"atomic bomb" commit. Reorganized OpenCV directory structure

2010-05-11 17:44:00 +00:00
commit 127d6649a1
1761 changed files with 1766340 additions and 0 deletions
--- a/3rdparty/flann/algorithms/linear_index.h
+++ b/3rdparty/flann/algorithms/linear_index.h
@@ -0,0 +1,105 @@
+/***********************************************************************
+ * 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 LINEARSEARCH_H
+#define LINEARSEARCH_H
+
+#include "constants.h"
+#include "nn_index.h"
+
+namespace flann
+{
+
+class LinearIndex : public NNIndex {
+
+	const Matrix<float> dataset;
+
+public:
+
+	LinearIndex(const Matrix<float>& inputData, const LinearIndexParams& params = LinearIndexParams() ) : dataset(inputData)
+	{
+	}
+
+    flann_algorithm_t getType() const
+    {
+        return LINEAR;
+    }
+
+
+	int size() const
+	{
+		return dataset.rows;
+	}
+
+	int veclen() const
+	{
+		return dataset.cols;
+	}
+
+
+	int usedMemory() const
+	{
+		return 0;
+	}
+
+	void buildIndex()
+	{
+		/* nothing to do here for linear search */
+	}
+
+    void saveIndex(FILE* /*stream*/)
+    {
+		/* nothing to do here for linear search */
+    }
+
+
+    void loadIndex(FILE* /*stream*/)
+    {
+		/* nothing to do here for linear search */
+    }
+
+	void findNeighbors(ResultSet& resultSet, const float* /*vec*/, const SearchParams& /*searchParams*/)
+	{
+		for (int i=0;i<dataset.rows;++i) {
+			resultSet.addPoint(dataset[i],i);
+		}
+	}
+
+//    Params estimateSearchParams(float precision, Matrix<float>* testset = NULL)
+//    {
+//        Params params;
+//        return params;
+//    }
+
+};
+
+}
+
+#endif // LINEARSEARCH_H