Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
Greenplum
Opencv
提交
2695039a
O
Opencv
项目概览
Greenplum
/
Opencv
11 个月 前同步成功
通知
7
Star
0
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
0
列表
看板
标记
里程碑
合并请求
0
DevOps
流水线
流水线任务
计划
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
O
Opencv
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
0
Issue
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
DevOps
DevOps
流水线
流水线任务
计划
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
流水线任务
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
提交
2695039a
编写于
11月 14, 2011
作者:
V
Vladislav Vinogradov
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
moved GpuMat's operations implementation to core module
上级
0f53f299
变更
34
展开全部
隐藏空白更改
内联
并排
Showing
34 changed file
with
820 addition
and
601 deletion
+820
-601
modules/core/CMakeLists.txt
modules/core/CMakeLists.txt
+129
-1
modules/core/include/opencv2/core/gpumat.hpp
modules/core/include/opencv2/core/gpumat.hpp
+2
-20
modules/core/src/cuda/matrix_operations.cu
modules/core/src/cuda/matrix_operations.cu
+24
-26
modules/core/src/gpumat.cpp
modules/core/src/gpumat.cpp
+494
-5
modules/gpu/include/opencv2/gpu/gpu.hpp
modules/gpu/include/opencv2/gpu/gpu.hpp
+0
-4
modules/gpu/src/cuda/internal_shared.hpp
modules/gpu/src/cuda/internal_shared.hpp
+0
-32
modules/gpu/src/cuda/safe_call.hpp
modules/gpu/src/cuda/safe_call.hpp
+26
-26
modules/gpu/src/cudastream.cpp
modules/gpu/src/cudastream.cpp
+9
-41
modules/gpu/src/error.cpp
modules/gpu/src/error.cpp
+0
-16
modules/gpu/src/initialization.cpp
modules/gpu/src/initialization.cpp
+0
-374
modules/gpu/src/opencv2/gpu/device/border_interpolate.hpp
modules/gpu/src/opencv2/gpu/device/border_interpolate.hpp
+0
-1
modules/gpu/src/opencv2/gpu/device/color.hpp
modules/gpu/src/opencv2/gpu/device/color.hpp
+0
-1
modules/gpu/src/opencv2/gpu/device/common.hpp
modules/gpu/src/opencv2/gpu/device/common.hpp
+100
-0
modules/gpu/src/opencv2/gpu/device/datamov_utils.hpp
modules/gpu/src/opencv2/gpu/device/datamov_utils.hpp
+1
-1
modules/gpu/src/opencv2/gpu/device/detail/color_detail.hpp
modules/gpu/src/opencv2/gpu/device/detail/color_detail.hpp
+1
-1
modules/gpu/src/opencv2/gpu/device/detail/transform_detail.hpp
...es/gpu/src/opencv2/gpu/device/detail/transform_detail.hpp
+1
-1
modules/gpu/src/opencv2/gpu/device/detail/type_traits_detail.hpp
.../gpu/src/opencv2/gpu/device/detail/type_traits_detail.hpp
+1
-1
modules/gpu/src/opencv2/gpu/device/detail/utility_detail.hpp
modules/gpu/src/opencv2/gpu/device/detail/utility_detail.hpp
+0
-2
modules/gpu/src/opencv2/gpu/device/detail/vec_distance_detail.hpp
...gpu/src/opencv2/gpu/device/detail/vec_distance_detail.hpp
+0
-1
modules/gpu/src/opencv2/gpu/device/dynamic_smem.hpp
modules/gpu/src/opencv2/gpu/device/dynamic_smem.hpp
+28
-31
modules/gpu/src/opencv2/gpu/device/emulation.hpp
modules/gpu/src/opencv2/gpu/device/emulation.hpp
+0
-1
modules/gpu/src/opencv2/gpu/device/filters.hpp
modules/gpu/src/opencv2/gpu/device/filters.hpp
+0
-1
modules/gpu/src/opencv2/gpu/device/funcattrib.hpp
modules/gpu/src/opencv2/gpu/device/funcattrib.hpp
+0
-1
modules/gpu/src/opencv2/gpu/device/functional.hpp
modules/gpu/src/opencv2/gpu/device/functional.hpp
+0
-1
modules/gpu/src/opencv2/gpu/device/limits.hpp
modules/gpu/src/opencv2/gpu/device/limits.hpp
+1
-1
modules/gpu/src/opencv2/gpu/device/saturate_cast.hpp
modules/gpu/src/opencv2/gpu/device/saturate_cast.hpp
+1
-1
modules/gpu/src/opencv2/gpu/device/transform.hpp
modules/gpu/src/opencv2/gpu/device/transform.hpp
+1
-1
modules/gpu/src/opencv2/gpu/device/type_traits.hpp
modules/gpu/src/opencv2/gpu/device/type_traits.hpp
+0
-1
modules/gpu/src/opencv2/gpu/device/utility.hpp
modules/gpu/src/opencv2/gpu/device/utility.hpp
+0
-1
modules/gpu/src/opencv2/gpu/device/vec_distance.hpp
modules/gpu/src/opencv2/gpu/device/vec_distance.hpp
+0
-1
modules/gpu/src/opencv2/gpu/device/vec_math.hpp
modules/gpu/src/opencv2/gpu/device/vec_math.hpp
+0
-1
modules/gpu/src/opencv2/gpu/device/vec_traits.hpp
modules/gpu/src/opencv2/gpu/device/vec_traits.hpp
+1
-1
modules/gpu/src/opencv2/gpu/device/warp.hpp
modules/gpu/src/opencv2/gpu/device/warp.hpp
+0
-2
modules/gpu/src/opencv2/gpu/device/warp_reduce.hpp
modules/gpu/src/opencv2/gpu/device/warp_reduce.hpp
+0
-2
未找到文件。
modules/core/CMakeLists.txt
浏览文件 @
2695039a
...
...
@@ -3,4 +3,132 @@ if(ZLIB_FOUND)
else
()
include_directories
(
"
${
CMAKE_CURRENT_SOURCE_DIR
}
/../../3rdparty/zlib"
)
endif
()
define_opencv_module
(
core
${
ZLIB_LIBRARY
}
)
#define_opencv_module(core ${ZLIB_LIBRARY})
set
(
name
"core"
)
project
(
opencv_
${
name
}
)
include_directories
(
"
${
CMAKE_CURRENT_SOURCE_DIR
}
/include"
"
${
CMAKE_CURRENT_SOURCE_DIR
}
/src"
"
${
CMAKE_CURRENT_BINARY_DIR
}
"
)
file
(
GLOB lib_srcs
"src/*.cpp"
)
file
(
GLOB lib_int_hdrs
"src/*.h*"
)
file
(
GLOB lib_hdrs
"include/opencv2/
${
name
}
/*.h*"
)
file
(
GLOB lib_hdrs_detail
"include/opencv2/
${
name
}
/detail/*.h*"
)
if
(
COMMAND get_module_external_sources
)
get_module_external_sources
(
${
name
}
)
endif
()
source_group
(
"Src"
FILES
${
lib_srcs
}
${
lib_int_hdrs
}
)
source_group
(
"Include"
FILES
${
lib_hdrs
}
)
source_group
(
"Include
\\
detail"
FILES
${
lib_hdrs_detail
}
)
list
(
APPEND lib_hdrs
${
lib_hdrs_detail
}
)
if
(
HAVE_CUDA
)
file
(
GLOB lib_cuda
"src/cuda/*.cu"
)
source_group
(
"Cuda"
FILES
"
${
lib_cuda
}
"
)
include_directories
(
${
CUDA_INCLUDE_DIRS
}
)
include_directories
(
"
${
OpenCV_SOURCE_DIR
}
/modules/gpu/src"
)
include_directories
(
"
${
OpenCV_SOURCE_DIR
}
/modules/gpu/src/cuda"
)
set
(
CUDA_NVCC_FLAGS
${
CUDA_NVCC_FLAGS
}
-gencode arch=compute_10,code=sm_10
-gencode arch=compute_11,code=sm_11
-gencode arch=compute_12,code=sm_12
-gencode arch=compute_13,code=sm_13
-gencode arch=compute_20,code=sm_20
-gencode arch=compute_20,code=sm_21
)
if
(
UNIX OR APPLE
)
set
(
CUDA_NVCC_FLAGS
${
CUDA_NVCC_FLAGS
}
"-Xcompiler;-fPIC;"
)
#set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}" "-fPIC")
endif
()
#set (CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} "-keep")
#set (CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} "-Xcompiler;/EHsc-;")
if
(
APPLE
)
set
(
CUDA_NVCC_FLAGS
${
CUDA_NVCC_FLAGS
}
"-Xcompiler;-fno-finite-math-only;"
)
endif
()
CUDA_COMPILE
(
cuda_objs
${
lib_cuda
}
)
#CUDA_BUILD_CLEAN_TARGET()
endif
()
set
(
the_target
"opencv_
${
name
}
"
)
add_library
(
${
the_target
}
${
lib_srcs
}
${
lib_hdrs
}
${
lib_int_hdrs
}
${
lib_cuda
}
${
cuda_objs
}
)
# For dynamic link numbering convenions
if
(
NOT ANDROID
)
# Android SDK build scripts can include only .so files into final .apk
# As result we should not set version properties for Android
set_target_properties
(
${
the_target
}
PROPERTIES
VERSION
${
OPENCV_VERSION
}
SOVERSION
${
OPENCV_SOVERSION
}
)
endif
()
set_target_properties
(
${
the_target
}
PROPERTIES OUTPUT_NAME
"
${
the_target
}${
OPENCV_DLLVERSION
}
"
)
if
(
ENABLE_SOLUTION_FOLDERS
)
set_target_properties
(
${
the_target
}
PROPERTIES FOLDER
"modules"
)
endif
()
if
(
BUILD_SHARED_LIBS
)
if
(
MSVC
)
set_target_properties
(
${
the_target
}
PROPERTIES DEFINE_SYMBOL CVAPI_EXPORTS
)
else
()
add_definitions
(
-DCVAPI_EXPORTS
)
endif
()
endif
()
# Additional target properties
set_target_properties
(
${
the_target
}
PROPERTIES
DEBUG_POSTFIX
"
${
OPENCV_DEBUG_POSTFIX
}
"
ARCHIVE_OUTPUT_DIRECTORY
${
LIBRARY_OUTPUT_PATH
}
RUNTIME_OUTPUT_DIRECTORY
${
EXECUTABLE_OUTPUT_PATH
}
INSTALL_NAME_DIR lib
)
# Add the required libraries for linking:
target_link_libraries
(
${
the_target
}
${
OPENCV_LINKER_LIBS
}
${
IPP_LIBS
}
${
ZLIB_LIBRARY
}
)
if
(
HAVE_CUDA
)
target_link_libraries
(
${
the_target
}
${
CUDA_LIBRARIES
}
)
unset
(
CUDA_npp_LIBRARY CACHE
)
find_cuda_helper_libs
(
npp
)
target_link_libraries
(
${
the_target
}
${
CUDA_npp_LIBRARY
}
)
endif
()
if
(
MSVC
)
if
(
CMAKE_CROSSCOMPILING
)
set_target_properties
(
${
the_target
}
PROPERTIES
LINK_FLAGS
"/NODEFAULTLIB:secchk"
)
endif
()
set_target_properties
(
${
the_target
}
PROPERTIES
LINK_FLAGS
"/NODEFAULTLIB:libc /DEBUG"
)
endif
()
# Dependencies of this target:
add_dependencies
(
${
the_target
}
${
ZLIB_LIBRARY
}
)
install
(
TARGETS
${
the_target
}
RUNTIME DESTINATION bin COMPONENT main
LIBRARY DESTINATION
${
OPENCV_LIB_INSTALL_PATH
}
COMPONENT main
ARCHIVE DESTINATION
${
OPENCV_LIB_INSTALL_PATH
}
COMPONENT main
)
install
(
FILES
${
lib_hdrs
}
DESTINATION
${
OPENCV_INCLUDE_PREFIX
}
/opencv2/
${
name
}
COMPONENT main
)
add_opencv_precompiled_headers
(
${
the_target
}
)
define_opencv_test
(
${
name
}
)
define_opencv_perf_test
(
${
name
}
)
modules/core/include/opencv2/core/gpumat.hpp
浏览文件 @
2695039a
...
...
@@ -212,27 +212,9 @@ namespace cv { namespace gpu
CV_EXPORTS
void
ensureSizeIsEnough
(
int
rows
,
int
cols
,
int
type
,
GpuMat
&
m
);
CV_EXPORTS
void
ensureSizeIsEnough
(
Size
size
,
int
type
,
GpuMat
&
m
);
class
CV_EXPORTS
GpuFuncTable
{
public:
virtual
~
GpuFuncTable
()
{}
virtual
void
copy
(
const
Mat
&
src
,
GpuMat
&
dst
)
const
=
0
;
virtual
void
copy
(
const
GpuMat
&
src
,
Mat
&
dst
)
const
=
0
;
virtual
void
copy
(
const
GpuMat
&
src
,
GpuMat
&
dst
)
const
=
0
;
virtual
void
copyWithMask
(
const
GpuMat
&
src
,
GpuMat
&
dst
,
const
GpuMat
&
mask
)
const
=
0
;
virtual
void
convert
(
const
GpuMat
&
src
,
GpuMat
&
dst
)
const
=
0
;
virtual
void
convert
(
const
GpuMat
&
src
,
GpuMat
&
dst
,
double
alpha
,
double
beta
)
const
=
0
;
virtual
void
setTo
(
GpuMat
&
m
,
Scalar
s
,
const
GpuMat
&
mask
)
const
=
0
;
virtual
void
mallocPitch
(
void
**
devPtr
,
size_t
*
step
,
size_t
width
,
size_t
height
)
const
=
0
;
virtual
void
free
(
void
*
devPtr
)
const
=
0
;
};
//////////////////////////////// Error handling ////////////////////////
CV_EXPORTS
void
setGpuFuncTable
(
const
GpuFuncTable
*
funcTbl
);
CV_EXPORTS
void
error
(
const
char
*
error_string
,
const
char
*
file
,
const
int
line
,
const
char
*
func
);
////////////////////////////////////////////////////////////////////////
...
...
modules/
gpu
/src/cuda/matrix_operations.cu
→
modules/
core
/src/cuda/matrix_operations.cu
浏览文件 @
2695039a
...
...
@@ -40,7 +40,6 @@
//
//M*/
#include "internal_shared.hpp"
#include "opencv2/gpu/device/saturate_cast.hpp"
#include "opencv2/gpu/device/transform.hpp"
#include "opencv2/gpu/device/functional.hpp"
...
...
@@ -75,7 +74,7 @@ namespace cv { namespace gpu { namespace device
}
template
<
typename
T
>
void
copy_to_with_mask_run
(
const
DevMem2Db
&
mat_src
,
const
DevMem2Db
&
mat_dst
,
const
DevMem2Db
&
mask
,
int
channels
,
const
cudaStream_t
&
stream
)
void
copy_to_with_mask_run
(
DevMem2Db
mat_src
,
DevMem2Db
mat_dst
,
DevMem2Db
mask
,
int
channels
,
cudaStream_t
stream
)
{
dim3
threadsPerBlock
(
16
,
16
,
1
);
dim3
numBlocks
(
divUp
(
mat_src
.
cols
*
channels
,
threadsPerBlock
.
x
)
,
divUp
(
mat_src
.
rows
,
threadsPerBlock
.
y
),
1
);
...
...
@@ -88,9 +87,9 @@ namespace cv { namespace gpu { namespace device
cudaSafeCall
(
cudaDeviceSynchronize
()
);
}
void
copy_to_with_mask
(
const
DevMem2Db
&
mat_src
,
DevMem2Db
mat_dst
,
int
depth
,
const
DevMem2Db
&
mask
,
int
channels
,
const
cudaStream_t
&
stream
)
void
copy_to_with_mask
(
DevMem2Db
mat_src
,
DevMem2Db
mat_dst
,
int
depth
,
DevMem2Db
mask
,
int
channels
,
cudaStream_t
stream
)
{
typedef
void
(
*
CopyToFunc
)(
const
DevMem2Db
&
mat_src
,
const
DevMem2Db
&
mat_dst
,
const
DevMem2Db
&
mask
,
int
channels
,
const
cudaStream_t
&
stream
);
typedef
void
(
*
CopyToFunc
)(
DevMem2Db
mat_src
,
DevMem2Db
mat_dst
,
DevMem2Db
mask
,
int
channels
,
cudaStream_t
stream
);
static
CopyToFunc
tab
[
8
]
=
{
...
...
@@ -106,7 +105,8 @@ namespace cv { namespace gpu { namespace device
CopyToFunc
func
=
tab
[
depth
];
if
(
func
==
0
)
cv
::
gpu
::
error
(
"Unsupported copyTo operation"
,
__FILE__
,
__LINE__
);
if
(
func
==
0
)
cv
::
gpu
::
error
(
"Unsupported copyTo operation"
,
__FILE__
,
__LINE__
);
func
(
mat_src
,
mat_dst
,
mask
,
channels
,
stream
);
}
...
...
@@ -188,7 +188,7 @@ namespace cv { namespace gpu { namespace device
}
}
template
<
typename
T
>
void
set_to_gpu
(
const
DevMem2Db
&
mat
,
const
T
*
scalar
,
const
DevMem2Db
&
mask
,
int
channels
,
cudaStream_t
stream
)
void
set_to_gpu
(
DevMem2Db
mat
,
const
T
*
scalar
,
DevMem2Db
mask
,
int
channels
,
cudaStream_t
stream
)
{
writeScalar
(
scalar
);
...
...
@@ -202,16 +202,16 @@ namespace cv { namespace gpu { namespace device
cudaSafeCall
(
cudaDeviceSynchronize
()
);
}
template
void
set_to_gpu
<
uchar
>(
const
DevMem2Db
&
mat
,
const
uchar
*
scalar
,
const
DevMem2Db
&
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
schar
>(
const
DevMem2Db
&
mat
,
const
schar
*
scalar
,
const
DevMem2Db
&
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
ushort
>(
const
DevMem2Db
&
mat
,
const
ushort
*
scalar
,
const
DevMem2Db
&
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
short
>(
const
DevMem2Db
&
mat
,
const
short
*
scalar
,
const
DevMem2Db
&
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
int
>(
const
DevMem2Db
&
mat
,
const
int
*
scalar
,
const
DevMem2Db
&
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
float
>(
const
DevMem2Db
&
mat
,
const
float
*
scalar
,
const
DevMem2Db
&
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
double
>(
const
DevMem2Db
&
mat
,
const
double
*
scalar
,
const
DevMem2Db
&
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
uchar
>(
DevMem2Db
mat
,
const
uchar
*
scalar
,
DevMem2Db
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
schar
>(
DevMem2Db
mat
,
const
schar
*
scalar
,
DevMem2Db
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
ushort
>(
DevMem2Db
mat
,
const
ushort
*
scalar
,
DevMem2Db
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
short
>(
DevMem2Db
mat
,
const
short
*
scalar
,
DevMem2Db
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
int
>(
DevMem2Db
mat
,
const
int
*
scalar
,
DevMem2Db
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
float
>(
DevMem2Db
mat
,
const
float
*
scalar
,
DevMem2Db
mask
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
double
>(
DevMem2Db
mat
,
const
double
*
scalar
,
DevMem2Db
mask
,
int
channels
,
cudaStream_t
stream
);
template
<
typename
T
>
void
set_to_gpu
(
const
DevMem2Db
&
mat
,
const
T
*
scalar
,
int
channels
,
cudaStream_t
stream
)
void
set_to_gpu
(
DevMem2Db
mat
,
const
T
*
scalar
,
int
channels
,
cudaStream_t
stream
)
{
writeScalar
(
scalar
);
...
...
@@ -225,13 +225,13 @@ namespace cv { namespace gpu { namespace device
cudaSafeCall
(
cudaDeviceSynchronize
()
);
}
template
void
set_to_gpu
<
uchar
>(
const
DevMem2Db
&
mat
,
const
uchar
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
schar
>(
const
DevMem2Db
&
mat
,
const
schar
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
ushort
>(
const
DevMem2Db
&
mat
,
const
ushort
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
short
>(
const
DevMem2Db
&
mat
,
const
short
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
int
>(
const
DevMem2Db
&
mat
,
const
int
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
float
>(
const
DevMem2Db
&
mat
,
const
float
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
double
>(
const
DevMem2Db
&
mat
,
const
double
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
uchar
>(
DevMem2Db
mat
,
const
uchar
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
schar
>(
DevMem2Db
mat
,
const
schar
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
ushort
>(
DevMem2Db
mat
,
const
ushort
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
short
>(
DevMem2Db
mat
,
const
short
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
int
>(
DevMem2Db
mat
,
const
int
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
float
>(
DevMem2Db
mat
,
const
float
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
void
set_to_gpu
<
double
>(
DevMem2Db
mat
,
const
double
*
scalar
,
int
channels
,
cudaStream_t
stream
);
///////////////////////////////////////////////////////////////////////////
//////////////////////////////// ConvertTo ////////////////////////////////
...
...
@@ -298,7 +298,7 @@ namespace cv { namespace gpu { namespace device
};
template
<
typename
T
,
typename
D
>
void
cvt_
(
const
DevMem2Db
&
src
,
const
DevMem2Db
&
dst
,
double
alpha
,
double
beta
,
cudaStream_t
stream
)
void
cvt_
(
DevMem2Db
src
,
DevMem2Db
dst
,
double
alpha
,
double
beta
,
cudaStream_t
stream
)
{
cudaSafeCall
(
cudaSetDoubleForDevice
(
&
alpha
)
);
cudaSafeCall
(
cudaSetDoubleForDevice
(
&
beta
)
);
...
...
@@ -306,11 +306,9 @@ namespace cv { namespace gpu { namespace device
::
cv
::
gpu
::
device
::
transform
((
DevMem2D_
<
T
>
)
src
,
(
DevMem2D_
<
D
>
)
dst
,
op
,
stream
);
}
void
convert_gpu
(
const
DevMem2Db
&
src
,
int
sdepth
,
const
DevMem2Db
&
dst
,
int
ddepth
,
double
alpha
,
double
beta
,
cudaStream_t
stream
=
0
)
void
convert_gpu
(
DevMem2Db
src
,
int
sdepth
,
DevMem2Db
dst
,
int
ddepth
,
double
alpha
,
double
beta
,
cudaStream_t
stream
)
{
typedef
void
(
*
caller_t
)(
const
DevMem2Db
&
src
,
const
DevMem2Db
&
dst
,
double
alpha
,
double
beta
,
cudaStream_t
stream
);
typedef
void
(
*
caller_t
)(
DevMem2Db
src
,
DevMem2Db
dst
,
double
alpha
,
double
beta
,
cudaStream_t
stream
);
static
const
caller_t
tab
[
8
][
8
]
=
{
...
...
modules/core/src/gpumat.cpp
浏览文件 @
2695039a
此差异已折叠。
点击以展开。
modules/gpu/include/opencv2/gpu/gpu.hpp
浏览文件 @
2695039a
...
...
@@ -139,10 +139,6 @@ private:
int
minorVersion_
;
};
//////////////////////////////// Error handling ////////////////////////
CV_EXPORTS
void
error
(
const
char
*
error_string
,
const
char
*
file
,
const
int
line
,
const
char
*
func
);
//////////////////////////////// CudaMem ////////////////////////////////
// CudaMem is limited cv::Mat with page locked memory allocation.
// Page locked memory is only needed for async and faster coping to GPU.
...
...
modules/gpu/src/cuda/internal_shared.hpp
浏览文件 @
2695039a
...
...
@@ -49,36 +49,6 @@
#include "opencv2/gpu/devmem2d.hpp"
#include "safe_call.hpp"
#ifndef CV_PI
#define CV_PI 3.1415926535897932384626433832795
#endif
#ifndef CV_PI_F
#ifndef CV_PI
#define CV_PI_F 3.14159265f
#else
#define CV_PI_F ((float)CV_PI)
#endif
#endif
#ifdef __CUDACC__
namespace
cv
{
namespace
gpu
{
namespace
device
{
typedef
unsigned
char
uchar
;
typedef
unsigned
short
ushort
;
typedef
signed
char
schar
;
typedef
unsigned
int
uint
;
template
<
class
T
>
static
inline
void
bindTexture
(
const
textureReference
*
tex
,
const
DevMem2D_
<
T
>&
img
)
{
cudaChannelFormatDesc
desc
=
cudaCreateChannelDesc
<
T
>
();
cudaSafeCall
(
cudaBindTexture2D
(
0
,
tex
,
img
.
ptr
(),
&
desc
,
img
.
cols
,
img
.
rows
,
img
.
step
)
);
}
}}}
#endif
namespace
cv
{
namespace
gpu
{
enum
...
...
@@ -94,8 +64,6 @@ namespace cv { namespace gpu
// Returns true if the GPU analogue exists, false otherwise.
bool
tryConvertToGpuBorderType
(
int
cpuBorderType
,
int
&
gpuBorderType
);
static
inline
int
divUp
(
int
total
,
int
grain
)
{
return
(
total
+
grain
-
1
)
/
grain
;
}
class
NppStreamHandler
{
public:
...
...
modules/gpu/src/cuda/safe_call.hpp
浏览文件 @
2695039a
...
...
@@ -69,36 +69,36 @@ namespace cv { namespace gpu
void
ncvError
(
int
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
);
void
cufftError
(
int
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
);
void
cublasError
(
int
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
);
}}
static
inline
void
___cudaSafeCall
(
cudaError_t
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
)
{
if
(
cudaSuccess
!=
err
)
cv
::
gpu
::
error
(
cudaGetErrorString
(
err
),
file
,
line
,
func
);
}
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
);
}
static
inline
void
___nppSafeCall
(
int
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
)
{
if
(
err
<
0
)
cv
::
gpu
::
nppError
(
err
,
file
,
line
,
func
);
}
static
inline
void
___nppSafeCall
(
int
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
)
{
if
(
err
<
0
)
cv
::
gpu
::
nppError
(
err
,
file
,
line
,
func
);
}
static
inline
void
___ncvSafeCall
(
int
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
)
{
if
(
NCV_SUCCESS
!=
err
)
cv
::
gpu
::
ncvError
(
err
,
file
,
line
,
func
);
}
static
inline
void
___ncvSafeCall
(
int
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
)
{
if
(
NCV_SUCCESS
!=
err
)
cv
::
gpu
::
ncvError
(
err
,
file
,
line
,
func
);
}
static
inline
void
___cufftSafeCall
(
cufftResult_t
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
)
{
if
(
CUFFT_SUCCESS
!=
err
)
cv
::
gpu
::
cufftError
(
err
,
file
,
line
,
func
);
}
static
inline
void
___cufftSafeCall
(
cufftResult_t
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
)
{
if
(
CUFFT_SUCCESS
!=
err
)
cv
::
gpu
::
cufftError
(
err
,
file
,
line
,
func
);
}
static
inline
void
___cublasSafeCall
(
cublasStatus_t
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
)
{
if
(
CUBLAS_STATUS_SUCCESS
!=
err
)
cv
::
gpu
::
cublasError
(
err
,
file
,
line
,
func
);
}
}}
static
inline
void
___cublasSafeCall
(
cublasStatus_t
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
)
{
if
(
CUBLAS_STATUS_SUCCESS
!=
err
)
cv
::
gpu
::
cublasError
(
err
,
file
,
line
,
func
);
}
#endif
/* __OPENCV_CUDA_SAFE_CALL_HPP__ */
\ No newline at end of file
modules/gpu/src/cudastream.cpp
浏览文件 @
2695039a
...
...
@@ -71,19 +71,13 @@ cv::gpu::Stream::operator bool() const { throw_nogpu(); return false; }
#include "opencv2/gpu/stream_accessor.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
namespace
cv
{
namespace
gpu
{
void
copy_to_with_mask
(
const
DevMem2Db
&
src
,
DevMem2Db
dst
,
int
depth
,
const
DevMem2Db
&
mask
,
int
channels
,
const
cudaStream_t
&
stream
=
0
);
template
<
typename
T
>
void
set_to_gpu
(
const
DevMem2Db
&
mat
,
const
T
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
<
typename
T
>
void
set_to_gpu
(
const
DevMem2Db
&
mat
,
const
T
*
scalar
,
const
DevMem2Db
&
mask
,
int
channels
,
cudaStream_t
stream
);
void
convert_gpu
(
const
DevMem2Db
&
src
,
int
sdepth
,
const
DevMem2Db
&
dst
,
int
ddepth
,
double
alpha
,
double
beta
,
cudaStream_t
stream
=
0
);
}}}
using
namespace
::
cv
::
gpu
::
device
;
void
copyWithMask
(
const
GpuMat
&
src
,
GpuMat
&
dst
,
const
GpuMat
&
mask
,
cudaStream_t
stream
);
void
convertTo
(
const
GpuMat
&
src
,
GpuMat
&
dst
,
double
alpha
,
double
beta
,
cudaStream_t
stream
);
void
setTo
(
GpuMat
&
src
,
Scalar
s
,
cudaStream_t
stream
);
void
setTo
(
GpuMat
&
src
,
Scalar
s
,
const
GpuMat
&
mask
,
cudaStream_t
stream
);
}}
struct
Stream
::
Impl
{
...
...
@@ -99,20 +93,6 @@ namespace
size_t
bwidth
=
src
.
cols
*
src
.
elemSize
();
cudaSafeCall
(
cudaMemcpy2DAsync
(
dst
.
data
,
dst
.
step
,
src
.
data
,
src
.
step
,
bwidth
,
src
.
rows
,
k
,
s
)
);
};
template
<
typename
T
>
void
kernelSet
(
GpuMat
&
src
,
const
Scalar
&
s
,
cudaStream_t
stream
)
{
Scalar_
<
T
>
sf
=
s
;
set_to_gpu
(
src
,
sf
.
val
,
src
.
channels
(),
stream
);
}
template
<
typename
T
>
void
kernelSetMask
(
GpuMat
&
src
,
const
Scalar
&
s
,
const
GpuMat
&
mask
,
cudaStream_t
stream
)
{
Scalar_
<
T
>
sf
=
s
;
set_to_gpu
(
src
,
sf
.
val
,
mask
,
src
.
channels
(),
stream
);
}
}
CV_EXPORTS
cudaStream_t
cv
::
gpu
::
StreamAccessor
::
getStream
(
const
Stream
&
stream
)
{
return
stream
.
impl
?
stream
.
impl
->
stream
:
0
;
};
...
...
@@ -208,13 +188,7 @@ void cv::gpu::Stream::enqueueMemSet(GpuMat& src, Scalar s)
}
}
typedef
void
(
*
set_caller_t
)(
GpuMat
&
src
,
const
Scalar
&
s
,
cudaStream_t
stream
);
static
const
set_caller_t
set_callers
[]
=
{
kernelSet
<
uchar
>
,
kernelSet
<
schar
>
,
kernelSet
<
ushort
>
,
kernelSet
<
short
>
,
kernelSet
<
int
>
,
kernelSet
<
float
>
,
kernelSet
<
double
>
};
set_callers
[
src
.
depth
()](
src
,
s
,
impl
->
stream
);
setTo
(
src
,
s
,
impl
->
stream
);
}
void
cv
::
gpu
::
Stream
::
enqueueMemSet
(
GpuMat
&
src
,
Scalar
val
,
const
GpuMat
&
mask
)
...
...
@@ -224,13 +198,7 @@ void cv::gpu::Stream::enqueueMemSet(GpuMat& src, Scalar val, const GpuMat& mask)
CV_Assert
(
mask
.
type
()
==
CV_8UC1
);
typedef
void
(
*
set_caller_t
)(
GpuMat
&
src
,
const
Scalar
&
s
,
const
GpuMat
&
mask
,
cudaStream_t
stream
);
static
const
set_caller_t
set_callers
[]
=
{
kernelSetMask
<
uchar
>
,
kernelSetMask
<
schar
>
,
kernelSetMask
<
ushort
>
,
kernelSetMask
<
short
>
,
kernelSetMask
<
int
>
,
kernelSetMask
<
float
>
,
kernelSetMask
<
double
>
};
set_callers
[
src
.
depth
()](
src
,
val
,
mask
,
impl
->
stream
);
setTo
(
src
,
val
,
mask
,
impl
->
stream
);
}
void
cv
::
gpu
::
Stream
::
enqueueConvert
(
const
GpuMat
&
src
,
GpuMat
&
dst
,
int
rtype
,
double
alpha
,
double
beta
)
...
...
@@ -258,7 +226,7 @@ void cv::gpu::Stream::enqueueConvert(const GpuMat& src, GpuMat& dst, int rtype,
psrc
=
&
(
temp
=
src
);
dst
.
create
(
src
.
size
(),
rtype
);
convert
_gpu
(
psrc
->
reshape
(
1
),
sdepth
,
dst
.
reshape
(
1
),
ddepth
,
alpha
,
beta
,
impl
->
stream
);
convert
To
(
src
,
dst
,
alpha
,
beta
,
impl
->
stream
);
}
cv
::
gpu
::
Stream
::
operator
bool
()
const
...
...
modules/gpu/src/error.cpp
浏览文件 @
2695039a
...
...
@@ -220,22 +220,6 @@ namespace cv
{
namespace
gpu
{
void
error
(
const
char
*
error_string
,
const
char
*
file
,
const
int
line
,
const
char
*
func
)
{
int
code
=
CV_GpuApiCallError
;
if
(
uncaught_exception
())
{
const
char
*
errorStr
=
cvErrorStr
(
code
);
const
char
*
function
=
func
?
func
:
"unknown function"
;
cerr
<<
"OpenCV Error: "
<<
errorStr
<<
"("
<<
error_string
<<
") in "
<<
function
<<
", file "
<<
file
<<
", line "
<<
line
;
cerr
.
flush
();
}
else
cv
::
error
(
cv
::
Exception
(
code
,
error_string
,
func
,
file
,
line
)
);
}
void
nppError
(
int
code
,
const
char
*
file
,
const
int
line
,
const
char
*
func
)
{
string
msg
=
getErrorString
(
code
,
npp_errors
,
npp_error_num
);
...
...
modules/gpu/src/initialization.cpp
浏览文件 @
2695039a
...
...
@@ -271,379 +271,5 @@ void cv::gpu::DeviceInfo::queryMemory(size_t& free_memory, size_t& total_memory)
setDevice
(
prev_device_id
);
}
////////////////////////////////////////////////////////////////////
// GpuFuncTable
namespace
cv
{
namespace
gpu
{
namespace
device
{
void
copy_to_with_mask
(
const
DevMem2Db
&
src
,
DevMem2Db
dst
,
int
depth
,
const
DevMem2Db
&
mask
,
int
channels
,
const
cudaStream_t
&
stream
=
0
);
template
<
typename
T
>
void
set_to_gpu
(
const
DevMem2Db
&
mat
,
const
T
*
scalar
,
int
channels
,
cudaStream_t
stream
);
template
<
typename
T
>
void
set_to_gpu
(
const
DevMem2Db
&
mat
,
const
T
*
scalar
,
const
DevMem2Db
&
mask
,
int
channels
,
cudaStream_t
stream
);
void
convert_gpu
(
const
DevMem2Db
&
src
,
int
sdepth
,
const
DevMem2Db
&
dst
,
int
ddepth
,
double
alpha
,
double
beta
,
cudaStream_t
stream
=
0
);
}}}
namespace
{
//////////////////////////////////////////////////////////////////////////
// Convert
template
<
int
n
>
struct
NPPTypeTraits
;
template
<
>
struct
NPPTypeTraits
<
CV_8U
>
{
typedef
Npp8u
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
<
int
SDEPTH
,
int
DDEPTH
>
struct
NppConvertFunc
{
typedef
typename
NPPTypeTraits
<
SDEPTH
>::
npp_type
src_t
;
typedef
typename
NPPTypeTraits
<
DDEPTH
>::
npp_type
dst_t
;
typedef
NppStatus
(
*
func_ptr
)(
const
src_t
*
pSrc
,
int
nSrcStep
,
dst_t
*
pDst
,
int
nDstStep
,
NppiSize
oSizeROI
);
};
template
<
int
DDEPTH
>
struct
NppConvertFunc
<
CV_32F
,
DDEPTH
>
{
typedef
typename
NPPTypeTraits
<
DDEPTH
>::
npp_type
dst_t
;
typedef
NppStatus
(
*
func_ptr
)(
const
Npp32f
*
pSrc
,
int
nSrcStep
,
dst_t
*
pDst
,
int
nDstStep
,
NppiSize
oSizeROI
,
NppRoundMode
eRoundMode
);
};
template
<
int
SDEPTH
,
int
DDEPTH
,
typename
NppConvertFunc
<
SDEPTH
,
DDEPTH
>
::
func_ptr
func
>
struct
NppCvt
{
typedef
typename
NPPTypeTraits
<
SDEPTH
>::
npp_type
src_t
;
typedef
typename
NPPTypeTraits
<
DDEPTH
>::
npp_type
dst_t
;
static
void
cvt
(
const
GpuMat
&
src
,
GpuMat
&
dst
)
{
NppiSize
sz
;
sz
.
width
=
src
.
cols
;
sz
.
height
=
src
.
rows
;
nppSafeCall
(
func
(
src
.
ptr
<
src_t
>
(),
static_cast
<
int
>
(
src
.
step
),
dst
.
ptr
<
dst_t
>
(),
static_cast
<
int
>
(
dst
.
step
),
sz
)
);
cudaSafeCall
(
cudaDeviceSynchronize
()
);
}
};
template
<
int
DDEPTH
,
typename
NppConvertFunc
<
CV_32F
,
DDEPTH
>
::
func_ptr
func
>
struct
NppCvt
<
CV_32F
,
DDEPTH
,
func
>
{
typedef
typename
NPPTypeTraits
<
DDEPTH
>::
npp_type
dst_t
;
static
void
cvt
(
const
GpuMat
&
src
,
GpuMat
&
dst
)
{
NppiSize
sz
;
sz
.
width
=
src
.
cols
;
sz
.
height
=
src
.
rows
;
nppSafeCall
(
func
(
src
.
ptr
<
Npp32f
>
(),
static_cast
<
int
>
(
src
.
step
),
dst
.
ptr
<
dst_t
>
(),
static_cast
<
int
>
(
dst
.
step
),
sz
,
NPP_RND_NEAR
)
);
cudaSafeCall
(
cudaDeviceSynchronize
()
);
}
};
void
convertToKernelCaller
(
const
GpuMat
&
src
,
GpuMat
&
dst
)
{
::
cv
::
gpu
::
device
::
convert_gpu
(
src
.
reshape
(
1
),
src
.
depth
(),
dst
.
reshape
(
1
),
dst
.
depth
(),
1.0
,
0.0
);
}
//////////////////////////////////////////////////////////////////////////
// Set
template
<
int
SDEPTH
,
int
SCN
>
struct
NppSetFunc
{
typedef
typename
NPPTypeTraits
<
SDEPTH
>::
npp_type
src_t
;
typedef
NppStatus
(
*
func_ptr
)(
const
src_t
values
[],
src_t
*
pSrc
,
int
nSrcStep
,
NppiSize
oSizeROI
);
};
template
<
int
SDEPTH
>
struct
NppSetFunc
<
SDEPTH
,
1
>
{
typedef
typename
NPPTypeTraits
<
SDEPTH
>::
npp_type
src_t
;
typedef
NppStatus
(
*
func_ptr
)(
src_t
val
,
src_t
*
pSrc
,
int
nSrcStep
,
NppiSize
oSizeROI
);
};
template
<
int
SDEPTH
,
int
SCN
,
typename
NppSetFunc
<
SDEPTH
,
SCN
>
::
func_ptr
func
>
struct
NppSet
{
typedef
typename
NPPTypeTraits
<
SDEPTH
>::
npp_type
src_t
;
static
void
set
(
GpuMat
&
src
,
Scalar
s
)
{
NppiSize
sz
;
sz
.
width
=
src
.
cols
;
sz
.
height
=
src
.
rows
;
Scalar_
<
src_t
>
nppS
=
s
;
nppSafeCall
(
func
(
nppS
.
val
,
src
.
ptr
<
src_t
>
(),
static_cast
<
int
>
(
src
.
step
),
sz
)
);
cudaSafeCall
(
cudaDeviceSynchronize
()
);
}
};
template
<
int
SDEPTH
,
typename
NppSetFunc
<
SDEPTH
,
1
>
::
func_ptr
func
>
struct
NppSet
<
SDEPTH
,
1
,
func
>
{
typedef
typename
NPPTypeTraits
<
SDEPTH
>::
npp_type
src_t
;
static
void
set
(
GpuMat
&
src
,
Scalar
s
)
{
NppiSize
sz
;
sz
.
width
=
src
.
cols
;
sz
.
height
=
src
.
rows
;
Scalar_
<
src_t
>
nppS
=
s
;
nppSafeCall
(
func
(
nppS
[
0
],
src
.
ptr
<
src_t
>
(),
static_cast
<
int
>
(
src
.
step
),
sz
)
);
cudaSafeCall
(
cudaDeviceSynchronize
()
);
}
};
template
<
typename
T
>
void
kernelSet
(
GpuMat
&
src
,
Scalar
s
)
{
Scalar_
<
T
>
sf
=
s
;
::
cv
::
gpu
::
device
::
set_to_gpu
(
src
,
sf
.
val
,
src
.
channels
(),
0
);
}
template
<
int
SDEPTH
,
int
SCN
>
struct
NppSetMaskFunc
{
typedef
typename
NPPTypeTraits
<
SDEPTH
>::
npp_type
src_t
;
typedef
NppStatus
(
*
func_ptr
)(
const
src_t
values
[],
src_t
*
pSrc
,
int
nSrcStep
,
NppiSize
oSizeROI
,
const
Npp8u
*
pMask
,
int
nMaskStep
);
};
template
<
int
SDEPTH
>
struct
NppSetMaskFunc
<
SDEPTH
,
1
>
{
typedef
typename
NPPTypeTraits
<
SDEPTH
>::
npp_type
src_t
;
typedef
NppStatus
(
*
func_ptr
)(
src_t
val
,
src_t
*
pSrc
,
int
nSrcStep
,
NppiSize
oSizeROI
,
const
Npp8u
*
pMask
,
int
nMaskStep
);
};
template
<
int
SDEPTH
,
int
SCN
,
typename
NppSetMaskFunc
<
SDEPTH
,
SCN
>
::
func_ptr
func
>
struct
NppSetMask
{
typedef
typename
NPPTypeTraits
<
SDEPTH
>::
npp_type
src_t
;
static
void
set
(
GpuMat
&
src
,
Scalar
s
,
const
GpuMat
&
mask
)
{
NppiSize
sz
;
sz
.
width
=
src
.
cols
;
sz
.
height
=
src
.
rows
;
Scalar_
<
src_t
>
nppS
=
s
;
nppSafeCall
(
func
(
nppS
.
val
,
src
.
ptr
<
src_t
>
(),
static_cast
<
int
>
(
src
.
step
),
sz
,
mask
.
ptr
<
Npp8u
>
(),
static_cast
<
int
>
(
mask
.
step
))
);
cudaSafeCall
(
cudaDeviceSynchronize
()
);
}
};
template
<
int
SDEPTH
,
typename
NppSetMaskFunc
<
SDEPTH
,
1
>
::
func_ptr
func
>
struct
NppSetMask
<
SDEPTH
,
1
,
func
>
{
typedef
typename
NPPTypeTraits
<
SDEPTH
>::
npp_type
src_t
;
static
void
set
(
GpuMat
&
src
,
Scalar
s
,
const
GpuMat
&
mask
)
{
NppiSize
sz
;
sz
.
width
=
src
.
cols
;
sz
.
height
=
src
.
rows
;
Scalar_
<
src_t
>
nppS
=
s
;
nppSafeCall
(
func
(
nppS
[
0
],
src
.
ptr
<
src_t
>
(),
static_cast
<
int
>
(
src
.
step
),
sz
,
mask
.
ptr
<
Npp8u
>
(),
static_cast
<
int
>
(
mask
.
step
))
);
cudaSafeCall
(
cudaDeviceSynchronize
()
);
}
};
template
<
typename
T
>
void
kernelSetMask
(
GpuMat
&
src
,
Scalar
s
,
const
GpuMat
&
mask
)
{
Scalar_
<
T
>
sf
=
s
;
::
cv
::
gpu
::
device
::
set_to_gpu
(
src
,
sf
.
val
,
mask
,
src
.
channels
(),
0
);
}
class
CudaFuncTable
:
public
GpuFuncTable
{
public:
void
copy
(
const
Mat
&
src
,
GpuMat
&
dst
)
const
{
cudaSafeCall
(
cudaMemcpy2D
(
dst
.
data
,
dst
.
step
,
src
.
data
,
src
.
step
,
src
.
cols
*
src
.
elemSize
(),
src
.
rows
,
cudaMemcpyHostToDevice
)
);
}
void
copy
(
const
GpuMat
&
src
,
Mat
&
dst
)
const
{
cudaSafeCall
(
cudaMemcpy2D
(
dst
.
data
,
dst
.
step
,
src
.
data
,
src
.
step
,
src
.
cols
*
src
.
elemSize
(),
src
.
rows
,
cudaMemcpyDeviceToHost
)
);
}
void
copy
(
const
GpuMat
&
src
,
GpuMat
&
dst
)
const
{
cudaSafeCall
(
cudaMemcpy2D
(
dst
.
data
,
dst
.
step
,
src
.
data
,
src
.
step
,
src
.
cols
*
src
.
elemSize
(),
src
.
rows
,
cudaMemcpyDeviceToDevice
)
);
}
void
copyWithMask
(
const
GpuMat
&
src
,
GpuMat
&
dst
,
const
GpuMat
&
mask
)
const
{
::
cv
::
gpu
::
device
::
copy_to_with_mask
(
src
,
dst
,
src
.
depth
(),
mask
,
src
.
channels
());
}
void
convert
(
const
GpuMat
&
src
,
GpuMat
&
dst
)
const
{
typedef
void
(
*
caller_t
)(
const
GpuMat
&
src
,
GpuMat
&
dst
);
static
const
caller_t
callers
[
7
][
7
][
7
]
=
{
{
/* 8U -> 8U */
{
0
,
0
,
0
,
0
},
/* 8U -> 8S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 8U -> 16U */
{
NppCvt
<
CV_8U
,
CV_16U
,
nppiConvert_8u16u_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
NppCvt
<
CV_8U
,
CV_16U
,
nppiConvert_8u16u_C4R
>::
cvt
},
/* 8U -> 16S */
{
NppCvt
<
CV_8U
,
CV_16S
,
nppiConvert_8u16s_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
NppCvt
<
CV_8U
,
CV_16S
,
nppiConvert_8u16s_C4R
>::
cvt
},
/* 8U -> 32S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 8U -> 32F */
{
NppCvt
<
CV_8U
,
CV_32F
,
nppiConvert_8u32f_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 8U -> 64F */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
}
},
{
/* 8S -> 8U */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 8S -> 8S */
{
0
,
0
,
0
,
0
},
/* 8S -> 16U */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 8S -> 16S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 8S -> 32S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 8S -> 32F */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 8S -> 64F */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
}
},
{
/* 16U -> 8U */
{
NppCvt
<
CV_16U
,
CV_8U
,
nppiConvert_16u8u_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
NppCvt
<
CV_16U
,
CV_8U
,
nppiConvert_16u8u_C4R
>::
cvt
},
/* 16U -> 8S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 16U -> 16U */
{
0
,
0
,
0
,
0
},
/* 16U -> 16S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 16U -> 32S */
{
NppCvt
<
CV_16U
,
CV_32S
,
nppiConvert_16u32s_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 16U -> 32F */
{
NppCvt
<
CV_16U
,
CV_32F
,
nppiConvert_16u32f_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 16U -> 64F */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
}
},
{
/* 16S -> 8U */
{
NppCvt
<
CV_16S
,
CV_8U
,
nppiConvert_16s8u_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
NppCvt
<
CV_16S
,
CV_8U
,
nppiConvert_16s8u_C4R
>::
cvt
},
/* 16S -> 8S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 16S -> 16U */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 16S -> 16S */
{
0
,
0
,
0
,
0
},
/* 16S -> 32S */
{
NppCvt
<
CV_16S
,
CV_32S
,
nppiConvert_16s32s_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 16S -> 32F */
{
NppCvt
<
CV_16S
,
CV_32F
,
nppiConvert_16s32f_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 16S -> 64F */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
}
},
{
/* 32S -> 8U */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 32S -> 8S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 32S -> 16U */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 32S -> 16S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 32S -> 32S */
{
0
,
0
,
0
,
0
},
/* 32S -> 32F */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 32S -> 64F */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
}
},
{
/* 32F -> 8U */
{
NppCvt
<
CV_32F
,
CV_8U
,
nppiConvert_32f8u_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 32F -> 8S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 32F -> 16U */
{
NppCvt
<
CV_32F
,
CV_16U
,
nppiConvert_32f16u_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 32F -> 16S */
{
NppCvt
<
CV_32F
,
CV_16S
,
nppiConvert_32f16s_C1R
>::
cvt
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 32F -> 32S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 32F -> 32F */
{
0
,
0
,
0
,
0
},
/* 32F -> 64F */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
}
},
{
/* 64F -> 8U */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 64F -> 8S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 64F -> 16U */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 64F -> 16S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 64F -> 32S */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 64F -> 32F */
{
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
,
convertToKernelCaller
},
/* 64F -> 64F */
{
0
,
0
,
0
,
0
}
}
};
caller_t
func
=
callers
[
src
.
depth
()][
dst
.
depth
()][
src
.
channels
()
-
1
];
CV_DbgAssert
(
func
!=
0
);
func
(
src
,
dst
);
}
void
convert
(
const
GpuMat
&
src
,
GpuMat
&
dst
,
double
alpha
,
double
beta
)
const
{
::
cv
::
gpu
::
device
::
convert_gpu
(
src
.
reshape
(
1
),
src
.
depth
(),
dst
.
reshape
(
1
),
dst
.
depth
(),
alpha
,
beta
);
}
void
setTo
(
GpuMat
&
m
,
Scalar
s
,
const
GpuMat
&
mask
)
const
{
NppiSize
sz
;
sz
.
width
=
m
.
cols
;
sz
.
height
=
m
.
rows
;
if
(
mask
.
empty
())
{
if
(
s
[
0
]
==
0.0
&&
s
[
1
]
==
0.0
&&
s
[
2
]
==
0.0
&&
s
[
3
]
==
0.0
)
{
cudaSafeCall
(
cudaMemset2D
(
m
.
data
,
m
.
step
,
0
,
m
.
cols
*
m
.
elemSize
(),
m
.
rows
)
);
return
;
}
if
(
m
.
depth
()
==
CV_8U
)
{
int
cn
=
m
.
channels
();
if
(
cn
==
1
||
(
cn
==
2
&&
s
[
0
]
==
s
[
1
])
||
(
cn
==
3
&&
s
[
0
]
==
s
[
1
]
&&
s
[
0
]
==
s
[
2
])
||
(
cn
==
4
&&
s
[
0
]
==
s
[
1
]
&&
s
[
0
]
==
s
[
2
]
&&
s
[
0
]
==
s
[
3
]))
{
int
val
=
saturate_cast
<
uchar
>
(
s
[
0
]);
cudaSafeCall
(
cudaMemset2D
(
m
.
data
,
m
.
step
,
val
,
m
.
cols
*
m
.
elemSize
(),
m
.
rows
)
);
return
;
}
}
typedef
void
(
*
caller_t
)(
GpuMat
&
src
,
Scalar
s
);
static
const
caller_t
callers
[
7
][
4
]
=
{
{
NppSet
<
CV_8U
,
1
,
nppiSet_8u_C1R
>::
set
,
kernelSet
<
uchar
>
,
kernelSet
<
uchar
>
,
NppSet
<
CV_8U
,
4
,
nppiSet_8u_C4R
>::
set
},
{
kernelSet
<
schar
>
,
kernelSet
<
schar
>
,
kernelSet
<
schar
>
,
kernelSet
<
schar
>
},
{
NppSet
<
CV_16U
,
1
,
nppiSet_16u_C1R
>::
set
,
NppSet
<
CV_16U
,
2
,
nppiSet_16u_C2R
>::
set
,
kernelSet
<
ushort
>
,
NppSet
<
CV_16U
,
4
,
nppiSet_16u_C4R
>::
set
},
{
NppSet
<
CV_16S
,
1
,
nppiSet_16s_C1R
>::
set
,
NppSet
<
CV_16S
,
2
,
nppiSet_16s_C2R
>::
set
,
kernelSet
<
short
>
,
NppSet
<
CV_16S
,
4
,
nppiSet_16s_C4R
>::
set
},
{
NppSet
<
CV_32S
,
1
,
nppiSet_32s_C1R
>::
set
,
kernelSet
<
int
>
,
kernelSet
<
int
>
,
NppSet
<
CV_32S
,
4
,
nppiSet_32s_C4R
>::
set
},
{
NppSet
<
CV_32F
,
1
,
nppiSet_32f_C1R
>::
set
,
kernelSet
<
float
>
,
kernelSet
<
float
>
,
NppSet
<
CV_32F
,
4
,
nppiSet_32f_C4R
>::
set
},
{
kernelSet
<
double
>
,
kernelSet
<
double
>
,
kernelSet
<
double
>
,
kernelSet
<
double
>
}
};
callers
[
m
.
depth
()][
m
.
channels
()
-
1
](
m
,
s
);
}
else
{
typedef
void
(
*
caller_t
)(
GpuMat
&
src
,
Scalar
s
,
const
GpuMat
&
mask
);
static
const
caller_t
callers
[
7
][
4
]
=
{
{
NppSetMask
<
CV_8U
,
1
,
nppiSet_8u_C1MR
>::
set
,
kernelSetMask
<
uchar
>
,
kernelSetMask
<
uchar
>
,
NppSetMask
<
CV_8U
,
4
,
nppiSet_8u_C4MR
>::
set
},
{
kernelSetMask
<
schar
>
,
kernelSetMask
<
schar
>
,
kernelSetMask
<
schar
>
,
kernelSetMask
<
schar
>
},
{
NppSetMask
<
CV_16U
,
1
,
nppiSet_16u_C1MR
>::
set
,
kernelSetMask
<
ushort
>
,
kernelSetMask
<
ushort
>
,
NppSetMask
<
CV_16U
,
4
,
nppiSet_16u_C4MR
>::
set
},
{
NppSetMask
<
CV_16S
,
1
,
nppiSet_16s_C1MR
>::
set
,
kernelSetMask
<
short
>
,
kernelSetMask
<
short
>
,
NppSetMask
<
CV_16S
,
4
,
nppiSet_16s_C4MR
>::
set
},
{
NppSetMask
<
CV_32S
,
1
,
nppiSet_32s_C1MR
>::
set
,
kernelSetMask
<
int
>
,
kernelSetMask
<
int
>
,
NppSetMask
<
CV_32S
,
4
,
nppiSet_32s_C4MR
>::
set
},
{
NppSetMask
<
CV_32F
,
1
,
nppiSet_32f_C1MR
>::
set
,
kernelSetMask
<
float
>
,
kernelSetMask
<
float
>
,
NppSetMask
<
CV_32F
,
4
,
nppiSet_32f_C4MR
>::
set
},
{
kernelSetMask
<
double
>
,
kernelSetMask
<
double
>
,
kernelSetMask
<
double
>
,
kernelSetMask
<
double
>
}
};
callers
[
m
.
depth
()][
m
.
channels
()
-
1
](
m
,
s
,
mask
);
}
}
void
mallocPitch
(
void
**
devPtr
,
size_t
*
step
,
size_t
width
,
size_t
height
)
const
{
cudaSafeCall
(
cudaMallocPitch
(
devPtr
,
step
,
width
,
height
)
);
}
void
free
(
void
*
devPtr
)
const
{
cudaFree
(
devPtr
);
}
};
class
Initializer
{
public:
Initializer
()
{
static
CudaFuncTable
funcTable
;
setGpuFuncTable
(
&
funcTable
);
}
};
Initializer
init
;
}
#endif
modules/gpu/src/opencv2/gpu/device/border_interpolate.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,6 @@
#ifndef __OPENCV_GPU_BORDER_INTERPOLATE_HPP__
#define __OPENCV_GPU_BORDER_INTERPOLATE_HPP__
#include "internal_shared.hpp"
#include "saturate_cast.hpp"
#include "vec_traits.hpp"
#include "vec_math.hpp"
...
...
modules/gpu/src/opencv2/gpu/device/color.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,6 @@
#ifndef __OPENCV_GPU_COLOR_HPP__
#define __OPENCV_GPU_COLOR_HPP__
#include "internal_shared.hpp"
#include "detail/color_detail.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
...
...
modules/gpu/src/opencv2/gpu/device/common.hpp
0 → 100644
浏览文件 @
2695039a
/*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_COMMON_HPP__
#define __OPENCV_GPU_COMMON_HPP__
#include <cuda_runtime.h>
#include "opencv2/core/devmem2d.hpp"
#ifndef CV_PI
#define CV_PI 3.1415926535897932384626433832795
#endif
#ifndef CV_PI_F
#ifndef CV_PI
#define CV_PI_F 3.14159265f
#else
#define CV_PI_F ((float)CV_PI)
#endif
#endif
namespace
cv
{
namespace
gpu
{
__host__
__device__
__forceinline__
int
divUp
(
int
total
,
int
grain
)
{
return
(
total
+
grain
-
1
)
/
grain
;
}
namespace
device
{
typedef
unsigned
char
uchar
;
typedef
unsigned
short
ushort
;
typedef
signed
char
schar
;
typedef
unsigned
int
uint
;
template
<
class
T
>
inline
void
bindTexture
(
const
textureReference
*
tex
,
const
DevMem2D_
<
T
>&
img
)
{
cudaChannelFormatDesc
desc
=
cudaCreateChannelDesc
<
T
>
();
cudaSafeCall
(
cudaBindTexture2D
(
0
,
tex
,
img
.
ptr
(),
&
desc
,
img
.
cols
,
img
.
rows
,
img
.
step
)
);
}
}
}}
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
#else
/* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
#endif
namespace
cv
{
namespace
gpu
{
void
error
(
const
char
*
error_string
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
);
}}
static
inline
void
___cudaSafeCall
(
cudaError_t
err
,
const
char
*
file
,
const
int
line
,
const
char
*
func
=
""
)
{
if
(
cudaSuccess
!=
err
)
cv
::
gpu
::
error
(
cudaGetErrorString
(
err
),
file
,
line
,
func
);
}
#endif // __OPENCV_GPU_COMMON_HPP__
modules/gpu/src/opencv2/gpu/device/datamov_utils.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,7 @@
#ifndef __OPENCV_GPU_DATAMOV_UTILS_HPP__
#define __OPENCV_GPU_DATAMOV_UTILS_HPP__
#include "
internal_shared
.hpp"
#include "
common
.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
{
...
...
modules/gpu/src/opencv2/gpu/device/detail/color_detail.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,7 @@
#ifndef __OPENCV_GPU_COLOR_DETAIL_HPP__
#define __OPENCV_GPU_COLOR_DETAIL_HPP__
#include "
internal_shared
.hpp"
#include "
../common
.hpp"
#include "../vec_traits.hpp"
#include "../saturate_cast.hpp"
#include "../limits.hpp"
...
...
modules/gpu/src/opencv2/gpu/device/detail/transform_detail.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,7 @@
#ifndef __OPENCV_GPU_TRANSFORM_DETAIL_HPP__
#define __OPENCV_GPU_TRANSFORM_DETAIL_HPP__
#include "
internal_shared
.hpp"
#include "
../common
.hpp"
#include "../vec_traits.hpp"
#include "../functional.hpp"
...
...
modules/gpu/src/opencv2/gpu/device/detail/type_traits_detail.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,7 @@
#ifndef __OPENCV_GPU_TYPE_TRAITS_DETAIL_HPP__
#define __OPENCV_GPU_TYPE_TRAITS_DETAIL_HPP__
#include "
internal_shared
.hpp"
#include "
../common
.hpp"
#include "../vec_traits.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
...
...
modules/gpu/src/opencv2/gpu/device/detail/utility_detail.hpp
浏览文件 @
2695039a
...
...
@@ -43,8 +43,6 @@
#ifndef __OPENCV_GPU_UTILITY_DETAIL_HPP__
#define __OPENCV_GPU_UTILITY_DETAIL_HPP__
#include "internal_shared.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
{
namespace
utility_detail
...
...
modules/gpu/src/opencv2/gpu/device/detail/vec_distance_detail.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,6 @@
#ifndef __OPENCV_GPU_VEC_DISTANCE_DETAIL_HPP__
#define __OPENCV_GPU_VEC_DISTANCE_DETAIL_HPP__
#include "internal_shared.hpp"
#include "../datamov_utils.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
...
...
modules/gpu/src/opencv2/gpu/device/dynamic_smem.hpp
浏览文件 @
2695039a
...
...
@@ -43,41 +43,38 @@
#ifndef __OPENCV_GPU_DYNAMIC_SMEM_HPP__
#define __OPENCV_GPU_DYNAMIC_SMEM_HPP__
#include "internal_shared.hpp"
BEGIN_OPENCV_DEVICE_NAMESPACE
template
<
class
T
>
struct
DynamicSharedMem
{
__device__
__forceinline__
operator
T
*
()
{
extern
__shared__
int
__smem
[];
return
(
T
*
)
__smem
;
}
__device__
__forceinline__
operator
const
T
*
()
const
namespace
cv
{
namespace
gpu
{
namespace
device
{
template
<
class
T
>
struct
DynamicSharedMem
{
extern
__shared__
int
__smem
[];
return
(
T
*
)
__smem
;
}
};
__device__
__forceinline__
operator
T
*
()
{
extern
__shared__
int
__smem
[];
return
(
T
*
)
__smem
;
}
// specialize for double to avoid unaligned memory access compile errors
template
<
>
struct
DynamicSharedMem
<
double
>
{
__device__
__forceinline__
operator
double
*
()
{
extern
__shared__
double
__smem_d
[];
return
(
double
*
)
__smem_d
;
}
__device__
__forceinline__
operator
const
T
*
()
const
{
extern
__shared__
int
__smem
[];
return
(
T
*
)
__smem
;
}
};
__device__
__forceinline__
operator
const
double
*
()
const
// specialize for double to avoid unaligned memory access compile errors
template
<
>
struct
DynamicSharedMem
<
double
>
{
extern
__shared__
double
__smem_d
[];
return
(
double
*
)
__smem_d
;
}
};
__device__
__forceinline__
operator
double
*
()
{
extern
__shared__
double
__smem_d
[];
return
(
double
*
)
__smem_d
;
}
END_OPENCV_DEVICE_NAMESPACE
__device__
__forceinline__
operator
const
double
*
()
const
{
extern
__shared__
double
__smem_d
[];
return
(
double
*
)
__smem_d
;
}
};
}}}
#endif // __OPENCV_GPU_DYNAMIC_SMEM_HPP__
modules/gpu/src/opencv2/gpu/device/emulation.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,6 @@
#ifndef OPENCV_GPU_EMULATION_HPP_
#define OPENCV_GPU_EMULATION_HPP_
#include "internal_shared.hpp"
#include "warp_reduce.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
...
...
modules/gpu/src/opencv2/gpu/device/filters.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,6 @@
#ifndef __OPENCV_GPU_FILTERS_HPP__
#define __OPENCV_GPU_FILTERS_HPP__
#include "internal_shared.hpp"
#include "saturate_cast.hpp"
#include "vec_traits.hpp"
#include "vec_math.hpp"
...
...
modules/gpu/src/opencv2/gpu/device/funcattrib.hpp
浏览文件 @
2695039a
...
...
@@ -45,7 +45,6 @@
#define __OPENCV_GPU_DEVICE_FUNCATTRIB_HPP_
#include <cstdio>
#include "internal_shared.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
{
...
...
modules/gpu/src/opencv2/gpu/device/functional.hpp
浏览文件 @
2695039a
...
...
@@ -44,7 +44,6 @@
#define __OPENCV_GPU_FUNCTIONAL_HPP__
#include <thrust/functional.h>
#include "internal_shared.hpp"
#include "saturate_cast.hpp"
#include "vec_traits.hpp"
#include "type_traits.hpp"
...
...
modules/gpu/src/opencv2/gpu/device/limits.hpp
浏览文件 @
2695039a
...
...
@@ -44,7 +44,7 @@
#define __OPENCV_GPU_LIMITS_GPU_HPP__
#include <limits>
#include "
internal_shared
.hpp"
#include "
common
.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
{
...
...
modules/gpu/src/opencv2/gpu/device/saturate_cast.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,7 @@
#ifndef __OPENCV_GPU_SATURATE_CAST_HPP__
#define __OPENCV_GPU_SATURATE_CAST_HPP__
#include "
internal_shared
.hpp"
#include "
common
.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
{
...
...
modules/gpu/src/opencv2/gpu/device/transform.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,7 @@
#ifndef __OPENCV_GPU_TRANSFORM_HPP__
#define __OPENCV_GPU_TRANSFORM_HPP__
#include "
internal_shared
.hpp"
#include "
common
.hpp"
#include "utility.hpp"
#include "detail/transform_detail.hpp"
...
...
modules/gpu/src/opencv2/gpu/device/type_traits.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,6 @@
#ifndef __OPENCV_GPU_TYPE_TRAITS_HPP__
#define __OPENCV_GPU_TYPE_TRAITS_HPP__
#include "internal_shared.hpp"
#include "detail/type_traits_detail.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
...
...
modules/gpu/src/opencv2/gpu/device/utility.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,6 @@
#ifndef __OPENCV_GPU_UTILITY_HPP__
#define __OPENCV_GPU_UTILITY_HPP__
#include "internal_shared.hpp"
#include "saturate_cast.hpp"
#include "datamov_utils.hpp"
#include "detail/utility_detail.hpp"
...
...
modules/gpu/src/opencv2/gpu/device/vec_distance.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,6 @@
#ifndef __OPENCV_GPU_VEC_DISTANCE_HPP__
#define __OPENCV_GPU_VEC_DISTANCE_HPP__
#include "internal_shared.hpp"
#include "utility.hpp"
#include "functional.hpp"
#include "detail/vec_distance_detail.hpp"
...
...
modules/gpu/src/opencv2/gpu/device/vec_math.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,6 @@
#ifndef __OPENCV_GPU_VECMATH_HPP__
#define __OPENCV_GPU_VECMATH_HPP__
#include "internal_shared.hpp"
#include "saturate_cast.hpp"
#include "vec_traits.hpp"
#include "functional.hpp"
...
...
modules/gpu/src/opencv2/gpu/device/vec_traits.hpp
浏览文件 @
2695039a
...
...
@@ -43,7 +43,7 @@
#ifndef __OPENCV_GPU_VEC_TRAITS_HPP__
#define __OPENCV_GPU_VEC_TRAITS_HPP__
#include "
internal_shared
.hpp"
#include "
common
.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
{
...
...
modules/gpu/src/opencv2/gpu/device/warp.hpp
浏览文件 @
2695039a
...
...
@@ -43,8 +43,6 @@
#ifndef __OPENCV_GPU_DEVICE_WARP_HPP__
#define __OPENCV_GPU_DEVICE_WARP_HPP__
#include "internal_shared.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
{
struct
Warp
...
...
modules/gpu/src/opencv2/gpu/device/warp_reduce.hpp
浏览文件 @
2695039a
...
...
@@ -44,8 +44,6 @@
#ifndef OPENCV_GPU_WARP_REDUCE_HPP__
#define OPENCV_GPU_WARP_REDUCE_HPP__
#include "internal_shared.hpp"
namespace
cv
{
namespace
gpu
{
namespace
device
{
template
<
class
T
>
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录