Health/Assets/OpenCVForUnity/org/opencv/features2d/BOWTrainer.cs

203 lines
5.7 KiB
C#

using OpenCVForUnity.CoreModule;
using OpenCVForUnity.UtilsModule;
using System;
using System.Collections.Generic;
using System.Runtime.InteropServices;
namespace OpenCVForUnity.Features2dModule
{
// C++: class BOWTrainer
/**
* Abstract base class for training the *bag of visual words* vocabulary from a set of descriptors.
*
* For details, see, for example, *Visual Categorization with Bags of Keypoints* by Gabriella Csurka,
* Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cedric Bray, 2004. :
*/
public class BOWTrainer : DisposableOpenCVObject
{
protected override void Dispose(bool disposing)
{
try
{
if (disposing)
{
}
if (IsEnabledDispose)
{
if (nativeObj != IntPtr.Zero)
features2d_BOWTrainer_delete(nativeObj);
nativeObj = IntPtr.Zero;
}
}
finally
{
base.Dispose(disposing);
}
}
protected internal BOWTrainer(IntPtr addr) : base(addr) { }
public IntPtr getNativeObjAddr() { return nativeObj; }
// internal usage only
public static BOWTrainer __fromPtr__(IntPtr addr) { return new BOWTrainer(addr); }
//
// C++: void cv::BOWTrainer::add(Mat descriptors)
//
/**
* Adds descriptors to a training set.
*
* param descriptors Descriptors to add to a training set. Each row of the descriptors matrix is a
* descriptor.
*
* The training set is clustered using clustermethod to construct the vocabulary.
*/
public void add(Mat descriptors)
{
ThrowIfDisposed();
if (descriptors != null) descriptors.ThrowIfDisposed();
features2d_BOWTrainer_add_10(nativeObj, descriptors.nativeObj);
}
//
// C++: vector_Mat cv::BOWTrainer::getDescriptors()
//
/**
* Returns a training set of descriptors.
* return automatically generated
*/
public List<Mat> getDescriptors()
{
ThrowIfDisposed();
List<Mat> retVal = new List<Mat>();
Mat retValMat = new Mat(DisposableObject.ThrowIfNullIntPtr(features2d_BOWTrainer_getDescriptors_10(nativeObj)));
Converters.Mat_to_vector_Mat(retValMat, retVal);
return retVal;
}
//
// C++: int cv::BOWTrainer::descriptorsCount()
//
/**
* Returns the count of all descriptors stored in the training set.
* return automatically generated
*/
public int descriptorsCount()
{
ThrowIfDisposed();
return features2d_BOWTrainer_descriptorsCount_10(nativeObj);
}
//
// C++: void cv::BOWTrainer::clear()
//
public void clear()
{
ThrowIfDisposed();
features2d_BOWTrainer_clear_10(nativeObj);
}
//
// C++: Mat cv::BOWTrainer::cluster()
//
public virtual Mat cluster()
{
ThrowIfDisposed();
return new Mat(DisposableObject.ThrowIfNullIntPtr(features2d_BOWTrainer_cluster_10(nativeObj)));
}
//
// C++: Mat cv::BOWTrainer::cluster(Mat descriptors)
//
/**
* Clusters train descriptors.
*
* param descriptors Descriptors to cluster. Each row of the descriptors matrix is a descriptor.
* Descriptors are not added to the inner train descriptor set.
*
* The vocabulary consists of cluster centers. So, this method returns the vocabulary. In the first
* variant of the method, train descriptors stored in the object are clustered. In the second variant,
* input descriptors are clustered.
* return automatically generated
*/
public virtual Mat cluster(Mat descriptors)
{
ThrowIfDisposed();
if (descriptors != null) descriptors.ThrowIfDisposed();
return new Mat(DisposableObject.ThrowIfNullIntPtr(features2d_BOWTrainer_cluster_11(nativeObj, descriptors.nativeObj)));
}
#if (UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR
const string LIBNAME = "__Internal";
#else
const string LIBNAME = "opencvforunity";
#endif
// C++: void cv::BOWTrainer::add(Mat descriptors)
[DllImport(LIBNAME)]
private static extern void features2d_BOWTrainer_add_10(IntPtr nativeObj, IntPtr descriptors_nativeObj);
// C++: vector_Mat cv::BOWTrainer::getDescriptors()
[DllImport(LIBNAME)]
private static extern IntPtr features2d_BOWTrainer_getDescriptors_10(IntPtr nativeObj);
// C++: int cv::BOWTrainer::descriptorsCount()
[DllImport(LIBNAME)]
private static extern int features2d_BOWTrainer_descriptorsCount_10(IntPtr nativeObj);
// C++: void cv::BOWTrainer::clear()
[DllImport(LIBNAME)]
private static extern void features2d_BOWTrainer_clear_10(IntPtr nativeObj);
// C++: Mat cv::BOWTrainer::cluster()
[DllImport(LIBNAME)]
private static extern IntPtr features2d_BOWTrainer_cluster_10(IntPtr nativeObj);
// C++: Mat cv::BOWTrainer::cluster(Mat descriptors)
[DllImport(LIBNAME)]
private static extern IntPtr features2d_BOWTrainer_cluster_11(IntPtr nativeObj, IntPtr descriptors_nativeObj);
// native support for java finalize()
[DllImport(LIBNAME)]
private static extern void features2d_BOWTrainer_delete(IntPtr nativeObj);
}
}