mirror of
https://github.com/opencv/opencv.git
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2d30480982
removed void integral(const GpuMat& src, GpuMat& sum, GpuMat& sqsum, Stream& stream) - it fails with NPP_NOT_IMPLEMENTED error updated docs, accuracy and performance tests
175 lines
6.6 KiB
C++
175 lines
6.6 KiB
C++
/*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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#if !defined (HAVE_CUDA)
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void cv::gpu::graphcut(GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
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void cv::gpu::graphcut(GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
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#else /* !defined (HAVE_CUDA) */
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namespace
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{
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typedef NppStatus (*init_func_t)(NppiSize oSize, NppiGraphcutState** ppState, Npp8u* pDeviceMem);
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class NppiGraphcutStateHandler
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{
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public:
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NppiGraphcutStateHandler(NppiSize sznpp, Npp8u* pDeviceMem, const init_func_t func)
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{
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nppSafeCall( func(sznpp, &pState, pDeviceMem) );
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}
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~NppiGraphcutStateHandler()
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{
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nppSafeCall( nppiGraphcutFree(pState) );
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}
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operator NppiGraphcutState*()
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{
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return pState;
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}
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private:
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NppiGraphcutState* pState;
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};
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}
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void cv::gpu::graphcut(GpuMat& terminals, GpuMat& leftTransp, GpuMat& rightTransp, GpuMat& top, GpuMat& bottom, GpuMat& labels, GpuMat& buf, Stream& s)
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{
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Size src_size = terminals.size();
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CV_Assert(terminals.type() == CV_32S);
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CV_Assert(leftTransp.size() == Size(src_size.height, src_size.width));
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CV_Assert(leftTransp.type() == CV_32S);
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CV_Assert(rightTransp.size() == Size(src_size.height, src_size.width));
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CV_Assert(rightTransp.type() == CV_32S);
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CV_Assert(top.size() == src_size);
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CV_Assert(top.type() == CV_32S);
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CV_Assert(bottom.size() == src_size);
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CV_Assert(bottom.type() == CV_32S);
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labels.create(src_size, CV_8U);
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NppiSize sznpp;
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sznpp.width = src_size.width;
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sznpp.height = src_size.height;
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int bufsz;
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nppSafeCall( nppiGraphcutGetSize(sznpp, &bufsz) );
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ensureSizeIsEnough(1, bufsz, CV_8U, buf);
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cudaStream_t stream = StreamAccessor::getStream(s);
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NppStreamHandler h(stream);
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NppiGraphcutStateHandler state(sznpp, buf.ptr<Npp8u>(), nppiGraphcutInitAlloc);
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nppSafeCall( nppiGraphcut_32s8u(terminals.ptr<Npp32s>(), leftTransp.ptr<Npp32s>(), rightTransp.ptr<Npp32s>(), top.ptr<Npp32s>(), bottom.ptr<Npp32s>(),
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static_cast<int>(terminals.step), static_cast<int>(leftTransp.step), sznpp, labels.ptr<Npp8u>(), static_cast<int>(labels.step), state) );
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if (stream == 0)
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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void cv::gpu::graphcut(GpuMat& terminals, GpuMat& leftTransp, GpuMat& rightTransp, GpuMat& top, GpuMat& topLeft, GpuMat& topRight,
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GpuMat& bottom, GpuMat& bottomLeft, GpuMat& bottomRight, GpuMat& labels, GpuMat& buf, Stream& s)
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{
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Size src_size = terminals.size();
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CV_Assert(terminals.type() == CV_32S);
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CV_Assert(leftTransp.size() == Size(src_size.height, src_size.width));
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CV_Assert(leftTransp.type() == CV_32S);
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CV_Assert(rightTransp.size() == Size(src_size.height, src_size.width));
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CV_Assert(rightTransp.type() == CV_32S);
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CV_Assert(top.size() == src_size);
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CV_Assert(top.type() == CV_32S);
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CV_Assert(topLeft.size() == src_size);
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CV_Assert(topLeft.type() == CV_32S);
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CV_Assert(topRight.size() == src_size);
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CV_Assert(topRight.type() == CV_32S);
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CV_Assert(bottom.size() == src_size);
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CV_Assert(bottom.type() == CV_32S);
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CV_Assert(bottomLeft.size() == src_size);
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CV_Assert(bottomLeft.type() == CV_32S);
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CV_Assert(bottomRight.size() == src_size);
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CV_Assert(bottomRight.type() == CV_32S);
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labels.create(src_size, CV_8U);
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NppiSize sznpp;
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sznpp.width = src_size.width;
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sznpp.height = src_size.height;
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int bufsz;
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nppSafeCall( nppiGraphcut8GetSize(sznpp, &bufsz) );
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ensureSizeIsEnough(1, bufsz, CV_8U, buf);
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cudaStream_t stream = StreamAccessor::getStream(s);
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NppStreamHandler h(stream);
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NppiGraphcutStateHandler state(sznpp, buf.ptr<Npp8u>(), nppiGraphcut8InitAlloc);
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nppSafeCall( nppiGraphcut8_32s8u(terminals.ptr<Npp32s>(), leftTransp.ptr<Npp32s>(), rightTransp.ptr<Npp32s>(),
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top.ptr<Npp32s>(), topLeft.ptr<Npp32s>(), topRight.ptr<Npp32s>(),
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bottom.ptr<Npp32s>(), bottomLeft.ptr<Npp32s>(), bottomRight.ptr<Npp32s>(),
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static_cast<int>(terminals.step), static_cast<int>(leftTransp.step), sznpp, labels.ptr<Npp8u>(), static_cast<int>(labels.step), state) );
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if (stream == 0)
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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#endif /* !defined (HAVE_CUDA) */
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