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/*M///////////////////////////////////////////////////////////////////////////////////////
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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// For Open Source Computer Vision Library
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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#ifndef __OPENCV_CUDEV_EXPR_PER_ELEMENT_FUNC_HPP__
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#define __OPENCV_CUDEV_EXPR_PER_ELEMENT_FUNC_HPP__
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#include "../common.hpp"
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#include "../util/type_traits.hpp"
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#include "../ptr2d/traits.hpp"
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#include "../ptr2d/transform.hpp"
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#include "../ptr2d/lut.hpp"
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#include "../functional/functional.hpp"
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namespace cv { namespace cudev {
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template <class SrcPtr1, class SrcPtr2>
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__host__ Expr<BinaryTransformPtrSz<typename PtrTraits<SrcPtr1>::ptr_type, typename PtrTraits<SrcPtr2>::ptr_type, minimum<typename LargerType<typename PtrTraits<SrcPtr1>::value_type, typename PtrTraits<SrcPtr2>::value_type>::type> > >
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min_(const SrcPtr1& src1, const SrcPtr2& src2)
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return makeExpr(transformPtr(src1, src2, minimum<typename LargerType<typename PtrTraits<SrcPtr1>::value_type, typename PtrTraits<SrcPtr2>::value_type>::type>()));
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template <class SrcPtr1, class SrcPtr2>
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__host__ Expr<BinaryTransformPtrSz<typename PtrTraits<SrcPtr1>::ptr_type, typename PtrTraits<SrcPtr2>::ptr_type, maximum<typename LargerType<typename PtrTraits<SrcPtr1>::value_type, typename PtrTraits<SrcPtr2>::value_type>::type> > >
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max_(const SrcPtr1& src1, const SrcPtr2& src2)
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return makeExpr(transformPtr(src1, src2, maximum<typename LargerType<typename PtrTraits<SrcPtr1>::value_type, typename PtrTraits<SrcPtr2>::value_type>::type>()));
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template <class SrcPtr>
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__host__ Expr<UnaryTransformPtrSz<typename PtrTraits<SrcPtr>::ptr_type, ThreshBinaryFunc<typename PtrTraits<SrcPtr>::value_type> > >
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threshBinary_(const SrcPtr& src, typename PtrTraits<SrcPtr>::value_type thresh, typename PtrTraits<SrcPtr>::value_type maxVal)
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return makeExpr(transformPtr(src, thresh_binary_func(thresh, maxVal)));
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template <class SrcPtr>
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__host__ Expr<UnaryTransformPtrSz<typename PtrTraits<SrcPtr>::ptr_type, ThreshBinaryInvFunc<typename PtrTraits<SrcPtr>::value_type> > >
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threshBinaryInv_(const SrcPtr& src, typename PtrTraits<SrcPtr>::value_type thresh, typename PtrTraits<SrcPtr>::value_type maxVal)
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return makeExpr(transformPtr(src, thresh_binary_inv_func(thresh, maxVal)));
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template <class SrcPtr>
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__host__ Expr<UnaryTransformPtrSz<typename PtrTraits<SrcPtr>::ptr_type, ThreshTruncFunc<typename PtrTraits<SrcPtr>::value_type> > >
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threshTrunc_(const SrcPtr& src, typename PtrTraits<SrcPtr>::value_type thresh)
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return makeExpr(transformPtr(src, thresh_trunc_func(thresh)));
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template <class SrcPtr>
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__host__ Expr<UnaryTransformPtrSz<typename PtrTraits<SrcPtr>::ptr_type, ThreshToZeroFunc<typename PtrTraits<SrcPtr>::value_type> > >
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threshToZero_(const SrcPtr& src, typename PtrTraits<SrcPtr>::value_type thresh)
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return makeExpr(transformPtr(src, thresh_to_zero_func(thresh)));
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template <class SrcPtr>
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__host__ Expr<UnaryTransformPtrSz<typename PtrTraits<SrcPtr>::ptr_type, ThreshToZeroInvFunc<typename PtrTraits<SrcPtr>::value_type> > >
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threshToZeroInv_(const SrcPtr& src, typename PtrTraits<SrcPtr>::value_type thresh)
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return makeExpr(transformPtr(src, thresh_to_zero_inv_func(thresh)));
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template <typename D, class SrcPtr>
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__host__ Expr<UnaryTransformPtrSz<typename PtrTraits<SrcPtr>::ptr_type, saturate_cast_func<typename PtrTraits<SrcPtr>::value_type, D> > >
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cvt_(const SrcPtr& src)
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return makeExpr(transformPtr(src, saturate_cast_func<typename PtrTraits<SrcPtr>::value_type, D>()));
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template <class SrcPtr, class TablePtr>
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__host__ Expr<LutPtrSz<typename PtrTraits<SrcPtr>::ptr_type, typename PtrTraits<TablePtr>::ptr_type> >
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lut_(const SrcPtr& src, const TablePtr& tbl)
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return makeExpr(lutPtr(src, tbl));