reduced code convert_to by using templates, merged with copyTo
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a0b1107b3c
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26c4859634
@ -53,9 +53,9 @@ __constant__ __align__(16) double scalar_d[4];
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namespace mat_operators
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namespace mat_operators
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{
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{
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//////////////////////////////////////////////////////////
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///////////////////////////////////////////////////////////////////////////
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// CopyTo
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////////////////////////////////// CopyTo /////////////////////////////////
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//////////////////////////////////////////////////////////
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///////////////////////////////////////////////////////////////////////////
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template<typename T>
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template<typename T>
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__global__ void kernel_copy_to_with_mask(T * mat_src, T * mat_dst, const unsigned char * mask, int cols, int rows, int step_mat, int step_mask, int channels)
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__global__ void kernel_copy_to_with_mask(T * mat_src, T * mat_dst, const unsigned char * mask, int cols, int rows, int step_mat, int step_mask, int channels)
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@ -71,9 +71,10 @@ namespace mat_operators
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}
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}
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}
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}
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//////////////////////////////////////////////////////////
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// SetTo
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///////////////////////////////////////////////////////////////////////////
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//////////////////////////////////////////////////////////
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////////////////////////////////// SetTo //////////////////////////////////
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///////////////////////////////////////////////////////////////////////////
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template<typename T>
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template<typename T>
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__global__ void kernel_set_to_without_mask(T * mat, int cols, int rows, int step, int channels)
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__global__ void kernel_set_to_without_mask(T * mat, int cols, int rows, int step, int channels)
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@ -103,33 +104,94 @@ namespace mat_operators
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}
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}
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//////////////////////////////////////////////////////////
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///////////////////////////////////////////////////////////////////////////
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// ConvertTo
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//////////////////////////////// ConvertTo ////////////////////////////////
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//////////////////////////////////////////////////////////
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///////////////////////////////////////////////////////////////////////////
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template <typename T, typename DT>
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struct CalcTraits
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{
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__device__ static DT calc(T src, double alpha, double beta)
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{
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return (DT)__double2int_rn(alpha * src + beta);
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}
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};
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template <typename T>
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struct CalcTraits<T, float>
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{
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__device__ static float calc(T src, double alpha, double beta)
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{
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return (float)(alpha * src + beta);
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}
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};
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template <typename T>
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struct CalcTraits<T, double>
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{
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__device__ static double calc(T src, double alpha, double beta)
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{
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return alpha * src + beta;
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}
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};
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template <typename T, typename DT, size_t src_elem_size, size_t dst_elem_size>
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template <typename T, typename DT, size_t src_elem_size, size_t dst_elem_size>
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struct ConverterTraits
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{
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enum {shift=1};
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typedef T read_type;
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typedef DT write_type;
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};
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template <typename T, typename DT>
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struct ConverterTraits<T, DT, 1, 1>
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{
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enum {shift=4};
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typedef char4 read_type;
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typedef char4 write_type;
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};
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template <typename T, typename DT>
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struct ConverterTraits<T, DT, 2, 1>
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{
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enum {shift=4};
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typedef short4 read_type;
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typedef char4 write_type;
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};
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template <typename T, typename DT>
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struct ConverterTraits<T, DT, 4, 1>
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{
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enum {shift=4};
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typedef int4 read_type;
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typedef char4 write_type;
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};
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template <typename T, typename DT>
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struct ConverterTraits<T, DT, 1, 2>
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{
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enum {shift=2};
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typedef char2 read_type;
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typedef short2 write_type;
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};
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template <typename T, typename DT>
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struct ConverterTraits<T, DT, 2, 2>
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{
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enum {shift=2};
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typedef short2 read_type;
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typedef short2 write_type;
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};
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template <typename T, typename DT>
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struct ConverterTraits<T, DT, 4, 2>
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{
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enum {shift=2};
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typedef int2 read_type;
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typedef short2 write_type;
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};
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template <typename T, typename DT>
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struct Converter
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struct Converter
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{
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__device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
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{
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size_t x = threadIdx.x + blockIdx.x * blockDim.x;
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size_t y = threadIdx.y + blockIdx.y * blockDim.y;
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if (x < width && y < height)
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{
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const T* src = (const T*)(srcmat + src_step * y);
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DT* dst = (DT*)(dstmat + dst_step * y);
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dst[x] = (DT)__double2int_rn(alpha * src[x] + beta);
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}
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}
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__host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
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{
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return dim3(divUp(width, block.x), divUp(height, block.y));
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}
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};
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template <typename T, typename DT>
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struct Converter<T, DT, 1, 1>
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{
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{
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__device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
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__device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
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{
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{
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@ -139,200 +201,37 @@ namespace mat_operators
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{
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{
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const T* src = (const T*)(srcmat + src_step * y);
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const T* src = (const T*)(srcmat + src_step * y);
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DT* dst = (DT*)(dstmat + dst_step * y);
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DT* dst = (DT*)(dstmat + dst_step * y);
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if ((x << 2) + 3 < width)
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if ((x * ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::shift) + ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::shift - 1 < width)
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{
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{
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uchar4 src4b = ((const uchar4*)src)[x];
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typename ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::read_type srcn_el = ((const typename ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::read_type*)src)[x];
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uchar4 dst4b;
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typename ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::write_type dstn_el;
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const T* src1b = (const T*) &src4b.x;
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const T* src1_el = (const T*) &srcn_el;
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DT* dst1b = (DT*) &dst4b.x;
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DT* dst1_el = (DT*) &dstn_el;
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dst1b[0] = (DT)__double2int_rn(alpha * src1b[0] + beta);
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for (int i = 0; i < ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::shift; ++i)
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dst1b[1] = (DT)__double2int_rn(alpha * src1b[1] + beta);
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dst1_el[i] = CalcTraits<T, DT>::calc(src1_el[i], alpha, beta);
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dst1b[2] = (DT)__double2int_rn(alpha * src1b[2] + beta);
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dst1b[3] = (DT)__double2int_rn(alpha * src1b[3] + beta);
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((uchar4*)dst)[x] = dst4b;
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((typename ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::write_type*)dst)[x] = dstn_el;
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}
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}
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else
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else
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{
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{
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if ((x << 2) + 0 < width)
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for (int i = 0; i < ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::shift - 1; ++i)
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dst[(x << 2) + 0] = (DT)__double2int_rn(alpha * src[(x << 2) + 0] + beta);
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if ((x * ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::shift) + i < width)
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dst[(x * ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::shift) + i] = CalcTraits<T, DT>::calc(src[(x * ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::shift) + i], alpha, beta);
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if ((x << 2) + 1 < width)
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dst[(x << 2) + 1] = (DT)__double2int_rn(alpha * src[(x << 2) + 1] + beta);
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if ((x << 2) + 2 < width)
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dst[(x << 2) + 2] = (DT)__double2int_rn(alpha * src[(x << 2) + 2] + beta);
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}
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}
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}
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}
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}
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}
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__host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
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__host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
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{
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{
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return dim3(divUp(width, block.x << 2), divUp(height, block.y));
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return dim3(divUp(width, block.x * ConverterTraits<T, DT, sizeof(T), sizeof(DT)>::shift), divUp(height, block.y));
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}
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};/**/
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template <typename T, typename DT>
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struct Converter<T, DT, 1, 2>
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{
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__device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
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{
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size_t x = threadIdx.x + blockIdx.x * blockDim.x;
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size_t y = threadIdx.y + blockIdx.y * blockDim.y;
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if (y < height)
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{
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const T* src = (const T*)(srcmat + src_step * y);
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DT* dst = (DT*)(dstmat + dst_step * y);
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if ((x << 1) + 1 < width)
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{
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uchar2 src2b = ((const uchar2*)src)[x];
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ushort2 dst2s;
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const T* src1b = (const T*) &src2b;
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DT* dst1s = (DT*) &dst2s;
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dst1s[0] = (DT)__double2int_rn(alpha * src1b[0] + beta);
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dst1s[1] = (DT)__double2int_rn(alpha * src1b[1] + beta);
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((ushort2*)(dst))[x] = dst2s;
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}
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else
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{
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if ((x << 1) < width)
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dst[(x << 1)] = (DT)__double2int_rn(alpha * src[(x << 1)] + beta);
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}
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}
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}
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__host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
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{
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return dim3(divUp(width, block.x << 1), divUp(height, block.y));
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}
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};/**/
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template <typename T, typename DT>
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struct Converter<T, DT, 2, 1>
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{
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__device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
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{
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size_t x = threadIdx.x + blockIdx.x * blockDim.x;
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size_t y = threadIdx.y + blockIdx.y * blockDim.y;
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if (y < height)
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{
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const T* src = (const T*)(srcmat + src_step * y);
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DT* dst = (DT*)(dstmat + dst_step * y);
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if ((x << 2) + 3 < width)
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{
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ushort4 src4s = ((const ushort4*)src)[x];
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uchar4 dst4b;
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const T* src1s = (const T*) &src4s.x;
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DT* dst1b = (DT*) &dst4b.x;
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dst1b[0] = (DT)__double2int_rn(alpha * src1s[0] + beta);
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dst1b[1] = (DT)__double2int_rn(alpha * src1s[1] + beta);
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dst1b[2] = (DT)__double2int_rn(alpha * src1s[2] + beta);
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dst1b[3] = (DT)__double2int_rn(alpha * src1s[3] + beta);
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((uchar4*)(dst))[x] = dst4b;
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}
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else
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{
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if ((x << 2) + 0 < width)
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dst[(x << 2) + 0] = (DT)__double2int_rn(alpha * src[(x << 2) + 0] + beta);
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if ((x << 2) + 1 < width)
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dst[(x << 2) + 1] = (DT)__double2int_rn(alpha * src[(x << 2) + 1] + beta);
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if ((x << 2) + 2 < width)
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dst[(x << 2) + 2] = (DT)__double2int_rn(alpha * src[(x << 2) + 2] + beta);
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}
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}
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}
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__host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
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{
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return dim3(divUp(width, block.x << 2), divUp(height, block.y));
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}
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};/**/
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template <typename T, typename DT>
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struct Converter<T, DT, 2, 2>
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{
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__device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
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{
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size_t x = threadIdx.x + blockIdx.x * blockDim.x;
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size_t y = threadIdx.y + blockIdx.y * blockDim.y;
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if (y < height)
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{
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const T* src = (const T*)(srcmat + src_step * y);
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DT* dst = (DT*)(dstmat + dst_step * y);
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if ((x << 1) + 1 < width)
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{
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ushort2 src2s = ((const ushort2*)src)[x];
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ushort2 dst2s;
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const T* src1s = (const T*) &src2s.x;
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DT* dst1s = (DT*) &dst2s.x;
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dst1s[0] = (DT)__double2int_rn(alpha * src1s[0] + beta);
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dst1s[1] = (DT)__double2int_rn(alpha * src1s[1] + beta);
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((ushort2*)dst)[x] = dst2s;
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}
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else
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{
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if ((x << 1) < width)
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dst[(x << 1)] = (DT)__double2int_rn(alpha * src[(x << 1)] + beta);
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}
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}
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}
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__host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
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{
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return dim3(divUp(width, block.x << 1), divUp(height, block.y));
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}
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};/**/
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template <typename T, size_t src_elem_size, size_t dst_elem_size>
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struct Converter<T, float, src_elem_size, dst_elem_size>
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{
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__device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
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{
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size_t x = threadIdx.x + blockIdx.x * blockDim.x;
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size_t y = threadIdx.y + blockIdx.y * blockDim.y;
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if (x < width && y < height)
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{
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const T* src = (const T*)(srcmat + src_step * y);
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float* dst = (float*)(dstmat + dst_step * y);
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dst[x] = (float)(alpha * src[x] + beta);
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}
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}
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__host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
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{
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return dim3(divUp(width, block.x), divUp(height, block.y));
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}
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};
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template <typename T, size_t src_elem_size, size_t dst_elem_size>
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struct Converter<T, double, src_elem_size, dst_elem_size>
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{
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__device__ static void convert(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
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{
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size_t x = threadIdx.x + blockIdx.x * blockDim.x;
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size_t y = threadIdx.y + blockIdx.y * blockDim.y;
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if (x < width && y < height)
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{
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const T* src = (const T*)(srcmat + src_step * y);
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double* dst = (double*)(dstmat + dst_step * y);
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dst[x] = (double)(alpha * src[x] + beta);
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}
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}
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__host__ static inline dim3 calcGrid(size_t width, size_t height, dim3 block)
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{
|
|
||||||
return dim3(divUp(width, block.x), divUp(height, block.y));
|
|
||||||
}
|
}
|
||||||
};
|
};
|
||||||
|
|
||||||
template <typename T, typename DT>
|
template <typename T, typename DT>
|
||||||
__global__ static void kernel_convert_to(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
|
__global__ static void kernel_convert_to(uchar* srcmat, size_t src_step, uchar* dstmat, size_t dst_step, size_t width, size_t height, double alpha, double beta)
|
||||||
{
|
{
|
||||||
Converter<T, DT, sizeof(T), sizeof(DT)>::convert(srcmat, src_step, dstmat, dst_step, width, height, alpha, beta);
|
Converter<T, DT>::convert(srcmat, src_step, dstmat, dst_step, width, height, alpha, beta);
|
||||||
}
|
}
|
||||||
|
|
||||||
} // namespace mat_operators
|
} // namespace mat_operators
|
||||||
@ -344,9 +243,9 @@ namespace cv
|
|||||||
namespace impl
|
namespace impl
|
||||||
{
|
{
|
||||||
|
|
||||||
//////////////////////////////////////////////////////////////
|
///////////////////////////////////////////////////////////////////////////
|
||||||
// CopyTo
|
////////////////////////////////// CopyTo /////////////////////////////////
|
||||||
//////////////////////////////////////////////////////////////
|
///////////////////////////////////////////////////////////////////////////
|
||||||
|
|
||||||
typedef void (*CopyToFunc)(const DevMem2D& mat_src, const DevMem2D& mat_dst, const DevMem2D& mask, int channels);
|
typedef void (*CopyToFunc)(const DevMem2D& mat_src, const DevMem2D& mat_dst, const DevMem2D& mask, int channels);
|
||||||
|
|
||||||
@ -382,9 +281,9 @@ namespace cv
|
|||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
//////////////////////////////////////////////////////////////
|
///////////////////////////////////////////////////////////////////////////
|
||||||
// SetTo
|
////////////////////////////////// SetTo //////////////////////////////////
|
||||||
//////////////////////////////////////////////////////////////
|
///////////////////////////////////////////////////////////////////////////
|
||||||
|
|
||||||
typedef void (*SetToFunc_with_mask)(const DevMem2D& mat, const DevMem2D& mask, int channels);
|
typedef void (*SetToFunc_with_mask)(const DevMem2D& mat, const DevMem2D& mask, int channels);
|
||||||
typedef void (*SetToFunc_without_mask)(const DevMem2D& mat, int channels);
|
typedef void (*SetToFunc_without_mask)(const DevMem2D& mat, int channels);
|
||||||
@ -464,23 +363,21 @@ namespace cv
|
|||||||
func(mat, mask, channels);
|
func(mat, mask, channels);
|
||||||
}
|
}
|
||||||
|
|
||||||
//////////////////////////////////////////////////////////////
|
|
||||||
// ConvertTo
|
///////////////////////////////////////////////////////////////////////////
|
||||||
//////////////////////////////////////////////////////////////
|
//////////////////////////////// ConvertTo ////////////////////////////////
|
||||||
|
///////////////////////////////////////////////////////////////////////////
|
||||||
|
|
||||||
typedef void (*CvtFunc)(const DevMem2D& src, DevMem2D& dst, size_t width, size_t height, double alpha, double beta);
|
typedef void (*CvtFunc)(const DevMem2D& src, DevMem2D& dst, size_t width, size_t height, double alpha, double beta);
|
||||||
|
|
||||||
//#if !defined(__CUDA_ARCH__) || (__CUDA_ARCH__ >= 130)
|
|
||||||
|
|
||||||
template<typename T, typename DT>
|
template<typename T, typename DT>
|
||||||
void cvt_(const DevMem2D& src, DevMem2D& dst, size_t width, size_t height, double alpha, double beta)
|
void cvt_(const DevMem2D& src, DevMem2D& dst, size_t width, size_t height, double alpha, double beta)
|
||||||
{
|
{
|
||||||
dim3 block(32, 8);
|
dim3 block(32, 8);
|
||||||
dim3 grid = ::mat_operators::Converter<T, DT, sizeof(T), sizeof(DT)>::calcGrid(width, height, block);
|
dim3 grid = ::mat_operators::Converter<T, DT>::calcGrid(width, height, block);
|
||||||
::mat_operators::kernel_convert_to<T, DT><<<grid, block>>>(src.ptr, src.step, dst.ptr, dst.step, width, height, alpha, beta);
|
::mat_operators::kernel_convert_to<T, DT><<<grid, block>>>(src.ptr, src.step, dst.ptr, dst.step, width, height, alpha, beta);
|
||||||
cudaSafeCall( cudaThreadSynchronize() );
|
cudaSafeCall( cudaThreadSynchronize() );
|
||||||
}
|
}
|
||||||
//#endif
|
|
||||||
|
|
||||||
extern "C" void convert_to(const DevMem2D& src, int sdepth, DevMem2D dst, int ddepth, size_t width, size_t height, double alpha, double beta)
|
extern "C" void convert_to(const DevMem2D& src, int sdepth, DevMem2D dst, int ddepth, size_t width, size_t height, double alpha, double beta)
|
||||||
{
|
{
|
||||||
@ -512,11 +409,9 @@ namespace cv
|
|||||||
|
|
||||||
CvtFunc func = tab[sdepth][ddepth];
|
CvtFunc func = tab[sdepth][ddepth];
|
||||||
if (func == 0)
|
if (func == 0)
|
||||||
error("Operation \'ConvertTo\' doesn't supported on your GPU model", __FILE__, __LINE__);
|
cv::gpu::error("Operation \'ConvertTo\' doesn't supported on your GPU model", __FILE__, __LINE__);
|
||||||
func(src, dst, width, height, alpha, beta);
|
func(src, dst, width, height, alpha, beta);
|
||||||
}
|
}
|
||||||
}
|
} // namespace impl
|
||||||
|
} // namespace gpu
|
||||||
|
} // namespace cv
|
||||||
}
|
|
||||||
}
|
|
||||||
|
@ -114,8 +114,6 @@ void cv::gpu::GpuMat::copyTo( GpuMat& mat, const GpuMat& mask ) const
|
|||||||
|
|
||||||
void cv::gpu::GpuMat::convertTo( GpuMat& dst, int rtype, double alpha, double beta ) const
|
void cv::gpu::GpuMat::convertTo( GpuMat& dst, int rtype, double alpha, double beta ) const
|
||||||
{
|
{
|
||||||
//CV_Assert(!"Not implemented");
|
|
||||||
|
|
||||||
bool noScale = fabs(alpha-1) < std::numeric_limits<double>::epsilon() && fabs(beta) < std::numeric_limits<double>::epsilon();
|
bool noScale = fabs(alpha-1) < std::numeric_limits<double>::epsilon() && fabs(beta) < std::numeric_limits<double>::epsilon();
|
||||||
|
|
||||||
if( rtype < 0 )
|
if( rtype < 0 )
|
||||||
@ -124,11 +122,11 @@ void cv::gpu::GpuMat::convertTo( GpuMat& dst, int rtype, double alpha, double be
|
|||||||
rtype = CV_MAKETYPE(CV_MAT_DEPTH(rtype), channels());
|
rtype = CV_MAKETYPE(CV_MAT_DEPTH(rtype), channels());
|
||||||
|
|
||||||
int sdepth = depth(), ddepth = CV_MAT_DEPTH(rtype);
|
int sdepth = depth(), ddepth = CV_MAT_DEPTH(rtype);
|
||||||
/*if( sdepth == ddepth && noScale )
|
if( sdepth == ddepth && noScale )
|
||||||
{
|
{
|
||||||
copyTo(dst);
|
copyTo(dst);
|
||||||
return;
|
return;
|
||||||
}*/
|
}
|
||||||
|
|
||||||
GpuMat temp;
|
GpuMat temp;
|
||||||
const GpuMat* psrc = this;
|
const GpuMat* psrc = this;
|
||||||
|
@ -26,7 +26,7 @@ void CV_GpuMatOpConvertTo::run( int /* start_from */)
|
|||||||
{
|
{
|
||||||
const Size img_size(67, 35);
|
const Size img_size(67, 35);
|
||||||
|
|
||||||
const int types[] = {CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F/**/};
|
const int types[] = {CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F};
|
||||||
const int types_num = sizeof(types) / sizeof(int);
|
const int types_num = sizeof(types) / sizeof(int);
|
||||||
|
|
||||||
const char* types_str[] = {"CV_8U", "CV_8S", "CV_16U", "CV_16S", "CV_32S", "CV_32F", "CV_64F"};
|
const char* types_str[] = {"CV_8U", "CV_8S", "CV_16U", "CV_16S", "CV_32S", "CV_32F", "CV_64F"};
|
||||||
@ -39,9 +39,6 @@ void CV_GpuMatOpConvertTo::run( int /* start_from */)
|
|||||||
{
|
{
|
||||||
for (int c = 1; c < 2 && passed; ++c)
|
for (int c = 1; c < 2 && passed; ++c)
|
||||||
{
|
{
|
||||||
//if (i == j)
|
|
||||||
// continue;
|
|
||||||
|
|
||||||
const int src_type = CV_MAKETYPE(types[i], c);
|
const int src_type = CV_MAKETYPE(types[i], c);
|
||||||
const int dst_type = types[j];
|
const int dst_type = types[j];
|
||||||
const double alpha = (double)rand() / RAND_MAX * 10.0;
|
const double alpha = (double)rand() / RAND_MAX * 10.0;
|
||||||
@ -53,30 +50,34 @@ void CV_GpuMatOpConvertTo::run( int /* start_from */)
|
|||||||
Mat cpumatdst;
|
Mat cpumatdst;
|
||||||
GpuMat gpumatdst;
|
GpuMat gpumatdst;
|
||||||
|
|
||||||
//double cput = (double)getTickCount();
|
//TickMeter tm;
|
||||||
|
//tm.start();
|
||||||
|
//for(int i = 0; i < 50; ++i)
|
||||||
cpumatsrc.convertTo(cpumatdst, dst_type, alpha, beta);
|
cpumatsrc.convertTo(cpumatdst, dst_type, alpha, beta);
|
||||||
//cput = ((double)getTickCount() - cput) / getTickFrequency();
|
//tm.stop();
|
||||||
|
//cout << "SRC_TYPE=" << types_str[i] << "C" << c << " DST_TYPE=" << types_str[j] << endl << "\tCPU FPS = " << 50.0/tm.getTimeSec() << endl;
|
||||||
|
|
||||||
//double gput = (double)getTickCount();
|
//tm.reset();
|
||||||
|
|
||||||
|
try
|
||||||
|
{
|
||||||
|
//tm.start();
|
||||||
|
//for(int i = 0; i < 50; ++i)
|
||||||
gpumatsrc.convertTo(gpumatdst, dst_type, alpha, beta);
|
gpumatsrc.convertTo(gpumatdst, dst_type, alpha, beta);
|
||||||
//gput = ((double)getTickCount() - gput) / getTickFrequency();
|
//tm.stop();
|
||||||
|
//cout << "\tGPU FPS = " << 50.0/tm.getTimeSec() << endl;
|
||||||
|
}
|
||||||
|
catch(cv::Exception& e)
|
||||||
|
{
|
||||||
|
cout << "ERROR: " << e.err << endl;
|
||||||
|
passed = false;
|
||||||
|
break;
|
||||||
|
}
|
||||||
|
|
||||||
/*cout << "convertTo time: " << endl;
|
double r = norm(cpumatdst, gpumatdst, NORM_INF);
|
||||||
cout << "CPU time: " << cput << endl;
|
|
||||||
cout << "GPU time: " << gput << endl;/**/
|
|
||||||
|
|
||||||
double r = norm(cpumatdst, gpumatdst, NORM_L1);
|
|
||||||
if (r > 1)
|
if (r > 1)
|
||||||
{
|
{
|
||||||
/*namedWindow("CPU");
|
cout << "FAILED: " << "SRC_TYPE=" << types_str[i] << "C" << c << " DST_TYPE=" << types_str[j] << " NORM = " << r << endl;
|
||||||
imshow("CPU", cpumatdst);
|
|
||||||
namedWindow("GPU");
|
|
||||||
imshow("GPU", gpumatdst);
|
|
||||||
waitKey();/**/
|
|
||||||
|
|
||||||
cout << "Failed:" << endl;
|
|
||||||
cout << "\tr = " << r << endl;
|
|
||||||
cout << "\tSRC_TYPE=" << types_str[i] << "C" << c << " DST_TYPE=" << types_str[j] << endl;/**/
|
|
||||||
|
|
||||||
passed = false;
|
passed = false;
|
||||||
}
|
}
|
||||||
|
Loading…
x
Reference in New Issue
Block a user