Merge pull request #719 from jet47:gpu-fix-build

pull/694/merge
Andrey Kamaev 12 years ago committed by OpenCV Buildbot
commit f4b98e9628
  1. 11
      modules/core/include/opencv2/core/cvdef.h
  2. 13
      modules/core/include/opencv2/core/cvstd.hpp
  3. 4
      modules/core/include/opencv2/core/utility.hpp
  4. 5
      modules/core/src/cudastream.cpp
  5. 20
      modules/core/src/gpumat.cpp
  6. 17
      modules/core/src/precomp.hpp
  7. 2
      modules/gpu/src/cascadeclassifier.cpp
  8. 14
      modules/gpu/src/cu_safe_call.cpp
  9. 5
      modules/gpu/src/cuda/bilateral_filter.cu
  10. 4
      modules/gpu/src/cuda/blend.cu
  11. 2
      modules/gpu/src/cuda/color.cu
  12. 4
      modules/gpu/src/cuda/copy_make_border.cu
  13. 4
      modules/gpu/src/cuda/disp_bilateral_filter.cu
  14. 3
      modules/gpu/src/cuda/imgproc.cu
  15. 12
      modules/gpu/src/cuda/lbp.hpp
  16. 4
      modules/gpu/src/cuda/match_template.cu
  17. 2
      modules/gpu/src/cuda/mathfunc.cu
  18. 3
      modules/gpu/src/cuda/optical_flow_farneback.cu
  19. 4
      modules/gpu/src/cuda/pyr_up.cu
  20. 2
      modules/gpu/src/cuda/remap.cu
  21. 8
      modules/gpu/src/cuda/resize.cu
  22. 2
      modules/gpu/src/cuda/split_merge.cu
  23. 4
      modules/gpu/src/cuda/stereobm.cu
  24. 4
      modules/gpu/src/cuda/stereobp.cu
  25. 2
      modules/gpu/src/cuda/warp.cu
  26. 10
      modules/gpu/src/error.cpp
  27. 18
      modules/gpu/src/nvidia/NCVHaarObjectDetection.cu
  28. 8
      modules/gpu/src/nvidia/NCVHaarObjectDetection.hpp
  29. 8
      modules/gpu/src/nvidia/core/NCV.cu
  30. 30
      modules/gpu/src/nvidia/core/NCV.hpp
  31. 2
      modules/gpu/src/precomp.hpp
  32. 4
      modules/gpu/src/video_writer.cpp
  33. 2
      modules/gpu/test/nvidia/main_nvidia.cpp
  34. 2
      modules/gpu/test/test_stream.cpp
  35. 3
      modules/nonfree/src/surf_gpu.cpp
  36. 10
      modules/softcascade/src/cuda/icf-sc.cu
  37. 2
      modules/softcascade/src/detector_cuda.cpp

@ -111,6 +111,9 @@
#define CV_CPU_NEON 11
#define CV_HARDWARE_MAX_FEATURE 255
// disable SSE/AVX/NEON headers for NVCC compiler
#ifndef __CUDACC__
#if defined __SSE2__ || defined _M_X64 || (defined _M_IX86_FP && _M_IX86_FP >= 2)
# include <emmintrin.h>
# define CV_SSE 1
@ -149,6 +152,8 @@
# define CV_NEON 1
#endif
#endif // __CUDACC__
#ifndef CV_SSE
# define CV_SSE 0
#endif
@ -336,7 +341,7 @@ typedef signed char schar;
CV_INLINE int cvRound( double value )
{
#if (defined _MSC_VER && defined _M_X64) || (defined __GNUC__ && defined __x86_64__ && defined __SSE2__ && !defined __APPLE__)
#if ((defined _MSC_VER && defined _M_X64) || (defined __GNUC__ && defined __x86_64__ && defined __SSE2__ && !defined __APPLE__)) && !defined(__CUDACC__)
__m128d t = _mm_set_sd( value );
return _mm_cvtsd_si32(t);
#elif defined _MSC_VER && defined _M_IX86
@ -361,7 +366,7 @@ CV_INLINE int cvRound( double value )
CV_INLINE int cvFloor( double value )
{
#if defined _MSC_VER && defined _M_X64 || (defined __GNUC__ && defined __SSE2__ && !defined __APPLE__)
#if (defined _MSC_VER && defined _M_X64 || (defined __GNUC__ && defined __SSE2__ && !defined __APPLE__)) && !defined(__CUDACC__)
__m128d t = _mm_set_sd( value );
int i = _mm_cvtsd_si32(t);
return i - _mm_movemask_pd(_mm_cmplt_sd(t, _mm_cvtsi32_sd(t,i)));
@ -377,7 +382,7 @@ CV_INLINE int cvFloor( double value )
CV_INLINE int cvCeil( double value )
{
#if defined _MSC_VER && defined _M_X64 || (defined __GNUC__ && defined __SSE2__&& !defined __APPLE__)
#if (defined _MSC_VER && defined _M_X64 || (defined __GNUC__ && defined __SSE2__&& !defined __APPLE__)) && !defined(__CUDACC__)
__m128d t = _mm_set_sd( value );
int i = _mm_cvtsd_si32(t);
return i + _mm_movemask_pd(_mm_cmplt_sd(_mm_cvtsi32_sd(t,i), t));

@ -52,6 +52,7 @@
#include <cstddef>
#include <cstring>
#include <cctype>
#ifndef OPENCV_NOSTL
# include <string>
@ -166,6 +167,8 @@ public:
friend String operator+ (const String& lhs, char rhs);
friend String operator+ (char lhs, const String& rhs);
String toLowerCase() const;
#ifndef OPENCV_NOSTL
String(const std::string& str);
String(const std::string& str, size_t pos, size_t len = npos);
@ -482,6 +485,16 @@ inline size_t String::find_last_of(const char* s, size_t pos) const
return npos;
}
inline String String::toLowerCase() const
{
String res(cstr_, len_);
for (size_t i = 0; i < len_; ++i)
res.cstr_[i] = (char) ::tolower(cstr_[i]);
return res;
}
// ************************* cv::String non-member functions *************************
inline String operator+ (const String& lhs, const String& rhs)

@ -358,7 +358,7 @@ AutoBuffer<_Tp, fixed_size>::AutoBuffer(const AutoBuffer<_Tp, fixed_size>& abuf
{
ptr = buf;
sz = fixed_size;
allocate(abuf.size);
allocate(abuf.size());
for( size_t i = 0; i < sz; i++ )
ptr[i] = abuf.ptr[i];
}
@ -369,7 +369,7 @@ AutoBuffer<_Tp, fixed_size>::operator = (const AutoBuffer<_Tp, fixed_size>& abuf
if( this != &abuf )
{
deallocate();
allocate(abuf.size);
allocate(abuf.size());
for( size_t i = 0; i < sz; i++ )
ptr[i] = abuf.ptr[i];
}

@ -41,7 +41,6 @@
//M*/
#include "precomp.hpp"
#include "opencv2/core/gpumat.hpp"
using namespace cv;
using namespace cv::gpu;
@ -272,7 +271,7 @@ void cv::gpu::Stream::enqueueConvert(const GpuMat& src, GpuMat& dst, int dtype,
convertTo(src, dst, alpha, beta, stream);
}
#if CUDA_VERSION >= 5000
#if CUDART_VERSION >= 5000
namespace
{
@ -295,7 +294,7 @@ namespace
void cv::gpu::Stream::enqueueHostCallback(StreamCallback callback, void* userData)
{
#if CUDA_VERSION >= 5000
#if CUDART_VERSION >= 5000
CallbackData* data = new CallbackData;
data->callback = callback;
data->userData = userData;

@ -41,24 +41,6 @@
//M*/
#include "precomp.hpp"
#include "opencv2/core/gpumat.hpp"
#include <cctype>
#ifdef HAVE_CUDA
#include <cuda_runtime.h>
#include <npp.h>
#define CUDART_MINIMUM_REQUIRED_VERSION 4020
#define NPP_MINIMUM_REQUIRED_VERSION 4200
#if (CUDART_VERSION < CUDART_MINIMUM_REQUIRED_VERSION)
#error "Insufficient Cuda Runtime library version, please update it."
#endif
#if (NPP_VERSION_MAJOR * 1000 + NPP_VERSION_MINOR * 100 + NPP_VERSION_BUILD < NPP_MINIMUM_REQUIRED_VERSION)
#error "Insufficient NPP version, please update it."
#endif
#endif
using namespace cv;
using namespace cv::gpu;
@ -233,7 +215,7 @@ namespace
int cur_value;
int chars_read;
int args_read = sscanf(set_as_str.c_str() + pos, "%d%n", &cur_value, &chars_read);
CV_Assert(args_read == 2);
CV_Assert(args_read == 1);
arr.push_back(cur_value);
pos += chars_read;

@ -51,6 +51,7 @@
#include "opencv2/core/utility.hpp"
#include "opencv2/core/core_c.h"
#include "opencv2/core/internal.hpp"
#include "opencv2/core/gpumat.hpp"
#include <assert.h>
#include <ctype.h>
@ -68,8 +69,20 @@
#endif
#ifdef HAVE_CUDA
# include <cuda_runtime_api.h>
# include "opencv2/core/gpumat.hpp"
# include <cuda_runtime.h>
# include <npp.h>
# define CUDART_MINIMUM_REQUIRED_VERSION 4020
# define NPP_MINIMUM_REQUIRED_VERSION 4200
# if (CUDART_VERSION < CUDART_MINIMUM_REQUIRED_VERSION)
# error "Insufficient Cuda Runtime library version, please update it."
# endif
# if (NPP_VERSION_MAJOR * 1000 + NPP_VERSION_MINOR * 100 + NPP_VERSION_BUILD < NPP_MINIMUM_REQUIRED_VERSION)
# error "Insufficient NPP version, please update it."
# endif
# if defined(__GNUC__)
# define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)

@ -693,7 +693,7 @@ bool cv::gpu::CascadeClassifier_GPU::load(const String& filename)
release();
String fext = filename.substr(filename.find_last_of(".") + 1);
std::transform(fext.begin(), fext.end(), fext.begin(), ::tolower);
fext = fext.toLowerCase();
if (fext == "nvbin")
{

@ -51,7 +51,7 @@ namespace
struct ErrorEntry
{
int code;
String str;
const char* str;
};
class ErrorEntryComparer
@ -65,16 +65,14 @@ namespace
int code_;
};
String getErrorString(int code, const ErrorEntry* errors, size_t n)
cv::String getErrorString(int code, const ErrorEntry* errors, size_t n)
{
size_t idx = std::find_if(errors, errors + n, ErrorEntryComparer(code)) - errors;
const String& msg = (idx != n) ? errors[idx].str : String("Unknown error code");
const char* msg = (idx != n) ? errors[idx].str : "Unknown error code";
cv::String str = cv::format("%s [Code = %d]", msg, code);
std::ostringstream ostr;
ostr << msg << " [Code = " << code << "]";
return ostr.str();
return str;
}
const ErrorEntry cu_errors [] =
@ -131,7 +129,7 @@ namespace
const size_t cu_errors_num = sizeof(cu_errors) / sizeof(cu_errors[0]);
}
String cv::gpu::detail::cuGetErrString(CUresult res)
cv::String cv::gpu::detail::cuGetErrString(CUresult res)
{
return getErrorString(res, cu_errors, cu_errors_num);
}

@ -43,8 +43,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
@ -198,4 +197,4 @@ OCV_INSTANTIATE_BILATERAL_FILTER(float3)
OCV_INSTANTIATE_BILATERAL_FILTER(float4)
#endif /* CUDA_DISABLER */
#endif /* CUDA_DISABLER */

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
namespace cv { namespace gpu { namespace device
{
@ -118,4 +118,4 @@ namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace device
#endif /* CUDA_DISABLER */
#endif /* CUDA_DISABLER */

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/transform.hpp"
#include "opencv2/gpu/device/color.hpp"
#include "cvt_color_internal.h"

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
namespace cv { namespace gpu { namespace device
@ -128,4 +128,4 @@ namespace cv { namespace gpu { namespace device
} // namespace imgproc
}}} // namespace cv { namespace gpu { namespace device
#endif /* CUDA_DISABLER */
#endif /* CUDA_DISABLER */

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/limits.hpp"
namespace cv { namespace gpu { namespace device
@ -220,4 +220,4 @@ namespace cv { namespace gpu { namespace device
} // namespace bilateral_filter
}}} // namespace cv { namespace gpu { namespace device
#endif /* CUDA_DISABLER */
#endif /* CUDA_DISABLER */

@ -42,11 +42,12 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/saturate_cast.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
#include "internal_shared.hpp"
namespace cv { namespace gpu { namespace device
{

@ -43,8 +43,8 @@
#ifndef __OPENCV_GPU_DEVICE_LBP_HPP_
#define __OPENCV_GPU_DEVICE_LBP_HPP_
#include "internal_shared.hpp"
#include <opencv2/gpu/device/emulation.hpp>
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/emulation.hpp"
namespace cv { namespace gpu { namespace device {
@ -72,10 +72,10 @@ namespace lbp {
__device__ __forceinline__ bool operator()(const int4& r1, const int4& r2) const
{
float delta = eps * (min(r1.z, r2.z) + min(r1.w, r2.w)) * 0.5f;
float delta = eps * (::min(r1.z, r2.z) + ::min(r1.w, r2.w)) * 0.5f;
return abs(r1.x - r2.x) <= delta && abs(r1.y - r2.y) <= delta
&& abs(r1.x + r1.z - r2.x - r2.z) <= delta && abs(r1.y + r1.w - r2.y - r2.w) <= delta;
return ::abs(r1.x - r2.x) <= delta && ::abs(r1.y - r2.y) <= delta
&& ::abs(r1.x + r1.z - r2.x - r2.z) <= delta && ::abs(r1.y + r1.w - r2.y - r2.w) <= delta;
}
float eps;
};
@ -109,4 +109,4 @@ namespace lbp {
} } }// namespaces
#endif
#endif

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
namespace cv { namespace gpu { namespace device
@ -913,4 +913,4 @@ namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace device
#endif /* CUDA_DISABLER */
#endif /* CUDA_DISABLER */

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
namespace cv { namespace gpu { namespace device
{

@ -42,7 +42,6 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
@ -645,4 +644,4 @@ namespace cv { namespace gpu { namespace device { namespace optflow_farneback
}}}} // namespace cv { namespace gpu { namespace device { namespace optflow_farneback
#endif /* CUDA_DISABLER */
#endif /* CUDA_DISABLER */

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
@ -193,4 +193,4 @@ namespace cv { namespace gpu { namespace device
} // namespace imgproc
}}} // namespace cv { namespace gpu { namespace device
#endif /* CUDA_DISABLER */
#endif /* CUDA_DISABLER */

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/vec_math.hpp"

@ -42,14 +42,14 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include <cfloat>
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/saturate_cast.hpp"
#include "opencv2/gpu/device/filters.hpp"
#include <cfloat>
#include <opencv2/gpu/device/scan.hpp>
#include "opencv2/gpu/device/scan.hpp"
namespace cv { namespace gpu { namespace device
{
@ -299,4 +299,4 @@ namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace device
#endif /* CUDA_DISABLER */
#endif /* CUDA_DISABLER */

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
namespace cv { namespace gpu { namespace device
{

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
namespace cv { namespace gpu { namespace device
{
@ -537,4 +537,4 @@ namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace device
#endif /* CUDA_DISABLER */
#endif /* CUDA_DISABLER */

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/saturate_cast.hpp"
#include "opencv2/gpu/device/limits.hpp"
@ -535,4 +535,4 @@ namespace cv { namespace gpu { namespace device
} // namespace stereobp
}}} // namespace cv { namespace gpu { namespace device
#endif /* CUDA_DISABLER */
#endif /* CUDA_DISABLER */

@ -42,7 +42,7 @@
#if !defined CUDA_DISABLER
#include "internal_shared.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/vec_math.hpp"

@ -54,7 +54,7 @@ namespace
struct ErrorEntry
{
int code;
String str;
const char* str;
};
struct ErrorEntryComparer
@ -68,12 +68,10 @@ namespace
{
size_t idx = std::find_if(errors, errors + n, ErrorEntryComparer(code)) - errors;
const String& msg = (idx != n) ? errors[idx].str : String("Unknown error code");
const char* msg = (idx != n) ? errors[idx].str : "Unknown error code";
String str = cv::format("%s [Code = %d]", msg, code);
std::ostringstream ostr;
ostr << msg << " [Code = " << code << "]";
return ostr.str();
return str;
}
//////////////////////////////////////////////////////////////////////////

@ -2099,7 +2099,7 @@ NCVStatus ncvGrowDetectionsVector_host(NCVVector<Ncv32u> &pixelMask,
}
NCVStatus loadFromXML(const String &filename,
NCVStatus loadFromXML(const cv::String &filename,
HaarClassifierCascadeDescriptor &haar,
std::vector<HaarStage64> &haarStages,
std::vector<HaarClassifierNode128> &haarClassifierNodes,
@ -2110,7 +2110,7 @@ NCVStatus loadFromXML(const String &filename,
#define NVBIN_HAAR_VERSION 0x1
static NCVStatus loadFromNVBIN(const String &filename,
static NCVStatus loadFromNVBIN(const cv::String &filename,
HaarClassifierCascadeDescriptor &haar,
std::vector<HaarStage64> &haarStages,
std::vector<HaarClassifierNode128> &haarClassifierNodes,
@ -2174,14 +2174,14 @@ static NCVStatus loadFromNVBIN(const String &filename,
}
NCVStatus ncvHaarGetClassifierSize(const String &filename, Ncv32u &numStages,
NCVStatus ncvHaarGetClassifierSize(const cv::String &filename, Ncv32u &numStages,
Ncv32u &numNodes, Ncv32u &numFeatures)
{
size_t readCount;
NCVStatus ncvStat;
String fext = filename.substr(filename.find_last_of(".") + 1);
std::transform(fext.begin(), fext.end(), fext.begin(), ::tolower);
cv::String fext = filename.substr(filename.find_last_of(".") + 1);
fext = fext.toLowerCase();
if (fext == "nvbin")
{
@ -2226,7 +2226,7 @@ NCVStatus ncvHaarGetClassifierSize(const String &filename, Ncv32u &numStages,
}
NCVStatus ncvHaarLoadFromFile_host(const String &filename,
NCVStatus ncvHaarLoadFromFile_host(const cv::String &filename,
HaarClassifierCascadeDescriptor &haar,
NCVVector<HaarStage64> &h_HaarStages,
NCVVector<HaarClassifierNode128> &h_HaarNodes,
@ -2238,8 +2238,8 @@ NCVStatus ncvHaarLoadFromFile_host(const String &filename,
NCVStatus ncvStat;
String fext = filename.substr(filename.find_last_of(".") + 1);
std::transform(fext.begin(), fext.end(), fext.begin(), ::tolower);
cv::String fext = filename.substr(filename.find_last_of(".") + 1);
fext = fext.toLowerCase();
std::vector<HaarStage64> haarStages;
std::vector<HaarClassifierNode128> haarNodes;
@ -2272,7 +2272,7 @@ NCVStatus ncvHaarLoadFromFile_host(const String &filename,
}
NCVStatus ncvHaarStoreNVBIN_host(const String &filename,
NCVStatus ncvHaarStoreNVBIN_host(const cv::String &filename,
HaarClassifierCascadeDescriptor haar,
NCVVector<HaarStage64> &h_HaarStages,
NCVVector<HaarClassifierNode128> &h_HaarNodes,

@ -438,18 +438,18 @@ NCV_EXPORTS NCVStatus ncvGrowDetectionsVector_host(NCVVector<Ncv32u> &pixelMask,
Ncv32f curScale);
NCV_EXPORTS NCVStatus ncvHaarGetClassifierSize(const String &filename, Ncv32u &numStages,
NCV_EXPORTS NCVStatus ncvHaarGetClassifierSize(const cv::String &filename, Ncv32u &numStages,
Ncv32u &numNodes, Ncv32u &numFeatures);
NCV_EXPORTS NCVStatus ncvHaarLoadFromFile_host(const String &filename,
NCV_EXPORTS NCVStatus ncvHaarLoadFromFile_host(const cv::String &filename,
HaarClassifierCascadeDescriptor &haar,
NCVVector<HaarStage64> &h_HaarStages,
NCVVector<HaarClassifierNode128> &h_HaarNodes,
NCVVector<HaarFeature64> &h_HaarFeatures);
NCV_EXPORTS NCVStatus ncvHaarStoreNVBIN_host(const String &filename,
NCV_EXPORTS NCVStatus ncvHaarStoreNVBIN_host(const cv::String &filename,
HaarClassifierCascadeDescriptor haar,
NCVVector<HaarStage64> &h_HaarStages,
NCVVector<HaarClassifierNode128> &h_HaarNodes,
@ -457,4 +457,4 @@ NCV_EXPORTS NCVStatus ncvHaarStoreNVBIN_host(const String &filename,
#endif // _ncvhaarobjectdetection_hpp_
#endif // _ncvhaarobjectdetection_hpp_

@ -52,16 +52,16 @@
//==============================================================================
static void stdDebugOutput(const String &msg)
static void stdDebugOutput(const cv::String &msg)
{
std::cout << msg;
std::cout << msg.c_str() << std::endl;
}
static NCVDebugOutputHandler *debugOutputHandler = stdDebugOutput;
void ncvDebugOutput(const String &msg)
void ncvDebugOutput(const cv::String &msg)
{
debugOutputHandler(msg);
}
@ -905,4 +905,4 @@ NCVStatus ncvDrawRects_32u_device(Ncv32u *d_dst,
return drawRectsWrapperDevice(d_dst, dstStride, dstWidth, dstHeight, d_rects, numRects, color, cuStream);
}
#endif /* CUDA_DISABLER */
#endif /* CUDA_DISABLER */

@ -53,8 +53,8 @@
#endif
#include <cuda_runtime.h>
#include <sstream>
#include <iostream>
#include "opencv2/core/cvstd.hpp"
#include "opencv2/core/utility.hpp"
//==============================================================================
@ -243,10 +243,10 @@ const Ncv32u K_LOG2_WARP_SIZE = 5;
//==============================================================================
NCV_EXPORTS void ncvDebugOutput(const String &msg);
NCV_EXPORTS void ncvDebugOutput(const cv::String &msg);
typedef void NCVDebugOutputHandler(const String &msg);
typedef void NCVDebugOutputHandler(const cv::String &msg);
NCV_EXPORTS void ncvSetDebugOutputHandler(NCVDebugOutputHandler* func);
@ -257,9 +257,8 @@ NCV_EXPORTS void ncvSetDebugOutputHandler(NCVDebugOutputHandler* func);
{ \
if (!(pred)) \
{ \
std::ostringstream oss; \
oss << "NCV Assertion Failed: " << msg << ", file=" << __FILE__ << ", line=" << __LINE__ << std::endl; \
ncvDebugOutput(oss.str()); \
cv::String str = cv::format("NCV Assertion Failed: %s, file=%s, line=%d", msg, __FILE__, __LINE__); \
ncvDebugOutput(str); \
} \
} while (0)
@ -273,14 +272,19 @@ NCV_EXPORTS void ncvSetDebugOutputHandler(NCVDebugOutputHandler* func);
#define ncvAssertReturn(pred, err) \
ncvAssertPrintReturn(pred, "retcode=" << (int)err, err)
do \
{ \
cv::String msg = cv::format("retcode=%d", (int)err); \
ncvAssertPrintReturn(pred, msg.c_str(), err); \
} while (0)
#define ncvAssertReturnNcvStat(ncvOp) \
do \
{ \
NCVStatus _ncvStat = ncvOp; \
ncvAssertPrintReturn(NCV_SUCCESS==_ncvStat, "NcvStat=" << (int)_ncvStat, _ncvStat); \
cv::String msg = cv::format("NcvStat=%d", (int)_ncvStat); \
ncvAssertPrintReturn(NCV_SUCCESS==_ncvStat, msg.c_str(), _ncvStat); \
} while (0)
@ -288,7 +292,8 @@ NCV_EXPORTS void ncvSetDebugOutputHandler(NCVDebugOutputHandler* func);
do \
{ \
cudaError_t res = cudacall; \
ncvAssertPrintReturn(cudaSuccess==res, "cudaError_t=" << (int)res, errCode); \
cv::String msg = cv::format("cudaError_t=%d", (int)res); \
ncvAssertPrintReturn(cudaSuccess==res, msg.c_str(), errCode); \
} while (0)
@ -296,7 +301,8 @@ NCV_EXPORTS void ncvSetDebugOutputHandler(NCVDebugOutputHandler* func);
do \
{ \
cudaError_t res = cudaGetLastError(); \
ncvAssertPrintReturn(cudaSuccess==res, "cudaError_t=" << (int)res, errCode); \
cv::String msg = cv::format("cudaError_t=%d", (int)res); \
ncvAssertPrintReturn(cudaSuccess==res, msg.c_str(), errCode); \
} while (0)
@ -805,7 +811,7 @@ public:
T& at(Ncv32u x, Ncv32u y) const
{
NcvBool bOutRange = (x >= this->_width || y >= this->_height);
ncvAssertPrintCheck(!bOutRange, "Error addressing matrix at [" << x << ", " << y << "]");
ncvAssertPrintCheck(!bOutRange, "Error addressing matrix");
if (bOutRange)
{
return *this->_ptr;

@ -65,6 +65,8 @@
#include <stdexcept>
#include <memory>
#include "opencv2/core.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/gpu.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgproc/imgproc_c.h"

@ -736,7 +736,7 @@ void NVENCAPI cv::gpu::VideoWriter_GPU::Impl::HandleOnEndFrame(const NVVE_EndFra
class EncoderCallBackFFMPEG : public cv::gpu::VideoWriter_GPU::EncoderCallBack
{
public:
EncoderCallBackFFMPEG(const String& fileName, cv::Size frameSize, double fps);
EncoderCallBackFFMPEG(const cv::String& fileName, cv::Size frameSize, double fps);
~EncoderCallBackFFMPEG();
unsigned char* acquireBitStream(int* bufferSize);
@ -799,7 +799,7 @@ namespace
}
}
EncoderCallBackFFMPEG::EncoderCallBackFFMPEG(const String& fileName, cv::Size frameSize, double fps) :
EncoderCallBackFFMPEG::EncoderCallBackFFMPEG(const cv::String& fileName, cv::Size frameSize, double fps) :
stream_(0), isKeyFrame_(false)
{
int buf_size = std::max(frameSize.area() * 4, 1024 * 1024);

@ -271,7 +271,7 @@ void generateHaarApplicationTests(NCVAutoTestLister &testLister, NCVTestSourcePr
}
}
static void devNullOutput(const std::string& msg)
static void devNullOutput(const cv::String& msg)
{
(void)msg;
}

@ -46,7 +46,7 @@
using namespace cvtest;
#if CUDA_VERSION >= 5000
#if CUDART_VERSION >= 5000
struct Async : testing::TestWithParam<cv::gpu::DeviceInfo>
{

@ -223,6 +223,9 @@ namespace
}
private:
SURF_GPU_Invoker(const SURF_GPU_Invoker&);
SURF_GPU_Invoker& operator =(const SURF_GPU_Invoker&);
SURF_GPU& surf_;
int img_cols, img_rows;

@ -82,8 +82,8 @@ typedef unsigned char uchar;
}
template<int FACTOR>
__global__ void shrink(const uchar* __restrict__ hogluv, const int inPitch,
uchar* __restrict__ shrank, const int outPitch )
__global__ void shrink(const uchar* __restrict__ hogluv, const size_t inPitch,
uchar* __restrict__ shrank, const size_t outPitch )
{
const int y = blockIdx.y * blockDim.y + threadIdx.y;
const int x = blockIdx.x * blockDim.x + threadIdx.x;
@ -127,7 +127,7 @@ typedef unsigned char uchar;
__v = static_cast<uchar>((V + 140.f) * (255.f / (122.f + 140.f )));
}
__global__ void bgr2Luv_d(const uchar* rgb, const int rgbPitch, uchar* luvg, const int luvgPitch)
__global__ void bgr2Luv_d(const uchar* rgb, const size_t rgbPitch, uchar* luvg, const size_t luvgPitch)
{
const int y = blockIdx.y * blockDim.y + threadIdx.y;
const int x = blockIdx.x * blockDim.x + threadIdx.x;
@ -256,8 +256,8 @@ typedef unsigned char uchar;
// ToDo: use textures or uncached load instruction.
__global__ void magToHist(const uchar* __restrict__ mag,
const float* __restrict__ angle, const int angPitch,
uchar* __restrict__ hog, const int hogPitch, const int fh)
const float* __restrict__ angle, const size_t angPitch,
uchar* __restrict__ hog, const size_t hogPitch, const int fh)
{
const int y = blockIdx.y * blockDim.y + threadIdx.y;
const int x = blockIdx.x * blockDim.x + threadIdx.x;

@ -274,7 +274,7 @@ struct cv::softcascade::SCascade::Fields
bool check(float mins,float maxs, int scales)
{
bool updated = ((minScale == mins) || (maxScale == maxs) || (totals = scales));
bool updated = ((minScale == mins) || (maxScale == maxs) || (totals == scales));
minScale = mins;
maxScale = maxScale;

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