renamed gpu::cudev namespace -> cuda::device

cudev is used for new device layer

modules/core/include/opencv2/core/cuda/block.hpp

@@ -43,7 +43,7 @@
 #ifndef __OPENCV_GPU_DEVICE_BLOCK_HPP__
 #define __OPENCV_GPU_DEVICE_BLOCK_HPP__
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     struct Block
     {

modules/core/include/opencv2/core/cuda/border_interpolate.hpp

@@ -47,7 +47,7 @@
 #include "vec_traits.hpp"
 #include "vec_math.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     //////////////////////////////////////////////////////////////
     // BrdConstant

modules/core/include/opencv2/core/cuda/color.hpp

@@ -45,7 +45,7 @@
 
 #include "detail/color_detail.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     // All OPENCV_GPU_IMPLEMENT_*_TRAITS(ColorSpace1_to_ColorSpace2, ...) macros implements
     // template <typename T> class ColorSpace1_to_ColorSpace2_traits

modules/core/include/opencv2/core/cuda/common.hpp

@@ -87,7 +87,7 @@ namespace cv { namespace cuda
 
 namespace cv { namespace cuda
 {
-    namespace cudev
+    namespace device
     {
         __host__ __device__ __forceinline__ int divUp(int total, int grain)
         {

modules/core/include/opencv2/core/cuda/datamov_utils.hpp

@@ -45,7 +45,7 @@
 
 #include "common.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 200
 

modules/core/include/opencv2/core/cuda/detail/color_detail.hpp

@@ -49,7 +49,7 @@
 #include "../limits.hpp"
 #include "../functional.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     #ifndef CV_DESCALE
         #define CV_DESCALE(x, n) (((x) + (1 << ((n)-1))) >> (n))
@@ -146,7 +146,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB2RGB_TRAITS(name, scn, dcn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2RGB<T, scn, dcn, bidx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2RGB<T, scn, dcn, bidx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -219,7 +219,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB2RGB5x5_TRAITS(name, scn, bidx, green_bits) \
     struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2RGB5x5<scn, bidx, green_bits> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2RGB5x5<scn, bidx, green_bits> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -300,7 +300,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB5x52RGB_TRAITS(name, dcn, bidx, green_bits) \
     struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB5x52RGB<dcn, bidx, green_bits> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB5x52RGB<dcn, bidx, green_bits> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -346,7 +346,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_GRAY2RGB_TRAITS(name, dcn) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::Gray2RGB<T, dcn> functor_type; \
+        typedef ::cv::cuda::device::color_detail::Gray2RGB<T, dcn> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -388,7 +388,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_GRAY2RGB5x5_TRAITS(name, green_bits) \
     struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::Gray2RGB5x5<green_bits> functor_type; \
+        typedef ::cv::cuda::device::color_detail::Gray2RGB5x5<green_bits> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -430,7 +430,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB5x52GRAY_TRAITS(name, green_bits) \
     struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB5x52Gray<green_bits> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB5x52Gray<green_bits> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -481,7 +481,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB2GRAY_TRAITS(name, scn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2Gray<T, scn, bidx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2Gray<T, scn, bidx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -532,7 +532,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB2YUV_TRAITS(name, scn, dcn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2YUV<T, scn, dcn, bidx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2YUV<T, scn, dcn, bidx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -620,7 +620,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_YUV2RGB_TRAITS(name, scn, dcn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::YUV2RGB<T, scn, dcn, bidx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::YUV2RGB<T, scn, dcn, bidx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -699,7 +699,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB2YCrCb_TRAITS(name, scn, dcn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2YCrCb<T, scn, dcn, bidx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2YCrCb<T, scn, dcn, bidx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -778,7 +778,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_YCrCb2RGB_TRAITS(name, scn, dcn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::YCrCb2RGB<T, scn, dcn, bidx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::YCrCb2RGB<T, scn, dcn, bidx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -854,7 +854,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB2XYZ_TRAITS(name, scn, dcn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2XYZ<T, scn, dcn, bidx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2XYZ<T, scn, dcn, bidx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -929,7 +929,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_XYZ2RGB_TRAITS(name, scn, dcn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::XYZ2RGB<T, scn, dcn, bidx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::XYZ2RGB<T, scn, dcn, bidx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1067,7 +1067,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB2HSV_TRAITS(name, scn, dcn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2HSV<T, scn, dcn, bidx, 180> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2HSV<T, scn, dcn, bidx, 180> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1075,7 +1075,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <typename T> struct name ## _full_traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2HSV<T, scn, dcn, bidx, 256> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2HSV<T, scn, dcn, bidx, 256> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1083,7 +1083,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <> struct name ## _traits<float> \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2HSV<float, scn, dcn, bidx, 360> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2HSV<float, scn, dcn, bidx, 360> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1091,7 +1091,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <> struct name ## _full_traits<float> \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2HSV<float, scn, dcn, bidx, 360> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2HSV<float, scn, dcn, bidx, 360> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1207,7 +1207,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_HSV2RGB_TRAITS(name, scn, dcn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::HSV2RGB<T, scn, dcn, bidx, 180> functor_type; \
+        typedef ::cv::cuda::device::color_detail::HSV2RGB<T, scn, dcn, bidx, 180> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1215,7 +1215,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <typename T> struct name ## _full_traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::HSV2RGB<T, scn, dcn, bidx, 255> functor_type; \
+        typedef ::cv::cuda::device::color_detail::HSV2RGB<T, scn, dcn, bidx, 255> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1223,7 +1223,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <> struct name ## _traits<float> \
     { \
-        typedef ::cv::cuda::cudev::color_detail::HSV2RGB<float, scn, dcn, bidx, 360> functor_type; \
+        typedef ::cv::cuda::device::color_detail::HSV2RGB<float, scn, dcn, bidx, 360> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1231,7 +1231,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <> struct name ## _full_traits<float> \
     { \
-        typedef ::cv::cuda::cudev::color_detail::HSV2RGB<float, scn, dcn, bidx, 360> functor_type; \
+        typedef ::cv::cuda::device::color_detail::HSV2RGB<float, scn, dcn, bidx, 360> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1340,7 +1340,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB2HLS_TRAITS(name, scn, dcn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2HLS<T, scn, dcn, bidx, 180> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2HLS<T, scn, dcn, bidx, 180> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1348,7 +1348,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <typename T> struct name ## _full_traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2HLS<T, scn, dcn, bidx, 256> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2HLS<T, scn, dcn, bidx, 256> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1356,7 +1356,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <> struct name ## _traits<float> \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2HLS<float, scn, dcn, bidx, 360> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2HLS<float, scn, dcn, bidx, 360> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1364,7 +1364,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <> struct name ## _full_traits<float> \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2HLS<float, scn, dcn, bidx, 360> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2HLS<float, scn, dcn, bidx, 360> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1480,7 +1480,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_HLS2RGB_TRAITS(name, scn, dcn, bidx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::HLS2RGB<T, scn, dcn, bidx, 180> functor_type; \
+        typedef ::cv::cuda::device::color_detail::HLS2RGB<T, scn, dcn, bidx, 180> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1488,7 +1488,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <typename T> struct name ## _full_traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::HLS2RGB<T, scn, dcn, bidx, 255> functor_type; \
+        typedef ::cv::cuda::device::color_detail::HLS2RGB<T, scn, dcn, bidx, 255> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1496,7 +1496,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <> struct name ## _traits<float> \
     { \
-        typedef ::cv::cuda::cudev::color_detail::HLS2RGB<float, scn, dcn, bidx, 360> functor_type; \
+        typedef ::cv::cuda::device::color_detail::HLS2RGB<float, scn, dcn, bidx, 360> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1504,7 +1504,7 @@ namespace cv { namespace cuda { namespace cudev
     }; \
     template <> struct name ## _full_traits<float> \
     { \
-        typedef ::cv::cuda::cudev::color_detail::HLS2RGB<float, scn, dcn, bidx, 360> functor_type; \
+        typedef ::cv::cuda::device::color_detail::HLS2RGB<float, scn, dcn, bidx, 360> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1649,7 +1649,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB2Lab_TRAITS(name, scn, dcn, srgb, blueIdx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2Lab<T, scn, dcn, srgb, blueIdx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2Lab<T, scn, dcn, srgb, blueIdx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1762,7 +1762,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_Lab2RGB_TRAITS(name, scn, dcn, srgb, blueIdx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::Lab2RGB<T, scn, dcn, srgb, blueIdx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::Lab2RGB<T, scn, dcn, srgb, blueIdx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1861,7 +1861,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_RGB2Luv_TRAITS(name, scn, dcn, srgb, blueIdx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::RGB2Luv<T, scn, dcn, srgb, blueIdx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::RGB2Luv<T, scn, dcn, srgb, blueIdx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \
@@ -1962,7 +1962,7 @@ namespace cv { namespace cuda { namespace cudev
 #define OPENCV_GPU_IMPLEMENT_Luv2RGB_TRAITS(name, scn, dcn, srgb, blueIdx) \
     template <typename T> struct name ## _traits \
     { \
-        typedef ::cv::cuda::cudev::color_detail::Luv2RGB<T, scn, dcn, srgb, blueIdx> functor_type; \
+        typedef ::cv::cuda::device::color_detail::Luv2RGB<T, scn, dcn, srgb, blueIdx> functor_type; \
         static __host__ __device__ __forceinline__ functor_type create_functor() \
         { \
             return functor_type(); \

modules/core/include/opencv2/core/cuda/detail/reduce.hpp

@@ -47,7 +47,7 @@
 #include "../warp.hpp"
 #include "../warp_shuffle.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace reduce_detail
     {

modules/core/include/opencv2/core/cuda/detail/reduce_key_val.hpp

@@ -47,7 +47,7 @@
 #include "../warp.hpp"
 #include "../warp_shuffle.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace reduce_key_val_detail
     {

modules/core/include/opencv2/core/cuda/detail/transform_detail.hpp

@@ -47,7 +47,7 @@
 #include "../vec_traits.hpp"
 #include "../functional.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace transform_detail
     {

modules/core/include/opencv2/core/cuda/detail/type_traits_detail.hpp

@@ -46,7 +46,7 @@
 #include "../common.hpp"
 #include "../vec_traits.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace type_traits_detail
     {

modules/core/include/opencv2/core/cuda/detail/vec_distance_detail.hpp

@@ -45,7 +45,7 @@
 
 #include "../datamov_utils.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace vec_distance_detail
     {

modules/core/include/opencv2/core/cuda/dynamic_smem.hpp

@@ -43,7 +43,7 @@
 #ifndef __OPENCV_GPU_DYNAMIC_SMEM_HPP__
 #define __OPENCV_GPU_DYNAMIC_SMEM_HPP__
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template<class T> struct DynamicSharedMem
     {

modules/core/include/opencv2/core/cuda/emulation.hpp

@@ -46,7 +46,7 @@
 #include "common.hpp"
 #include "warp_reduce.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     struct Emulation
     {

modules/core/include/opencv2/core/cuda/filters.hpp

@@ -48,7 +48,7 @@
 #include "vec_math.hpp"
 #include "type_traits.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename Ptr2D> struct PointFilter
     {

modules/core/include/opencv2/core/cuda/funcattrib.hpp

@@ -45,7 +45,7 @@
 
 #include <cstdio>
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template<class Func>
     void printFuncAttrib(Func& func)

modules/core/include/opencv2/core/cuda/functional.hpp

@@ -49,7 +49,7 @@
 #include "type_traits.hpp"
 #include "device_functions.h"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     // Function Objects
     template<typename Argument, typename Result> struct unary_function : public std::unary_function<Argument, Result> {};

modules/core/include/opencv2/core/cuda/limits.hpp

@@ -47,7 +47,7 @@
 #include <float.h>
 #include "common.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
 
 template <class T> struct numeric_limits;

modules/core/include/opencv2/core/cuda/reduce.hpp

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

modules/core/include/opencv2/core/cuda/saturate_cast.hpp

@@ -45,7 +45,7 @@
 
 #include "common.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     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); }

modules/core/include/opencv2/core/cuda/scan.hpp

@@ -48,7 +48,7 @@
 #include "opencv2/core/cuda/warp.hpp"
 #include "opencv2/core/cuda/warp_shuffle.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     enum ScanKind { EXCLUSIVE = 0,  INCLUSIVE = 1 };
 
@@ -174,13 +174,13 @@ namespace cv { namespace cuda { namespace cudev
     __device__ T warpScanInclusive(T idata, volatile T* s_Data, unsigned int tid)
     {
     #if __CUDA_ARCH__ >= 300
-        const unsigned int laneId = cv::cuda::cudev::Warp::laneId();
+        const unsigned int laneId = cv::cuda::device::Warp::laneId();
 
         // scan on shuffl functions
         #pragma unroll
         for (int i = 1; i <= (OPENCV_GPU_WARP_SIZE / 2); i *= 2)
         {
-            const T n = cv::cuda::cudev::shfl_up(idata, i);
+            const T n = cv::cuda::device::shfl_up(idata, i);
             if (laneId >= i)
                   idata += n;
         }

modules/core/include/opencv2/core/cuda/simd_functions.hpp

@@ -123,7 +123,7 @@
   vmin4(a,b)      per-byte unsigned minimum: min(a, b)
 */
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     // 2
 

modules/core/include/opencv2/core/cuda/transform.hpp

@@ -47,7 +47,7 @@
 #include "utility.hpp"
 #include "detail/transform_detail.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     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)

modules/core/include/opencv2/core/cuda/type_traits.hpp

@@ -45,7 +45,7 @@
 
 #include "detail/type_traits_detail.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T> struct IsSimpleParameter
     {

modules/core/include/opencv2/core/cuda/utility.hpp

@@ -46,7 +46,7 @@
 #include "saturate_cast.hpp"
 #include "datamov_utils.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     #define OPENCV_GPU_LOG_WARP_SIZE        (5)
     #define OPENCV_GPU_WARP_SIZE            (1 << OPENCV_GPU_LOG_WARP_SIZE)

modules/core/include/opencv2/core/cuda/vec_distance.hpp

@@ -47,7 +47,7 @@
 #include "functional.hpp"
 #include "detail/vec_distance_detail.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T> struct L1Dist
     {

modules/core/include/opencv2/core/cuda/vec_math.hpp

@@ -46,7 +46,7 @@
 #include "vec_traits.hpp"
 #include "saturate_cast.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
 
 // saturate_cast

modules/core/include/opencv2/core/cuda/vec_traits.hpp

@@ -45,7 +45,7 @@
 
 #include "common.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template<typename T, int N> struct TypeVec;
 

modules/core/include/opencv2/core/cuda/warp.hpp

@@ -43,7 +43,7 @@
 #ifndef __OPENCV_GPU_DEVICE_WARP_HPP__
 #define __OPENCV_GPU_DEVICE_WARP_HPP__
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     struct Warp
     {

modules/core/include/opencv2/core/cuda/warp_reduce.hpp

@@ -43,7 +43,7 @@
 #ifndef OPENCV_GPU_WARP_REDUCE_HPP__
 #define OPENCV_GPU_WARP_REDUCE_HPP__
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <class T>
     __device__ __forceinline__ T warp_reduce(volatile T *ptr , const unsigned int tid = threadIdx.x)

modules/core/include/opencv2/core/cuda/warp_shuffle.hpp

@@ -43,7 +43,7 @@
 #ifndef __OPENCV_GPU_WARP_SHUFFLE_HPP__
 #define __OPENCV_GPU_WARP_SHUFFLE_HPP__
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T>
     __device__ __forceinline__ T shfl(T val, int srcLane, int width = warpSize)

modules/gpu/src/calib3d.cpp

@@ -55,7 +55,7 @@ void cv::cuda::solvePnPRansac(const Mat&, const Mat&, const Mat&, const Mat&, Ma
 
 #else
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace transform_points
     {
@@ -78,7 +78,7 @@ namespace cv { namespace cuda { namespace cudev
     }
 }}}
 
-using namespace ::cv::cuda::cudev;
+using namespace ::cv::cuda::device;
 
 namespace
 {

modules/gpu/src/cascadeclassifier.cpp

@@ -372,7 +372,7 @@ struct PyrLavel
     cv::Size sWindow;
 };
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace lbp
     {
@@ -473,7 +473,7 @@ public:
                 acc += level.sFrame.width + 1;
             }
 
-            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,
+            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,
                 leaves_mat, subsets_mat, features_mat, subsetSize, candidates, dclassified.ptr<unsigned int>(), integral);
         }
 
@@ -481,7 +481,7 @@ public:
             return 0;
 
         cudaSafeCall( cudaMemcpy(&classified, dclassified.ptr(), sizeof(int), cudaMemcpyDeviceToHost) );
-        cudev::lbp::connectedConmonents(candidates, classified, objects, groupThreshold, grouping_eps, dclassified.ptr<unsigned int>());
+        device::lbp::connectedConmonents(candidates, classified, objects, groupThreshold, grouping_eps, dclassified.ptr<unsigned int>());
 
         cudaSafeCall( cudaMemcpy(&classified, dclassified.ptr(), sizeof(int), cudaMemcpyDeviceToHost) );
         cudaSafeCall( cudaDeviceSynchronize() );

modules/gpu/src/cuda/calib3d.cu

@@ -47,7 +47,7 @@
 #include "opencv2/core/cuda/functional.hpp"
 #include "opencv2/core/cuda/reduce.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     #define SOLVE_PNP_RANSAC_MAX_NUM_ITERS 200
 
@@ -79,7 +79,7 @@ namespace cv { namespace cuda { namespace cudev
             cudaSafeCall(cudaMemcpyToSymbol(crot1, rot + 3, sizeof(float) * 3));
             cudaSafeCall(cudaMemcpyToSymbol(crot2, rot + 6, sizeof(float) * 3));
             cudaSafeCall(cudaMemcpyToSymbol(ctransl, transl, sizeof(float) * 3));
-            cv::cuda::cudev::transform(src, dst, TransformOp(), WithOutMask(), stream);
+            cv::cuda::device::transform(src, dst, TransformOp(), WithOutMask(), stream);
         }
     } // namespace transform_points
 
@@ -120,7 +120,7 @@ namespace cv { namespace cuda { namespace cudev
             cudaSafeCall(cudaMemcpyToSymbol(ctransl, transl, sizeof(float) * 3));
             cudaSafeCall(cudaMemcpyToSymbol(cproj0, proj, sizeof(float) * 3));
             cudaSafeCall(cudaMemcpyToSymbol(cproj1, proj + 3, sizeof(float) * 3));
-            cv::cuda::cudev::transform(src, dst, ProjectOp(), WithOutMask(), stream);
+            cv::cuda::device::transform(src, dst, ProjectOp(), WithOutMask(), stream);
         }
     } // namespace project_points
 

modules/gpu/src/cuda/ccomponetns.cu

@@ -50,7 +50,7 @@
 #include <iostream>
 #include <stdio.h>
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace ccl
     {

modules/gpu/src/cuda/global_motion.cu

@@ -47,7 +47,7 @@
 #include <thrust/functional.h>
 #include "opencv2/core/cuda/common.hpp"
 
-namespace cv { namespace cuda { namespace cudev { namespace globmotion {
+namespace cv { namespace cuda { namespace device { namespace globmotion {
 
 __constant__ float cml[9];
 __constant__ float cmr[9];

modules/gpu/src/cuda/hog.cu

@@ -47,7 +47,7 @@
 #include "opencv2/core/cuda/functional.hpp"
 #include "opencv2/core/cuda/warp_shuffle.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     // Other values are not supported
     #define CELL_WIDTH 8

modules/gpu/src/cuda/lbp.cu

@@ -46,7 +46,7 @@
 #include "opencv2/core/cuda/vec_traits.hpp"
 #include "opencv2/core/cuda/saturate_cast.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace lbp
     {

modules/gpu/src/cuda/lbp.hpp

@@ -46,7 +46,7 @@
 #include "opencv2/core/cuda/common.hpp"
 #include "opencv2/core/cuda/emulation.hpp"
 
-namespace cv { namespace cuda { namespace cudev {
+namespace cv { namespace cuda { namespace device {
 
 namespace lbp {
 

modules/gpu/src/global_motion.cpp

@@ -53,7 +53,7 @@ void cv::cuda::calcWobbleSuppressionMaps(
 
 #else
 
-namespace cv { namespace cuda { namespace cudev { namespace globmotion {
+namespace cv { namespace cuda { namespace device { namespace globmotion {
 
     int compactPoints(int N, float *points0, float *points1, const uchar *mask);
 
@@ -70,7 +70,7 @@ void cv::cuda::compactPoints(GpuMat &points0, GpuMat &points1, const GpuMat &mas
     CV_Assert(points0.cols == mask.cols && points1.cols == mask.cols);
 
     int npoints = points0.cols;
-    int remaining = cv::cuda::cudev::globmotion::compactPoints(
+    int remaining = cv::cuda::device::globmotion::compactPoints(
             npoints, (float*)points0.data, (float*)points1.data, mask.data);
 
     points0 = points0.colRange(0, remaining);
@@ -88,7 +88,7 @@ void cv::cuda::calcWobbleSuppressionMaps(
     mapx.create(size, CV_32F);
     mapy.create(size, CV_32F);
 
-    cv::cuda::cudev::globmotion::calcWobbleSuppressionMaps(
+    cv::cuda::device::globmotion::calcWobbleSuppressionMaps(
                 left, idx, right, size.width, size.height,
                 ml.ptr<float>(), mr.ptr<float>(), mapx, mapy);
 }

modules/gpu/src/graphcuts.cpp

@@ -52,7 +52,7 @@ void cv::cuda::labelComponents(const GpuMat&, GpuMat&, int, Stream&) { throw_no_
 
 #else /* !defined (HAVE_CUDA) */
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace ccl
     {
@@ -81,12 +81,12 @@ void cv::cuda::connectivityMask(const GpuMat& image, GpuMat& mask, const cv::Sca
 
     static const func_t suppotLookup[8][4] =
     {   //    1,    2,     3,     4
-        { cudev::ccl::computeEdges<uchar>,  0,  cudev::ccl::computeEdges<uchar3>,  cudev::ccl::computeEdges<uchar4>  },// CV_8U
+        { device::ccl::computeEdges<uchar>,  0,  device::ccl::computeEdges<uchar3>,  device::ccl::computeEdges<uchar4>  },// CV_8U
         { 0,                                 0,  0,                                  0                                  },// CV_16U
-        { cudev::ccl::computeEdges<ushort>, 0,  cudev::ccl::computeEdges<ushort3>, cudev::ccl::computeEdges<ushort4> },// CV_8S
+        { device::ccl::computeEdges<ushort>, 0,  device::ccl::computeEdges<ushort3>, device::ccl::computeEdges<ushort4> },// CV_8S
         { 0,                                 0,  0,                                  0                                  },// CV_16S
-        { cudev::ccl::computeEdges<int>,    0,  0,                                  0                                  },// CV_32S
+        { device::ccl::computeEdges<int>,    0,  0,                                  0                                  },// CV_32S
-        { cudev::ccl::computeEdges<float>,  0,  0,                                  0                                  },// CV_32F
+        { device::ccl::computeEdges<float>,  0,  0,                                  0                                  },// CV_32F
         { 0,                                 0,  0,                                  0                                  },// CV_64F
         { 0,                                 0,  0,                                  0                                  } // CV_USRTYPE1
     };
@@ -112,7 +112,7 @@ void cv::cuda::labelComponents(const GpuMat& mask, GpuMat& components, int flags
     components.create(mask.size(), CV_32SC1);
 
     cudaStream_t stream = StreamAccessor::getStream(s);
-    cudev::ccl::labelComponents(mask, components, flags, stream);
+    device::ccl::labelComponents(mask, components, flags, stream);
 }
 
 namespace

modules/gpu/src/hog.cpp

@@ -62,7 +62,7 @@ void cv::cuda::HOGDescriptor::computeConfidenceMultiScale(const GpuMat&, std::ve
 
 #else
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace hog
     {
@@ -102,7 +102,7 @@ namespace cv { namespace cuda { namespace cudev
     }
 }}}
 
-using namespace ::cv::cuda::cudev;
+using namespace ::cv::cuda::device;
 
 cv::cuda::HOGDescriptor::HOGDescriptor(Size win_size_, Size block_size_, Size block_stride_, Size cell_size_,
                                       int nbins_, double win_sigma_, double threshold_L2hys_, bool gamma_correction_, int nlevels_)

modules/gpuarithm/src/arithm.cpp

@@ -297,7 +297,7 @@ void cv::cuda::gemm(InputArray _src1, InputArray _src2, double alpha, InputArray
 
 #ifdef HAVE_CUFFT
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     void mulSpectrums(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, PtrStepSz<cufftComplex> c, cudaStream_t stream);
 
@@ -320,7 +320,7 @@ void cv::cuda::mulSpectrums(InputArray _src1, InputArray _src2, OutputArray _dst
     (void) flags;
 
     typedef void (*Caller)(const PtrStep<cufftComplex>, const PtrStep<cufftComplex>, PtrStepSz<cufftComplex>, cudaStream_t stream);
-    static Caller callers[] = { cudev::mulSpectrums, cudev::mulSpectrums_CONJ };
+    static Caller callers[] = { device::mulSpectrums, device::mulSpectrums_CONJ };
 
     GpuMat src1 = _src1.getGpuMat();
     GpuMat src2 = _src2.getGpuMat();
@@ -341,7 +341,7 @@ void cv::cuda::mulSpectrums(InputArray _src1, InputArray _src2, OutputArray _dst
 
 #ifdef HAVE_CUFFT
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     void mulAndScaleSpectrums(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, float scale, PtrStepSz<cufftComplex> c, cudaStream_t stream);
 
@@ -365,7 +365,7 @@ void cv::cuda::mulAndScaleSpectrums(InputArray _src1, InputArray _src2, OutputAr
     (void)flags;
 
     typedef void (*Caller)(const PtrStep<cufftComplex>, const PtrStep<cufftComplex>, float scale, PtrStepSz<cufftComplex>, cudaStream_t stream);
-    static Caller callers[] = { cudev::mulAndScaleSpectrums, cudev::mulAndScaleSpectrums_CONJ };
+    static Caller callers[] = { device::mulAndScaleSpectrums, device::mulAndScaleSpectrums_CONJ };
 
     GpuMat src1 = _src1.getGpuMat();
     GpuMat src2 = _src2.getGpuMat();

modules/gpuarithm/src/core.cpp

@@ -66,7 +66,7 @@ void cv::cuda::copyMakeBorder(InputArray, OutputArray, int, int, int, int, int,
 ////////////////////////////////////////////////////////////////////////
 // merge/split
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace split_merge
     {
@@ -112,7 +112,7 @@ namespace
                 src_as_devmem[i] = src[i];
 
             PtrStepSzb dst_as_devmem(dst);
-            cv::cuda::cudev::split_merge::merge(src_as_devmem, dst_as_devmem, (int)n, CV_ELEM_SIZE(depth), StreamAccessor::getStream(stream));
+            cv::cuda::device::split_merge::merge(src_as_devmem, dst_as_devmem, (int)n, CV_ELEM_SIZE(depth), StreamAccessor::getStream(stream));
         }
     }
 
@@ -145,7 +145,7 @@ namespace
             dst_as_devmem[i] = dst[i];
 
         PtrStepSzb src_as_devmem(src);
-        cv::cuda::cudev::split_merge::split(src_as_devmem, dst_as_devmem, num_channels, src.elemSize1(), StreamAccessor::getStream(stream));
+        cv::cuda::device::split_merge::split(src_as_devmem, dst_as_devmem, num_channels, src.elemSize1(), StreamAccessor::getStream(stream));
     }
 }
 
@@ -503,7 +503,7 @@ Ptr<LookUpTable> cv::cuda::createLookUpTable(InputArray lut)
 ////////////////////////////////////////////////////////////////////////
 // copyMakeBorder
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace imgproc
     {
@@ -515,7 +515,7 @@ namespace
 {
     template <typename T, int cn> void copyMakeBorder_caller(const PtrStepSzb& src, const PtrStepSzb& dst, int top, int left, int borderType, const Scalar& value, cudaStream_t stream)
     {
-        using namespace ::cv::cuda::cudev::imgproc;
+        using namespace ::cv::cuda::device::imgproc;
 
         Scalar_<T> val(saturate_cast<T>(value[0]), saturate_cast<T>(value[1]), saturate_cast<T>(value[2]), saturate_cast<T>(value[3]));
 

modules/gpuarithm/src/cuda/absdiff_mat.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -102,7 +102,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <> struct TransformFunctorTraits< arithm::VAbsDiff4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
     {
@@ -121,18 +121,18 @@ namespace arithm
 {
     void absDiffMat_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VAbsDiff4(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, VAbsDiff4(), WithOutMask(), stream);
     }
 
     void absDiffMat_v2(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VAbsDiff2(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, VAbsDiff2(), WithOutMask(), stream);
     }
 
     template <typename T>
     void absDiffMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, AbsDiffMat<T>(), WithOutMask(), stream);
+        device::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);

modules/gpuarithm/src/cuda/absdiff_scalar.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -69,7 +69,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T, typename S> struct TransformFunctorTraits< arithm::AbsDiffScalar<T, S> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
     {
@@ -83,7 +83,7 @@ namespace arithm
     {
         AbsDiffScalar<T, S> op(static_cast<S>(val));
 
-        cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, op, WithOutMask(), stream);
+        device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, op, WithOutMask(), stream);
     }
 
     template void absDiffScalar<uchar, float>(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);

modules/gpuarithm/src/cuda/add_mat.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -89,7 +89,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <> struct TransformFunctorTraits< arithm::VAdd4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
     {
@@ -108,21 +108,21 @@ namespace arithm
 {
     void addMat_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VAdd4(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, VAdd4(), WithOutMask(), stream);
     }
 
     void addMat_v2(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VAdd2(), WithOutMask(), stream);
+        device::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)
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, AddMat<T, D>(), mask, stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, AddMat<T, D>(), mask, stream);
         else
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, AddMat<T, D>(), WithOutMask(), stream);
+            device::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);

modules/gpuarithm/src/cuda/add_scalar.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -68,7 +68,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T, typename S, typename D> struct TransformFunctorTraits< arithm::AddScalar<T, S, D> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(D)>
     {
@@ -83,9 +83,9 @@ namespace arithm
         AddScalar<T, S, D> op(static_cast<S>(val));
 
         if (mask.data)
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, mask, stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, mask, stream);
         else
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
+            device::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);

modules/gpuarithm/src/cuda/add_weighted.cu

@@ -50,7 +50,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -100,7 +100,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     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> >
     {
@@ -121,7 +121,7 @@ namespace arithm
     {
         AddWeighted<T1, T2, D> op(alpha, beta, gamma);
 
-        cudev::transform((PtrStepSz<T1>) src1, (PtrStepSz<T2>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
+        device::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);

modules/gpuarithm/src/cuda/bitwise_mat.cu

@@ -51,9 +51,9 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T> struct TransformFunctorTraits< bit_not<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
     {
@@ -77,33 +77,33 @@ namespace arithm
     template <typename T> void bitMatNot(PtrStepSzb src, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream)
     {
         if (mask.data)
-            cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, bit_not<T>(), mask, stream);
+            device::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, bit_not<T>(), mask, stream);
         else
-            cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, bit_not<T>(), WithOutMask(), stream);
+            device::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)
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_and<T>(), mask, stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_and<T>(), mask, stream);
         else
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_and<T>(), WithOutMask(), stream);
+            device::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)
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_or<T>(), mask, stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_or<T>(), mask, stream);
         else
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_or<T>(), WithOutMask(), stream);
+            device::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)
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_xor<T>(), mask, stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_xor<T>(), mask, stream);
         else
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, bit_xor<T>(), WithOutMask(), stream);
+            device::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);

modules/gpuarithm/src/cuda/bitwise_scalar.cu

@@ -51,9 +51,9 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T> struct TransformFunctorTraits< binder2nd< bit_and<T> > > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
     {
@@ -72,17 +72,17 @@ namespace arithm
 {
     template <typename T> void bitScalarAnd(PtrStepSzb src1, uint src2, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::cuda::cudev::bind2nd(bit_and<T>(), src2), WithOutMask(), stream);
+        device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::cuda::device::bind2nd(bit_and<T>(), src2), WithOutMask(), stream);
     }
 
     template <typename T> void bitScalarOr(PtrStepSzb src1, uint src2, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::cuda::cudev::bind2nd(bit_or<T>(), src2), WithOutMask(), stream);
+        device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::cuda::device::bind2nd(bit_or<T>(), src2), WithOutMask(), stream);
     }
 
     template <typename T> void bitScalarXor(PtrStepSzb src1, uint src2, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::cuda::cudev::bind2nd(bit_xor<T>(), src2), WithOutMask(), stream);
+        device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::cuda::device::bind2nd(bit_xor<T>(), src2), WithOutMask(), stream);
     }
 
     template void bitScalarAnd<uchar>(PtrStepSzb src1, uint src2, PtrStepSzb dst, cudaStream_t stream);

modules/gpuarithm/src/cuda/cmp_mat.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -107,7 +107,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <> struct TransformFunctorTraits< arithm::VCmpEq4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
     {
@@ -131,26 +131,26 @@ namespace arithm
 {
     void cmpMatEq_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VCmpEq4(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, VCmpEq4(), WithOutMask(), stream);
     }
     void cmpMatNe_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VCmpNe4(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, VCmpNe4(), WithOutMask(), stream);
     }
     void cmpMatLt_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VCmpLt4(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, VCmpLt4(), WithOutMask(), stream);
     }
     void cmpMatLe_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VCmpLe4(), WithOutMask(), stream);
+        device::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;
-        cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, dst, op, WithOutMask(), stream);
+        device::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)

modules/gpuarithm/src/cuda/cmp_scalar.cu

@@ -52,7 +52,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -125,7 +125,7 @@ namespace arithm
 #undef TYPE_VEC
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <class Op, typename T> struct TransformFunctorTraits< arithm::CmpScalar<Op, T, 1> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(uchar)>
     {
@@ -144,7 +144,7 @@ namespace arithm
         src_t val1 = VecTraits<src_t>::make(sval);
 
         CmpScalar<Op<T>, T, cn> op(val1);
-        cudev::transform((PtrStepSz<src_t>) src, (PtrStepSz<dst_t>) dst, op, WithOutMask(), stream);
+        device::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)

modules/gpuarithm/src/cuda/copy_make_border.cu

@@ -45,7 +45,7 @@
 #include "opencv2/core/cuda/common.hpp"
 #include "opencv2/core/cuda/border_interpolate.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace imgproc
     {

modules/gpuarithm/src/cuda/countnonzero.cu

@@ -50,7 +50,7 @@
 #include "opencv2/core/cuda/emulation.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace countNonZero
 {
@@ -80,7 +80,7 @@ namespace countNonZero
             }
         }
 
-        cudev::reduce<BLOCK_SIZE>(scount, mycount, tid, plus<unsigned int>());
+        device::reduce<BLOCK_SIZE>(scount, mycount, tid, plus<unsigned int>());
 
     #if __CUDA_ARCH__ >= 200
         if (tid == 0)
@@ -105,7 +105,7 @@ namespace countNonZero
         {
             mycount = tid < gridDim.x * gridDim.y ? count[tid] : 0;
 
-            cudev::reduce<BLOCK_SIZE>(scount, mycount, tid, plus<unsigned int>());
+            device::reduce<BLOCK_SIZE>(scount, mycount, tid, plus<unsigned int>());
 
             if (tid == 0)
             {

modules/gpuarithm/src/cuda/div_mat.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -128,7 +128,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <> struct TransformFunctorTraits<arithm::Div_8uc4_32f> : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
     {
@@ -147,12 +147,12 @@ namespace arithm
 {
     void divMat_8uc4_32f(PtrStepSz<uint> src1, PtrStepSzf src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, Div_8uc4_32f(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, Div_8uc4_32f(), WithOutMask(), stream);
     }
 
     void divMat_16sc4_32f(PtrStepSz<short4> src1, PtrStepSzf src2, PtrStepSz<short4> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, Div_16sc4_32f(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, Div_16sc4_32f(), WithOutMask(), stream);
     }
 
     template <typename T, typename S, typename D>
@@ -161,12 +161,12 @@ namespace arithm
         if (scale == 1)
         {
             Div<T, D> op;
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
         }
         else
         {
             DivScale<T, S, D> op(static_cast<S>(scale));
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
         }
     }
 

modules/gpuarithm/src/cuda/div_scalar.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -80,7 +80,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T, typename S, typename D> struct TransformFunctorTraits< arithm::DivScalar<T, S, D> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(D)>
     {
@@ -99,12 +99,12 @@ namespace arithm
         if (inv)
         {
             DivScalarInv<T, S, D> op(static_cast<S>(val));
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
         }
         else
         {
             DivScalar<T, S, D> op(static_cast<S>(val));
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
         }
     }
 

modules/gpuarithm/src/cuda/integral.cu

@@ -44,7 +44,7 @@
 
 #include "opencv2/core/cuda/common.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace imgproc
     {

modules/gpuarithm/src/cuda/math.cu

@@ -53,12 +53,12 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 //////////////////////////////////////////////////////////////////////////
 // absMat
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T> struct TransformFunctorTraits< abs_func<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
     {
@@ -70,7 +70,7 @@ namespace arithm
     template <typename T>
     void absMat(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, abs_func<T>(), WithOutMask(), stream);
+        device::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, abs_func<T>(), WithOutMask(), stream);
     }
 
     template void absMat<uchar>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
@@ -99,7 +99,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T> struct TransformFunctorTraits< arithm::Sqr<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
     {
@@ -111,7 +111,7 @@ namespace arithm
     template <typename T>
     void sqrMat(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, Sqr<T>(), WithOutMask(), stream);
+        device::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, Sqr<T>(), WithOutMask(), stream);
     }
 
     template void sqrMat<uchar>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
@@ -126,7 +126,7 @@ namespace arithm
 //////////////////////////////////////////////////////////////////////////
 // sqrtMat
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T> struct TransformFunctorTraits< sqrt_func<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
     {
@@ -138,7 +138,7 @@ namespace arithm
     template <typename T>
     void sqrtMat(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, sqrt_func<T>(), WithOutMask(), stream);
+        device::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, sqrt_func<T>(), WithOutMask(), stream);
     }
 
     template void sqrtMat<uchar>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
@@ -153,7 +153,7 @@ namespace arithm
 //////////////////////////////////////////////////////////////////////////
 // logMat
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T> struct TransformFunctorTraits< log_func<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
     {
@@ -165,7 +165,7 @@ namespace arithm
     template <typename T>
     void logMat(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, log_func<T>(), WithOutMask(), stream);
+        device::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, log_func<T>(), WithOutMask(), stream);
     }
 
     template void logMat<uchar>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
@@ -195,7 +195,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T> struct TransformFunctorTraits< arithm::Exp<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
     {
@@ -207,7 +207,7 @@ namespace arithm
     template <typename T>
     void expMat(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, Exp<T>(), WithOutMask(), stream);
+        device::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, Exp<T>(), WithOutMask(), stream);
     }
 
     template void expMat<uchar>(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
@@ -275,7 +275,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T> struct TransformFunctorTraits< arithm::PowOp<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
     {
@@ -287,7 +287,7 @@ namespace arithm
     template<typename T>
     void pow(PtrStepSzb src, double power, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src, (PtrStepSz<T>) dst, PowOp<T>(power), WithOutMask(), stream);
+        device::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);

modules/gpuarithm/src/cuda/minmax.cu

@@ -52,7 +52,7 @@
 #include "opencv2/core/cuda/utility.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace minMax
 {
@@ -105,7 +105,7 @@ namespace minMax
 
                 const minimum<R> minOp;
                 const maximum<R> maxOp;
-                cudev::reduce<BLOCK_SIZE>(smem_tuple(sminval, smaxval), thrust::tie(mymin, mymax), tid, thrust::make_tuple(minOp, maxOp));
+                device::reduce<BLOCK_SIZE>(smem_tuple(sminval, smaxval), thrust::tie(mymin, mymax), tid, thrust::make_tuple(minOp, maxOp));
 
                 if (tid == 0)
                 {
@@ -153,7 +153,7 @@ namespace minMax
             }
         }
 
-        cudev::reduce<BLOCK_SIZE>(smem_tuple(sminval, smaxval), thrust::tie(mymin, mymax), tid, thrust::make_tuple(minOp, maxOp));
+        device::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);
     }

modules/gpuarithm/src/cuda/minmax_mat.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 //////////////////////////////////////////////////////////////////////////
 // min
@@ -81,7 +81,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <> struct TransformFunctorTraits< arithm::VMin4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
     {
@@ -104,17 +104,17 @@ namespace arithm
 {
     void minMat_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VMin4(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, VMin4(), WithOutMask(), stream);
     }
 
     void minMat_v2(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VMin2(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, VMin2(), WithOutMask(), stream);
     }
 
     template <typename T> void minMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, minimum<T>(), WithOutMask(), stream);
+        device::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);
@@ -127,7 +127,7 @@ namespace arithm
 
     template <typename T> void minScalar(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::cuda::cudev::bind2nd(minimum<T>(), src2), WithOutMask(), stream);
+        device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::cuda::device::bind2nd(minimum<T>(), src2), WithOutMask(), stream);
     }
 
     template void minScalar<uchar >(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
@@ -167,7 +167,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <> struct TransformFunctorTraits< arithm::VMax4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
     {
@@ -190,17 +190,17 @@ namespace arithm
 {
     void maxMat_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VMax4(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, VMax4(), WithOutMask(), stream);
     }
 
     void maxMat_v2(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VMax2(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, VMax2(), WithOutMask(), stream);
     }
 
     template <typename T> void maxMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<T>) dst, maximum<T>(), WithOutMask(), stream);
+        device::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);
@@ -213,7 +213,7 @@ namespace arithm
 
     template <typename T> void maxScalar(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream)
     {
-        cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::cuda::cudev::bind2nd(maximum<T>(), src2), WithOutMask(), stream);
+        device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, cv::cuda::device::bind2nd(maximum<T>(), src2), WithOutMask(), stream);
     }
 
     template void maxScalar<uchar >(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);

modules/gpuarithm/src/cuda/minmaxloc.cu

@@ -52,7 +52,7 @@
 #include "opencv2/core/cuda/utility.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace minMaxLoc
 {

modules/gpuarithm/src/cuda/mul_mat.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -109,7 +109,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <> struct TransformFunctorTraits<arithm::Mul_8uc4_32f> : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
     {
@@ -128,12 +128,12 @@ namespace arithm
 {
     void mulMat_8uc4_32f(PtrStepSz<uint> src1, PtrStepSzf src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, Mul_8uc4_32f(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, Mul_8uc4_32f(), WithOutMask(), stream);
     }
 
     void mulMat_16sc4_32f(PtrStepSz<short4> src1, PtrStepSzf src2, PtrStepSz<short4> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, Mul_16sc4_32f(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, Mul_16sc4_32f(), WithOutMask(), stream);
     }
 
     template <typename T, typename S, typename D>
@@ -142,12 +142,12 @@ namespace arithm
         if (scale == 1)
         {
             Mul<T, D> op;
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
         }
         else
         {
             MulScale<T, S, D> op(static_cast<S>(scale));
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
         }
     }
 

modules/gpuarithm/src/cuda/mul_scalar.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -68,7 +68,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T, typename S, typename D> struct TransformFunctorTraits< arithm::MulScalar<T, S, D> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(D)>
     {
@@ -81,7 +81,7 @@ namespace arithm
     void mulScalar(PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream)
     {
         MulScalar<T, S, D> op(static_cast<S>(val));
-        cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
+        device::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);

modules/gpuarithm/src/cuda/mul_spectrums.cu

@@ -50,7 +50,7 @@
 
 #include "opencv2/core/cuda/common.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     //////////////////////////////////////////////////////////////////////////
     // mulSpectrums

modules/gpuarithm/src/cuda/polar_cart.cu

@@ -44,7 +44,7 @@
 
 #include "opencv2/core/cuda/common.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace mathfunc
     {

modules/gpuarithm/src/cuda/reduce.cu

@@ -53,7 +53,7 @@
 #include "unroll_detail.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace reduce
 {
@@ -191,7 +191,7 @@ namespace reduce
         volatile S* srow = smem + threadIdx.y * 16;
 
         myVal = srow[threadIdx.x];
-        cudev::reduce<16>(srow, myVal, threadIdx.x, op);
+        device::reduce<16>(srow, myVal, threadIdx.x, op);
 
         if (threadIdx.x == 0)
             srow[0] = myVal;
@@ -275,7 +275,7 @@ namespace reduce
         for (int x = threadIdx.x; x < src.cols; x += BLOCK_SIZE)
             myVal = op(myVal, saturate_cast<work_type>(srcRow[x]));
 
-        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));
+        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));
 
         if (threadIdx.x == 0)
             dst[y] = saturate_cast<dst_type>(op.result(myVal, src.cols));

modules/gpuarithm/src/cuda/split_merge.cu

@@ -44,7 +44,7 @@
 
 #include "opencv2/core/cuda/common.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace split_merge
     {

modules/gpuarithm/src/cuda/sub_mat.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -89,7 +89,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <> struct TransformFunctorTraits< arithm::VSub4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
     {
@@ -108,21 +108,21 @@ namespace arithm
 {
     void subMat_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VSub4(), WithOutMask(), stream);
+        device::transform(src1, src2, dst, VSub4(), WithOutMask(), stream);
     }
 
     void subMat_v2(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
     {
-        cudev::transform(src1, src2, dst, VSub2(), WithOutMask(), stream);
+        device::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)
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, SubMat<T, D>(), mask, stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, SubMat<T, D>(), mask, stream);
         else
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, (PtrStepSz<D>) dst, SubMat<T, D>(), WithOutMask(), stream);
+            device::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);

modules/gpuarithm/src/cuda/sub_scalar.cu

@@ -51,7 +51,7 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {
@@ -69,7 +69,7 @@ namespace arithm
     };
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T, typename S, typename D> struct TransformFunctorTraits< arithm::SubScalar<T, S, D> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(D)>
     {
@@ -84,9 +84,9 @@ namespace arithm
         SubScalar<T, S, D> op(static_cast<S>(val), inv ? -1 : 1);
 
         if (mask.data)
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, mask, stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, mask, stream);
         else
-            cudev::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
+            device::transform((PtrStepSz<T>) src1, (PtrStepSz<D>) dst, op, WithOutMask(), stream);
     }
 
     template void subScalar<uchar, float, uchar>(PtrStepSzb src1, double val, bool inv, PtrStepSzb dst, PtrStepb mask, cudaStream_t stream);

modules/gpuarithm/src/cuda/sum.cu

@@ -53,7 +53,7 @@
 #include "unroll_detail.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace sum
 {
@@ -130,7 +130,7 @@ namespace sum
             {
                 sum = tid < gridDim.x * gridDim.y ? result[tid] : VecTraits<result_type>::all(0);
 
-                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>()));
+                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>()));
 
                 if (tid == 0)
                 {
@@ -173,7 +173,7 @@ namespace sum
             }
         }
 
-        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>()));
+        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>()));
 
         GlobalReduce<BLOCK_SIZE, R, cn>::run(sum, result, tid, bid, smem);
     }

modules/gpuarithm/src/cuda/threshold.cu

@@ -51,9 +51,9 @@
 #include "arithm_func_traits.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T> struct TransformFunctorTraits< thresh_binary_func<T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
     {
@@ -82,7 +82,7 @@ namespace arithm
     void threshold_caller(PtrStepSz<T> src, PtrStepSz<T> dst, T thresh, T maxVal, cudaStream_t stream)
     {
         Op<T> op(thresh, maxVal);
-        cudev::transform(src, dst, op, WithOutMask(), stream);
+        device::transform(src, dst, op, WithOutMask(), stream);
     }
 
     template <typename T>

modules/gpuarithm/src/cuda/transpose.cu

@@ -45,7 +45,7 @@
 #include "opencv2/core/cuda/common.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace arithm
 {

modules/gpuarithm/src/cuda/unroll_detail.hpp

@@ -75,11 +75,11 @@ namespace detail
         template <int BLOCK_SIZE, typename R>
         static __device__ __forceinline__ thrust::tuple<volatile R*, volatile R*> smem_tuple(R* smem)
         {
-            return cv::cuda::cudev::smem_tuple(smem, smem + BLOCK_SIZE);
+            return cv::cuda::device::smem_tuple(smem, smem + BLOCK_SIZE);
         }
 
         template <typename R>
-        static __device__ __forceinline__ thrust::tuple<typename cv::cuda::cudev::VecTraits<R>::elem_type&, typename cv::cuda::cudev::VecTraits<R>::elem_type&> tie(R& val)
+        static __device__ __forceinline__ thrust::tuple<typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&> tie(R& val)
         {
             return thrust::tie(val.x, val.y);
         }
@@ -95,11 +95,11 @@ 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::cuda::cudev::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE);
+            return cv::cuda::device::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE);
         }
 
         template <typename R>
-        static __device__ __forceinline__ thrust::tuple<typename cv::cuda::cudev::VecTraits<R>::elem_type&, typename cv::cuda::cudev::VecTraits<R>::elem_type&, typename cv::cuda::cudev::VecTraits<R>::elem_type&> tie(R& val)
+        static __device__ __forceinline__ thrust::tuple<typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&> tie(R& val)
         {
             return thrust::tie(val.x, val.y, val.z);
         }
@@ -115,11 +115,11 @@ 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::cuda::cudev::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE, smem + 3 * BLOCK_SIZE);
+            return cv::cuda::device::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE, smem + 3 * BLOCK_SIZE);
         }
 
         template <typename R>
-        static __device__ __forceinline__ thrust::tuple<typename cv::cuda::cudev::VecTraits<R>::elem_type&, typename cv::cuda::cudev::VecTraits<R>::elem_type&, typename cv::cuda::cudev::VecTraits<R>::elem_type&, typename cv::cuda::cudev::VecTraits<R>::elem_type&> tie(R& val)
+        static __device__ __forceinline__ thrust::tuple<typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&> tie(R& val)
         {
             return thrust::tie(val.x, val.y, val.z, val.w);
         }

modules/gpuarithm/src/element_operations.cpp

@@ -3041,7 +3041,7 @@ void cv::cuda::magnitudeSqr(InputArray _src, OutputArray _dst, Stream& stream)
 ////////////////////////////////////////////////////////////////////////
 // Polar <-> Cart
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace mathfunc
     {
@@ -3054,7 +3054,7 @@ namespace
 {
     void cartToPolar_caller(const GpuMat& x, const GpuMat& y, GpuMat* mag, bool magSqr, GpuMat* angle, bool angleInDegrees, cudaStream_t stream)
     {
-        using namespace ::cv::cuda::cudev::mathfunc;
+        using namespace ::cv::cuda::device::mathfunc;
 
         CV_Assert(x.size() == y.size() && x.type() == y.type());
         CV_Assert(x.depth() == CV_32F);
@@ -3069,7 +3069,7 @@ namespace
 
     void polarToCart_caller(const GpuMat& mag, const GpuMat& angle, GpuMat& x, GpuMat& y, bool angleInDegrees, cudaStream_t stream)
     {
-        using namespace ::cv::cuda::cudev::mathfunc;
+        using namespace ::cv::cuda::device::mathfunc;
 
         CV_Assert((mag.empty() || mag.size() == angle.size()) && mag.type() == angle.type());
         CV_Assert(mag.depth() == CV_32F);

modules/gpuarithm/src/reductions.cpp

@@ -751,7 +751,7 @@ void cv::cuda::normalize(InputArray _src, OutputArray dst, double a, double b, i
 ////////////////////////////////////////////////////////////////////////
 // integral
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace imgproc
     {
@@ -776,7 +776,7 @@ void cv::cuda::integral(InputArray _src, OutputArray _dst, GpuMat& buffer, Strea
     {
         ensureSizeIsEnough(((src.rows + 7) / 8) * 8, ((src.cols + 63) / 64) * 64, CV_32SC1, buffer);
 
-        cv::cuda::cudev::imgproc::shfl_integral_gpu(src, buffer, stream);
+        cv::cuda::device::imgproc::shfl_integral_gpu(src, buffer, stream);
 
         _dst.create(src.rows + 1, src.cols + 1, CV_32SC1);
         GpuMat dst = _dst.getGpuMat();

modules/gpubgsegm/src/cuda/fgd.cu

@@ -51,7 +51,7 @@
 #include "fgd.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace fgd
 {

modules/gpubgsegm/src/cuda/gmg.cu

@@ -46,7 +46,7 @@
 #include "opencv2/core/cuda/vec_traits.hpp"
 #include "opencv2/core/cuda/limits.hpp"
 
-namespace cv { namespace cuda { namespace cudev {
+namespace cv { namespace cuda { namespace device {
     namespace gmg
     {
         __constant__ int   c_width;

modules/gpubgsegm/src/cuda/mog.cu

@@ -47,7 +47,7 @@
 #include "opencv2/core/cuda/vec_math.hpp"
 #include "opencv2/core/cuda/limits.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace mog
     {

modules/gpubgsegm/src/cuda/mog2.cu

@@ -47,7 +47,7 @@
 #include "opencv2/core/cuda/vec_math.hpp"
 #include "opencv2/core/cuda/limits.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace mog2
     {

modules/gpubgsegm/src/gmg.cpp

@@ -51,7 +51,7 @@ Ptr<cuda::BackgroundSubtractorGMG> cv::cuda::createBackgroundSubtractorGMG(int,
 
 #else
 
-namespace cv { namespace cuda { namespace cudev {
+namespace cv { namespace cuda { namespace device {
     namespace gmg
     {
         void loadConstants(int width, int height, float minVal, float maxVal, int quantizationLevels, float backgroundPrior,
@@ -167,7 +167,7 @@ namespace
 
     void GMGImpl::apply(InputArray _frame, OutputArray _fgmask, double newLearningRate, Stream& stream)
     {
-        using namespace cv::cuda::cudev::gmg;
+        using namespace cv::cuda::device::gmg;
 
         typedef void (*func_t)(PtrStepSzb frame, PtrStepb fgmask, PtrStepSzi colors, PtrStepf weights, PtrStepi nfeatures,
                                int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream);
@@ -237,7 +237,7 @@ namespace
 
     void GMGImpl::initialize(Size frameSize, float min, float max)
     {
-        using namespace cv::cuda::cudev::gmg;
+        using namespace cv::cuda::device::gmg;
 
         CV_Assert( maxFeatures_ > 0 );
         CV_Assert( learningRate_ >= 0.0f && learningRate_ <= 1.0f);

modules/gpubgsegm/src/mog.cpp

@@ -51,7 +51,7 @@ Ptr<cuda::BackgroundSubtractorMOG> cv::cuda::createBackgroundSubtractorMOG(int,
 
 #else
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace mog
     {
@@ -133,7 +133,7 @@ namespace
 
     void MOGImpl::apply(InputArray _frame, OutputArray _fgmask, double learningRate, Stream& stream)
     {
-        using namespace cv::cuda::cudev::mog;
+        using namespace cv::cuda::device::mog;
 
         GpuMat frame = _frame.getGpuMat();
 
@@ -164,7 +164,7 @@ namespace
 
     void MOGImpl::getBackgroundImage(OutputArray _backgroundImage, Stream& stream) const
     {
-        using namespace cv::cuda::cudev::mog;
+        using namespace cv::cuda::device::mog;
 
         _backgroundImage.create(frameSize_, frameType_);
         GpuMat backgroundImage = _backgroundImage.getGpuMat();

modules/gpubgsegm/src/mog2.cpp

@@ -51,7 +51,7 @@ Ptr<cuda::BackgroundSubtractorMOG2> cv::cuda::createBackgroundSubtractorMOG2(int
 
 #else
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace mog2
     {
@@ -178,7 +178,7 @@ namespace
 
     void MOG2Impl::apply(InputArray _frame, OutputArray _fgmask, double learningRate, Stream& stream)
     {
-        using namespace cv::cuda::cudev::mog2;
+        using namespace cv::cuda::device::mog2;
 
         GpuMat frame = _frame.getGpuMat();
 
@@ -208,7 +208,7 @@ namespace
 
     void MOG2Impl::getBackgroundImage(OutputArray _backgroundImage, Stream& stream) const
     {
-        using namespace cv::cuda::cudev::mog2;
+        using namespace cv::cuda::device::mog2;
 
         _backgroundImage.create(frameSize_, frameType_);
         GpuMat backgroundImage = _backgroundImage.getGpuMat();
@@ -218,7 +218,7 @@ namespace
 
     void MOG2Impl::initialize(cv::Size frameSize, int frameType)
     {
-        using namespace cv::cuda::cudev::mog2;
+        using namespace cv::cuda::device::mog2;
 
         CV_Assert( frameType == CV_8UC1 || frameType == CV_8UC3 || frameType == CV_8UC4 );
 

modules/gpucodec/src/cuda/nv12_to_rgb.cu

@@ -49,7 +49,7 @@
 
 #include "opencv2/core/cuda/common.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     __constant__ float constHueColorSpaceMat[9] = {1.1644f, 0.0f, 1.596f, 1.1644f, -0.3918f, -0.813f, 1.1644f, 2.0172f, 0.0f};
 

modules/gpucodec/src/cuda/rgb_to_yv12.cu

@@ -43,7 +43,7 @@
 #include "opencv2/core/cuda/common.hpp"
 #include "opencv2/core/cuda/vec_traits.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     __device__ __forceinline__ void rgb_to_y(const uchar b, const uchar g, const uchar r, uchar& y)
     {

modules/gpucodec/src/video_reader.cpp

@@ -53,7 +53,7 @@ Ptr<VideoReader> cv::gpucodec::createVideoReader(const Ptr<RawVideoSource>&) { t
 
 #else // HAVE_NVCUVID
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     void NV12_to_RGB(const PtrStepb decodedFrame, PtrStepSz<uint> interopFrame, cudaStream_t stream = 0);
 }}}
@@ -125,7 +125,7 @@ namespace
 
     void cudaPostProcessFrame(const GpuMat& decodedFrame, OutputArray _outFrame, int width, int height)
     {
-        using namespace cv::cuda::cudev;
+        using namespace cv::cuda::device;
 
         // Final Stage: NV12toARGB color space conversion
 

modules/gpucodec/src/video_writer.cpp

@@ -62,7 +62,7 @@ Ptr<VideoWriter> cv::gpucodec::createVideoWriter(const Ptr<EncoderCallBack>&, Si
 
 #else // !defined HAVE_CUDA || !defined WIN32
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     void RGB_to_YV12(const PtrStepSzb src, int cn, PtrStepSzb dst, cudaStream_t stream = 0);
 }}}
@@ -642,7 +642,7 @@ namespace
 
         if (inputFormat_ == SF_BGR)
         {
-            cudev::RGB_to_YV12(frame, frame.channels(), videoFrame_);
+            device::RGB_to_YV12(frame, frame.channels(), videoFrame_);
         }
         else
         {

modules/gpufeatures2d/src/brute_force_matcher.cpp

@@ -81,7 +81,7 @@ void cv::cuda::BFMatcher_GPU::radiusMatch(const GpuMat&, std::vector< std::vecto
 
 #else /* !defined (HAVE_CUDA) */
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace bf_match
     {
@@ -197,7 +197,7 @@ void cv::cuda::BFMatcher_GPU::matchSingle(const GpuMat& query, const GpuMat& tra
     if (query.empty() || train.empty())
         return;
 
-    using namespace cv::cuda::cudev::bf_match;
+    using namespace cv::cuda::device::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::cuda::BFMatcher_GPU::matchCollection(const GpuMat& query, const GpuMat&
     if (query.empty() || trainCollection.empty())
         return;
 
-    using namespace cv::cuda::cudev::bf_match;
+    using namespace cv::cuda::device::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::cuda::BFMatcher_GPU::knnMatchSingle(const GpuMat& query, const GpuMat&
     if (query.empty() || train.empty())
         return;
 
-    using namespace cv::cuda::cudev::bf_knnmatch;
+    using namespace cv::cuda::device::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,
@@ -577,7 +577,7 @@ void cv::cuda::BFMatcher_GPU::knnMatch2Collection(const GpuMat& query, const Gpu
     if (query.empty() || trainCollection.empty())
         return;
 
-    using namespace cv::cuda::cudev::bf_knnmatch;
+    using namespace cv::cuda::device::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,
@@ -755,7 +755,7 @@ void cv::cuda::BFMatcher_GPU::radiusMatchSingle(const GpuMat& query, const GpuMa
     if (query.empty() || train.empty())
         return;
 
-    using namespace cv::cuda::cudev::bf_radius_match;
+    using namespace cv::cuda::device::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,
@@ -881,7 +881,7 @@ void cv::cuda::BFMatcher_GPU::radiusMatchCollection(const GpuMat& query, GpuMat&
     if (query.empty() || empty())
         return;
 
-    using namespace cv::cuda::cudev::bf_radius_match;
+    using namespace cv::cuda::device::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,

modules/gpufeatures2d/src/cuda/bf_knnmatch.cu

@@ -50,7 +50,7 @@
 #include "opencv2/core/cuda/datamov_utils.hpp"
 #include "opencv2/core/cuda/warp_shuffle.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace bf_knnmatch
     {

modules/gpufeatures2d/src/cuda/bf_match.cu

@@ -49,7 +49,7 @@
 #include "opencv2/core/cuda/vec_distance.hpp"
 #include "opencv2/core/cuda/datamov_utils.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace bf_match
     {

modules/gpufeatures2d/src/cuda/bf_radius_match.cu

@@ -48,7 +48,7 @@
 #include "opencv2/core/cuda/vec_distance.hpp"
 #include "opencv2/core/cuda/datamov_utils.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace bf_radius_match
     {

modules/gpufeatures2d/src/cuda/fast.cu

@@ -45,7 +45,7 @@
 #include "opencv2/core/cuda/common.hpp"
 #include "opencv2/core/cuda/utility.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace fast
     {

modules/gpufeatures2d/src/cuda/orb.cu

@@ -49,7 +49,7 @@
 #include "opencv2/core/cuda/reduce.hpp"
 #include "opencv2/core/cuda/functional.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace orb
     {

modules/gpufeatures2d/src/fast.cpp

@@ -108,7 +108,7 @@ void cv::cuda::FAST_GPU::operator ()(const GpuMat& img, const GpuMat& mask, GpuM
     keypoints.cols = getKeyPoints(keypoints);
 }
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace fast
     {
@@ -119,7 +119,7 @@ namespace cv { namespace cuda { namespace cudev
 
 int cv::cuda::FAST_GPU::calcKeyPointsLocation(const GpuMat& img, const GpuMat& mask)
 {
-    using namespace cv::cuda::cudev::fast;
+    using namespace cv::cuda::device::fast;
 
     CV_Assert(img.type() == CV_8UC1);
     CV_Assert(mask.empty() || (mask.type() == CV_8UC1 && mask.size() == img.size()));
@@ -142,7 +142,7 @@ int cv::cuda::FAST_GPU::calcKeyPointsLocation(const GpuMat& img, const GpuMat& m
 
 int cv::cuda::FAST_GPU::getKeyPoints(GpuMat& keypoints)
 {
-    using namespace cv::cuda::cudev::fast;
+    using namespace cv::cuda::device::fast;
 
     if (count_ == 0)
         return 0;

modules/gpufeatures2d/src/orb.cpp

@@ -62,7 +62,7 @@ void cv::cuda::ORB_GPU::mergeKeyPoints(GpuMat&) { throw_no_cuda(); }
 
 #else /* !defined (HAVE_CUDA) */
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace orb
     {
@@ -431,7 +431,7 @@ cv::cuda::ORB_GPU::ORB_GPU(int nFeatures, float scaleFactor, int nLevels, int ed
         ++v_0;
     }
     CV_Assert(u_max.size() < 32);
-    cv::cuda::cudev::orb::loadUMax(&u_max[0], static_cast<int>(u_max.size()));
+    cv::cuda::device::orb::loadUMax(&u_max[0], static_cast<int>(u_max.size()));
 
     // Calc pattern
     const int npoints = 512;
@@ -543,7 +543,7 @@ namespace
     //takes keypoints and culls them by the response
     void cull(GpuMat& keypoints, int& count, int n_points)
     {
-        using namespace cv::cuda::cudev::orb;
+        using namespace cv::cuda::device::orb;
 
         //this is only necessary if the keypoints size is greater than the number of desired points.
         if (count > n_points)
@@ -561,7 +561,7 @@ namespace
 
 void cv::cuda::ORB_GPU::computeKeyPointsPyramid()
 {
-    using namespace cv::cuda::cudev::orb;
+    using namespace cv::cuda::device::orb;
 
     int half_patch_size = patchSize_ / 2;
 
@@ -604,7 +604,7 @@ void cv::cuda::ORB_GPU::computeKeyPointsPyramid()
 
 void cv::cuda::ORB_GPU::computeDescriptors(GpuMat& descriptors)
 {
-    using namespace cv::cuda::cudev::orb;
+    using namespace cv::cuda::device::orb;
 
     int nAllkeypoints = 0;
 
@@ -644,7 +644,7 @@ void cv::cuda::ORB_GPU::computeDescriptors(GpuMat& descriptors)
 
 void cv::cuda::ORB_GPU::mergeKeyPoints(GpuMat& keypoints)
 {
-    using namespace cv::cuda::cudev::orb;
+    using namespace cv::cuda::device::orb;
 
     int nAllkeypoints = 0;
 

modules/gpufilters/src/cuda/column_filter.hpp

@@ -46,7 +46,7 @@
 #include "opencv2/core/cuda/border_interpolate.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace column_filter
 {

modules/gpufilters/src/cuda/filter2d.cu

@@ -46,7 +46,7 @@
 #include "opencv2/core/cuda/saturate_cast.hpp"
 #include "opencv2/core/cuda/border_interpolate.hpp"
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <class SrcPtr, typename D>
     __global__ void filter2D(const SrcPtr src, PtrStepSz<D> dst,

modules/gpufilters/src/cuda/row_filter.hpp

@@ -46,7 +46,7 @@
 #include "opencv2/core/cuda/border_interpolate.hpp"
 
 using namespace cv::cuda;
-using namespace cv::cuda::cudev;
+using namespace cv::cuda::device;
 
 namespace row_filter
 {

modules/gpufilters/src/filtering.cpp

@@ -175,7 +175,7 @@ Ptr<Filter> cv::cuda::createBoxFilter(int srcType, int dstType, Size ksize, Poin
 ////////////////////////////////////////////////////////////////////////////////////////////////////
 // Linear Filter
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     template <typename T, typename D>
     void filter2D(PtrStepSzb srcWhole, int ofsX, int ofsY, PtrStepSzb dst, const float* kernel,
@@ -230,22 +230,22 @@ namespace
         switch (srcType)
         {
         case CV_8UC1:
-            func_ = cv::cuda::cudev::filter2D<uchar, uchar>;
+            func_ = cv::cuda::device::filter2D<uchar, uchar>;
             break;
         case CV_8UC4:
-            func_ = cv::cuda::cudev::filter2D<uchar4, uchar4>;
+            func_ = cv::cuda::device::filter2D<uchar4, uchar4>;
             break;
         case CV_16UC1:
-            func_ = cv::cuda::cudev::filter2D<ushort, ushort>;
+            func_ = cv::cuda::device::filter2D<ushort, ushort>;
             break;
         case CV_16UC4:
-            func_ = cv::cuda::cudev::filter2D<ushort4, ushort4>;
+            func_ = cv::cuda::device::filter2D<ushort4, ushort4>;
             break;
         case CV_32FC1:
-            func_ = cv::cuda::cudev::filter2D<float, float>;
+            func_ = cv::cuda::device::filter2D<float, float>;
             break;
         case CV_32FC4:
-            func_ = cv::cuda::cudev::filter2D<float4, float4>;
+            func_ = cv::cuda::device::filter2D<float4, float4>;
             break;
         }
     }

modules/gpuimgproc/src/bilateral_filter.cpp

@@ -51,7 +51,7 @@ void cv::cuda::bilateralFilter(InputArray, OutputArray, int, float, float, int,
 
 #else
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace imgproc
     {
@@ -62,7 +62,7 @@ namespace cv { namespace cuda { namespace cudev
 
 void cv::cuda::bilateralFilter(InputArray _src, OutputArray _dst, int kernel_size, float sigma_color, float sigma_spatial, int borderMode, Stream& stream)
 {
-    using cv::cuda::cudev::imgproc::bilateral_filter_gpu;
+    using cv::cuda::device::imgproc::bilateral_filter_gpu;
 
     typedef void (*func_t)(const PtrStepSzb& src, PtrStepSzb dst, int kernel_size, float sigma_spatial, float sigma_color, int borderMode, cudaStream_t s);
 

modules/gpuimgproc/src/blend.cpp

@@ -54,7 +54,7 @@ void cv::cuda::blendLinear(InputArray, InputArray, InputArray, InputArray, Outpu
 ////////////////////////////////////////////////////////////////////////
 // blendLinear
 
-namespace cv { namespace cuda { namespace cudev
+namespace cv { namespace cuda { namespace device
 {
     namespace blend
     {
@@ -65,7 +65,7 @@ namespace cv { namespace cuda { namespace cudev
     }
 }}}
 
-using namespace ::cv::cuda::cudev::blend;
+using namespace ::cv::cuda::device::blend;
 
 void cv::cuda::blendLinear(InputArray _img1, InputArray _img2, InputArray _weights1, InputArray _weights2,
                           OutputArray _result, Stream& stream)