X-Git-Url: http://git.maemo.org/git/?p=opencv;a=blobdiff_plain;f=3rdparty%2Finclude%2Fflann%2Fmatrix.h;fp=3rdparty%2Finclude%2Fflann%2Fmatrix.h;h=2af0a149077044b1fd3ab579148ffd88fae1ec7a;hp=0000000000000000000000000000000000000000;hb=e4c14cdbdf2fe805e79cd96ded236f57e7b89060;hpb=454138ff8a20f6edb9b65a910101403d8b520643

diff --git a/3rdparty/include/flann/matrix.h b/3rdparty/include/flann/matrix.h
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+/***********************************************************************
+ * Software License Agreement (BSD License)
+ *
+ * Copyright 2008-2009  Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
+ * Copyright 2008-2009  David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
+ *
+ * THE BSD LICENSE
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions
+ * are met:
+ *
+ * 1. Redistributions of source code must retain the above copyright
+ *    notice, this list of conditions and the following disclaimer.
+ * 2. Redistributions in binary form must reproduce the above copyright
+ *    notice, this list of conditions and the following disclaimer in the
+ *    documentation and/or other materials provided with the distribution.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
+ * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
+ * OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
+ * IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
+ * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
+ * NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+ * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+ * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
+ * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ *************************************************************************/
+
+#ifndef DATASET_H
+#define DATASET_H
+
+#include <stdio.h>
+#include "random.h"
+
+
+namespace flann
+{
+/**
+* Class implementing a generic rectangular dataset.
+*/
+template <typename T>
+class Matrix {
+
+    /**
+    * Flag showing if the class owns its data storage.
+    */
+    bool ownData;
+
+    void shallow_copy(const Matrix& rhs)
+    {
+        data = rhs.data;
+        rows = rhs.rows;
+        cols = rhs.cols;
+        ownData = false;
+    }
+
+public:
+    long rows;
+    long cols;
+    T* data;
+
+
+    Matrix(long rows_, long cols_, T* data_ = NULL) :
+    	 ownData(false), rows(rows_), cols(cols_), data(data_)
+	{
+        if (data_==NULL) {
+		    data = new T[rows*cols];
+            ownData = true;
+        }
+	}
+
+    Matrix(const Matrix& d)
+    {
+        shallow_copy(d);
+    }
+
+    const Matrix& operator=(const Matrix& rhs)
+    {
+        if (this!=&rhs) {
+            shallow_copy(rhs);
+        }
+        return *this;
+    }
+
+	~Matrix()
+	{
+        if (ownData) {
+		  delete[] data;
+        }
+	}
+
+    /**
+    * Operator that return a (pointer to a) row of the data.
+    */
+    T* operator[](long index)
+    {
+        return data+index*cols;
+    }
+
+    T* operator[](long index) const
+    {
+        return data+index*cols;
+    }
+
+
+
+    Matrix<T>* sample(long size, bool remove = false)
+    {
+        UniqueRandom rand(rows);
+        Matrix<T> *newSet = new Matrix<T>(size,cols);
+
+        T *src,*dest;
+        for (long i=0;i<size;++i) {
+            long r = rand.next();
+            dest = (*newSet)[i];
+            src = (*this)[r];
+            for (long j=0;j<cols;++j) {
+                dest[j] = src[j];
+            }
+            if (remove) {
+                dest = (*this)[rows-i-1];
+                src = (*this)[r];
+                for (long j=0;j<cols;++j) {
+                    swap(*src,*dest);
+                    src++;
+                    dest++;
+                }
+            }
+        }
+
+        if (remove) {
+            rows -= size;
+        }
+
+        return newSet;
+    }
+
+    Matrix<T>* sample(long size) const
+    {
+        UniqueRandom rand(rows);
+        Matrix<T> *newSet = new Matrix<T>(size,cols);
+
+        T *src,*dest;
+        for (long i=0;i<size;++i) {
+            long r = rand.next();
+            dest = (*newSet)[i];
+            src = (*this)[r];
+            for (long j=0;j<cols;++j) {
+                dest[j] = src[j];
+            }
+        }
+
+        return newSet;
+    }
+
+};
+
+
+}
+
+#endif //DATASET_H