opencv/modules/gpu/src/graphcuts.cpp
Vladislav Vinogradov 2d30480982 created wrappers for new NPP functions
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
2012-02-22 10:00:53 +00:00

175 lines
6.6 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
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//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
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// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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#include "precomp.hpp"
#if !defined (HAVE_CUDA)
void cv::gpu::graphcut(GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::graphcut(GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
#else /* !defined (HAVE_CUDA) */
namespace
{
typedef NppStatus (*init_func_t)(NppiSize oSize, NppiGraphcutState** ppState, Npp8u* pDeviceMem);
class NppiGraphcutStateHandler
{
public:
NppiGraphcutStateHandler(NppiSize sznpp, Npp8u* pDeviceMem, const init_func_t func)
{
nppSafeCall( func(sznpp, &pState, pDeviceMem) );
}
~NppiGraphcutStateHandler()
{
nppSafeCall( nppiGraphcutFree(pState) );
}
operator NppiGraphcutState*()
{
return pState;
}
private:
NppiGraphcutState* pState;
};
}
void cv::gpu::graphcut(GpuMat& terminals, GpuMat& leftTransp, GpuMat& rightTransp, GpuMat& top, GpuMat& bottom, GpuMat& labels, GpuMat& buf, Stream& s)
{
Size src_size = terminals.size();
CV_Assert(terminals.type() == CV_32S);
CV_Assert(leftTransp.size() == Size(src_size.height, src_size.width));
CV_Assert(leftTransp.type() == CV_32S);
CV_Assert(rightTransp.size() == Size(src_size.height, src_size.width));
CV_Assert(rightTransp.type() == CV_32S);
CV_Assert(top.size() == src_size);
CV_Assert(top.type() == CV_32S);
CV_Assert(bottom.size() == src_size);
CV_Assert(bottom.type() == CV_32S);
labels.create(src_size, CV_8U);
NppiSize sznpp;
sznpp.width = src_size.width;
sznpp.height = src_size.height;
int bufsz;
nppSafeCall( nppiGraphcutGetSize(sznpp, &bufsz) );
ensureSizeIsEnough(1, bufsz, CV_8U, buf);
cudaStream_t stream = StreamAccessor::getStream(s);
NppStreamHandler h(stream);
NppiGraphcutStateHandler state(sznpp, buf.ptr<Npp8u>(), nppiGraphcutInitAlloc);
nppSafeCall( nppiGraphcut_32s8u(terminals.ptr<Npp32s>(), leftTransp.ptr<Npp32s>(), rightTransp.ptr<Npp32s>(), top.ptr<Npp32s>(), bottom.ptr<Npp32s>(),
static_cast<int>(terminals.step), static_cast<int>(leftTransp.step), sznpp, labels.ptr<Npp8u>(), static_cast<int>(labels.step), state) );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
void cv::gpu::graphcut(GpuMat& terminals, GpuMat& leftTransp, GpuMat& rightTransp, GpuMat& top, GpuMat& topLeft, GpuMat& topRight,
GpuMat& bottom, GpuMat& bottomLeft, GpuMat& bottomRight, GpuMat& labels, GpuMat& buf, Stream& s)
{
Size src_size = terminals.size();
CV_Assert(terminals.type() == CV_32S);
CV_Assert(leftTransp.size() == Size(src_size.height, src_size.width));
CV_Assert(leftTransp.type() == CV_32S);
CV_Assert(rightTransp.size() == Size(src_size.height, src_size.width));
CV_Assert(rightTransp.type() == CV_32S);
CV_Assert(top.size() == src_size);
CV_Assert(top.type() == CV_32S);
CV_Assert(topLeft.size() == src_size);
CV_Assert(topLeft.type() == CV_32S);
CV_Assert(topRight.size() == src_size);
CV_Assert(topRight.type() == CV_32S);
CV_Assert(bottom.size() == src_size);
CV_Assert(bottom.type() == CV_32S);
CV_Assert(bottomLeft.size() == src_size);
CV_Assert(bottomLeft.type() == CV_32S);
CV_Assert(bottomRight.size() == src_size);
CV_Assert(bottomRight.type() == CV_32S);
labels.create(src_size, CV_8U);
NppiSize sznpp;
sznpp.width = src_size.width;
sznpp.height = src_size.height;
int bufsz;
nppSafeCall( nppiGraphcut8GetSize(sznpp, &bufsz) );
ensureSizeIsEnough(1, bufsz, CV_8U, buf);
cudaStream_t stream = StreamAccessor::getStream(s);
NppStreamHandler h(stream);
NppiGraphcutStateHandler state(sznpp, buf.ptr<Npp8u>(), nppiGraphcut8InitAlloc);
nppSafeCall( nppiGraphcut8_32s8u(terminals.ptr<Npp32s>(), leftTransp.ptr<Npp32s>(), rightTransp.ptr<Npp32s>(),
top.ptr<Npp32s>(), topLeft.ptr<Npp32s>(), topRight.ptr<Npp32s>(),
bottom.ptr<Npp32s>(), bottomLeft.ptr<Npp32s>(), bottomRight.ptr<Npp32s>(),
static_cast<int>(terminals.step), static_cast<int>(leftTransp.step), sznpp, labels.ptr<Npp8u>(), static_cast<int>(labels.step), state) );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
#endif /* !defined (HAVE_CUDA) */