Commit 22f5376e authored by Anatoly Baksheev's avatar Anatoly Baksheev

refactoring and minor code improvements

added cuda_shared.hpp header was reorganized in order to speed up compilation
parent c13df09f
...@@ -25,7 +25,7 @@ file(GLOB lib_srcs "src/*.cpp") ...@@ -25,7 +25,7 @@ file(GLOB lib_srcs "src/*.cpp")
file(GLOB lib_int_hdrs "src/*.h*") file(GLOB lib_int_hdrs "src/*.h*")
file(GLOB lib_cuda "src/cuda/*.cu*") file(GLOB lib_cuda "src/cuda/*.cu*")
file(GLOB lib_cuda_hdrs "src/cuda/*.h*") file(GLOB lib_cuda_hdrs "src/cuda/*.h*")
source_group("Src" FILES ${lib_srcs} ${lib_int_hdrs}) source_group("Src\\Host" FILES ${lib_srcs} ${lib_int_hdrs})
source_group("Src\\Cuda" FILES ${lib_cuda} ${lib_cuda_hdrs}) source_group("Src\\Cuda" FILES ${lib_cuda} ${lib_cuda_hdrs})
file(GLOB lib_hdrs "include/opencv2/${name}/*.h*") file(GLOB lib_hdrs "include/opencv2/${name}/*.h*")
......
...@@ -65,6 +65,7 @@ namespace cv ...@@ -65,6 +65,7 @@ namespace cv
//////////////////////////////// GpuMat //////////////////////////////// //////////////////////////////// GpuMat ////////////////////////////////
class CudaStream; class CudaStream;
class MatPL;
//! Smart pointer for GPU memory with reference counting. Its interface is mostly similar with cv::Mat. //! Smart pointer for GPU memory with reference counting. Its interface is mostly similar with cv::Mat.
class CV_EXPORTS GpuMat class CV_EXPORTS GpuMat
...@@ -107,12 +108,12 @@ namespace cv ...@@ -107,12 +108,12 @@ namespace cv
//! pefroms blocking upload data to GpuMat. . //! pefroms blocking upload data to GpuMat. .
void upload(const cv::Mat& m); void upload(const cv::Mat& m);
void upload(const cv::Mat& m, CudaStream & stream); void upload(const MatPL& m, CudaStream& stream);
//! Downloads data from device to host memory. Blocking calls. //! Downloads data from device to host memory. Blocking calls.
operator Mat() const; operator Mat() const;
void download(cv::Mat& m) const; void download(cv::Mat& m) const;
void download(cv::Mat& m, CudaStream & stream) const; void download(MatPL& m, CudaStream& stream) const;
//! returns a new GpuMatrix header for the specified row //! returns a new GpuMatrix header for the specified row
GpuMat row(int y) const; GpuMat row(int y) const;
......
...@@ -44,6 +44,7 @@ ...@@ -44,6 +44,7 @@
#define __OPENCV_CUDA_SHARED_HPP__ #define __OPENCV_CUDA_SHARED_HPP__
#include "opencv2/gpu/devmem2d.hpp" #include "opencv2/gpu/devmem2d.hpp"
#include "safe_call.hpp"
#include "cuda_runtime_api.h" #include "cuda_runtime_api.h"
namespace cv namespace cv
...@@ -55,32 +56,19 @@ namespace cv ...@@ -55,32 +56,19 @@ namespace cv
typedef unsigned short ushort; typedef unsigned short ushort;
typedef unsigned int uint; typedef unsigned int uint;
extern "C" void error( const char *error_string, const char *file, const int line, const char *func = "");
namespace impl namespace impl
{ {
static inline int divUp(int a, int b) { return (a % b == 0) ? a/b : a/b + 1; } static inline int divUp(int a, int b) { return (a % b == 0) ? a/b : a/b + 1; }
extern "C" void copy_to_with_mask(const DevMem2D& mat_src, const DevMem2D& mat_dst, int depth, const DevMem2D& mask, int channels, const cudaStream_t & stream = 0); extern "C" void copy_to_with_mask(const DevMem2D& src, DevMem2D dst, int depth, const DevMem2D& mask, int channels, const cudaStream_t & stream = 0);
extern "C" void set_to_without_mask (const DevMem2D& mat, int depth, const double * scalar, int channels, const cudaStream_t & stream = 0); extern "C" void set_to_without_mask (DevMem2D dst, int depth, const double *scalar, int channels, const cudaStream_t & stream = 0);
extern "C" void set_to_with_mask (const DevMem2D& mat, int depth, const double * scalar, const DevMem2D& mask, int channels, const cudaStream_t & stream = 0); extern "C" void set_to_with_mask (DevMem2D dst, int depth, const double *scalar, const DevMem2D& mask, int channels, const cudaStream_t & stream = 0);
extern "C" void convert_to(const DevMem2D& src, int sdepth, DevMem2D dst, int ddepth, size_t width, size_t height, double alpha, double beta, const cudaStream_t & stream = 0); extern "C" void convert_to(const DevMem2D& src, int sdepth, DevMem2D dst, int ddepth, int channels, double alpha, double beta, const cudaStream_t & stream = 0);
} }
} }
} }
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__);
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
#endif
static inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
{
if( cudaSuccess != err)
cv::gpu::error(cudaGetErrorString(err), file, line, func);
}
#endif /* __OPENCV_CUDA_SHARED_HPP__ */ #endif /* __OPENCV_CUDA_SHARED_HPP__ */
This diff is collapsed.
/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
// By downloading, copying, installing or using the software you agree to this license.
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// copy or use the software.
//
//
// 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.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
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// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
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//M*/
#ifndef __OPENCV_CUDA_SAFE_CALL_HPP__
#define __OPENCV_CUDA_SAFE_CALL_HPP__
#include "cuda_runtime_api.h"
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__);
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
#endif
namespace cv
{
namespace gpu
{
extern "C" void error( const char *error_string, const char *file, const int line, const char *func = "");
static inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
{
if( cudaSuccess != err)
cv::gpu::error(cudaGetErrorString(err), file, line, func);
}
}
}
#endif /* __OPENCV_CUDA_SAFE_CALL_HPP__ */
\ No newline at end of file
...@@ -44,4 +44,10 @@ ...@@ -44,4 +44,10 @@
#define __OPENCV_GPU_SATURATE_CAST_HPP__ #define __OPENCV_GPU_SATURATE_CAST_HPP__
template<class F,T>
__device__ void saturate_cast<T>(F)
{
}
#endif /* __OPENCV_GPU_SATURATE_CAST_HPP__ */ #endif /* __OPENCV_GPU_SATURATE_CAST_HPP__ */
\ No newline at end of file
...@@ -40,7 +40,12 @@ ...@@ -40,7 +40,12 @@
// //
//M*/ //M*/
#include "cuda_shared.hpp" //#include "cuda_shared.hpp"
#include "opencv2/gpu/devmem2d.hpp"
#include "safe_call.hpp"
static inline int divUp(int a, int b) { return (a % b == 0) ? a/b : a/b + 1; }
using namespace cv::gpu; using namespace cv::gpu;
...@@ -392,7 +397,7 @@ namespace cv { namespace gpu { namespace impl ...@@ -392,7 +397,7 @@ namespace cv { namespace gpu { namespace impl
{ {
extern "C" void prefilter_xsobel(const DevMem2D& input, const DevMem2D& output, int prefilterCap) extern "C" void prefilter_xsobel(const DevMem2D& input, const DevMem2D& output, int prefilterCap)
{ {
cudaChannelFormatDesc desc = cudaCreateChannelDesc<uchar>(); cudaChannelFormatDesc desc = cudaCreateChannelDesc<unsigned char>();
cudaSafeCall( cudaBindTexture2D( 0, stereobm_gpu::texForSobel, input.ptr, desc, input.cols, input.rows, input.step ) ); cudaSafeCall( cudaBindTexture2D( 0, stereobm_gpu::texForSobel, input.ptr, desc, input.cols, input.rows, input.step ) );
dim3 threads(16, 16, 1); dim3 threads(16, 16, 1);
...@@ -520,7 +525,7 @@ namespace cv { namespace gpu { namespace impl ...@@ -520,7 +525,7 @@ namespace cv { namespace gpu { namespace impl
stereobm_gpu::texForTF.addressMode[0] = cudaAddressModeWrap; stereobm_gpu::texForTF.addressMode[0] = cudaAddressModeWrap;
stereobm_gpu::texForTF.addressMode[1] = cudaAddressModeWrap; stereobm_gpu::texForTF.addressMode[1] = cudaAddressModeWrap;
cudaChannelFormatDesc desc = cudaCreateChannelDesc<uchar>(); cudaChannelFormatDesc desc = cudaCreateChannelDesc<unsigned char>();
cudaSafeCall( cudaBindTexture2D( 0, stereobm_gpu::texForTF, input.ptr, desc, input.cols, input.rows, input.step ) ); cudaSafeCall( cudaBindTexture2D( 0, stereobm_gpu::texForTF, input.ptr, desc, input.cols, input.rows, input.step ) );
dim3 threads(128, 1, 1); dim3 threads(128, 1, 1);
......
...@@ -41,7 +41,6 @@ ...@@ -41,7 +41,6 @@
//M*/ //M*/
#include "precomp.hpp" #include "precomp.hpp"
#include "cuda_shared.hpp"
using namespace cv; using namespace cv;
using namespace cv::gpu; using namespace cv::gpu;
...@@ -159,12 +158,12 @@ void cv::gpu::CudaStream::enqueueCopy(const GpuMat& src, GpuMat& dst) { devcopy( ...@@ -159,12 +158,12 @@ void cv::gpu::CudaStream::enqueueCopy(const GpuMat& src, GpuMat& dst) { devcopy(
void cv::gpu::CudaStream::enqueueMemSet(const GpuMat& src, Scalar val) void cv::gpu::CudaStream::enqueueMemSet(const GpuMat& src, Scalar val)
{ {
cv::gpu::impl::set_to_without_mask(src, src.depth(), val.val, src.channels(), impl->stream); impl::set_to_without_mask(src, src.depth(), val.val, src.channels(), impl->stream);
} }
void cv::gpu::CudaStream::enqueueMemSet(const GpuMat& src, Scalar val, const GpuMat& mask) void cv::gpu::CudaStream::enqueueMemSet(const GpuMat& src, Scalar val, const GpuMat& mask)
{ {
cv::gpu::impl::set_to_with_mask(src, src.depth(), val.val, mask, src.channels(), impl->stream); impl::set_to_with_mask(src, src.depth(), val.val, mask, src.channels(), impl->stream);
} }
void cv::gpu::CudaStream::enqueueConvert(const GpuMat& src, GpuMat& dst, int rtype, double alpha, double beta) void cv::gpu::CudaStream::enqueueConvert(const GpuMat& src, GpuMat& dst, int rtype, double alpha, double beta)
...@@ -189,7 +188,7 @@ void cv::gpu::CudaStream::enqueueConvert(const GpuMat& src, GpuMat& dst, int rty ...@@ -189,7 +188,7 @@ void cv::gpu::CudaStream::enqueueConvert(const GpuMat& src, GpuMat& dst, int rty
psrc = &(temp = src); psrc = &(temp = src);
dst.create( src.size(), rtype ); dst.create( src.size(), rtype );
cv::gpu::impl::convert_to(*psrc, sdepth, dst, ddepth, psrc->cols * psrc->channels(), psrc->rows, alpha, beta, impl->stream); impl::convert_to(*psrc, sdepth, dst, ddepth, psrc->channels(), alpha, beta, impl->stream);
} }
......
...@@ -47,7 +47,7 @@ using namespace cv::gpu; ...@@ -47,7 +47,7 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA) #if !defined (HAVE_CUDA)
cv::gpu::remap(const GpuMat& /*src*/, const GpuMat& /*xmap*/, const GpuMat& /*ymap*/, GpuMat& /*dst*/) { throw_nogpu(); } void cv::gpu::remap(const GpuMat& /*src*/, const GpuMat& /*xmap*/, const GpuMat& /*ymap*/, GpuMat& /*dst*/) { throw_nogpu(); }
#else /* !defined (HAVE_CUDA) */ #else /* !defined (HAVE_CUDA) */
......
...@@ -73,10 +73,8 @@ namespace cv ...@@ -73,10 +73,8 @@ namespace cv
} }
#else /* !defined (HAVE_CUDA) */ #else /* !defined (HAVE_CUDA) */
void cv::gpu::GpuMat::upload(const Mat& m) void cv::gpu::GpuMat::upload(const Mat& m)
{ {
CV_DbgAssert(!m.empty()); CV_DbgAssert(!m.empty());
...@@ -84,7 +82,7 @@ void cv::gpu::GpuMat::upload(const Mat& m) ...@@ -84,7 +82,7 @@ void cv::gpu::GpuMat::upload(const Mat& m)
cudaSafeCall( cudaMemcpy2D(data, step, m.data, m.step, cols * elemSize(), rows, cudaMemcpyHostToDevice) ); cudaSafeCall( cudaMemcpy2D(data, step, m.data, m.step, cols * elemSize(), rows, cudaMemcpyHostToDevice) );
} }
void cv::gpu::GpuMat::upload(const cv::Mat& m, CudaStream & stream) void cv::gpu::GpuMat::upload(const MatPL& m, CudaStream& stream)
{ {
CV_DbgAssert(!m.empty()); CV_DbgAssert(!m.empty());
stream.enqueueUpload(m, *this); stream.enqueueUpload(m, *this);
...@@ -97,7 +95,7 @@ void cv::gpu::GpuMat::download(cv::Mat& m) const ...@@ -97,7 +95,7 @@ void cv::gpu::GpuMat::download(cv::Mat& m) const
cudaSafeCall( cudaMemcpy2D(m.data, m.step, data, step, cols * elemSize(), rows, cudaMemcpyDeviceToHost) ); cudaSafeCall( cudaMemcpy2D(m.data, m.step, data, step, cols * elemSize(), rows, cudaMemcpyDeviceToHost) );
} }
void cv::gpu::GpuMat::download(cv::Mat& m, CudaStream & stream) const void cv::gpu::GpuMat::download(MatPL& m, CudaStream& stream) const
{ {
CV_DbgAssert(!m.empty()); CV_DbgAssert(!m.empty());
stream.enqueueDownload(*this, m); stream.enqueueDownload(*this, m);
...@@ -115,12 +113,12 @@ void cv::gpu::GpuMat::copyTo( GpuMat& mat, const GpuMat& mask ) const ...@@ -115,12 +113,12 @@ void cv::gpu::GpuMat::copyTo( GpuMat& mat, const GpuMat& mask ) const
{ {
if (mask.empty()) if (mask.empty())
{ {
this->copyTo(mat); copyTo(mat);
} }
else else
{ {
mat.create(this->size(), this->type()); mat.create(size(), type());
cv::gpu::impl::copy_to_with_mask(*this, mat, this->depth() , mask, this->channels()); cv::gpu::impl::copy_to_with_mask(*this, mat, depth(), mask, channels());
} }
} }
...@@ -146,12 +144,12 @@ void cv::gpu::GpuMat::convertTo( GpuMat& dst, int rtype, double alpha, double be ...@@ -146,12 +144,12 @@ void cv::gpu::GpuMat::convertTo( GpuMat& dst, int rtype, double alpha, double be
psrc = &(temp = *this); psrc = &(temp = *this);
dst.create( size(), rtype ); dst.create( size(), rtype );
impl::convert_to(*psrc, sdepth, dst, ddepth, psrc->cols * psrc->channels(), psrc->rows, alpha, beta); impl::convert_to(*psrc, sdepth, dst, ddepth, psrc->channels(), alpha, beta);
} }
GpuMat& GpuMat::operator = (const Scalar& s) GpuMat& GpuMat::operator = (const Scalar& s)
{ {
cv::gpu::impl::set_to_without_mask( *this, this->depth(), s.val, this->channels()); cv::gpu::impl::set_to_without_mask( *this, depth(), s.val, channels());
return *this; return *this;
} }
...@@ -162,13 +160,9 @@ GpuMat& GpuMat::setTo(const Scalar& s, const GpuMat& mask) ...@@ -162,13 +160,9 @@ GpuMat& GpuMat::setTo(const Scalar& s, const GpuMat& mask)
CV_DbgAssert(!this->empty()); CV_DbgAssert(!this->empty());
if (mask.empty()) if (mask.empty())
{ impl::set_to_without_mask( *this, depth(), s.val, channels());
cv::gpu::impl::set_to_without_mask( *this, this->depth(), s.val, this->channels());
}
else else
{ impl::set_to_with_mask( *this, depth(), s.val, mask, channels());
cv::gpu::impl::set_to_with_mask( *this, this->depth(), s.val, mask, this->channels());
}
return *this; return *this;
} }
......
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