Update to 2.0.0 tree from current Fremantle build
[opencv] / 3rdparty / flann / algorithms / composite_index.h
diff --git a/3rdparty/flann/algorithms/composite_index.h b/3rdparty/flann/algorithms/composite_index.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 COMPOSITETREE_H
+#define COMPOSITETREE_H
+
+#include "constants.h"
+#include "nn_index.h"
+
+namespace flann
+{
+
+class CompositeIndex : public NNIndex
+{
+       KMeansIndex* kmeans;
+       KDTreeIndex* kdtree;
+
+    const Matrix<float> dataset;
+
+
+public:
+
+       CompositeIndex(const Matrix<float>& inputData, const CompositeIndexParams& params = CompositeIndexParams() ) : dataset(inputData)
+       {
+               KDTreeIndexParams kdtree_params(params.trees);
+               KMeansIndexParams kmeans_params(params.branching, params.iterations, params.centers_init, params.cb_index);
+
+               kdtree = new KDTreeIndex(inputData,kdtree_params);
+               kmeans = new KMeansIndex(inputData,kmeans_params);
+
+       }
+
+       virtual ~CompositeIndex()
+       {
+               delete kdtree;
+               delete kmeans;
+       }
+
+
+    flann_algorithm_t getType() const
+    {
+        return COMPOSITE;
+    }
+
+
+       int size() const
+       {
+               return dataset.rows;
+       }
+
+       int veclen() const
+       {
+               return dataset.cols;
+       }
+
+
+       int usedMemory() const
+       {
+               return kmeans->usedMemory()+kdtree->usedMemory();
+       }
+
+       void buildIndex()
+       {
+               logger.info("Building kmeans tree...\n");
+               kmeans->buildIndex();
+               logger.info("Building kdtree tree...\n");
+               kdtree->buildIndex();
+       }
+
+
+    void saveIndex(FILE* /*stream*/)
+    {
+
+    }
+
+
+    void loadIndex(FILE* /*stream*/)
+    {
+
+    }
+
+       void findNeighbors(ResultSet& result, const float* vec, const SearchParams& searchParams)
+       {
+               kmeans->findNeighbors(result,vec,searchParams);
+               kdtree->findNeighbors(result,vec,searchParams);
+       }
+
+
+//    Params estimateSearchParams(float precision, Dataset<float>* testset = NULL)
+//    {
+//        Params params;
+//
+//        return params;
+//    }
+
+
+};
+
+}
+
+#endif //COMPOSITETREE_H