/// <summary>
/// 与えられたデータセットの最近傍探索インデックスを作成します．
/// </summary>
/// <param name="features">インデックス作成対象となる特徴（点）が格納された， CV_32F 型の行列．この行列のサイズは matrix is num _ features x feature _ dimensionality となります</param>
/// <param name="params">params – インデックスパラメータを含む構造体．作成されるインデックスの種類は，このパラメータの種類に依存します</param>
/// <param name="distType"></param>
#else
/// <summary>
/// Constructs a nearest neighbor search index for a given dataset.
/// </summary>
/// <param name="features">features – Matrix of type CV _ 32F containing the features(points) to index. The size of the matrix is num _ features x feature _ dimensionality.</param>
/// <param name="params">Structure containing the index parameters. The type of index that will be constructed depends on the type of this parameter. </param>
/// <param name="distType"></param>
#endif
public Index(InputArray features, IndexParams @params, FlannDistance distType = FlannDistance.L2)
{
if (features == null)
throw new ArgumentNullException("features");
if (@params == null)
throw new ArgumentNullException("params");
ptr = NativeMethods.flann_Index_new(features.CvPtr, @params.CvPtr, (int)distType);
if (ptr == IntPtr.Zero)
throw new OpenCvSharpException("Failed to create Index");
}
/// <summary>
/// 与えられたデータセットの最近傍探索インデックスを作成します．
/// </summary>
/// <param name="features">インデックス作成対象となる特徴（点）が格納された， CV_32F 型の行列．この行列のサイズは matrix is num _ features x feature _ dimensionality となります</param>
/// <param name="params">params – インデックスパラメータを含む構造体．作成されるインデックスの種類は，このパラメータの種類に依存します</param>
#else
/// <summary>
/// Constructs a nearest neighbor search index for a given dataset.
/// </summary>
/// <param name="features">features – Matrix of type CV _ 32F containing the features(points) to index. The size of the matrix is num _ features x feature _ dimensionality.</param>
/// <param name="params">Structure containing the index parameters. The type of index that will be constructed depends on the type of this parameter. </param>
#endif
public Index(Mat features, IndexParams @params)
{
if (features == null)
throw new ArgumentNullException("features");
if (@params == null)
throw new ArgumentNullException("params");
ptr = FlannInvoke.flann_Index_construct(features.CvPtr, @params.CvPtr);
if (ptr == IntPtr.Zero)
throw new OpenCvSharpException("Failed to create Index");
}
/// <summary>
/// 与えられたデータセットの最近傍探索インデックスを作成します．
/// </summary>
/// <param name="features">インデックス作成対象となる特徴（点）が格納された， CV_32F 型の行列．この行列のサイズは matrix is num _ features x feature _ dimensionality となります</param>
/// <param name="params">params – インデックスパラメータを含む構造体．作成されるインデックスの種類は，このパラメータの種類に依存します</param>
/// <param name="distType"></param>
#else
/// <summary>
/// Constructs a nearest neighbor search index for a given dataset.
/// </summary>
/// <param name="features">features – Matrix of type CV _ 32F containing the features(points) to index. The size of the matrix is num _ features x feature _ dimensionality.</param>
/// <param name="params">Structure containing the index parameters. The type of index that will be constructed depends on the type of this parameter. </param>
/// <param name="distType"></param>
#endif
public Index(InputArray features, IndexParams @params, FlannDistance distType = FlannDistance.L2)
{
if (features == null)
{
throw new ArgumentNullException(nameof(features));
}
if (@params == null)
{
throw new ArgumentNullException(nameof(@params));
}
ptr = NativeMethods.flann_Index_new(features.CvPtr, @params.CvPtr, (int)distType);
if (ptr == IntPtr.Zero)
{
throw new OpenCvSharpException("Failed to create Index");
}
}
