detail">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<h3>Method Detail</h3>
|
||
|
|
<a name="blobFromImage-org.opencv.core.Mat-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImage</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
|
||
|
|
subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - input image (with 1-, 3- or 4-channels).
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.
|
||
|
|
in 3-channel image is necessary.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImage-org.opencv.core.Mat-double-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImage</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
|
||
|
|
subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - input image (with 1-, 3- or 4-channels).
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>image</code> values.
|
||
|
|
in 3-channel image is necessary.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImage</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
|
||
|
|
subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - input image (with 1-, 3- or 4-channels).</dd>
|
||
|
|
<dd><code>size</code> - spatial size for output image
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>image</code> values.
|
||
|
|
in 3-channel image is necessary.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImage</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
|
||
|
|
subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - input image (with 1-, 3- or 4-channels).</dd>
|
||
|
|
<dd><code>size</code> - spatial size for output image</dd>
|
||
|
|
<dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>image</code> values.
|
||
|
|
in 3-channel image is necessary.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImage</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
|
||
|
|
subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - input image (with 1-, 3- or 4-channels).</dd>
|
||
|
|
<dd><code>size</code> - spatial size for output image</dd>
|
||
|
|
<dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>image</code> values.</dd>
|
||
|
|
<dd><code>swapRB</code> - flag which indicates that swap first and last channels
|
||
|
|
in 3-channel image is necessary.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImage</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB,
|
||
|
|
boolean crop)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
|
||
|
|
subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - input image (with 1-, 3- or 4-channels).</dd>
|
||
|
|
<dd><code>size</code> - spatial size for output image</dd>
|
||
|
|
<dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>image</code> values.</dd>
|
||
|
|
<dd><code>swapRB</code> - flag which indicates that swap first and last channels
|
||
|
|
in 3-channel image is necessary.</dd>
|
||
|
|
<dd><code>crop</code> - flag which indicates whether image will be cropped after resize or not
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-int-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImage</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> image,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB,
|
||
|
|
boolean crop,
|
||
|
|
int ddepth)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
|
||
|
|
subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>image</code> - input image (with 1-, 3- or 4-channels).</dd>
|
||
|
|
<dd><code>size</code> - spatial size for output image</dd>
|
||
|
|
<dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>image</code> values.</dd>
|
||
|
|
<dd><code>swapRB</code> - flag which indicates that swap first and last channels
|
||
|
|
in 3-channel image is necessary.</dd>
|
||
|
|
<dd><code>crop</code> - flag which indicates whether image will be cropped after resize or not</dd>
|
||
|
|
<dd><code>ddepth</code> - Depth of output blob. Choose CV_32F or CV_8U.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImages-java.util.List-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImages</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImages(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
|
||
|
|
crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
|
||
|
|
swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>images</code> - input images (all with 1-, 3- or 4-channels).
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.
|
||
|
|
in 3-channel image is necessary.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImages-java.util.List-double-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImages</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImages(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
|
||
|
|
crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
|
||
|
|
swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>images</code> - input images (all with 1-, 3- or 4-channels).
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>images</code> values.
|
||
|
|
in 3-channel image is necessary.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImages-java.util.List-double-org.opencv.core.Size-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImages</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImages(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
|
||
|
|
crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
|
||
|
|
swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>images</code> - input images (all with 1-, 3- or 4-channels).</dd>
|
||
|
|
<dd><code>size</code> - spatial size for output image
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>images</code> values.
|
||
|
|
in 3-channel image is necessary.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImages</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImages(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
|
||
|
|
crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
|
||
|
|
swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>images</code> - input images (all with 1-, 3- or 4-channels).</dd>
|
||
|
|
<dd><code>size</code> - spatial size for output image</dd>
|
||
|
|
<dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>images</code> values.
|
||
|
|
in 3-channel image is necessary.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImages</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImages(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
|
||
|
|
crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
|
||
|
|
swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>images</code> - input images (all with 1-, 3- or 4-channels).</dd>
|
||
|
|
<dd><code>size</code> - spatial size for output image</dd>
|
||
|
|
<dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>images</code> values.</dd>
|
||
|
|
<dd><code>swapRB</code> - flag which indicates that swap first and last channels
|
||
|
|
in 3-channel image is necessary.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImages</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImages(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB,
|
||
|
|
boolean crop)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
|
||
|
|
crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
|
||
|
|
swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>images</code> - input images (all with 1-, 3- or 4-channels).</dd>
|
||
|
|
<dd><code>size</code> - spatial size for output image</dd>
|
||
|
|
<dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>images</code> values.</dd>
|
||
|
|
<dd><code>swapRB</code> - flag which indicates that swap first and last channels
|
||
|
|
in 3-channel image is necessary.</dd>
|
||
|
|
<dd><code>crop</code> - flag which indicates whether image will be cropped after resize or not
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-int-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>blobFromImages</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blobFromImages(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images,
|
||
|
|
double scalefactor,
|
||
|
|
<a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a> size,
|
||
|
|
<a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a> mean,
|
||
|
|
boolean swapRB,
|
||
|
|
boolean crop,
|
||
|
|
int ddepth)</pre>
|
||
|
|
<div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
|
||
|
|
crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
|
||
|
|
swap Blue and Red channels.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>images</code> - input images (all with 1-, 3- or 4-channels).</dd>
|
||
|
|
<dd><code>size</code> - spatial size for output image</dd>
|
||
|
|
<dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
|
||
|
|
to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
|
||
|
|
<dd><code>scalefactor</code> - multiplier for <code>images</code> values.</dd>
|
||
|
|
<dd><code>swapRB</code> - flag which indicates that swap first and last channels
|
||
|
|
in 3-channel image is necessary.</dd>
|
||
|
|
<dd><code>crop</code> - flag which indicates whether image will be cropped after resize or not</dd>
|
||
|
|
<dd><code>ddepth</code> - Depth of output blob. Choose CV_32F or CV_8U.
|
||
|
|
if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
|
||
|
|
dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
|
||
|
|
If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>4-dimensional Mat with NCHW dimensions order.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="getAvailableTargets-int-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>getAvailableTargets</h4>
|
||
|
|
<pre>public static java.util.List<java.lang.Integer> getAvailableTargets(int be)</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="getInferenceEngineBackendType--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>getInferenceEngineBackendType</h4>
|
||
|
|
<pre>public static java.lang.String getInferenceEngineBackendType()</pre>
|
||
|
|
<div class="block">Returns Inference Engine internal backend API.
|
||
|
|
|
||
|
|
See values of <code>CV_DNN_BACKEND_INFERENCE_ENGINE_*</code> macros.
|
||
|
|
|
||
|
|
Default value is controlled through <code>OPENCV_DNN_BACKEND_INFERENCE_ENGINE_TYPE</code> runtime parameter (environment variable).</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="getInferenceEngineCPUType--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>getInferenceEngineCPUType</h4>
|
||
|
|
<pre>public static java.lang.String getInferenceEngineCPUType()</pre>
|
||
|
|
<div class="block">Returns Inference Engine CPU type.
|
||
|
|
|
||
|
|
Specify OpenVINO plugin: CPU or ARM.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="getInferenceEngineVPUType--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>getInferenceEngineVPUType</h4>
|
||
|
|
<pre>public static java.lang.String getInferenceEngineVPUType()</pre>
|
||
|
|
<div class="block">Returns Inference Engine VPU type.
|
||
|
|
|
||
|
|
See values of <code>CV_DNN_INFERENCE_ENGINE_VPU_TYPE_*</code> macros.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="imagesFromBlob-org.opencv.core.Mat-java.util.List-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>imagesFromBlob</h4>
|
||
|
|
<pre>public static void imagesFromBlob(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blob_,
|
||
|
|
java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> images_)</pre>
|
||
|
|
<div class="block">Parse a 4D blob and output the images it contains as 2D arrays through a simpler data structure
|
||
|
|
(std::vector<cv::Mat>).</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>blob_</code> - 4 dimensional array (images, channels, height, width) in floating point precision (CV_32F) from
|
||
|
|
which you would like to extract the images.</dd>
|
||
|
|
<dd><code>images_</code> - array of 2D Mat containing the images extracted from the blob in floating point precision
|
||
|
|
(CV_32F). They are non normalized neither mean added. The number of returned images equals the first dimension
|
||
|
|
of the blob (batch size). Every image has a number of channels equals to the second dimension of the blob (depth).</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>NMSBoxes</h4>
|
||
|
|
<pre>public static void NMSBoxes(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices)</pre>
|
||
|
|
<div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bboxes</code> - a set of bounding boxes to apply NMS.</dd>
|
||
|
|
<dd><code>scores</code> - a set of corresponding confidences.</dd>
|
||
|
|
<dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
|
||
|
|
<dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
|
||
|
|
<dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>NMSBoxes</h4>
|
||
|
|
<pre>public static void NMSBoxes(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
float eta)</pre>
|
||
|
|
<div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bboxes</code> - a set of bounding boxes to apply NMS.</dd>
|
||
|
|
<dd><code>scores</code> - a set of corresponding confidences.</dd>
|
||
|
|
<dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
|
||
|
|
<dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
|
||
|
|
<dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
|
||
|
|
<dd><code>eta</code> - a coefficient in adaptive threshold formula: \(nms\_threshold_{i+1}=eta\cdot nms\_threshold_i\).</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-int-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>NMSBoxes</h4>
|
||
|
|
<pre>public static void NMSBoxes(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
float eta,
|
||
|
|
int top_k)</pre>
|
||
|
|
<div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bboxes</code> - a set of bounding boxes to apply NMS.</dd>
|
||
|
|
<dd><code>scores</code> - a set of corresponding confidences.</dd>
|
||
|
|
<dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
|
||
|
|
<dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
|
||
|
|
<dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
|
||
|
|
<dd><code>eta</code> - a coefficient in adaptive threshold formula: \(nms\_threshold_{i+1}=eta\cdot nms\_threshold_i\).</dd>
|
||
|
|
<dd><code>top_k</code> - if <code>&gt;0</code>, keep at most <code>top_k</code> picked indices.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>NMSBoxesRotated</h4>
|
||
|
|
<pre>public static void NMSBoxesRotated(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices)</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>NMSBoxesRotated</h4>
|
||
|
|
<pre>public static void NMSBoxesRotated(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
float eta)</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-int-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>NMSBoxesRotated</h4>
|
||
|
|
<pre>public static void NMSBoxesRotated(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
float eta,
|
||
|
|
int top_k)</pre>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNet-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNet</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNet(java.lang.String model)</pre>
|
||
|
|
<div class="block">Read deep learning network represented in one of the supported formats.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>model</code> - Binary file contains trained weights. The following file
|
||
|
|
extensions are expected for models from different frameworks:
|
||
|
|
* <code>*.caffemodel</code> (Caffe, http://caffe.berkeleyvision.org/)
|
||
|
|
* <code>*.pb</code> (TensorFlow, https://www.tensorflow.org/)
|
||
|
|
* <code>*.t7</code> | <code>*.net</code> (Torch, http://torch.ch/)
|
||
|
|
* <code>*.weights</code> (Darknet, https://pjreddie.com/darknet/)
|
||
|
|
* <code>*.bin</code> (DLDT, https://software.intel.com/openvino-toolkit)
|
||
|
|
* <code>*.onnx</code> (ONNX, https://onnx.ai/)
|
||
|
|
file with the following extensions:
|
||
|
|
* <code>*.prototxt</code> (Caffe, http://caffe.berkeleyvision.org/)
|
||
|
|
* <code>*.pbtxt</code> (TensorFlow, https://www.tensorflow.org/)
|
||
|
|
* <code>*.cfg</code> (Darknet, https://pjreddie.com/darknet/)
|
||
|
|
* <code>*.xml</code> (DLDT, https://software.intel.com/openvino-toolkit)</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.
|
||
|
|
|
||
|
|
This function automatically detects an origin framework of trained model
|
||
|
|
and calls an appropriate function such REF: readNetFromCaffe, REF: readNetFromTensorflow,
|
||
|
|
REF: readNetFromTorch or REF: readNetFromDarknet. An order of <code>model</code> and <code>config</code>
|
||
|
|
arguments does not matter.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNet-java.lang.String-org.opencv.core.MatOfByte-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNet</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNet(java.lang.String framework,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel)</pre>
|
||
|
|
<div class="block">Read deep learning network represented in one of the supported formats.
|
||
|
|
This is an overloaded member function, provided for convenience.
|
||
|
|
It differs from the above function only in what argument(s) it accepts.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>framework</code> - Name of origin framework.</dd>
|
||
|
|
<dd><code>bufferModel</code> - A buffer with a content of binary file with weights</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNet-java.lang.String-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNet</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNet(java.lang.String framework,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferConfig)</pre>
|
||
|
|
<div class="block">Read deep learning network represented in one of the supported formats.
|
||
|
|
This is an overloaded member function, provided for convenience.
|
||
|
|
It differs from the above function only in what argument(s) it accepts.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>framework</code> - Name of origin framework.</dd>
|
||
|
|
<dd><code>bufferModel</code> - A buffer with a content of binary file with weights</dd>
|
||
|
|
<dd><code>bufferConfig</code> - A buffer with a content of text file contains network configuration.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNet-java.lang.String-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNet</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNet(java.lang.String model,
|
||
|
|
java.lang.String config)</pre>
|
||
|
|
<div class="block">Read deep learning network represented in one of the supported formats.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>model</code> - Binary file contains trained weights. The following file
|
||
|
|
extensions are expected for models from different frameworks:
|
||
|
|
* <code>*.caffemodel</code> (Caffe, http://caffe.berkeleyvision.org/)
|
||
|
|
* <code>*.pb</code> (TensorFlow, https://www.tensorflow.org/)
|
||
|
|
* <code>*.t7</code> | <code>*.net</code> (Torch, http://torch.ch/)
|
||
|
|
* <code>*.weights</code> (Darknet, https://pjreddie.com/darknet/)
|
||
|
|
* <code>*.bin</code> (DLDT, https://software.intel.com/openvino-toolkit)
|
||
|
|
* <code>*.onnx</code> (ONNX, https://onnx.ai/)</dd>
|
||
|
|
<dd><code>config</code> - Text file contains network configuration. It could be a
|
||
|
|
file with the following extensions:
|
||
|
|
* <code>*.prototxt</code> (Caffe, http://caffe.berkeleyvision.org/)
|
||
|
|
* <code>*.pbtxt</code> (TensorFlow, https://www.tensorflow.org/)
|
||
|
|
* <code>*.cfg</code> (Darknet, https://pjreddie.com/darknet/)
|
||
|
|
* <code>*.xml</code> (DLDT, https://software.intel.com/openvino-toolkit)</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.
|
||
|
|
|
||
|
|
This function automatically detects an origin framework of trained model
|
||
|
|
and calls an appropriate function such REF: readNetFromCaffe, REF: readNetFromTensorflow,
|
||
|
|
REF: readNetFromTorch or REF: readNetFromDarknet. An order of <code>model</code> and <code>config</code>
|
||
|
|
arguments does not matter.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNet-java.lang.String-java.lang.String-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNet</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNet(java.lang.String model,
|
||
|
|
java.lang.String config,
|
||
|
|
java.lang.String framework)</pre>
|
||
|
|
<div class="block">Read deep learning network represented in one of the supported formats.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>model</code> - Binary file contains trained weights. The following file
|
||
|
|
extensions are expected for models from different frameworks:
|
||
|
|
* <code>*.caffemodel</code> (Caffe, http://caffe.berkeleyvision.org/)
|
||
|
|
* <code>*.pb</code> (TensorFlow, https://www.tensorflow.org/)
|
||
|
|
* <code>*.t7</code> | <code>*.net</code> (Torch, http://torch.ch/)
|
||
|
|
* <code>*.weights</code> (Darknet, https://pjreddie.com/darknet/)
|
||
|
|
* <code>*.bin</code> (DLDT, https://software.intel.com/openvino-toolkit)
|
||
|
|
* <code>*.onnx</code> (ONNX, https://onnx.ai/)</dd>
|
||
|
|
<dd><code>config</code> - Text file contains network configuration. It could be a
|
||
|
|
file with the following extensions:
|
||
|
|
* <code>*.prototxt</code> (Caffe, http://caffe.berkeleyvision.org/)
|
||
|
|
* <code>*.pbtxt</code> (TensorFlow, https://www.tensorflow.org/)
|
||
|
|
* <code>*.cfg</code> (Darknet, https://pjreddie.com/darknet/)
|
||
|
|
* <code>*.xml</code> (DLDT, https://software.intel.com/openvino-toolkit)</dd>
|
||
|
|
<dd><code>framework</code> - Explicit framework name tag to determine a format.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.
|
||
|
|
|
||
|
|
This function automatically detects an origin framework of trained model
|
||
|
|
and calls an appropriate function such REF: readNetFromCaffe, REF: readNetFromTensorflow,
|
||
|
|
REF: readNetFromTorch or REF: readNetFromDarknet. An order of <code>model</code> and <code>config</code>
|
||
|
|
arguments does not matter.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromCaffe-org.opencv.core.MatOfByte-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromCaffe</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromCaffe(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferProto)</pre>
|
||
|
|
<div class="block">Reads a network model stored in Caffe model in memory.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bufferProto</code> - buffer containing the content of the .prototxt file</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromCaffe-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromCaffe</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromCaffe(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferProto,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel)</pre>
|
||
|
|
<div class="block">Reads a network model stored in Caffe model in memory.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bufferProto</code> - buffer containing the content of the .prototxt file</dd>
|
||
|
|
<dd><code>bufferModel</code> - buffer containing the content of the .caffemodel file</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromCaffe-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromCaffe</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromCaffe(java.lang.String prototxt)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="http://caffe.berkeleyvision.org">Caffe</a> framework's format.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>prototxt</code> - path to the .prototxt file with text description of the network architecture.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromCaffe-java.lang.String-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromCaffe</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromCaffe(java.lang.String prototxt,
|
||
|
|
java.lang.String caffeModel)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="http://caffe.berkeleyvision.org">Caffe</a> framework's format.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>prototxt</code> - path to the .prototxt file with text description of the network architecture.</dd>
|
||
|
|
<dd><code>caffeModel</code> - path to the .caffemodel file with learned network.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromDarknet-org.opencv.core.MatOfByte-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromDarknet</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromDarknet(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferCfg)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bufferCfg</code> - A buffer contains a content of .cfg file with text description of the network architecture.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromDarknet-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromDarknet</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromDarknet(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferCfg,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bufferCfg</code> - A buffer contains a content of .cfg file with text description of the network architecture.</dd>
|
||
|
|
<dd><code>bufferModel</code> - A buffer contains a content of .weights file with learned network.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromDarknet-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromDarknet</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromDarknet(java.lang.String cfgFile)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>cfgFile</code> - path to the .cfg file with text description of the network architecture.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Network object that ready to do forward, throw an exception in failure cases.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromDarknet-java.lang.String-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromDarknet</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromDarknet(java.lang.String cfgFile,
|
||
|
|
java.lang.String darknetModel)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>cfgFile</code> - path to the .cfg file with text description of the network architecture.</dd>
|
||
|
|
<dd><code>darknetModel</code> - path to the .weights file with learned network.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Network object that ready to do forward, throw an exception in failure cases.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromModelOptimizer-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromModelOptimizer</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromModelOptimizer(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModelConfig,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferWeights)</pre>
|
||
|
|
<div class="block">Load a network from Intel's Model Optimizer intermediate representation.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bufferModelConfig</code> - Buffer contains XML configuration with network's topology.</dd>
|
||
|
|
<dd><code>bufferWeights</code> - Buffer contains binary data with trained weights.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.
|
||
|
|
Networks imported from Intel's Model Optimizer are launched in Intel's Inference Engine
|
||
|
|
backend.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromModelOptimizer-java.lang.String-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromModelOptimizer</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromModelOptimizer(java.lang.String xml,
|
||
|
|
java.lang.String bin)</pre>
|
||
|
|
<div class="block">Load a network from Intel's Model Optimizer intermediate representation.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>xml</code> - XML configuration file with network's topology.</dd>
|
||
|
|
<dd><code>bin</code> - Binary file with trained weights.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.
|
||
|
|
Networks imported from Intel's Model Optimizer are launched in Intel's Inference Engine
|
||
|
|
backend.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromONNX-org.opencv.core.MatOfByte-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromONNX</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromONNX(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> buffer)</pre>
|
||
|
|
<div class="block">Reads a network model from <a href="https://onnx.ai/">ONNX</a>
|
||
|
|
in-memory buffer.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>buffer</code> - in-memory buffer that stores the ONNX model bytes.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Network object that ready to do forward, throw an exception
|
||
|
|
in failure cases.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromONNX-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromONNX</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromONNX(java.lang.String onnxFile)</pre>
|
||
|
|
<div class="block">Reads a network model <a href="https://onnx.ai/">ONNX</a>.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>onnxFile</code> - path to the .onnx file with text description of the network architecture.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Network object that ready to do forward, throw an exception in failure cases.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromTensorflow-org.opencv.core.MatOfByte-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromTensorflow</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromTensorflow(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bufferModel</code> - buffer containing the content of the pb file</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromTensorflow-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromTensorflow</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromTensorflow(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferModel,
|
||
|
|
<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a> bufferConfig)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bufferModel</code> - buffer containing the content of the pb file</dd>
|
||
|
|
<dd><code>bufferConfig</code> - buffer containing the content of the pbtxt file</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromTensorflow-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromTensorflow</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromTensorflow(java.lang.String model)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>model</code> - path to the .pb file with binary protobuf description of the network architecture
|
||
|
|
Resulting Net object is built by text graph using weights from a binary one that
|
||
|
|
let us make it more flexible.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromTensorflow-java.lang.String-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromTensorflow</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromTensorflow(java.lang.String model,
|
||
|
|
java.lang.String config)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>model</code> - path to the .pb file with binary protobuf description of the network architecture</dd>
|
||
|
|
<dd><code>config</code> - path to the .pbtxt file that contains text graph definition in protobuf format.
|
||
|
|
Resulting Net object is built by text graph using weights from a binary one that
|
||
|
|
let us make it more flexible.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromTorch-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromTorch</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromTorch(java.lang.String model)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="http://torch.ch">Torch7</a> framework's format.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>model</code> - path to the file, dumped from Torch by using torch.save() function.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.
|
||
|
|
|
||
|
|
<b>Note:</b> Ascii mode of Torch serializer is more preferable, because binary mode extensively use <code>long</code> type of C language,
|
||
|
|
which has various bit-length on different systems.
|
||
|
|
|
||
|
|
The loading file must contain serialized <a href="https://github.com/torch/nn/blob/master/doc/module.md">nn.Module</a> object
|
||
|
|
with importing network. Try to eliminate a custom objects from serialazing data to avoid importing errors.
|
||
|
|
|
||
|
|
List of supported layers (i.e. object instances derived from Torch nn.Module class):
|
||
|
|
- nn.Sequential
|
||
|
|
- nn.Parallel
|
||
|
|
- nn.Concat
|
||
|
|
- nn.Linear
|
||
|
|
- nn.SpatialConvolution
|
||
|
|
- nn.SpatialMaxPooling, nn.SpatialAveragePooling
|
||
|
|
- nn.ReLU, nn.TanH, nn.Sigmoid
|
||
|
|
- nn.Reshape
|
||
|
|
- nn.SoftMax, nn.LogSoftMax
|
||
|
|
|
||
|
|
Also some equivalents of these classes from cunn, cudnn, and fbcunn may be successfully imported.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromTorch-java.lang.String-boolean-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromTorch</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromTorch(java.lang.String model,
|
||
|
|
boolean isBinary)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="http://torch.ch">Torch7</a> framework's format.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>model</code> - path to the file, dumped from Torch by using torch.save() function.</dd>
|
||
|
|
<dd><code>isBinary</code> - specifies whether the network was serialized in ascii mode or binary.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.
|
||
|
|
|
||
|
|
<b>Note:</b> Ascii mode of Torch serializer is more preferable, because binary mode extensively use <code>long</code> type of C language,
|
||
|
|
which has various bit-length on different systems.
|
||
|
|
|
||
|
|
The loading file must contain serialized <a href="https://github.com/torch/nn/blob/master/doc/module.md">nn.Module</a> object
|
||
|
|
with importing network. Try to eliminate a custom objects from serialazing data to avoid importing errors.
|
||
|
|
|
||
|
|
List of supported layers (i.e. object instances derived from Torch nn.Module class):
|
||
|
|
- nn.Sequential
|
||
|
|
- nn.Parallel
|
||
|
|
- nn.Concat
|
||
|
|
- nn.Linear
|
||
|
|
- nn.SpatialConvolution
|
||
|
|
- nn.SpatialMaxPooling, nn.SpatialAveragePooling
|
||
|
|
- nn.ReLU, nn.TanH, nn.Sigmoid
|
||
|
|
- nn.Reshape
|
||
|
|
- nn.SoftMax, nn.LogSoftMax
|
||
|
|
|
||
|
|
Also some equivalents of these classes from cunn, cudnn, and fbcunn may be successfully imported.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readNetFromTorch-java.lang.String-boolean-boolean-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readNetFromTorch</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a> readNetFromTorch(java.lang.String model,
|
||
|
|
boolean isBinary,
|
||
|
|
boolean evaluate)</pre>
|
||
|
|
<div class="block">Reads a network model stored in <a href="http://torch.ch">Torch7</a> framework's format.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>model</code> - path to the file, dumped from Torch by using torch.save() function.</dd>
|
||
|
|
<dd><code>isBinary</code> - specifies whether the network was serialized in ascii mode or binary.</dd>
|
||
|
|
<dd><code>evaluate</code> - specifies testing phase of network. If true, it's similar to evaluate() method in Torch.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Net object.
|
||
|
|
|
||
|
|
<b>Note:</b> Ascii mode of Torch serializer is more preferable, because binary mode extensively use <code>long</code> type of C language,
|
||
|
|
which has various bit-length on different systems.
|
||
|
|
|
||
|
|
The loading file must contain serialized <a href="https://github.com/torch/nn/blob/master/doc/module.md">nn.Module</a> object
|
||
|
|
with importing network. Try to eliminate a custom objects from serialazing data to avoid importing errors.
|
||
|
|
|
||
|
|
List of supported layers (i.e. object instances derived from Torch nn.Module class):
|
||
|
|
- nn.Sequential
|
||
|
|
- nn.Parallel
|
||
|
|
- nn.Concat
|
||
|
|
- nn.Linear
|
||
|
|
- nn.SpatialConvolution
|
||
|
|
- nn.SpatialMaxPooling, nn.SpatialAveragePooling
|
||
|
|
- nn.ReLU, nn.TanH, nn.Sigmoid
|
||
|
|
- nn.Reshape
|
||
|
|
- nn.SoftMax, nn.LogSoftMax
|
||
|
|
|
||
|
|
Also some equivalents of these classes from cunn, cudnn, and fbcunn may be successfully imported.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readTensorFromONNX-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readTensorFromONNX</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> readTensorFromONNX(java.lang.String path)</pre>
|
||
|
|
<div class="block">Creates blob from .pb file.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>path</code> - to the .pb file with input tensor.</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>Mat.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readTorchBlob-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readTorchBlob</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> readTorchBlob(java.lang.String filename)</pre>
|
||
|
|
<div class="block">Loads blob which was serialized as torch.Tensor object of Torch7 framework.
|
||
|
|
WARNING: This function has the same limitations as readNetFromTorch().</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>filename</code> - automatically generated</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="readTorchBlob-java.lang.String-boolean-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>readTorchBlob</h4>
|
||
|
|
<pre>public static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> readTorchBlob(java.lang.String filename,
|
||
|
|
boolean isBinary)</pre>
|
||
|
|
<div class="block">Loads blob which was serialized as torch.Tensor object of Torch7 framework.
|
||
|
|
WARNING: This function has the same limitations as readNetFromTorch().</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>filename</code> - automatically generated</dd>
|
||
|
|
<dd><code>isBinary</code> - automatically generated</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>automatically generated</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="releaseHDDLPlugin--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>releaseHDDLPlugin</h4>
|
||
|
|
<pre>public static void releaseHDDLPlugin()</pre>
|
||
|
|
<div class="block">Release a HDDL plugin.</div>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="resetMyriadDevice--">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>resetMyriadDevice</h4>
|
||
|
|
<pre>public static void resetMyriadDevice()</pre>
|
||
|
|
<div class="block">Release a Myriad device (binded by OpenCV).
|
||
|
|
|
||
|
|
Single Myriad device cannot be shared across multiple processes which uses
|
||
|
|
Inference Engine's Myriad plugin.</div>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="setInferenceEngineBackendType-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>setInferenceEngineBackendType</h4>
|
||
|
|
<pre>public static java.lang.String setInferenceEngineBackendType(java.lang.String newBackendType)</pre>
|
||
|
|
<div class="block">Specify Inference Engine internal backend API.
|
||
|
|
|
||
|
|
See values of <code>CV_DNN_BACKEND_INFERENCE_ENGINE_*</code> macros.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>newBackendType</code> - automatically generated</dd>
|
||
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
||
|
|
<dd>previous value of internal backend API</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="shrinkCaffeModel-java.lang.String-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>shrinkCaffeModel</h4>
|
||
|
|
<pre>public static void shrinkCaffeModel(java.lang.String src,
|
||
|
|
java.lang.String dst)</pre>
|
||
|
|
<div class="block">Convert all weights of Caffe network to half precision floating point.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>src</code> - Path to origin model from Caffe framework contains single
|
||
|
|
precision floating point weights (usually has <code>.caffemodel</code> extension).</dd>
|
||
|
|
<dd><code>dst</code> - Path to destination model with updated weights.
|
||
|
|
By default, converts only Convolutional and Fully-Connected layers'
|
||
|
|
weights.
|
||
|
|
|
||
|
|
<b>Note:</b> Shrinked model has no origin float32 weights so it can't be used
|
||
|
|
in origin Caffe framework anymore. However the structure of data
|
||
|
|
is taken from NVidia's Caffe fork: https://github.com/NVIDIA/caffe.
|
||
|
|
So the resulting model may be used there.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="shrinkCaffeModel-java.lang.String-java.lang.String-java.util.List-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>shrinkCaffeModel</h4>
|
||
|
|
<pre>public static void shrinkCaffeModel(java.lang.String src,
|
||
|
|
java.lang.String dst,
|
||
|
|
java.util.List<java.lang.String> layersTypes)</pre>
|
||
|
|
<div class="block">Convert all weights of Caffe network to half precision floating point.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>src</code> - Path to origin model from Caffe framework contains single
|
||
|
|
precision floating point weights (usually has <code>.caffemodel</code> extension).</dd>
|
||
|
|
<dd><code>dst</code> - Path to destination model with updated weights.</dd>
|
||
|
|
<dd><code>layersTypes</code> - Set of layers types which parameters will be converted.
|
||
|
|
By default, converts only Convolutional and Fully-Connected layers'
|
||
|
|
weights.
|
||
|
|
|
||
|
|
<b>Note:</b> Shrinked model has no origin float32 weights so it can't be used
|
||
|
|
in origin Caffe framework anymore. However the structure of data
|
||
|
|
is taken from NVidia's Caffe fork: https://github.com/NVIDIA/caffe.
|
||
|
|
So the resulting model may be used there.</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>softNMSBoxes</h4>
|
||
|
|
<pre>public static void softNMSBoxes(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> updated_scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices)</pre>
|
||
|
|
<div class="block">Performs soft non maximum suppression given boxes and corresponding scores.
|
||
|
|
Reference: https://arxiv.org/abs/1704.04503</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bboxes</code> - a set of bounding boxes to apply Soft NMS.</dd>
|
||
|
|
<dd><code>scores</code> - a set of corresponding confidences.</dd>
|
||
|
|
<dd><code>updated_scores</code> - a set of corresponding updated confidences.</dd>
|
||
|
|
<dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
|
||
|
|
<dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
|
||
|
|
<dd><code>indices</code> - the kept indices of bboxes after NMS.
|
||
|
|
SEE: SoftNMSMethod</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-long-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>softNMSBoxes</h4>
|
||
|
|
<pre>public static void softNMSBoxes(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> updated_scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
long top_k)</pre>
|
||
|
|
<div class="block">Performs soft non maximum suppression given boxes and corresponding scores.
|
||
|
|
Reference: https://arxiv.org/abs/1704.04503</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bboxes</code> - a set of bounding boxes to apply Soft NMS.</dd>
|
||
|
|
<dd><code>scores</code> - a set of corresponding confidences.</dd>
|
||
|
|
<dd><code>updated_scores</code> - a set of corresponding updated confidences.</dd>
|
||
|
|
<dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
|
||
|
|
<dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
|
||
|
|
<dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
|
||
|
|
<dd><code>top_k</code> - keep at most <code>top_k</code> picked indices.
|
||
|
|
SEE: SoftNMSMethod</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-long-float-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockList">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>softNMSBoxes</h4>
|
||
|
|
<pre>public static void softNMSBoxes(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a> bboxes,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> scores,
|
||
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> updated_scores,
|
||
|
|
float score_threshold,
|
||
|
|
float nms_threshold,
|
||
|
|
<a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a> indices,
|
||
|
|
long top_k,
|
||
|
|
float sigma)</pre>
|
||
|
|
<div class="block">Performs soft non maximum suppression given boxes and corresponding scores.
|
||
|
|
Reference: https://arxiv.org/abs/1704.04503</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>bboxes</code> - a set of bounding boxes to apply Soft NMS.</dd>
|
||
|
|
<dd><code>scores</code> - a set of corresponding confidences.</dd>
|
||
|
|
<dd><code>updated_scores</code> - a set of corresponding updated confidences.</dd>
|
||
|
|
<dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
|
||
|
|
<dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
|
||
|
|
<dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
|
||
|
|
<dd><code>top_k</code> - keep at most <code>top_k</code> picked indices.</dd>
|
||
|
|
<dd><code>sigma</code> - parameter of Gaussian weighting.
|
||
|
|
SEE: SoftNMSMethod</dd>
|
||
|
|
</dl>
|
||
|
|
</li>
|
||
|
|
</ul>
|
||
|
|
<a name="writeTextGraph-java.lang.String-java.lang.String-">
|
||
|
|
<!-- -->
|
||
|
|
</a>
|
||
|
|
<ul class="blockListLast">
|
||
|
|
<li class="blockList">
|
||
|
|
<h4>writeTextGraph</h4>
|
||
|
|
<pre>public static void writeTextGraph(java.lang.String model,
|
||
|
|
java.lang.String output)</pre>
|
||
|
|
<div class="block">Create a text representation for a binary network stored in protocol buffer format.</div>
|
||
|
|
<dl>
|
||
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
||
|
|
<dd><code>model</code> - A path to binary network.</dd>
|
||
|
|
<dd><code>output</code> - A path to output text file to be created.
|
||
|
|
|
||
|
|
<b>Note:</b> To reduce output file size, trained weights are not included.</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/dnn/DictValue.html" title="class in org.opencv.dnn"><span class="typeNameLink">Prev Class</span></a></li>
|
||
|
|
<li><a href="../../../org/opencv/dnn/KeypointsModel.html" title="class in org.opencv.dnn"><span class="typeNameLink">Next Class</span></a></li>
|
||
|
|
</ul>
|
||
|
|
<ul class="navList">
|
||
|
|
<li><a href="../../../index.html?org/opencv/dnn/Dnn.html" target="_top">Frames</a></li>
|
||
|
|
<li><a href="Dnn.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><a href="#field.summary">Field</a> | </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><a href="#field.detail">Field</a> | </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>
|