fixed hundreds of "anonymous" warnings for gpu module.

modules/core/CMakeLists.txt

@@ -5,8 +5,11 @@ ocv_module_include_directories(${ZLIB_INCLUDE_DIR})
 if(HAVE_CUDA)
   file(GLOB lib_cuda "src/cuda/*.cu")
   source_group("Cuda" FILES "${lib_cuda}")
-  
-  ocv_include_directories(${CUDA_INCLUDE_DIRS} "${OpenCV_SOURCE_DIR}/modules/gpu/src" "${OpenCV_SOURCE_DIR}/modules/gpu/src/cuda")  
+  include_directories(AFTER SYSTEM  ${CUDA_INCLUDE_DIRS})
+  ocv_include_directories("${OpenCV_SOURCE_DIR}/modules/gpu/src" "${OpenCV_SOURCE_DIR}/modules/gpu/src/cuda")
+
+  ocv_warnings_disable(CMAKE_CXX_FLAGS -Wundef)
+
   OCV_CUDA_COMPILE(cuda_objs ${lib_cuda})
   
   set(cuda_link_libs ${CUDA_LIBRARIES} ${CUDA_npp_LIBRARY})

modules/gpu/CMakeLists.txt

@@ -30,7 +30,9 @@ if (HAVE_CUDA)
   set(ncv_files ${ncv_srcs} ${ncv_hdrs} ${ncv_cuda})
 
   source_group("Src\\NVidia" FILES ${ncv_files})
-  ocv_include_directories("src/nvidia" "src/nvidia/core" "src/nvidia/NPP_staging" ${CUDA_INCLUDE_DIRS})
+  include_directories(AFTER SYSTEM  ${CUDA_INCLUDE_DIRS})
+  ocv_include_directories("src/nvidia" "src/nvidia/core" "src/nvidia/NPP_staging")
+  ocv_warnings_disable(CMAKE_CXX_FLAGS -Wundef)
 
   #set (CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} "-keep")
   #set (CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} "-Xcompiler;/EHsc-;")

modules/gpu/src/cuda/matrix_reductions.cu

@@ -87,7 +87,9 @@ namespace cv { namespace gpu { namespace device
             __device__ __forceinline__ bool operator()(int y, int x) const 
             { 
                 return true; 
-            } 
+            }
+            __device__ __forceinline__ MaskTrue(){}
+            __device__ __forceinline__ MaskTrue(const MaskTrue& mask_){}
         };
 
         //////////////////////////////////////////////////////////////////////////////
@@ -1795,6 +1797,9 @@ namespace cv { namespace gpu { namespace device
                 return 0;
             }
 
+            __device__ __forceinline__ SumReductor(const SumReductor& other){}
+            __device__ __forceinline__ SumReductor(){}
+
             __device__ __forceinline__ S operator ()(volatile S a, volatile S b) const
             {
                 return a + b;
@@ -1813,6 +1818,9 @@ namespace cv { namespace gpu { namespace device
                 return 0;
             }
 
+            __device__ __forceinline__ AvgReductor(const AvgReductor& other){}
+            __device__ __forceinline__ AvgReductor(){}
+
             __device__ __forceinline__ S operator ()(volatile S a, volatile S b) const
             {
                 return a + b;
@@ -1831,6 +1839,9 @@ namespace cv { namespace gpu { namespace device
                 return numeric_limits<S>::max();
             }
 
+            __device__ __forceinline__ MinReductor(const MinReductor& other){}
+            __device__ __forceinline__ MinReductor(){}
+
             template <typename T> __device__ __forceinline__ T operator ()(volatile T a, volatile T b) const
             {
                 return saturate_cast<T>(::min(a, b));
@@ -1853,6 +1864,9 @@ namespace cv { namespace gpu { namespace device
                 return numeric_limits<S>::min();
             }
 
+            __device__ __forceinline__ MaxReductor(const MaxReductor& other){}
+            __device__ __forceinline__ MaxReductor(){}
+
             template <typename T> __device__ __forceinline__ int operator ()(volatile T a, volatile T b) const
             {
                 return ::max(a, b);

modules/gpu/src/cuda/surf.cu

@@ -116,7 +116,7 @@ namespace cv { namespace gpu { namespace device
 
         template <int N> __device__ float icvCalcHaarPatternSum(const float src[][5], int oldSize, int newSize, int y, int x)
         {
-        #if __CUDA_ARCH__ >= 200
+        #if __CUDA_ARCH__ && __CUDA_ARCH__ >= 200
             typedef double real_t;
         #else
             typedef float  real_t;
@@ -248,7 +248,7 @@ namespace cv { namespace gpu { namespace device
         template <typename Mask>
         __global__ void icvFindMaximaInLayer(const PtrStepf det, const PtrStepf trace, int4* maxPosBuffer, unsigned int* maxCounter)
         {
-            #if __CUDA_ARCH__ >= 110
+            #if __CUDA_ARCH__ && __CUDA_ARCH__ >= 110
 
             extern __shared__ float N9[];
 
@@ -371,7 +371,7 @@ namespace cv { namespace gpu { namespace device
             float* featureX, float* featureY, int* featureLaplacian, int* featureOctave, float* featureSize, float* featureHessian,
             unsigned int* featureCounter)
         {
-            #if __CUDA_ARCH__ >= 110
+            #if __CUDA_ARCH__ && __CUDA_ARCH__ >= 110
 
             const int4 maxPos = maxPosBuffer[blockIdx.x];
 

modules/gpu/src/nvidia/NCVHaarObjectDetection.cu

@@ -231,7 +231,7 @@ __device__ Ncv32u d_outMaskPosition;
 
 __device__ void compactBlockWriteOutAnchorParallel(Ncv32u threadPassFlag, Ncv32u threadElem, Ncv32u *vectorOut)
 {
-#if __CUDA_ARCH__ >= 110
+#if __CUDA_ARCH__ && __CUDA_ARCH__ >= 110
     
     __shared__ Ncv32u shmem[NUM_THREADS_ANCHORSPARALLEL * 2];
     __shared__ Ncv32u numPassed;
@@ -587,7 +587,7 @@ __global__ void applyHaarClassifierClassifierParallel(Ncv32u *d_IImg, Ncv32u IIm
     }
     else
     {
-#if __CUDA_ARCH__ >= 110
+#if __CUDA_ARCH__ && __CUDA_ARCH__ >= 110
         if (bPass && !threadIdx.x)
         {
             Ncv32u outMaskOffset = atomicAdd(&d_outMaskPosition, 1);

modules/gpu/src/nvidia/core/NCVRuntimeTemplates.hpp

@@ -41,7 +41,7 @@
 
 #ifndef _ncvruntimetemplates_hpp_
 #define _ncvruntimetemplates_hpp_
-#if _MSC_VER >= 1200
+#if defined _MSC_VER &&_MSC_VER >= 1200
 #pragma warning( disable: 4800 )
 #endif
 

modules/gpu/src/opencv2/gpu/device/datamov_utils.hpp

@@ -47,7 +47,7 @@
 
 namespace cv { namespace gpu { namespace device 
 {
-    #if __CUDA_ARCH__ >= 200
+    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 200
 
         // for Fermi memory space is detected automatically
         template <typename T> struct ForceGlob

modules/gpu/src/opencv2/gpu/device/detail/color_detail.hpp

@@ -114,6 +114,11 @@ namespace cv { namespace gpu { namespace device
 
                 return dst;
             }
+
+            __device__ __forceinline__ RGB2RGB()
+                : unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
+            __device__ __forceinline__ RGB2RGB(const RGB2RGB& other_)
+                :unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
         };
 
         template <> struct RGB2RGB<uchar, 4, 4, 2> : unary_function<uint, uint>
@@ -129,6 +134,9 @@ namespace cv { namespace gpu { namespace device
 
                 return dst;
             }
+
+            __device__ __forceinline__ RGB2RGB():unary_function<uint, uint>(){}
+            __device__ __forceinline__ RGB2RGB(const RGB2RGB& other_):unary_function<uint, uint>(){}
         };
     }
 
@@ -184,6 +192,8 @@ namespace cv { namespace gpu { namespace device
             {
                 return RGB2RGB5x5Converter<green_bits, bidx>::cvt(src);
             }
+            __device__ __forceinline__ RGB2RGB5x5():unary_function<uchar3, ushort>(){}
+            __device__ __forceinline__ RGB2RGB5x5(const RGB2RGB5x5& other_):unary_function<uchar3, ushort>(){}
         };
         template<int bidx, int green_bits> struct RGB2RGB5x5<4, bidx,green_bits> : unary_function<uint, ushort>
         {
@@ -191,6 +201,9 @@ namespace cv { namespace gpu { namespace device
             {
                 return RGB2RGB5x5Converter<green_bits, bidx>::cvt(src);
             }
+            __device__ __forceinline__ RGB2RGB5x5():unary_function<uint, ushort>(){}
+            __device__ __forceinline__ RGB2RGB5x5(const RGB2RGB5x5& other_):unary_function<uint, ushort>(){}
+
         };
     }
 
@@ -252,7 +265,11 @@ namespace cv { namespace gpu { namespace device
                 RGB5x52RGBConverter<green_bits, bidx>::cvt(src, dst);
                 return dst;
             }
+            __device__ __forceinline__ RGB5x52RGB():unary_function<ushort, uchar3>(){}
+            __device__ __forceinline__ RGB5x52RGB(const RGB5x52RGB& other_):unary_function<ushort, uchar3>(){}
+
         };
+
         template <int bidx, int green_bits> struct RGB5x52RGB<4, bidx, green_bits> : unary_function<ushort, uint>
         {
             __device__ __forceinline__ uint operator()(ushort src) const
@@ -261,6 +278,8 @@ namespace cv { namespace gpu { namespace device
                 RGB5x52RGBConverter<green_bits, bidx>::cvt(src, dst);
                 return dst;
             }
+            __device__ __forceinline__ RGB5x52RGB():unary_function<ushort, uint>(){}
+            __device__ __forceinline__ RGB5x52RGB(const RGB5x52RGB& other_):unary_function<ushort, uint>(){}
         };
     }
 
@@ -289,6 +308,8 @@ namespace cv { namespace gpu { namespace device
 
                 return dst;
             }
+            __device__ __forceinline__ Gray2RGB():unary_function<T, typename TypeVec<T, dcn>::vec_type>(){}
+            __device__ __forceinline__ Gray2RGB(const Gray2RGB& other_):unary_function<T, typename TypeVec<T, dcn>::vec_type>(){}
         };
         template <> struct Gray2RGB<uchar, 4> : unary_function<uchar, uint>
         {
@@ -302,6 +323,8 @@ namespace cv { namespace gpu { namespace device
 
                 return dst;
             }
+            __device__ __forceinline__ Gray2RGB():unary_function<uchar, uint>(){}
+            __device__ __forceinline__ Gray2RGB(const Gray2RGB& other_):unary_function<uchar, uint>(){}
         };
     }
 
@@ -340,6 +363,8 @@ namespace cv { namespace gpu { namespace device
             {
                 return Gray2RGB5x5Converter<green_bits>::cvt(src);
             }
+            __device__ __forceinline__ Gray2RGB5x5():unary_function<uchar, ushort>(){}
+            __device__ __forceinline__ Gray2RGB5x5(const Gray2RGB5x5& other_):unary_function<uchar, ushort>(){}
         };
     }
 
@@ -471,6 +496,8 @@ namespace cv { namespace gpu { namespace device
                 RGB2YUVConvert<bidx>(&src.x, dst);
                 return dst;
             }
+            __device__ __forceinline__ RGB2YUV():unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
+            __device__ __forceinline__ RGB2YUV(const RGB2YUV& other_):unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
         };
     }
 
@@ -535,7 +562,10 @@ namespace cv { namespace gpu { namespace device
 
                 return dst;
             }
+            __device__ __forceinline__ YUV2RGB():unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
+            __device__ __forceinline__ YUV2RGB(const YUV2RGB& other_):unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
         };
+
         template <int bidx> struct YUV2RGB<uchar, 4, 4, bidx> : unary_function<uint, uint>
         {
             __device__ __forceinline__ uint operator ()(uint src) const
@@ -605,7 +635,10 @@ namespace cv { namespace gpu { namespace device
                 RGB2YCrCbConvert<bidx>(&src.x, dst);
                 return dst;
             }
+            __device__ __forceinline__ RGB2YCrCb():unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
+            __device__ __forceinline__ RGB2YCrCb(const RGB2YCrCb& other_):unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
         };
+
         template <int bidx> struct RGB2YCrCb<uchar, 4, 4, bidx> : unary_function<uint, uint>
         {
             __device__ __forceinline__ uint operator ()(uint src) const
@@ -676,7 +709,10 @@ namespace cv { namespace gpu { namespace device
 
                 return dst;
             }
+            __device__ __forceinline__ YCrCb2RGB():unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
+            __device__ __forceinline__ YCrCb2RGB(const YCrCb2RGB& other_):unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
         };
+
         template <int bidx> struct YCrCb2RGB<uchar, 4, 4, bidx> : unary_function<uint, uint>
         {
             __device__ __forceinline__ uint operator ()(uint src) const
@@ -1331,6 +1367,7 @@ namespace cv { namespace gpu { namespace device
             {
                 return HLS2RGBConvert<bidx, hr>(src);
             }
+
         };
     }
 

modules/gpu/src/opencv2/gpu/device/saturate_cast.hpp

@@ -84,7 +84,7 @@ namespace cv { namespace gpu { namespace device
     }
     template<> __device__ __forceinline__ uchar saturate_cast<uchar>(double v)
     {
-    #if __CUDA_ARCH__ >= 130
+    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
         int iv = __double2int_rn(v); 
         return saturate_cast<uchar>(iv);
     #else
@@ -120,7 +120,7 @@ namespace cv { namespace gpu { namespace device
     }
     template<> __device__ __forceinline__ schar saturate_cast<schar>(double v)
     {             
-    #if __CUDA_ARCH__ >= 130
+    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
         int iv = __double2int_rn(v); 
         return saturate_cast<schar>(iv);
     #else
@@ -151,7 +151,7 @@ namespace cv { namespace gpu { namespace device
     }
     template<> __device__ __forceinline__ ushort saturate_cast<ushort>(double v)
     {             
-    #if __CUDA_ARCH__ >= 130
+    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
         int iv = __double2int_rn(v); 
         return saturate_cast<ushort>(iv);
     #else
@@ -178,7 +178,7 @@ namespace cv { namespace gpu { namespace device
     }
     template<> __device__ __forceinline__ short saturate_cast<short>(double v)
     {            
-    #if __CUDA_ARCH__ >= 130
+    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
         int iv = __double2int_rn(v); 
         return saturate_cast<short>(iv);
     #else
@@ -192,7 +192,7 @@ namespace cv { namespace gpu { namespace device
     }
     template<> __device__ __forceinline__ int saturate_cast<int>(double v) 
     {
-    #if __CUDA_ARCH__ >= 130 
+    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
         return __double2int_rn(v);
     #else
         return saturate_cast<int>((float)v);
@@ -205,7 +205,7 @@ namespace cv { namespace gpu { namespace device
     }
     template<> __device__ __forceinline__ uint saturate_cast<uint>(double v) 
     {            
-    #if __CUDA_ARCH__ >= 130
+    #if defined __CUDA_ARCH__ && __CUDA_ARCH__ >= 130
         return __double2uint_rn(v);
     #else
         return saturate_cast<uint>((float)v);
@@ -213,4 +213,4 @@ namespace cv { namespace gpu { namespace device
     }
 }}}
 
-#endif /* __OPENCV_GPU_SATURATE_CAST_HPP__ */
+#endif /* __OPENCV_GPU_SATURATE_CAST_HPP__ */
\ No newline at end of file

modules/gpu/src/opencv2/gpu/device/transform.hpp

@@ -50,14 +50,14 @@
 namespace cv { namespace gpu { namespace device 
 {
     template <typename T, typename D, typename UnOp, typename Mask>
-    static inline void transform(DevMem2D_<T> src, DevMem2D_<D> dst, UnOp op, Mask mask, cudaStream_t stream)
+    static inline void transform(DevMem2D_<T> src, DevMem2D_<D> dst, UnOp op, const Mask& mask, cudaStream_t stream)
     {
         typedef TransformFunctorTraits<UnOp> ft;
         transform_detail::TransformDispatcher<VecTraits<T>::cn == 1 && VecTraits<D>::cn == 1 && ft::smart_shift != 1>::call(src, dst, op, mask, stream);
     }
 
     template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
-    static inline void transform(DevMem2D_<T1> src1, DevMem2D_<T2> src2, DevMem2D_<D> dst, BinOp op, Mask mask, cudaStream_t stream)
+    static inline void transform(DevMem2D_<T1> src1, DevMem2D_<T2> src2, DevMem2D_<D> dst, BinOp op, const Mask& mask, cudaStream_t stream)
     {
         typedef TransformFunctorTraits<BinOp> ft;
         transform_detail::TransformDispatcher<VecTraits<T1>::cn == 1 && VecTraits<T2>::cn == 1 && VecTraits<D>::cn == 1 && ft::smart_shift != 1>::call(src1, src2, dst, op, mask, stream);

modules/gpu/src/opencv2/gpu/device/utility.hpp

@@ -70,6 +70,7 @@ namespace cv { namespace gpu { namespace device
     struct SingleMask
     {
         explicit __host__ __device__ __forceinline__ SingleMask(PtrStepb mask_) : mask(mask_) {}
+        __host__ __device__ __forceinline__ SingleMask(const SingleMask& mask_): mask(mask_.mask){}
         
         __device__ __forceinline__ bool operator()(int y, int x) const
         {            
@@ -81,7 +82,10 @@ namespace cv { namespace gpu { namespace device
 
     struct SingleMaskChannels
     {
-        __host__ __device__ __forceinline__ SingleMaskChannels(PtrStepb mask_, int channels_) : mask(mask_), channels(channels_) {}
+        __host__ __device__ __forceinline__ SingleMaskChannels(PtrStepb mask_, int channels_) 
+        : mask(mask_), channels(channels_) {}
+        __host__ __device__ __forceinline__ SingleMaskChannels(const SingleMaskChannels& mask_)
+            :mask(mask_.mask), channels(mask_.channels){}
         
         __device__ __forceinline__ bool operator()(int y, int x) const
         {            
@@ -94,7 +98,11 @@ namespace cv { namespace gpu { namespace device
 
     struct MaskCollection
     {
-        explicit __host__ __device__ __forceinline__ MaskCollection(PtrStepb* maskCollection_) : maskCollection(maskCollection_) {}
+        explicit __host__ __device__ __forceinline__ MaskCollection(PtrStepb* maskCollection_)
+            : maskCollection(maskCollection_) {}
+
+        __device__ __forceinline__ MaskCollection(const MaskCollection& masks_)
+            : maskCollection(masks_.maskCollection), curMask(masks_.curMask){}
 
         __device__ __forceinline__ void next()
         {
@@ -117,6 +125,9 @@ namespace cv { namespace gpu { namespace device
 
     struct WithOutMask
     {
+        __device__ __forceinline__ WithOutMask(){}
+        __device__ __forceinline__ WithOutMask(const WithOutMask& mask){}
+
         __device__ __forceinline__ void next() const
         {
         }

modules/gpu/test/nvidia/NCVTest.hpp

@@ -11,7 +11,9 @@
 #ifndef _ncvtest_hpp_
 #define _ncvtest_hpp_
 
-#pragma warning( disable : 4201 4408 4127 4100)
+#if defined _MSC_VER
+# pragma warning( disable : 4201 4408 4127 4100)
+#endif
 
 #include <string>
 #include <vector>
@@ -36,6 +38,7 @@ class INCVTest
 public:
     virtual bool executeTest(NCVTestReport &report) = 0;
     virtual std::string getName() const = 0;
+    virtual ~INCVTest(){}
 };