generic-library/opencv
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added gpu 1d window sum, convertTo, based on NPP.

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added RGB <-> XYZ color conversion.
gpu morphology minor fix.
This commit is contained in:
Vladislav Vinogradov 2010-09-29 09:07:53 +00:00
parent 12b7f3a0d0
commit fb7aa43feb
9 changed files with 567 additions and 500 deletions
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3
modules/gpu/include/opencv2/gpu/gpu.hpp
View File

@ -533,6 +533,9 @@ namespace cv
//! applies an advanced morphological operation to the image
CV_EXPORTS void morphologyEx( const GpuMat& src, GpuMat& dst, int op, const Mat& kernel, Point anchor, int iterations);
CV_EXPORTS void sumWindowColumn(const GpuMat& src, GpuMat& dst, int ksize, int anchor = -1);
CV_EXPORTS void sumWindowRow(const GpuMat& src, GpuMat& dst, int ksize, int anchor = -1);
//////////////////////////////// Image Labeling ////////////////////////////////

653
modules/gpu/src/cuda/color.cu
View File

@ -187,8 +187,7 @@ namespace cv { namespace gpu { namespace improc
namespace imgproc
{
template <int GREEN_BITS, int DSTCN> struct RGB5x52RGBConverter {};
template <int GREEN_BITS, int DSTCN> struct RGB5x52RGBConverter {};
template <int DSTCN> struct RGB5x52RGBConverter<5, DSTCN>
{
typedef typename TypeVec<uchar, DSTCN>::vec_t dst_t;
@ -239,7 +238,6 @@ namespace imgproc
}
template <int SRCCN, int GREEN_BITS> struct RGB2RGB5x5Converter {};
template<int SRCCN> struct RGB2RGB5x5Converter<SRCCN, 6>
{
static __device__ unsigned short cvt(const uchar* src_ptr, int bidx)
@ -258,7 +256,7 @@ namespace imgproc
{
static __device__ unsigned short cvt(const uchar* src_ptr, int bidx)
{
return (unsigned short)((src_ptr[bidx] >> 3) | ((src_ptr[1] & ~7) << 2) | ((src_ptr[bidx^2] & ~7) << 7)|(src_ptr[3] ? 0x8000 : 0));
return (unsigned short)((src_ptr[bidx] >> 3) | ((src_ptr[1] & ~7) << 2) | ((src_ptr[bidx^2] & ~7) << 7) | (src_ptr[3] ? 0x8000 : 0));
}
};
@ -343,7 +341,7 @@ namespace cv { namespace gpu { namespace improc
namespace imgproc
{
template <int DSTCN, typename T>
__global__ void Gray2RGB(const T* src_, size_t src_step, T* dst_, size_t dst_step, int rows, int cols)
__global__ void Gray2RGB(const uchar* src_, size_t src_step, uchar* dst_, size_t dst_step, int rows, int cols)
{
typedef typename TypeVec<T, DSTCN>::vec_t dst_t;
@ -352,18 +350,17 @@ namespace imgproc
if (y < rows && x < cols)
{
T src = src_[y * src_step + x];
T src = *(const T*)(src_ + y * src_step + x * sizeof(T));
dst_t dst;
dst.x = src;
dst.y = src;
dst.z = src;
setAlpha(dst, ColorChannel<T>::max());
*(dst_t*)(dst_ + y * dst_step + x * DSTCN) = dst;
*(dst_t*)(dst_ + y * dst_step + x * DSTCN * sizeof(T)) = dst;
}
}
template <int GREEN_BITS> struct Gray2RGB5x5Converter {};
template<> struct Gray2RGB5x5Converter<6>
{
static __device__ unsigned short cvt(unsigned int t)
@ -378,7 +375,7 @@ namespace imgproc
t >>= 3;
return (unsigned short)(t | (t << 5) | (t << 10));
}
};
};
template<int GREEN_BITS>
__global__ void Gray2RGB5x5(const uchar* src_, size_t src_step, uchar* dst_, size_t dst_step, int rows, int cols)
@ -398,7 +395,7 @@ namespace imgproc
namespace cv { namespace gpu { namespace improc
{
template <typename T, int DSTCN>
void Gray2RGB_caller(const DevMem2D_<T>& src, const DevMem2D_<T>& dst, cudaStream_t stream)
void Gray2RGB_caller(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream)
{
dim3 threads(32, 8, 1);
dim3 grid(1, 1, 1);
@ -406,14 +403,14 @@ namespace cv { namespace gpu { namespace improc
grid.x = divUp(src.cols, threads.x);
grid.y = divUp(src.rows, threads.y);
imgproc::Gray2RGB<DSTCN><<<grid, threads, 0, stream>>>(src.ptr, src.step / sizeof(T),
dst.ptr, dst.step / sizeof(T), src.rows, src.cols);
imgproc::Gray2RGB<DSTCN, T><<<grid, threads, 0, stream>>>(src.ptr, src.step,
dst.ptr, dst.step, src.rows, src.cols);
if (stream == 0)
cudaSafeCall( cudaThreadSynchronize() );
}
void Gray2RGB_gpu(const DevMem2D& src, const DevMem2D& dst, int dstcn, cudaStream_t stream)
void Gray2RGB_gpu_8u(const DevMem2D& src, const DevMem2D& dst, int dstcn, cudaStream_t stream)
{
typedef void (*Gray2RGB_caller_t)(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream);
static const Gray2RGB_caller_t Gray2RGB_callers[] = {Gray2RGB_caller<uchar, 3>, Gray2RGB_caller<uchar, 4>};
@ -421,17 +418,17 @@ namespace cv { namespace gpu { namespace improc
Gray2RGB_callers[dstcn - 3](src, dst, stream);
}
void Gray2RGB_gpu(const DevMem2D_<unsigned short>& src, const DevMem2D_<unsigned short>& dst, int dstcn, cudaStream_t stream)
void Gray2RGB_gpu_16u(const DevMem2D& src, const DevMem2D& dst, int dstcn, cudaStream_t stream)
{
typedef void (*Gray2RGB_caller_t)(const DevMem2D_<unsigned short>& src, const DevMem2D_<unsigned short>& dst, cudaStream_t stream);
typedef void (*Gray2RGB_caller_t)(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream);
static const Gray2RGB_caller_t Gray2RGB_callers[] = {Gray2RGB_caller<unsigned short, 3>, Gray2RGB_caller<unsigned short, 4>};
Gray2RGB_callers[dstcn - 3](src, dst, stream);
}
void Gray2RGB_gpu(const DevMem2Df& src, const DevMem2Df& dst, int dstcn, cudaStream_t stream)
void Gray2RGB_gpu_32f(const DevMem2D& src, const DevMem2D& dst, int dstcn, cudaStream_t stream)
{
typedef void (*Gray2RGB_caller_t)(const DevMem2Df& src, const DevMem2Df& dst, cudaStream_t stream);
typedef void (*Gray2RGB_caller_t)(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream);
static const Gray2RGB_caller_t Gray2RGB_callers[] = {Gray2RGB_caller<float, 3>, Gray2RGB_caller<float, 4>};
Gray2RGB_callers[dstcn - 3](src, dst, stream);
@ -484,7 +481,6 @@ namespace imgproc
};
template <int GREEN_BITS> struct RGB5x52GrayConverter {};
template<> struct RGB5x52GrayConverter<6>
{
static __device__ unsigned char cvt(unsigned int t)
@ -514,200 +510,46 @@ namespace imgproc
}
}
__global__ void RGB2Gray_3(const uchar* src_, size_t src_step, uchar* dst_, size_t dst_step, int rows, int cols, int bidx)
template <typename T> struct RGB2GrayConvertor
{
const int x = (blockDim.x * blockIdx.x + threadIdx.x) << 2;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
static __device__ T cvt(const T* src, int bidx)
{
return (T)CV_DESCALE((unsigned)(src[bidx] * B2Y + src[1] * G2Y + src[bidx^2] * R2Y), yuv_shift);
}
};
template <> struct RGB2GrayConvertor<float>
{
static __device__ float cvt(const float* src, int bidx)
{
const float cr = 0.299f;
const float cg = 0.587f;
const float cb = 0.114f;
return src[bidx] * cb + src[1] * cg + src[bidx^2] * cr;
}
};
template <int SRCCN, typename T>
__global__ void RGB2Gray(const uchar* src_, size_t src_step, uchar* dst_, size_t dst_step, int rows, int cols, int bidx)
{
typedef typename TypeVec<T, SRCCN>::vec_t src_t;
const int x = blockDim.x * blockIdx.x + threadIdx.x;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
if (y < rows && x < cols)
{
const uchar* src = src_ + y * src_step + x * 3;
src_t src = *(const src_t*)(src_ + y * src_step + x * SRCCN * sizeof(T));
uchar t0 = src[bidx], t1 = src[1], t2 = src[bidx ^ 2];
uchar4 dst;
dst.x = (uchar)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
src += 3;
t0 = src[bidx], t1 = src[1], t2 = src[bidx ^ 2];
dst.y = (uchar)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
src += 3;
t0 = src[bidx], t1 = src[1], t2 = src[bidx ^ 2];
dst.z = (uchar)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
src += 3;
t0 = src[bidx], t1 = src[1], t2 = src[bidx ^ 2];
dst.w = (uchar)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
*(uchar4*)(dst_ + y * dst_step + x) = dst;
*(T*)(dst_ + y * dst_step + x * sizeof(T)) = RGB2GrayConvertor<T>::cvt((const T*)(&src), bidx);
}
}
__global__ void RGB2Gray_3(const unsigned short* src_, size_t src_step, unsigned short* dst_, size_t dst_step, int rows, int cols, int bidx)
{
const int x = (blockDim.x * blockIdx.x + threadIdx.x) << 1;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
if (y < rows && x < cols)
{
const unsigned short* src = src_ + y * src_step + x * 3;
unsigned short t0 = src[bidx], t1 = src[1], t2 = src[bidx ^ 2];
ushort2 dst;
dst.x = (unsigned short)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
src += 3;
t0 = src[bidx], t1 = src[1], t2 = src[bidx ^ 2];
dst.y = (unsigned short)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
*(ushort2*)(dst_ + y * dst_step + x) = dst;
}
}
__global__ void RGB2Gray_3(const float* src_, size_t src_step, float* dst_, size_t dst_step, int rows, int cols, int bidx)
{
const float cr = 0.299f;
const float cg = 0.587f;
const float cb = 0.114f;
const int x = blockDim.x * blockIdx.x + threadIdx.x;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
if (y < rows && x < cols)
{
const float* src = src_ + y * src_step + x * 3;
float t0 = src[bidx], t1 = src[1], t2 = src[bidx ^ 2];
*(dst_ + y * dst_step + x) = t0 * cb + t1 * cg + t2 * cr;
}
}
__global__ void RGB2Gray_4(const uchar* src_, size_t src_step, uchar* dst_, size_t dst_step, int rows, int cols, int bidx)
{
const int x = (blockDim.x * blockIdx.x + threadIdx.x) << 2;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
if (y < rows && x < cols)
{
uchar4 src = *(uchar4*)(src_ + y * src_step + (x << 2));
uchar t0 = ((uchar*)(&src))[bidx], t1 = src.y, t2 = ((uchar*)(&src))[bidx ^ 2];
uchar4 dst;
dst.x = (uchar)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
src = *(uchar4*)(src_ + y * src_step + (x << 2) + 4);
t0 = ((uchar*)(&src))[bidx], t1 = src.y, t2 = ((uchar*)(&src))[bidx ^ 2];
dst.y = (uchar)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
src = *(uchar4*)(src_ + y * src_step + (x << 2) + 8);
t0 = ((uchar*)(&src))[bidx], t1 = src.y, t2 = ((uchar*)(&src))[bidx ^ 2];
dst.z = (uchar)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
src = *(uchar4*)(src_ + y * src_step + (x << 2) + 12);
t0 = ((uchar*)(&src))[bidx], t1 = src.y, t2 = ((uchar*)(&src))[bidx ^ 2];
dst.w = (uchar)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
*(uchar4*)(dst_ + y * dst_step + x) = dst;
}
}
__global__ void RGB2Gray_4(const unsigned short* src_, size_t src_step, unsigned short* dst_, size_t dst_step, int rows, int cols, int bidx)
{
const int x = (blockDim.x * blockIdx.x + threadIdx.x) << 1;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
if (y < rows && x < cols)
{
ushort4 src = *(ushort4*)(src_ + y * src_step + (x << 2));
unsigned short t0 = ((unsigned short*)(&src))[bidx], t1 = src.y, t2 = ((unsigned short*)(&src))[bidx ^ 2];
ushort2 dst;
dst.x = (unsigned short)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
src = *(ushort4*)(src_ + y * src_step + (x << 2) + 4);
t0 = ((unsigned short*)(&src))[bidx], t1 = src.y, t2 = ((unsigned short*)(&src))[bidx ^ 2];
dst.y = (unsigned short)CV_DESCALE((unsigned)(t0 * B2Y + t1 * G2Y + t2 * R2Y), yuv_shift);
*(ushort2*)(dst_ + y * dst_step + x) = dst;
}
}
__global__ void RGB2Gray_4(const float* src_, size_t src_step, float* dst_, size_t dst_step, int rows, int cols, int bidx)
{
const float cr = 0.299f;
const float cg = 0.587f;
const float cb = 0.114f;
const int x = blockDim.x * blockIdx.x + threadIdx.x;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
if (y < rows && x < cols)
{
float4 src = *(float4*)(src_ + y * src_step + (x << 2));
float t0 = ((float*)(&src))[bidx], t1 = src.y, t2 = ((float*)(&src))[bidx ^ 2];
*(dst_ + y * dst_step + x) = t0 * cb + t1 * cg + t2 * cr;
}
}
}
}
namespace cv { namespace gpu { namespace improc
{
void RGB2Gray_gpu(const DevMem2D& src, int srccn, const DevMem2D& dst, int bidx, cudaStream_t stream)
{
dim3 threads(32, 8, 1);
dim3 grid(1, 1, 1);
grid.x = divUp(src.cols, threads.x << 2);
grid.y = divUp(src.rows, threads.y);
switch (srccn)
{
case 3:
imgproc::RGB2Gray_3<<<grid, threads, 0, stream>>>(src.ptr, src.step / sizeof(uchar), dst.ptr, dst.step / sizeof(uchar), src.rows, src.cols, bidx);
break;
case 4:
imgproc::RGB2Gray_4<<<grid, threads, 0, stream>>>(src.ptr, src.step / sizeof(uchar), dst.ptr, dst.step / sizeof(uchar), src.rows, src.cols, bidx);
break;
default:
cv::gpu::error("Unsupported channels count", __FILE__, __LINE__);
break;
}
if (stream == 0)
cudaSafeCall( cudaThreadSynchronize() );
}
void RGB2Gray_gpu(const DevMem2D_<unsigned short>& src, int srccn, const DevMem2D_<unsigned short>& dst, int bidx, cudaStream_t stream)
{
dim3 threads(32, 8, 1);
dim3 grid(1, 1, 1);
grid.x = divUp(src.cols, threads.x << 1);
grid.y = divUp(src.rows, threads.y);
switch (srccn)
{
case 3:
imgproc::RGB2Gray_3<<<grid, threads, 0, stream>>>(src.ptr, src.step / sizeof(unsigned short), dst.ptr, dst.step / sizeof(unsigned short), src.rows, src.cols, bidx);
break;
case 4:
imgproc::RGB2Gray_4<<<grid, threads, 0, stream>>>(src.ptr, src.step / sizeof(unsigned short), dst.ptr, dst.step / sizeof(unsigned short), src.rows, src.cols, bidx);
break;
default:
cv::gpu::error("Unsupported channels count", __FILE__, __LINE__);
break;
}
if (stream == 0)
cudaSafeCall( cudaThreadSynchronize() );
}
void RGB2Gray_gpu(const DevMem2Df& src, int srccn, const DevMem2Df& dst, int bidx, cudaStream_t stream)
template <typename T, int SRCCN>
void RGB2Gray_caller(const DevMem2D& src, const DevMem2D& dst, int bidx, cudaStream_t stream)
{
dim3 threads(32, 8, 1);
dim3 grid(1, 1, 1);
@ -715,23 +557,37 @@ namespace cv { namespace gpu { namespace improc
grid.x = divUp(src.cols, threads.x);
grid.y = divUp(src.rows, threads.y);
switch (srccn)
{
case 3:
imgproc::RGB2Gray_3<<<grid, threads, 0, stream>>>(src.ptr, src.step / sizeof(float), dst.ptr, dst.step / sizeof(float), src.rows, src.cols, bidx);
break;
case 4:
imgproc::RGB2Gray_4<<<grid, threads, 0, stream>>>(src.ptr, src.step / sizeof(float), dst.ptr, dst.step / sizeof(float), src.rows, src.cols, bidx);
break;
default:
cv::gpu::error("Unsupported channels count", __FILE__, __LINE__);
break;
}
imgproc::RGB2Gray<SRCCN, T><<<grid, threads, 0, stream>>>(src.ptr, src.step,
dst.ptr, dst.step, src.rows, src.cols, bidx);
if (stream == 0)
cudaSafeCall( cudaThreadSynchronize() );
}
void RGB2Gray_gpu_8u(const DevMem2D& src, int srccn, const DevMem2D& dst, int bidx, cudaStream_t stream)
{
typedef void (*RGB2Gray_caller_t)(const DevMem2D& src, const DevMem2D& dst, int bidx, cudaStream_t stream);
RGB2Gray_caller_t RGB2Gray_callers[] = {RGB2Gray_caller<unsigned char, 3>, RGB2Gray_caller<unsigned char, 4>};
RGB2Gray_callers[srccn - 3](src, dst, bidx, stream);
}
void RGB2Gray_gpu_16u(const DevMem2D& src, int srccn, const DevMem2D& dst, int bidx, cudaStream_t stream)
{
typedef void (*RGB2Gray_caller_t)(const DevMem2D& src, const DevMem2D& dst, int bidx, cudaStream_t stream);
RGB2Gray_caller_t RGB2Gray_callers[] = {RGB2Gray_caller<unsigned short, 3>, RGB2Gray_caller<unsigned short, 4>};
RGB2Gray_callers[srccn - 3](src, dst, bidx, stream);
}
void RGB2Gray_gpu_32f(const DevMem2D& src, int srccn, const DevMem2D& dst, int bidx, cudaStream_t stream)
{
typedef void (*RGB2Gray_caller_t)(const DevMem2D& src, const DevMem2D& dst, int bidx, cudaStream_t stream);
RGB2Gray_caller_t RGB2Gray_callers[] = {RGB2Gray_caller<float, 3>, RGB2Gray_caller<float, 4>};
RGB2Gray_callers[srccn - 3](src, dst, bidx, stream);
}
template <int GREEN_BITS>
void RGB5x52Gray_caller(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream)
{
@ -784,7 +640,6 @@ namespace imgproc
dst.z = saturate_cast<T>(Cb);
}
};
template<> struct RGB2YCrCbConverter<float>
{
typedef typename TypeVec<float, 3>::vec_t dst_t;
@ -832,7 +687,6 @@ namespace imgproc
dst[bidx^2] = saturate_cast<T>(r);
}
};
template <> struct YCrCb2RGBConvertor<float>
{
typedef typename TypeVec<float, 3>::vec_t src_t;
@ -982,185 +836,194 @@ namespace cv { namespace gpu { namespace improc
////////////////////////////////////// RGB <-> XYZ ///////////////////////////////////////
//namespace imgproc
//{
// static const float sRGB2XYZ_D65[] =
// {
// 0.412453f, 0.357580f, 0.180423f,
// 0.212671f, 0.715160f, 0.072169f,
// 0.019334f, 0.119193f, 0.950227f
// };
//
// static const float XYZ2sRGB_D65[] =
// {
// 3.240479f, -1.53715f, -0.498535f,
// -0.969256f, 1.875991f, 0.041556f,
// 0.055648f, -0.204043f, 1.057311f
// };
//
// template<typename _Tp> struct RGB2XYZ_f
// {
// typedef _Tp channel_type;
//
// RGB2XYZ_f(int _srccn, int blueIdx, const float* _coeffs) : srccn(_srccn)
// {
// memcpy(coeffs, _coeffs ? _coeffs : sRGB2XYZ_D65, 9*sizeof(coeffs[0]));
// if(blueIdx == 0)
// {
// std::swap(coeffs[0], coeffs[2]);
// std::swap(coeffs[3], coeffs[5]);
// std::swap(coeffs[6], coeffs[8]);
// }
// }
// void operator()(const _Tp* src, _Tp* dst, int n) const
// {
// int scn = srccn;
// float C0 = coeffs[0], C1 = coeffs[1], C2 = coeffs[2],
// C3 = coeffs[3], C4 = coeffs[4], C5 = coeffs[5],
// C6 = coeffs[6], C7 = coeffs[7], C8 = coeffs[8];
//
// n *= 3;
// for(int i = 0; i < n; i += 3, src += scn)
// {
// _Tp X = saturate_cast<_Tp>(src[0]*C0 + src[1]*C1 + src[2]*C2);
// _Tp Y = saturate_cast<_Tp>(src[0]*C3 + src[1]*C4 + src[2]*C5);
// _Tp Z = saturate_cast<_Tp>(src[0]*C6 + src[1]*C7 + src[2]*C8);
// dst[i] = X; dst[i+1] = Y; dst[i+2] = Z;
// }
// }
// int srccn;
// float coeffs[9];
// };
//
// template<typename _Tp> struct RGB2XYZ_i
// {
// typedef _Tp channel_type;
//
// RGB2XYZ_i(int _srccn, int blueIdx, const float* _coeffs) : srccn(_srccn)
// {
// static const int coeffs0[] =
// {
// 1689, 1465, 739,
// 871, 2929, 296,
// 79, 488, 3892
// };
// for( int i = 0; i < 9; i++ )
// coeffs[i] = _coeffs ? cvRound(_coeffs[i]*(1 << xyz_shift)) : coeffs0[i];
// if(blueIdx == 0)
// {
// std::swap(coeffs[0], coeffs[2]);
// std::swap(coeffs[3], coeffs[5]);
// std::swap(coeffs[6], coeffs[8]);
// }
// }
// void operator()(const _Tp* src, _Tp* dst, int n) const
// {
// int scn = srccn;
// int C0 = coeffs[0], C1 = coeffs[1], C2 = coeffs[2],
// C3 = coeffs[3], C4 = coeffs[4], C5 = coeffs[5],
// C6 = coeffs[6], C7 = coeffs[7], C8 = coeffs[8];
// n *= 3;
// for(int i = 0; i < n; i += 3, src += scn)
// {
// int X = CV_DESCALE(src[0]*C0 + src[1]*C1 + src[2]*C2, xyz_shift);
// int Y = CV_DESCALE(src[0]*C3 + src[1]*C4 + src[2]*C5, xyz_shift);
// int Z = CV_DESCALE(src[0]*C6 + src[1]*C7 + src[2]*C8, xyz_shift);
// dst[i] = saturate_cast<_Tp>(X); dst[i+1] = saturate_cast<_Tp>(Y);
// dst[i+2] = saturate_cast<_Tp>(Z);
// }
// }
// int srccn;
// int coeffs[9];
// };
//
// template<typename _Tp> struct XYZ2RGB_f
// {
// typedef _Tp channel_type;
//
// XYZ2RGB_f(int _dstcn, int _blueIdx, const float* _coeffs)
// : dstcn(_dstcn), blueIdx(_blueIdx)
// {
// memcpy(coeffs, _coeffs ? _coeffs : XYZ2sRGB_D65, 9*sizeof(coeffs[0]));
// if(blueIdx == 0)
// {
// std::swap(coeffs[0], coeffs[6]);
// std::swap(coeffs[1], coeffs[7]);
// std::swap(coeffs[2], coeffs[8]);
// }
// }
//
// void operator()(const _Tp* src, _Tp* dst, int n) const
// {
// int dcn = dstcn;
// _Tp alpha = ColorChannel<_Tp>::max();
// float C0 = coeffs[0], C1 = coeffs[1], C2 = coeffs[2],
// C3 = coeffs[3], C4 = coeffs[4], C5 = coeffs[5],
// C6 = coeffs[6], C7 = coeffs[7], C8 = coeffs[8];
// n *= 3;
// for(int i = 0; i < n; i += 3, dst += dcn)
// {
// _Tp B = saturate_cast<_Tp>(src[i]*C0 + src[i+1]*C1 + src[i+2]*C2);
// _Tp G = saturate_cast<_Tp>(src[i]*C3 + src[i+1]*C4 + src[i+2]*C5);
// _Tp R = saturate_cast<_Tp>(src[i]*C6 + src[i+1]*C7 + src[i+2]*C8);
// dst[0] = B; dst[1] = G; dst[2] = R;
// if( dcn == 4 )
// dst[3] = alpha;
// }
// }
// int dstcn, blueIdx;
// float coeffs[9];
// };
//
// template<typename _Tp> struct XYZ2RGB_i
// {
// typedef _Tp channel_type;
//
// XYZ2RGB_i(int _dstcn, int _blueIdx, const int* _coeffs)
// : dstcn(_dstcn), blueIdx(_blueIdx)
// {
// static const int coeffs0[] =
// {
// 13273, -6296, -2042,
// -3970, 7684, 170,
// 228, -836, 4331
// };
// for(int i = 0; i < 9; i++)
// coeffs[i] = _coeffs ? cvRound(_coeffs[i]*(1 << xyz_shift)) : coeffs0[i];
//
// if(blueIdx == 0)
// {
// std::swap(coeffs[0], coeffs[6]);
// std::swap(coeffs[1], coeffs[7]);
// std::swap(coeffs[2], coeffs[8]);
// }
// }
// void operator()(const _Tp* src, _Tp* dst, int n) const
// {
// int dcn = dstcn;
// _Tp alpha = ColorChannel<_Tp>::max();
// int C0 = coeffs[0], C1 = coeffs[1], C2 = coeffs[2],
// C3 = coeffs[3], C4 = coeffs[4], C5 = coeffs[5],
// C6 = coeffs[6], C7 = coeffs[7], C8 = coeffs[8];
// n *= 3;
// for(int i = 0; i < n; i += 3, dst += dcn)
// {
// int B = CV_DESCALE(src[i]*C0 + src[i+1]*C1 + src[i+2]*C2, xyz_shift);
// int G = CV_DESCALE(src[i]*C3 + src[i+1]*C4 + src[i+2]*C5, xyz_shift);
// int R = CV_DESCALE(src[i]*C6 + src[i+1]*C7 + src[i+2]*C8, xyz_shift);
// dst[0] = saturate_cast<_Tp>(B); dst[1] = saturate_cast<_Tp>(G);
// dst[2] = saturate_cast<_Tp>(R);
// if( dcn == 4 )
// dst[3] = alpha;
// }
// }
// int dstcn, blueIdx;
// int coeffs[9];
// };
//}
//
//namespace cv { namespace gpu { namespace impl
//{
//}}}
namespace imgproc
{
__constant__ float cXYZ_D65f[9];
__constant__ int cXYZ_D65i[9];
template <typename T> struct RGB2XYZConvertor
{
typedef typename TypeVec<T, 3>::vec_t dst_t;
static __device__ dst_t cvt(const T* src)
{
dst_t dst;
dst.x = saturate_cast<T>(CV_DESCALE(src[0] * cXYZ_D65i[0] + src[1] * cXYZ_D65i[1] + src[2] * cXYZ_D65i[2], xyz_shift));
dst.y = saturate_cast<T>(CV_DESCALE(src[0] * cXYZ_D65i[3] + src[1] * cXYZ_D65i[4] + src[2] * cXYZ_D65i[5], xyz_shift));
dst.z = saturate_cast<T>(CV_DESCALE(src[0] * cXYZ_D65i[6] + src[1] * cXYZ_D65i[7] + src[2] * cXYZ_D65i[8], xyz_shift));
return dst;
}
};
template <> struct RGB2XYZConvertor<float>
{
typedef typename TypeVec<float, 3>::vec_t dst_t;
static __device__ dst_t cvt(const float* src)
{
dst_t dst;
dst.x = src[0] * cXYZ_D65f[0] + src[1] * cXYZ_D65f[1] + src[2] * cXYZ_D65f[2];
dst.y = src[0] * cXYZ_D65f[3] + src[1] * cXYZ_D65f[4] + src[2] * cXYZ_D65f[5];
dst.z = src[0] * cXYZ_D65f[6] + src[1] * cXYZ_D65f[7] + src[2] * cXYZ_D65f[8];
return dst;
}
};
template <int SRCCN, typename T>
__global__ void RGB2XYZ(const uchar* src_, size_t src_step, uchar* dst_, size_t dst_step, int rows, int cols)
{
typedef typename TypeVec<T, SRCCN>::vec_t src_t;
typedef typename TypeVec<T, 3>::vec_t dst_t;
const int x = blockDim.x * blockIdx.x + threadIdx.x;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
if (y < rows && x < cols)
{
src_t src = *(const src_t*)(src_ + y * src_step + x * SRCCN * sizeof(T));
*(dst_t*)(dst_ + y * dst_step + x * 3 * sizeof(T)) = RGB2XYZConvertor<T>::cvt((const T*)(&src));
}
}
template <typename T> struct XYZ2RGBConvertor
{
typedef typename TypeVec<T, 3>::vec_t src_t;
static __device__ void cvt(const src_t& src, T* dst)
{
dst[0] = saturate_cast<T>(CV_DESCALE(src.x * cXYZ_D65i[0] + src.y * cXYZ_D65i[1] + src.z * cXYZ_D65i[2], xyz_shift));
dst[1] = saturate_cast<T>(CV_DESCALE(src.x * cXYZ_D65i[3] + src.y * cXYZ_D65i[4] + src.z * cXYZ_D65i[5], xyz_shift));
dst[2] = saturate_cast<T>(CV_DESCALE(src.x * cXYZ_D65i[6] + src.y * cXYZ_D65i[7] + src.z * cXYZ_D65i[8], xyz_shift));
}
};
template <> struct XYZ2RGBConvertor<float>
{
typedef typename TypeVec<float, 3>::vec_t src_t;
static __device__ void cvt(const src_t& src, float* dst)
{
dst[0] = src.x * cXYZ_D65f[0] + src.y * cXYZ_D65f[1] + src.z * cXYZ_D65f[2];
dst[1] = src.x * cXYZ_D65f[3] + src.y * cXYZ_D65f[4] + src.z * cXYZ_D65f[5];
dst[2] = src.x * cXYZ_D65f[6] + src.y * cXYZ_D65f[7] + src.z * cXYZ_D65f[8];
}
};
template <int DSTCN, typename T>
__global__ void XYZ2RGB(const uchar* src_, size_t src_step, uchar* dst_, size_t dst_step, int rows, int cols)
{
typedef typename TypeVec<T, 3>::vec_t src_t;
typedef typename TypeVec<T, DSTCN>::vec_t dst_t;
const int x = blockDim.x * blockIdx.x + threadIdx.x;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
if (y < rows && x < cols)
{
src_t src = *(const src_t*)(src_ + y * src_step + x * 3 * sizeof(T));
dst_t dst;
XYZ2RGBConvertor<T>::cvt(src, (T*)(&dst));
setAlpha(dst, ColorChannel<T>::max());
*(dst_t*)(dst_ + y * dst_step + x * DSTCN * sizeof(T)) = dst;
}
}
}
namespace cv { namespace gpu { namespace improc
{
template <typename T, int SRCCN>
void RGB2XYZ_caller(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream)
{
dim3 threads(32, 8, 1);
dim3 grid(1, 1, 1);
grid.x = divUp(src.cols, threads.x);
grid.y = divUp(src.rows, threads.y);
imgproc::RGB2XYZ<SRCCN, T><<<grid, threads, 0, stream>>>(src.ptr, src.step,
dst.ptr, dst.step, src.rows, src.cols);
if (stream == 0)
cudaSafeCall( cudaThreadSynchronize() );
}
void RGB2XYZ_gpu_8u(const DevMem2D& src, int srccn, const DevMem2D& dst, const int* coeffs, cudaStream_t stream)
{
typedef void (*RGB2XYZ_caller_t)(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream);
static const RGB2XYZ_caller_t RGB2XYZ_callers[] = {RGB2XYZ_caller<uchar, 3>, RGB2XYZ_caller<uchar, 4>};
cudaSafeCall( cudaMemcpyToSymbol(imgproc::cXYZ_D65i, coeffs, 9 * sizeof(int)) );
RGB2XYZ_callers[srccn-3](src, dst, stream);
}
void RGB2XYZ_gpu_16u(const DevMem2D& src, int srccn, const DevMem2D& dst, const int* coeffs, cudaStream_t stream)
{
typedef void (*RGB2XYZ_caller_t)(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream);
static const RGB2XYZ_caller_t RGB2XYZ_callers[] = {RGB2XYZ_caller<unsigned short, 3>, RGB2XYZ_caller<unsigned short, 4>};
cudaSafeCall( cudaMemcpyToSymbol(imgproc::cXYZ_D65i, coeffs, 9 * sizeof(int)) );
RGB2XYZ_callers[srccn-3](src, dst, stream);
}
void RGB2XYZ_gpu_32f(const DevMem2D& src, int srccn, const DevMem2D& dst, const float* coeffs, cudaStream_t stream)
{
typedef void (*RGB2XYZ_caller_t)(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream);
static const RGB2XYZ_caller_t RGB2XYZ_callers[] = {RGB2XYZ_caller<float, 3>, RGB2XYZ_caller<float, 4>};
cudaSafeCall( cudaMemcpyToSymbol(imgproc::cXYZ_D65f, coeffs, 9 * sizeof(float)) );
RGB2XYZ_callers[srccn-3](src, dst, stream);
}
template <typename T, int DSTCN>
void XYZ2RGB_caller(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream)
{
dim3 threads(32, 8, 1);
dim3 grid(1, 1, 1);
grid.x = divUp(src.cols, threads.x);
grid.y = divUp(src.rows, threads.y);
imgproc::XYZ2RGB<DSTCN, T><<<grid, threads, 0, stream>>>(src.ptr, src.step,
dst.ptr, dst.step, src.rows, src.cols);
if (stream == 0)
cudaSafeCall( cudaThreadSynchronize() );
}
void XYZ2RGB_gpu_8u(const DevMem2D& src, const DevMem2D& dst, int dstcn, const int* coeffs, cudaStream_t stream)
{
typedef void (*XYZ2RGB_caller_t)(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream);
static const XYZ2RGB_caller_t XYZ2RGB_callers[] = {XYZ2RGB_caller<uchar, 3>, XYZ2RGB_caller<uchar, 4>};
cudaSafeCall( cudaMemcpyToSymbol(imgproc::cXYZ_D65i, coeffs, 9 * sizeof(int)) );
XYZ2RGB_callers[dstcn-3](src, dst, stream);
}
void XYZ2RGB_gpu_16u(const DevMem2D& src, const DevMem2D& dst, int dstcn, const int* coeffs, cudaStream_t stream)
{
typedef void (*XYZ2RGB_caller_t)(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream);
static const XYZ2RGB_caller_t XYZ2RGB_callers[] = {XYZ2RGB_caller<unsigned short, 3>, XYZ2RGB_caller<unsigned short, 4>};
cudaSafeCall( cudaMemcpyToSymbol(imgproc::cXYZ_D65i, coeffs, 9 * sizeof(int)) );
XYZ2RGB_callers[dstcn-3](src, dst, stream);
}
void XYZ2RGB_gpu_32f(const DevMem2D& src, const DevMem2D& dst, int dstcn, const float* coeffs, cudaStream_t stream)
{
typedef void (*XYZ2RGB_caller_t)(const DevMem2D& src, const DevMem2D& dst, cudaStream_t stream);
static const XYZ2RGB_caller_t XYZ2RGB_callers[] = {XYZ2RGB_caller<float, 3>, XYZ2RGB_caller<float, 4>};
cudaSafeCall( cudaMemcpyToSymbol(imgproc::cXYZ_D65f, coeffs, 9 * sizeof(float)) );
XYZ2RGB_callers[dstcn-3](src, dst, stream);
}
}}}
////////////////////////////////////// RGB <-> HSV ///////////////////////////////////////

93
modules/gpu/src/filtering_npp.cpp
View File

@ -51,6 +51,9 @@ using namespace cv::gpu;
void cv::gpu::erode( const GpuMat&, GpuMat&, const Mat&, Point, int) { throw_nogpu(); }
void cv::gpu::dilate( const GpuMat&, GpuMat&, const Mat&, Point, int) { throw_nogpu(); }
void cv::gpu::morphologyEx( const GpuMat&, GpuMat&, int, const Mat&, Point, int) { throw_nogpu(); }
void cv::gpu::boxFilter(const GpuMat&, GpuMat&, Size, Point) { throw_nogpu(); }
void cv::gpu::sumWindowColumn(const GpuMat&, GpuMat&, int, int) { throw_nogpu(); }
void cv::gpu::sumWindowRow(const GpuMat&, GpuMat&, int, int) { throw_nogpu(); }
#else
@ -64,10 +67,10 @@ namespace
CV_Assert(src.type() == CV_8U || src.type() == CV_8UC4);
CV_Assert(kernel.type() == CV_8U && (kernel.cols & 1) != 0 && (kernel.rows & 1) != 0);
if (anchor.x == -1)
anchor.x = 0;
if (anchor.y == -1)
anchor.y = 0;
if( anchor.x == -1 )
anchor.x = kernel.cols / 2;
if( anchor.y == -1 )
anchor.y = kernel.rows / 2;
// in NPP for Cuda 3.1 only such anchor is supported.
CV_Assert(anchor.x == 0 && anchor.y == 0);
@ -94,10 +97,16 @@ namespace
anc.y = anchor.y;
dst.create(src.size(), src.type());
GpuMat dstBuf;
if (iterations > 1)
dstBuf.create(src.size(), src.type());
nppSafeCall( func(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, sz, gpu_krnl.ptr<Npp8u>(), mask_sz, anc) );
for(int i = 1; i < iterations; ++i)
nppSafeCall( func(dst.ptr<Npp8u>(), dst.step, dst.ptr<Npp8u>(), dst.step, sz, gpu_krnl.ptr<Npp8u>(), mask_sz, anc) );
{
dst.swap(dstBuf);
nppSafeCall( func(dstBuf.ptr<Npp8u>(), dstBuf.step, dst.ptr<Npp8u>(), dst.step, sz, gpu_krnl.ptr<Npp8u>(), mask_sz, anc) );
}
}
}
@ -154,4 +163,78 @@ void cv::gpu::morphologyEx( const GpuMat& src, GpuMat& dst, int op, const Mat& k
}
}
////////////////////////////////////////////////////////////////////////
// boxFilter
void cv::gpu::boxFilter(const GpuMat& src, GpuMat& dst, Size ksize, Point anchor)
{
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC4);
CV_Assert(ksize.height == 3 || ksize.height == 5 || ksize.height == 7);
CV_Assert(ksize.height == ksize.width);
if (anchor.x == -1)
anchor.x = 0;
if (anchor.y == -1)
anchor.y = 0;
CV_Assert(anchor.x == 0 && anchor.y == 0);
dst.create(src.size(), src.type());
NppiSize srcsz;
srcsz.height = src.rows;
srcsz.width = src.cols;
NppiSize masksz;
masksz.height = ksize.height;
masksz.width = ksize.width;
NppiPoint anc;
anc.x = anchor.x;
anc.y = anchor.y;
if (src.type() == CV_8UC1)
{
nppSafeCall( nppiFilterBox_8u_C1R(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, srcsz, masksz, anc) );
}
else
{
nppSafeCall( nppiFilterBox_8u_C4R(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, srcsz, masksz, anc) );
}
}
////////////////////////////////////////////////////////////////////////
// sumWindow Filter
namespace
{
typedef NppStatus (*nppSumWindow_t)(const Npp8u * pSrc, Npp32s nSrcStep,
Npp32f * pDst, Npp32s nDstStep, NppiSize oROI,
Npp32s nMaskSize, Npp32s nAnchor);
inline void sumWindowCaller(nppSumWindow_t func, const GpuMat& src, GpuMat& dst, int ksize, int anchor)
{
CV_Assert(src.type() == CV_8UC1);
if (anchor == -1)
anchor = ksize / 2;
NppiSize sz;
sz.width = src.cols;
sz.height = src.rows;
dst.create(src.size(), CV_32FC1);
nppSafeCall( func(src.ptr<Npp8u>(), src.step, dst.ptr<Npp32f>(), dst.step, sz, ksize, anchor) );
}
}
void cv::gpu::sumWindowColumn(const GpuMat& src, GpuMat& dst, int ksize, int anchor)
{
sumWindowCaller(nppiSumWindowColumn_8u32f_C1R, src, dst, ksize, anchor);
}
void cv::gpu::sumWindowRow(const GpuMat& src, GpuMat& dst, int ksize, int anchor)
{
sumWindowCaller(nppiSumWindowRow_8u32f_C1R, src, dst, ksize, anchor);
}
#endif

188
modules/gpu/src/imgproc_gpu.cpp
View File

@ -62,7 +62,6 @@ void cv::gpu::warpAffine(const GpuMat&, GpuMat&, const Mat&, Size, int) { throw_
void cv::gpu::warpPerspective(const GpuMat&, GpuMat&, const Mat&, Size, int) { throw_nogpu(); }
void cv::gpu::rotate(const GpuMat&, GpuMat&, Size, double, double, double, int) { throw_nogpu(); }
void cv::gpu::integral(GpuMat&, GpuMat&, GpuMat&) { throw_nogpu(); }
void cv::gpu::boxFilter(const GpuMat&, GpuMat&, Size, Point) { throw_nogpu(); }
#else /* !defined (HAVE_CUDA) */
@ -88,14 +87,14 @@ namespace cv { namespace gpu
void RGB5x52RGB_gpu(const DevMem2D& src, int green_bits, const DevMem2D& dst, int dstcn, int bidx, cudaStream_t stream);
void RGB2RGB5x5_gpu(const DevMem2D& src, int srccn, const DevMem2D& dst, int green_bits, int bidx, cudaStream_t stream);
void Gray2RGB_gpu(const DevMem2D& src, const DevMem2D& dst, int dstcn, cudaStream_t stream);
void Gray2RGB_gpu(const DevMem2D_<ushort>& src, const DevMem2D_<ushort>& dst, int dstcn, cudaStream_t stream);
void Gray2RGB_gpu(const DevMem2Df& src, const DevMem2Df& dst, int dstcn, cudaStream_t stream);
void Gray2RGB_gpu_8u(const DevMem2D& src, const DevMem2D& dst, int dstcn, cudaStream_t stream);
void Gray2RGB_gpu_16u(const DevMem2D& src, const DevMem2D& dst, int dstcn, cudaStream_t stream);
void Gray2RGB_gpu_32f(const DevMem2D& src, const DevMem2D& dst, int dstcn, cudaStream_t stream);
void Gray2RGB5x5_gpu(const DevMem2D& src, const DevMem2D& dst, int green_bits, cudaStream_t stream);
void RGB2Gray_gpu(const DevMem2D& src, int srccn, const DevMem2D& dst, int bidx, cudaStream_t stream);
void RGB2Gray_gpu(const DevMem2D_<ushort>& src, int srccn, const DevMem2D_<ushort>& dst, int bidx, cudaStream_t stream);
void RGB2Gray_gpu(const DevMem2Df& src, int srccn, const DevMem2Df& dst, int bidx, cudaStream_t stream);
void RGB2Gray_gpu_8u(const DevMem2D& src, int srccn, const DevMem2D& dst, int bidx, cudaStream_t stream);
void RGB2Gray_gpu_16u(const DevMem2D& src, int srccn, const DevMem2D& dst, int bidx, cudaStream_t stream);
void RGB2Gray_gpu_32f(const DevMem2D& src, int srccn, const DevMem2D& dst, int bidx, cudaStream_t stream);
void RGB5x52Gray_gpu(const DevMem2D& src, int green_bits, const DevMem2D& dst, cudaStream_t stream);
void RGB2YCrCb_gpu_8u(const DevMem2D& src, int srccn, const DevMem2D& dst, int bidx, const int* coeffs, cudaStream_t stream);
@ -105,6 +104,14 @@ namespace cv { namespace gpu
void YCrCb2RGB_gpu_8u(const DevMem2D& src, const DevMem2D& dst, int dstcn, int bidx, const int* coeffs, cudaStream_t stream);
void YCrCb2RGB_gpu_16u(const DevMem2D& src, const DevMem2D& dst, int dstcn, int bidx, const int* coeffs, cudaStream_t stream);
void YCrCb2RGB_gpu_32f(const DevMem2D& src, const DevMem2D& dst, int dstcn, int bidx, const float* coeffs, cudaStream_t stream);
void RGB2XYZ_gpu_8u(const DevMem2D& src, int srccn, const DevMem2D& dst, const int* coeffs, cudaStream_t stream);
void RGB2XYZ_gpu_16u(const DevMem2D& src, int srccn, const DevMem2D& dst, const int* coeffs, cudaStream_t stream);
void RGB2XYZ_gpu_32f(const DevMem2D& src, int srccn, const DevMem2D& dst, const float* coeffs, cudaStream_t stream);
void XYZ2RGB_gpu_8u(const DevMem2D& src, const DevMem2D& dst, int dstcn, const int* coeffs, cudaStream_t stream);
void XYZ2RGB_gpu_16u(const DevMem2D& src, const DevMem2D& dst, int dstcn, const int* coeffs, cudaStream_t stream);
void XYZ2RGB_gpu_32f(const DevMem2D& src, const DevMem2D& dst, int dstcn, const float* coeffs, cudaStream_t stream);
}
}}
@ -312,11 +319,11 @@ namespace
bidx = code == CV_BGR2GRAY || code == CV_BGRA2GRAY ? 0 : 2;
if( depth == CV_8U )
improc::RGB2Gray_gpu((DevMem2D)src, scn, (DevMem2D)out, bidx, stream);
improc::RGB2Gray_gpu_8u(src, scn, out, bidx, stream);
else if( depth == CV_16U )
improc::RGB2Gray_gpu((DevMem2D_<unsigned short>)src, scn, (DevMem2D_<unsigned short>)out, bidx, stream);
improc::RGB2Gray_gpu_16u(src, scn, out, bidx, stream);
else
improc::RGB2Gray_gpu((DevMem2Df)src, scn, (DevMem2Df)out, bidx, stream);
improc::RGB2Gray_gpu_32f(src, scn, out, bidx, stream);
break;
case CV_BGR5652GRAY: case CV_BGR5552GRAY:
@ -335,11 +342,11 @@ namespace
out.create(sz, CV_MAKETYPE(depth, dcn));
if( depth == CV_8U )
improc::Gray2RGB_gpu((DevMem2D)src, (DevMem2D)out, dcn, stream);
improc::Gray2RGB_gpu_8u(src, out, dcn, stream);
else if( depth == CV_16U )
improc::Gray2RGB_gpu((DevMem2D_<unsigned short>)src, (DevMem2D_<unsigned short>)out, dcn, stream);
improc::Gray2RGB_gpu_16u(src, out, dcn, stream);
else
improc::Gray2RGB_gpu((DevMem2Df)src, (DevMem2Df)out, dcn, stream);
improc::Gray2RGB_gpu_32f(src, out, dcn, stream);
break;
case CV_GRAY2BGR565: case CV_GRAY2BGR555:
@ -414,34 +421,97 @@ namespace
}
break;
//case CV_BGR2XYZ: case CV_RGB2XYZ:
// CV_Assert( scn == 3 || scn == 4 );
// bidx = code == CV_BGR2XYZ ? 0 : 2;
//
// dst.create(sz, CV_MAKETYPE(depth, 3));
//
// if( depth == CV_8U )
// CvtColorLoop(src, dst, RGB2XYZ_i<uchar>(scn, bidx, 0));
// else if( depth == CV_16U )
// CvtColorLoop(src, dst, RGB2XYZ_i<ushort>(scn, bidx, 0));
// else
// CvtColorLoop(src, dst, RGB2XYZ_f<float>(scn, bidx, 0));
// break;
case CV_BGR2XYZ: case CV_RGB2XYZ:
{
CV_Assert( scn == 3 || scn == 4 );
bidx = code == CV_BGR2XYZ ? 0 : 2;
static const float RGB2XYZ_D65f[] =
{
0.412453f, 0.357580f, 0.180423f,
0.212671f, 0.715160f, 0.072169f,
0.019334f, 0.119193f, 0.950227f
};
static const int RGB2XYZ_D65i[] =
{
1689, 1465, 739,
871, 2929, 296,
79, 488, 3892
};
float coeffs_f[9];
int coeffs_i[9];
::memcpy(coeffs_f, RGB2XYZ_D65f, 9 * sizeof(float));
::memcpy(coeffs_i, RGB2XYZ_D65i, 9 * sizeof(int));
if (bidx == 0)
{
std::swap(coeffs_f[0], coeffs_f[2]);
std::swap(coeffs_f[3], coeffs_f[5]);
std::swap(coeffs_f[6], coeffs_f[8]);
std::swap(coeffs_i[0], coeffs_i[2]);
std::swap(coeffs_i[3], coeffs_i[5]);
std::swap(coeffs_i[6], coeffs_i[8]);
}
out.create(sz, CV_MAKETYPE(depth, 3));
if( depth == CV_8U )
improc::RGB2XYZ_gpu_8u(src, scn, out, coeffs_i, stream);
else if( depth == CV_16U )
improc::RGB2XYZ_gpu_16u(src, scn, out, coeffs_i, stream);
else
improc::RGB2XYZ_gpu_32f(src, scn, out, coeffs_f, stream);
}
break;
//case CV_XYZ2BGR: case CV_XYZ2RGB:
// if( dcn <= 0 ) dcn = 3;
// CV_Assert( scn == 3 && (dcn == 3 || dcn == 4) );
// bidx = code == CV_XYZ2BGR ? 0 : 2;
//
// dst.create(sz, CV_MAKETYPE(depth, dcn));
//
// if( depth == CV_8U )
// CvtColorLoop(src, dst, XYZ2RGB_i<uchar>(dcn, bidx, 0));
// else if( depth == CV_16U )
// CvtColorLoop(src, dst, XYZ2RGB_i<ushort>(dcn, bidx, 0));
// else
// CvtColorLoop(src, dst, XYZ2RGB_f<float>(dcn, bidx, 0));
// break;
case CV_XYZ2BGR: case CV_XYZ2RGB:
{
if (dcn <= 0) dcn = 3;
CV_Assert( scn == 3 && (dcn == 3 || dcn == 4) );
bidx = code == CV_XYZ2BGR ? 0 : 2;
static const float XYZ2sRGB_D65f[] =
{
3.240479f, -1.53715f, -0.498535f,
-0.969256f, 1.875991f, 0.041556f,
0.055648f, -0.204043f, 1.057311f
};
static const int XYZ2sRGB_D65i[] =
{
13273, -6296, -2042,
-3970, 7684, 170,
228, -836, 4331
};
float coeffs_f[9];
int coeffs_i[9];
::memcpy(coeffs_f, XYZ2sRGB_D65f, 9 * sizeof(float));
::memcpy(coeffs_i, XYZ2sRGB_D65i, 9 * sizeof(int));
if (bidx == 0)
{
std::swap(coeffs_f[0], coeffs_f[6]);
std::swap(coeffs_f[1], coeffs_f[7]);
std::swap(coeffs_f[2], coeffs_f[8]);
std::swap(coeffs_i[0], coeffs_i[6]);
std::swap(coeffs_i[1], coeffs_i[7]);
std::swap(coeffs_i[2], coeffs_i[8]);
}
out.create(sz, CV_MAKETYPE(depth, dcn));
if( depth == CV_8U )
improc::XYZ2RGB_gpu_8u(src, out, dcn, coeffs_i, stream);
else if( depth == CV_16U )
improc::XYZ2RGB_gpu_16u(src, out, dcn, coeffs_i, stream);
else
improc::XYZ2RGB_gpu_32f(src, out, dcn, coeffs_f, stream);
}
break;
//case CV_BGR2HSV: case CV_RGB2HSV: case CV_BGR2HSV_FULL: case CV_RGB2HSV_FULL:
//case CV_BGR2HLS: case CV_RGB2HLS: case CV_BGR2HLS_FULL: case CV_RGB2HLS_FULL:
@ -916,42 +986,4 @@ void cv::gpu::integral(GpuMat& src, GpuMat& sum, GpuMat& sqsum)
sum.step, sqsum.ptr<Npp32f>(), sqsum.step, sz, 0, 0.0f, h) );
}
////////////////////////////////////////////////////////////////////////
// boxFilter
void cv::gpu::boxFilter(const GpuMat& src, GpuMat& dst, Size ksize, Point anchor)
{
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC4);
CV_Assert(ksize.height == 3 || ksize.height == 5 || ksize.height == 7);
CV_Assert(ksize.height == ksize.width);
if (anchor.x == -1)
anchor.x = 0;
if (anchor.y == -1)
anchor.y = 0;
CV_Assert(anchor.x == 0 && anchor.y == 0);
dst.create(src.size(), src.type());
NppiSize srcsz;
srcsz.height = src.rows;
srcsz.width = src.cols;
NppiSize masksz;
masksz.height = ksize.height;
masksz.width = ksize.width;
NppiPoint anc;
anc.x = anchor.x;
anc.y = anchor.y;
if (src.type() == CV_8UC1)
{
nppSafeCall( nppiFilterBox_8u_C1R(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, srcsz, masksz, anc) );
}
else
{
nppSafeCall( nppiFilterBox_8u_C4R(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, srcsz, masksz, anc) );
}
}
#endif /* !defined (HAVE_CUDA) */

48
modules/gpu/src/matrix_operations.cpp
View File

@ -132,7 +132,8 @@ void cv::gpu::GpuMat::convertTo( GpuMat& dst, int rtype, double alpha, double be
rtype = type();
else
rtype = CV_MAKETYPE(CV_MAT_DEPTH(rtype), channels());
int stype = type();
int sdepth = depth(), ddepth = CV_MAT_DEPTH(rtype);
if( sdepth == ddepth && noScale )
{
@ -146,7 +147,50 @@ void cv::gpu::GpuMat::convertTo( GpuMat& dst, int rtype, double alpha, double be
psrc = &(temp = *this);
dst.create( size(), rtype );
matrix_operations::convert_to(*psrc, sdepth, dst, ddepth, psrc->channels(), alpha, beta);
if (!noScale)
matrix_operations::convert_to(*psrc, sdepth, dst, ddepth, psrc->channels(), alpha, beta);
else
{
NppiSize sz;
sz.width = cols;
sz.height = rows;
if (stype == CV_8UC1 && ddepth == CV_16U)
nppSafeCall( nppiConvert_8u16u_C1R(psrc->ptr<Npp8u>(), psrc->step, dst.ptr<Npp16u>(), dst.step, sz) );
else if (stype == CV_16UC1 && ddepth == CV_8U)
nppSafeCall( nppiConvert_16u8u_C1R(psrc->ptr<Npp16u>(), psrc->step, dst.ptr<Npp8u>(), dst.step, sz) );
else if (stype == CV_8UC4 && ddepth == CV_16U)
nppSafeCall( nppiConvert_8u16u_C4R(psrc->ptr<Npp8u>(), psrc->step, dst.ptr<Npp16u>(), dst.step, sz) );
else if (stype == CV_16UC4 && ddepth == CV_8U)
nppSafeCall( nppiConvert_16u8u_C4R(psrc->ptr<Npp16u>(), psrc->step, dst.ptr<Npp8u>(), dst.step, sz) );
else if (stype == CV_8UC1 && ddepth == CV_16S)
nppSafeCall( nppiConvert_8u16s_C1R(psrc->ptr<Npp8u>(), psrc->step, dst.ptr<Npp16s>(), dst.step, sz) );
else if (stype == CV_16SC1 && ddepth == CV_8U)
nppSafeCall( nppiConvert_16s8u_C1R(psrc->ptr<Npp16s>(), psrc->step, dst.ptr<Npp8u>(), dst.step, sz) );
else if (stype == CV_8UC4 && ddepth == CV_16S)
nppSafeCall( nppiConvert_8u16s_C4R(psrc->ptr<Npp8u>(), psrc->step, dst.ptr<Npp16s>(), dst.step, sz) );
else if (stype == CV_16SC4 && ddepth == CV_8U)
nppSafeCall( nppiConvert_16s8u_C4R(psrc->ptr<Npp16s>(), psrc->step, dst.ptr<Npp8u>(), dst.step, sz) );
else if (stype == CV_16SC1 && ddepth == CV_32F)
nppSafeCall( nppiConvert_16s32f_C1R(psrc->ptr<Npp16s>(), psrc->step, dst.ptr<Npp32f>(), dst.step, sz) );
else if (stype == CV_32FC1 && ddepth == CV_16S)
nppSafeCall( nppiConvert_32f16s_C1R(psrc->ptr<Npp32f>(), psrc->step, dst.ptr<Npp16s>(), dst.step, sz, NPP_RND_NEAR) );
else if (stype == CV_8UC1 && ddepth == CV_32F)
nppSafeCall( nppiConvert_8u32f_C1R(psrc->ptr<Npp8u>(), psrc->step, dst.ptr<Npp32f>(), dst.step, sz) );
else if (stype == CV_32FC1 && ddepth == CV_8U)
nppSafeCall( nppiConvert_32f8u_C1R(psrc->ptr<Npp32f>(), psrc->step, dst.ptr<Npp8u>(), dst.step, sz, NPP_RND_NEAR) );
else if (stype == CV_16UC1 && ddepth == CV_32F)
nppSafeCall( nppiConvert_16u32f_C1R(psrc->ptr<Npp16u>(), psrc->step, dst.ptr<Npp32f>(), dst.step, sz) );
else if (stype == CV_32FC1 && ddepth == CV_16U)
nppSafeCall( nppiConvert_32f16u_C1R(psrc->ptr<Npp32f>(), psrc->step, dst.ptr<Npp16u>(), dst.step, sz, NPP_RND_NEAR) );
else if (stype == CV_16UC1 && ddepth == CV_32S)
nppSafeCall( nppiConvert_16u32s_C1R(psrc->ptr<Npp16u>(), psrc->step, dst.ptr<Npp32s>(), dst.step, sz) );
else if (stype == CV_16SC1 && ddepth == CV_32S)
nppSafeCall( nppiConvert_16s32s_C1R(psrc->ptr<Npp16s>(), psrc->step, dst.ptr<Npp32s>(), dst.step, sz) );
else
matrix_operations::convert_to(*psrc, sdepth, dst, ddepth, psrc->channels(), 1.0, 0.0);
}
}
GpuMat& GpuMat::operator = (const Scalar& s)

8
tests/gpu/src/gputest_main.cpp
View File

@ -47,12 +47,11 @@ const char* blacklist[] =
{
"GPU-NppImageSum", // crash
"GPU-MatOperatorAsyncCall", // crash
//"GPU-NppErode", // npp func returns error code (CUDA_KERNEL_LAUNCH_ERROR or TEXTURE_BIND_ERROR)
//"GPU-NppDilate", // npp func returns error code (CUDA_KERNEL_LAUNCH_ERROR or TEXTURE_BIND_ERROR)
//"GPU-NppMorphologyEx", // npp func returns error code (CUDA_KERNEL_LAUNCH_ERROR or TEXTURE_BIND_ERROR)
//"GPU-NppErode", // different border interpolation
//"GPU-NppMorphologyEx", // different border interpolation
//"GPU-NppImageDivide", // different round mode
//"GPU-NppImageMeanStdDev", // different precision
//"GPU-NppImageMinNax", // npp bug
//"GPU-NppImageMinNax", // npp bug - don't find min/max near right border
//"GPU-NppImageResize", // different precision in interpolation
//"GPU-NppImageWarpAffine", // different precision in interpolation
//"GPU-NppImageWarpPerspective", // different precision in interpolation
@ -61,6 +60,7 @@ const char* blacklist[] =
//"GPU-NppImageExp", // different precision
//"GPU-NppImageLog", // different precision
//"GPU-NppImageMagnitude", // different precision
//"GPU-NppImageSumWindow", // different border interpolation
0
};

46
tests/gpu/src/imgproc_gpu.cpp
View File

@ -451,6 +451,47 @@ struct CV_GpuNppImageBlurTest : public CV_GpuImageProcTest
}
};
////////////////////////////////////////////////////////////////////////////////
// sumWindow
struct CV_GpuNppImageSumWindowTest : public CV_GpuImageProcTest
{
CV_GpuNppImageSumWindowTest() : CV_GpuImageProcTest( "GPU-NppImageSumWindow", "sumWindow" ) {}
int test(const Mat& img)
{
if (img.type() != CV_8UC1)
{
ts->printf(CvTS::LOG, "\nUnsupported type\n");
return CvTS::OK;
}
int ksizes[] = {3, 5, 7};
int ksizes_num = sizeof(ksizes) / sizeof(int);
int test_res = CvTS::OK;
for (int i = 0; i < ksizes_num; ++i)
{
ts->printf(CvTS::LOG, "\nksize = %d\n", ksizes[i]);
Mat cpudst(img.size(), CV_64FC1, Scalar());
cv::Ptr<cv::BaseRowFilter> ft = cv::getRowSumFilter(CV_8UC1, CV_64FC1, ksizes[i], 0);
for (int y = 0; y < img.rows; ++y)
(*ft)(img.ptr(y), cpudst.ptr(y), img.cols, 1);
cpudst.convertTo(cpudst, CV_32F);
GpuMat gpu1(img);
GpuMat gpudst;
cv::gpu::sumWindowRow(gpu1, gpudst, ksizes[i], 0);
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
test_res = CvTS::FAIL_GENERIC;
}
return test_res;
}
};
////////////////////////////////////////////////////////////////////////////////
// cvtColor
class CV_GpuCvtColorTest : public CvTest
@ -501,11 +542,13 @@ void CV_GpuCvtColorTest::run( int )
int codes[] = { CV_BGR2RGB, CV_RGB2BGRA, CV_BGRA2RGB,
CV_RGB2BGR555, CV_BGR5552BGR, CV_BGR2BGR565, CV_BGR5652RGB,
CV_RGB2YCrCb, CV_YCrCb2BGR, CV_BGR2YUV, CV_YUV2RGB,
CV_RGB2XYZ, CV_XYZ2BGR, CV_BGR2XYZ, CV_XYZ2RGB,
CV_RGB2GRAY, CV_GRAY2BGRA, CV_BGRA2GRAY,
CV_GRAY2BGR555, CV_BGR5552GRAY, CV_GRAY2BGR565, CV_BGR5652GRAY};
const char* codes_str[] = { "CV_BGR2RGB", "CV_RGB2BGRA", "CV_BGRA2RGB",
"CV_RGB2BGR555", "CV_BGR5552BGR", "CV_BGR2BGR565", "CV_BGR5652RGB",
"CV_RGB2YCrCb", "CV_YCrCb2BGR", "CV_BGR2YUV", "CV_YUV2RGB",
"CV_RGB2XYZ", "CV_XYZ2BGR", "CV_BGR2XYZ", "CV_XYZ2RGB",
"CV_RGB2GRAY", "CV_GRAY2BGRA", "CV_BGRA2GRAY",
"CV_GRAY2BGR555", "CV_BGR5552GRAY", "CV_GRAY2BGR565", "CV_BGR5652GRAY"};
int codes_num = sizeof(codes) / sizeof(int);
@ -554,4 +597,5 @@ CV_GpuNppImageWarpAffineTest CV_GpuNppImageWarpAffine_test;
CV_GpuNppImageWarpPerspectiveTest CV_GpuNppImageWarpPerspective_test;
CV_GpuNppImageIntegralTest CV_GpuNppImageIntegral_test;
CV_GpuNppImageBlurTest CV_GpuNppImageBlur_test;
CV_GpuCvtColorTest CV_GpuCvtColor_test;
CV_GpuNppImageSumWindowTest CV_GpuNppImageSumWindow_test;
CV_GpuCvtColorTest CV_GpuCvtColor_test;

22
tests/gpu/src/morf_filters.cpp
View File

@ -69,7 +69,7 @@ protected:
int test8UC4(const Mat& img)
{
cv::Mat img_C4;
cv::Mat img_C4;
cvtColor(img, img_C4, CV_BGR2BGRA);
return test(img_C4);
}
@ -111,7 +111,7 @@ void CV_GpuNppMorphogyTest::run( int )
{
ts->set_failed_test_info(testResult);
return;
}
}
}
catch(const cv::Exception& e)
{
@ -134,10 +134,10 @@ protected:
virtual int test(const Mat& img)
{
GpuMat kernel(Mat::ones(3, 3, CV_8U));
Point anchor(-1, -1);
int iters = 3;
Point anchor(0, 0);
int iters = 1;
cv::Mat cpuRes;
cv::Mat cpuRes, cpuRes1;
cv::erode(img, cpuRes, kernel, anchor, iters);
GpuMat gpuRes;
@ -158,13 +158,13 @@ protected:
virtual int test(const Mat& img)
{
GpuMat kernel(Mat::ones(3, 3, CV_8U));
Point anchor(-1, -1);
int iters = 3;
Point anchor(0, 0);
int iters = 1;
cv::Mat cpuRes;
cv::Mat cpuRes, cpuRes1;
cv::dilate(img, cpuRes, kernel, anchor, iters);
GpuMat gpuRes;
GpuMat gpuRes, gpuRes1;
cv::gpu::dilate(GpuMat(img), gpuRes, kernel, anchor, iters);
return CheckNorm(cpuRes, gpuRes);
@ -186,8 +186,8 @@ protected:
int num = sizeof(ops)/sizeof(ops[0]);
GpuMat kernel(Mat::ones(3, 3, CV_8U));
Point anchor(-1, -1);
int iters = 3;
Point anchor(0, 0);
int iters = 1;
for(int i = 0; i < num; ++i)
{

6
tests/gpu/src/operator_convert_to.cpp
View File

@ -83,8 +83,6 @@ void CV_GpuMatOpConvertToTest::run(int /* start_from */)
const int dst_type = types[j];
cv::RNG rng(*ts->get_rng());
const double alpha = rng.uniform(0.0, 2.0);
const double beta = rng.uniform(-75.0, 75.0);
Mat cpumatsrc(img_size, src_type);
rng.fill(cpumatsrc, RNG::UNIFORM, Scalar::all(0), Scalar::all(300));
@ -93,8 +91,8 @@ void CV_GpuMatOpConvertToTest::run(int /* start_from */)
Mat cpumatdst;
GpuMat gpumatdst;
cpumatsrc.convertTo(cpumatdst, dst_type, alpha, beta);
gpumatsrc.convertTo(gpumatdst, dst_type, alpha, beta);
cpumatsrc.convertTo(cpumatdst, dst_type);
gpumatsrc.convertTo(gpumatdst, dst_type);
double r = norm(cpumatdst, gpumatdst, NORM_INF);
if (r > 1)