generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

added mask support into gpu::minMax

Browse Source
This commit is contained in:
Alexey Spizhevoy
2010-11-29 10:29:21 +00:00
parent bb532239fd
commit 437ac1a2f1
4 changed files with 221 additions and 105 deletions
Download Patch File Download Diff File Expand all files Collapse all files

108
modules/gpu/src/arithm.cpp
View File

@@ -65,8 +65,8 @@ double cv::gpu::norm(const GpuMat&, int) { throw_nogpu(); return 0.0; }
double cv::gpu::norm(const GpuMat&, const GpuMat&, int) { throw_nogpu(); return 0.0; }
void cv::gpu::flip(const GpuMat&, GpuMat&, int) { throw_nogpu(); }
Scalar cv::gpu::sum(const GpuMat&) { throw_nogpu(); return Scalar(); }
void cv::gpu::minMax(const GpuMat&, double*, double*) { throw_nogpu(); }
void cv::gpu::minMax(const GpuMat&, double*, double*, GpuMat&) { throw_nogpu(); }
void cv::gpu::minMax(const GpuMat&, double*, double*, const GpuMat&) { throw_nogpu(); }
void cv::gpu::minMax(const GpuMat&, double*, double*, const GpuMat&, GpuMat&) { throw_nogpu(); }
void cv::gpu::minMaxLoc(const GpuMat&, double*, double*, Point*, Point*) { throw_nogpu(); }
void cv::gpu::minMaxLoc(const GpuMat&, double*, double*, Point*, Point*, GpuMat&, GpuMat&) { throw_nogpu(); }
int cv::gpu::countNonZero(const GpuMat&) { throw_nogpu(); return 0; }
@@ -502,62 +502,68 @@ namespace cv { namespace gpu { namespace mathfunc { namespace minmax {
void min_max_caller(const DevMem2D src, double* minval, double* maxval, PtrStep buf);
template <typename T>
void min_max_caller_2steps(const DevMem2D src, double* minval, double* maxval, PtrStep buf);
void min_max_mask_caller(const DevMem2D src, const PtrStep mask, double* minval, double* maxval, PtrStep buf);
template <typename T>
void min_max_multipass_caller(const DevMem2D src, double* minval, double* maxval, PtrStep buf);
template <typename T>
void min_max_mask_multipass_caller(const DevMem2D src, const PtrStep mask, double* minval, double* maxval, PtrStep buf);
}}}}
void cv::gpu::minMax(const GpuMat& src, double* minVal, double* maxVal)
void cv::gpu::minMax(const GpuMat& src, double* minVal, double* maxVal, const GpuMat& mask)
{
GpuMat buf;
minMax(src, minVal, maxVal, buf);
minMax(src, minVal, maxVal, mask, buf);
}
void cv::gpu::minMax(const GpuMat& src, double* minVal, double* maxVal, GpuMat& buf)
void cv::gpu::minMax(const GpuMat& src, double* minVal, double* maxVal, const GpuMat& mask, GpuMat& buf)
{
using namespace mathfunc::minmax;
typedef void (*Caller)(const DevMem2D, double*, double*, PtrStep);
static const Caller callers[2][7] =
{ { min_max_multipass_caller<unsigned char>, min_max_multipass_caller<signed char>,
min_max_multipass_caller<unsigned short>, min_max_multipass_caller<signed short>,
min_max_multipass_caller<int>, min_max_multipass_caller<float>, 0 },
{ min_max_caller<unsigned char>, min_max_caller<signed char>,
min_max_caller<unsigned short>, min_max_caller<signed short>,
min_max_caller<int>, min_max_caller<float>, min_max_caller<double> } };
typedef void (*MaskedCaller)(const DevMem2D, const PtrStep, double*, double*, PtrStep);
static const MaskedCaller masked_callers[2][7] =
{ { min_max_mask_multipass_caller<unsigned char>, min_max_mask_multipass_caller<signed char>,
min_max_mask_multipass_caller<unsigned short>, min_max_mask_multipass_caller<signed short>,
min_max_mask_multipass_caller<int>, min_max_mask_multipass_caller<float>, 0 },
{ min_max_mask_caller<unsigned char>, min_max_mask_caller<signed char>,
min_max_mask_caller<unsigned short>, min_max_mask_caller<signed short>,
min_max_mask_caller<int>, min_max_mask_caller<float>,
min_max_mask_caller<double> } };
CV_Assert(src.channels() == 1);
CV_Assert(mask.empty() || (mask.type() == CV_8U && src.size() == mask.size()));
CV_Assert(src.type() != CV_64F || hasNativeDoubleSupport(getDevice()));
double minVal_; if (!minVal) minVal = &minVal_;
double maxVal_; if (!maxVal) maxVal = &maxVal_;
GpuMat src_ = src.reshape(1);
Size bufSize;
get_buf_size_required(src.elemSize(), bufSize.width, bufSize.height);
buf.create(bufSize, CV_8U);
int device = getDevice();
if (hasAtomicsSupport(device))
if (mask.empty())
{
switch (src_.type())
{
case CV_8U: min_max_caller<unsigned char>(src_, minVal, maxVal, buf); break;
case CV_8S: min_max_caller<signed char>(src_, minVal, maxVal, buf); break;
case CV_16U: min_max_caller<unsigned short>(src_, minVal, maxVal, buf); break;
case CV_16S: min_max_caller<signed short>(src_, minVal, maxVal, buf); break;
case CV_32S: min_max_caller<int>(src_, minVal, maxVal, buf); break;
case CV_32F: min_max_caller<float>(src_, minVal, maxVal, buf); break;
case CV_64F:
if (hasNativeDoubleSupport(device))
{
min_max_caller<double>(src_, minVal, maxVal, buf);
break;
}
default: CV_Error(CV_StsBadArg, "minMax: unsupported type");
}
Caller caller = callers[hasAtomicsSupport(getDevice())][src.type()];
if (!caller) CV_Error(CV_StsBadArg, "minMax: unsupported type");
caller(src, minVal, maxVal, buf);
}
else
{
switch (src_.type())
{
case CV_8U: min_max_caller_2steps<unsigned char>(src_, minVal, maxVal, buf); break;
case CV_8S: min_max_caller_2steps<signed char>(src_, minVal, maxVal, buf); break;
case CV_16U: min_max_caller_2steps<unsigned short>(src_, minVal, maxVal, buf); break;
case CV_16S: min_max_caller_2steps<signed short>(src_, minVal, maxVal, buf); break;
case CV_32S: min_max_caller_2steps<int>(src_, minVal, maxVal, buf); break;
case CV_32F: min_max_caller_2steps<float>(src_, minVal, maxVal, buf); break;
default: CV_Error(CV_StsBadArg, "minMax: unsupported type");
}
MaskedCaller caller = masked_callers[hasAtomicsSupport(getDevice())][src.type()];
if (!caller) CV_Error(CV_StsBadArg, "minMax: unsupported type");
caller(src, mask, minVal, maxVal, buf);
}
}
@@ -575,7 +581,7 @@ namespace cv { namespace gpu { namespace mathfunc { namespace minmaxloc {
int minloc[2], int maxloc[2], PtrStep valbuf, PtrStep locbuf);
template <typename T>
void min_max_loc_caller_2steps(const DevMem2D src, double* minval, double* maxval,
void min_max_loc_multipass_caller(const DevMem2D src, double* minval, double* maxval,
int minloc[2], int maxloc[2], PtrStep valbuf, PtrStep locbuf);
}}}}
@@ -627,12 +633,12 @@ void cv::gpu::minMaxLoc(const GpuMat& src, double* minVal, double* maxVal, Point
{
switch (src.type())
{
case CV_8U: min_max_loc_caller_2steps<unsigned char>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
case CV_8S: min_max_loc_caller_2steps<signed char>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
case CV_16U: min_max_loc_caller_2steps<unsigned short>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
case CV_16S: min_max_loc_caller_2steps<signed short>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
case CV_32S: min_max_loc_caller_2steps<int>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
case CV_32F: min_max_loc_caller_2steps<float>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
case CV_8U: min_max_loc_multipass_caller<unsigned char>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
case CV_8S: min_max_loc_multipass_caller<signed char>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
case CV_16U: min_max_loc_multipass_caller<unsigned short>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
case CV_16S: min_max_loc_multipass_caller<signed short>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
case CV_32S: min_max_loc_multipass_caller<int>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
case CV_32F: min_max_loc_multipass_caller<float>(src, minVal, maxVal, minLoc_, maxLoc_, valbuf, locbuf); break;
default: CV_Error(CV_StsBadArg, "minMaxLoc: unsupported type");
}
}
@@ -652,7 +658,7 @@ namespace cv { namespace gpu { namespace mathfunc { namespace countnonzero {
int count_non_zero_caller(const DevMem2D src, PtrStep buf);
template <typename T>
int count_non_zero_caller_2steps(const DevMem2D src, PtrStep buf);
int count_non_zero_multipass_caller(const DevMem2D src, PtrStep buf);
}}}}
@@ -691,12 +697,12 @@ int cv::gpu::countNonZero(const GpuMat& src, GpuMat& buf)
{
switch (src.type())
{
case CV_8U: return count_non_zero_caller_2steps<unsigned char>(src, buf);
case CV_8S: return count_non_zero_caller_2steps<signed char>(src, buf);
case CV_16U: return count_non_zero_caller_2steps<unsigned short>(src, buf);
case CV_16S: return count_non_zero_caller_2steps<signed short>(src, buf);
case CV_32S: return count_non_zero_caller_2steps<int>(src, buf);
case CV_32F: return count_non_zero_caller_2steps<float>(src, buf);
case CV_8U: return count_non_zero_multipass_caller<unsigned char>(src, buf);
case CV_8S: return count_non_zero_multipass_caller<signed char>(src, buf);
case CV_16U: return count_non_zero_multipass_caller<unsigned short>(src, buf);
case CV_16S: return count_non_zero_multipass_caller<signed short>(src, buf);
case CV_32S: return count_non_zero_multipass_caller<int>(src, buf);
case CV_32F: return count_non_zero_multipass_caller<float>(src, buf);
}
}

141
modules/gpu/src/cuda/mathfunc.cu
View File

@@ -480,8 +480,8 @@ namespace cv { namespace gpu { namespace mathfunc
}
template <int nthreads, typename T>
__global__ void min_max_kernel(const DevMem2D src, T* minval, T* maxval)
template <int nthreads, typename T, typename Mask>
__global__ void min_max_kernel(const DevMem2D src, Mask mask, T* minval, T* maxval)
{
typedef typename MinMaxTypeTraits<T>::best_type best_type;
__shared__ best_type sminval[nthreads];
@@ -491,17 +491,21 @@ namespace cv { namespace gpu { namespace mathfunc
unsigned int y0 = blockIdx.y * blockDim.y * ctheight + threadIdx.y;
unsigned int tid = threadIdx.y * blockDim.x + threadIdx.x;
T val;
T mymin = numeric_limits_gpu<T>::max();
T mymax = numeric_limits_gpu<T>::min();
for (unsigned int y = 0; y < ctheight && y0 + y * blockDim.y < src.rows; ++y)
unsigned int y_end = min(y0 + (ctheight - 1) * blockDim.y + 1, src.rows);
unsigned int x_end = min(x0 + (ctwidth - 1) * blockDim.x + 1, src.cols);
for (unsigned int y = y0; y < y_end; y += blockDim.y)
{
const T* ptr = (const T*)src.ptr(y0 + y * blockDim.y);
for (unsigned int x = 0; x < ctwidth && x0 + x * blockDim.x < src.cols; ++x)
const T* src_row = (const T*)src.ptr(y);
for (unsigned int x = x0; x < x_end; x += blockDim.x)
{
val = ptr[x0 + x * blockDim.x];
mymin = min(mymin, val);
mymax = max(mymax, val);
T val = src_row[x];
if (mask(y, x))
{
mymin = min(mymin, val);
mymax = max(mymax, val);
}
}
}
@@ -559,6 +563,35 @@ namespace cv { namespace gpu { namespace mathfunc
}
template <typename T>
void min_max_mask_caller(const DevMem2D src, const PtrStep mask, double* minval, double* maxval, PtrStep buf)
{
dim3 threads, grid;
estimate_thread_cfg(threads, grid);
estimate_kernel_consts(src.cols, src.rows, threads, grid);
T* minval_buf = (T*)buf.ptr(0);
T* maxval_buf = (T*)buf.ptr(1);
min_max_kernel<256, T, Mask8U><<<grid, threads>>>(src, Mask8U(mask), minval_buf, maxval_buf);
cudaSafeCall(cudaThreadSynchronize());
T minval_, maxval_;
cudaSafeCall(cudaMemcpy(&minval_, minval_buf, sizeof(T), cudaMemcpyDeviceToHost));
cudaSafeCall(cudaMemcpy(&maxval_, maxval_buf, sizeof(T), cudaMemcpyDeviceToHost));
*minval = minval_;
*maxval = maxval_;
}
template void min_max_mask_caller<unsigned char>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template void min_max_mask_caller<signed char>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template void min_max_mask_caller<unsigned short>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template void min_max_mask_caller<signed short>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template void min_max_mask_caller<int>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template void min_max_mask_caller<float>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template void min_max_mask_caller<double>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template <typename T>
void min_max_caller(const DevMem2D src, double* minval, double* maxval, PtrStep buf)
{
@@ -569,7 +602,7 @@ namespace cv { namespace gpu { namespace mathfunc
T* minval_buf = (T*)buf.ptr(0);
T* maxval_buf = (T*)buf.ptr(1);
min_max_kernel<256, T><<<grid, threads>>>(src, minval_buf, maxval_buf);
min_max_kernel<256, T, MaskTrue><<<grid, threads>>>(src, MaskTrue(), minval_buf, maxval_buf);
cudaSafeCall(cudaThreadSynchronize());
T minval_, maxval_;
@@ -584,13 +617,12 @@ namespace cv { namespace gpu { namespace mathfunc
template void min_max_caller<unsigned short>(const DevMem2D, double*, double*, PtrStep);
template void min_max_caller<signed short>(const DevMem2D, double*, double*, PtrStep);
template void min_max_caller<int>(const DevMem2D, double*, double*, PtrStep);
template void min_max_caller<float>(const DevMem2D, double*, double*, PtrStep);
template void min_max_caller<float>(const DevMem2D, double*,double*, PtrStep);
template void min_max_caller<double>(const DevMem2D, double*, double*, PtrStep);
// This kernel will be used only when compute capability is 1.0
template <int nthreads, typename T>
__global__ void min_max_kernel_2ndstep(T* minval, T* maxval, int size)
__global__ void min_max_pass2_kernel(T* minval, T* maxval, int size)
{
typedef typename MinMaxTypeTraits<T>::best_type best_type;
__shared__ best_type sminval[nthreads];
@@ -615,7 +647,7 @@ namespace cv { namespace gpu { namespace mathfunc
template <typename T>
void min_max_caller_2steps(const DevMem2D src, double* minval, double* maxval, PtrStep buf)
void min_max_mask_multipass_caller(const DevMem2D src, const PtrStep mask, double* minval, double* maxval, PtrStep buf)
{
dim3 threads, grid;
estimate_thread_cfg(threads, grid);
@@ -624,8 +656,8 @@ namespace cv { namespace gpu { namespace mathfunc
T* minval_buf = (T*)buf.ptr(0);
T* maxval_buf = (T*)buf.ptr(1);
min_max_kernel<256, T><<<grid, threads>>>(src, minval_buf, maxval_buf);
min_max_kernel_2ndstep<256, T><<<1, 256>>>(minval_buf, maxval_buf, grid.x * grid.y);
min_max_kernel<256, T, Mask8U><<<grid, threads>>>(src, Mask8U(mask), minval_buf, maxval_buf);
min_max_pass2_kernel<256, T><<<1, 256>>>(minval_buf, maxval_buf, grid.x * grid.y);
cudaSafeCall(cudaThreadSynchronize());
T minval_, maxval_;
@@ -635,12 +667,41 @@ namespace cv { namespace gpu { namespace mathfunc
*maxval = maxval_;
}
template void min_max_caller_2steps<unsigned char>(const DevMem2D, double*, double*, PtrStep);
template void min_max_caller_2steps<signed char>(const DevMem2D, double*, double*, PtrStep);
template void min_max_caller_2steps<unsigned short>(const DevMem2D, double*, double*, PtrStep);
template void min_max_caller_2steps<signed short>(const DevMem2D, double*, double*, PtrStep);
template void min_max_caller_2steps<int>(const DevMem2D, double*, double*, PtrStep);
template void min_max_caller_2steps<float>(const DevMem2D, double*, double*, PtrStep);
template void min_max_mask_multipass_caller<unsigned char>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template void min_max_mask_multipass_caller<signed char>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template void min_max_mask_multipass_caller<unsigned short>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template void min_max_mask_multipass_caller<signed short>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template void min_max_mask_multipass_caller<int>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template void min_max_mask_multipass_caller<float>(const DevMem2D, const PtrStep, double*, double*, PtrStep);
template <typename T>
void min_max_multipass_caller(const DevMem2D src, double* minval, double* maxval, PtrStep buf)
{
dim3 threads, grid;
estimate_thread_cfg(threads, grid);
estimate_kernel_consts(src.cols, src.rows, threads, grid);
T* minval_buf = (T*)buf.ptr(0);
T* maxval_buf = (T*)buf.ptr(1);
min_max_kernel<256, T, MaskTrue><<<grid, threads>>>(src, MaskTrue(), minval_buf, maxval_buf);
min_max_pass2_kernel<256, T><<<1, 256>>>(minval_buf, maxval_buf, grid.x * grid.y);
cudaSafeCall(cudaThreadSynchronize());
T minval_, maxval_;
cudaSafeCall(cudaMemcpy(&minval_, minval_buf, sizeof(T), cudaMemcpyDeviceToHost));
cudaSafeCall(cudaMemcpy(&maxval_, maxval_buf, sizeof(T), cudaMemcpyDeviceToHost));
*minval = minval_;
*maxval = maxval_;
}
template void min_max_multipass_caller<unsigned char>(const DevMem2D, double*, double*, PtrStep);
template void min_max_multipass_caller<signed char>(const DevMem2D, double*, double*, PtrStep);
template void min_max_multipass_caller<unsigned short>(const DevMem2D, double*, double*, PtrStep);
template void min_max_multipass_caller<signed short>(const DevMem2D, double*, double*, PtrStep);
template void min_max_multipass_caller<int>(const DevMem2D, double*, double*, PtrStep);
template void min_max_multipass_caller<float>(const DevMem2D, double*, double*, PtrStep);
} // namespace minmax
@@ -861,7 +922,7 @@ namespace cv { namespace gpu { namespace mathfunc
// This kernel will be used only when compute capability is 1.0
template <int nthreads, typename T>
__global__ void min_max_loc_kernel_2ndstep(T* minval, T* maxval, unsigned int* minloc, unsigned int* maxloc, int size)
__global__ void min_max_loc_pass2_kernel(T* minval, T* maxval, unsigned int* minloc, unsigned int* maxloc, int size)
{
typedef typename MinMaxTypeTraits<T>::best_type best_type;
__shared__ best_type sminval[nthreads];
@@ -892,7 +953,7 @@ namespace cv { namespace gpu { namespace mathfunc
template <typename T>
void min_max_loc_caller_2steps(const DevMem2D src, double* minval, double* maxval,
void min_max_loc_multipass_caller(const DevMem2D src, double* minval, double* maxval,
int minloc[2], int maxloc[2], PtrStep valbuf, PtrStep locbuf)
{
dim3 threads, grid;
@@ -905,7 +966,7 @@ namespace cv { namespace gpu { namespace mathfunc
unsigned int* maxloc_buf = (unsigned int*)locbuf.ptr(1);
min_max_loc_kernel<256, T><<<grid, threads>>>(src, minval_buf, maxval_buf, minloc_buf, maxloc_buf);
min_max_loc_kernel_2ndstep<256, T><<<1, 256>>>(minval_buf, maxval_buf, minloc_buf, maxloc_buf, grid.x * grid.y);
min_max_loc_pass2_kernel<256, T><<<1, 256>>>(minval_buf, maxval_buf, minloc_buf, maxloc_buf, grid.x * grid.y);
cudaSafeCall(cudaThreadSynchronize());
T minval_, maxval_;
@@ -921,12 +982,12 @@ namespace cv { namespace gpu { namespace mathfunc
maxloc[1] = maxloc_ / src.cols; maxloc[0] = maxloc_ - maxloc[1] * src.cols;
}
template void min_max_loc_caller_2steps<unsigned char>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
template void min_max_loc_caller_2steps<signed char>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
template void min_max_loc_caller_2steps<unsigned short>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
template void min_max_loc_caller_2steps<signed short>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
template void min_max_loc_caller_2steps<int>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
template void min_max_loc_caller_2steps<float>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
template void min_max_loc_multipass_caller<unsigned char>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
template void min_max_loc_multipass_caller<signed char>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
template void min_max_loc_multipass_caller<unsigned short>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
template void min_max_loc_multipass_caller<signed short>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
template void min_max_loc_multipass_caller<int>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
template void min_max_loc_multipass_caller<float>(const DevMem2D, double*, double*, int[2], int[2], PtrStep, PtrStep);
} // namespace minmaxloc
@@ -1070,7 +1131,7 @@ namespace cv { namespace gpu { namespace mathfunc
template <int nthreads, typename T>
__global__ void count_non_zero_kernel_2ndstep(unsigned int* count, int size)
__global__ void count_non_zero_pass2_kernel(unsigned int* count, int size)
{
__shared__ unsigned int scount[nthreads];
unsigned int tid = threadIdx.y * blockDim.x + threadIdx.x;
@@ -1087,7 +1148,7 @@ namespace cv { namespace gpu { namespace mathfunc
template <typename T>
int count_non_zero_caller_2steps(const DevMem2D src, PtrStep buf)
int count_non_zero_multipass_caller(const DevMem2D src, PtrStep buf)
{
dim3 threads, grid;
estimate_thread_cfg(threads, grid);
@@ -1096,7 +1157,7 @@ namespace cv { namespace gpu { namespace mathfunc
unsigned int* count_buf = (unsigned int*)buf.ptr(0);
count_non_zero_kernel<256, T><<<grid, threads>>>(src, count_buf);
count_non_zero_kernel_2ndstep<256, T><<<1, 256>>>(count_buf, grid.x * grid.y);
count_non_zero_pass2_kernel<256, T><<<1, 256>>>(count_buf, grid.x * grid.y);
cudaSafeCall(cudaThreadSynchronize());
unsigned int count;
@@ -1105,12 +1166,12 @@ namespace cv { namespace gpu { namespace mathfunc
return count;
}
template int count_non_zero_caller_2steps<unsigned char>(const DevMem2D, PtrStep);
template int count_non_zero_caller_2steps<signed char>(const DevMem2D, PtrStep);
template int count_non_zero_caller_2steps<unsigned short>(const DevMem2D, PtrStep);
template int count_non_zero_caller_2steps<signed short>(const DevMem2D, PtrStep);
template int count_non_zero_caller_2steps<int>(const DevMem2D, PtrStep);
template int count_non_zero_caller_2steps<float>(const DevMem2D, PtrStep);
template int count_non_zero_multipass_caller<unsigned char>(const DevMem2D, PtrStep);
template int count_non_zero_multipass_caller<signed char>(const DevMem2D, PtrStep);
template int count_non_zero_multipass_caller<unsigned short>(const DevMem2D, PtrStep);
template int count_non_zero_multipass_caller<signed short>(const DevMem2D, PtrStep);
template int count_non_zero_multipass_caller<int>(const DevMem2D, PtrStep);
template int count_non_zero_multipass_caller<float>(const DevMem2D, PtrStep);
} // namespace countnonzero