2010-09-27 20:27:27 +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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2010-09-20 21:20:25 +08:00
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#include "precomp.hpp"
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#include <vector>
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using namespace std;
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#if !defined (HAVE_CUDA)
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void cv::gpu::merge(const GpuMat* /*src*/, size_t /*count*/, GpuMat& /*dst*/) { throw_nogpu(); }
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void cv::gpu::merge(const vector<GpuMat>& /*src*/, GpuMat& /*dst*/) { throw_nogpu(); }
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void cv::gpu::merge(const GpuMat* /*src*/, size_t /*count*/, GpuMat& /*dst*/, const Stream& /*stream*/) { throw_nogpu(); }
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void cv::gpu::merge(const vector<GpuMat>& /*src*/, GpuMat& /*dst*/, const Stream& /*stream*/) { throw_nogpu(); }
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void cv::gpu::split(const GpuMat& /*src*/, GpuMat* /*dst*/) { throw_nogpu(); }
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void cv::gpu::split(const GpuMat& /*src*/, vector<GpuMat>& /*dst*/) { throw_nogpu(); }
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void cv::gpu::split(const GpuMat& /*src*/, GpuMat* /*dst*/, const Stream& /*stream*/) { throw_nogpu(); }
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void cv::gpu::split(const GpuMat& /*src*/, vector<GpuMat>& /*dst*/, const Stream& /*stream*/) { throw_nogpu(); }
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#else /* !defined (HAVE_CUDA) */
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namespace cv { namespace gpu { namespace split_merge
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{
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extern "C" void merge_caller(const DevMem2D* src, DevMem2D& dst,
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int total_channels, int elem_size,
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const cudaStream_t& stream);
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extern "C" void split_caller(const DevMem2D& src, DevMem2D* dst,
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int num_channels, int elem_size1,
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const cudaStream_t& stream);
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void merge(const GpuMat* src, size_t n, GpuMat& dst, const cudaStream_t& stream)
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{
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CV_Assert(src);
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CV_Assert(n > 0);
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2011-01-27 18:06:38 +08:00
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bool double_ok = TargetArchs::builtWith(NATIVE_DOUBLE) &&
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2011-01-20 23:08:48 +08:00
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hasNativeDoubleSupport(getDevice());
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CV_Assert(src[0].depth() != CV_64F || double_ok);
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2010-09-20 21:20:25 +08:00
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int depth = src[0].depth();
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Size size = src[0].size();
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bool single_channel_only = true;
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int total_channels = 0;
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for (size_t i = 0; i < n; ++i)
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{
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CV_Assert(src[i].size() == size);
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CV_Assert(src[i].depth() == depth);
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single_channel_only = single_channel_only && src[i].channels() == 1;
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total_channels += src[i].channels();
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}
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CV_Assert(single_channel_only);
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CV_Assert(total_channels <= 4);
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if (total_channels == 1)
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src[0].copyTo(dst);
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else
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{
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dst.create(size, CV_MAKETYPE(depth, total_channels));
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DevMem2D src_as_devmem[4];
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for(size_t i = 0; i < n; ++i)
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src_as_devmem[i] = src[i];
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2010-09-28 21:11:21 +08:00
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DevMem2D dst_as_devmem(dst);
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split_merge::merge_caller(src_as_devmem, dst_as_devmem,
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total_channels, CV_ELEM_SIZE(depth),
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2010-09-20 21:20:25 +08:00
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stream);
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}
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}
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void split(const GpuMat& src, GpuMat* dst, const cudaStream_t& stream)
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{
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CV_Assert(dst);
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2011-01-27 18:06:38 +08:00
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bool double_ok = TargetArchs::builtWith(NATIVE_DOUBLE) &&
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2011-01-20 23:08:48 +08:00
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hasNativeDoubleSupport(getDevice());
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CV_Assert(src.depth() != CV_64F || double_ok);
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2010-09-20 21:20:25 +08:00
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int depth = src.depth();
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int num_channels = src.channels();
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Size size = src.size();
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if (num_channels == 1)
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{
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src.copyTo(dst[0]);
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return;
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}
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for (int i = 0; i < num_channels; ++i)
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dst[i].create(src.size(), depth);
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CV_Assert(num_channels <= 4);
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DevMem2D dst_as_devmem[4];
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for (int i = 0; i < num_channels; ++i)
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dst_as_devmem[i] = dst[i];
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2010-09-28 21:11:21 +08:00
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DevMem2D src_as_devmem(src);
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split_merge::split_caller(src_as_devmem, dst_as_devmem,
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2010-09-20 21:20:25 +08:00
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num_channels, src.elemSize1(),
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stream);
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}
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}}}
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void cv::gpu::merge(const GpuMat* src, size_t n, GpuMat& dst)
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{
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split_merge::merge(src, n, dst, 0);
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}
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void cv::gpu::merge(const vector<GpuMat>& src, GpuMat& dst)
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{
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split_merge::merge(&src[0], src.size(), dst, 0);
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}
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void cv::gpu::merge(const GpuMat* src, size_t n, GpuMat& dst, const Stream& stream)
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{
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split_merge::merge(src, n, dst, StreamAccessor::getStream(stream));
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}
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void cv::gpu::merge(const vector<GpuMat>& src, GpuMat& dst, const Stream& stream)
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{
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split_merge::merge(&src[0], src.size(), dst, StreamAccessor::getStream(stream));
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}
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void cv::gpu::split(const GpuMat& src, GpuMat* dst)
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{
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split_merge::split(src, dst, 0);
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}
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void cv::gpu::split(const GpuMat& src, vector<GpuMat>& dst)
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{
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dst.resize(src.channels());
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if(src.channels() > 0)
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split_merge::split(src, &dst[0], 0);
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}
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void cv::gpu::split(const GpuMat& src, GpuMat* dst, const Stream& stream)
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{
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split_merge::split(src, dst, StreamAccessor::getStream(stream));
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}
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void cv::gpu::split(const GpuMat& src, vector<GpuMat>& dst, const Stream& stream)
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{
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dst.resize(src.channels());
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if(src.channels() > 0)
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split_merge::split(src, &dst[0], StreamAccessor::getStream(stream));
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}
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2010-09-28 21:11:21 +08:00
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#endif /* !defined (HAVE_CUDA) */
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