2010-09-09 23:34:16 +08:00
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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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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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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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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// Third party copyrights are property of their respective owners.
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//
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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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//
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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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//
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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 GpuMaterials provided with the distribution.
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//
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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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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or bpied warranties, including, but not limited to, the bpied
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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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//
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//M*/
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#include "precomp.hpp"
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using namespace cv;
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using namespace cv::gpu;
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using namespace std;
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#if !defined (HAVE_CUDA)
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2010-09-15 20:47:59 +08:00
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void cv::gpu::add(const GpuMat&, const GpuMat&, GpuMat&) { throw_nogpu(); }
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2010-09-27 20:44:57 +08:00
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void cv::gpu::add(const GpuMat&, const Scalar&, GpuMat&) { throw_nogpu(); }
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2010-09-15 20:47:59 +08:00
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void cv::gpu::subtract(const GpuMat&, const GpuMat&, GpuMat&) { throw_nogpu(); }
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2010-09-27 20:44:57 +08:00
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void cv::gpu::subtract(const GpuMat&, const Scalar&, GpuMat&) { throw_nogpu(); }
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2010-09-15 20:47:59 +08:00
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void cv::gpu::multiply(const GpuMat&, const GpuMat&, GpuMat&) { throw_nogpu(); }
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2010-09-27 20:44:57 +08:00
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void cv::gpu::multiply(const GpuMat&, const Scalar&, GpuMat&) { throw_nogpu(); }
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2010-09-15 20:47:59 +08:00
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void cv::gpu::divide(const GpuMat&, const GpuMat&, GpuMat&) { throw_nogpu(); }
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2010-09-27 20:44:57 +08:00
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void cv::gpu::divide(const GpuMat&, const Scalar&, GpuMat&) { throw_nogpu(); }
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2010-09-15 20:47:59 +08:00
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void cv::gpu::transpose(const GpuMat&, GpuMat&) { throw_nogpu(); }
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void cv::gpu::absdiff(const GpuMat&, const GpuMat&, GpuMat&) { throw_nogpu(); }
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2010-09-27 20:44:57 +08:00
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void cv::gpu::absdiff(const GpuMat&, const Scalar&, GpuMat&) { throw_nogpu(); }
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2010-09-15 20:47:59 +08:00
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void cv::gpu::compare(const GpuMat&, const GpuMat&, GpuMat&, int) { throw_nogpu(); }
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void cv::gpu::meanStdDev(const GpuMat&, Scalar&, Scalar&) { throw_nogpu(); }
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double cv::gpu::norm(const GpuMat&, int) { throw_nogpu(); return 0.0; }
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double cv::gpu::norm(const GpuMat&, const GpuMat&, int) { throw_nogpu(); return 0.0; }
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void cv::gpu::flip(const GpuMat&, GpuMat&, int) { throw_nogpu(); }
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Scalar cv::gpu::sum(const GpuMat&) { throw_nogpu(); return Scalar(); }
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void cv::gpu::minMax(const GpuMat&, double*, double*) { throw_nogpu(); }
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2010-11-25 19:52:15 +08:00
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void cv::gpu::minMax(const GpuMat&, double*, double*, GpuMat&) { throw_nogpu(); }
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2010-11-24 19:40:14 +08:00
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void cv::gpu::minMaxLoc(const GpuMat&, double*, double*, Point*, Point*) { throw_nogpu(); }
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2010-11-26 15:50:11 +08:00
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void cv::gpu::minMaxLoc(const GpuMat&, double*, double*, Point*, Point*, GpuMat&, GpuMat&) { throw_nogpu(); }
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2010-11-27 01:12:48 +08:00
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int cv::gpu::countNonZero(const GpuMat&) { throw_nogpu(); return 0; }
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int cv::gpu::countNonZero(const GpuMat&, GpuMat&) { throw_nogpu(); return 0; }
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2010-09-27 20:44:57 +08:00
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void cv::gpu::LUT(const GpuMat&, const Mat&, GpuMat&) { throw_nogpu(); }
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void cv::gpu::exp(const GpuMat&, GpuMat&) { throw_nogpu(); }
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void cv::gpu::log(const GpuMat&, GpuMat&) { throw_nogpu(); }
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2010-09-27 22:10:19 +08:00
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void cv::gpu::magnitude(const GpuMat&, GpuMat&) { throw_nogpu(); }
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2010-10-13 20:52:39 +08:00
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void cv::gpu::magnitudeSqr(const GpuMat&, GpuMat&) { throw_nogpu(); }
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2010-10-18 19:12:14 +08:00
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void cv::gpu::magnitude(const GpuMat&, const GpuMat&, GpuMat&) { throw_nogpu(); }
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void cv::gpu::magnitude(const GpuMat&, const GpuMat&, GpuMat&, const Stream&) { throw_nogpu(); }
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void cv::gpu::magnitudeSqr(const GpuMat&, const GpuMat&, GpuMat&) { throw_nogpu(); }
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void cv::gpu::magnitudeSqr(const GpuMat&, const GpuMat&, GpuMat&, const Stream&) { throw_nogpu(); }
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void cv::gpu::phase(const GpuMat&, const GpuMat&, GpuMat&, bool) { throw_nogpu(); }
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void cv::gpu::phase(const GpuMat&, const GpuMat&, GpuMat&, bool, const Stream&) { throw_nogpu(); }
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void cv::gpu::cartToPolar(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, bool) { throw_nogpu(); }
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void cv::gpu::cartToPolar(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, bool, const Stream&) { throw_nogpu(); }
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void cv::gpu::polarToCart(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, bool) { throw_nogpu(); }
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void cv::gpu::polarToCart(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, bool, const Stream&) { throw_nogpu(); }
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2010-11-22 17:39:34 +08:00
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void cv::gpu::bitwise_not(const GpuMat&, GpuMat&, const GpuMat&) { throw_nogpu(); }
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void cv::gpu::bitwise_not(const GpuMat&, GpuMat&, const GpuMat&, const Stream&) { throw_nogpu(); }
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void cv::gpu::bitwise_or(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&) { throw_nogpu(); }
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void cv::gpu::bitwise_or(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&, const Stream&) { throw_nogpu(); }
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void cv::gpu::bitwise_and(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&) { throw_nogpu(); }
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void cv::gpu::bitwise_and(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&, const Stream&) { throw_nogpu(); }
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void cv::gpu::bitwise_xor(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&) { throw_nogpu(); }
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void cv::gpu::bitwise_xor(const GpuMat&, const GpuMat&, GpuMat&, const GpuMat&, const Stream&) { throw_nogpu(); }
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2010-11-19 18:19:35 +08:00
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cv::gpu::GpuMat cv::gpu::operator ~ (const GpuMat&) { throw_nogpu(); return GpuMat(); }
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cv::gpu::GpuMat cv::gpu::operator | (const GpuMat&, const GpuMat&) { throw_nogpu(); return GpuMat(); }
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cv::gpu::GpuMat cv::gpu::operator & (const GpuMat&, const GpuMat&) { throw_nogpu(); return GpuMat(); }
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cv::gpu::GpuMat cv::gpu::operator ^ (const GpuMat&, const GpuMat&) { throw_nogpu(); return GpuMat(); }
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2010-09-15 16:26:18 +08:00
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2010-09-09 23:34:16 +08:00
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#else /* !defined (HAVE_CUDA) */
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2010-09-22 18:58:01 +08:00
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////////////////////////////////////////////////////////////////////////
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// add subtract multiply divide
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2010-09-13 22:30:09 +08:00
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namespace
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2010-09-20 18:34:46 +08:00
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{
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2010-11-08 17:55:10 +08:00
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typedef NppStatus (*npp_arithm_8u_t)(const Npp8u* pSrc1, int nSrc1Step, const Npp8u* pSrc2, int nSrc2Step, Npp8u* pDst, int nDstStep,
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NppiSize oSizeROI, int nScaleFactor);
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typedef NppStatus (*npp_arithm_32s_t)(const Npp32s* pSrc1, int nSrc1Step, const Npp32s* pSrc2, int nSrc2Step, Npp32s* pDst,
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int nDstStep, NppiSize oSizeROI);
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typedef NppStatus (*npp_arithm_32f_t)(const Npp32f* pSrc1, int nSrc1Step, const Npp32f* pSrc2, int nSrc2Step, Npp32f* pDst,
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int nDstStep, NppiSize oSizeROI);
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2010-09-13 22:30:09 +08:00
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2010-11-08 17:55:10 +08:00
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void nppArithmCaller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst,
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npp_arithm_8u_t npp_func_8uc1, npp_arithm_8u_t npp_func_8uc4,
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2010-09-27 20:44:57 +08:00
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npp_arithm_32s_t npp_func_32sc1, npp_arithm_32f_t npp_func_32fc1)
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2010-11-08 17:55:10 +08:00
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{
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2010-09-13 22:30:09 +08:00
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CV_DbgAssert(src1.size() == src2.size() && src1.type() == src2.type());
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2010-09-27 20:44:57 +08:00
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CV_Assert(src1.type() == CV_8UC1 || src1.type() == CV_8UC4 || src1.type() == CV_32SC1 || src1.type() == CV_32FC1);
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2010-09-13 22:30:09 +08:00
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dst.create( src1.size(), src1.type() );
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2010-11-08 17:55:10 +08:00
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NppiSize sz;
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sz.width = src1.cols;
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sz.height = src1.rows;
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2010-09-13 22:30:09 +08:00
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2010-09-20 18:34:46 +08:00
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switch (src1.type())
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{
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case CV_8UC1:
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2010-11-08 17:55:10 +08:00
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nppSafeCall( npp_func_8uc1(src1.ptr<Npp8u>(), src1.step,
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src2.ptr<Npp8u>(), src2.step,
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dst.ptr<Npp8u>(), dst.step, sz, 0) );
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2010-09-20 18:34:46 +08:00
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break;
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case CV_8UC4:
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2010-11-08 17:55:10 +08:00
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nppSafeCall( npp_func_8uc4(src1.ptr<Npp8u>(), src1.step,
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src2.ptr<Npp8u>(), src2.step,
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dst.ptr<Npp8u>(), dst.step, sz, 0) );
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2010-09-20 18:34:46 +08:00
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break;
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2010-09-27 20:44:57 +08:00
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case CV_32SC1:
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2010-11-08 17:55:10 +08:00
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nppSafeCall( npp_func_32sc1(src1.ptr<Npp32s>(), src1.step,
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src2.ptr<Npp32s>(), src2.step,
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dst.ptr<Npp32s>(), dst.step, sz) );
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2010-09-27 20:44:57 +08:00
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break;
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2010-09-20 18:34:46 +08:00
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case CV_32FC1:
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2010-11-08 17:55:10 +08:00
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nppSafeCall( npp_func_32fc1(src1.ptr<Npp32f>(), src1.step,
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src2.ptr<Npp32f>(), src2.step,
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dst.ptr<Npp32f>(), dst.step, sz) );
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2010-09-20 18:34:46 +08:00
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break;
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default:
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CV_Assert(!"Unsupported source type");
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}
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2010-11-08 17:55:10 +08:00
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}
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2010-09-27 20:44:57 +08:00
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2010-10-13 20:52:39 +08:00
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template<int SCN> struct NppArithmScalarFunc;
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template<> struct NppArithmScalarFunc<1>
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{
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2010-11-08 17:55:10 +08:00
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typedef NppStatus (*func_ptr)(const Npp32f *pSrc, int nSrcStep, Npp32f nValue, Npp32f *pDst,
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2010-10-13 20:52:39 +08:00
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int nDstStep, NppiSize oSizeROI);
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};
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template<> struct NppArithmScalarFunc<2>
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2010-11-08 17:55:10 +08:00
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{
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2010-10-13 20:52:39 +08:00
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typedef NppStatus (*func_ptr)(const Npp32fc *pSrc, int nSrcStep, Npp32fc nValue, Npp32fc *pDst,
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int nDstStep, NppiSize oSizeROI);
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};
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2010-09-27 20:44:57 +08:00
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2010-10-13 20:52:39 +08:00
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template<int SCN, typename NppArithmScalarFunc<SCN>::func_ptr func> struct NppArithmScalar;
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template<typename NppArithmScalarFunc<1>::func_ptr func> struct NppArithmScalar<1, func>
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{
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static void calc(const GpuMat& src, const Scalar& sc, GpuMat& dst)
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2010-11-08 17:55:10 +08:00
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{
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2010-10-13 20:52:39 +08:00
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dst.create(src.size(), src.type());
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2010-09-27 20:44:57 +08:00
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2010-11-08 17:55:10 +08:00
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NppiSize sz;
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sz.width = src.cols;
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sz.height = src.rows;
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2010-09-27 20:44:57 +08:00
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2010-11-08 17:55:10 +08:00
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nppSafeCall( func(src.ptr<Npp32f>(), src.step, (Npp32f)sc[0], dst.ptr<Npp32f>(), dst.step, sz) );
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}
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2010-10-13 20:52:39 +08:00
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};
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template<typename NppArithmScalarFunc<2>::func_ptr func> struct NppArithmScalar<2, func>
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{
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static void calc(const GpuMat& src, const Scalar& sc, GpuMat& dst)
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2010-11-08 17:55:10 +08:00
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{
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2010-10-13 20:52:39 +08:00
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dst.create(src.size(), src.type());
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2010-09-27 20:44:57 +08:00
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2010-11-08 17:55:10 +08:00
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NppiSize sz;
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sz.width = src.cols;
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sz.height = src.rows;
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2010-10-13 20:52:39 +08:00
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Npp32fc nValue;
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nValue.re = (Npp32f)sc[0];
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nValue.im = (Npp32f)sc[1];
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2010-11-08 17:55:10 +08:00
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nppSafeCall( func(src.ptr<Npp32fc>(), src.step, nValue, dst.ptr<Npp32fc>(), dst.step, sz) );
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}
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2010-10-13 20:52:39 +08:00
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};
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2010-09-13 22:30:09 +08:00
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}
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2010-09-09 23:34:16 +08:00
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void cv::gpu::add(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
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{
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2010-09-27 20:44:57 +08:00
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nppArithmCaller(src1, src2, dst, nppiAdd_8u_C1RSfs, nppiAdd_8u_C4RSfs, nppiAdd_32s_C1R, nppiAdd_32f_C1R);
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2010-09-13 22:30:09 +08:00
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}
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2010-11-08 17:55:10 +08:00
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void cv::gpu::subtract(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
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2010-09-13 22:30:09 +08:00
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{
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2010-11-08 17:55:10 +08:00
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nppArithmCaller(src2, src1, dst, nppiSub_8u_C1RSfs, nppiSub_8u_C4RSfs, nppiSub_32s_C1R, nppiSub_32f_C1R);
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2010-09-13 22:30:09 +08:00
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}
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void cv::gpu::multiply(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
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{
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2010-11-08 17:55:10 +08:00
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nppArithmCaller(src1, src2, dst, nppiMul_8u_C1RSfs, nppiMul_8u_C4RSfs, nppiMul_32s_C1R, nppiMul_32f_C1R);
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2010-09-13 22:30:09 +08:00
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}
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void cv::gpu::divide(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
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{
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2010-11-08 17:55:10 +08:00
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nppArithmCaller(src2, src1, dst, nppiDiv_8u_C1RSfs, nppiDiv_8u_C4RSfs, nppiDiv_32s_C1R, nppiDiv_32f_C1R);
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2010-09-27 20:44:57 +08:00
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|
}
|
|
|
|
|
|
|
|
void cv::gpu::add(const GpuMat& src, const Scalar& sc, GpuMat& dst)
|
|
|
|
{
|
2010-10-13 20:52:39 +08:00
|
|
|
typedef void (*caller_t)(const GpuMat& src, const Scalar& sc, GpuMat& dst);
|
2010-11-08 17:55:10 +08:00
|
|
|
static const caller_t callers[] = {0, NppArithmScalar<1, nppiAddC_32f_C1R>::calc, NppArithmScalar<2, nppiAddC_32fc_C1R>::calc};
|
2010-10-13 20:52:39 +08:00
|
|
|
|
|
|
|
CV_Assert(src.type() == CV_32FC1 || src.type() == CV_32FC2);
|
|
|
|
|
|
|
|
callers[src.channels()](src, sc, dst);
|
2010-09-27 20:44:57 +08:00
|
|
|
}
|
|
|
|
|
|
|
|
void cv::gpu::subtract(const GpuMat& src, const Scalar& sc, GpuMat& dst)
|
|
|
|
{
|
2010-10-13 20:52:39 +08:00
|
|
|
typedef void (*caller_t)(const GpuMat& src, const Scalar& sc, GpuMat& dst);
|
2010-11-08 17:55:10 +08:00
|
|
|
static const caller_t callers[] = {0, NppArithmScalar<1, nppiSubC_32f_C1R>::calc, NppArithmScalar<2, nppiSubC_32fc_C1R>::calc};
|
2010-10-13 20:52:39 +08:00
|
|
|
|
|
|
|
CV_Assert(src.type() == CV_32FC1 || src.type() == CV_32FC2);
|
|
|
|
|
|
|
|
callers[src.channels()](src, sc, dst);
|
2010-09-27 20:44:57 +08:00
|
|
|
}
|
|
|
|
|
|
|
|
void cv::gpu::multiply(const GpuMat& src, const Scalar& sc, GpuMat& dst)
|
|
|
|
{
|
2010-10-13 20:52:39 +08:00
|
|
|
typedef void (*caller_t)(const GpuMat& src, const Scalar& sc, GpuMat& dst);
|
2010-11-08 17:55:10 +08:00
|
|
|
static const caller_t callers[] = {0, NppArithmScalar<1, nppiMulC_32f_C1R>::calc, NppArithmScalar<2, nppiMulC_32fc_C1R>::calc};
|
2010-10-13 20:52:39 +08:00
|
|
|
|
|
|
|
CV_Assert(src.type() == CV_32FC1 || src.type() == CV_32FC2);
|
|
|
|
|
|
|
|
callers[src.channels()](src, sc, dst);
|
2010-09-27 20:44:57 +08:00
|
|
|
}
|
|
|
|
|
|
|
|
void cv::gpu::divide(const GpuMat& src, const Scalar& sc, GpuMat& dst)
|
|
|
|
{
|
2010-10-13 20:52:39 +08:00
|
|
|
typedef void (*caller_t)(const GpuMat& src, const Scalar& sc, GpuMat& dst);
|
2010-11-08 17:55:10 +08:00
|
|
|
static const caller_t callers[] = {0, NppArithmScalar<1, nppiDivC_32f_C1R>::calc, NppArithmScalar<2, nppiDivC_32fc_C1R>::calc};
|
2010-10-13 20:52:39 +08:00
|
|
|
|
|
|
|
CV_Assert(src.type() == CV_32FC1 || src.type() == CV_32FC2);
|
|
|
|
|
|
|
|
callers[src.channels()](src, sc, dst);
|
2010-09-13 22:30:09 +08:00
|
|
|
}
|
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// transpose
|
|
|
|
|
2010-09-13 22:30:09 +08:00
|
|
|
void cv::gpu::transpose(const GpuMat& src, GpuMat& dst)
|
|
|
|
{
|
|
|
|
CV_Assert(src.type() == CV_8UC1);
|
|
|
|
|
|
|
|
dst.create( src.cols, src.rows, src.type() );
|
|
|
|
|
|
|
|
NppiSize sz;
|
|
|
|
sz.width = src.cols;
|
|
|
|
sz.height = src.rows;
|
|
|
|
|
2010-09-20 18:34:46 +08:00
|
|
|
nppSafeCall( nppiTranspose_8u_C1R(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, sz) );
|
2010-09-13 22:30:09 +08:00
|
|
|
}
|
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// absdiff
|
|
|
|
|
2010-09-13 22:30:09 +08:00
|
|
|
void cv::gpu::absdiff(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
|
|
|
|
{
|
2010-11-08 17:55:10 +08:00
|
|
|
CV_DbgAssert(src1.size() == src2.size() && src1.type() == src2.type());
|
2010-09-13 22:30:09 +08:00
|
|
|
|
2010-11-08 17:55:10 +08:00
|
|
|
CV_Assert(src1.type() == CV_8UC1 || src1.type() == CV_8UC4 || src1.type() == CV_32SC1 || src1.type() == CV_32FC1);
|
2010-09-13 22:30:09 +08:00
|
|
|
|
2010-09-10 23:04:54 +08:00
|
|
|
dst.create( src1.size(), src1.type() );
|
|
|
|
|
2010-09-13 22:30:09 +08:00
|
|
|
NppiSize sz;
|
|
|
|
sz.width = src1.cols;
|
|
|
|
sz.height = src1.rows;
|
2010-09-09 23:34:16 +08:00
|
|
|
|
2010-09-27 20:44:57 +08:00
|
|
|
switch (src1.type())
|
2010-09-13 22:30:09 +08:00
|
|
|
{
|
2010-09-27 20:44:57 +08:00
|
|
|
case CV_8UC1:
|
2010-11-08 17:55:10 +08:00
|
|
|
nppSafeCall( nppiAbsDiff_8u_C1R(src1.ptr<Npp8u>(), src1.step,
|
|
|
|
src2.ptr<Npp8u>(), src2.step,
|
2010-09-20 18:34:46 +08:00
|
|
|
dst.ptr<Npp8u>(), dst.step, sz) );
|
2010-09-27 20:44:57 +08:00
|
|
|
break;
|
|
|
|
case CV_8UC4:
|
2010-11-08 17:55:10 +08:00
|
|
|
nppSafeCall( nppiAbsDiff_8u_C4R(src1.ptr<Npp8u>(), src1.step,
|
|
|
|
src2.ptr<Npp8u>(), src2.step,
|
2010-09-27 20:44:57 +08:00
|
|
|
dst.ptr<Npp8u>(), dst.step, sz) );
|
|
|
|
break;
|
|
|
|
case CV_32SC1:
|
|
|
|
nppSafeCall( nppiAbsDiff_32s_C1R(src1.ptr<Npp32s>(), src1.step,
|
|
|
|
src2.ptr<Npp32s>(), src2.step,
|
|
|
|
dst.ptr<Npp32s>(), dst.step, sz) );
|
|
|
|
break;
|
|
|
|
case CV_32FC1:
|
2010-09-20 18:34:46 +08:00
|
|
|
nppSafeCall( nppiAbsDiff_32f_C1R(src1.ptr<Npp32f>(), src1.step,
|
|
|
|
src2.ptr<Npp32f>(), src2.step,
|
|
|
|
dst.ptr<Npp32f>(), dst.step, sz) );
|
2010-09-27 20:44:57 +08:00
|
|
|
break;
|
|
|
|
default:
|
|
|
|
CV_Assert(!"Unsupported source type");
|
2010-09-13 22:30:09 +08:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2010-09-27 20:44:57 +08:00
|
|
|
void cv::gpu::absdiff(const GpuMat& src, const Scalar& s, GpuMat& dst)
|
|
|
|
{
|
2010-11-08 17:55:10 +08:00
|
|
|
CV_Assert(src.type() == CV_32FC1);
|
2010-09-27 20:44:57 +08:00
|
|
|
|
|
|
|
dst.create( src.size(), src.type() );
|
|
|
|
|
|
|
|
NppiSize sz;
|
|
|
|
sz.width = src.cols;
|
|
|
|
sz.height = src.rows;
|
|
|
|
|
|
|
|
nppSafeCall( nppiAbsDiffC_32f_C1R(src.ptr<Npp32f>(), src.step, dst.ptr<Npp32f>(), dst.step, sz, (Npp32f)s[0]) );
|
|
|
|
}
|
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// compare
|
2010-09-13 22:30:09 +08:00
|
|
|
|
2010-10-20 16:50:14 +08:00
|
|
|
namespace cv { namespace gpu { namespace mathfunc
|
2010-09-20 18:34:46 +08:00
|
|
|
{
|
2010-10-20 16:50:14 +08:00
|
|
|
void compare_ne_8uc4(const DevMem2D& src1, const DevMem2D& src2, const DevMem2D& dst);
|
2010-09-20 18:34:46 +08:00
|
|
|
void compare_ne_32f(const DevMem2D& src1, const DevMem2D& src2, const DevMem2D& dst);
|
|
|
|
}}}
|
|
|
|
|
2010-11-08 17:55:10 +08:00
|
|
|
void cv::gpu::compare(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, int cmpop)
|
2010-09-13 22:30:09 +08:00
|
|
|
{
|
|
|
|
CV_DbgAssert(src1.size() == src2.size() && src1.type() == src2.type());
|
|
|
|
|
2010-09-20 18:34:46 +08:00
|
|
|
CV_Assert(src1.type() == CV_8UC4 || src1.type() == CV_32FC1);
|
2010-09-13 22:30:09 +08:00
|
|
|
|
|
|
|
dst.create( src1.size(), CV_8UC1 );
|
|
|
|
|
|
|
|
static const NppCmpOp nppCmpOp[] = { NPP_CMP_EQ, NPP_CMP_GREATER, NPP_CMP_GREATER_EQ, NPP_CMP_LESS, NPP_CMP_LESS_EQ };
|
2010-09-09 23:34:16 +08:00
|
|
|
|
|
|
|
NppiSize sz;
|
2010-09-10 23:04:54 +08:00
|
|
|
sz.width = src1.cols;
|
2010-09-09 23:34:16 +08:00
|
|
|
sz.height = src1.rows;
|
|
|
|
|
2010-09-20 18:34:46 +08:00
|
|
|
if (src1.type() == CV_8UC4)
|
2010-09-09 23:34:16 +08:00
|
|
|
{
|
2010-09-20 18:34:46 +08:00
|
|
|
if (cmpop != CMP_NE)
|
|
|
|
{
|
2010-11-08 17:55:10 +08:00
|
|
|
nppSafeCall( nppiCompare_8u_C4R(src1.ptr<Npp8u>(), src1.step,
|
|
|
|
src2.ptr<Npp8u>(), src2.step,
|
2010-09-20 18:34:46 +08:00
|
|
|
dst.ptr<Npp8u>(), dst.step, sz, nppCmpOp[cmpop]) );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
2010-10-20 16:50:14 +08:00
|
|
|
mathfunc::compare_ne_8uc4(src1, src2, dst);
|
2010-09-20 18:34:46 +08:00
|
|
|
}
|
2010-09-10 23:04:54 +08:00
|
|
|
}
|
2010-09-20 18:34:46 +08:00
|
|
|
else
|
2010-09-10 23:04:54 +08:00
|
|
|
{
|
2010-09-20 18:34:46 +08:00
|
|
|
if (cmpop != CMP_NE)
|
|
|
|
{
|
|
|
|
nppSafeCall( nppiCompare_32f_C1R(src1.ptr<Npp32f>(), src1.step,
|
|
|
|
src2.ptr<Npp32f>(), src2.step,
|
|
|
|
dst.ptr<Npp8u>(), dst.step, sz, nppCmpOp[cmpop]) );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
2010-10-20 16:50:14 +08:00
|
|
|
mathfunc::compare_ne_32f(src1, src2, dst);
|
2010-09-20 18:34:46 +08:00
|
|
|
}
|
2010-09-09 23:34:16 +08:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// meanStdDev
|
|
|
|
|
2010-11-08 17:55:10 +08:00
|
|
|
void cv::gpu::meanStdDev(const GpuMat& src, Scalar& mean, Scalar& stddev)
|
2010-09-13 22:30:09 +08:00
|
|
|
{
|
|
|
|
CV_Assert(src.type() == CV_8UC1);
|
|
|
|
|
|
|
|
NppiSize sz;
|
|
|
|
sz.width = src.cols;
|
|
|
|
sz.height = src.rows;
|
|
|
|
|
2010-09-20 18:34:46 +08:00
|
|
|
nppSafeCall( nppiMean_StdDev_8u_C1R(src.ptr<Npp8u>(), src.step, sz, mean.val, stddev.val) );
|
2010-09-13 22:30:09 +08:00
|
|
|
}
|
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// norm
|
|
|
|
|
2010-11-08 17:55:10 +08:00
|
|
|
double cv::gpu::norm(const GpuMat& src1, int normType)
|
2010-09-13 22:30:09 +08:00
|
|
|
{
|
|
|
|
return norm(src1, GpuMat(src1.size(), src1.type(), Scalar::all(0.0)), normType);
|
|
|
|
}
|
|
|
|
|
|
|
|
double cv::gpu::norm(const GpuMat& src1, const GpuMat& src2, int normType)
|
|
|
|
{
|
|
|
|
CV_DbgAssert(src1.size() == src2.size() && src1.type() == src2.type());
|
|
|
|
|
2010-09-20 18:34:46 +08:00
|
|
|
CV_Assert(src1.type() == CV_8UC1);
|
|
|
|
CV_Assert(normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2);
|
2010-09-13 22:30:09 +08:00
|
|
|
|
2010-11-08 17:55:10 +08:00
|
|
|
typedef NppStatus (*npp_norm_diff_func_t)(const Npp8u* pSrc1, int nSrcStep1, const Npp8u* pSrc2, int nSrcStep2,
|
2010-09-13 22:30:09 +08:00
|
|
|
NppiSize oSizeROI, Npp64f* pRetVal);
|
|
|
|
|
|
|
|
static const npp_norm_diff_func_t npp_norm_diff_func[] = {nppiNormDiff_Inf_8u_C1R, nppiNormDiff_L1_8u_C1R, nppiNormDiff_L2_8u_C1R};
|
|
|
|
|
|
|
|
NppiSize sz;
|
|
|
|
sz.width = src1.cols;
|
|
|
|
sz.height = src1.rows;
|
|
|
|
|
|
|
|
int funcIdx = normType >> 1;
|
2010-09-27 17:37:43 +08:00
|
|
|
double retVal;
|
2010-09-13 22:30:09 +08:00
|
|
|
|
2010-11-08 17:55:10 +08:00
|
|
|
nppSafeCall( npp_norm_diff_func[funcIdx](src1.ptr<Npp8u>(), src1.step,
|
|
|
|
src2.ptr<Npp8u>(), src2.step,
|
2010-09-27 17:37:43 +08:00
|
|
|
sz, &retVal) );
|
2010-09-13 22:30:09 +08:00
|
|
|
|
2010-09-27 17:37:43 +08:00
|
|
|
return retVal;
|
2010-09-13 22:30:09 +08:00
|
|
|
}
|
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// flip
|
|
|
|
|
2010-09-15 16:26:18 +08:00
|
|
|
void cv::gpu::flip(const GpuMat& src, GpuMat& dst, int flipCode)
|
|
|
|
{
|
|
|
|
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC4);
|
|
|
|
|
|
|
|
dst.create( src.size(), src.type() );
|
|
|
|
|
|
|
|
NppiSize sz;
|
|
|
|
sz.width = src.cols;
|
|
|
|
sz.height = src.rows;
|
|
|
|
|
2010-09-20 18:34:46 +08:00
|
|
|
if (src.type() == CV_8UC1)
|
2010-09-15 16:26:18 +08:00
|
|
|
{
|
2010-11-08 17:55:10 +08:00
|
|
|
nppSafeCall( nppiMirror_8u_C1R(src.ptr<Npp8u>(), src.step,
|
|
|
|
dst.ptr<Npp8u>(), dst.step, sz,
|
2010-09-15 22:34:41 +08:00
|
|
|
(flipCode == 0 ? NPP_HORIZONTAL_AXIS : (flipCode > 0 ? NPP_VERTICAL_AXIS : NPP_BOTH_AXIS))) );
|
2010-09-15 16:26:18 +08:00
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
2010-11-08 17:55:10 +08:00
|
|
|
nppSafeCall( nppiMirror_8u_C4R(src.ptr<Npp8u>(), src.step,
|
|
|
|
dst.ptr<Npp8u>(), dst.step, sz,
|
2010-09-15 22:34:41 +08:00
|
|
|
(flipCode == 0 ? NPP_HORIZONTAL_AXIS : (flipCode > 0 ? NPP_VERTICAL_AXIS : NPP_BOTH_AXIS))) );
|
2010-09-15 16:26:18 +08:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// sum
|
2010-09-15 16:26:18 +08:00
|
|
|
|
|
|
|
Scalar cv::gpu::sum(const GpuMat& src)
|
|
|
|
{
|
2010-11-23 16:21:26 +08:00
|
|
|
CV_Assert(!"disabled until fix crash");
|
|
|
|
|
2010-11-08 17:55:10 +08:00
|
|
|
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC4);
|
2010-09-15 16:26:18 +08:00
|
|
|
|
|
|
|
NppiSize sz;
|
|
|
|
sz.width = src.cols;
|
|
|
|
sz.height = src.rows;
|
|
|
|
|
2010-11-08 17:55:10 +08:00
|
|
|
Scalar res;
|
|
|
|
|
2010-09-25 00:41:34 +08:00
|
|
|
int bufsz;
|
2010-11-08 17:55:10 +08:00
|
|
|
|
2010-09-20 18:34:46 +08:00
|
|
|
if (src.type() == CV_8UC1)
|
2010-11-08 17:55:10 +08:00
|
|
|
{
|
2010-09-25 00:41:34 +08:00
|
|
|
nppiReductionGetBufferHostSize_8u_C1R(sz, &bufsz);
|
|
|
|
GpuMat buf(1, bufsz, CV_32S);
|
2010-09-27 14:57:25 +08:00
|
|
|
|
2010-09-27 17:37:43 +08:00
|
|
|
nppSafeCall( nppiSum_8u_C1R(src.ptr<Npp8u>(), src.step, sz, buf.ptr<Npp32s>(), res.val) );
|
2010-09-15 16:26:18 +08:00
|
|
|
}
|
|
|
|
else
|
2010-11-08 17:55:10 +08:00
|
|
|
{
|
2010-09-25 00:41:34 +08:00
|
|
|
nppiReductionGetBufferHostSize_8u_C4R(sz, &bufsz);
|
|
|
|
GpuMat buf(1, bufsz, CV_32S);
|
2010-09-27 14:57:25 +08:00
|
|
|
|
2010-09-25 00:41:34 +08:00
|
|
|
nppSafeCall( nppiSum_8u_C4R(src.ptr<Npp8u>(), src.step, sz, buf.ptr<Npp32s>(), res.val) );
|
2010-09-15 16:26:18 +08:00
|
|
|
}
|
2010-11-08 17:55:10 +08:00
|
|
|
|
|
|
|
return res;
|
2010-09-15 16:26:18 +08:00
|
|
|
}
|
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// minMax
|
|
|
|
|
2010-11-25 17:57:02 +08:00
|
|
|
namespace cv { namespace gpu { namespace mathfunc { namespace minmax {
|
|
|
|
|
2010-11-25 18:19:06 +08:00
|
|
|
void get_buf_size_required(int elem_size, int& cols, int& rows);
|
2010-11-25 17:57:02 +08:00
|
|
|
|
2010-11-24 16:55:52 +08:00
|
|
|
template <typename T>
|
2010-11-25 18:19:06 +08:00
|
|
|
void min_max_caller(const DevMem2D src, double* minval, double* maxval, PtrStep buf);
|
2010-11-25 17:57:02 +08:00
|
|
|
|
|
|
|
template <typename T>
|
2010-11-25 18:19:06 +08:00
|
|
|
void min_max_caller_2steps(const DevMem2D src, double* minval, double* maxval, PtrStep buf);
|
2010-11-25 17:57:02 +08:00
|
|
|
|
|
|
|
}}}}
|
2010-10-11 16:54:28 +08:00
|
|
|
|
2010-11-08 17:55:10 +08:00
|
|
|
void cv::gpu::minMax(const GpuMat& src, double* minVal, double* maxVal)
|
2010-11-25 18:19:06 +08:00
|
|
|
{
|
|
|
|
GpuMat buf;
|
|
|
|
minMax(src, minVal, maxVal, buf);
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
void cv::gpu::minMax(const GpuMat& src, double* minVal, double* maxVal, GpuMat& buf)
|
2010-10-11 16:54:28 +08:00
|
|
|
{
|
2010-11-25 17:57:02 +08:00
|
|
|
using namespace mathfunc::minmax;
|
2010-10-11 16:54:28 +08:00
|
|
|
|
2010-11-26 15:50:11 +08:00
|
|
|
double minVal_; if (!minVal) minVal = &minVal_;
|
|
|
|
double maxVal_; if (!maxVal) maxVal = &maxVal_;
|
2010-11-25 17:57:02 +08:00
|
|
|
|
|
|
|
GpuMat src_ = src.reshape(1);
|
2010-11-25 18:19:06 +08:00
|
|
|
|
|
|
|
Size bufSize;
|
|
|
|
get_buf_size_required(src.elemSize(), bufSize.width, bufSize.height);
|
|
|
|
buf.create(bufSize, CV_8U);
|
2010-11-25 17:57:02 +08:00
|
|
|
|
|
|
|
int major, minor;
|
|
|
|
getComputeCapability(getDevice(), major, minor);
|
2010-11-25 18:19:06 +08:00
|
|
|
|
2010-11-27 01:12:48 +08:00
|
|
|
if (major > 1 || (major == 1 && minor >= 1))
|
2010-11-24 16:55:52 +08:00
|
|
|
{
|
2010-11-25 17:57:02 +08:00
|
|
|
switch (src_.type())
|
|
|
|
{
|
2010-11-25 18:19:06 +08:00
|
|
|
case CV_8U: min_max_caller<unsigned char>(src_, minVal, maxVal, buf); break;
|
|
|
|
case CV_8S: min_max_caller<signed char>(src_, minVal, maxVal, buf); break;
|
|
|
|
case CV_16U: min_max_caller<unsigned short>(src_, minVal, maxVal, buf); break;
|
|
|
|
case CV_16S: min_max_caller<signed short>(src_, minVal, maxVal, buf); break;
|
|
|
|
case CV_32S: min_max_caller<int>(src_, minVal, maxVal, buf); break;
|
|
|
|
case CV_32F: min_max_caller<float>(src_, minVal, maxVal, buf); break;
|
|
|
|
case CV_64F: min_max_caller<double>(src_, minVal, maxVal, buf); break;
|
2010-11-27 01:12:48 +08:00
|
|
|
default: CV_Error(CV_StsBadArg, "minMax: unsupported type");
|
2010-11-25 17:57:02 +08:00
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
switch (src_.type())
|
|
|
|
{
|
2010-11-25 18:19:06 +08:00
|
|
|
case CV_8U: min_max_caller_2steps<unsigned char>(src_, minVal, maxVal, buf); break;
|
|
|
|
case CV_8S: min_max_caller_2steps<signed char>(src_, minVal, maxVal, buf); break;
|
|
|
|
case CV_16U: min_max_caller_2steps<unsigned short>(src_, minVal, maxVal, buf); break;
|
|
|
|
case CV_16S: min_max_caller_2steps<signed short>(src_, minVal, maxVal, buf); break;
|
|
|
|
case CV_32S: min_max_caller_2steps<int>(src_, minVal, maxVal, buf); break;
|
|
|
|
case CV_32F: min_max_caller_2steps<float>(src_, minVal, maxVal, buf); break;
|
2010-11-27 01:12:48 +08:00
|
|
|
default: CV_Error(CV_StsBadArg, "minMax: unsupported type");
|
2010-11-25 17:57:02 +08:00
|
|
|
}
|
2010-11-24 16:55:52 +08:00
|
|
|
}
|
2010-09-15 16:26:18 +08:00
|
|
|
}
|
|
|
|
|
2010-11-24 19:40:14 +08:00
|
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// minMaxLoc
|
|
|
|
|
2010-11-25 17:57:02 +08:00
|
|
|
namespace cv { namespace gpu { namespace mathfunc { namespace minmaxloc {
|
|
|
|
|
2010-11-26 15:50:11 +08:00
|
|
|
void get_buf_size_required(int elem_size, int& b1cols, int& b1rows,
|
|
|
|
int& b2cols, int& b2rows);
|
|
|
|
|
2010-11-24 19:40:14 +08:00
|
|
|
template <typename T>
|
2010-11-25 17:57:02 +08:00
|
|
|
void min_max_loc_caller(const DevMem2D src, double* minval, double* maxval,
|
2010-11-26 15:50:11 +08:00
|
|
|
int minloc[2], int maxloc[2], PtrStep valbuf, PtrStep locbuf);
|
|
|
|
|
|
|
|
template <typename T>
|
|
|
|
void min_max_loc_caller_2steps(const DevMem2D src, double* minval, double* maxval,
|
|
|
|
int minloc[2], int maxloc[2], PtrStep valbuf, PtrStep locbuf);
|
2010-11-25 17:57:02 +08:00
|
|
|
|
|
|
|
}}}}
|
2010-11-24 19:40:14 +08:00
|
|
|
|
|
|
|
void cv::gpu::minMaxLoc(const GpuMat& src, double* minVal, double* maxVal, Point* minLoc, Point* maxLoc)
|
2010-11-26 15:50:11 +08:00
|
|
|
{
|
|
|
|
GpuMat valbuf, locbuf;
|
|
|
|
minMaxLoc(src, minVal, maxVal, minLoc, maxLoc, valbuf, locbuf);
|
|
|
|
}
|
|
|
|
|
|
|
|
void cv::gpu::minMaxLoc(const GpuMat& src, double* minVal, double* maxVal, Point* minLoc, Point* maxLoc,
|
|
|
|
GpuMat& valbuf, GpuMat& locbuf)
|
2010-11-24 19:40:14 +08:00
|
|
|
{
|
2010-11-25 17:57:02 +08:00
|
|
|
using namespace mathfunc::minmaxloc;
|
2010-11-24 19:40:14 +08:00
|
|
|
CV_Assert(src.channels() == 1);
|
|
|
|
|
2010-11-26 15:50:11 +08:00
|
|
|
double minVal_; if (!minVal) minVal = &minVal_;
|
|
|
|
double maxVal_; if (!maxVal) maxVal = &maxVal_;
|
|
|
|
int minLoc_[2];
|
|
|
|
int maxLoc_[2];
|
2010-11-24 19:40:14 +08:00
|
|
|
|
2010-11-26 15:50:11 +08:00
|
|
|
Size valbuf_size, locbuf_size;
|
|
|
|
get_buf_size_required(src.elemSize(), valbuf_size.width, valbuf_size.height,
|
|
|
|
locbuf_size.width, locbuf_size.height);
|
|
|
|
valbuf.create(valbuf_size, CV_8U);
|
|
|
|
locbuf.create(locbuf_size, CV_8U);
|
2010-11-24 19:40:14 +08:00
|
|
|
|
2010-11-26 15:50:11 +08:00
|
|
|
int major, minor;
|
|
|
|
getComputeCapability(getDevice(), major, minor);
|
|
|
|
|
2010-11-27 01:12:48 +08:00
|
|
|
if (major > 1 || (major == 1 && minor >= 1))
|
2010-11-26 15:50:11 +08:00
|
|
|
{
|
|
|
|
switch (src.type())
|
|
|
|
{
|
|
|
|
case CV_8U: min_max_loc_caller<unsigned char>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
|
|
|
case CV_8S: min_max_loc_caller<signed char>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
|
|
|
case CV_16U: min_max_loc_caller<unsigned short>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
|
|
|
case CV_16S: min_max_loc_caller<signed short>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
|
|
|
case CV_32S: min_max_loc_caller<int>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
|
|
|
case CV_32F: min_max_loc_caller<float>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
|
|
|
case CV_64F: min_max_loc_caller<double>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
2010-11-27 01:12:48 +08:00
|
|
|
default: CV_Error(CV_StsBadArg, "minMaxLoc: unsupported type");
|
2010-11-26 15:50:11 +08:00
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
2010-11-24 19:40:14 +08:00
|
|
|
{
|
2010-11-26 15:50:11 +08:00
|
|
|
switch (src.type())
|
|
|
|
{
|
|
|
|
case CV_8U: min_max_loc_caller_2steps<unsigned char>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
|
|
|
case CV_8S: min_max_loc_caller_2steps<signed char>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
|
|
|
case CV_16U: min_max_loc_caller_2steps<unsigned short>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
|
|
|
case CV_16S: min_max_loc_caller_2steps<signed short>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
|
|
|
case CV_32S: min_max_loc_caller_2steps<int>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
|
|
|
case CV_32F: min_max_loc_caller_2steps<float>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
|
2010-11-27 01:12:48 +08:00
|
|
|
default: CV_Error(CV_StsBadArg, "minMaxLoc: unsupported type");
|
2010-11-26 15:50:11 +08:00
|
|
|
}
|
2010-11-24 19:40:14 +08:00
|
|
|
}
|
2010-11-26 15:50:11 +08:00
|
|
|
|
|
|
|
if (minLoc) { minLoc->x = minLoc_[0]; minLoc->y = minLoc_[1]; }
|
|
|
|
if (maxLoc) { maxLoc->x = maxLoc_[0]; maxLoc->y = maxLoc_[1]; }
|
2010-11-24 19:40:14 +08:00
|
|
|
}
|
|
|
|
|
2010-11-27 01:12:48 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// Count non zero
|
|
|
|
|
|
|
|
namespace cv { namespace gpu { namespace mathfunc { namespace countnonzero {
|
|
|
|
|
|
|
|
void get_buf_size_required(int& cols, int& rows);
|
|
|
|
|
|
|
|
template <typename T>
|
|
|
|
int count_non_zero_caller(const DevMem2D src, PtrStep buf);
|
|
|
|
|
|
|
|
template <typename T>
|
|
|
|
int count_non_zero_caller_2steps(const DevMem2D src, PtrStep buf);
|
|
|
|
|
|
|
|
}}}}
|
|
|
|
|
|
|
|
int cv::gpu::countNonZero(const GpuMat& src)
|
|
|
|
{
|
|
|
|
GpuMat buf;
|
|
|
|
return countNonZero(src, buf);
|
|
|
|
}
|
|
|
|
|
|
|
|
int cv::gpu::countNonZero(const GpuMat& src, GpuMat& buf)
|
|
|
|
{
|
|
|
|
using namespace mathfunc::countnonzero;
|
|
|
|
CV_Assert(src.channels() == 1);
|
|
|
|
|
|
|
|
Size buf_size;
|
|
|
|
get_buf_size_required(buf_size.width, buf_size.height);
|
|
|
|
buf.create(buf_size, CV_8U);
|
|
|
|
|
|
|
|
switch (src.type())
|
|
|
|
{
|
|
|
|
case CV_8U: return count_non_zero_caller<unsigned char>(src, buf);
|
|
|
|
case CV_8S: return count_non_zero_caller<signed char>(src, buf);
|
|
|
|
case CV_16U: return count_non_zero_caller<unsigned short>(src, buf);
|
|
|
|
case CV_16S: return count_non_zero_caller<signed short>(src, buf);
|
|
|
|
case CV_32S: return count_non_zero_caller<int>(src, buf);
|
|
|
|
case CV_32F: return count_non_zero_caller<float>(src, buf);
|
|
|
|
case CV_64F: return count_non_zero_caller<double>(src, buf);
|
|
|
|
}
|
|
|
|
|
|
|
|
CV_Error(CV_StsBadArg, "countNonZero: unsupported type");
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// LUT
|
2010-09-15 16:26:18 +08:00
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
void cv::gpu::LUT(const GpuMat& src, const Mat& lut, GpuMat& dst)
|
|
|
|
{
|
|
|
|
class LevelsInit
|
2010-09-15 20:47:59 +08:00
|
|
|
{
|
2010-09-22 18:58:01 +08:00
|
|
|
public:
|
|
|
|
Npp32s pLevels[256];
|
2010-09-27 17:37:43 +08:00
|
|
|
const Npp32s* pLevels3[3];
|
|
|
|
int nValues3[3];
|
2010-09-15 20:47:59 +08:00
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
LevelsInit()
|
2010-09-27 17:37:43 +08:00
|
|
|
{
|
|
|
|
nValues3[0] = nValues3[1] = nValues3[2] = 256;
|
2010-09-22 18:58:01 +08:00
|
|
|
for (int i = 0; i < 256; ++i)
|
|
|
|
pLevels[i] = i;
|
2010-09-27 17:37:43 +08:00
|
|
|
pLevels3[0] = pLevels3[1] = pLevels3[2] = pLevels;
|
2010-09-15 20:47:59 +08:00
|
|
|
}
|
2010-09-22 18:58:01 +08:00
|
|
|
};
|
|
|
|
static LevelsInit lvls;
|
2010-09-15 20:47:59 +08:00
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
int cn = src.channels();
|
2010-09-15 20:47:59 +08:00
|
|
|
|
2010-09-27 17:37:43 +08:00
|
|
|
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC3);
|
|
|
|
CV_Assert(lut.depth() == CV_8U && (lut.channels() == 1 || lut.channels() == cn) && lut.rows * lut.cols == 256 && lut.isContinuous());
|
2010-09-15 20:47:59 +08:00
|
|
|
|
2010-09-27 17:37:43 +08:00
|
|
|
dst.create(src.size(), CV_MAKETYPE(lut.depth(), cn));
|
2010-09-15 20:47:59 +08:00
|
|
|
|
2010-09-22 18:58:01 +08:00
|
|
|
NppiSize sz;
|
|
|
|
sz.height = src.rows;
|
|
|
|
sz.width = src.cols;
|
2010-11-08 17:55:10 +08:00
|
|
|
|
2010-09-27 17:37:43 +08:00
|
|
|
Mat nppLut;
|
|
|
|
lut.convertTo(nppLut, CV_32S);
|
2010-09-15 20:47:59 +08:00
|
|
|
|
2010-09-27 17:37:43 +08:00
|
|
|
if (src.type() == CV_8UC1)
|
|
|
|
{
|
2010-11-08 17:55:10 +08:00
|
|
|
nppSafeCall( nppiLUT_Linear_8u_C1R(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, sz,
|
2010-09-27 17:37:43 +08:00
|
|
|
nppLut.ptr<Npp32s>(), lvls.pLevels, 256) );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
Mat nppLut3[3];
|
|
|
|
const Npp32s* pValues3[3];
|
|
|
|
if (nppLut.channels() == 1)
|
|
|
|
pValues3[0] = pValues3[1] = pValues3[2] = nppLut.ptr<Npp32s>();
|
|
|
|
else
|
|
|
|
{
|
|
|
|
cv::split(nppLut, nppLut3);
|
|
|
|
pValues3[0] = nppLut3[0].ptr<Npp32s>();
|
2010-11-08 17:55:10 +08:00
|
|
|
pValues3[1] = nppLut3[1].ptr<Npp32s>();
|
2010-09-27 17:37:43 +08:00
|
|
|
pValues3[2] = nppLut3[2].ptr<Npp32s>();
|
|
|
|
}
|
2010-11-08 17:55:10 +08:00
|
|
|
nppSafeCall( nppiLUT_Linear_8u_C3R(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, sz,
|
2010-09-27 17:37:43 +08:00
|
|
|
pValues3, lvls.pLevels3, lvls.nValues3) );
|
|
|
|
}
|
2010-09-15 20:47:59 +08:00
|
|
|
}
|
|
|
|
|
2010-09-27 20:44:57 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// exp
|
|
|
|
|
|
|
|
void cv::gpu::exp(const GpuMat& src, GpuMat& dst)
|
|
|
|
{
|
|
|
|
CV_Assert(src.type() == CV_32FC1);
|
|
|
|
|
|
|
|
dst.create(src.size(), src.type());
|
|
|
|
|
|
|
|
NppiSize sz;
|
|
|
|
sz.width = src.cols;
|
|
|
|
sz.height = src.rows;
|
|
|
|
|
|
|
|
nppSafeCall( nppiExp_32f_C1R(src.ptr<Npp32f>(), src.step, dst.ptr<Npp32f>(), dst.step, sz) );
|
|
|
|
}
|
|
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// log
|
|
|
|
|
|
|
|
void cv::gpu::log(const GpuMat& src, GpuMat& dst)
|
|
|
|
{
|
|
|
|
CV_Assert(src.type() == CV_32FC1);
|
|
|
|
|
|
|
|
dst.create(src.size(), src.type());
|
|
|
|
|
|
|
|
NppiSize sz;
|
|
|
|
sz.width = src.cols;
|
|
|
|
sz.height = src.rows;
|
|
|
|
|
|
|
|
nppSafeCall( nppiLn_32f_C1R(src.ptr<Npp32f>(), src.step, dst.ptr<Npp32f>(), dst.step, sz) );
|
|
|
|
}
|
|
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
2010-10-18 19:12:14 +08:00
|
|
|
// NPP magnitide
|
|
|
|
|
|
|
|
namespace
|
|
|
|
{
|
|
|
|
typedef NppStatus (*nppMagnitude_t)(const Npp32fc* pSrc, int nSrcStep, Npp32f* pDst, int nDstStep, NppiSize oSizeROI);
|
|
|
|
|
|
|
|
inline void npp_magnitude(const GpuMat& src, GpuMat& dst, nppMagnitude_t func)
|
|
|
|
{
|
|
|
|
CV_Assert(src.type() == CV_32FC2);
|
|
|
|
|
|
|
|
dst.create(src.size(), CV_32FC1);
|
|
|
|
|
|
|
|
NppiSize sz;
|
|
|
|
sz.width = src.cols;
|
|
|
|
sz.height = src.rows;
|
|
|
|
|
|
|
|
nppSafeCall( func(src.ptr<Npp32fc>(), src.step, dst.ptr<Npp32f>(), dst.step, sz) );
|
|
|
|
}
|
|
|
|
}
|
2010-09-27 20:44:57 +08:00
|
|
|
|
2010-09-27 22:10:19 +08:00
|
|
|
void cv::gpu::magnitude(const GpuMat& src, GpuMat& dst)
|
|
|
|
{
|
2010-10-18 19:12:14 +08:00
|
|
|
::npp_magnitude(src, dst, nppiMagnitude_32fc32f_C1R);
|
|
|
|
}
|
2010-09-27 22:10:19 +08:00
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
void cv::gpu::magnitudeSqr(const GpuMat& src, GpuMat& dst)
|
|
|
|
{
|
|
|
|
::npp_magnitude(src, dst, nppiMagnitudeSqr_32fc32f_C1R);
|
|
|
|
}
|
2010-09-27 22:10:19 +08:00
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
// Polar <-> Cart
|
2010-09-27 22:10:19 +08:00
|
|
|
|
2010-11-08 17:55:10 +08:00
|
|
|
namespace cv { namespace gpu { namespace mathfunc
|
2010-10-18 19:12:14 +08:00
|
|
|
{
|
|
|
|
void cartToPolar_gpu(const DevMem2Df& x, const DevMem2Df& y, const DevMem2Df& mag, bool magSqr, const DevMem2Df& angle, bool angleInDegrees, cudaStream_t stream);
|
|
|
|
void polarToCart_gpu(const DevMem2Df& mag, const DevMem2Df& angle, const DevMem2Df& x, const DevMem2Df& y, bool angleInDegrees, cudaStream_t stream);
|
|
|
|
}}}
|
|
|
|
|
|
|
|
namespace
|
|
|
|
{
|
2010-10-26 13:44:50 +08:00
|
|
|
inline void cartToPolar_caller(const GpuMat& x, const GpuMat& y, GpuMat* mag, bool magSqr, GpuMat* angle, bool angleInDegrees, cudaStream_t stream)
|
2010-10-18 19:12:14 +08:00
|
|
|
{
|
|
|
|
CV_DbgAssert(x.size() == y.size() && x.type() == y.type());
|
|
|
|
CV_Assert(x.depth() == CV_32F);
|
|
|
|
|
2010-10-26 13:44:50 +08:00
|
|
|
if (mag)
|
|
|
|
mag->create(x.size(), x.type());
|
|
|
|
if (angle)
|
|
|
|
angle->create(x.size(), x.type());
|
2010-10-18 19:12:14 +08:00
|
|
|
|
|
|
|
GpuMat x1cn = x.reshape(1);
|
|
|
|
GpuMat y1cn = y.reshape(1);
|
2010-10-26 13:44:50 +08:00
|
|
|
GpuMat mag1cn = mag ? mag->reshape(1) : GpuMat();
|
|
|
|
GpuMat angle1cn = angle ? angle->reshape(1) : GpuMat();
|
2010-10-18 19:12:14 +08:00
|
|
|
|
|
|
|
mathfunc::cartToPolar_gpu(x1cn, y1cn, mag1cn, magSqr, angle1cn, angleInDegrees, stream);
|
|
|
|
}
|
|
|
|
|
|
|
|
inline void polarToCart_caller(const GpuMat& mag, const GpuMat& angle, GpuMat& x, GpuMat& y, bool angleInDegrees, cudaStream_t stream)
|
|
|
|
{
|
|
|
|
CV_DbgAssert((mag.empty() || mag.size() == angle.size()) && mag.type() == angle.type());
|
|
|
|
CV_Assert(mag.depth() == CV_32F);
|
|
|
|
|
|
|
|
x.create(mag.size(), mag.type());
|
|
|
|
y.create(mag.size(), mag.type());
|
|
|
|
|
|
|
|
GpuMat mag1cn = mag.reshape(1);
|
|
|
|
GpuMat angle1cn = angle.reshape(1);
|
|
|
|
GpuMat x1cn = x.reshape(1);
|
|
|
|
GpuMat y1cn = y.reshape(1);
|
|
|
|
|
|
|
|
mathfunc::polarToCart_gpu(mag1cn, angle1cn, x1cn, y1cn, angleInDegrees, stream);
|
|
|
|
}
|
2010-09-27 22:10:19 +08:00
|
|
|
}
|
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
void cv::gpu::magnitude(const GpuMat& x, const GpuMat& y, GpuMat& dst)
|
2010-09-27 20:44:57 +08:00
|
|
|
{
|
2010-10-26 13:44:50 +08:00
|
|
|
::cartToPolar_caller(x, y, &dst, false, 0, false, 0);
|
2010-10-18 19:12:14 +08:00
|
|
|
}
|
2010-09-27 20:44:57 +08:00
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
void cv::gpu::magnitude(const GpuMat& x, const GpuMat& y, GpuMat& dst, const Stream& stream)
|
|
|
|
{
|
2010-10-26 13:44:50 +08:00
|
|
|
::cartToPolar_caller(x, y, &dst, false, 0, false, StreamAccessor::getStream(stream));
|
2010-10-18 19:12:14 +08:00
|
|
|
}
|
2010-09-27 20:44:57 +08:00
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
void cv::gpu::magnitudeSqr(const GpuMat& x, const GpuMat& y, GpuMat& dst)
|
|
|
|
{
|
2010-10-26 13:44:50 +08:00
|
|
|
::cartToPolar_caller(x, y, &dst, true, 0, false, 0);
|
2010-09-27 20:44:57 +08:00
|
|
|
}
|
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
void cv::gpu::magnitudeSqr(const GpuMat& x, const GpuMat& y, GpuMat& dst, const Stream& stream)
|
2010-10-13 20:52:39 +08:00
|
|
|
{
|
2010-10-26 13:44:50 +08:00
|
|
|
::cartToPolar_caller(x, y, &dst, true, 0, false, StreamAccessor::getStream(stream));
|
2010-10-18 19:12:14 +08:00
|
|
|
}
|
2010-10-13 20:52:39 +08:00
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
void cv::gpu::phase(const GpuMat& x, const GpuMat& y, GpuMat& angle, bool angleInDegrees)
|
|
|
|
{
|
2010-10-26 13:44:50 +08:00
|
|
|
::cartToPolar_caller(x, y, 0, false, &angle, angleInDegrees, 0);
|
2010-10-18 19:12:14 +08:00
|
|
|
}
|
2010-10-13 20:52:39 +08:00
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
void cv::gpu::phase(const GpuMat& x, const GpuMat& y, GpuMat& angle, bool angleInDegrees, const Stream& stream)
|
2010-11-08 17:55:10 +08:00
|
|
|
{
|
2010-10-26 13:44:50 +08:00
|
|
|
::cartToPolar_caller(x, y, 0, false, &angle, angleInDegrees, StreamAccessor::getStream(stream));
|
2010-10-18 19:12:14 +08:00
|
|
|
}
|
2010-10-13 20:52:39 +08:00
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
void cv::gpu::cartToPolar(const GpuMat& x, const GpuMat& y, GpuMat& mag, GpuMat& angle, bool angleInDegrees)
|
|
|
|
{
|
2010-10-26 13:44:50 +08:00
|
|
|
::cartToPolar_caller(x, y, &mag, false, &angle, angleInDegrees, 0);
|
2010-10-13 20:52:39 +08:00
|
|
|
}
|
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
void cv::gpu::cartToPolar(const GpuMat& x, const GpuMat& y, GpuMat& mag, GpuMat& angle, bool angleInDegrees, const Stream& stream)
|
2010-10-13 20:52:39 +08:00
|
|
|
{
|
2010-10-26 13:44:50 +08:00
|
|
|
::cartToPolar_caller(x, y, &mag, false, &angle, angleInDegrees, StreamAccessor::getStream(stream));
|
2010-10-18 19:12:14 +08:00
|
|
|
}
|
2010-10-13 20:52:39 +08:00
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
void cv::gpu::polarToCart(const GpuMat& magnitude, const GpuMat& angle, GpuMat& x, GpuMat& y, bool angleInDegrees)
|
|
|
|
{
|
|
|
|
::polarToCart_caller(magnitude, angle, x, y, angleInDegrees, 0);
|
|
|
|
}
|
2010-10-13 20:52:39 +08:00
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
void cv::gpu::polarToCart(const GpuMat& magnitude, const GpuMat& angle, GpuMat& x, GpuMat& y, bool angleInDegrees, const Stream& stream)
|
|
|
|
{
|
|
|
|
::polarToCart_caller(magnitude, angle, x, y, angleInDegrees, StreamAccessor::getStream(stream));
|
2010-10-13 20:52:39 +08:00
|
|
|
}
|
|
|
|
|
2010-11-19 18:19:35 +08:00
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
|
|
// Per-element bit-wise logical matrix operations
|
|
|
|
|
2010-11-23 16:21:26 +08:00
|
|
|
namespace cv { namespace gpu { namespace mathfunc
|
2010-11-19 18:19:35 +08:00
|
|
|
{
|
2010-11-22 17:39:34 +08:00
|
|
|
void bitwise_not_caller(int rows, int cols, const PtrStep src, int elemSize, PtrStep dst, cudaStream_t stream);
|
|
|
|
void bitwise_not_caller(int rows, int cols, const PtrStep src, int elemSize, PtrStep dst, const PtrStep mask, cudaStream_t stream);
|
|
|
|
void bitwise_or_caller(int rows, int cols, const PtrStep src1, const PtrStep src2, int elemSize, PtrStep dst, cudaStream_t stream);
|
|
|
|
void bitwise_or_caller(int rows, int cols, const PtrStep src1, const PtrStep src2, int elemSize, PtrStep dst, const PtrStep mask, cudaStream_t stream);
|
|
|
|
void bitwise_and_caller(int rows, int cols, const PtrStep src1, const PtrStep src2, int elemSize, PtrStep dst, cudaStream_t stream);
|
|
|
|
void bitwise_and_caller(int rows, int cols, const PtrStep src1, const PtrStep src2, int elemSize, PtrStep dst, const PtrStep mask, cudaStream_t stream);
|
|
|
|
void bitwise_xor_caller(int rows, int cols, const PtrStep src1, const PtrStep src2, int elemSize, PtrStep dst, cudaStream_t stream);
|
|
|
|
void bitwise_xor_caller(int rows, int cols, const PtrStep src1, const PtrStep src2, int elemSize, PtrStep dst, const PtrStep mask, cudaStream_t stream);
|
|
|
|
|
|
|
|
|
|
|
|
template <int opid, typename Mask>
|
|
|
|
void bitwise_bin_op(int rows, int cols, const PtrStep src1, const PtrStep src2, PtrStep dst, int elem_size, Mask mask, cudaStream_t stream);
|
2010-11-19 18:19:35 +08:00
|
|
|
}}}
|
|
|
|
|
2010-11-23 16:21:26 +08:00
|
|
|
namespace
|
2010-11-19 18:19:35 +08:00
|
|
|
{
|
|
|
|
void bitwise_not_caller(const GpuMat& src, GpuMat& dst, cudaStream_t stream)
|
|
|
|
{
|
|
|
|
dst.create(src.size(), src.type());
|
2010-11-22 17:39:34 +08:00
|
|
|
mathfunc::bitwise_not_caller(src.rows, src.cols, src, src.elemSize(), dst, stream);
|
|
|
|
}
|
|
|
|
|
|
|
|
void bitwise_not_caller(const GpuMat& src, GpuMat& dst, const GpuMat& mask, cudaStream_t stream)
|
|
|
|
{
|
|
|
|
CV_Assert(mask.type() == CV_8U && mask.size() == src.size());
|
|
|
|
dst.create(src.size(), src.type());
|
|
|
|
mathfunc::bitwise_not_caller(src.rows, src.cols, src, src.elemSize(), dst, mask, stream);
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
|
|
|
|
void bitwise_or_caller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, cudaStream_t stream)
|
|
|
|
{
|
2010-11-22 17:39:34 +08:00
|
|
|
CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
|
|
|
|
dst.create(src1.size(), src1.type());
|
|
|
|
mathfunc::bitwise_or_caller(dst.rows, dst.cols, src1, src2, dst.elemSize(), dst, stream);
|
|
|
|
}
|
2010-11-19 18:19:35 +08:00
|
|
|
|
2010-11-22 17:39:34 +08:00
|
|
|
void bitwise_or_caller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, cudaStream_t stream)
|
|
|
|
{
|
|
|
|
CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
|
|
|
|
CV_Assert(mask.type() == CV_8U && mask.size() == src1.size());
|
2010-11-19 18:19:35 +08:00
|
|
|
dst.create(src1.size(), src1.type());
|
2010-11-22 17:39:34 +08:00
|
|
|
mathfunc::bitwise_or_caller(dst.rows, dst.cols, src1, src2, dst.elemSize(), dst, mask, stream);
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
|
|
|
|
void bitwise_and_caller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, cudaStream_t stream)
|
|
|
|
{
|
2010-11-22 17:39:34 +08:00
|
|
|
CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
|
|
|
|
dst.create(src1.size(), src1.type());
|
|
|
|
mathfunc::bitwise_and_caller(dst.rows, dst.cols, src1, src2, dst.elemSize(), dst, stream);
|
|
|
|
}
|
2010-11-19 18:19:35 +08:00
|
|
|
|
2010-11-22 17:39:34 +08:00
|
|
|
void bitwise_and_caller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, cudaStream_t stream)
|
|
|
|
{
|
|
|
|
CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
|
|
|
|
CV_Assert(mask.type() == CV_8U && mask.size() == src1.size());
|
2010-11-19 18:19:35 +08:00
|
|
|
dst.create(src1.size(), src1.type());
|
2010-11-22 17:39:34 +08:00
|
|
|
mathfunc::bitwise_and_caller(dst.rows, dst.cols, src1, src2, dst.elemSize(), dst, mask, stream);
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
|
|
|
|
void bitwise_xor_caller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, cudaStream_t stream)
|
|
|
|
{
|
|
|
|
CV_Assert(src1.size() == src2.size());
|
|
|
|
CV_Assert(src1.type() == src2.type());
|
2010-11-22 17:39:34 +08:00
|
|
|
dst.create(src1.size(), src1.type());
|
|
|
|
mathfunc::bitwise_xor_caller(dst.rows, dst.cols, src1, src2, dst.elemSize(), dst, stream);
|
|
|
|
}
|
2010-11-19 18:19:35 +08:00
|
|
|
|
2010-11-22 17:39:34 +08:00
|
|
|
void bitwise_xor_caller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, cudaStream_t stream)
|
|
|
|
{
|
|
|
|
CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
|
|
|
|
CV_Assert(mask.type() == CV_8U && mask.size() == src1.size());
|
2010-11-19 18:19:35 +08:00
|
|
|
dst.create(src1.size(), src1.type());
|
2010-11-22 17:39:34 +08:00
|
|
|
mathfunc::bitwise_xor_caller(dst.rows, dst.cols, src1, src2, dst.elemSize(), dst, mask, stream);
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2010-11-22 17:39:34 +08:00
|
|
|
void cv::gpu::bitwise_not(const GpuMat& src, GpuMat& dst, const GpuMat& mask)
|
2010-11-19 18:19:35 +08:00
|
|
|
{
|
2010-11-23 16:21:26 +08:00
|
|
|
if (mask.empty())
|
2010-11-22 17:39:34 +08:00
|
|
|
::bitwise_not_caller(src, dst, 0);
|
|
|
|
else
|
|
|
|
::bitwise_not_caller(src, dst, mask, 0);
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
|
2010-11-22 17:39:34 +08:00
|
|
|
void cv::gpu::bitwise_not(const GpuMat& src, GpuMat& dst, const GpuMat& mask, const Stream& stream)
|
2010-11-19 18:19:35 +08:00
|
|
|
{
|
2010-11-22 17:39:34 +08:00
|
|
|
if (mask.empty())
|
|
|
|
::bitwise_not_caller(src, dst, StreamAccessor::getStream(stream));
|
|
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|
else
|
|
|
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::bitwise_not_caller(src, dst, mask, StreamAccessor::getStream(stream));
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
|
2010-11-22 17:39:34 +08:00
|
|
|
void cv::gpu::bitwise_or(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask)
|
2010-11-19 18:19:35 +08:00
|
|
|
{
|
2010-11-22 17:39:34 +08:00
|
|
|
if (mask.empty())
|
|
|
|
::bitwise_or_caller(src1, src2, dst, 0);
|
|
|
|
else
|
|
|
|
::bitwise_or_caller(src1, src2, dst, mask, 0);
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
|
2010-11-22 17:39:34 +08:00
|
|
|
void cv::gpu::bitwise_or(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, const Stream& stream)
|
2010-11-19 18:19:35 +08:00
|
|
|
{
|
2010-11-22 17:39:34 +08:00
|
|
|
if (mask.empty())
|
|
|
|
::bitwise_or_caller(src1, src2, dst, StreamAccessor::getStream(stream));
|
|
|
|
else
|
|
|
|
::bitwise_or_caller(src1, src2, dst, mask, StreamAccessor::getStream(stream));
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
|
2010-11-22 17:39:34 +08:00
|
|
|
void cv::gpu::bitwise_and(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask)
|
2010-11-19 18:19:35 +08:00
|
|
|
{
|
2010-11-22 17:39:34 +08:00
|
|
|
if (mask.empty())
|
|
|
|
::bitwise_and_caller(src1, src2, dst, 0);
|
|
|
|
else
|
|
|
|
::bitwise_and_caller(src1, src2, dst, mask, 0);
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
|
2010-11-22 17:39:34 +08:00
|
|
|
void cv::gpu::bitwise_and(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, const Stream& stream)
|
2010-11-19 18:19:35 +08:00
|
|
|
{
|
2010-11-22 17:39:34 +08:00
|
|
|
if (mask.empty())
|
|
|
|
::bitwise_and_caller(src1, src2, dst, StreamAccessor::getStream(stream));
|
|
|
|
else
|
|
|
|
::bitwise_and_caller(src1, src2, dst, mask, StreamAccessor::getStream(stream));
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
|
2010-11-22 17:39:34 +08:00
|
|
|
void cv::gpu::bitwise_xor(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask)
|
2010-11-19 18:19:35 +08:00
|
|
|
{
|
2010-11-22 17:39:34 +08:00
|
|
|
if (mask.empty())
|
|
|
|
::bitwise_xor_caller(src1, src2, dst, 0);
|
|
|
|
else
|
|
|
|
::bitwise_xor_caller(src1, src2, dst, mask, 0);
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
|
2010-11-22 17:39:34 +08:00
|
|
|
void cv::gpu::bitwise_xor(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, const Stream& stream)
|
2010-11-19 18:19:35 +08:00
|
|
|
{
|
2010-11-22 17:39:34 +08:00
|
|
|
if (mask.empty())
|
|
|
|
::bitwise_xor_caller(src1, src2, dst, StreamAccessor::getStream(stream));
|
|
|
|
else
|
|
|
|
::bitwise_xor_caller(src1, src2, dst, mask, StreamAccessor::getStream(stream));
|
|
|
|
|
2010-11-19 18:19:35 +08:00
|
|
|
}
|
|
|
|
|
|
|
|
cv::gpu::GpuMat cv::gpu::operator ~ (const GpuMat& src)
|
|
|
|
{
|
|
|
|
GpuMat dst;
|
|
|
|
bitwise_not(src, dst);
|
|
|
|
return dst;
|
|
|
|
}
|
|
|
|
|
|
|
|
cv::gpu::GpuMat cv::gpu::operator | (const GpuMat& src1, const GpuMat& src2)
|
|
|
|
{
|
|
|
|
GpuMat dst;
|
|
|
|
bitwise_or(src1, src2, dst);
|
|
|
|
return dst;
|
|
|
|
}
|
|
|
|
|
|
|
|
cv::gpu::GpuMat cv::gpu::operator & (const GpuMat& src1, const GpuMat& src2)
|
|
|
|
{
|
|
|
|
GpuMat dst;
|
|
|
|
bitwise_and(src1, src2, dst);
|
|
|
|
return dst;
|
|
|
|
}
|
|
|
|
|
|
|
|
cv::gpu::GpuMat cv::gpu::operator ^ (const GpuMat& src1, const GpuMat& src2)
|
|
|
|
{
|
|
|
|
GpuMat dst;
|
|
|
|
bitwise_xor(src1, src2, dst);
|
|
|
|
return dst;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
2010-10-18 19:12:14 +08:00
|
|
|
#endif /* !defined (HAVE_CUDA) */
|