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Merge pull request #761 from jet47:gpu-core-refactoring

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pull/783/merge
Andrey Kamaev 12 years ago committed by OpenCV Buildbot
parent e8107610d1 a783f5c260
commit 2cd67cc92b
169 changed files with 1730 additions and 2019 deletions
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  1. 16
      cmake/OpenCVModule.cmake
  2. 12
      modules/core/CMakeLists.txt
  3. 4
      modules/core/include/opencv2/core/cuda/block.hpp
  4. 4
      modules/core/include/opencv2/core/cuda/border_interpolate.hpp
  5. 4
      modules/core/include/opencv2/core/cuda/color.hpp
  6. 60
      modules/core/include/opencv2/core/cuda/common.hpp
  7. 4
      modules/core/include/opencv2/core/cuda/datamov_utils.hpp
  8. 70
      modules/core/include/opencv2/core/cuda/detail/color_detail.hpp
  9. 2
      modules/core/include/opencv2/core/cuda/detail/reduce.hpp
  10. 2
      modules/core/include/opencv2/core/cuda/detail/reduce_key_val.hpp
  11. 8
      modules/core/include/opencv2/core/cuda/detail/transform_detail.hpp
  12. 4
      modules/core/include/opencv2/core/cuda/detail/type_traits_detail.hpp
  13. 4
      modules/core/include/opencv2/core/cuda/detail/vec_distance_detail.hpp
  14. 2
      modules/core/include/opencv2/core/cuda/dynamic_smem.hpp
  15. 4
      modules/core/include/opencv2/core/cuda/emulation.hpp
  16. 4
      modules/core/include/opencv2/core/cuda/filters.hpp
  17. 4
      modules/core/include/opencv2/core/cuda/funcattrib.hpp
  18. 4
      modules/core/include/opencv2/core/cuda/functional.hpp
  19. 4
      modules/core/include/opencv2/core/cuda/limits.hpp
  20. 2
      modules/core/include/opencv2/core/cuda/reduce.hpp
  21. 2
      modules/core/include/opencv2/core/cuda/saturate_cast.hpp
  22. 14
      modules/core/include/opencv2/core/cuda/scan.hpp
  23. 2
      modules/core/include/opencv2/core/cuda/simd_functions.hpp
  24. 2
      modules/core/include/opencv2/core/cuda/transform.hpp
  25. 2
      modules/core/include/opencv2/core/cuda/type_traits.hpp
  26. 4
      modules/core/include/opencv2/core/cuda/utility.hpp
  27. 4
      modules/core/include/opencv2/core/cuda/vec_distance.hpp
  28. 4
      modules/core/include/opencv2/core/cuda/vec_math.hpp
  29. 4
      modules/core/include/opencv2/core/cuda/vec_traits.hpp
  30. 4
      modules/core/include/opencv2/core/cuda/warp.hpp
  31. 4
      modules/core/include/opencv2/core/cuda/warp_reduce.hpp
  32. 2
      modules/core/include/opencv2/core/cuda/warp_shuffle.hpp
  33. 21
      modules/core/include/opencv2/core/cuda_devptrs.hpp
  34. 143
      modules/core/include/opencv2/core/gpu_private.hpp
  35. 5
      modules/core/include/opencv2/core/gpumat.hpp
  36. 15
      modules/core/include/opencv2/core/stream_accessor.hpp
  37. 20
      modules/core/src/cuda/matrix_operations.cu
  38. 41
      modules/core/src/cudastream.cpp
  39. 281
      modules/core/src/gpumat.cpp
  40. 38
      modules/core/src/matrix_operations.cpp
  41. 100
      modules/core/src/opengl_interop.cpp
  42. 33
      modules/core/src/precomp.hpp
  43. 6
      modules/gpu/CMakeLists.txt
  44. 67
      modules/gpu/include/opencv2/gpu/device/static_check.hpp
  45. 6
      modules/gpu/perf/perf_precomp.hpp
  46. 32
      modules/gpu/src/arithm.cpp
  47. 12
      modules/gpu/src/bgfg_gmg.cpp
  48. 28
      modules/gpu/src/bgfg_mog.cpp
  49. 10
      modules/gpu/src/bilateral_filter.cpp
  50. 6
      modules/gpu/src/blend.cpp
  51. 76
      modules/gpu/src/brute_force_matcher.cpp
  52. 10
      modules/gpu/src/calib3d.cpp
  53. 24
      modules/gpu/src/cascadeclassifier.cpp
  54. 170
      modules/gpu/src/color.cpp
  55. 137
      modules/gpu/src/cu_safe_call.cpp
  56. 67
      modules/gpu/src/cu_safe_call.h
  57. 4
      modules/gpu/src/cuda/NV12ToARGB.cu
  58. 20
      modules/gpu/src/cuda/bf_knnmatch.cu
  59. 18
      modules/gpu/src/cuda/bf_match.cu
  60. 14
      modules/gpu/src/cuda/bf_radius_match.cu
  61. 8
      modules/gpu/src/cuda/bgfg_gmg.cu
  62. 10
      modules/gpu/src/cuda/bgfg_mog.cu
  63. 12
      modules/gpu/src/cuda/bilateral_filter.cu
  64. 6
      modules/gpu/src/cuda/blend.cu
  65. 16
      modules/gpu/src/cuda/calib3d.cu
  66. 16
      modules/gpu/src/cuda/canny.cu
  67. 10
      modules/gpu/src/cuda/ccomponetns.cu
  68. 14
      modules/gpu/src/cuda/clahe.cu
  69. 12
      modules/gpu/src/cuda/color.cu
  70. 10
      modules/gpu/src/cuda/column_filter.h
  71. 8
      modules/gpu/src/cuda/copy_make_border.cu
  72. 16
      modules/gpu/src/cuda/debayer.cu
  73. 10
      modules/gpu/src/cuda/disp_bilateral_filter.cu
  74. 182
      modules/gpu/src/cuda/element_operations.cu
  75. 6
      modules/gpu/src/cuda/fast.cu
  76. 14
      modules/gpu/src/cuda/fgd_bgfg.cu
  77. 24
      modules/gpu/src/cuda/gftt.cu
  78. 4
      modules/gpu/src/cuda/global_motion.cu
  79. 14
      modules/gpu/src/cuda/hist.cu
  80. 14
      modules/gpu/src/cuda/hog.cu
  81. 14
      modules/gpu/src/cuda/hough.cu
  82. 14
      modules/gpu/src/cuda/imgproc.cu
  83. 4
      modules/gpu/src/cuda/integral_image.cu
  84. 29
      modules/gpu/src/cuda/internal_shared.hpp
  85. 6
      modules/gpu/src/cuda/lbp.cu
  86. 6
      modules/gpu/src/cuda/lbp.hpp
  87. 8
      modules/gpu/src/cuda/match_template.cu
  88. 6
      modules/gpu/src/cuda/mathfunc.cu
  89. 42
      modules/gpu/src/cuda/matrix_reductions.cu
  90. 24
      modules/gpu/src/cuda/nlm.cu
  91. 10
      modules/gpu/src/cuda/optflowbm.cu
  92. 4
      modules/gpu/src/cuda/optical_flow.cu
  93. 8
      modules/gpu/src/cuda/optical_flow_farneback.cu
  94. 8
      modules/gpu/src/cuda/orb.cu
  95. 14
      modules/gpu/src/cuda/pyr_down.cu
  96. 14
      modules/gpu/src/cuda/pyr_up.cu
  97. 14
      modules/gpu/src/cuda/pyrlk.cu
  98. 18
      modules/gpu/src/cuda/remap.cu
  99. 20
      modules/gpu/src/cuda/resize.cu
  100. 6
      modules/gpu/src/cuda/rgb_to_yv12.cu
  101. Some files were not shown because too many files have changed in this diff Show More

16
cmake/OpenCVModule.cmake
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@ -432,16 +432,16 @@ macro(ocv_glob_module_sources)
file(GLOB lib_hdrs "include/opencv2/*.hpp" "include/opencv2/${name}/*.hpp" "include/opencv2/${name}/*.h")
file(GLOB lib_hdrs_detail "include/opencv2/${name}/detail/*.hpp" "include/opencv2/${name}/detail/*.h")
file(GLOB lib_device_srcs "src/cuda/*.cu")
set(device_objs "")
set(lib_device_hdrs "")
file(GLOB lib_cuda_srcs "src/cuda/*.cu")
set(cuda_objs "")
set(lib_cuda_hdrs "")
if (HAVE_CUDA AND lib_device_srcs)
if(HAVE_CUDA AND lib_cuda_srcs)
ocv_include_directories(${CUDA_INCLUDE_DIRS})
file(GLOB lib_device_hdrs "src/cuda/*.hpp")
file(GLOB lib_cuda_hdrs "src/cuda/*.hpp")
ocv_cuda_compile(device_objs ${lib_device_srcs} ${lib_device_hdrs})
source_group("Src\\Cuda" FILES ${lib_device_srcs} ${lib_device_hdrs})
ocv_cuda_compile(cuda_objs ${lib_cuda_srcs} ${lib_cuda_hdrs})
source_group("Src\\Cuda" FILES ${lib_cuda_srcs} ${lib_cuda_hdrs})
endif()
file(GLOB cl_kernels "src/opencl/*.cl")
@ -457,7 +457,7 @@ macro(ocv_glob_module_sources)
endif()
ocv_set_module_sources(${ARGN} HEADERS ${lib_hdrs} ${lib_hdrs_detail}
SOURCES ${lib_srcs} ${lib_int_hdrs} ${device_objs} ${lib_device_srcs} ${lib_device_hdrs})
SOURCES ${lib_srcs} ${lib_int_hdrs} ${cuda_objs} ${lib_cuda_srcs} ${lib_cuda_hdrs})
source_group("Src" FILES ${lib_srcs} ${lib_int_hdrs})
source_group("Include" FILES ${lib_hdrs})

12
modules/core/CMakeLists.txt
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@ -1,12 +1,20 @@
set(the_description "The Core Functionality")
ocv_add_module(core ${ZLIB_LIBRARIES})
ocv_module_include_directories(${ZLIB_INCLUDE_DIR} "${OpenCV_SOURCE_DIR}/modules/gpu/include")
ocv_module_include_directories(${ZLIB_INCLUDE_DIR})
if(HAVE_CUDA)
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wundef)
endif()
ocv_glob_module_sources(SOURCES "${opencv_core_BINARY_DIR}/version_string.inc")
file(GLOB lib_cuda_hdrs "include/opencv2/${name}/cuda/*.hpp" "include/opencv2/${name}/cuda/*.h")
file(GLOB lib_cuda_hdrs_detail "include/opencv2/${name}/cuda/detail/*.hpp" "include/opencv2/${name}/cuda/detail/*.h")
source_group("Cuda Headers" FILES ${lib_cuda_hdrs})
source_group("Cuda Headers\\Detail" FILES ${lib_cuda_hdrs_detail})
ocv_glob_module_sources(SOURCES "${opencv_core_BINARY_DIR}/version_string.inc"
HEADERS ${lib_cuda_hdrs} ${lib_cuda_hdrs_detail})
ocv_create_module()
ocv_add_precompiled_headers(${the_module})

4
modules/gpu/include/opencv2/gpu/device/block.hpp → modules/core/include/opencv2/core/cuda/block.hpp
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@ -43,7 +43,7 @@
#ifndef __OPENCV_GPU_DEVICE_BLOCK_HPP__
#define __OPENCV_GPU_DEVICE_BLOCK_HPP__
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
struct Block
{
@ -201,5 +201,3 @@ namespace cv { namespace gpu { namespace device
}}}
#endif /* __OPENCV_GPU_DEVICE_BLOCK_HPP__ */

4
modules/gpu/include/opencv2/gpu/device/border_interpolate.hpp → modules/core/include/opencv2/core/cuda/border_interpolate.hpp
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@ -47,7 +47,7 @@
#include "vec_traits.hpp"
#include "vec_math.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
//////////////////////////////////////////////////////////////
// BrdConstant
@ -709,6 +709,6 @@ namespace cv { namespace gpu { namespace device
const int width;
const D val;
};
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_BORDER_INTERPOLATE_HPP__

4
modules/gpu/include/opencv2/gpu/device/color.hpp → modules/core/include/opencv2/core/cuda/color.hpp
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@ -45,7 +45,7 @@
#include "detail/color_detail.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
// All OPENCV_GPU_IMPLEMENT_*_TRAITS(ColorSpace1_to_ColorSpace2, ...) macros implements
// template <typename T> class ColorSpace1_to_ColorSpace2_traits
@ -296,6 +296,6 @@ namespace cv { namespace gpu { namespace device
OPENCV_GPU_IMPLEMENT_Luv2RGB_TRAITS(luv4_to_lbgra, 4, 4, false, 0)
#undef OPENCV_GPU_IMPLEMENT_Luv2RGB_TRAITS
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_BORDER_INTERPOLATE_HPP__

60
modules/gpu/include/opencv2/gpu/device/common.hpp → modules/core/include/opencv2/core/cuda/common.hpp
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@ -45,10 +45,8 @@
#include <cuda_runtime.h>
#include "opencv2/core/cuda_devptrs.hpp"
#ifndef CV_PI
#define CV_PI 3.1415926535897932384626433832795
#endif
#include "opencv2/core/cvdef.h"
#include "opencv2/core/base.hpp"
#ifndef CV_PI_F
#ifndef CV_PI
@ -58,16 +56,24 @@
#endif
#endif
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
namespace cv { namespace gpu {
static inline void checkCudaError(cudaError_t err, const char* file, const int line, const char* func)
{
if (cudaSuccess != err)
cv::error(cv::Error::GpuApiCallError, cudaGetErrorString(err), func, file, line);
}
}}
#ifndef cudaSafeCall
#if defined(__GNUC__)
#define cudaSafeCall(expr) cv::gpu::checkCudaError(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) cv::gpu::checkCudaError(expr, __FILE__, __LINE__, "")
#endif
#endif
namespace cv { namespace gpu
{
void error(const char *error_string, const char *file, const int line, const char *func);
template <typename T> static inline bool isAligned(const T* ptr, size_t size)
{
return reinterpret_cast<size_t>(ptr) % size == 0;
@ -79,37 +85,29 @@ namespace cv { namespace gpu
}
}}
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);
}
namespace cv { namespace gpu
{
__host__ __device__ __forceinline__ int divUp(int total, int grain)
enum
{
return (total + grain - 1) / grain;
}
namespace device
BORDER_REFLECT101_GPU = 0,
BORDER_REPLICATE_GPU,
BORDER_CONSTANT_GPU,
BORDER_REFLECT_GPU,
BORDER_WRAP_GPU
};
namespace cudev
{
using cv::gpu::divUp;
#ifdef __CUDACC__
typedef unsigned char uchar;
typedef unsigned short ushort;
typedef signed char schar;
#if defined (_WIN32) || defined (__APPLE__)
typedef unsigned int uint;
#endif
__host__ __device__ __forceinline__ int divUp(int total, int grain)
{
return (total + grain - 1) / grain;
}
template<class T> inline void bindTexture(const textureReference* tex, const PtrStepSz<T>& img)
{
cudaChannelFormatDesc desc = cudaCreateChannelDesc<T>();
cudaSafeCall( cudaBindTexture2D(0, tex, img.ptr(), &desc, img.cols, img.rows, img.step) );
}
#endif // __CUDACC__
}
}}

4
modules/gpu/include/opencv2/gpu/device/datamov_utils.hpp → modules/core/include/opencv2/core/cuda/datamov_utils.hpp
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@ -45,7 +45,7 @@
#include "common.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
#if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 200
@ -100,6 +100,6 @@ namespace cv { namespace gpu { namespace device
#undef OPENCV_GPU_ASM_PTR
#endif // __CUDA_ARCH__ >= 200
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_DATAMOV_UTILS_HPP__

70
modules/gpu/include/opencv2/gpu/device/detail/color_detail.hpp → modules/core/include/opencv2/core/cuda/detail/color_detail.hpp
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@ -49,7 +49,7 @@
#include "../limits.hpp"
#include "../functional.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
#ifndef CV_DESCALE
#define CV_DESCALE(x, n) (((x) + (1 << ((n)-1))) >> (n))
@ -149,7 +149,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB2RGB_TRAITS(name, scn, dcn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2RGB<T, scn, dcn, bidx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2RGB<T, scn, dcn, bidx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -222,7 +222,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB2RGB5x5_TRAITS(name, scn, bidx, green_bits) \
struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2RGB5x5<scn, bidx, green_bits> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2RGB5x5<scn, bidx, green_bits> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -303,7 +303,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB5x52RGB_TRAITS(name, dcn, bidx, green_bits) \
struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB5x52RGB<dcn, bidx, green_bits> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB5x52RGB<dcn, bidx, green_bits> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -350,7 +350,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_GRAY2RGB_TRAITS(name, dcn) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::Gray2RGB<T, dcn> functor_type; \
typedef ::cv::gpu::cudev::color_detail::Gray2RGB<T, dcn> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -392,7 +392,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_GRAY2RGB5x5_TRAITS(name, green_bits) \
struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::Gray2RGB5x5<green_bits> functor_type; \
typedef ::cv::gpu::cudev::color_detail::Gray2RGB5x5<green_bits> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -434,7 +434,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB5x52GRAY_TRAITS(name, green_bits) \
struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB5x52Gray<green_bits> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB5x52Gray<green_bits> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -486,7 +486,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB2GRAY_TRAITS(name, scn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2Gray<T, scn, bidx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2Gray<T, scn, bidx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -539,7 +539,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB2YUV_TRAITS(name, scn, dcn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2YUV<T, scn, dcn, bidx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2YUV<T, scn, dcn, bidx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -629,7 +629,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_YUV2RGB_TRAITS(name, scn, dcn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::YUV2RGB<T, scn, dcn, bidx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::YUV2RGB<T, scn, dcn, bidx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -710,7 +710,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB2YCrCb_TRAITS(name, scn, dcn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2YCrCb<T, scn, dcn, bidx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2YCrCb<T, scn, dcn, bidx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -791,7 +791,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_YCrCb2RGB_TRAITS(name, scn, dcn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::YCrCb2RGB<T, scn, dcn, bidx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::YCrCb2RGB<T, scn, dcn, bidx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -869,7 +869,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB2XYZ_TRAITS(name, scn, dcn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2XYZ<T, scn, dcn, bidx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2XYZ<T, scn, dcn, bidx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -946,7 +946,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_XYZ2RGB_TRAITS(name, scn, dcn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::XYZ2RGB<T, scn, dcn, bidx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::XYZ2RGB<T, scn, dcn, bidx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1086,7 +1086,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB2HSV_TRAITS(name, scn, dcn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2HSV<T, scn, dcn, bidx, 180> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2HSV<T, scn, dcn, bidx, 180> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1094,7 +1094,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <typename T> struct name ## _full_traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2HSV<T, scn, dcn, bidx, 256> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2HSV<T, scn, dcn, bidx, 256> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1102,7 +1102,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <> struct name ## _traits<float> \
{ \
typedef ::cv::gpu::device::color_detail::RGB2HSV<float, scn, dcn, bidx, 360> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2HSV<float, scn, dcn, bidx, 360> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1110,7 +1110,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <> struct name ## _full_traits<float> \
{ \
typedef ::cv::gpu::device::color_detail::RGB2HSV<float, scn, dcn, bidx, 360> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2HSV<float, scn, dcn, bidx, 360> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1228,7 +1228,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_HSV2RGB_TRAITS(name, scn, dcn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::HSV2RGB<T, scn, dcn, bidx, 180> functor_type; \
typedef ::cv::gpu::cudev::color_detail::HSV2RGB<T, scn, dcn, bidx, 180> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1236,7 +1236,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <typename T> struct name ## _full_traits \
{ \
typedef ::cv::gpu::device::color_detail::HSV2RGB<T, scn, dcn, bidx, 255> functor_type; \
typedef ::cv::gpu::cudev::color_detail::HSV2RGB<T, scn, dcn, bidx, 255> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1244,7 +1244,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <> struct name ## _traits<float> \
{ \
typedef ::cv::gpu::device::color_detail::HSV2RGB<float, scn, dcn, bidx, 360> functor_type; \
typedef ::cv::gpu::cudev::color_detail::HSV2RGB<float, scn, dcn, bidx, 360> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1252,7 +1252,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <> struct name ## _full_traits<float> \
{ \
typedef ::cv::gpu::device::color_detail::HSV2RGB<float, scn, dcn, bidx, 360> functor_type; \
typedef ::cv::gpu::cudev::color_detail::HSV2RGB<float, scn, dcn, bidx, 360> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1363,7 +1363,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB2HLS_TRAITS(name, scn, dcn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2HLS<T, scn, dcn, bidx, 180> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2HLS<T, scn, dcn, bidx, 180> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1371,7 +1371,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <typename T> struct name ## _full_traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2HLS<T, scn, dcn, bidx, 256> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2HLS<T, scn, dcn, bidx, 256> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1379,7 +1379,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <> struct name ## _traits<float> \
{ \
typedef ::cv::gpu::device::color_detail::RGB2HLS<float, scn, dcn, bidx, 360> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2HLS<float, scn, dcn, bidx, 360> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1387,7 +1387,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <> struct name ## _full_traits<float> \
{ \
typedef ::cv::gpu::device::color_detail::RGB2HLS<float, scn, dcn, bidx, 360> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2HLS<float, scn, dcn, bidx, 360> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1505,7 +1505,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_HLS2RGB_TRAITS(name, scn, dcn, bidx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::HLS2RGB<T, scn, dcn, bidx, 180> functor_type; \
typedef ::cv::gpu::cudev::color_detail::HLS2RGB<T, scn, dcn, bidx, 180> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1513,7 +1513,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <typename T> struct name ## _full_traits \
{ \
typedef ::cv::gpu::device::color_detail::HLS2RGB<T, scn, dcn, bidx, 255> functor_type; \
typedef ::cv::gpu::cudev::color_detail::HLS2RGB<T, scn, dcn, bidx, 255> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1521,7 +1521,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <> struct name ## _traits<float> \
{ \
typedef ::cv::gpu::device::color_detail::HLS2RGB<float, scn, dcn, bidx, 360> functor_type; \
typedef ::cv::gpu::cudev::color_detail::HLS2RGB<float, scn, dcn, bidx, 360> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1529,7 +1529,7 @@ namespace cv { namespace gpu { namespace device
}; \
template <> struct name ## _full_traits<float> \
{ \
typedef ::cv::gpu::device::color_detail::HLS2RGB<float, scn, dcn, bidx, 360> functor_type; \
typedef ::cv::gpu::cudev::color_detail::HLS2RGB<float, scn, dcn, bidx, 360> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1674,7 +1674,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB2Lab_TRAITS(name, scn, dcn, srgb, blueIdx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2Lab<T, scn, dcn, srgb, blueIdx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2Lab<T, scn, dcn, srgb, blueIdx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1787,7 +1787,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_Lab2RGB_TRAITS(name, scn, dcn, srgb, blueIdx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::Lab2RGB<T, scn, dcn, srgb, blueIdx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::Lab2RGB<T, scn, dcn, srgb, blueIdx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1886,7 +1886,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_RGB2Luv_TRAITS(name, scn, dcn, srgb, blueIdx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::RGB2Luv<T, scn, dcn, srgb, blueIdx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::RGB2Luv<T, scn, dcn, srgb, blueIdx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1987,7 +1987,7 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_IMPLEMENT_Luv2RGB_TRAITS(name, scn, dcn, srgb, blueIdx) \
template <typename T> struct name ## _traits \
{ \
typedef ::cv::gpu::device::color_detail::Luv2RGB<T, scn, dcn, srgb, blueIdx> functor_type; \
typedef ::cv::gpu::cudev::color_detail::Luv2RGB<T, scn, dcn, srgb, blueIdx> functor_type; \
static __host__ __device__ __forceinline__ functor_type create_functor() \
{ \
return functor_type(); \
@ -1996,6 +1996,6 @@ namespace cv { namespace gpu { namespace device
#undef CV_DESCALE
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_COLOR_DETAIL_HPP__

2
modules/gpu/include/opencv2/gpu/device/detail/reduce.hpp → modules/core/include/opencv2/core/cuda/detail/reduce.hpp
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@ -47,7 +47,7 @@
#include "../warp.hpp"
#include "../warp_shuffle.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace reduce_detail
{

2
modules/gpu/include/opencv2/gpu/device/detail/reduce_key_val.hpp → modules/core/include/opencv2/core/cuda/detail/reduce_key_val.hpp
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@ -47,7 +47,7 @@
#include "../warp.hpp"
#include "../warp_shuffle.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace reduce_key_val_detail
{

8
modules/gpu/include/opencv2/gpu/device/detail/transform_detail.hpp → modules/core/include/opencv2/core/cuda/detail/transform_detail.hpp
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@ -47,7 +47,7 @@
#include "../vec_traits.hpp"
#include "../functional.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace transform_detail
{
@ -345,7 +345,7 @@ namespace cv { namespace gpu { namespace device
{
typedef TransformFunctorTraits<UnOp> ft;
StaticAssert<ft::smart_shift != 1>::check();
CV_StaticAssert(ft::smart_shift != 1, "");
if (!isAligned(src.data, ft::smart_shift * sizeof(T)) || !isAligned(src.step, ft::smart_shift * sizeof(T)) ||
!isAligned(dst.data, ft::smart_shift * sizeof(D)) || !isAligned(dst.step, ft::smart_shift * sizeof(D)))
@ -369,7 +369,7 @@ namespace cv { namespace gpu { namespace device
{
typedef TransformFunctorTraits<BinOp> ft;
StaticAssert<ft::smart_shift != 1>::check();
CV_StaticAssert(ft::smart_shift != 1, "");
if (!isAligned(src1.data, ft::smart_shift * sizeof(T1)) || !isAligned(src1.step, ft::smart_shift * sizeof(T1)) ||
!isAligned(src2.data, ft::smart_shift * sizeof(T2)) || !isAligned(src2.step, ft::smart_shift * sizeof(T2)) ||
@ -390,6 +390,6 @@ namespace cv { namespace gpu { namespace device
}
};
} // namespace transform_detail
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_TRANSFORM_DETAIL_HPP__

4
modules/gpu/include/opencv2/gpu/device/detail/type_traits_detail.hpp → modules/core/include/opencv2/core/cuda/detail/type_traits_detail.hpp
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@ -46,7 +46,7 @@
#include "../common.hpp"
#include "../vec_traits.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace type_traits_detail
{
@ -182,6 +182,6 @@ namespace cv { namespace gpu { namespace device
enum { value = 1 };
};
} // namespace type_traits_detail
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_TYPE_TRAITS_DETAIL_HPP__

4
modules/gpu/include/opencv2/gpu/device/detail/vec_distance_detail.hpp → modules/core/include/opencv2/core/cuda/detail/vec_distance_detail.hpp
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@ -45,7 +45,7 @@
#include "../datamov_utils.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace vec_distance_detail
{
@ -112,6 +112,6 @@ namespace cv { namespace gpu { namespace device
}
};
} // namespace vec_distance_detail
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_VEC_DISTANCE_DETAIL_HPP__

2
modules/gpu/include/opencv2/gpu/device/dynamic_smem.hpp → modules/core/include/opencv2/core/cuda/dynamic_smem.hpp
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@ -43,7 +43,7 @@
#ifndef __OPENCV_GPU_DYNAMIC_SMEM_HPP__
#define __OPENCV_GPU_DYNAMIC_SMEM_HPP__
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template<class T> struct DynamicSharedMem
{

4
modules/gpu/include/opencv2/gpu/device/emulation.hpp → modules/core/include/opencv2/core/cuda/emulation.hpp
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@ -45,7 +45,7 @@
#include "warp_reduce.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
struct Emulation
{
@ -133,6 +133,6 @@ namespace cv { namespace gpu { namespace device
}
};
};
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* OPENCV_GPU_EMULATION_HPP_ */

4
modules/gpu/include/opencv2/gpu/device/filters.hpp → modules/core/include/opencv2/core/cuda/filters.hpp
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@ -48,7 +48,7 @@
#include "vec_math.hpp"
#include "type_traits.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename Ptr2D> struct PointFilter
{
@ -273,6 +273,6 @@ namespace cv { namespace gpu { namespace device
float scale_x, scale_y;
int width, haight;
};
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_FILTERS_HPP__

4
modules/gpu/include/opencv2/gpu/device/funcattrib.hpp → modules/core/include/opencv2/core/cuda/funcattrib.hpp
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@ -45,7 +45,7 @@
#include <cstdio>
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template<class Func>
void printFuncAttrib(Func& func)
@ -66,6 +66,6 @@ namespace cv { namespace gpu { namespace device
printf("\n");
fflush(stdout);
}
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* __OPENCV_GPU_DEVICE_FUNCATTRIB_HPP_ */

4
modules/gpu/include/opencv2/gpu/device/functional.hpp → modules/core/include/opencv2/core/cuda/functional.hpp
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@ -49,7 +49,7 @@
#include "type_traits.hpp"
#include "device_functions.h"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
// Function Objects
template<typename Argument, typename Result> struct unary_function : public std::unary_function<Argument, Result> {};
@ -786,6 +786,6 @@ namespace cv { namespace gpu { namespace device
#define OPENCV_GPU_TRANSFORM_FUNCTOR_TRAITS(type) \
template <> struct TransformFunctorTraits< type > : DefaultTransformFunctorTraits< type >
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_FUNCTIONAL_HPP__

4
modules/gpu/include/opencv2/gpu/device/limits.hpp → modules/core/include/opencv2/core/cuda/limits.hpp
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@ -46,7 +46,7 @@
#include <limits>
#include "common.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template<class T> struct numeric_limits
{
@ -230,6 +230,6 @@ namespace cv { namespace gpu { namespace device
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = true;
};
}}} // namespace cv { namespace gpu { namespace device {
}}} // namespace cv { namespace gpu { namespace cudev {
#endif // __OPENCV_GPU_LIMITS_GPU_HPP__

2
modules/gpu/include/opencv2/gpu/device/reduce.hpp → modules/core/include/opencv2/core/cuda/reduce.hpp
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@ -47,7 +47,7 @@
#include "detail/reduce.hpp"
#include "detail/reduce_key_val.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <int N, typename T, class Op>
__device__ __forceinline__ void reduce(volatile T* smem, T& val, unsigned int tid, const Op& op)

2
modules/gpu/include/opencv2/gpu/device/saturate_cast.hpp → modules/core/include/opencv2/core/cuda/saturate_cast.hpp
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@ -45,7 +45,7 @@
#include "common.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template<typename _Tp> __device__ __forceinline__ _Tp saturate_cast(uchar v) { return _Tp(v); }
template<typename _Tp> __device__ __forceinline__ _Tp saturate_cast(schar v) { return _Tp(v); }

14
modules/gpu/include/opencv2/gpu/device/scan.hpp → modules/core/include/opencv2/core/cuda/scan.hpp
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@ -43,12 +43,12 @@
#ifndef __OPENCV_GPU_SCAN_HPP__
#define __OPENCV_GPU_SCAN_HPP__
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/utility.hpp"
#include "opencv2/gpu/device/warp.hpp"
#include "opencv2/gpu/device/warp_shuffle.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/utility.hpp"
#include "opencv2/core/cuda/warp.hpp"
#include "opencv2/core/cuda/warp_shuffle.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
enum ScanKind { EXCLUSIVE = 0, INCLUSIVE = 1 };
@ -174,13 +174,13 @@ namespace cv { namespace gpu { namespace device
__device__ T warpScanInclusive(T idata, volatile T* s_Data, unsigned int tid)
{
#if __CUDA_ARCH__ >= 300
const unsigned int laneId = cv::gpu::device::Warp::laneId();
const unsigned int laneId = cv::gpu::cudev::Warp::laneId();
// scan on shuffl functions
#pragma unroll
for (int i = 1; i <= (OPENCV_GPU_WARP_SIZE / 2); i *= 2)
{
const T n = cv::gpu::device::shfl_up(idata, i);
const T n = cv::gpu::cudev::shfl_up(idata, i);
if (laneId >= i)
idata += n;
}

2
modules/gpu/include/opencv2/gpu/device/simd_functions.hpp → modules/core/include/opencv2/core/cuda/simd_functions.hpp
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@ -123,7 +123,7 @@
vmin4(a,b) per-byte unsigned minimum: min(a, b)
*/
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
// 2

2
modules/gpu/include/opencv2/gpu/device/transform.hpp → modules/core/include/opencv2/core/cuda/transform.hpp
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@ -47,7 +47,7 @@
#include "utility.hpp"
#include "detail/transform_detail.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T, typename D, typename UnOp, typename Mask>
static inline void transform(PtrStepSz<T> src, PtrStepSz<D> dst, UnOp op, const Mask& mask, cudaStream_t stream)

2
modules/gpu/include/opencv2/gpu/device/type_traits.hpp → modules/core/include/opencv2/core/cuda/type_traits.hpp
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@ -45,7 +45,7 @@
#include "detail/type_traits_detail.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct IsSimpleParameter
{

4
modules/gpu/include/opencv2/gpu/device/utility.hpp → modules/core/include/opencv2/core/cuda/utility.hpp
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@ -46,7 +46,7 @@
#include "saturate_cast.hpp"
#include "datamov_utils.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
#define OPENCV_GPU_LOG_WARP_SIZE (5)
#define OPENCV_GPU_WARP_SIZE (1 << OPENCV_GPU_LOG_WARP_SIZE)
@ -208,6 +208,6 @@ namespace cv { namespace gpu { namespace device
return false;
}
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_UTILITY_HPP__

4
modules/gpu/include/opencv2/gpu/device/vec_distance.hpp → modules/core/include/opencv2/core/cuda/vec_distance.hpp
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@ -47,7 +47,7 @@
#include "functional.hpp"
#include "detail/vec_distance_detail.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct L1Dist
{
@ -219,6 +219,6 @@ namespace cv { namespace gpu { namespace device
U vec1Vals[MAX_LEN / THREAD_DIM];
};
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_VEC_DISTANCE_HPP__

4
modules/gpu/include/opencv2/gpu/device/vec_math.hpp → modules/core/include/opencv2/core/cuda/vec_math.hpp
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@ -47,7 +47,7 @@
#include "vec_traits.hpp"
#include "functional.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace vec_math_detail
{
@ -325,6 +325,6 @@ namespace cv { namespace gpu { namespace device
#undef OPENCV_GPU_IMPLEMENT_VEC_BINOP
#undef OPENCV_GPU_IMPLEMENT_VEC_OP
#undef OPENCV_GPU_IMPLEMENT_VEC_INT_OP
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_VECMATH_HPP__

4
modules/gpu/include/opencv2/gpu/device/vec_traits.hpp → modules/core/include/opencv2/core/cuda/vec_traits.hpp
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@ -45,7 +45,7 @@
#include "common.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template<typename T, int N> struct TypeVec;
@ -275,6 +275,6 @@ namespace cv { namespace gpu { namespace device
static __device__ __host__ __forceinline__ char8 make(schar a0, schar a1, schar a2, schar a3, schar a4, schar a5, schar a6, schar a7) {return make_char8(a0, a1, a2, a3, a4, a5, a6, a7);}
static __device__ __host__ __forceinline__ char8 make(const schar* v) {return make_char8(v[0], v[1], v[2], v[3], v[4], v[5], v[6], v[7]);}
};
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif // __OPENCV_GPU_VEC_TRAITS_HPP__

4
modules/gpu/include/opencv2/gpu/device/warp.hpp → modules/core/include/opencv2/core/cuda/warp.hpp
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@ -43,7 +43,7 @@
#ifndef __OPENCV_GPU_DEVICE_WARP_HPP__
#define __OPENCV_GPU_DEVICE_WARP_HPP__
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
struct Warp
{
@ -126,6 +126,6 @@ namespace cv { namespace gpu { namespace device
*t = value;
}
};
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* __OPENCV_GPU_DEVICE_WARP_HPP__ */

4
modules/gpu/include/opencv2/gpu/device/warp_reduce.hpp → modules/core/include/opencv2/core/cuda/warp_reduce.hpp
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@ -43,7 +43,7 @@
#ifndef OPENCV_GPU_WARP_REDUCE_HPP__
#define OPENCV_GPU_WARP_REDUCE_HPP__
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <class T>
__device__ __forceinline__ T warp_reduce(volatile T *ptr , const unsigned int tid = threadIdx.x)
@ -63,6 +63,6 @@ namespace cv { namespace gpu { namespace device
return ptr[tid - lane];
}
}}} // namespace cv { namespace gpu { namespace device {
}}} // namespace cv { namespace gpu { namespace cudev {
#endif /* OPENCV_GPU_WARP_REDUCE_HPP__ */

2
modules/gpu/include/opencv2/gpu/device/warp_shuffle.hpp → modules/core/include/opencv2/core/cuda/warp_shuffle.hpp
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@ -43,7 +43,7 @@
#ifndef __OPENCV_GPU_WARP_SHUFFLE_HPP__
#define __OPENCV_GPU_WARP_SHUFFLE_HPP__
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T>
__device__ __forceinline__ T shfl(T val, int srcLane, int width = warpSize)

21
modules/core/include/opencv2/core/cuda_devptrs.hpp
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@ -58,9 +58,6 @@ namespace cv
// Simple lightweight structures that encapsulates information about an image on device.
// It is intended to pass to nvcc-compiled code. GpuMat depends on headers that nvcc can't compile
template <bool expr> struct StaticAssert;
template <> struct StaticAssert<true> {static __CV_GPU_HOST_DEVICE__ void check(){}};
template<typename T> struct DevPtr
{
typedef T elem_type;
@ -148,24 +145,6 @@ namespace cv
typedef DevMem2Db DevMem2D;
typedef DevMem2D_<float> DevMem2Df;
typedef DevMem2D_<int> DevMem2Di;
//#undef __CV_GPU_DEPR_BEFORE__
//#undef __CV_GPU_DEPR_AFTER__
namespace device
{
using cv::gpu::PtrSz;
using cv::gpu::PtrStep;
using cv::gpu::PtrStepSz;
using cv::gpu::PtrStepSzb;
using cv::gpu::PtrStepSzf;
using cv::gpu::PtrStepSzi;
using cv::gpu::PtrStepb;
using cv::gpu::PtrStepf;
using cv::gpu::PtrStepi;
}
}
}

143
modules/core/include/opencv2/core/gpu_private.hpp
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@ -0,0 +1,143 @@
/*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.
// 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,
// 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 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.
//
// 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_CORE_GPU_PRIVATE_HPP__
#define __OPENCV_CORE_GPU_PRIVATE_HPP__
#ifndef __OPENCV_BUILD
# error this is a private header which should not be used from outside of the OpenCV library
#endif
#include "cvconfig.h"
#include "opencv2/core/cvdef.h"
#include "opencv2/core/base.hpp"
#ifdef HAVE_CUDA
# include <cuda.h>
# include <cuda_runtime.h>
# include <npp.h>
# include "opencv2/core/stream_accessor.hpp"
# include "opencv2/core/cuda/common.hpp"
# define CUDART_MINIMUM_REQUIRED_VERSION 4020
# if (CUDART_VERSION < CUDART_MINIMUM_REQUIRED_VERSION)
# error "Insufficient Cuda Runtime library version, please update it."
# endif
# if defined(CUDA_ARCH_BIN_OR_PTX_10)
# error "OpenCV GPU module doesn't support NVIDIA compute capability 1.0"
# endif
#endif
namespace cv { namespace gpu {
CV_EXPORTS cv::String getNppErrorMessage(int code);
CV_EXPORTS cv::String getCudaDriverApiErrorMessage(int code);
// Converts CPU border extrapolation mode into GPU internal analogue.
// Returns true if the GPU analogue exists, false otherwise.
CV_EXPORTS bool tryConvertToGpuBorderType(int cpuBorderType, int& gpuBorderType);
}}
#ifndef HAVE_CUDA
static inline void throw_no_cuda() { CV_Error(cv::Error::GpuNotSupported, "The library is compiled without GPU support"); }
#else // HAVE_CUDA
static inline void throw_no_cuda() { CV_Error(cv::Error::StsNotImplemented, "The called functionality is disabled for current build or platform"); }
namespace cv { namespace gpu
{
static inline void checkNppError(int code, const char* file, const int line, const char* func)
{
if (code < 0)
cv::error(cv::Error::GpuApiCallError, getNppErrorMessage(code), func, file, line);
}
static inline void checkCudaDriverApiError(int code, const char* file, const int line, const char* func)
{
if (code != CUDA_SUCCESS)
cv::error(cv::Error::GpuApiCallError, getCudaDriverApiErrorMessage(code), func, file, line);
}
template<int n> struct NPPTypeTraits;
template<> struct NPPTypeTraits<CV_8U> { typedef Npp8u npp_type; };
template<> struct NPPTypeTraits<CV_8S> { typedef Npp8s npp_type; };
template<> struct NPPTypeTraits<CV_16U> { typedef Npp16u npp_type; };
template<> struct NPPTypeTraits<CV_16S> { typedef Npp16s npp_type; };
template<> struct NPPTypeTraits<CV_32S> { typedef Npp32s npp_type; };
template<> struct NPPTypeTraits<CV_32F> { typedef Npp32f npp_type; };
template<> struct NPPTypeTraits<CV_64F> { typedef Npp64f npp_type; };
class NppStreamHandler
{
public:
inline explicit NppStreamHandler(cudaStream_t newStream)
{
oldStream = nppGetStream();
nppSetStream(newStream);
}
inline ~NppStreamHandler()
{
nppSetStream(oldStream);
}
private:
cudaStream_t oldStream;
};
}}
#if defined(__GNUC__)
#define nppSafeCall(expr) cv::gpu::checkNppError(expr, __FILE__, __LINE__, __func__)
#define cuSafeCall(expr) cv::gpu::checkCudaDriverApiError(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define nppSafeCall(expr) cv::gpu::checkNppError(expr, __FILE__, __LINE__, "")
#define cuSafeCall(expr) cv::gpu::checkCudaDriverApiError(expr, __FILE__, __LINE__, "")
#endif
#endif // HAVE_CUDA
#endif // __OPENCV_CORE_GPU_PRIVATE_HPP__

5
modules/core/include/opencv2/core/gpumat.hpp
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@ -454,11 +454,6 @@ CV_EXPORTS void ensureSizeIsEnough(int rows, int cols, int type, GpuMat& m);
CV_EXPORTS GpuMat allocMatFromBuf(int rows, int cols, int type, GpuMat &mat);
////////////////////////////////////////////////////////////////////////
// Error handling
CV_EXPORTS void error(const char* error_string, const char* file, const int line, const char* func = "");
////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////

15
modules/core/include/opencv2/core/stream_accessor.hpp
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@ -43,17 +43,20 @@
#ifndef __OPENCV_CUDA_STREAM_ACCESSOR_HPP__
#define __OPENCV_CUDA_STREAM_ACCESSOR_HPP__
#include "opencv2/core/gpumat.hpp"
#include "cuda_runtime_api.h"
#include <cuda_runtime.h>
#include "opencv2/core/cvdef.h"
// 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.
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.
class Stream;
struct StreamAccessor
{
CV_EXPORTS static cudaStream_t getStream(const Stream& stream);

20
modules/core/src/cuda/matrix_operations.cu
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@ -40,12 +40,12 @@
//
//M*/
#include "opencv2/gpu/device/saturate_cast.hpp"
#include "opencv2/gpu/device/transform.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/type_traits.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
#include "opencv2/core/cuda/transform.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/type_traits.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
void writeScalar(const uchar*);
void writeScalar(const schar*);
@ -58,7 +58,7 @@ namespace cv { namespace gpu { namespace device
void convert_gpu(PtrStepSzb, int, PtrStepSzb, int, double, double, cudaStream_t);
}}}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct shift_and_sizeof;
template <> struct shift_and_sizeof<signed char> { enum { shift = 0 }; };
@ -76,9 +76,9 @@ namespace cv { namespace gpu { namespace device
template <typename T> void copyToWithMask(PtrStepSzb src, PtrStepSzb dst, int cn, PtrStepSzb mask, bool colorMask, cudaStream_t stream)
{
if (colorMask)
cv::gpu::device::transform((PtrStepSz<T>)src, (PtrStepSz<T>)dst, identity<T>(), SingleMask(mask), stream);
cv::gpu::cudev::transform((PtrStepSz<T>)src, (PtrStepSz<T>)dst, identity<T>(), SingleMask(mask), stream);
else
cv::gpu::device::transform((PtrStepSz<T>)src, (PtrStepSz<T>)dst, identity<T>(), SingleMaskChannels(mask, cn), stream);
cv::gpu::cudev::transform((PtrStepSz<T>)src, (PtrStepSz<T>)dst, identity<T>(), SingleMaskChannels(mask, cn), stream);
}
void copyToWithMask_gpu(PtrStepSzb src, PtrStepSzb dst, size_t elemSize1, int cn, PtrStepSzb mask, bool colorMask, cudaStream_t stream)
@ -293,7 +293,7 @@ namespace cv { namespace gpu { namespace device
cudaSafeCall( cudaSetDoubleForDevice(&alpha) );
cudaSafeCall( cudaSetDoubleForDevice(&beta) );
Convertor<T, D, S> op(static_cast<S>(alpha), static_cast<S>(beta));
cv::gpu::device::transform((PtrStepSz<T>)src, (PtrStepSz<D>)dst, op, WithOutMask(), stream);
cv::gpu::cudev::transform((PtrStepSz<T>)src, (PtrStepSz<D>)dst, op, WithOutMask(), stream);
}
#if defined __clang__
@ -379,4 +379,4 @@ namespace cv { namespace gpu { namespace device
#if defined __clang__
# pragma clang diagnostic pop
#endif
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev

41
modules/core/src/cudastream.cpp
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@ -46,33 +46,30 @@ using namespace cv;
using namespace cv::gpu;
#if !defined (HAVE_CUDA)
#define throw_nogpu() CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support")
cv::gpu::Stream::Stream() { throw_nogpu(); }
cv::gpu::Stream::Stream() { throw_no_cuda(); }
cv::gpu::Stream::~Stream() {}
cv::gpu::Stream::Stream(const Stream&) { throw_nogpu(); }
Stream& cv::gpu::Stream::operator=(const Stream&) { throw_nogpu(); return *this; }
bool cv::gpu::Stream::queryIfComplete() { throw_nogpu(); return false; }
void cv::gpu::Stream::waitForCompletion() { throw_nogpu(); }
void cv::gpu::Stream::enqueueDownload(const GpuMat&, Mat&) { throw_nogpu(); }
void cv::gpu::Stream::enqueueDownload(const GpuMat&, CudaMem&) { throw_nogpu(); }
void cv::gpu::Stream::enqueueUpload(const CudaMem&, GpuMat&) { throw_nogpu(); }
void cv::gpu::Stream::enqueueUpload(const Mat&, GpuMat&) { throw_nogpu(); }
void cv::gpu::Stream::enqueueCopy(const GpuMat&, GpuMat&) { throw_nogpu(); }
void cv::gpu::Stream::enqueueMemSet(GpuMat&, Scalar) { throw_nogpu(); }
void cv::gpu::Stream::enqueueMemSet(GpuMat&, Scalar, const GpuMat&) { throw_nogpu(); }
void cv::gpu::Stream::enqueueConvert(const GpuMat&, GpuMat&, int, double, double) { throw_nogpu(); }
void cv::gpu::Stream::enqueueHostCallback(StreamCallback, void*) { throw_nogpu(); }
Stream& cv::gpu::Stream::Null() { throw_nogpu(); static Stream s; return s; }
cv::gpu::Stream::operator bool() const { throw_nogpu(); return false; }
cv::gpu::Stream::Stream(Impl*) { throw_nogpu(); }
void cv::gpu::Stream::create() { throw_nogpu(); }
void cv::gpu::Stream::release() { throw_nogpu(); }
cv::gpu::Stream::Stream(const Stream&) { throw_no_cuda(); }
Stream& cv::gpu::Stream::operator=(const Stream&) { throw_no_cuda(); return *this; }
bool cv::gpu::Stream::queryIfComplete() { throw_no_cuda(); return false; }
void cv::gpu::Stream::waitForCompletion() { throw_no_cuda(); }
void cv::gpu::Stream::enqueueDownload(const GpuMat&, Mat&) { throw_no_cuda(); }
void cv::gpu::Stream::enqueueDownload(const GpuMat&, CudaMem&) { throw_no_cuda(); }
void cv::gpu::Stream::enqueueUpload(const CudaMem&, GpuMat&) { throw_no_cuda(); }
void cv::gpu::Stream::enqueueUpload(const Mat&, GpuMat&) { throw_no_cuda(); }
void cv::gpu::Stream::enqueueCopy(const GpuMat&, GpuMat&) { throw_no_cuda(); }
void cv::gpu::Stream::enqueueMemSet(GpuMat&, Scalar) { throw_no_cuda(); }
void cv::gpu::Stream::enqueueMemSet(GpuMat&, Scalar, const GpuMat&) { throw_no_cuda(); }
void cv::gpu::Stream::enqueueConvert(const GpuMat&, GpuMat&, int, double, double) { throw_no_cuda(); }
void cv::gpu::Stream::enqueueHostCallback(StreamCallback, void*) { throw_no_cuda(); }
Stream& cv::gpu::Stream::Null() { throw_no_cuda(); static Stream s; return s; }
cv::gpu::Stream::operator bool() const { throw_no_cuda(); return false; }
cv::gpu::Stream::Stream(Impl*) { throw_no_cuda(); }
void cv::gpu::Stream::create() { throw_no_cuda(); }
void cv::gpu::Stream::release() { throw_no_cuda(); }
#else /* !defined (HAVE_CUDA) */
#include "opencv2/core/stream_accessor.hpp"
namespace cv { namespace gpu
{
void copyWithMask(const GpuMat& src, GpuMat& dst, const GpuMat& mask, cudaStream_t stream);

281
modules/core/src/gpumat.cpp
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@ -45,64 +45,38 @@
using namespace cv;
using namespace cv::gpu;
#ifndef HAVE_CUDA
#define throw_nogpu CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support")
#else // HAVE_CUDA
namespace
{
#if defined(__GNUC__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
#endif
inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
{
if (err < 0)
{
String msg = cv::format("NPP API Call Error: %d", err);
cv::gpu::error(msg.c_str(), file, line, func);
}
}
}
#endif // HAVE_CUDA
//////////////////////////////// Initialization & Info ////////////////////////
#ifndef HAVE_CUDA
int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
void cv::gpu::setDevice(int) { throw_nogpu; }
int cv::gpu::getDevice() { throw_nogpu; return 0; }
void cv::gpu::setDevice(int) { throw_no_cuda(); }
int cv::gpu::getDevice() { throw_no_cuda(); return 0; }
void cv::gpu::resetDevice() { throw_nogpu; }
void cv::gpu::resetDevice() { throw_no_cuda(); }
bool cv::gpu::deviceSupports(FeatureSet) { throw_nogpu; return false; }
bool cv::gpu::deviceSupports(FeatureSet) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::builtWith(FeatureSet) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::has(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasPtx(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasBin(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreater(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::builtWith(FeatureSet) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::has(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasPtx(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasBin(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreater(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int, int) { throw_no_cuda(); return false; }
size_t cv::gpu::DeviceInfo::sharedMemPerBlock() const { throw_nogpu; return 0; }
void cv::gpu::DeviceInfo::queryMemory(size_t&, size_t&) const { throw_nogpu; }
size_t cv::gpu::DeviceInfo::freeMemory() const { throw_nogpu; return 0; }
size_t cv::gpu::DeviceInfo::totalMemory() const { throw_nogpu; return 0; }
bool cv::gpu::DeviceInfo::supports(FeatureSet) const { throw_nogpu; return false; }
bool cv::gpu::DeviceInfo::isCompatible() const { throw_nogpu; return false; }
void cv::gpu::DeviceInfo::query() { throw_nogpu; }
size_t cv::gpu::DeviceInfo::sharedMemPerBlock() const { throw_no_cuda(); return 0; }
void cv::gpu::DeviceInfo::queryMemory(size_t&, size_t&) const { throw_no_cuda(); }
size_t cv::gpu::DeviceInfo::freeMemory() const { throw_no_cuda(); return 0; }
size_t cv::gpu::DeviceInfo::totalMemory() const { throw_no_cuda(); return 0; }
bool cv::gpu::DeviceInfo::supports(FeatureSet) const { throw_no_cuda(); return false; }
bool cv::gpu::DeviceInfo::isCompatible() const { throw_no_cuda(); return false; }
void cv::gpu::DeviceInfo::query() { throw_no_cuda(); }
void cv::gpu::printCudaDeviceInfo(int) { throw_nogpu; }
void cv::gpu::printShortCudaDeviceInfo(int) { throw_nogpu; }
void cv::gpu::printCudaDeviceInfo(int) { throw_no_cuda(); }
void cv::gpu::printShortCudaDeviceInfo(int) { throw_no_cuda(); }
#else // HAVE_CUDA
@ -846,18 +820,18 @@ namespace
class EmptyFuncTable : public GpuFuncTable
{
public:
void copy(const Mat&, GpuMat&) const { throw_nogpu; }
void copy(const GpuMat&, Mat&) const { throw_nogpu; }
void copy(const GpuMat&, GpuMat&) const { throw_nogpu; }
void copy(const Mat&, GpuMat&) const { throw_no_cuda(); }
void copy(const GpuMat&, Mat&) const { throw_no_cuda(); }
void copy(const GpuMat&, GpuMat&) const { throw_no_cuda(); }
void copyWithMask(const GpuMat&, GpuMat&, const GpuMat&) const { throw_nogpu; }
void copyWithMask(const GpuMat&, GpuMat&, const GpuMat&) const { throw_no_cuda(); }
void convert(const GpuMat&, GpuMat&) const { throw_nogpu; }
void convert(const GpuMat&, GpuMat&, double, double) const { throw_nogpu; }
void convert(const GpuMat&, GpuMat&) const { throw_no_cuda(); }
void convert(const GpuMat&, GpuMat&, double, double) const { throw_no_cuda(); }
void setTo(GpuMat&, Scalar, const GpuMat&) const { throw_nogpu; }
void setTo(GpuMat&, Scalar, const GpuMat&) const { throw_no_cuda(); }
void mallocPitch(void**, size_t*, size_t, size_t) const { throw_nogpu; }
void mallocPitch(void**, size_t*, size_t, size_t) const { throw_no_cuda(); }
void free(void*) const {}
};
@ -870,7 +844,7 @@ namespace
#else // HAVE_CUDA
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
void copyToWithMask_gpu(PtrStepSzb src, PtrStepSzb dst, size_t elemSize1, int cn, PtrStepSzb mask, bool colorMask, cudaStream_t stream);
@ -888,13 +862,13 @@ namespace
template <typename T> void kernelSetCaller(GpuMat& src, Scalar s, cudaStream_t stream)
{
Scalar_<T> sf = s;
cv::gpu::device::set_to_gpu(src, sf.val, src.channels(), stream);
cv::gpu::cudev::set_to_gpu(src, sf.val, src.channels(), stream);
}
template <typename T> void kernelSetCaller(GpuMat& src, Scalar s, const GpuMat& mask, cudaStream_t stream)
{
Scalar_<T> sf = s;
cv::gpu::device::set_to_gpu(src, sf.val, mask, src.channels(), stream);
cv::gpu::cudev::set_to_gpu(src, sf.val, mask, src.channels(), stream);
}
}
@ -918,17 +892,17 @@ namespace cv { namespace gpu
CV_Assert(src.size() == dst.size() && src.type() == dst.type());
CV_Assert(src.size() == mask.size() && mask.depth() == CV_8U && (mask.channels() == 1 || mask.channels() == src.channels()));
cv::gpu::device::copyToWithMask_gpu(src.reshape(1), dst.reshape(1), src.elemSize1(), src.channels(), mask.reshape(1), mask.channels() != 1, stream);
cv::gpu::cudev::copyToWithMask_gpu(src.reshape(1), dst.reshape(1), src.elemSize1(), src.channels(), mask.reshape(1), mask.channels() != 1, stream);
}
void convertTo(const GpuMat& src, GpuMat& dst)
{
cv::gpu::device::convert_gpu(src.reshape(1), src.depth(), dst.reshape(1), dst.depth(), 1.0, 0.0, 0);
cv::gpu::cudev::convert_gpu(src.reshape(1), src.depth(), dst.reshape(1), dst.depth(), 1.0, 0.0, 0);
}
void convertTo(const GpuMat& src, GpuMat& dst, double alpha, double beta, cudaStream_t stream = 0)
{
cv::gpu::device::convert_gpu(src.reshape(1), src.depth(), dst.reshape(1), dst.depth(), alpha, beta, stream);
cv::gpu::cudev::convert_gpu(src.reshape(1), src.depth(), dst.reshape(1), dst.depth(), alpha, beta, stream);
}
void setTo(GpuMat& src, Scalar s, cudaStream_t stream)
@ -1551,18 +1525,185 @@ void cv::gpu::GpuMat::release()
////////////////////////////////////////////////////////////////////////
// Error handling
void cv::gpu::error(const char *error_string, const char *file, const int line, const char *func)
#ifdef HAVE_CUDA
namespace
{
int code = CV_GpuApiCallError;
#define error_entry(entry) { entry, #entry }
struct ErrorEntry
{
int code;
const char* str;
};
if (std::uncaught_exception())
struct ErrorEntryComparer
{
const char* errorStr = cvErrorStr(code);
const char* function = func ? func : "unknown function";
int code;
ErrorEntryComparer(int code_) : code(code_) {}
bool operator()(const ErrorEntry& e) const { return e.code == code; }
};
const ErrorEntry npp_errors [] =
{
error_entry( NPP_NOT_SUPPORTED_MODE_ERROR ),
error_entry( NPP_ROUND_MODE_NOT_SUPPORTED_ERROR ),
error_entry( NPP_RESIZE_NO_OPERATION_ERROR ),
#if defined (_MSC_VER)
error_entry( NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY ),
#endif
error_entry( NPP_BAD_ARG_ERROR ),
error_entry( NPP_LUT_NUMBER_OF_LEVELS_ERROR ),
error_entry( NPP_TEXTURE_BIND_ERROR ),
error_entry( NPP_COEFF_ERROR ),
error_entry( NPP_RECT_ERROR ),
error_entry( NPP_QUAD_ERROR ),
error_entry( NPP_WRONG_INTERSECTION_ROI_ERROR ),
error_entry( NPP_NOT_EVEN_STEP_ERROR ),
error_entry( NPP_INTERPOLATION_ERROR ),
error_entry( NPP_RESIZE_FACTOR_ERROR ),
error_entry( NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR ),
error_entry( NPP_MEMFREE_ERR ),
error_entry( NPP_MEMSET_ERR ),
error_entry( NPP_MEMCPY_ERROR ),
error_entry( NPP_MEM_ALLOC_ERR ),
error_entry( NPP_HISTO_NUMBER_OF_LEVELS_ERROR ),
error_entry( NPP_MIRROR_FLIP_ERR ),
error_entry( NPP_INVALID_INPUT ),
error_entry( NPP_ALIGNMENT_ERROR ),
error_entry( NPP_STEP_ERROR ),
error_entry( NPP_SIZE_ERROR ),
error_entry( NPP_POINTER_ERROR ),
error_entry( NPP_NULL_POINTER_ERROR ),
error_entry( NPP_CUDA_KERNEL_EXECUTION_ERROR ),
error_entry( NPP_NOT_IMPLEMENTED_ERROR ),
error_entry( NPP_ERROR ),
error_entry( NPP_NO_ERROR ),
error_entry( NPP_SUCCESS ),
error_entry( NPP_WARNING ),
error_entry( NPP_WRONG_INTERSECTION_QUAD_WARNING ),
error_entry( NPP_MISALIGNED_DST_ROI_WARNING ),
error_entry( NPP_AFFINE_QUAD_INCORRECT_WARNING ),
error_entry( NPP_DOUBLE_SIZE_WARNING ),
error_entry( NPP_ODD_ROI_WARNING )
};
const size_t npp_error_num = sizeof(npp_errors) / sizeof(npp_errors[0]);
const ErrorEntry cu_errors [] =
{
error_entry( CUDA_SUCCESS ),
error_entry( CUDA_ERROR_INVALID_VALUE ),
error_entry( CUDA_ERROR_OUT_OF_MEMORY ),
error_entry( CUDA_ERROR_NOT_INITIALIZED ),
error_entry( CUDA_ERROR_DEINITIALIZED ),
error_entry( CUDA_ERROR_PROFILER_DISABLED ),
error_entry( CUDA_ERROR_PROFILER_NOT_INITIALIZED ),
error_entry( CUDA_ERROR_PROFILER_ALREADY_STARTED ),
error_entry( CUDA_ERROR_PROFILER_ALREADY_STOPPED ),
error_entry( CUDA_ERROR_NO_DEVICE ),
error_entry( CUDA_ERROR_INVALID_DEVICE ),
error_entry( CUDA_ERROR_INVALID_IMAGE ),
error_entry( CUDA_ERROR_INVALID_CONTEXT ),
error_entry( CUDA_ERROR_CONTEXT_ALREADY_CURRENT ),
error_entry( CUDA_ERROR_MAP_FAILED ),
error_entry( CUDA_ERROR_UNMAP_FAILED ),
error_entry( CUDA_ERROR_ARRAY_IS_MAPPED ),
error_entry( CUDA_ERROR_ALREADY_MAPPED ),
error_entry( CUDA_ERROR_NO_BINARY_FOR_GPU ),
error_entry( CUDA_ERROR_ALREADY_ACQUIRED ),
error_entry( CUDA_ERROR_NOT_MAPPED ),
error_entry( CUDA_ERROR_NOT_MAPPED_AS_ARRAY ),
error_entry( CUDA_ERROR_NOT_MAPPED_AS_POINTER ),
error_entry( CUDA_ERROR_ECC_UNCORRECTABLE ),
error_entry( CUDA_ERROR_UNSUPPORTED_LIMIT ),
error_entry( CUDA_ERROR_CONTEXT_ALREADY_IN_USE ),
error_entry( CUDA_ERROR_INVALID_SOURCE ),
error_entry( CUDA_ERROR_FILE_NOT_FOUND ),
error_entry( CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND ),
error_entry( CUDA_ERROR_SHARED_OBJECT_INIT_FAILED ),
error_entry( CUDA_ERROR_OPERATING_SYSTEM ),
error_entry( CUDA_ERROR_INVALID_HANDLE ),
error_entry( CUDA_ERROR_NOT_FOUND ),
error_entry( CUDA_ERROR_NOT_READY ),
error_entry( CUDA_ERROR_LAUNCH_FAILED ),
error_entry( CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES ),
error_entry( CUDA_ERROR_LAUNCH_TIMEOUT ),
error_entry( CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING ),
error_entry( CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED ),
error_entry( CUDA_ERROR_PEER_ACCESS_NOT_ENABLED ),
error_entry( CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE ),
error_entry( CUDA_ERROR_CONTEXT_IS_DESTROYED ),
error_entry( CUDA_ERROR_ASSERT ),
error_entry( CUDA_ERROR_TOO_MANY_PEERS ),
error_entry( CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED ),
error_entry( CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED ),
error_entry( CUDA_ERROR_UNKNOWN )
};
fprintf(stderr, "OpenCV Error: %s(%s) in %s, file %s, line %d", errorStr, error_string, function, file, line);
fflush(stderr);
const size_t cu_errors_num = sizeof(cu_errors) / sizeof(cu_errors[0]);
cv::String getErrorString(int code, const ErrorEntry* errors, size_t n)
{
size_t idx = std::find_if(errors, errors + n, ErrorEntryComparer(code)) - errors;
const char* msg = (idx != n) ? errors[idx].str : "Unknown error code";
cv::String str = cv::format("%s [Code = %d]", msg, code);
return str;
}
else
cv::error( cv::Exception(code, error_string, func, file, line) );
}
#endif
String cv::gpu::getNppErrorMessage(int code)
{
#ifndef HAVE_CUDA
(void) code;
return String();
#else
return getErrorString(code, npp_errors, npp_error_num);
#endif
}
String cv::gpu::getCudaDriverApiErrorMessage(int code)
{
#ifndef HAVE_CUDA
(void) code;
return String();
#else
return getErrorString(code, cu_errors, cu_errors_num);
#endif
}
bool cv::gpu::tryConvertToGpuBorderType(int cpuBorderType, int& gpuBorderType)
{
#ifndef HAVE_CUDA
(void) cpuBorderType;
(void) gpuBorderType;
return false;
#else
switch (cpuBorderType)
{
case IPL_BORDER_REFLECT_101:
gpuBorderType = cv::gpu::BORDER_REFLECT101_GPU;
return true;
case IPL_BORDER_REPLICATE:
gpuBorderType = cv::gpu::BORDER_REPLICATE_GPU;
return true;
case IPL_BORDER_CONSTANT:
gpuBorderType = cv::gpu::BORDER_CONSTANT_GPU;
return true;
case IPL_BORDER_REFLECT:
gpuBorderType = cv::gpu::BORDER_REFLECT_GPU;
return true;
case IPL_BORDER_WRAP:
gpuBorderType = cv::gpu::BORDER_WRAP_GPU;
return true;
default:
return false;
};
#endif
}

38
modules/core/src/matrix_operations.cpp
Unescape View File

@ -41,7 +41,6 @@
//M*/
#include "precomp.hpp"
#include "opencv2/core/gpumat.hpp"
using namespace cv;
using namespace cv::gpu;
@ -181,13 +180,12 @@ bool cv::gpu::CudaMem::empty() const
#if !defined (HAVE_CUDA)
void cv::gpu::registerPageLocked(Mat&) { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
void cv::gpu::unregisterPageLocked(Mat&) { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
void cv::gpu::CudaMem::create(int /*_rows*/, int /*_cols*/, int /*_type*/, int /*type_alloc*/)
{ CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
bool cv::gpu::CudaMem::canMapHostMemory() { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); return false; }
void cv::gpu::CudaMem::release() { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
GpuMat cv::gpu::CudaMem::createGpuMatHeader () const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); return GpuMat(); }
void cv::gpu::registerPageLocked(Mat&) { throw_no_cuda(); }
void cv::gpu::unregisterPageLocked(Mat&) { throw_no_cuda(); }
void cv::gpu::CudaMem::create(int, int, int, int) { throw_no_cuda(); }
bool cv::gpu::CudaMem::canMapHostMemory() { throw_no_cuda(); return false; }
void cv::gpu::CudaMem::release() { throw_no_cuda(); }
GpuMat cv::gpu::CudaMem::createGpuMatHeader () const { throw_no_cuda(); return GpuMat(); }
#else /* !defined (HAVE_CUDA) */
@ -222,7 +220,7 @@ namespace
void cv::gpu::CudaMem::create(int _rows, int _cols, int _type, int _alloc_type)
{
if (_alloc_type == ALLOC_ZEROCOPY && !canMapHostMemory())
cv::gpu::error("ZeroCopy is not supported by current device", __FILE__, __LINE__);
CV_Error(cv::Error::GpuApiCallError, "ZeroCopy is not supported by current device");
_type &= Mat::TYPE_MASK;
if( rows == _rows && cols == _cols && type() == _type && data )
@ -254,10 +252,10 @@ void cv::gpu::CudaMem::create(int _rows, int _cols, int _type, int _alloc_type)
switch (alloc_type)
{
case ALLOC_PAGE_LOCKED: cudaSafeCall( cudaHostAlloc( &ptr, datasize, cudaHostAllocDefault) ); break;
case ALLOC_ZEROCOPY: cudaSafeCall( cudaHostAlloc( &ptr, datasize, cudaHostAllocMapped) ); break;
case ALLOC_WRITE_COMBINED: cudaSafeCall( cudaHostAlloc( &ptr, datasize, cudaHostAllocWriteCombined) ); break;
default: cv::gpu::error("Invalid alloc type", __FILE__, __LINE__);
case ALLOC_PAGE_LOCKED: cudaSafeCall( cudaHostAlloc( &ptr, datasize, cudaHostAllocDefault) ); break;
case ALLOC_ZEROCOPY: cudaSafeCall( cudaHostAlloc( &ptr, datasize, cudaHostAllocMapped) ); break;
case ALLOC_WRITE_COMBINED: cudaSafeCall( cudaHostAlloc( &ptr, datasize, cudaHostAllocWriteCombined) ); break;
default: CV_Error(cv::Error::StsBadFlag, "Invalid alloc type");
}
datastart = data = (uchar*)ptr;
@ -270,15 +268,13 @@ void cv::gpu::CudaMem::create(int _rows, int _cols, int _type, int _alloc_type)
GpuMat cv::gpu::CudaMem::createGpuMatHeader () const
{
CV_Assert( alloc_type == ALLOC_ZEROCOPY );
GpuMat res;
if (alloc_type == ALLOC_ZEROCOPY)
{
void *pdev;
cudaSafeCall( cudaHostGetDevicePointer( &pdev, data, 0 ) );
res = GpuMat(rows, cols, type(), pdev, step);
}
else
cv::gpu::error("Zero-copy is not supported or memory was allocated without zero-copy flag", __FILE__, __LINE__);
void *pdev;
cudaSafeCall( cudaHostGetDevicePointer( &pdev, data, 0 ) );
res = GpuMat(rows, cols, type(), pdev, step);
return res;
}

100
modules/core/src/opengl_interop.cpp
Unescape View File

@ -41,16 +41,12 @@
//M*/
#include "precomp.hpp"
#include "opencv2/core/opengl.hpp"
#include "opencv2/core/gpumat.hpp"
#ifdef HAVE_OPENGL
#include "gl_core_3_1.hpp"
#ifdef HAVE_CUDA
#include <cuda_runtime.h>
#include <cuda_gl_interop.h>
#endif
# include "gl_core_3_1.hpp"
# ifdef HAVE_CUDA
# include <cuda_gl_interop.h>
# endif
#endif
using namespace cv;
@ -59,15 +55,9 @@ using namespace cv::gpu;
namespace
{
#ifndef HAVE_OPENGL
void throw_nogl() { CV_Error(CV_OpenGlNotSupported, "The library is compiled without OpenGL support"); }
void throw_no_ogl() { CV_Error(CV_OpenGlNotSupported, "The library is compiled without OpenGL support"); }
#else
void throw_nogl() { CV_Error(CV_OpenGlApiCallError, "OpenGL context doesn't exist"); }
#ifndef HAVE_CUDA
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"); }
#endif
void throw_no_ogl() { CV_Error(CV_OpenGlApiCallError, "OpenGL context doesn't exist"); }
#endif
bool checkError(const char* file, const int line, const char* func = 0)
@ -137,11 +127,11 @@ void cv::gpu::setGlDevice(int device)
{
#ifndef HAVE_OPENGL
(void) device;
throw_nogl();
throw_no_ogl();
#else
#if !defined(HAVE_CUDA) || defined(CUDA_DISABLER)
(void) device;
throw_nocuda();
throw_no_cuda();
#else
cudaSafeCall( cudaGLSetGLDevice(device) );
#endif
@ -476,7 +466,7 @@ void cv::ogl::Buffer::Impl::unmapHost()
cv::ogl::Buffer::Buffer() : rows_(0), cols_(0), type_(0)
{
#ifndef HAVE_OPENGL
throw_nogl();
throw_no_ogl();
#else
impl_ = Impl::empty();
#endif
@ -490,7 +480,7 @@ cv::ogl::Buffer::Buffer(int arows, int acols, int atype, unsigned int abufId, bo
(void) atype;
(void) abufId;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
impl_ = new Impl(abufId, autoRelease);
rows_ = arows;
@ -506,7 +496,7 @@ cv::ogl::Buffer::Buffer(Size asize, int atype, unsigned int abufId, bool autoRel
(void) atype;
(void) abufId;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
impl_ = new Impl(abufId, autoRelease);
rows_ = asize.height;
@ -531,7 +521,7 @@ cv::ogl::Buffer::Buffer(InputArray arr, Target target, bool autoRelease) : rows_
(void) arr;
(void) target;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
const int kind = arr.kind();
@ -578,7 +568,7 @@ void cv::ogl::Buffer::create(int arows, int acols, int atype, Target target, boo
(void) atype;
(void) target;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
if (rows_ != arows || cols_ != acols || type_ != atype)
{
@ -607,7 +597,7 @@ void cv::ogl::Buffer::setAutoRelease(bool flag)
{
#ifndef HAVE_OPENGL
(void) flag;
throw_nogl();
throw_no_ogl();
#else
impl_->setAutoRelease(flag);
#endif
@ -619,7 +609,7 @@ void cv::ogl::Buffer::copyFrom(InputArray arr, Target target, bool autoRelease)
(void) arr;
(void) target;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
const int kind = arr.kind();
@ -647,7 +637,7 @@ void cv::ogl::Buffer::copyFrom(InputArray arr, Target target, bool autoRelease)
case _InputArray::GPU_MAT:
{
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
throw_nocuda();
throw_no_cuda();
#else
GpuMat dmat = arr.getGpuMat();
impl_->copyFrom(dmat.data, dmat.step, dmat.cols * dmat.elemSize(), dmat.rows);
@ -672,7 +662,7 @@ void cv::ogl::Buffer::copyTo(OutputArray arr, Target target, bool autoRelease) c
(void) arr;
(void) target;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
const int kind = arr.kind();
@ -693,7 +683,7 @@ void cv::ogl::Buffer::copyTo(OutputArray arr, Target target, bool autoRelease) c
case _InputArray::GPU_MAT:
{
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
throw_nocuda();
throw_no_cuda();
#else
GpuMat& dmat = arr.getGpuMatRef();
dmat.create(rows_, cols_, type_);
@ -719,7 +709,7 @@ cv::ogl::Buffer cv::ogl::Buffer::clone(Target target, bool autoRelease) const
#ifndef HAVE_OPENGL
(void) target;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
return cv::ogl::Buffer();
#else
ogl::Buffer buf;
@ -732,7 +722,7 @@ void cv::ogl::Buffer::bind(Target target) const
{
#ifndef HAVE_OPENGL
(void) target;
throw_nogl();
throw_no_ogl();
#else
impl_->bind(target);
#endif
@ -742,7 +732,7 @@ void cv::ogl::Buffer::unbind(Target target)
{
#ifndef HAVE_OPENGL
(void) target;
throw_nogl();
throw_no_ogl();
#else
gl::BindBuffer(target, 0);
CV_CheckGlError();
@ -753,7 +743,7 @@ Mat cv::ogl::Buffer::mapHost(Access access)
{
#ifndef HAVE_OPENGL
(void) access;
throw_nogl();
throw_no_ogl();
return Mat();
#else
return Mat(rows_, cols_, type_, impl_->mapHost(access));
@ -763,7 +753,7 @@ Mat cv::ogl::Buffer::mapHost(Access access)
void cv::ogl::Buffer::unmapHost()
{
#ifndef HAVE_OPENGL
throw_nogl();
throw_no_ogl();
#else
return impl_->unmapHost();
#endif
@ -772,11 +762,11 @@ void cv::ogl::Buffer::unmapHost()
GpuMat cv::ogl::Buffer::mapDevice()
{
#ifndef HAVE_OPENGL
throw_nogl();
throw_no_ogl();
return GpuMat();
#else
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
throw_nocuda();
throw_no_cuda();
return GpuMat();
#else
return GpuMat(rows_, cols_, type_, impl_->mapDevice());
@ -787,10 +777,10 @@ GpuMat cv::ogl::Buffer::mapDevice()
void cv::ogl::Buffer::unmapDevice()
{
#ifndef HAVE_OPENGL
throw_nogl();
throw_no_ogl();
#else
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
throw_nocuda();
throw_no_cuda();
#else
impl_->unmapDevice();
#endif
@ -800,7 +790,7 @@ void cv::ogl::Buffer::unmapDevice()
unsigned int cv::ogl::Buffer::bufId() const
{
#ifndef HAVE_OPENGL
throw_nogl();
throw_no_ogl();
return 0;
#else
return impl_->bufId();
@ -926,7 +916,7 @@ void cv::ogl::Texture2D::Impl::bind() const
cv::ogl::Texture2D::Texture2D() : rows_(0), cols_(0), format_(NONE)
{
#ifndef HAVE_OPENGL
throw_nogl();
throw_no_ogl();
#else
impl_ = Impl::empty();
#endif
@ -940,7 +930,7 @@ cv::ogl::Texture2D::Texture2D(int arows, int acols, Format aformat, unsigned int
(void) aformat;
(void) atexId;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
impl_ = new Impl(atexId, autoRelease);
rows_ = arows;
@ -956,7 +946,7 @@ cv::ogl::Texture2D::Texture2D(Size asize, Format aformat, unsigned int atexId, b
(void) aformat;
(void) atexId;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
impl_ = new Impl(atexId, autoRelease);
rows_ = asize.height;
@ -980,7 +970,7 @@ cv::ogl::Texture2D::Texture2D(InputArray arr, bool autoRelease) : rows_(0), cols
#ifndef HAVE_OPENGL
(void) arr;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
const int kind = arr.kind();
@ -1016,7 +1006,7 @@ cv::ogl::Texture2D::Texture2D(InputArray arr, bool autoRelease) : rows_(0), cols
case _InputArray::GPU_MAT:
{
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
throw_nocuda();
throw_no_cuda();
#else
GpuMat dmat = arr.getGpuMat();
ogl::Buffer buf(dmat, ogl::Buffer::PIXEL_UNPACK_BUFFER);
@ -1051,7 +1041,7 @@ void cv::ogl::Texture2D::create(int arows, int acols, Format aformat, bool autoR
(void) acols;
(void) aformat;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
if (rows_ != arows || cols_ != acols || format_ != aformat)
{
@ -1080,7 +1070,7 @@ void cv::ogl::Texture2D::setAutoRelease(bool flag)
{
#ifndef HAVE_OPENGL
(void) flag;
throw_nogl();
throw_no_ogl();
#else
impl_->setAutoRelease(flag);
#endif
@ -1091,7 +1081,7 @@ void cv::ogl::Texture2D::copyFrom(InputArray arr, bool autoRelease)
#ifndef HAVE_OPENGL
(void) arr;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
const int kind = arr.kind();
@ -1129,7 +1119,7 @@ void cv::ogl::Texture2D::copyFrom(InputArray arr, bool autoRelease)
case _InputArray::GPU_MAT:
{
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
throw_nocuda();
throw_no_cuda();
#else
GpuMat dmat = arr.getGpuMat();
ogl::Buffer buf(dmat, ogl::Buffer::PIXEL_UNPACK_BUFFER);
@ -1158,7 +1148,7 @@ void cv::ogl::Texture2D::copyTo(OutputArray arr, int ddepth, bool autoRelease) c
(void) arr;
(void) ddepth;
(void) autoRelease;
throw_nogl();
throw_no_ogl();
#else
const int kind = arr.kind();
@ -1180,7 +1170,7 @@ void cv::ogl::Texture2D::copyTo(OutputArray arr, int ddepth, bool autoRelease) c
case _InputArray::GPU_MAT:
{
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
throw_nocuda();
throw_no_cuda();
#else
ogl::Buffer buf(rows_, cols_, CV_MAKE_TYPE(ddepth, cn), ogl::Buffer::PIXEL_PACK_BUFFER);
buf.bind(ogl::Buffer::PIXEL_PACK_BUFFER);
@ -1207,7 +1197,7 @@ void cv::ogl::Texture2D::copyTo(OutputArray arr, int ddepth, bool autoRelease) c
void cv::ogl::Texture2D::bind() const
{
#ifndef HAVE_OPENGL
throw_nogl();
throw_no_ogl();
#else
impl_->bind();
#endif
@ -1216,7 +1206,7 @@ void cv::ogl::Texture2D::bind() const
unsigned int cv::ogl::Texture2D::texId() const
{
#ifndef HAVE_OPENGL
throw_nogl();
throw_no_ogl();
return 0;
#else
return impl_->texId();
@ -1331,7 +1321,7 @@ void cv::ogl::Arrays::setAutoRelease(bool flag)
void cv::ogl::Arrays::bind() const
{
#ifndef HAVE_OPENGL
throw_nogl();
throw_no_ogl();
#else
CV_Assert( texCoord_.empty() || texCoord_.size().area() == size_ );
CV_Assert( normal_.empty() || normal_.size().area() == size_ );
@ -1416,7 +1406,7 @@ void cv::ogl::render(const ogl::Texture2D& tex, Rect_<double> wndRect, Rect_<dou
(void) tex;
(void) wndRect;
(void) texRect;
throw_nogl();
throw_no_ogl();
#else
if (!tex.empty())
{
@ -1488,7 +1478,7 @@ void cv::ogl::render(const ogl::Arrays& arr, int mode, Scalar color)
(void) arr;
(void) mode;
(void) color;
throw_nogl();
throw_no_ogl();
#else
if (!arr.empty())
{
@ -1508,7 +1498,7 @@ void cv::ogl::render(const ogl::Arrays& arr, InputArray indices, int mode, Scala
(void) indices;
(void) mode;
(void) color;
throw_nogl();
throw_no_ogl();
#else
if (!arr.empty() && !indices.empty())
{

33
modules/core/src/precomp.hpp
Unescape View File

@ -46,8 +46,10 @@
#include "opencv2/core/utility.hpp"
#include "opencv2/core/core_c.h"
#include "opencv2/core/gpumat.hpp"
#include "opencv2/core/opengl.hpp"
#include "opencv2/core/private.hpp"
#include "opencv2/core/gpu_private.hpp"
#include <assert.h>
#include <ctype.h>
@ -64,37 +66,6 @@
#define GET_OPTIMIZED(func) (func)
#endif
#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
# 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 //HAVE_CUDA
namespace cv
{

6
modules/gpu/CMakeLists.txt
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@ -8,8 +8,6 @@ ocv_add_module(gpu opencv_imgproc opencv_calib3d opencv_objdetect opencv_video o
ocv_module_include_directories("${CMAKE_CURRENT_SOURCE_DIR}/src/cuda")
file(GLOB lib_hdrs "include/opencv2/*.hpp" "include/opencv2/${name}/*.hpp" "include/opencv2/${name}/*.h")
file(GLOB lib_device_hdrs "include/opencv2/${name}/device/*.hpp" "include/opencv2/${name}/device/*.h")
file(GLOB lib_device_hdrs_detail "include/opencv2/${name}/device/detail/*.hpp" "include/opencv2/${name}/device/detail/*.h")
file(GLOB lib_int_hdrs "src/*.hpp" "src/*.h")
file(GLOB lib_cuda_hdrs "src/cuda/*.hpp" "src/cuda/*.h")
file(GLOB lib_srcs "src/*.cpp")
@ -18,8 +16,6 @@ file(GLOB lib_cuda "src/cuda/*.cu*")
source_group("Include" FILES ${lib_hdrs})
source_group("Src\\Host" FILES ${lib_srcs} ${lib_int_hdrs})
source_group("Src\\Cuda" FILES ${lib_cuda} ${lib_cuda_hdrs})
source_group("Device" FILES ${lib_device_hdrs})
source_group("Device\\Detail" FILES ${lib_device_hdrs_detail})
if(HAVE_CUDA)
file(GLOB_RECURSE ncv_srcs "src/nvidia/*.cpp" "src/nvidia/*.h*")
@ -64,7 +60,7 @@ else()
endif()
ocv_set_module_sources(
HEADERS ${lib_hdrs} ${lib_device_hdrs} ${lib_device_hdrs_detail}
HEADERS ${lib_hdrs}
SOURCES ${lib_int_hdrs} ${lib_cuda_hdrs} ${lib_srcs} ${lib_cuda} ${ncv_files} ${cuda_objs}
)

67
modules/gpu/include/opencv2/gpu/device/static_check.hpp
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@ -1,67 +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 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.
//
// 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_GPU_DEVICE_STATIC_CHECK_HPP__
#define __OPENCV_GPU_GPU_DEVICE_STATIC_CHECK_HPP__
#if defined(__CUDACC__)
#define __OPENCV_GPU_HOST_DEVICE__ __host__ __device__ __forceinline__
#else
#define __OPENCV_GPU_HOST_DEVICE__
#endif
namespace cv { namespace gpu
{
namespace device
{
template<bool expr> struct Static {};
template<> struct Static<true>
{
__OPENCV_GPU_HOST_DEVICE__ static void check() {};
};
}
}}
#undef __OPENCV_GPU_HOST_DEVICE__
#endif /* __OPENCV_GPU_GPU_DEVICE_STATIC_CHECK_HPP__ */

6
modules/gpu/perf/perf_precomp.hpp
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@ -54,10 +54,6 @@
#include <cstdio>
#include <iostream>
#ifdef HAVE_CUDA
#include <cuda_runtime.h>
#endif
#include "opencv2/ts.hpp"
#include "opencv2/ts/gpu_perf.hpp"
@ -70,7 +66,7 @@
#include "opencv2/legacy.hpp"
#include "opencv2/photo.hpp"
#include "opencv2/core/private.hpp"
#include "opencv2/core/gpu_private.hpp"
#ifdef GTEST_CREATE_SHARED_LIBRARY
#error no modules except ts should have GTEST_CREATE_SHARED_LIBRARY defined

32
modules/gpu/src/arithm.cpp
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@ -47,19 +47,19 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
void cv::gpu::gemm(const GpuMat&, const GpuMat&, double, const GpuMat&, double, GpuMat&, int, Stream&) { throw_nogpu(); }
void cv::gpu::transpose(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::flip(const GpuMat&, GpuMat&, int, Stream&) { throw_nogpu(); }
void cv::gpu::LUT(const GpuMat&, const Mat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::magnitude(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::magnitudeSqr(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::magnitude(const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::magnitudeSqr(const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::phase(const GpuMat&, const GpuMat&, GpuMat&, bool, Stream&) { throw_nogpu(); }
void cv::gpu::cartToPolar(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, bool, Stream&) { throw_nogpu(); }
void cv::gpu::polarToCart(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, bool, Stream&) { throw_nogpu(); }
void cv::gpu::normalize(const GpuMat&, GpuMat&, double, double, int, int, const GpuMat&) { throw_nogpu(); }
void cv::gpu::normalize(const GpuMat&, GpuMat&, double, double, int, int, const GpuMat&, GpuMat&, GpuMat&) { throw_nogpu(); }
void cv::gpu::gemm(const GpuMat&, const GpuMat&, double, const GpuMat&, double, GpuMat&, int, Stream&) { throw_no_cuda(); }
void cv::gpu::transpose(const GpuMat&, GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::flip(const GpuMat&, GpuMat&, int, Stream&) { throw_no_cuda(); }
void cv::gpu::LUT(const GpuMat&, const Mat&, GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::magnitude(const GpuMat&, GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::magnitudeSqr(const GpuMat&, GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::magnitude(const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::magnitudeSqr(const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::phase(const GpuMat&, const GpuMat&, GpuMat&, bool, Stream&) { throw_no_cuda(); }
void cv::gpu::cartToPolar(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, bool, Stream&) { throw_no_cuda(); }
void cv::gpu::polarToCart(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, bool, Stream&) { throw_no_cuda(); }
void cv::gpu::normalize(const GpuMat&, GpuMat&, double, double, int, int, const GpuMat&) { throw_no_cuda(); }
void cv::gpu::normalize(const GpuMat&, GpuMat&, double, double, int, int, const GpuMat&, GpuMat&, GpuMat&) { throw_no_cuda(); }
#else /* !defined (HAVE_CUDA) */
@ -444,7 +444,7 @@ void cv::gpu::magnitudeSqr(const GpuMat& src, GpuMat& dst, Stream& stream)
////////////////////////////////////////////////////////////////////////
// Polar <-> Cart
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace mathfunc
{
@ -457,7 +457,7 @@ namespace
{
inline void cartToPolar_caller(const GpuMat& x, const GpuMat& y, GpuMat* mag, bool magSqr, GpuMat* angle, bool angleInDegrees, cudaStream_t stream)
{
using namespace ::cv::gpu::device::mathfunc;
using namespace ::cv::gpu::cudev::mathfunc;
CV_Assert(x.size() == y.size() && x.type() == y.type());
CV_Assert(x.depth() == CV_32F);
@ -477,7 +477,7 @@ namespace
inline void polarToCart_caller(const GpuMat& mag, const GpuMat& angle, GpuMat& x, GpuMat& y, bool angleInDegrees, cudaStream_t stream)
{
using namespace ::cv::gpu::device::mathfunc;
using namespace ::cv::gpu::cudev::mathfunc;
CV_Assert((mag.empty() || mag.size() == angle.size()) && mag.type() == angle.type());
CV_Assert(mag.depth() == CV_32F);

12
modules/gpu/src/bgfg_gmg.cpp
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@ -44,14 +44,14 @@
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
cv::gpu::GMG_GPU::GMG_GPU() { throw_nogpu(); }
void cv::gpu::GMG_GPU::initialize(cv::Size, float, float) { throw_nogpu(); }
void cv::gpu::GMG_GPU::operator ()(const cv::gpu::GpuMat&, cv::gpu::GpuMat&, float, cv::gpu::Stream&) { throw_nogpu(); }
cv::gpu::GMG_GPU::GMG_GPU() { throw_no_cuda(); }
void cv::gpu::GMG_GPU::initialize(cv::Size, float, float) { throw_no_cuda(); }
void cv::gpu::GMG_GPU::operator ()(const cv::gpu::GpuMat&, cv::gpu::GpuMat&, float, cv::gpu::Stream&) { throw_no_cuda(); }
void cv::gpu::GMG_GPU::release() {}
#else
namespace cv { namespace gpu { namespace device {
namespace cv { namespace gpu { namespace cudev {
namespace bgfg_gmg
{
void loadConstants(int width, int height, float minVal, float maxVal, int quantizationLevels, float backgroundPrior,
@ -77,7 +77,7 @@ cv::gpu::GMG_GPU::GMG_GPU()
void cv::gpu::GMG_GPU::initialize(cv::Size frameSize, float min, float max)
{
using namespace cv::gpu::device::bgfg_gmg;
using namespace cv::gpu::cudev::bgfg_gmg;
CV_Assert(min < max);
CV_Assert(maxFeatures > 0);
@ -107,7 +107,7 @@ void cv::gpu::GMG_GPU::initialize(cv::Size frameSize, float min, float max)
void cv::gpu::GMG_GPU::operator ()(const cv::gpu::GpuMat& frame, cv::gpu::GpuMat& fgmask, float newLearningRate, cv::gpu::Stream& stream)
{
using namespace cv::gpu::device::bgfg_gmg;
using namespace cv::gpu::cudev::bgfg_gmg;
typedef void (*func_t)(PtrStepSzb frame, PtrStepb fgmask, PtrStepSzi colors, PtrStepf weights, PtrStepi nfeatures,
int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream);

28
modules/gpu/src/bgfg_mog.cpp
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@ -44,21 +44,21 @@
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
cv::gpu::MOG_GPU::MOG_GPU(int) { throw_nogpu(); }
void cv::gpu::MOG_GPU::initialize(cv::Size, int) { throw_nogpu(); }
void cv::gpu::MOG_GPU::operator()(const cv::gpu::GpuMat&, cv::gpu::GpuMat&, float, Stream&) { throw_nogpu(); }
void cv::gpu::MOG_GPU::getBackgroundImage(GpuMat&, Stream&) const { throw_nogpu(); }
cv::gpu::MOG_GPU::MOG_GPU(int) { throw_no_cuda(); }
void cv::gpu::MOG_GPU::initialize(cv::Size, int) { throw_no_cuda(); }
void cv::gpu::MOG_GPU::operator()(const cv::gpu::GpuMat&, cv::gpu::GpuMat&, float, Stream&) { throw_no_cuda(); }
void cv::gpu::MOG_GPU::getBackgroundImage(GpuMat&, Stream&) const { throw_no_cuda(); }
void cv::gpu::MOG_GPU::release() {}
cv::gpu::MOG2_GPU::MOG2_GPU(int) { throw_nogpu(); }
void cv::gpu::MOG2_GPU::initialize(cv::Size, int) { throw_nogpu(); }
void cv::gpu::MOG2_GPU::operator()(const GpuMat&, GpuMat&, float, Stream&) { throw_nogpu(); }
void cv::gpu::MOG2_GPU::getBackgroundImage(GpuMat&, Stream&) const { throw_nogpu(); }
cv::gpu::MOG2_GPU::MOG2_GPU(int) { throw_no_cuda(); }
void cv::gpu::MOG2_GPU::initialize(cv::Size, int) { throw_no_cuda(); }
void cv::gpu::MOG2_GPU::operator()(const GpuMat&, GpuMat&, float, Stream&) { throw_no_cuda(); }
void cv::gpu::MOG2_GPU::getBackgroundImage(GpuMat&, Stream&) const { throw_no_cuda(); }
void cv::gpu::MOG2_GPU::release() {}
#else
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace mog
{
@ -123,7 +123,7 @@ void cv::gpu::MOG_GPU::initialize(cv::Size frameSize, int frameType)
void cv::gpu::MOG_GPU::operator()(const cv::gpu::GpuMat& frame, cv::gpu::GpuMat& fgmask, float learningRate, Stream& stream)
{
using namespace cv::gpu::device::mog;
using namespace cv::gpu::cudev::mog;
CV_Assert(frame.depth() == CV_8U);
@ -146,7 +146,7 @@ void cv::gpu::MOG_GPU::operator()(const cv::gpu::GpuMat& frame, cv::gpu::GpuMat&
void cv::gpu::MOG_GPU::getBackgroundImage(GpuMat& backgroundImage, Stream& stream) const
{
using namespace cv::gpu::device::mog;
using namespace cv::gpu::cudev::mog;
backgroundImage.create(frameSize_, frameType_);
@ -208,7 +208,7 @@ cv::gpu::MOG2_GPU::MOG2_GPU(int nmixtures) :
void cv::gpu::MOG2_GPU::initialize(cv::Size frameSize, int frameType)
{
using namespace cv::gpu::device::mog;
using namespace cv::gpu::cudev::mog;
CV_Assert(frameType == CV_8UC1 || frameType == CV_8UC3 || frameType == CV_8UC4);
@ -236,7 +236,7 @@ void cv::gpu::MOG2_GPU::initialize(cv::Size frameSize, int frameType)
void cv::gpu::MOG2_GPU::operator()(const GpuMat& frame, GpuMat& fgmask, float learningRate, Stream& stream)
{
using namespace cv::gpu::device::mog;
using namespace cv::gpu::cudev::mog;
int ch = frame.channels();
int work_ch = ch;
@ -256,7 +256,7 @@ void cv::gpu::MOG2_GPU::operator()(const GpuMat& frame, GpuMat& fgmask, float le
void cv::gpu::MOG2_GPU::getBackgroundImage(GpuMat& backgroundImage, Stream& stream) const
{
using namespace cv::gpu::device::mog;
using namespace cv::gpu::cudev::mog;
backgroundImage.create(frameSize_, frameType_);

10
modules/gpu/src/bilateral_filter.cpp
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@ -47,14 +47,14 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
cv::gpu::DisparityBilateralFilter::DisparityBilateralFilter(int, int, int) { throw_nogpu(); }
cv::gpu::DisparityBilateralFilter::DisparityBilateralFilter(int, int, int, float, float, float) { throw_nogpu(); }
cv::gpu::DisparityBilateralFilter::DisparityBilateralFilter(int, int, int) { throw_no_cuda(); }
cv::gpu::DisparityBilateralFilter::DisparityBilateralFilter(int, int, int, float, float, float) { throw_no_cuda(); }
void cv::gpu::DisparityBilateralFilter::operator()(const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::DisparityBilateralFilter::operator()(const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_no_cuda(); }
#else /* !defined (HAVE_CUDA) */
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace disp_bilateral_filter
{
@ -65,7 +65,7 @@ namespace cv { namespace gpu { namespace device
}
}}}
using namespace ::cv::gpu::device::disp_bilateral_filter;
using namespace ::cv::gpu::cudev::disp_bilateral_filter;
namespace
{

6
modules/gpu/src/blend.cpp
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@ -47,11 +47,11 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
void cv::gpu::blendLinear(const GpuMat&, const GpuMat&, const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::blendLinear(const GpuMat&, const GpuMat&, const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_no_cuda(); }
#else
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace blend
{
@ -62,7 +62,7 @@ namespace cv { namespace gpu { namespace device
}
}}}
using namespace ::cv::gpu::device::blend;
using namespace ::cv::gpu::cudev::blend;
void cv::gpu::blendLinear(const GpuMat& img1, const GpuMat& img2, const GpuMat& weights1, const GpuMat& weights2,
GpuMat& result, Stream& stream)

76
modules/gpu/src/brute_force_matcher.cpp
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@ -47,41 +47,41 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
cv::gpu::BFMatcher_GPU::BFMatcher_GPU(int) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::add(const std::vector<GpuMat>&) { throw_nogpu(); }
const std::vector<GpuMat>& cv::gpu::BFMatcher_GPU::getTrainDescriptors() const { throw_nogpu(); return trainDescCollection; }
void cv::gpu::BFMatcher_GPU::clear() { throw_nogpu(); }
bool cv::gpu::BFMatcher_GPU::empty() const { throw_nogpu(); return true; }
bool cv::gpu::BFMatcher_GPU::isMaskSupported() const { throw_nogpu(); return true; }
void cv::gpu::BFMatcher_GPU::matchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::matchDownload(const GpuMat&, const GpuMat&, std::vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::matchConvert(const Mat&, const Mat&, std::vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::match(const GpuMat&, const GpuMat&, std::vector<DMatch>&, const GpuMat&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::makeGpuCollection(GpuMat&, GpuMat&, const std::vector<GpuMat>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::matchCollection(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::matchDownload(const GpuMat&, const GpuMat&, const GpuMat&, std::vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::matchConvert(const Mat&, const Mat&, const Mat&, std::vector<DMatch>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::match(const GpuMat&, std::vector<DMatch>&, const std::vector<GpuMat>&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatchDownload(const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatchConvert(const Mat&, const Mat&, std::vector< std::vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatch(const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, int, const GpuMat&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatch2Collection(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatch2Download(const GpuMat&, const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatch2Convert(const Mat&, const Mat&, const Mat&, std::vector< std::vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::knnMatch(const GpuMat&, std::vector< std::vector<DMatch> >&, int, const std::vector<GpuMat>&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, float, const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat&, const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat&, const Mat&, const Mat&, std::vector< std::vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatch(const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, float, const GpuMat&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchCollection(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, float, const std::vector<GpuMat>&, Stream&) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat&, const GpuMat&, const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat&, const Mat&, const Mat&, const Mat&, std::vector< std::vector<DMatch> >&, bool) { throw_nogpu(); }
void cv::gpu::BFMatcher_GPU::radiusMatch(const GpuMat&, std::vector< std::vector<DMatch> >&, float, const std::vector<GpuMat>&, bool) { throw_nogpu(); }
cv::gpu::BFMatcher_GPU::BFMatcher_GPU(int) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::add(const std::vector<GpuMat>&) { throw_no_cuda(); }
const std::vector<GpuMat>& cv::gpu::BFMatcher_GPU::getTrainDescriptors() const { throw_no_cuda(); return trainDescCollection; }
void cv::gpu::BFMatcher_GPU::clear() { throw_no_cuda(); }
bool cv::gpu::BFMatcher_GPU::empty() const { throw_no_cuda(); return true; }
bool cv::gpu::BFMatcher_GPU::isMaskSupported() const { throw_no_cuda(); return true; }
void cv::gpu::BFMatcher_GPU::matchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::matchDownload(const GpuMat&, const GpuMat&, std::vector<DMatch>&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::matchConvert(const Mat&, const Mat&, std::vector<DMatch>&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::match(const GpuMat&, const GpuMat&, std::vector<DMatch>&, const GpuMat&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::makeGpuCollection(GpuMat&, GpuMat&, const std::vector<GpuMat>&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::matchCollection(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::matchDownload(const GpuMat&, const GpuMat&, const GpuMat&, std::vector<DMatch>&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::matchConvert(const Mat&, const Mat&, const Mat&, std::vector<DMatch>&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::match(const GpuMat&, std::vector<DMatch>&, const std::vector<GpuMat>&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::knnMatchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, const GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::knnMatchDownload(const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, bool) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::knnMatchConvert(const Mat&, const Mat&, std::vector< std::vector<DMatch> >&, bool) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::knnMatch(const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, int, const GpuMat&, bool) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::knnMatch2Collection(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, const GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::knnMatch2Download(const GpuMat&, const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, bool) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::knnMatch2Convert(const Mat&, const Mat&, const Mat&, std::vector< std::vector<DMatch> >&, bool) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::knnMatch(const GpuMat&, std::vector< std::vector<DMatch> >&, int, const std::vector<GpuMat>&, bool) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::radiusMatchSingle(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat&, float, const GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat&, const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, bool) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat&, const Mat&, const Mat&, std::vector< std::vector<DMatch> >&, bool) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::radiusMatch(const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, float, const GpuMat&, bool) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::radiusMatchCollection(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, float, const std::vector<GpuMat>&, Stream&) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat&, const GpuMat&, const GpuMat&, const GpuMat&, std::vector< std::vector<DMatch> >&, bool) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::radiusMatchConvert(const Mat&, const Mat&, const Mat&, const Mat&, std::vector< std::vector<DMatch> >&, bool) { throw_no_cuda(); }
void cv::gpu::BFMatcher_GPU::radiusMatch(const GpuMat&, std::vector< std::vector<DMatch> >&, float, const std::vector<GpuMat>&, bool) { throw_no_cuda(); }
#else /* !defined (HAVE_CUDA) */
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace bf_match
{
@ -197,7 +197,7 @@ void cv::gpu::BFMatcher_GPU::matchSingle(const GpuMat& query, const GpuMat& trai
if (query.empty() || train.empty())
return;
using namespace cv::gpu::device::bf_match;
using namespace cv::gpu::cudev::bf_match;
typedef void (*caller_t)(const PtrStepSzb& query, const PtrStepSzb& train, const PtrStepSzb& mask,
const PtrStepSzi& trainIdx, const PtrStepSzf& distance,
@ -340,7 +340,7 @@ void cv::gpu::BFMatcher_GPU::matchCollection(const GpuMat& query, const GpuMat&
if (query.empty() || trainCollection.empty())
return;
using namespace cv::gpu::device::bf_match;
using namespace cv::gpu::cudev::bf_match;
typedef void (*caller_t)(const PtrStepSzb& query, const PtrStepSzb& trains, const PtrStepSz<PtrStepb>& masks,
const PtrStepSzi& trainIdx, const PtrStepSzi& imgIdx, const PtrStepSzf& distance,
@ -451,7 +451,7 @@ void cv::gpu::BFMatcher_GPU::knnMatchSingle(const GpuMat& query, const GpuMat& t
if (query.empty() || train.empty())
return;
using namespace cv::gpu::device::bf_knnmatch;
using namespace cv::gpu::cudev::bf_knnmatch;
typedef void (*caller_t)(const PtrStepSzb& query, const PtrStepSzb& train, int k, const PtrStepSzb& mask,
const PtrStepSzb& trainIdx, const PtrStepSzb& distance, const PtrStepSzf& allDist,
@ -580,7 +580,7 @@ void cv::gpu::BFMatcher_GPU::knnMatch2Collection(const GpuMat& query, const GpuM
if (query.empty() || trainCollection.empty())
return;
using namespace cv::gpu::device::bf_knnmatch;
using namespace cv::gpu::cudev::bf_knnmatch;
typedef void (*caller_t)(const PtrStepSzb& query, const PtrStepSzb& trains, const PtrStepSz<PtrStepb>& masks,
const PtrStepSzb& trainIdx, const PtrStepSzb& imgIdx, const PtrStepSzb& distance,
@ -761,7 +761,7 @@ void cv::gpu::BFMatcher_GPU::radiusMatchSingle(const GpuMat& query, const GpuMat
if (query.empty() || train.empty())
return;
using namespace cv::gpu::device::bf_radius_match;
using namespace cv::gpu::cudev::bf_radius_match;
typedef void (*caller_t)(const PtrStepSzb& query, const PtrStepSzb& train, float maxDistance, const PtrStepSzb& mask,
const PtrStepSzi& trainIdx, const PtrStepSzf& distance, const PtrStepSz<unsigned int>& nMatches,
@ -890,7 +890,7 @@ void cv::gpu::BFMatcher_GPU::radiusMatchCollection(const GpuMat& query, GpuMat&
if (query.empty() || empty())
return;
using namespace cv::gpu::device::bf_radius_match;
using namespace cv::gpu::cudev::bf_radius_match;
typedef void (*caller_t)(const PtrStepSzb& query, const PtrStepSzb* trains, int n, float maxDistance, const PtrStepSzb* masks,
const PtrStepSzi& trainIdx, const PtrStepSzi& imgIdx, const PtrStepSzf& distance, const PtrStepSz<unsigned int>& nMatches,

10
modules/gpu/src/calib3d.cpp
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@ -47,15 +47,15 @@ using namespace cv::gpu;
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
void cv::gpu::transformPoints(const GpuMat&, const Mat&, const Mat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::transformPoints(const GpuMat&, const Mat&, const Mat&, GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::projectPoints(const GpuMat&, const Mat&, const Mat&, const Mat&, const Mat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::projectPoints(const GpuMat&, const Mat&, const Mat&, const Mat&, const Mat&, GpuMat&, Stream&) { throw_no_cuda(); }
void cv::gpu::solvePnPRansac(const Mat&, const Mat&, const Mat&, const Mat&, Mat&, Mat&, bool, int, float, int, std::vector<int>*) { throw_nogpu(); }
void cv::gpu::solvePnPRansac(const Mat&, const Mat&, const Mat&, const Mat&, Mat&, Mat&, bool, int, float, int, std::vector<int>*) { throw_no_cuda(); }
#else
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace transform_points
{
@ -78,7 +78,7 @@ namespace cv { namespace gpu { namespace device
}
}}}
using namespace ::cv::gpu::device;
using namespace ::cv::gpu::cudev;
namespace
{

24
modules/gpu/src/cascadeclassifier.cpp
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@ -49,15 +49,15 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
cv::gpu::CascadeClassifier_GPU::CascadeClassifier_GPU() { throw_nogpu(); }
cv::gpu::CascadeClassifier_GPU::CascadeClassifier_GPU(const String&) { throw_nogpu(); }
cv::gpu::CascadeClassifier_GPU::~CascadeClassifier_GPU() { throw_nogpu(); }
bool cv::gpu::CascadeClassifier_GPU::empty() const { throw_nogpu(); return true; }
bool cv::gpu::CascadeClassifier_GPU::load(const String&) { throw_nogpu(); return true; }
Size cv::gpu::CascadeClassifier_GPU::getClassifierSize() const { throw_nogpu(); return Size();}
void cv::gpu::CascadeClassifier_GPU::release() { throw_nogpu(); }
int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat&, GpuMat&, double, int, Size) {throw_nogpu(); return -1;}
int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat&, GpuMat&, Size, Size, double, int) {throw_nogpu(); return -1;}
cv::gpu::CascadeClassifier_GPU::CascadeClassifier_GPU() { throw_no_cuda(); }
cv::gpu::CascadeClassifier_GPU::CascadeClassifier_GPU(const String&) { throw_no_cuda(); }
cv::gpu::CascadeClassifier_GPU::~CascadeClassifier_GPU() { throw_no_cuda(); }
bool cv::gpu::CascadeClassifier_GPU::empty() const { throw_no_cuda(); return true; }
bool cv::gpu::CascadeClassifier_GPU::load(const String&) { throw_no_cuda(); return true; }
Size cv::gpu::CascadeClassifier_GPU::getClassifierSize() const { throw_no_cuda(); return Size();}
void cv::gpu::CascadeClassifier_GPU::release() { throw_no_cuda(); }
int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat&, GpuMat&, double, int, Size) {throw_no_cuda(); return -1;}
int cv::gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat&, GpuMat&, Size, Size, double, int) {throw_no_cuda(); return -1;}
#else
@ -340,7 +340,7 @@ struct PyrLavel
cv::Size sWindow;
};
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace lbp
{
@ -441,7 +441,7 @@ public:
acc += level.sFrame.width + 1;
}
device::lbp::classifyPyramid(image.cols, image.rows, NxM.width - 1, NxM.height - 1, iniScale, scaleFactor, total, stage_mat, stage_mat.cols / sizeof(Stage), nodes_mat,
cudev::lbp::classifyPyramid(image.cols, image.rows, NxM.width - 1, NxM.height - 1, iniScale, scaleFactor, total, stage_mat, stage_mat.cols / sizeof(Stage), nodes_mat,
leaves_mat, subsets_mat, features_mat, subsetSize, candidates, dclassified.ptr<unsigned int>(), integral);
}
@ -449,7 +449,7 @@ public:
return 0;
cudaSafeCall( cudaMemcpy(&classified, dclassified.ptr(), sizeof(int), cudaMemcpyDeviceToHost) );
device::lbp::connectedConmonents(candidates, classified, objects, groupThreshold, grouping_eps, dclassified.ptr<unsigned int>());
cudev::lbp::connectedConmonents(candidates, classified, objects, groupThreshold, grouping_eps, dclassified.ptr<unsigned int>());
cudaSafeCall( cudaMemcpy(&classified, dclassified.ptr(), sizeof(int), cudaMemcpyDeviceToHost) );
cudaSafeCall( cudaDeviceSynchronize() );

170
modules/gpu/src/color.cpp
Unescape View File

@ -47,17 +47,17 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
void cv::gpu::cvtColor(const GpuMat&, GpuMat&, int, int, Stream&) { throw_nogpu(); }
void cv::gpu::demosaicing(const GpuMat&, GpuMat&, int, int, Stream&) { throw_nogpu(); }
void cv::gpu::swapChannels(GpuMat&, const int[], Stream&) { throw_nogpu(); }
void cv::gpu::gammaCorrection(const GpuMat&, GpuMat&, bool, Stream&) { throw_nogpu(); }
void cv::gpu::cvtColor(const GpuMat&, GpuMat&, int, int, Stream&) { throw_no_cuda(); }
void cv::gpu::demosaicing(const GpuMat&, GpuMat&, int, int, Stream&) { throw_no_cuda(); }
void cv::gpu::swapChannels(GpuMat&, const int[], Stream&) { throw_no_cuda(); }
void cv::gpu::gammaCorrection(const GpuMat&, GpuMat&, bool, Stream&) { throw_no_cuda(); }
#else /* !defined (HAVE_CUDA) */
#include "cvt_color_internal.h"
namespace cv { namespace gpu {
namespace device
namespace cudev
{
template <int cn>
void Bayer2BGR_8u_gpu(PtrStepSzb src, PtrStepSzb dst, bool blue_last, bool start_with_green, cudaStream_t stream);
@ -69,7 +69,7 @@ namespace cv { namespace gpu {
}
}}
using namespace ::cv::gpu::device;
using namespace ::cv::gpu::cudev;
namespace
{
@ -77,7 +77,7 @@ namespace
void bgr_to_rgb(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {bgr_to_rgb_8u, 0, bgr_to_rgb_16u, 0, 0, bgr_to_rgb_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -90,7 +90,7 @@ namespace
void bgr_to_bgra(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {bgr_to_bgra_8u, 0, bgr_to_bgra_16u, 0, 0, bgr_to_bgra_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -103,7 +103,7 @@ namespace
void bgr_to_rgba(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {bgr_to_rgba_8u, 0, bgr_to_rgba_16u, 0, 0, bgr_to_rgba_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -116,7 +116,7 @@ namespace
void bgra_to_bgr(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {bgra_to_bgr_8u, 0, bgra_to_bgr_16u, 0, 0, bgra_to_bgr_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -129,7 +129,7 @@ namespace
void bgra_to_rgb(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {bgra_to_rgb_8u, 0, bgra_to_rgb_16u, 0, 0, bgra_to_rgb_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -142,7 +142,7 @@ namespace
void bgra_to_rgba(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {bgra_to_rgba_8u, 0, bgra_to_rgba_16u, 0, 0, bgra_to_rgba_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -160,7 +160,7 @@ namespace
dst.create(src.size(), CV_8UC2);
device::bgr_to_bgr555(src, dst, StreamAccessor::getStream(stream));
cudev::bgr_to_bgr555(src, dst, StreamAccessor::getStream(stream));
}
void bgr_to_bgr565(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -170,7 +170,7 @@ namespace
dst.create(src.size(), CV_8UC2);
device::bgr_to_bgr565(src, dst, StreamAccessor::getStream(stream));
cudev::bgr_to_bgr565(src, dst, StreamAccessor::getStream(stream));
}
void rgb_to_bgr555(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -180,7 +180,7 @@ namespace
dst.create(src.size(), CV_8UC2);
device::rgb_to_bgr555(src, dst, StreamAccessor::getStream(stream));
cudev::rgb_to_bgr555(src, dst, StreamAccessor::getStream(stream));
}
void rgb_to_bgr565(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -190,7 +190,7 @@ namespace
dst.create(src.size(), CV_8UC2);
device::rgb_to_bgr565(src, dst, StreamAccessor::getStream(stream));
cudev::rgb_to_bgr565(src, dst, StreamAccessor::getStream(stream));
}
void bgra_to_bgr555(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -200,7 +200,7 @@ namespace
dst.create(src.size(), CV_8UC2);
device::bgra_to_bgr555(src, dst, StreamAccessor::getStream(stream));
cudev::bgra_to_bgr555(src, dst, StreamAccessor::getStream(stream));
}
void bgra_to_bgr565(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -210,7 +210,7 @@ namespace
dst.create(src.size(), CV_8UC2);
device::bgra_to_bgr565(src, dst, StreamAccessor::getStream(stream));
cudev::bgra_to_bgr565(src, dst, StreamAccessor::getStream(stream));
}
void rgba_to_bgr555(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -220,7 +220,7 @@ namespace
dst.create(src.size(), CV_8UC2);
device::rgba_to_bgr555(src, dst, StreamAccessor::getStream(stream));
cudev::rgba_to_bgr555(src, dst, StreamAccessor::getStream(stream));
}
void rgba_to_bgr565(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -230,7 +230,7 @@ namespace
dst.create(src.size(), CV_8UC2);
device::rgba_to_bgr565(src, dst, StreamAccessor::getStream(stream));
cudev::rgba_to_bgr565(src, dst, StreamAccessor::getStream(stream));
}
void bgr555_to_rgb(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -240,7 +240,7 @@ namespace
dst.create(src.size(), CV_8UC3);
device::bgr555_to_rgb(src, dst, StreamAccessor::getStream(stream));
cudev::bgr555_to_rgb(src, dst, StreamAccessor::getStream(stream));
}
void bgr565_to_rgb(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -250,7 +250,7 @@ namespace
dst.create(src.size(), CV_8UC3);
device::bgr565_to_rgb(src, dst, StreamAccessor::getStream(stream));
cudev::bgr565_to_rgb(src, dst, StreamAccessor::getStream(stream));
}
void bgr555_to_bgr(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -260,7 +260,7 @@ namespace
dst.create(src.size(), CV_8UC3);
device::bgr555_to_bgr(src, dst, StreamAccessor::getStream(stream));
cudev::bgr555_to_bgr(src, dst, StreamAccessor::getStream(stream));
}
void bgr565_to_bgr(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -270,7 +270,7 @@ namespace
dst.create(src.size(), CV_8UC3);
device::bgr565_to_bgr(src, dst, StreamAccessor::getStream(stream));
cudev::bgr565_to_bgr(src, dst, StreamAccessor::getStream(stream));
}
void bgr555_to_rgba(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -280,7 +280,7 @@ namespace
dst.create(src.size(), CV_8UC4);
device::bgr555_to_rgba(src, dst, StreamAccessor::getStream(stream));
cudev::bgr555_to_rgba(src, dst, StreamAccessor::getStream(stream));
}
void bgr565_to_rgba(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -290,7 +290,7 @@ namespace
dst.create(src.size(), CV_8UC4);
device::bgr565_to_rgba(src, dst, StreamAccessor::getStream(stream));
cudev::bgr565_to_rgba(src, dst, StreamAccessor::getStream(stream));
}
void bgr555_to_bgra(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -300,7 +300,7 @@ namespace
dst.create(src.size(), CV_8UC4);
device::bgr555_to_bgra(src, dst, StreamAccessor::getStream(stream));
cudev::bgr555_to_bgra(src, dst, StreamAccessor::getStream(stream));
}
void bgr565_to_bgra(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -310,12 +310,12 @@ namespace
dst.create(src.size(), CV_8UC4);
device::bgr565_to_bgra(src, dst, StreamAccessor::getStream(stream));
cudev::bgr565_to_bgra(src, dst, StreamAccessor::getStream(stream));
}
void gray_to_bgr(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {gray_to_bgr_8u, 0, gray_to_bgr_16u, 0, 0, gray_to_bgr_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -328,7 +328,7 @@ namespace
void gray_to_bgra(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {gray_to_bgra_8u, 0, gray_to_bgra_16u, 0, 0, gray_to_bgra_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -346,7 +346,7 @@ namespace
dst.create(src.size(), CV_8UC2);
device::gray_to_bgr555(src, dst, StreamAccessor::getStream(stream));
cudev::gray_to_bgr555(src, dst, StreamAccessor::getStream(stream));
}
void gray_to_bgr565(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -356,7 +356,7 @@ namespace
dst.create(src.size(), CV_8UC2);
device::gray_to_bgr565(src, dst, StreamAccessor::getStream(stream));
cudev::gray_to_bgr565(src, dst, StreamAccessor::getStream(stream));
}
void bgr555_to_gray(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -366,7 +366,7 @@ namespace
dst.create(src.size(), CV_8UC1);
device::bgr555_to_gray(src, dst, StreamAccessor::getStream(stream));
cudev::bgr555_to_gray(src, dst, StreamAccessor::getStream(stream));
}
void bgr565_to_gray(const GpuMat& src, GpuMat& dst, int, Stream& stream)
@ -376,12 +376,12 @@ namespace
dst.create(src.size(), CV_8UC1);
device::bgr565_to_gray(src, dst, StreamAccessor::getStream(stream));
cudev::bgr565_to_gray(src, dst, StreamAccessor::getStream(stream));
}
void rgb_to_gray(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {rgb_to_gray_8u, 0, rgb_to_gray_16u, 0, 0, rgb_to_gray_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -394,7 +394,7 @@ namespace
void bgr_to_gray(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {bgr_to_gray_8u, 0, bgr_to_gray_16u, 0, 0, bgr_to_gray_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -407,7 +407,7 @@ namespace
void rgba_to_gray(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {rgba_to_gray_8u, 0, rgba_to_gray_16u, 0, 0, rgba_to_gray_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -420,7 +420,7 @@ namespace
void bgra_to_gray(const GpuMat& src, GpuMat& dst, int, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[] = {bgra_to_gray_8u, 0, bgra_to_gray_16u, 0, 0, bgra_to_gray_32f};
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32F);
@ -433,7 +433,7 @@ namespace
void rgb_to_yuv(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -459,7 +459,7 @@ namespace
void bgr_to_yuv(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -485,7 +485,7 @@ namespace
void yuv_to_rgb(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -511,7 +511,7 @@ namespace
void yuv_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -537,7 +537,7 @@ namespace
void rgb_to_YCrCb(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -563,7 +563,7 @@ namespace
void bgr_to_YCrCb(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -589,7 +589,7 @@ namespace
void YCrCb_to_rgb(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -615,7 +615,7 @@ namespace
void YCrCb_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -641,7 +641,7 @@ namespace
void rgb_to_xyz(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -667,7 +667,7 @@ namespace
void bgr_to_xyz(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -693,7 +693,7 @@ namespace
void xyz_to_rgb(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -719,7 +719,7 @@ namespace
void xyz_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -745,7 +745,7 @@ namespace
void rgb_to_hsv(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -771,7 +771,7 @@ namespace
void bgr_to_hsv(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -797,7 +797,7 @@ namespace
void hsv_to_rgb(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -823,7 +823,7 @@ namespace
void hsv_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -849,7 +849,7 @@ namespace
void rgb_to_hls(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -875,7 +875,7 @@ namespace
void bgr_to_hls(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -901,7 +901,7 @@ namespace
void hls_to_rgb(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -927,7 +927,7 @@ namespace
void hls_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -953,7 +953,7 @@ namespace
void rgb_to_hsv_full(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -979,7 +979,7 @@ namespace
void bgr_to_hsv_full(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -1005,7 +1005,7 @@ namespace
void hsv_to_rgb_full(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -1031,7 +1031,7 @@ namespace
void hsv_to_bgr_full(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -1057,7 +1057,7 @@ namespace
void rgb_to_hls_full(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -1083,7 +1083,7 @@ namespace
void bgr_to_hls_full(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -1109,7 +1109,7 @@ namespace
void hls_to_rgb_full(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -1135,7 +1135,7 @@ namespace
void hls_to_bgr_full(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][6] =
{
{
@ -1161,7 +1161,7 @@ namespace
void bgr_to_lab(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1187,7 +1187,7 @@ namespace
void rgb_to_lab(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1213,7 +1213,7 @@ namespace
void lbgr_to_lab(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1239,7 +1239,7 @@ namespace
void lrgb_to_lab(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1265,7 +1265,7 @@ namespace
void lab_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1291,7 +1291,7 @@ namespace
void lab_to_rgb(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1317,7 +1317,7 @@ namespace
void lab_to_lbgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1343,7 +1343,7 @@ namespace
void lab_to_lrgb(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1369,7 +1369,7 @@ namespace
void bgr_to_luv(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1395,7 +1395,7 @@ namespace
void rgb_to_luv(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1421,7 +1421,7 @@ namespace
void lbgr_to_luv(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1447,7 +1447,7 @@ namespace
void lrgb_to_luv(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1473,7 +1473,7 @@ namespace
void luv_to_bgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1499,7 +1499,7 @@ namespace
void luv_to_rgb(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1525,7 +1525,7 @@ namespace
void luv_to_lbgr(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1551,7 +1551,7 @@ namespace
void luv_to_lrgb(const GpuMat& src, GpuMat& dst, int dcn, Stream& stream)
{
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
static const gpu_func_t funcs[2][2][2] =
{
{
@ -1895,9 +1895,9 @@ void cv::gpu::demosaicing(const GpuMat& src, GpuMat& dst, int code, int dcn, Str
code == COLOR_BayerRG2BGR_MHT || code == COLOR_BayerGR2BGR_MHT ? 0 : 1);
if (dcn == 3)
device::MHCdemosaic<3>(srcWhole, make_int2(ofs.x, ofs.y), dst, firstRed, StreamAccessor::getStream(stream));
cudev::MHCdemosaic<3>(srcWhole, make_int2(ofs.x, ofs.y), dst, firstRed, StreamAccessor::getStream(stream));
else
device::MHCdemosaic<4>(srcWhole, make_int2(ofs.x, ofs.y), dst, firstRed, StreamAccessor::getStream(stream));
cudev::MHCdemosaic<4>(srcWhole, make_int2(ofs.x, ofs.y), dst, firstRed, StreamAccessor::getStream(stream));
break;
}
@ -1917,7 +1917,7 @@ void cv::gpu::demosaicing(const GpuMat& src, GpuMat& dst, int code, int dcn, Str
const int2 firstRed = make_int2(code == COLOR_BayerRG2BGR_MHT || code == COLOR_BayerGB2BGR_MHT ? 0 : 1,
code == COLOR_BayerRG2BGR_MHT || code == COLOR_BayerGR2BGR_MHT ? 0 : 1);
device::MHCdemosaic<1>(srcWhole, make_int2(ofs.x, ofs.y), dst, firstRed, StreamAccessor::getStream(stream));
cudev::MHCdemosaic<1>(srcWhole, make_int2(ofs.x, ofs.y), dst, firstRed, StreamAccessor::getStream(stream));
break;
}

137
modules/gpu/src/cu_safe_call.cpp
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@ -1,137 +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 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.
//
// 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*/
#include "cu_safe_call.h"
#ifdef HAVE_CUDA
namespace
{
#define error_entry(entry) { entry, #entry }
struct ErrorEntry
{
int code;
const char* str;
};
class ErrorEntryComparer
{
public:
inline ErrorEntryComparer(int code) : code_(code) {}
inline bool operator()(const ErrorEntry& e) const { return e.code == code_; }
private:
int code_;
};
cv::String getErrorString(int code, const ErrorEntry* errors, size_t n)
{
size_t idx = std::find_if(errors, errors + n, ErrorEntryComparer(code)) - errors;
const char* msg = (idx != n) ? errors[idx].str : "Unknown error code";
cv::String str = cv::format("%s [Code = %d]", msg, code);
return str;
}
const ErrorEntry cu_errors [] =
{
error_entry( CUDA_SUCCESS ),
error_entry( CUDA_ERROR_INVALID_VALUE ),
error_entry( CUDA_ERROR_OUT_OF_MEMORY ),
error_entry( CUDA_ERROR_NOT_INITIALIZED ),
error_entry( CUDA_ERROR_DEINITIALIZED ),
error_entry( CUDA_ERROR_PROFILER_DISABLED ),
error_entry( CUDA_ERROR_PROFILER_NOT_INITIALIZED ),
error_entry( CUDA_ERROR_PROFILER_ALREADY_STARTED ),
error_entry( CUDA_ERROR_PROFILER_ALREADY_STOPPED ),
error_entry( CUDA_ERROR_NO_DEVICE ),
error_entry( CUDA_ERROR_INVALID_DEVICE ),
error_entry( CUDA_ERROR_INVALID_IMAGE ),
error_entry( CUDA_ERROR_INVALID_CONTEXT ),
error_entry( CUDA_ERROR_CONTEXT_ALREADY_CURRENT ),
error_entry( CUDA_ERROR_MAP_FAILED ),
error_entry( CUDA_ERROR_UNMAP_FAILED ),
error_entry( CUDA_ERROR_ARRAY_IS_MAPPED ),
error_entry( CUDA_ERROR_ALREADY_MAPPED ),
error_entry( CUDA_ERROR_NO_BINARY_FOR_GPU ),
error_entry( CUDA_ERROR_ALREADY_ACQUIRED ),
error_entry( CUDA_ERROR_NOT_MAPPED ),
error_entry( CUDA_ERROR_NOT_MAPPED_AS_ARRAY ),
error_entry( CUDA_ERROR_NOT_MAPPED_AS_POINTER ),
error_entry( CUDA_ERROR_ECC_UNCORRECTABLE ),
error_entry( CUDA_ERROR_UNSUPPORTED_LIMIT ),
error_entry( CUDA_ERROR_CONTEXT_ALREADY_IN_USE ),
error_entry( CUDA_ERROR_INVALID_SOURCE ),
error_entry( CUDA_ERROR_FILE_NOT_FOUND ),
error_entry( CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND ),
error_entry( CUDA_ERROR_SHARED_OBJECT_INIT_FAILED ),
error_entry( CUDA_ERROR_OPERATING_SYSTEM ),
error_entry( CUDA_ERROR_INVALID_HANDLE ),
error_entry( CUDA_ERROR_NOT_FOUND ),
error_entry( CUDA_ERROR_NOT_READY ),
error_entry( CUDA_ERROR_LAUNCH_FAILED ),
error_entry( CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES ),
error_entry( CUDA_ERROR_LAUNCH_TIMEOUT ),
error_entry( CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING ),
error_entry( CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED ),
error_entry( CUDA_ERROR_PEER_ACCESS_NOT_ENABLED ),
error_entry( CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE ),
error_entry( CUDA_ERROR_CONTEXT_IS_DESTROYED ),
error_entry( CUDA_ERROR_ASSERT ),
error_entry( CUDA_ERROR_TOO_MANY_PEERS ),
error_entry( CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED ),
error_entry( CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED ),
error_entry( CUDA_ERROR_UNKNOWN )
};
const size_t cu_errors_num = sizeof(cu_errors) / sizeof(cu_errors[0]);
}
cv::String cv::gpu::detail::cuGetErrString(CUresult res)
{
return getErrorString(res, cu_errors, cu_errors_num);
}
#endif // HAVE_CUDA

67
modules/gpu/src/cu_safe_call.h
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@ -1,67 +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 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.
//
// 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 __CU_SAFE_CALL_H__
#define __CU_SAFE_CALL_H__
#include "precomp.hpp"
#ifdef HAVE_CUDA
namespace cv { namespace gpu {
namespace detail
{
String cuGetErrString(CUresult res);
inline void cuSafeCall_impl(CUresult res, const char* file, int line)
{
if (res != CUDA_SUCCESS)
cv::error( cv::Exception(CV_GpuApiCallError, cuGetErrString(res), "unknown function", file, line) );
}
}
}}
#define cuSafeCall( op ) cv::gpu::detail::cuSafeCall_impl( (op), __FILE__, __LINE__ )
#endif // HAVE_CUDA
#endif // __CU_SAFE_CALL_H__

4
modules/gpu/src/cuda/NV12ToARGB.cu
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@ -49,9 +49,9 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/core/cuda/common.hpp"
namespace cv { namespace gpu { namespace device {
namespace cv { namespace gpu { namespace cudev {
namespace video_decoding
{
__constant__ uint constAlpha = ((uint)0xff << 24);

20
modules/gpu/src/cuda/bf_knnmatch.cu
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@ -42,15 +42,15 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/utility.hpp"
#include "opencv2/gpu/device/reduce.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/vec_distance.hpp"
#include "opencv2/gpu/device/datamov_utils.hpp"
#include "opencv2/gpu/device/warp_shuffle.hpp"
namespace cv { namespace gpu { namespace device
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/utility.hpp"
#include "opencv2/core/cuda/reduce.hpp"
#include "opencv2/core/cuda/limits.hpp"
#include "opencv2/core/cuda/vec_distance.hpp"
#include "opencv2/core/cuda/datamov_utils.hpp"
#include "opencv2/core/cuda/warp_shuffle.hpp"
namespace cv { namespace gpu { namespace cudev
{
namespace bf_knnmatch
{
@ -1249,7 +1249,7 @@ namespace cv { namespace gpu { namespace device
//template void match2Hamming_gpu<short >(const PtrStepSzb& query, const PtrStepSzb& trains, const PtrStepSz<PtrStepb>& masks, const PtrStepSzb& trainIdx, const PtrStepSzb& imgIdx, const PtrStepSzb& distance, cudaStream_t stream);
template void match2Hamming_gpu<int >(const PtrStepSzb& query, const PtrStepSzb& trains, const PtrStepSz<PtrStepb>& masks, const PtrStepSzb& trainIdx, const PtrStepSzb& imgIdx, const PtrStepSzb& distance, cudaStream_t stream);
} // namespace bf_knnmatch
}}} // namespace cv { namespace gpu { namespace device {
}}} // namespace cv { namespace gpu { namespace cudev {
#endif /* CUDA_DISABLER */

18
modules/gpu/src/cuda/bf_match.cu
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@ -42,14 +42,14 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/utility.hpp"
#include "opencv2/gpu/device/reduce.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/vec_distance.hpp"
#include "opencv2/gpu/device/datamov_utils.hpp"
namespace cv { namespace gpu { namespace device
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/utility.hpp"
#include "opencv2/core/cuda/reduce.hpp"
#include "opencv2/core/cuda/limits.hpp"
#include "opencv2/core/cuda/vec_distance.hpp"
#include "opencv2/core/cuda/datamov_utils.hpp"
namespace cv { namespace gpu { namespace cudev
{
namespace bf_match
{
@ -768,7 +768,7 @@ namespace cv { namespace gpu { namespace device
//template void matchHamming_gpu<short >(const PtrStepSzb& query, const PtrStepSzb& trains, const PtrStepSz<PtrStepb>& masks, const PtrStepSzi& trainIdx, const PtrStepSzi& imgIdx, const PtrStepSzf& distance, cudaStream_t stream);
template void matchHamming_gpu<int >(const PtrStepSzb& query, const PtrStepSzb& trains, const PtrStepSz<PtrStepb>& masks, const PtrStepSzi& trainIdx, const PtrStepSzi& imgIdx, const PtrStepSzf& distance, cudaStream_t stream);
} // namespace bf_match
}}} // namespace cv { namespace gpu { namespace device {
}}} // namespace cv { namespace gpu { namespace cudev {
#endif /* CUDA_DISABLER */

14
modules/gpu/src/cuda/bf_radius_match.cu
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@ -42,13 +42,13 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/utility.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/vec_distance.hpp"
#include "opencv2/gpu/device/datamov_utils.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/utility.hpp"
#include "opencv2/core/cuda/limits.hpp"
#include "opencv2/core/cuda/vec_distance.hpp"
#include "opencv2/core/cuda/datamov_utils.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace bf_radius_match
{
@ -457,7 +457,7 @@ namespace cv { namespace gpu { namespace device
//template void matchHamming_gpu<short >(const PtrStepSzb& query, const PtrStepSzb* trains, int n, float maxDistance, const PtrStepSzb* masks, const PtrStepSzi& trainIdx, const PtrStepSzi& imgIdx, const PtrStepSzf& distance, const PtrStepSz<unsigned int>& nMatches, cudaStream_t stream);
template void matchHamming_gpu<int >(const PtrStepSzb& query, const PtrStepSzb* trains, int n, float maxDistance, const PtrStepSzb* masks, const PtrStepSzi& trainIdx, const PtrStepSzi& imgIdx, const PtrStepSzf& distance, const PtrStepSz<unsigned int>& nMatches, cudaStream_t stream);
} // namespace bf_radius_match
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

8
modules/gpu/src/cuda/bgfg_gmg.cu
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@ -42,11 +42,11 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/limits.hpp"
namespace cv { namespace gpu { namespace device {
namespace cv { namespace gpu { namespace cudev {
namespace bgfg_gmg
{
__constant__ int c_width;

10
modules/gpu/src/cuda/bgfg_mog.cu
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@ -42,12 +42,12 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/limits.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace mog
{

12
modules/gpu/src/cuda/bilateral_filter.cu
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@ -42,10 +42,10 @@
#if !defined CUDA_DISABLER
#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"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/border_interpolate.hpp"
using namespace cv::gpu;
@ -55,7 +55,7 @@ typedef unsigned short ushort;
//////////////////////////////////////////////////////////////////////////////////
/// Bilateral filtering
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace imgproc
{
@ -163,7 +163,7 @@ namespace cv { namespace gpu { namespace device
#define OCV_INSTANTIATE_BILATERAL_FILTER(T) \
template void cv::gpu::device::imgproc::bilateral_filter_gpu<T>(const PtrStepSzb&, PtrStepSzb, int, float, float, int, cudaStream_t);
template void cv::gpu::cudev::imgproc::bilateral_filter_gpu<T>(const PtrStepSzb&, PtrStepSzb, int, float, float, int, cudaStream_t);
OCV_INSTANTIATE_BILATERAL_FILTER(uchar)
//OCV_INSTANTIATE_BILATERAL_FILTER(uchar2)

6
modules/gpu/src/cuda/blend.cu
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@ -42,9 +42,9 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/core/cuda/common.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace blend
{
@ -115,7 +115,7 @@ namespace cv { namespace gpu { namespace device
cudaSafeCall(cudaDeviceSynchronize());
}
} // namespace blend
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

16
modules/gpu/src/cuda/calib3d.cu
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@ -42,12 +42,12 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/transform.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/reduce.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/transform.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/reduce.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
#define SOLVE_PNP_RANSAC_MAX_NUM_ITERS 200
@ -79,7 +79,7 @@ namespace cv { namespace gpu { namespace device
cudaSafeCall(cudaMemcpyToSymbol(crot1, rot + 3, sizeof(float) * 3));
cudaSafeCall(cudaMemcpyToSymbol(crot2, rot + 6, sizeof(float) * 3));
cudaSafeCall(cudaMemcpyToSymbol(ctransl, transl, sizeof(float) * 3));
cv::gpu::device::transform(src, dst, TransformOp(), WithOutMask(), stream);
cv::gpu::cudev::transform(src, dst, TransformOp(), WithOutMask(), stream);
}
} // namespace transform_points
@ -120,7 +120,7 @@ namespace cv { namespace gpu { namespace device
cudaSafeCall(cudaMemcpyToSymbol(ctransl, transl, sizeof(float) * 3));
cudaSafeCall(cudaMemcpyToSymbol(cproj0, proj, sizeof(float) * 3));
cudaSafeCall(cudaMemcpyToSymbol(cproj1, proj + 3, sizeof(float) * 3));
cv::gpu::device::transform(src, dst, ProjectOp(), WithOutMask(), stream);
cv::gpu::cudev::transform(src, dst, ProjectOp(), WithOutMask(), stream);
}
} // namespace project_points
@ -187,7 +187,7 @@ namespace cv { namespace gpu { namespace device
cudaSafeCall( cudaDeviceSynchronize() );
}
} // namespace solvepnp_ransac
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

16
modules/gpu/src/cuda/canny.cu
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@ -44,14 +44,14 @@
#include <utility>
#include <algorithm>//std::swap
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/emulation.hpp"
#include "opencv2/gpu/device/transform.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/utility.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/emulation.hpp"
#include "opencv2/core/cuda/transform.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/utility.hpp"
using namespace cv::gpu;
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
namespace canny
{
@ -77,7 +77,7 @@ namespace canny
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <> struct TransformFunctorTraits<canny::L1> : DefaultTransformFunctorTraits<canny::L1>
{
@ -475,7 +475,7 @@ namespace canny
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <> struct TransformFunctorTraits<canny::GetEdges> : DefaultTransformFunctorTraits<canny::GetEdges>
{

10
modules/gpu/src/cuda/ccomponetns.cu
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@ -42,15 +42,15 @@
#if !defined CUDA_DISABLER
#include <opencv2/gpu/device/common.hpp>
#include <opencv2/gpu/device/vec_traits.hpp>
#include <opencv2/gpu/device/vec_math.hpp>
#include <opencv2/gpu/device/emulation.hpp>
#include <opencv2/core/cuda/common.hpp>
#include <opencv2/core/cuda/vec_traits.hpp>
#include <opencv2/core/cuda/vec_math.hpp>
#include <opencv2/core/cuda/emulation.hpp>
#include <iostream>
#include <stdio.h>
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace ccl
{

14
modules/gpu/src/cuda/clahe.cu
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@ -42,15 +42,15 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/emulation.hpp"
#include "opencv2/gpu/device/scan.hpp"
#include "opencv2/gpu/device/reduce.hpp"
#include "opencv2/gpu/device/saturate_cast.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/emulation.hpp"
#include "opencv2/core/cuda/scan.hpp"
#include "opencv2/core/cuda/reduce.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
using namespace cv::gpu;
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
namespace clahe
{

12
modules/gpu/src/cuda/color.cu
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@ -42,12 +42,12 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/transform.hpp"
#include "opencv2/gpu/device/color.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/transform.hpp"
#include "opencv2/core/cuda/color.hpp"
#include "cvt_color_internal.h"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
OPENCV_GPU_TRANSFORM_FUNCTOR_TRAITS(bgra_to_rgba_traits<uchar>::functor_type)
{
@ -229,7 +229,7 @@ namespace cv { namespace gpu { namespace device
traits::functor_type functor = traits::create_functor(); \
typedef typename traits::functor_type::argument_type src_t; \
typedef typename traits::functor_type::result_type dst_t; \
cv::gpu::device::transform((PtrStepSz<src_t>)src, (PtrStepSz<dst_t>)dst, functor, WithOutMask(), stream); \
cv::gpu::cudev::transform((PtrStepSz<src_t>)src, (PtrStepSz<dst_t>)dst, functor, WithOutMask(), stream); \
}
#define OPENCV_GPU_IMPLEMENT_CVTCOLOR_ONE(name) \
@ -456,6 +456,6 @@ namespace cv { namespace gpu { namespace device
#undef OPENCV_GPU_IMPLEMENT_CVTCOLOR_ALL
#undef OPENCV_GPU_IMPLEMENT_CVTCOLOR_8U32F
#undef OPENCV_GPU_IMPLEMENT_CVTCOLOR_8U32F_FULL
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

10
modules/gpu/src/cuda/column_filter.h
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@ -40,13 +40,13 @@
//
//M*/
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/saturate_cast.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/border_interpolate.hpp"
using namespace cv::gpu;
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
namespace column_filter
{

8
modules/gpu/src/cuda/copy_make_border.cu
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@ -42,10 +42,10 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/border_interpolate.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace imgproc
{
@ -126,6 +126,6 @@ namespace cv { namespace gpu { namespace device
template void copyMakeBorder_gpu<float, 3>(const PtrStepSzb& src, const PtrStepSzb& dst, int top, int left, int borderMode, const float* borderValue, cudaStream_t stream);
template void copyMakeBorder_gpu<float, 4>(const PtrStepSzb& src, const PtrStepSzb& dst, int top, int left, int borderMode, const float* borderValue, cudaStream_t stream);
} // namespace imgproc
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

16
modules/gpu/src/cuda/debayer.cu
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@ -42,14 +42,14 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/color.hpp"
#include "opencv2/gpu/device/saturate_cast.hpp"
namespace cv { namespace gpu { namespace device
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/limits.hpp"
#include "opencv2/core/cuda/color.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct Bayer2BGR;

10
modules/gpu/src/cuda/disp_bilateral_filter.cu
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@ -42,10 +42,10 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/limits.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace disp_bilateral_filter
{
@ -208,7 +208,7 @@ namespace cv { namespace gpu { namespace device
}
break;
default:
cv::gpu::error("Unsupported channels count", __FILE__, __LINE__, "disp_bilateral_filter");
CV_Error(cv::Error::BadNumChannels, "Unsupported channels count");
}
if (stream == 0)
@ -218,6 +218,6 @@ namespace cv { namespace gpu { namespace device
template void disp_bilateral_filter<uchar>(PtrStepSz<uchar> disp, PtrStepSzb img, int channels, int iters, cudaStream_t stream);
template void disp_bilateral_filter<short>(PtrStepSz<short> disp, PtrStepSzb img, int channels, int iters, cudaStream_t stream);
} // namespace bilateral_filter
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

182
modules/gpu/src/cuda/element_operations.cu
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@ -42,16 +42,16 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/transform.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/saturate_cast.hpp"
#include "opencv2/gpu/device/simd_functions.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/transform.hpp"
#include "opencv2/core/cuda/limits.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
#include "opencv2/core/cuda/simd_functions.hpp"
using namespace cv::gpu;
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
namespace arithm
{
@ -193,7 +193,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <> struct TransformFunctorTraits< arithm::VAdd4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
{
@ -216,21 +216,21 @@ namespace arithm
{
void addMat_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VAdd4(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VAdd4(), WithOutMask(), stream);
}
void addMat_v2(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VAdd2(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VAdd2(), WithOutMask(), stream);
}
template <typename T, typename D>
void addMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream)
{
if (mask.data)
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, AddMat<T, D>(), mask, stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, AddMat<T, D>(), mask, stream);
else
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, AddMat<T, D>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, AddMat<T, D>(), WithOutMask(), stream);
}
template void addMat<uchar, uchar>(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream);
@ -308,7 +308,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T, typename S, typename D> struct TransformFunctorTraits< arithm::AddScalar<T, S, D> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(D)>
{
@ -323,9 +323,9 @@ namespace arithm
AddScalar<T, S, D> op(static_cast<S>(val));
if (mask.data)
transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, mask, stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, mask, stream);
else
transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
}
template void addScalar<uchar, float, uchar>(PtrStepSzb src1, double val, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream);
@ -428,7 +428,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <> struct TransformFunctorTraits< arithm::VSub4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
{
@ -451,21 +451,21 @@ namespace arithm
{
void subMat_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VSub4(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VSub4(), WithOutMask(), stream);
}
void subMat_v2(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VSub2(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VSub2(), WithOutMask(), stream);
}
template <typename T, typename D>
void subMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream)
{
if (mask.data)
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, SubMat<T, D>(), mask, stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, SubMat<T, D>(), mask, stream);
else
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, SubMat<T, D>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, SubMat<T, D>(), WithOutMask(), stream);
}
template void subMat<uchar, uchar>(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream);
@ -536,9 +536,9 @@ namespace arithm
AddScalar<T, S, D> op(-static_cast<S>(val));
if (mask.data)
transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, mask, stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, mask, stream);
else
transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
}
template void subScalar<uchar, float, uchar>(PtrStepSzb src1, double val, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream);
@ -657,7 +657,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <> struct TransformFunctorTraits<arithm::Mul_8uc4_32f> : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
{
@ -676,12 +676,12 @@ namespace arithm
{
void mulMat_8uc4_32f(PtrStepSz<uint> src1, PtrStepSzf src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, Mul_8uc4_32f(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, Mul_8uc4_32f(), WithOutMask(), stream);
}
void mulMat_16sc4_32f(PtrStepSz<short4> src1, PtrStepSzf src2, PtrStepSz<short4> dst, cudaStream_t stream)
{
transform(src1, src2, dst, Mul_16sc4_32f(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, Mul_16sc4_32f(), WithOutMask(), stream);
}
template <typename T, typename S, typename D>
@ -690,12 +690,12 @@ namespace arithm
if (scale == 1)
{
Mul<T, D> op;
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
}
else
{
MulScale<T, S, D> op(static_cast<S>(scale));
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
}
}
@ -774,7 +774,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T, typename S, typename D> struct TransformFunctorTraits< arithm::MulScalar<T, S, D> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(D)>
{
@ -787,7 +787,7 @@ namespace arithm
void mulScalar(PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream)
{
MulScalar<T, S, D> op(static_cast<S>(val));
transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
}
template void mulScalar<uchar, float, uchar>(PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream);
@ -925,7 +925,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <> struct TransformFunctorTraits<arithm::Div_8uc4_32f> : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
{
@ -944,12 +944,12 @@ namespace arithm
{
void divMat_8uc4_32f(PtrStepSz<uint> src1, PtrStepSzf src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, Div_8uc4_32f(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, Div_8uc4_32f(), WithOutMask(), stream);
}
void divMat_16sc4_32f(PtrStepSz<short4> src1, PtrStepSzf src2, PtrStepSz<short4> dst, cudaStream_t stream)
{
transform(src1, src2, dst, Div_16sc4_32f(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, Div_16sc4_32f(), WithOutMask(), stream);
}
template <typename T, typename S, typename D>
@ -958,12 +958,12 @@ namespace arithm
if (scale == 1)
{
Div<T, D> op;
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
}
else
{
DivScale<T, S, D> op(static_cast<S>(scale));
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
}
}
@ -1033,7 +1033,7 @@ namespace arithm
void divScalar(PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream)
{
MulScalar<T, S, D> op(static_cast<S>(1.0 / val));
transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
}
template void divScalar<uchar, float, uchar>(PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream);
@ -1111,7 +1111,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T, typename S, typename D> struct TransformFunctorTraits< arithm::DivInv<T, S, D> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(D)>
{
@ -1124,7 +1124,7 @@ namespace arithm
void divInv(PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream)
{
DivInv<T, S, D> op(static_cast<S>(val));
transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
}
template void divInv<uchar, float, uchar>(PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream);
@ -1240,7 +1240,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <> struct TransformFunctorTraits< arithm::VAbsDiff4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
{
@ -1263,18 +1263,18 @@ namespace arithm
{
void absDiffMat_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VAbsDiff4(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VAbsDiff4(), WithOutMask(), stream);
}
void absDiffMat_v2(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VAbsDiff2(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VAbsDiff2(), WithOutMask(), stream);
}
template <typename T>
void absDiffMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, AbsDiffMat<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, AbsDiffMat<T>(), WithOutMask(), stream);
}
template void absDiffMat<uchar>(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
@ -1305,7 +1305,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T, typename S> struct TransformFunctorTraits< arithm::AbsDiffScalar<T, S> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
{
@ -1319,7 +1319,7 @@ namespace arithm
{
AbsDiffScalar<T, S> op(static_cast<S>(val));
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, op, WithOutMask(), stream);
}
template void absDiffScalar<uchar, float>(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
@ -1334,7 +1334,7 @@ namespace arithm
//////////////////////////////////////////////////////////////////////////
// absMat
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct TransformFunctorTraits< abs_func<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
{
@ -1346,7 +1346,7 @@ namespace arithm
template <typename T>
void absMat(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, abs_func<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, abs_func<T>(), WithOutMask(), stream);
}
template void absMat<uchar>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
@ -1375,7 +1375,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct TransformFunctorTraits< arithm::Sqr<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
{
@ -1387,7 +1387,7 @@ namespace arithm
template <typename T>
void sqrMat(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, Sqr<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, Sqr<T>(), WithOutMask(), stream);
}
template void sqrMat<uchar>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
@ -1402,7 +1402,7 @@ namespace arithm
//////////////////////////////////////////////////////////////////////////
// sqrtMat
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct TransformFunctorTraits< sqrt_func<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
{
@ -1414,7 +1414,7 @@ namespace arithm
template <typename T>
void sqrtMat(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, sqrt_func<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, sqrt_func<T>(), WithOutMask(), stream);
}
template void sqrtMat<uchar>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
@ -1429,7 +1429,7 @@ namespace arithm
//////////////////////////////////////////////////////////////////////////
// logMat
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct TransformFunctorTraits< log_func<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
{
@ -1441,7 +1441,7 @@ namespace arithm
template <typename T>
void logMat(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, log_func<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, log_func<T>(), WithOutMask(), stream);
}
template void logMat<uchar>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
@ -1471,7 +1471,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct TransformFunctorTraits< arithm::Exp<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
{
@ -1483,7 +1483,7 @@ namespace arithm
template <typename T>
void expMat(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, Exp<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, Exp<T>(), WithOutMask(), stream);
}
template void expMat<uchar>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
@ -1554,7 +1554,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <> struct TransformFunctorTraits< arithm::VCmpEq4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
{
@ -1580,26 +1580,26 @@ namespace arithm
{
void cmpMatEq_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VCmpEq4(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VCmpEq4(), WithOutMask(), stream);
}
void cmpMatNe_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VCmpNe4(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VCmpNe4(), WithOutMask(), stream);
}
void cmpMatLt_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VCmpLt4(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VCmpLt4(), WithOutMask(), stream);
}
void cmpMatLe_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VCmpLe4(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VCmpLe4(), WithOutMask(), stream);
}
template <template <typename> class Op, typename T>
void cmpMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
{
Cmp<Op<T>, T> op;
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, dst, op, WithOutMask(), stream);
}
template <typename T> void cmpMatEq(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
@ -1716,7 +1716,7 @@ namespace arithm
#undef TYPE_VEC
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <class Op, typename T> struct TransformFunctorTraits< arithm::CmpScalar<Op, T, 1> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(uchar)>
{
@ -1735,7 +1735,7 @@ namespace arithm
src_t val1 = VecTraits<src_t>::make(sval);
CmpScalar<Op<T>, T, cn> op(val1);
transform((PtrStepSz<src_t>) src, (PtrStepSz<dst_t>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<src_t>) src, (PtrStepSz<dst_t>) dst, op, WithOutMask(), stream);
}
template <typename T> void cmpScalarEq(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream)
@ -1875,7 +1875,7 @@ namespace arithm
//////////////////////////////////////////////////////////////////////////////////////
// bitMat
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct TransformFunctorTraits< bit_not<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
{
@ -1899,33 +1899,33 @@ namespace arithm
template <typename T> void bitMatNot(PtrStepSzb src, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream)
{
if (mask.data)
transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, bit_not<T>(), mask, stream);
cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, bit_not<T>(), mask, stream);
else
transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, bit_not<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, bit_not<T>(), WithOutMask(), stream);
}
template <typename T> void bitMatAnd(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream)
{
if (mask.data)
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_and<T>(), mask, stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_and<T>(), mask, stream);
else
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_and<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_and<T>(), WithOutMask(), stream);
}
template <typename T> void bitMatOr(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream)
{
if (mask.data)
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_or<T>(), mask, stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_or<T>(), mask, stream);
else
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_or<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_or<T>(), WithOutMask(), stream);
}
template <typename T> void bitMatXor(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream)
{
if (mask.data)
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_xor<T>(), mask, stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_xor<T>(), mask, stream);
else
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_xor<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_xor<T>(), WithOutMask(), stream);
}
template void bitMatNot<uchar>(PtrStepSzb src, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream);
@ -1948,7 +1948,7 @@ namespace arithm
//////////////////////////////////////////////////////////////////////////////////////
// bitScalar
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct TransformFunctorTraits< binder2nd< bit_and<T> > > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
{
@ -1967,17 +1967,17 @@ namespace arithm
{
template <typename T> void bitScalarAnd(PtrStepSzb src1, uint src2, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::gpu::device::bind2nd(bit_and<T>(), src2), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::gpu::cudev::bind2nd(bit_and<T>(), src2), WithOutMask(), stream);
}
template <typename T> void bitScalarOr(PtrStepSzb src1, uint src2, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::gpu::device::bind2nd(bit_or<T>(), src2), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::gpu::cudev::bind2nd(bit_or<T>(), src2), WithOutMask(), stream);
}
template <typename T> void bitScalarXor(PtrStepSzb src1, uint src2, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::gpu::device::bind2nd(bit_xor<T>(), src2), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::gpu::cudev::bind2nd(bit_xor<T>(), src2), WithOutMask(), stream);
}
template void bitScalarAnd<uchar>(PtrStepSzb src1, uint src2, PtrStepSzb dst, cudaStream_t stream);
@ -2026,7 +2026,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <> struct TransformFunctorTraits< arithm::VMin4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
{
@ -2053,17 +2053,17 @@ namespace arithm
{
void minMat_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VMin4(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VMin4(), WithOutMask(), stream);
}
void minMat_v2(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VMin2(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VMin2(), WithOutMask(), stream);
}
template <typename T> void minMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, minimum<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, minimum<T>(), WithOutMask(), stream);
}
template void minMat<uchar >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
@ -2076,7 +2076,7 @@ namespace arithm
template <typename T> void minScalar(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::gpu::device::bind2nd(minimum<T>(), src2), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::gpu::cudev::bind2nd(minimum<T>(), src2), WithOutMask(), stream);
}
template void minScalar<uchar >(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
@ -2118,7 +2118,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <> struct TransformFunctorTraits< arithm::VMax4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
{
@ -2145,17 +2145,17 @@ namespace arithm
{
void maxMat_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VMax4(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VMax4(), WithOutMask(), stream);
}
void maxMat_v2(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
transform(src1, src2, dst, VMax2(), WithOutMask(), stream);
cudev::transform(src1, src2, dst, VMax2(), WithOutMask(), stream);
}
template <typename T> void maxMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, maximum<T>(), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, maximum<T>(), WithOutMask(), stream);
}
template void maxMat<uchar >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
@ -2168,7 +2168,7 @@ namespace arithm
template <typename T> void maxScalar(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::gpu::device::bind2nd(maximum<T>(), src2), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::gpu::cudev::bind2nd(maximum<T>(), src2), WithOutMask(), stream);
}
template void maxScalar<uchar >(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
@ -2183,7 +2183,7 @@ namespace arithm
//////////////////////////////////////////////////////////////////////////
// threshold
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct TransformFunctorTraits< thresh_binary_func<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
{
@ -2212,7 +2212,7 @@ namespace arithm
void threshold_caller(PtrStepSz<T> src, PtrStepSz<T> dst, T thresh, T maxVal, cudaStream_t stream)
{
Op<T> op(thresh, maxVal);
transform(src, dst, op, WithOutMask(), stream);
cudev::transform(src, dst, op, WithOutMask(), stream);
}
template <typename T>
@ -2297,7 +2297,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T> struct TransformFunctorTraits< arithm::PowOp<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
{
@ -2309,7 +2309,7 @@ namespace arithm
template<typename T>
void pow(PtrStepSzb src, double power, PtrStepSzb dst, cudaStream_t stream)
{
transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, PowOp<T>(power), WithOutMask(), stream);
cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, PowOp<T>(power), WithOutMask(), stream);
}
template void pow<uchar>(PtrStepSzb src, double power, PtrStepSzb dst, cudaStream_t stream);
@ -2372,7 +2372,7 @@ namespace arithm
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <typename T1, typename T2, typename D, size_t src1_size, size_t src2_size, size_t dst_size> struct AddWeightedTraits : DefaultTransformFunctorTraits< arithm::AddWeighted<T1, T2, D> >
{
@ -2393,7 +2393,7 @@ namespace arithm
{
AddWeighted<T1, T2, D> op(alpha, beta, gamma);
transform((PtrStepSz<T1>) src1, (PtrStepSz<T2>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
cudev::transform((PtrStepSz<T1>) src1, (PtrStepSz<T2>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
}
template void addWeighted<uchar, uchar, uchar>(PtrStepSzb src1, double alpha, PtrStepSzb src2, double beta, double gamma, PtrStepSzb dst, cudaStream_t stream);

6
modules/gpu/src/cuda/fast.cu
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@ -42,10 +42,10 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/utility.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/utility.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace fast
{

14
modules/gpu/src/cuda/fgd_bgfg.cu
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@ -42,16 +42,16 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/utility.hpp"
#include "opencv2/gpu/device/reduce.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/limits.hpp"
#include "opencv2/core/cuda/utility.hpp"
#include "opencv2/core/cuda/reduce.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "fgd_bgfg_common.hpp"
using namespace cv::gpu;
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
namespace bgfg
{

24
modules/gpu/src/cuda/gftt.cu
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@ -45,21 +45,19 @@
#include <thrust/device_ptr.h>
#include <thrust/sort.h>
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/utility.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/utility.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace gfft
{
texture<float, cudaTextureType2D, cudaReadModeElementType> eigTex(0, cudaFilterModePoint, cudaAddressModeClamp);
__device__ uint g_counter = 0;
__device__ int g_counter = 0;
template <class Mask> __global__ void findCorners(float threshold, const Mask mask, float2* corners, uint max_count, int rows, int cols)
template <class Mask> __global__ void findCorners(float threshold, const Mask mask, float2* corners, int max_count, int rows, int cols)
{
#if __CUDA_ARCH__ >= 110
const int j = blockIdx.x * blockDim.x + threadIdx.x;
const int i = blockIdx.y * blockDim.y + threadIdx.y;
@ -84,15 +82,13 @@ namespace cv { namespace gpu { namespace device
if (val == maxVal)
{
const uint ind = atomicInc(&g_counter, (uint)(-1));
const int ind = ::atomicAdd(&g_counter, 1);
if (ind < max_count)
corners[ind] = make_float2(j, i);
}
}
}
#endif // __CUDA_ARCH__ >= 110
}
int findCorners_gpu(PtrStepSzf eig, float threshold, PtrStepSzb mask, float2* corners, int max_count)
@ -100,7 +96,7 @@ namespace cv { namespace gpu { namespace device
void* counter_ptr;
cudaSafeCall( cudaGetSymbolAddress(&counter_ptr, g_counter) );
cudaSafeCall( cudaMemset(counter_ptr, 0, sizeof(uint)) );
cudaSafeCall( cudaMemset(counter_ptr, 0, sizeof(int)) );
bindTexture(&eigTex, eig);
@ -116,10 +112,10 @@ namespace cv { namespace gpu { namespace device
cudaSafeCall( cudaDeviceSynchronize() );
uint count;
cudaSafeCall( cudaMemcpy(&count, counter_ptr, sizeof(uint), cudaMemcpyDeviceToHost) );
int count;
cudaSafeCall( cudaMemcpy(&count, counter_ptr, sizeof(int), cudaMemcpyDeviceToHost) );
return min(count, max_count);
return std::min(count, max_count);
}
class EigGreater

4
modules/gpu/src/cuda/global_motion.cu
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@ -45,9 +45,9 @@
#include <thrust/device_ptr.h>
#include <thrust/remove.h>
#include <thrust/functional.h>
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/core/cuda/common.hpp"
namespace cv { namespace gpu { namespace device { namespace globmotion {
namespace cv { namespace gpu { namespace cudev { namespace globmotion {
__constant__ float cml[9];
__constant__ float cmr[9];

14
modules/gpu/src/cuda/hist.cu
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@ -42,13 +42,13 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/emulation.hpp"
#include "opencv2/gpu/device/transform.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/emulation.hpp"
#include "opencv2/core/cuda/transform.hpp"
using namespace cv::gpu;
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
namespace hist
{
@ -127,7 +127,7 @@ namespace hist
};
}
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
template <> struct TransformFunctorTraits<hist::EqualizeHist> : DefaultTransformFunctorTraits<hist::EqualizeHist>
{
@ -146,7 +146,7 @@ namespace hist
const float scale = 255.0f / (src.cols * src.rows);
transform(src, dst, EqualizeHist(scale), WithOutMask(), stream);
cudev::transform(src, dst, EqualizeHist(scale), WithOutMask(), stream);
}
}

14
modules/gpu/src/cuda/hog.cu
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@ -42,12 +42,12 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/reduce.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/warp_shuffle.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/reduce.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/warp_shuffle.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
// Other values are not supported
#define CELL_WIDTH 8
@ -316,7 +316,7 @@ namespace cv { namespace gpu { namespace device
else if (nthreads == 512)
normalize_hists_kernel_many_blocks<512, nblocks><<<grid, threads>>>(block_hist_size, img_block_width, block_hists, threshold);
else
cv::gpu::error("normalize_hists: histogram's size is too big, try to decrease number of bins", __FILE__, __LINE__, "normalize_hists");
CV_Error(cv::Error::StsBadArg, "normalize_hists: histogram's size is too big, try to decrease number of bins");
cudaSafeCall( cudaGetLastError() );
@ -808,7 +808,7 @@ namespace cv { namespace gpu { namespace device
void resize_8UC1(const PtrStepSzb& src, PtrStepSzb dst) { resize_for_hog<uchar> (src, dst, resize8UC1_tex); }
void resize_8UC4(const PtrStepSzb& src, PtrStepSzb dst) { resize_for_hog<uchar4>(src, dst, resize8UC4_tex); }
} // namespace hog
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

14
modules/gpu/src/cuda/hough.cu
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@ -45,13 +45,13 @@
#include <thrust/device_ptr.h>
#include <thrust/sort.h>
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/emulation.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/dynamic_smem.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/emulation.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/limits.hpp"
#include "opencv2/core/cuda/dynamic_smem.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace hough
{
@ -1424,7 +1424,7 @@ namespace cv { namespace gpu { namespace device
cudaSafeCall( cudaDeviceSynchronize() );
thrust::device_ptr<int> sizesPtr(sizes);
thrust::transform(sizesPtr, sizesPtr + levels + 1, sizesPtr, device::bind2nd(device::minimum<int>(), maxSize));
thrust::transform(sizesPtr, sizesPtr + levels + 1, sizesPtr, cudev::bind2nd(cudev::minimum<int>(), maxSize));
}
void GHT_Guil_Full_buildTemplFeatureList_gpu(const unsigned int* coordList, const float* thetaList, int pointsCount,

14
modules/gpu/src/cuda/imgproc.cu
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@ -42,14 +42,14 @@
#if !defined CUDA_DISABLER
#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 "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
#include "opencv2/core/cuda/border_interpolate.hpp"
#include "internal_shared.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace imgproc
{
@ -1002,7 +1002,7 @@ namespace cv { namespace gpu { namespace device
template void filter2D_gpu<float, float>(PtrStepSzb srcWhole, int ofsX, int ofsY, PtrStepSzb dst, int kWidth, int kHeight, int anchorX, int anchorY, const float* kernel, int borderMode, const float* borderValue, cudaStream_t stream);
template void filter2D_gpu<float4, float4>(PtrStepSzb srcWhole, int ofsX, int ofsY, PtrStepSzb dst, int kWidth, int kHeight, int anchorX, int anchorY, const float* kernel, int borderMode, const float* borderValue, cudaStream_t stream);
} // namespace imgproc
}}} // namespace cv { namespace gpu { namespace device {
}}} // namespace cv { namespace gpu { namespace cudev {
#endif /* CUDA_DISABLER */

4
modules/gpu/src/cuda/integral_image.cu
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@ -42,9 +42,9 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/core/cuda/common.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace imgproc
{

29
modules/gpu/src/cuda/internal_shared.hpp
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@ -48,37 +48,10 @@
#include "NPP_staging.hpp"
#include "opencv2/gpu/devmem2d.hpp"
#include "safe_call.hpp"
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/core/cuda/common.hpp"
namespace cv { namespace gpu
{
enum
{
BORDER_REFLECT101_GPU = 0,
BORDER_REPLICATE_GPU,
BORDER_CONSTANT_GPU,
BORDER_REFLECT_GPU,
BORDER_WRAP_GPU
};
class NppStreamHandler
{
public:
inline explicit NppStreamHandler(cudaStream_t newStream = 0)
{
oldStream = nppGetStream();
nppSetStream(newStream);
}
inline ~NppStreamHandler()
{
nppSetStream(oldStream);
}
private:
cudaStream_t oldStream;
};
class NppStStreamHandler
{
public:

6
modules/gpu/src/cuda/lbp.cu
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@ -43,10 +43,10 @@
#if !defined CUDA_DISABLER
#include "lbp.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/saturate_cast.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace lbp
{

6
modules/gpu/src/cuda/lbp.hpp
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@ -43,10 +43,10 @@
#ifndef __OPENCV_GPU_DEVICE_LBP_HPP_
#define __OPENCV_GPU_DEVICE_LBP_HPP_
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/emulation.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/emulation.hpp"
namespace cv { namespace gpu { namespace device {
namespace cv { namespace gpu { namespace cudev {
namespace lbp {

8
modules/gpu/src/cuda/match_template.cu
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@ -42,10 +42,10 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace match_template
{
@ -910,7 +910,7 @@ namespace cv { namespace gpu { namespace device
cudaSafeCall( cudaDeviceSynchronize() );
}
} //namespace match_template
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

6
modules/gpu/src/cuda/mathfunc.cu
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@ -42,9 +42,9 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/core/cuda/common.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace mathfunc
{
@ -212,6 +212,6 @@ namespace cv { namespace gpu { namespace device
callers[mag.data == 0](mag, angle, x, y, angleInDegrees, stream);
}
} // namespace mathfunc
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

42
modules/gpu/src/cuda/matrix_reductions.cu
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@ -42,18 +42,18 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/saturate_cast.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/reduce.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/utility.hpp"
#include "opencv2/gpu/device/type_traits.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/limits.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/reduce.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/utility.hpp"
#include "opencv2/core/cuda/type_traits.hpp"
using namespace cv::gpu;
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
namespace detail
{
@ -205,7 +205,7 @@ namespace detail
template <int BLOCK_SIZE, typename R>
static __device__ __forceinline__ thrust::tuple<volatile R*, volatile R*> smem_tuple(R* smem)
{
return cv::gpu::device::smem_tuple(smem, smem + BLOCK_SIZE);
return cv::gpu::cudev::smem_tuple(smem, smem + BLOCK_SIZE);
}
template <typename R>
@ -225,7 +225,7 @@ namespace detail
template <int BLOCK_SIZE, typename R>
static __device__ __forceinline__ thrust::tuple<volatile R*, volatile R*, volatile R*> smem_tuple(R* smem)
{
return cv::gpu::device::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE);
return cv::gpu::cudev::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE);
}
template <typename R>
@ -245,7 +245,7 @@ namespace detail
template <int BLOCK_SIZE, typename R>
static __device__ __forceinline__ thrust::tuple<volatile R*, volatile R*, volatile R*, volatile R*> smem_tuple(R* smem)
{
return cv::gpu::device::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE, smem + 3 * BLOCK_SIZE);
return cv::gpu::cudev::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE, smem + 3 * BLOCK_SIZE);
}
template <typename R>
@ -340,7 +340,7 @@ namespace sum
{
sum = tid < gridDim.x * gridDim.y ? result[tid] : VecTraits<result_type>::all(0);
device::reduce<BLOCK_SIZE>(detail::Unroll<cn>::template smem_tuple<BLOCK_SIZE>(smem), detail::Unroll<cn>::tie(sum), tid, detail::Unroll<cn>::op(plus<R>()));
cudev::reduce<BLOCK_SIZE>(detail::Unroll<cn>::template smem_tuple<BLOCK_SIZE>(smem), detail::Unroll<cn>::tie(sum), tid, detail::Unroll<cn>::op(plus<R>()));
if (tid == 0)
{
@ -383,7 +383,7 @@ namespace sum
}
}
device::reduce<BLOCK_SIZE>(detail::Unroll<cn>::template smem_tuple<BLOCK_SIZE>(smem), detail::Unroll<cn>::tie(sum), tid, detail::Unroll<cn>::op(plus<R>()));
cudev::reduce<BLOCK_SIZE>(detail::Unroll<cn>::template smem_tuple<BLOCK_SIZE>(smem), detail::Unroll<cn>::tie(sum), tid, detail::Unroll<cn>::op(plus<R>()));
GlobalReduce<BLOCK_SIZE, R, cn>::run(sum, result, tid, bid, smem);
}
@ -642,7 +642,7 @@ namespace minMax
const minimum<R> minOp;
const maximum<R> maxOp;
device::reduce<BLOCK_SIZE>(smem_tuple(sminval, smaxval), thrust::tie(mymin, mymax), tid, thrust::make_tuple(minOp, maxOp));
cudev::reduce<BLOCK_SIZE>(smem_tuple(sminval, smaxval), thrust::tie(mymin, mymax), tid, thrust::make_tuple(minOp, maxOp));
if (tid == 0)
{
@ -690,7 +690,7 @@ namespace minMax
}
}
device::reduce<BLOCK_SIZE>(smem_tuple(sminval, smaxval), thrust::tie(mymin, mymax), tid, thrust::make_tuple(minOp, maxOp));
cudev::reduce<BLOCK_SIZE>(smem_tuple(sminval, smaxval), thrust::tie(mymin, mymax), tid, thrust::make_tuple(minOp, maxOp));
GlobalReduce<BLOCK_SIZE, R>::run(mymin, mymax, minval, maxval, tid, bid, sminval, smaxval);
}
@ -994,7 +994,7 @@ namespace countNonZero
}
}
device::reduce<BLOCK_SIZE>(scount, mycount, tid, plus<unsigned int>());
cudev::reduce<BLOCK_SIZE>(scount, mycount, tid, plus<unsigned int>());
#if __CUDA_ARCH__ >= 200
if (tid == 0)
@ -1019,7 +1019,7 @@ namespace countNonZero
{
mycount = tid < gridDim.x * gridDim.y ? count[tid] : 0;
device::reduce<BLOCK_SIZE>(scount, mycount, tid, plus<unsigned int>());
cudev::reduce<BLOCK_SIZE>(scount, mycount, tid, plus<unsigned int>());
if (tid == 0)
{
@ -1217,7 +1217,7 @@ namespace reduce
volatile S* srow = smem + threadIdx.y * 16;
myVal = srow[threadIdx.x];
device::reduce<16>(srow, myVal, threadIdx.x, op);
cudev::reduce<16>(srow, myVal, threadIdx.x, op);
if (threadIdx.x == 0)
srow[0] = myVal;
@ -1301,7 +1301,7 @@ namespace reduce
for (int x = threadIdx.x; x < src.cols; x += BLOCK_SIZE)
myVal = op(myVal, saturate_cast<work_type>(srcRow[x]));
device::reduce<BLOCK_SIZE>(detail::Unroll<cn>::template smem_tuple<BLOCK_SIZE>(smem), detail::Unroll<cn>::tie(myVal), threadIdx.x, detail::Unroll<cn>::op(op));
cudev::reduce<BLOCK_SIZE>(detail::Unroll<cn>::template smem_tuple<BLOCK_SIZE>(smem), detail::Unroll<cn>::tie(myVal), threadIdx.x, detail::Unroll<cn>::op(op));
if (threadIdx.x == 0)
dst[y] = saturate_cast<dst_type>(op.result(myVal, src.cols));

24
modules/gpu/src/cuda/nlm.cu
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@ -42,12 +42,12 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/reduce.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/reduce.hpp"
#include "opencv2/core/cuda/border_interpolate.hpp"
using namespace cv::gpu;
@ -57,7 +57,7 @@ typedef unsigned short ushort;
//////////////////////////////////////////////////////////////////////////////////
//// Non Local Means Denosing
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace imgproc
{
@ -179,7 +179,7 @@ namespace cv { namespace gpu { namespace device
//////////////////////////////////////////////////////////////////////////////////
//// Non Local Means Denosing (fast approximate version)
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace imgproc
{
@ -190,7 +190,7 @@ namespace cv { namespace gpu { namespace device
template <int BLOCK_SIZE>
static __device__ __forceinline__ thrust::tuple<volatile float*, volatile float*> smem_tuple(float* smem)
{
return cv::gpu::device::smem_tuple(smem, smem + BLOCK_SIZE);
return cv::gpu::cudev::smem_tuple(smem, smem + BLOCK_SIZE);
}
static __device__ __forceinline__ thrust::tuple<float&, float&> tie(float& val1, float& val2)
@ -209,7 +209,7 @@ namespace cv { namespace gpu { namespace device
template <int BLOCK_SIZE>
static __device__ __forceinline__ thrust::tuple<volatile float*, volatile float*, volatile float*> smem_tuple(float* smem)
{
return cv::gpu::device::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE);
return cv::gpu::cudev::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE);
}
static __device__ __forceinline__ thrust::tuple<float&, float&, float&> tie(float& val1, float2& val2)
@ -228,7 +228,7 @@ namespace cv { namespace gpu { namespace device
template <int BLOCK_SIZE>
static __device__ __forceinline__ thrust::tuple<volatile float*, volatile float*, volatile float*, volatile float*> smem_tuple(float* smem)
{
return cv::gpu::device::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE, smem + 3 * BLOCK_SIZE);
return cv::gpu::cudev::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE, smem + 3 * BLOCK_SIZE);
}
static __device__ __forceinline__ thrust::tuple<float&, float&, float&, float&> tie(float& val1, float3& val2)
@ -247,7 +247,7 @@ namespace cv { namespace gpu { namespace device
template <int BLOCK_SIZE>
static __device__ __forceinline__ thrust::tuple<volatile float*, volatile float*, volatile float*, volatile float*, volatile float*> smem_tuple(float* smem)
{
return cv::gpu::device::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE, smem + 3 * BLOCK_SIZE, smem + 4 * BLOCK_SIZE);
return cv::gpu::cudev::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE, smem + 3 * BLOCK_SIZE, smem + 4 * BLOCK_SIZE);
}
static __device__ __forceinline__ thrust::tuple<float&, float&, float&, float&, float&> tie(float& val1, float4& val2)

10
modules/gpu/src/cuda/optflowbm.cu
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@ -42,13 +42,13 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/reduce.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/limits.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/reduce.hpp"
using namespace cv::gpu;
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
namespace optflowbm
{

4
modules/gpu/src/cuda/optical_flow.cu
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@ -42,9 +42,9 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/core/cuda/common.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace optical_flow
{

8
modules/gpu/src/cuda/optical_flow_farneback.cu
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@ -42,8 +42,8 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/border_interpolate.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/border_interpolate.hpp"
#define tx threadIdx.x
#define ty threadIdx.y
@ -55,7 +55,7 @@
#define BORDER_SIZE 5
#define MAX_KSIZE_HALF 100
namespace cv { namespace gpu { namespace device { namespace optflow_farneback
namespace cv { namespace gpu { namespace cudev { namespace optflow_farneback
{
__constant__ float c_g[8];
__constant__ float c_xg[8];
@ -641,7 +641,7 @@ namespace cv { namespace gpu { namespace device { namespace optflow_farneback
callers[borderMode](src, ksizeHalf, dst, stream);
}
}}}} // namespace cv { namespace gpu { namespace device { namespace optflow_farneback
}}}} // namespace cv { namespace gpu { namespace cudev { namespace optflow_farneback
#endif /* CUDA_DISABLER */

8
modules/gpu/src/cuda/orb.cu
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@ -45,11 +45,11 @@
#include <thrust/device_ptr.h>
#include <thrust/sort.h>
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/reduce.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/reduce.hpp"
#include "opencv2/core/cuda/functional.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace orb
{

14
modules/gpu/src/cuda/pyr_down.cu
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@ -42,13 +42,13 @@
#if !defined CUDA_DISABLER
#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/core/cuda/common.hpp"
#include "opencv2/core/cuda/border_interpolate.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace imgproc
{
@ -222,7 +222,7 @@ namespace cv { namespace gpu { namespace device
template void pyrDown_gpu<float3>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
template void pyrDown_gpu<float4>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
} // namespace imgproc
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

14
modules/gpu/src/cuda/pyr_up.cu
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@ -42,13 +42,13 @@
#if !defined CUDA_DISABLER
#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/core/cuda/common.hpp"
#include "opencv2/core/cuda/border_interpolate.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace imgproc
{
@ -191,6 +191,6 @@ namespace cv { namespace gpu { namespace device
template void pyrUp_gpu<float3>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
template void pyrUp_gpu<float4>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
} // namespace imgproc
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

14
modules/gpu/src/cuda/pyrlk.cu
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@ -42,15 +42,15 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/utility.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/reduce.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/utility.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/limits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/reduce.hpp"
using namespace cv::gpu;
using namespace cv::gpu::device;
using namespace cv::gpu::cudev;
namespace pyrlk
{

18
modules/gpu/src/cuda/remap.cu
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@ -42,14 +42,14 @@
#if !defined CUDA_DISABLER
#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"
namespace cv { namespace gpu { namespace device
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/border_interpolate.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
#include "opencv2/core/cuda/filters.hpp"
namespace cv { namespace gpu { namespace cudev
{
namespace imgproc
{
@ -268,7 +268,7 @@ namespace cv { namespace gpu { namespace device
template void remap_gpu<float3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, PtrStepSzf xmap, PtrStepSzf ymap, PtrStepSzb dst, int interpolation, int borderMode, const float* borderValue, cudaStream_t stream, bool cc20);
template void remap_gpu<float4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, PtrStepSzf xmap, PtrStepSzf ymap, PtrStepSzb dst, int interpolation, int borderMode, const float* borderValue, cudaStream_t stream, bool cc20);
} // namespace imgproc
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

20
modules/gpu/src/cuda/resize.cu
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@ -43,15 +43,15 @@
#if !defined CUDA_DISABLER
#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 "opencv2/gpu/device/scan.hpp"
namespace cv { namespace gpu { namespace device
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/border_interpolate.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
#include "opencv2/core/cuda/filters.hpp"
#include "opencv2/core/cuda/scan.hpp"
namespace cv { namespace gpu { namespace cudev
{
namespace imgproc
{
@ -296,7 +296,7 @@ namespace cv { namespace gpu { namespace device
};
} // namespace imgproc
}}} // namespace cv { namespace gpu { namespace device
}}} // namespace cv { namespace gpu { namespace cudev
#endif /* CUDA_DISABLER */

6
modules/gpu/src/cuda/rgb_to_yv12.cu
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@ -42,10 +42,10 @@
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/vec_traits.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
namespace cv { namespace gpu { namespace device
namespace cv { namespace gpu { namespace cudev
{
namespace video_encoding
{

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