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Boring changes - ml.
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@ -2148,7 +2148,7 @@ typedef CvANN_MLP NeuralNet_MLP;
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typedef CvGBTreesParams GradientBoostingTreeParams;
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typedef CvGBTreesParams GradientBoostingTreeParams;
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typedef CvGBTrees GradientBoostingTrees;
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typedef CvGBTrees GradientBoostingTrees;
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template<> CV_EXPORTS void Ptr<CvDTreeSplit>::delete_obj();
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template<> CV_EXPORTS void DefaultDeleter<CvDTreeSplit>::operator ()(CvDTreeSplit* obj) const;
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CV_EXPORTS bool initModule_ml(void);
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CV_EXPORTS bool initModule_ml(void);
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}
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}
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@ -126,7 +126,7 @@ void ForestTreeBestSplitFinder::operator()(const BlockedRange& range)
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}
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}
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if( res && bestSplit->quality < split->quality )
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if( res && bestSplit->quality < split->quality )
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memcpy( (CvDTreeSplit*)bestSplit, (CvDTreeSplit*)split, splitSize );
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memcpy( bestSplit.get(), split.get(), splitSize );
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}
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}
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}
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}
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}
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}
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@ -1882,7 +1882,7 @@ double CvDTree::calc_node_dir( CvDTreeNode* node )
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namespace cv
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namespace cv
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{
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{
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template<> CV_EXPORTS void Ptr<CvDTreeSplit>::delete_obj()
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template<> CV_EXPORTS void DefaultDeleter<CvDTreeSplit>::operator ()(CvDTreeSplit* obj) const
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{
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{
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fastFree(obj);
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fastFree(obj);
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}
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}
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@ -1893,12 +1893,12 @@ DTreeBestSplitFinder::DTreeBestSplitFinder( CvDTree* _tree, CvDTreeNode* _node)
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node = _node;
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node = _node;
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splitSize = tree->get_data()->split_heap->elem_size;
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splitSize = tree->get_data()->split_heap->elem_size;
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bestSplit = (CvDTreeSplit*)fastMalloc(splitSize);
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bestSplit.reset((CvDTreeSplit*)fastMalloc(splitSize));
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memset((CvDTreeSplit*)bestSplit, 0, splitSize);
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memset(bestSplit.get(), 0, splitSize);
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bestSplit->quality = -1;
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bestSplit->quality = -1;
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bestSplit->condensed_idx = INT_MIN;
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bestSplit->condensed_idx = INT_MIN;
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split = (CvDTreeSplit*)fastMalloc(splitSize);
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split.reset((CvDTreeSplit*)fastMalloc(splitSize));
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memset((CvDTreeSplit*)split, 0, splitSize);
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memset(split.get(), 0, splitSize);
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//haveSplit = false;
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//haveSplit = false;
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}
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}
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@ -1908,10 +1908,10 @@ DTreeBestSplitFinder::DTreeBestSplitFinder( const DTreeBestSplitFinder& finder,
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node = finder.node;
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node = finder.node;
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splitSize = tree->get_data()->split_heap->elem_size;
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splitSize = tree->get_data()->split_heap->elem_size;
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bestSplit = (CvDTreeSplit*)fastMalloc(splitSize);
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bestSplit.reset((CvDTreeSplit*)fastMalloc(splitSize));
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memcpy((CvDTreeSplit*)(bestSplit), (const CvDTreeSplit*)finder.bestSplit, splitSize);
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memcpy(bestSplit.get(), finder.bestSplit.get(), splitSize);
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split = (CvDTreeSplit*)fastMalloc(splitSize);
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split.reset((CvDTreeSplit*)fastMalloc(splitSize));
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memset((CvDTreeSplit*)split, 0, splitSize);
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memset(split.get(), 0, splitSize);
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}
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}
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void DTreeBestSplitFinder::operator()(const BlockedRange& range)
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void DTreeBestSplitFinder::operator()(const BlockedRange& range)
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@ -1944,14 +1944,14 @@ void DTreeBestSplitFinder::operator()(const BlockedRange& range)
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}
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}
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if( res && bestSplit->quality < split->quality )
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if( res && bestSplit->quality < split->quality )
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memcpy( (CvDTreeSplit*)bestSplit, (CvDTreeSplit*)split, splitSize );
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memcpy( bestSplit.get(), split.get(), splitSize );
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}
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}
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}
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}
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void DTreeBestSplitFinder::join( DTreeBestSplitFinder& rhs )
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void DTreeBestSplitFinder::join( DTreeBestSplitFinder& rhs )
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{
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{
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if( bestSplit->quality < rhs.bestSplit->quality )
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if( bestSplit->quality < rhs.bestSplit->quality )
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memcpy( (CvDTreeSplit*)bestSplit, (CvDTreeSplit*)rhs.bestSplit, splitSize );
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memcpy( bestSplit.get(), rhs.bestSplit.get(), splitSize );
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}
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}
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}
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}
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