/// <summary>
/// Sets a matrix header for the specified matrix row/column span.
/// </summary>
/// <param name="rowRange"></param>
/// <param name="colRange"></param>
/// <param name="value"></param>
/// <returns></returns>
public void Set(Range rowRange, Range colRange, MatExpr value)
{
this[rowRange, colRange] = value;
}
/// <summary>
/// Creates a matrix header for the specified row/column span.
/// </summary>
/// <param name="rowRange"></param>
/// <param name="colRange"></param>
/// <returns></returns>
public abstract MatExpr this[Range rowRange, Range colRange] { get; set; }
/// <summary>
/// 入力サンプルに対する応答を予測する
/// </summary>
/// <param name="sample">入力サンプル</param>
/// <param name="missing">データ欠損マスク（オプション）．データ欠損を扱うためには，弱い決定木が代理分岐を含まなければならない．</param>
/// <param name="slice">予測に用いられる弱い決定木シーケンスの連続的部分集合（スライス）．デフォルトでは，全ての弱い分類器が用いられる．</param>
/// <param name="rawMode">falseは通常の入力を意味する．true の場合，このメソッドは離散入力変数の全ての値があらかじめ， 0..<num_of_categories_i>-1 の範囲に正規化されていることを仮定する（決定木は内部的にはこのような正規化された表現を用いている）．これは決定木集合の高速な予測に役立つ．連続変数の入力変数に対しては，このフラグは利用されない．</param>
/// <param name="returnSum"></param>
/// <returns>重み付き投票に基づく出力クラスラベル</returns>
#else
/// <summary>
/// Predicts response for the input sample
/// </summary>
/// <param name="sample">The input sample. </param>
/// <param name="missing">The optional mask of missing measurements. To handle missing measurements, the weak classifiers must include surrogate splits. </param>
/// <param name="slice">The continuous subset of the sequence of weak classifiers to be used for prediction. By default, all the weak classifiers are used. </param>
/// <param name="rawMode">The last parameter is normally set to false that implies a regular input. If it is true, the method assumes that all the values of the discrete input variables have been already normalized to 0..<num_of_categoriesi>-1 ranges. (as the decision tree uses such normalized representation internally). It is useful for faster prediction with tree ensembles. For ordered input variables the flag is not used. </param>
/// <param name="returnSum"></param>
/// <returns>the output class label based on the weighted voting. </returns>
#endif
public float Predict(
Mat sample,
Mat missing = null,
Range? slice = null,
bool rawMode = false,
bool returnSum = false)
{
if (sample == null)
throw new ArgumentNullException("sample");
CvSlice slice0 = slice.GetValueOrDefault(CvSlice.WholeSeq);
return NativeMethods.ml_CvBoost_predict_Mat(
ptr,
sample.CvPtr,
Cv2.ToPtr(missing),
slice0,
rawMode ? 1 : 0,
returnSum ? 1 : 0);
}
/// <summary>
/// 指定された弱い決定木を削除する
/// </summary>
/// <param name="slice"></param>
#else
/// <summary>
/// Removes specified weak classifiers
/// </summary>
/// <param name="slice"></param>
#endif
public virtual void Prune(Range slice)
{
NativeMethods.ml_CvBoost_prune(ptr, slice);
}
/// <summary>
/// Creates/Sets a matrix header for the specified row/column span.
/// </summary>
/// <param name="range"></param>
/// <returns></returns>
public virtual Mat this[Range range]
{
get { return this[range.Start, range.End]; }
}
/// <summary>
/// Creates/Sets a matrix header for the specified row/column span.
/// </summary>
/// <param name="range"></param>
/// <returns></returns>
public virtual Mat this[Range range]
{
get { return(this[range.Start, range.End]); }
}
public static extern IntPtr core_Mat_new5(IntPtr mat, Range rowRange);
/// <summary>
///
/// </summary>
/// <param name="rowRange"></param>
/// <param name="colRange"></param>
/// <returns></returns>
public MatExpr SubMat(Range rowRange, Range colRange)
{
return SubMat(rowRange.Start, rowRange.End, colRange.Start, colRange.End);
}
/// <summary>
/// 他の行列の部分行列として初期化
/// </summary>
/// <param name="m">作成された行列に（全体的，部分的に）割り当てられる配列．
/// これらのコンストラクタによってデータがコピーされる事はありません．
/// 代わりに，データ m ，またはその部分配列を指し示すヘッダが作成され，
/// 関連した参照カウンタがあれば，それがインクリメントされます．
/// つまり，新しく作成された配列の内容を変更することで， m の対応する要素も
/// 変更することになります．もし部分配列の独立したコピーが必要ならば，
/// Mat.Clone() を利用してください．</param>
/// <param name="rowRange">扱われる 行列の行の範囲．すべての行を扱う場合は，Range.All を利用してください．</param>
/// <param name="colRange">扱われる 行列の列の範囲．すべての列を扱う場合は，Range.All を利用してください．</param>
#else
/// <summary>
/// creates a matrix header for a part of the bigger matrix
/// </summary>
/// <param name="m">Array that (as a whole or partly) is assigned to the constructed matrix.
/// No data is copied by these constructors. Instead, the header pointing to m data or its sub-array
/// is constructed and associated with it. The reference counter, if any, is incremented.
/// So, when you modify the matrix formed using such a constructor, you also modify the corresponding elements of m .
/// If you want to have an independent copy of the sub-array, use Mat::clone() .</param>
/// <param name="rowRange">Range of the m rows to take. As usual, the range start is inclusive and the range end is exclusive.
/// Use Range.All to take all the rows.</param>
/// <param name="colRange">Range of the m columns to take. Use Range.All to take all the columns.</param>
#endif
public MatOfDMatch(MatOfDMatch m, Range rowRange, Range?colRange = null)
: base(m, rowRange, colRange)
{
}
public static extern IntPtr core_Mat_new4(IntPtr mat, Range rowRange, Range colRange);
/// <summary>
/// 他の行列の部分行列として初期化
/// </summary>
/// <param name="m">作成された行列に（全体的，部分的に）割り当てられる配列．
/// これらのコンストラクタによってデータがコピーされる事はありません．
/// 代わりに，データ m ，またはその部分配列を指し示すヘッダが作成され，
/// 関連した参照カウンタがあれば，それがインクリメントされます．
/// つまり，新しく作成された配列の内容を変更することで， m の対応する要素も
/// 変更することになります．もし部分配列の独立したコピーが必要ならば，
/// Mat.Clone() を利用してください．</param>
/// <param name="rowRange">扱われる 行列の行の範囲．すべての行を扱う場合は，Range.All を利用してください．</param>
/// <param name="colRange">扱われる 行列の列の範囲．すべての列を扱う場合は，Range.All を利用してください．</param>
#else
/// <summary>
/// creates a matrix header for a part of the bigger matrix
/// </summary>
/// <param name="m">Array that (as a whole or partly) is assigned to the constructed matrix.
/// No data is copied by these constructors. Instead, the header pointing to m data or its sub-array
/// is constructed and associated with it. The reference counter, if any, is incremented.
/// So, when you modify the matrix formed using such a constructor, you also modify the corresponding elements of m .
/// If you want to have an independent copy of the sub-array, use Mat::clone() .</param>
/// <param name="rowRange">Range of the m rows to take. As usual, the range start is inclusive and the range end is exclusive.
/// Use Range.All to take all the rows.</param>
/// <param name="colRange">Range of the m columns to take. Use Range.All to take all the columns.</param>
#endif
public MatOfUShort(MatOfUShort m, Range rowRange, Range?colRange = null)
: base(m, rowRange, colRange)
{
}
/// <summary>
/// 他の行列の部分行列として初期化
/// </summary>
/// <param name="m">作成された行列に（全体的，部分的に）割り当てられる配列．
/// これらのコンストラクタによってデータがコピーされる事はありません．
/// 代わりに，データ m ，またはその部分配列を指し示すヘッダが作成され，
/// 関連した参照カウンタがあれば，それがインクリメントされます．
/// つまり，新しく作成された配列の内容を変更することで， m の対応する要素も
/// 変更することになります．もし部分配列の独立したコピーが必要ならば，
/// Mat.Clone() を利用してください．</param>
/// <param name="rowRange">扱われる 行列の行の範囲．すべての行を扱う場合は，Range.All を利用してください．</param>
/// <param name="colRange">扱われる 行列の列の範囲．すべての列を扱う場合は，Range.All を利用してください．</param>
#else
/// <summary>
/// creates a matrix header for a part of the bigger matrix
/// </summary>
/// <param name="m">Array that (as a whole or partly) is assigned to the constructed matrix.
/// No data is copied by these constructors. Instead, the header pointing to m data or its sub-array
/// is constructed and associated with it. The reference counter, if any, is incremented.
/// So, when you modify the matrix formed using such a constructor, you also modify the corresponding elements of m .
/// If you want to have an independent copy of the sub-array, use Mat::clone() .</param>
/// <param name="rowRange">Range of the m rows to take. As usual, the range start is inclusive and the range end is exclusive.
/// Use Range.All to take all the rows.</param>
/// <param name="colRange">Range of the m columns to take. Use Range.All to take all the columns.</param>
#endif
public MatOfInt4(MatOfInt4 m, Range rowRange, Range?colRange = null)
: base(m, rowRange, colRange)
{
}
/// <summary>
/// Creates a matrix header for the specified row/column span.
/// </summary>
/// <param name="range"></param>
/// <returns></returns>
public virtual Mat Get(Range range)
{
return(this[range]);
}
/// <summary>
/// Creates a matrix header for the specified row/column span.
/// </summary>
/// <param name="rowRange"></param>
/// <param name="colRange"></param>
/// <returns></returns>
public MatExpr Get(Range rowRange, Range colRange)
{
return this[rowRange, colRange];
}
/// <summary>
/// Sets a matrix header for the specified matrix row/column span.
/// </summary>
/// <param name="range"></param>
/// <param name="value"></param>
/// <returns></returns>
public void Set(Range range, MatExpr value)
{
this[range] = value;
}
/// <summary>
///
/// </summary>
/// <param name="rowRange"></param>
/// <param name="colRange"></param>
/// <returns></returns>
public MatExpr this[Range rowRange, Range colRange]
{
get
{
return SubMat(rowRange, colRange);
}
set
{
if (value == null)
throw new ArgumentNullException("value");
MatExpr subMatExpr = SubMat(rowRange, colRange);
NativeMethods.core_Mat_assignment_FromMatExpr(subMatExpr.CvPtr, value.CvPtr);
}
}
/// <summary>
/// Creates a matrix header for the specified row/column span.
/// </summary>
/// <param name="range"></param>
/// <returns></returns>
public virtual MatExpr this[Range range]
{
get { return this[range.Start, range.End]; }
set { this[range.Start, range.End] = value; }
}
/// <summary>
/// Creates/Sets a matrix header for the specified row/column span.
/// </summary>
/// <param name="range"></param>
/// <param name="value"></param>
public virtual void Set(Range range, Mat value)
{
this[range.Start, range.End] = value;
}
/// <summary>
/// Creates a matrix header for the specified row/column span.
/// </summary>
/// <param name="range"></param>
/// <returns></returns>
public MatExpr Get(Range range)
{
return this[range];
}
/// <summary>
/// Creates a matrix header for the specified row/column span.
/// </summary>
/// <param name="range"></param>
/// <returns></returns>
public virtual Mat Get(Range range)
{
return this[range];
}
/// <summary>
/// Creates/Sets a matrix header for the specified row/column span.
/// </summary>
/// <param name="range"></param>
/// <param name="value"></param>
public virtual void Set(Range range, Mat value)
{
this[range.Start, range.End] = value;
}
