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refactored cuda error handling; remove optional dependancies in soft cascade training app

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This commit is contained in:
marina.kolpakova 2013-03-14 23:06:17 +04:00
parent a476664144
commit 157a98edf7
13 changed files with 37 additions and 154 deletions
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2
apps/sft/CMakeLists.txt
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@ -1,7 +1,7 @@
set(name sft)
set(the_target opencv_${name})
set(OPENCV_${the_target}_DEPS opencv_core opencv_softcascade opencv_highgui opencv_imgproc opencv_ml OPTIONAL opencv_gpu opencv_objdetect opencv_featurest2d)
set(OPENCV_${the_target}_DEPS opencv_core opencv_softcascade opencv_highgui opencv_imgproc opencv_ml)
ocv_check_dependencies(${OPENCV_${the_target}_DEPS})
if(NOT OCV_DEPENDENCIES_FOUND)

1
doc/check_docs2.py
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@ -199,6 +199,7 @@ def process_module(module, path):
if module == "gpu":
hdrlist.append(os.path.join(path, "..", "core", "include", "opencv2", "core", "cuda_devptrs.hpp"))
hdrlist.append(os.path.join(path, "..", "core", "include", "opencv2", "core", "gpumat.hpp"))
hdrlist.append(os.path.join(path, "..", "core", "include", "opencv2", "core", "stream_accessor.hpp"))
decls = []
for hname in hdrlist:

6
modules/core/include/opencv2/core/stream_accessor.hpp
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@ -40,8 +40,8 @@
//
//M*/
#ifndef __OPENCV_GPU_STREAM_ACCESSOR_HPP__
#define __OPENCV_GPU_STREAM_ACCESSOR_HPP__
#ifndef __OPENCV_CUDA_STREAM_ACCESSOR_HPP__
#define __OPENCV_CUDA_STREAM_ACCESSOR_HPP__
#include "opencv2/core/gpumat.hpp"
#include "cuda_runtime_api.h"
@ -61,4 +61,4 @@ namespace cv
}
}
#endif /* __OPENCV_GPU_STREAM_ACCESSOR_HPP__ */
#endif /* __OPENCV_CUDA_STREAM_ACCESSOR_HPP__ */

27
modules/core/src/cudastream.cpp
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@ -74,33 +74,6 @@ void cv::gpu::Stream::release() { throw_nogpu(); }
#include "opencv2/core/stream_accessor.hpp"
namespace
{
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
#endif
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);
}
inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
{
if (err < 0)
{
std::ostringstream msg;
msg << "NPP API Call Error: " << err;
cv::gpu::error(msg.str().c_str(), file, line, func);
}
}
}
namespace cv { namespace gpu
{
void copyWithMask(const GpuMat& src, GpuMat& dst, const GpuMat& mask, cudaStream_t stream);

8
modules/core/src/gpumat.cpp
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@ -72,19 +72,11 @@ using namespace cv::gpu;
namespace
{
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
#endif
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);
}
inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
{
if (err < 0)

27
modules/core/src/matrix_operations.cpp
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@ -190,33 +190,6 @@ void cv::gpu::CudaMem::release() { CV_Error(CV_GpuNotSupported, "The library is
GpuMat cv::gpu::CudaMem::createGpuMatHeader () const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); return GpuMat(); }
#else /* !defined (HAVE_CUDA) */
#include <cuda_runtime_api.h>
namespace
{
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
#endif
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);
}
inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
{
if (err < 0)
{
std::ostringstream msg;
msg << "NPP API Call Error: " << err;
cv::gpu::error(msg.str().c_str(), file, line, func);
}
}
}
void cv::gpu::registerPageLocked(Mat& m)
{

12
modules/core/src/opengl_interop.cpp
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@ -67,18 +67,6 @@ namespace
void throw_nocuda() { CV_Error(CV_GpuNotSupported, "The library is compiled without GPU support"); }
#else
void throw_nocuda() { CV_Error(CV_StsNotImplemented, "The called functionality is disabled for current build or platform"); }
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
#endif
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
#endif
}

19
modules/core/src/precomp.hpp
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@ -66,6 +66,25 @@
#define GET_OPTIMIZED(func) (func)
#endif
#ifdef HAVE_CUDA
# include <cuda_runtime_api.h>
# include "opencv2/core/gpumat.hpp"
# if defined(__GNUC__)
# define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
# else
# 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);
}
#else
# define cudaSafeCall(expr)
#endif
namespace cv
{

5
modules/gpu/include/opencv2/gpu/gpu.hpp
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@ -7,11 +7,12 @@
// copy or use the software.
//
//
// License Agreement
// 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.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
@ -22,7 +23,7 @@
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other GpuMaterials provided with the distribution.
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.

64
modules/gpu/include/opencv2/gpu/stream_accessor.hpp
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@ -1,64 +0,0 @@
/*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.
//
//
// 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
// and/or other GpuMaterials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// 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.
//
//M*/
#ifndef __OPENCV_GPU_STREAM_ACCESSOR_HPP__
#define __OPENCV_GPU_STREAM_ACCESSOR_HPP__
#include "opencv2/gpu.hpp"
#include "cuda_runtime_api.h"
namespace cv
{
namespace gpu
{
// This is only header file that depends on Cuda. All other headers are independent.
// So if you use OpenCV binaries you do noot need to install Cuda Toolkit.
// But of you wanna use GPU by yourself, may get cuda stream instance using the class below.
// In this case you have to install Cuda Toolkit.
struct StreamAccessor
{
CV_EXPORTS static cudaStream_t getStream(const cv::gpu::Stream& stream);
};
}
}
#endif /* __OPENCV_GPU_STREAM_ACCESSOR_HPP__ */

2
modules/gpu/src/precomp.hpp
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@ -106,7 +106,7 @@
#endif
#include "internal_shared.hpp"
#include "opencv2/gpu/stream_accessor.hpp"
#include "opencv2/core/stream_accessor.hpp"
#include "nvidia/core/NCV.hpp"
#include "nvidia/NPP_staging/NPP_staging.hpp"

12
modules/softcascade/src/cuda/icf-sc.cu
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@ -44,18 +44,18 @@
#include <float.h>
#include <stdio.h>
namespace
{
namespace cv { namespace softcascade { namespace internal {
void error(const char *error_string, const char *file, const int line, const char *func);
}}}
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
#endif
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);
}
static inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
{
if (cudaSuccess != err) cv::softcascade::internal::error(cudaGetErrorString(err), file, line, func);
}
#ifndef CV_PI

6
samples/cpp/peopledetect.cpp
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@ -1,6 +1,6 @@
#include "opencv2/imgproc.hpp"
#include "opencv2/objdetect.hpp"
#include "opencv2/highgui.hpp"
#include <opencv2/imgproc.hpp>
#include <opencv2/objdetect.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/softcascade.hpp>
#include <iostream>